6,514 results on '"Manea A"'
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2. Epidemiological and histological characteristics of cutaneous squamous cell carcinoma and its precursor lesions – A single-center study
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Cocuz Iuliu Gabriel, Popelea Maria-Cătălina, Manea Andrei, Niculescu Raluca, Sabău Adrian-Horațiu, and Cotoi Ovidiu Simion
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cutaneous squamous cell carcinoma ,histopathology ,non-melanocytic skin cancers ,skin ,Medicine - Abstract
Cutaneous squamous cell carcinoma (cSCC) is a skin malignancy that is one of the non-melanocytic skin cancers (NMSCs). The objective of our study was to highlight the epidemiological and histological characteristics of cSCC diagnosed in a clinical county hospital.
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- 2023
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3. Neutrophilic urticarial dermatosis without systemic disease: case report
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Sukaina Al Haddad, Abdulrahman Alfawzan, Maisa Alfalah, and Manea Alharbi
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Neutrophilic ,urticaria ,anakinra ,neutrophilic urticarial dermatosis ,Dermatology ,RL1-803 - Abstract
Neutrophilic urticarial dermatosis (NUD) is an uncommon and not well understood disease. We report a 24-year-old female with persistent present with pruritic and painful urticarial plaques unresponsive to convential treatment. Histopathologically, it demonstrates a perivascular and interstitial neutrophilic infiltrate with leukocytoclasia without evidence of vasculitis or dermal edema consistent with neutrophilic urticarial dermatosis. Further investigations to rule out underlying autoimmune, autoinflammatory and gentic systemic disease were negative. Furthermore, the cutaneous eruption was resistant to multiple therapeutic interventions including colchicine and dapsone treatment, and show significant response to treatment with anakinra, interleukin-1 receptor antagonist. Based on literature review, the case reported here is the second case with clinical and pathologic features of NUD without systemic disease and the first case of NUD that showed resistant to colchicine and dapsone treatment, with adequate response to anakinra.
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- 2024
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4. STUDENTS’ VIEWS ON ROMANIAN PROFESSION’S LEVEL OF ETHICS
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MANEA ANDREIA, RĂPAN CLAUDIA MIHAELA, and BANŢA VIOREL COSTIN
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perception ,ethics ,students ,accounting degree ,profession ,Commercial geography. Economic geography ,HF1021-1027 ,Economics as a science ,HB71-74 - Abstract
In researching professional ethics, its importance and how it should be taught, we have many times found the question of how much does the respondent’s own morals and upbringing influence the level of aquisitions from academic and professional ethics education that said person will remain with. This article represents a selection from an extensive questionnaire performed online on university students, in Romanian, on 413 respondents between April and June 2021. While the questionnaire comprised nine questions altogether, we chose for this article to look into the correlations of perceived level of ethics of self as compared to that of the Romanian accounting profession as well as analyzing whether there are differences between the opinions of students from accounting colleges and other colleges in what concerns the need. For this article we used five out of the nine questios. For the first research question we found out that of all the respondents saying that they do not perceive the ethics level of the Romanian accountancy profession as high, none of them perceived themselves as being non-ethical, hence they did not see themselves as a part of the problem. For the second question, we could safely conclude that there were not major differences from how accounting and audit students perceived the necessitiy of an ethics course during university as compared to how studnets in other economic degrees perceived it.
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- 2022
5. VALUE RELEVANCE OF OTHER COMPREHENSIVE INCOME AND FAIR VALUE MEASUREMENT
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RĂPAN CLAUDIA MIHAELA, BANŢA VIOREL COSTIN, and MANEA ANDREIA
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value relevance ,other comprehensive income ,revaluation of fixed assets ,Commercial geography. Economic geography ,HF1021-1027 ,Economics as a science ,HB71-74 - Abstract
Fair value measurement raises challenges among the Company’s management and users of financial information. The disclosure of other comprehensive income (OCI) that includes information regarding fair value measurement provides value relevance for all interested stakeholders. The current empirical study explores the value relevance of “other comprehensive income” by analyzing the relationship between the share price, OCI, and the variance of the gain/loss of revaluation reserve for the financial period 2017- 2021 in the case of companies listed on European Stock Exchange markets (Italy, France,Spain and Germany). The results of the study conclude that there is an association between other comprehensive income and the share prices in the context of the revaluation of the fixed assets
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- 2022
6. THE IMPACT OF OTHER COMPREHENSIVE INCOME AND THE AUDIT PRACTICE IN THE PROFESSIONAL JUDGMENTS OF MANAGERS
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RĂPAN CLAUDIA MIHAELA,, BANŢA VIOREL COSTIN, and MANEA ANDREIA
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other comprehensive income ,audit fee ,audit report ,big 4 firms ,Commercial geography. Economic geography ,HF1021-1027 ,Economics as a science ,HB71-74 - Abstract
Other comprehensive income (OCI) may lead to numerous professional judgments that are required to be done by managers, especially due to fair value measurement. The auditors may find this matter as a challenge for their audit risk assessment and extension of their audit work and as a result a specific level of audit fees. Previous empirical studies identified that the volatility of OCI may influence significantly the assessment of the audit risks. This study empirically explores the relationship between the audit fee and the OCI of Big 4 clients and non-Big 4 clients in the case of listed European companies (France, Germany, Spain and Italy) for the period 2017- 2021. We test the hypothesis that when other conditions remained unchanged, other comprehensive income is positively correlated with audit fees. Additionally, we included in the hypotheses tested variables related to the type of audit firm (Big4 or non-Big4) and type of the audit report (qualified or modified audit report). Results indicate that the audit fee in France, Germany, Spain and Italy is not significantly influenced by the audit risks generated by the volatility of OCI. However, Big4 auditors showed awareness regarding this risk and have correspondingly higher fees compared with non -Big4.
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- 2022
7. Digital-Twin-Based Fire Safety Management Framework for Smart Buildings
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Manea Almatared, Hexu Liu, Osama Abudayyeh, Obaidullah Hakim, and Mohammed Sulaiman
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digital twin ,facility management ,fire safety evacuation ,fire safety equipment ,BIM ,Internet of Things ,Building construction ,TH1-9745 - Abstract
In recent years, the implementation of digital twin (DT) technology has gained significant attention in various industries. However, the fire safety management (FSM) sector has been relatively slow in adopting this technology compared to other major industries. Therefore, this study aims to explore the limitations, opportunities, and challenges associated with adopting DT technology in the FSM sector and further develop a DT-based FSM framework towards smart facility management (FM). To achieve this objective, this research started by reviewing several promising DTs for FSM, including building information modeling (BIM), the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR). On this basis, a conceptual framework was synthesized in consideration of the benefits of each technology. A questionnaire was conducted for FM professionals to evaluate the proposed framework and identify the challenges of adopting DT in the FSM sector. The survey results reveal that the proposed framework can assist decision makers in obtaining comprehensive information about facilities’ communication among stakeholders. The survey results validate the potential of the adoption of DTs toward smart FM practices in FSM. The survey results provide insights into the perception of DT technology among FM practitioners and identify the current state of DT technology in the FSM sector, its expected benefits, and its potential challenges. The main barriers to adopting DTs in FSM are a lack of knowledge about DTs, their initial costs, user acceptance, difficulties in systems integration, education training costs, a lack of competence, development complexity, difficulties in data management, and a lack of trust in data security.
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- 2023
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8. Data Fusion for Smart Civil Infrastructure Management: A Conceptual Digital Twin Framework
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Obaidullah Hakimi, Hexu Liu, Osama Abudayyeh, Azim Houshyar, Manea Almatared, and Ali Alhawiti
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digital twin ,smart infrastructure management ,O&M ,data fusion ,openBIM ,GIS ,Building construction ,TH1-9745 - Abstract
Effective civil infrastructure management necessitates the utilization of timely data across the entire asset lifecycle for condition assessment and predictive maintenance. A notable gap in current predictive maintenance practices is the reliance on single-source data instead of heterogeneous data, decreasing data accuracy, reliability, adaptability, and further effectiveness of engineering decision-making. Data fusion is thus demanded to transform low-dimensional decisions from individual sensors into high-dimensional ones for decision optimization. In this context, digital twin (DT) technology is set to revolutionize the civil infrastructure industry by facilitating real-time data processing and informed decision-making. However, data-driven smart civil infrastructure management using DT is not yet achieved, especially in terms of data fusion. This paper aims to establish a conceptual framework for harnessing DT technology with data fusion to ensure the efficiency of civil infrastructures throughout their lifecycle. To achieve this objective, a systematic review of 105 papers was conducted to thematically analyze data fusion approaches and DT frameworks for civil infrastructure management, including their applications, core DT technologies, and challenges. Several gaps are identified, such as the difficulty in data integration due to data heterogeneity, seamless interoperability, difficulties associated with data quality, maintaining the semantic features of big data, technological limitations, and complexities with algorithm selection. Given these challenges, this research proposed a framework emphasizing multilayer data fusion, the integration of open building information modeling (openBIM) and geographic information system (GIS) for immersive visualization and stakeholder engagement, and the adoption of extended industry foundation classes (IFC) for data integration throughout the asset lifecycle.
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- 2023
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9. SIRT1/Nrf2/NF-κB Signaling Mediates Anti-Inflammatory and Anti-Apoptotic Activities of Oleanolic Acid in a Mouse Model of Acute Hepatorenal Damage
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Manea A. I. Alqrad, Dina S. El-Agamy, Sabrin R. M. Ibrahim, Alaa Sirwi, Hossam M. Abdallah, Essam Abdel-Sattar, Ali M. El-Halawany, Wael M. Elsaed, and Gamal A. Mohamed
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oleanolic acid ,Viscum schimperi ,thioacetamide ,SIRT1/Nrf2/NF-κB ,hepatorenal damage ,Bax/Bcl-2 ,Medicine (General) ,R5-920 - Abstract
Background and objectives: Oleanolic acid (OA) is a penta-cyclic triterpene with diverse bioactivities such as anticarcinogenic, antiviral, antimicrobial, hepatoprotective, anti-atherosclerotic, hypolipidemic, and gastroprotective. However, its effects on hepatorenal damage remain unclear. The protective activity of OA, separated from Viscum schimperi (Loranthaceae), against TAA (thioacetamide)-produced acute hepatic and renal damage was explored. Materials and Methods: Mice were treated with OA for 7 days before TAA (200 mg/kg, i.p.). Serum indices of hepatorenal injury, pathological lesions, molecular biological indexes, and inflammatory/apoptotic genes were estimated. Results: The tissues of both organs were greatly affected by the TAA injection. That was evident through increased serum markers of hepato-renal injury as well as remarkable histopathological lesions. TAA-induced injury was associated with oxidative and inflammatory responses in both organs as there was an elevation of oxidative stress parameters (4-HNE (4-hydroxy-nonenal), MDA (malondialdehyde), NOx (nitric oxide)), decline of antioxidants (reduced glutathione (GSH), superoxide dismutase (SOD), and total antioxidant capacity (TAC)), and an increase in the gene expression/level of inflammatory mediators (interleukins (1β&6)). The inflammatory response was linked to a significant activation of NF-κB (nuclear-factor kappa-B)/TNF-α (tumor-necrosis factor-alpha) signaling. The inflammatory response in both organs was accompanied by apoptotic changes, including a rise in the gene expression and level of apoptotic parameters (caspase-3 and Bax) along with a decline in Bcl-2 (anti-apoptotic parameter) gene expression and level. These pathogenic events were found to be closely related to the suppression of the antioxidant signaling pathway, Nrf2 (nuclear-factor erythroid 2–related factor-2)/SIRT1 (sirtuin-1)/HO-1 (heme-oxygenase 1). On the other hand, OA significantly ameliorated TAA-induced injury in both organs. On the other hand, OA counterpoised the inflammatory response as it ameliorated NF-κB/TNF-α signaling and cytokine release. OA enhanced Nrf2/SIRT1/HO-1 signaling and counteracted apoptotic damage. Conclusions: OA showed anti-inflammation and antiapoptotic capacities that effectively suppressed TAA-induced acute hepatorenal damage.
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- 2023
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10. Investigating late-stage particle production in pp collisions with Balance Functions
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Manea, Alexandru, Pruneau, Claude, Brandibur, Diana Catalina, Danu, Andrea, Dobrin, Alexandru F., Gonzalez, Victor, and Basu, Sumit
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High Energy Physics - Phenomenology - Abstract
Balance functions have been regarded in the past as a method of investigating the late-stage hadronization found in the presence of a strongly-coupled medium. They are also used to constrain mechanisms of particle production in large and small collision systems. Measurements of charge balance functions for inclusive and identified particle pairs are reported as a function of charged particle multiplicity in proton--proton collisions simulated with the PYTHIA8 and the EPOS4 models. The charge balance functions of inclusive, pion, kaon, and proton pairs exhibit amplitudes and shapes that depend on particle species and differ significantly in the two models due to the different particle production mechanisms implemented in PYTHIA and EPOS. The shapes and amplitudes also evolve with multiplicity in both models. In addition, the evolution of the longitudinal rms width and that of balance functions integrals with multiplicity (and average transverse momentum) feature significant differences in the two models.
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- 2024
11. Refining the nuclear mass surface with the mass of $^{103}$Sn
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Nies, L., Atanasov, D., Athanasakis-Kaklamanakis, M., Au, M., Bernerd, C., Blaum, K., Chrysalidis, K., Fischer, P., Heinke, R., Klink, C., Lange, D., Lunney, D., Manea, V., Marsh, B. A., Müller, M., Mougeot, M., Naimi, S., Schweiger, Ch., Schweikhard, L., and Wienholtz, F.
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Nuclear Experiment - Abstract
Mass measurements with the ISOLTRAP mass spectrometer at CERN-ISOLDE improve mass uncertainties of neutron-deficient tin isotopes towards doubly-magic $^{100}$Sn. The mass uncertainty of $^{103}$Sn was reduced by a factor of 4, and the new value for the mass excess of -67104(18) keV is compared with nuclear \textit{ab initio} and density functional theory calculations. Based on these results and local trends in the mass surface, the masses of $^{101,103}$Sn, as determined through their $Q_{\textrm{EC}}$ values, were found to be inconsistent with the new results. From our measurement for $^{103}$Sn, we extrapolate the mass excess of $^{101}$Sn to -60005(300) keV, which is significantly more bound than previously suggested. By correcting the mass values for $^{101,103}$Sn, we also adjust the values of $^{104}$Sb, $^{105,107}$Te, $^{108}$I, $^{109,111}$Xe, and $^{112}$Cs near the proton drip line which are connected through their $\alpha$- and proton $Q$-values. The results show an overall smoothening of the mass surface, suggesting the absence of deformation energy above the ${N=50}$ shell closure., Comment: 13 pages, 6 figures, published in Phys. Rev. C 111, 014315 - 9 January, 2025
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- 2024
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12. Gain Cell-Based Analog Content Addressable Memory for Dynamic Associative tasks in AI
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Manea, Paul-Philipp, Leroux, Nathan, Neftci, Emre, and Strachan, John Paul
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Computer Science - Emerging Technologies - Abstract
Analog Content Addressable Memories (aCAMs) have proven useful for associative in-memory computing applications like Decision Trees, Finite State Machines, and Hyper-dimensional Computing. While non-volatile implementations using FeFETs and ReRAM devices offer speed, power, and area advantages, they suffer from slow write speeds and limited write cycles, making them less suitable for computations involving fully dynamic data patterns. To address these limitations, in this work, we propose a capacitor gain cell-based aCAM designed for dynamic processing, where frequent memory updates are required. Our system compares analog input voltages to boundaries stored in capacitors, enabling efficient dynamic tasks. We demonstrate the application of aCAM within transformer attention mechanisms by replacing the softmax-scaled dot-product similarity with aCAM similarity, achieving competitive results. Circuit simulations on a TSMC 28 nm node show promising performance in terms of energy efficiency, precision, and latency, making it well-suited for fast, dynamic AI applications.
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- 2024
13. Subsequence Matching and Analysis Problems for Formal Languages
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Fazekas, Szilárd Zsolt, Koß, Tore, Manea, Florin, Mercaş, Robert, and Specht, Timo
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Computer Science - Formal Languages and Automata Theory ,Computer Science - Data Structures and Algorithms ,68Q45 ,F.4.3 ,F.2.2 - Abstract
In this paper, we study a series of algorithmic problems related to the subsequences occurring in the strings of a given language, under the assumption that this language is succinctly represented by a grammar generating it, or an automaton accepting it. In particular, we focus on the following problems: Given a string $w$ and a language $L$, does there exist a word of $L$ which has $w$ as subsequence? Do all words of $L$ have $w$ as a subsequence? Given an integer $k$ alongside $L$, does there exist a word of $L$ which has all strings of length $k$, over the alphabet of $L$, as subsequences? Do all words of $L$ have all strings of length $k$ as subsequences? For the last two problems, efficient algorithms were already presented in [Adamson et al., ISAAC 2023] for the case when $L$ is a regular language, and efficient solutions can be easily obtained for the first two problems. We extend that work as follows: we give sufficient conditions on the class of input-languages, under which these problems are decidable; we provide efficient algorithms for all these problems in the case when the input language is context-free; we show that all problems are undecidable for context-sensitive languages. Finally, we provide a series of initial results related to a class of languages that strictly includes the regular languages and is strictly included in the class of context-sensitive languages, but is incomparable to the of class context-free languages; these results deviate significantly from those reported for language-classes from the Chomsky hierarchy., Comment: Abstract to be published in the proceedings of ISAAC 2024
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- 2024
14. Evidence of Truly Young high-$\alpha$ Dwarf Stars
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Lu, Yuxi, Colman, Isabel L., Sayeed, Maryum, Amard, Louis, Buder, Sven, Manea, Catherine, Hattori, Soichiro, Pinsonneault, Marc H., Price-Whelan, Adrian M., Bedell, Megan, Nidever, David, Johnson, Jennifer A., Ness, Melissa, Angus, Ruth, Claytor, Zachary R., Horta, Danny, and Behmard, Aida
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Astrophysics - Solar and Stellar Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
The existence of high-$\alpha$ stars with inferred ages < 6 Gyr has been confirmed recently with large spectroscopic and photometric surveys. However, stellar mergers or binary interactions can induce properties associated with young ages, such as high mass, rapid rotation, or high activity, even in old populations. Literature studies have confirmed that at least some of these apparently young stars are old merger products. However, none have ruled out the possibility of genuinely young high-$\alpha$ stars. Because cool GKM dwarfs spin down, rapid rotation can be used to indicate youth. In this paper, we provide strong evidence that truly young high-$\alpha$ stars exist by studying high-$\alpha$ rotators in the Kepler and K2 field with abundance measurements from GALAH and APOGEE. After excluding close binaries using radial velocity (RV) measurements from Gaia DR3 and multi-epoch RVs from APOGEE, we find a total of 70 high-$\alpha$ rapid rotators with periods ~10-30 days, 29 of which have lithium measurements from GALAH, indicating that they have not gone through past mass transfer or stellar merger events. We identify 10 young high-$\alpha$ candidates with no signs of merger-induced mixing or close companions. One clear example is a G dwarf with a measurable rotation and an age of 1.98$^{+0.12}_{-0.28}$ Gyr that is likely a single star with multiple RV measurements from APOGEE, has significant lithium detection from GALAH (A(Li) = 1.79), and has no signs of planet engulfment., Comment: 21 pages, 13 figures, submitted to AJ
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- 2024
15. Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
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Leroux, Nathan, Manea, Paul-Philipp, Sudarshan, Chirag, Finkbeiner, Jan, Siegel, Sebastian, Strachan, John Paul, and Neftci, Emre
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Computer Science - Neural and Evolutionary Computing ,Computer Science - Artificial Intelligence ,Computer Science - Hardware Architecture ,Computer Science - Emerging Technologies - Abstract
Transformer networks, driven by self-attention, are central to Large Language Models. In generative Transformers, self-attention uses cache memory to store token projections, avoiding recomputation at each time step. However, GPU-stored projections must be loaded into SRAM for each new generation step, causing latency and energy bottlenecks. We present a custom self-attention in-memory computing architecture based on emerging charge-based memories called gain cells, which can be efficiently written to store new tokens during sequence generation and enable parallel analog dot-product computation required for self-attention. However, the analog gain cell circuits introduce non-idealities and constraints preventing the direct mapping of pre-trained models. To circumvent this problem, we design an initialization algorithm achieving text processing performance comparable to GPT-2 without training from scratch. Our architecture respectively reduces attention latency and energy consumption by up to two and five orders of magnitude compared to GPUs, marking a significant step toward ultra-fast, low-power generative Transformers., Comment: 25 pages, 6 figures, 1 table
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- 2024
16. Revisiting Weighted Information Extraction: A Simpler and Faster Algorithm for Ranked Enumeration
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Gawrychowski, Pawel, Manea, Florin, and Schmid, Markus L.
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Computer Science - Data Structures and Algorithms ,Computer Science - Databases ,Computer Science - Formal Languages and Automata Theory - Abstract
Information extraction from textual data, where the query is represented by a finite transducer and the task is to enumerate all results without repetition, and its extension to the weighted case, where each output element has a weight and the output elements are to be enumerated sorted by their weights, are important and well studied problems in database theory. On the one hand, the first framework already covers the well-known case of regular document spanners, while the latter setting covers several practically relevant tasks that cannot be described in the unweighted setting. It is known that in the unweighted case this problem can be solved with linear time preprocessing $O(|D|)$ and output-linear delay $O(|s|)$ in data complexity, where $D$ is the input data and $s$ is the current output element. For the weighted case, Bourhis, Grez, Jachiet, and Riveros [ICDT 2021] recently designed an algorithm with linear time preprocessing, but the delay of $O(|s| \cdot \log|\mathsf{D}|)$ depends on the size of the data. We first show how to leverage the existing results on enumerating shortest paths to obtain a simple alternative algorithm with linear preprocessing and a delay of $O(|s_i| + \min\{ \log i, \log|\mathsf{D}|\})$ for the $i^{\text{th}}$ output element $s_i$ (in data complexity); thus, substantially improving the previous algorithm. Next, we develop a technically involved rounding technique that allows us to devise an algorithm with linear time preprocessing and output-linear delay $O(|s|)$ with high probability. To this end, we combine tools from algebra, high-dimensional geometry, and linear programming.
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- 2024
17. Classification of Covering Spaces and Canonical Change of Basepoint
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Wemmenhove, Jelle, Manea, Cosmin, and Portegies, Jim
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Mathematics - Algebraic Topology ,Computer Science - Logic in Computer Science ,Mathematics - Logic ,68V20 ,F.4.1 ,I.2.4 - Abstract
Using the language of homotopy type theory (HoTT), we 1) prove a synthetic version of the classification theorem for covering spaces, and 2) explore the existence of canonical change-of-basepoint isomorphisms between homotopy groups. There is some freedom in choosing how to translate concepts from classical algebraic topology into HoTT. The final translations we ended up with are easier to work with than the ones we started with. We discuss some earlier attempts to shed light on this translation process. The proofs are mechanized using the Coq proof assistant and closely follow classical treatments like those by Hatcher., Comment: 23 pages
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- 2024
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18. Proceedings 14th International Workshop on Non-Classical Models of Automata and Applications (NCMA 2024)
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Manea, Florin and Pighizzini, Giovanni
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Computer Science - Formal Languages and Automata Theory ,Computer Science - Computational Complexity - Abstract
The Fourteenth International Workshop on Non-Classical Models of Automata and Applications (NCMA 2024) was held in G\"ottingen, Germany, on August 12 and 13, 2024, at the historic Georg-Augustus-Universit\"at, organized by the Theoretical Computer Science research group of the respective university. The NCMA workshop series was established in 2009 as an annual event for researchers working on non-classical and classical models of automata, grammars or related devices. Such models are investigated both as theoretical models and as formal models for applications from various points of view. The goal of the NCMA workshop series is to exchange and develop novel ideas in order to gain deeper and interdisciplinary coverage of this particular area that may foster new insights and substantial progress.
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- 2024
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19. Discrete Laplacians on the hyperbolic space -- a compared study
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Bucataru, Mihai and Manea, Dragoş
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Mathematics - Numerical Analysis ,Mathematics - Analysis of PDEs - Abstract
The main motivation behind this paper stems from a notable gap in the existing literature: the absence of a discrete counterpart to the Laplace-Beltrami operator on Riemannian manifolds, which can be effectively used to solve PDEs. We consider that the natural approach to pioneer this field is to first explore one of the simplest non-trivial (i.e., non-Euclidean) scenario, specifically focusing on the $2$-dimensional hyperbolic space $\mathbb{H}^2$. To this end, we present two variants of discrete finite-difference operator tailored to this constant negatively curved space, both serving as approximations to the (continuous) Laplace-Beltrami operator within the $\mathrm{L}^2$ framework. Moreover, we prove that the discrete heat equation associated to both aforesaid operators exhibits stability and converges towards the continuous heat-Beltrami Cauchy problem on $\mathbb{H}^2$. Eventually, we illustrate that a discrete Laplacian specifically designed for the geometry of the hyperbolic space yields a more precise approximation and offers advantages from both theoretical and computational perspectives.
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- 2024
20. Hyperspectral imaging reveals that sapropelic mud therapy may improve local tissue oxygenation in elderly
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Calin, Mihaela Antonina, Manea, Dragos, Parasca, Sorin Viorel, Popescu, Cristina, Ionescu, Elena-Valentina, and Munteanu, Constantin
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- 2025
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21. Bond integrity and microleakage of dentin-bonded crowns cemented with bioactive cement in comparison to resin cements: in vitro study
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Fahim Vohra, Manea Altwaim, Abdulaziz S Alshuwaier, Abdullah Alomayri, Modhi Al Deeb, Yasser F AlFawaz, Mohammed Alrabiah, Khold Al Ahdal, Laila Al Deeb, and Tariq Abduljabbar
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Biotechnology ,TP248.13-248.65 - Abstract
Objective: The aim was to compare restorative marginal integrity of ceramic crowns luted with bioactive and resin cements using micro-computed tomography (micro-CT) microleakage evaluations and bond strength assessment. Methods: Thirty molar teeth were prepared by sectioning and polishing for dentin exposure for resin cement build-ups. Teeth were randomly divided among three groups of cements: (1) bioactive (ACTIVA); (2) glass ionomer cement (GIC; Ketac Cem); and (3) resin luting agent (Nexus 3). Bonding regime and build-ups (4 mm × 2 mm) were performed using the recommended protocol. For microleakage assessment, 30 premolar teeth were prepared for dentin-bonded crowns using lithium disilicate ceramic and the computer-aided design and computer-aided manufacturing technique. Crowns were cemented with standard load, cement amount, and duration using three cements (Group A: bioactive; Group B: GIC; Group C: resin) and photopolymerized. Cemented crowns were evaluated for volumetric infiltration using micro-CT (Skyscan, Bruker 1173- at 86 kV, 93 µA, 620 ms) after immersion in 50% solution of silver nitrate (AgNO 3 ) (24 hours). Shear bond strength (SBS) was assessed by fracture of cement build-ups at a cross-head speed of 0.5 mm/min in a universal testing machine. Results: Mean SBS among bioactive (21.54 ± 3.834 MPa) specimens was significantly higher than that for GIC (14.08 ± 3.25 MPa) specimens ( p < 0.01), but they were comparable to resin samples ( p > 0.05) (24.73 ± 4.32 MPa). Microleakage was significantly lower in crowns luted with bioactive (0.381 ± 0.134) cement compared to GIC (1.057 ± 0.399 mm 3 ) ( p < 0.01) and resin (0.734 ± 0.166 mm 3 ) ( p = 0.014) cemented crowns. The type of luting agent had a significant influence on the microleakage of crowns and bond strength to dentin ( p < 0.05). Conclusion: Bioactive cement exhibited less microleakage and comparable SBS to resin luting agents in in vitro conditions.
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- 2020
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22. Subsequences With Generalised Gap Constraints: Upper and Lower Complexity Bounds
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Manea, Florin, Richardsen, Jonas, and Schmid, Markus L.
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Computer Science - Data Structures and Algorithms - Abstract
For two strings u, v over some alphabet A, we investigate the problem of embedding u into w as a subsequence under the presence of generalised gap constraints. A generalised gap constraint is a triple (i, j, C_{i, j}), where 1 <= i < j <= |u| and C_{i, j} is a subset of A^*. Embedding u as a subsequence into v such that (i, j, C_{i, j}) is satisfied means that if u[i] and u[j] are mapped to v[k] and v[l], respectively, then the induced gap v[k + 1..l - 1] must be a string from C_{i, j}. This generalises the setting recently investigated in [Day et al., ISAAC 2022], where only gap constraints of the form C_{i, i + 1} are considered, as well as the setting from [Kosche et al., RP 2022], where only gap constraints of the form C_{1, |u|} are considered. We show that subsequence matching under generalised gap constraints is NP-hard, and we complement this general lower bound with a thorough (parameterised) complexity analysis. Moreover, we identify several efficiently solvable subclasses that result from restricting the interval structure induced by the generalised gap constraints.
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- 2024
23. Asymptotic-preserving finite difference method for partially dissipative hyperbolic systems
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Crin-Barat, Timothée and Manea, Dragoş
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Mathematics - Analysis of PDEs ,Mathematics - Numerical Analysis ,35B40, 35L45, 65M06, 65M15 - Abstract
In this paper, we analyze the preservation of asymptotic properties of partially dissipative hyperbolic systems when switching to a discrete setting. We prove that one of the simplest consistent and unconditionally stable numerical methods - the central finite difference scheme - preserves both the asymptotic behaviour and the parabolic relaxation limit of one-dimensional partially dissipative hyperbolic systems which satisfy the Kalman rank condition. The large time asymptotic-preserving property is achieved by conceiving time-weighted perturbed energy functionals in the spirit of the hypocoercivity theory. For the relaxation-preserving property, drawing inspiration from the observation that solutions in the continuous case exhibit distinct behaviours in low and high frequencies, we introduce a novel discrete Littlewood-Paley theory tailored to the central finite difference scheme. This allows us to prove Bernstein-type estimates for discrete differential operators and leads to a new relaxation result: the strong convergence of the discrete linearized compressible Euler system with damping towards the discrete heat equation, uniformly with respect to the mesh parameter.
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- 2024
24. Towards Automated Construction Quantity Take-Off: An Integrated Approach to Information Extraction from Work Descriptions
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Shengxian Tang, Hexu Liu, Manea Almatared, Osama Abudayyeh, Zhen Lei, and Alvis Fong
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NLP ,quantity take-off ,cost estimation ,construction automation ,work description ,Building construction ,TH1-9745 - Abstract
Construction-oriented quantity take-off (QTO) refers to the process of determining the quantities for construction items or work packages in accordance with their descriptions. However, the current construction-oriented QTO practice relies on estimators’ manual interpretation of work descriptions and manual processes to look up proper building objects for quantity calculation. Hence, this research aims to develop natural language processing (NLP) and rule-based algorithms to automate the information extraction (IE) from work descriptions for QTO in building construction. Specifically, several named entity recognition (NER) models, including Hidden Markov Model (HMM), Conditional Random Field (CRF), Bidirectional-Long Short-Term Memory (Bi-LSTM), and Bi-LSTM+CRF, were developed to identify construction activities, material, building component, product features, measurement unit, and additional information (e.g., work scope) from work descriptions. Cost items in the RSMeans database are used to evaluate the developed models in terms of F1 scores. HMM was found to achieve a 5% higher F1 score in the NER than the other three algorithms. Then, labeling rules and active learning strategies were applied along with the HMM model, which improved F1 score by 3% and reduced the labeling efforts by 26%. The results showed that the proposed IE method successfully interprets the desired information from the work description for QTO. This research contributed to the body of knowledge by the NLP-based information extraction model integrating HMM and formalized labeling rules that automatically process work descriptions and lay a foundation for automated QTO and cost estimation.
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- 2022
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25. Mixed Species Charge and Baryon Balance Functions Studies with PYTHIA
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Pruneau, Claude, Basu, Sumit, Gonzalez, Victor, Hanley, Brian, Marin, Ana, Dobrin, Alexandru F., and Manea, Alexandru
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High Energy Physics - Phenomenology ,High Energy Physics - Experiment ,Nuclear Experiment ,Nuclear Theory - Abstract
Mixed species charge and baryon balance functions are computed based on proton--proton (pp) collisions simulated with the PYTHIA8 model. Simulations are performed with selected values of the collision energy $\sqrt{s}$ and the Monash tune and the Ropes and Shoving modes of PYTHIA8 to explore whether such measurements provide useful new information and constraints on mechanisms of particle production in pp collisions. Charge balance functions are studied based on mixed pairs of pions, kaons, and protons, whereas baryon balance functions are computed for mixed low mass strange and non-strange baryons. Both charge and baryon balance functions of mixed particle pairs feature shapes and amplitudes that sensitively depend on the particle considered owing largely to the particle production mechanisms implemented in PYTHIA. The evolution of balance functions integrals with the longitudinal width of the acceptance are presented and one finds that sums of such integrals for a given reference particle obey expected sum rules for both charge and baryon balance functions. Additionally, both types of balance functions are found to evolve in shape and amplitude with increasing collision energy $\sqrt{s}$ and the PYTHIA tunes considered., Comment: 5 figures, 12 pages
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- 2024
26. Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
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Lu, Zhengyang, Siemer, Stefan, Jha, Piyush, Day, Joel, Manea, Florin, and Ganesh, Vijay
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Computer Science - Artificial Intelligence ,Computer Science - Logic in Computer Science ,Computer Science - Software Engineering - Abstract
Modern SMT solvers, such as Z3, offer user-controllable strategies, enabling users to tailor solving strategies for their unique set of instances, thus dramatically enhancing solver performance for their use case. However, this approach of strategy customization presents a significant challenge: handcrafting an optimized strategy for a class of SMT instances remains a complex and demanding task for both solver developers and users alike. In this paper, we address this problem of automatic SMT strategy synthesis via a novel Monte Carlo Tree Search (MCTS) based method. Our method treats strategy synthesis as a sequential decision-making process, whose search tree corresponds to the strategy space, and employs MCTS to navigate this vast search space. The key innovations that enable our method to identify effective strategies, while keeping costs low, are the ideas of layered and staged MCTS search. These novel heuristics allow for a deeper and more efficient exploration of the strategy space, enabling us to synthesize more effective strategies than the default ones in state-of-the-art (SOTA) SMT solvers. We implement our method, dubbed Z3alpha, as part of the Z3 SMT solver. Through extensive evaluations across six important SMT logics, Z3alpha demonstrates superior performance compared to the SOTA synthesis tool FastSMT, the default Z3 solver, and the CVC5 solver on most benchmarks. Remarkably, on a challenging QF_BV benchmark set, Z3alpha solves 42.7% more instances than the default strategy in the Z3 SMT solver., Comment: Accepted at IJCAI 2024
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- 2024
27. A Payne-Whitham model of urban traffic networks in the presence of traffic lights and its application to traffic optimisation
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van Dissel, Mauritz Cartier, Gora, Paweł, and Manea, Dragoş
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Mathematics - Analysis of PDEs ,Mathematics - Dynamical Systems ,Mathematics - Numerical Analysis ,Physics - Physics and Society ,35Q93, 37M05, 76A30 - Abstract
Urban road transport is a major civilisational and economic challenge, affecting the quality of life and economic activity. Addressing these challenges requires a multidisciplinary approach and sustainable urban planning strategies to mitigate the negative effects of traffic in cities. In this paper, we introduce an extension of one of the most popular macroscopic traffic simulation models, the Payne-Whitham model. We investigate how this model, originally designed to model highway traffic on straight road segments, can be adapted to more realistic conditions with arbitrary road network graphs and multiple intersections with traffic signals. Furthermore, we showcase the practical application of this extension in experiments aimed at optimising traffic signal settings. For computational reasons, these experiments involve the adoption of surrogate models for approximating our extended Payne-Whitham model, and subsequently, we utilise the Differential Evolution optimization algorithm, resulting in the identification of traffic signal settings that enhance the average speed of cars and decrease the total length of queues, thereby facilitating smoother traffic flow.
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- 2024
28. Enumerating m-Length Walks in Directed Graphs with Constant Delay
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Adamson, Duncan, Gawrychowski, Pawel, and Manea, Florin
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Computer Science - Data Structures and Algorithms - Abstract
In this paper, we provide a novel enumeration algorithm for the set of all walks of a given length within a directed graph. Our algorithm has worst-case constant delay between outputting succinct representations of such walks, after a preprocessing step requiring linear time relative to the size of the graph. We apply these results to the problem of enumerating succinct representations of the strings of a given length from a prefix-closed regular language (languages accepted by a finite automaton which has final states only).
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- 2024
29. Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts
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Suthar, Himal, Manea, Tomás, Pak, Dominic, Woodbury, Megan, Eick, Stephanie M, Cathey, Amber, Watkins, Deborah J, Strakovsky, Rita S, Ryva, Brad A, Pennathur, Subramaniam, Zeng, Lixia, Weller, David, Park, June-Soo, Smith, Sabrina, DeMicco, Erin, Padula, Amy, Fry, Rebecca C, Mukherjee, Bhramar, Aguiar, Andrea, Geiger, Sarah Dee, Ng, Shukhan, Huerta-Montanez, Gredia, Vélez-Vega, Carmen, Rosario, Zaira, Cordero, Jose F, Zimmerman, Emily, Woodruff, Tracey J, Morello-Frosch, Rachel, Schantz, Susan L, Meeker, John D, Alshawabkeh, Akram N, Aung, Max T, and Outcomes, on behalf of Program Collaborators for Environmental Influences on Child Health
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Biomedical and Clinical Sciences ,Public Health ,Health Sciences ,Pregnancy ,Clinical Research ,Pediatric ,Women's Health ,Endocrine Disruptors ,Conditions Affecting the Embryonic and Fetal Periods ,Prevention ,2.1 Biological and endogenous factors ,Reproductive health and childbirth ,Good Health and Well Being ,Humans ,Female ,Lipids ,Fluorocarbons ,Child Health ,Cohort Studies ,Cross-Sectional Studies ,Adult ,Environmental Pollutants ,Environmental Exposure ,Maternal Exposure ,Child ,PFAS ,mixtures ,bioactive lipids ,eicosanoids ,pregnancy outcomes ,inflammatory pathways ,metabolic pathways ,Program Collaborators for Environmental Influences on Child Health Outcomes ,Environmental Sciences - Abstract
Prenatal per- and poly-fluoroalkyl substances (PFAS) exposure may influence gestational outcomes through bioactive lipids─metabolic and inflammation pathway indicators. We estimated associations between prenatal PFAS exposure and bioactive lipids, measuring 12 serum PFAS and 50 plasma bioactive lipids in 414 pregnant women (median 17.4 weeks' gestation) from three Environmental influences on Child Health Outcomes Program cohorts. Pairwise association estimates across cohorts were obtained through linear mixed models and meta-analysis, adjusting the former for false discovery rates. Associations between the PFAS mixture and bioactive lipids were estimated using quantile g-computation. Pairwise analyses revealed bioactive lipid levels associated with PFDeA, PFNA, PFOA, and PFUdA (p < 0.05) across three enzymatic pathways (cyclooxygenase, cytochrome p450, lipoxygenase) in at least one combined cohort analysis, and PFOA and PFUdA (q < 0.2) in one linear mixed model. The strongest signature revealed doubling in PFOA corresponding with PGD2 (cyclooxygenase pathway; +24.3%, 95% CI: 7.3-43.9%) in the combined cohort. Mixture analysis revealed nine positive associations across all pathways with the PFAS mixture, the strongest signature indicating a quartile increase in the PFAS mixture associated with PGD2 (+34%, 95% CI: 8-66%), primarily driven by PFOS. Bioactive lipids emerged as prenatal PFAS exposure biomarkers, deepening insights into PFAS' influence on pregnancy outcomes.
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- 2024
30. Influence of Ceramic Lumineers on Inflammatory Periodontal Parameters and Gingival Crevicular Fluid IL-6 and TNF-α Levels—A Clinical Trial
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Ali Alrahlah, Manea Altwaim, Abdulaziz Alshuwaier, Malik Eldesouky, Khaled M. Alzahrani, Esraa A. Attar, Abdullah Alshahrani, Eisha Abrar, Fahim Vohra, and Tariq Abduljabbar
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ceramic ,restoration ,periodontitis ,gingival exudates ,ELISA ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The aim was to evaluate the effect of ceramic lumineers on inflammatory periodontal parameters, gingival crevicular fluid (GCF) flow rate and cytokine profile. Patients were provided with lumineers using standardized technique including minimal to no preparation. Ceramic lumineers were etched with hydrofluoric acid and teeth with phosphoric acid followed by adhesive cementation. Periodontal parameters (Plaque index (PI), bleeding on probing (BOP), periodontal pocket depth (PPD), and clinical attachment loss (CAL)) were recorded at baseline and after 4, 12, and 24 weeks of lumineer cementation. Assessment of GCF flow rate and levels of IL-6 and TNF-α was made using enzyme linked immunosorbent assay (ELISA). The statistical significance was determined by the t-test, analysis of variance and post hoc Tukey’s test. It was found that PI, BOP, PPD, and CAL at baseline and 24 weeks were comparable (p > 0.05). The GCF volume at baseline was comparable to the GCF at week 24 (p > 0.05). The IL-6 levels at baseline (5.4 ± 3.6) were similar to those at 24 week (7.4 ± 5.2) (p > 0.05). The TNF-α at week 4 (65.3 ± 16.2), 12 (25 ± 10.2), and 24 (21.3 ± 7.6) was higher than the baseline (13.7 ± 5.8) (p < 0.05). Clinical periodontal parameters and GCF volume among patients treated with ceramic lumineers at baseline and twenty-four week follow-up were comparable. The GCF TNF-α levels significantly increased after ceramic lumineer cementation at 24-week follow-up.
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- 2021
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31. $k$-Universality of Regular Languages
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Adamson, Duncan, Fleischmann, Pamela, Huch, Annika, Koß, Tore, Manea, Florin, and Nowotka, Dirk
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Computer Science - Formal Languages and Automata Theory ,Computer Science - Data Structures and Algorithms - Abstract
A subsequence of a word $w$ is a word $u$ such that $u = w[i_1] w[i_2] \dots w[i_{k}]$, for some set of indices $1 \leq i_1 < i_2 < \dots < i_k \leq \lvert w\rvert$. A word $w$ is $k$-subsequence universal over an alphabet $\Sigma$ if every word in $\Sigma^k$ appears in $w$ as a subsequence. In this paper, we study the intersection between the set of $k$-subsequence universal words over some alphabet $\Sigma$ and regular languages over $\Sigma$. We call a regular language $L$ \emph{$k$-$\exists$-subsequence universal} if there exists a $k$-subsequence universal word in $L$, and \emph{$k$-$\forall$-subsequence universal} if every word of $L$ is $k$-subsequence universal. We give algorithms solving the problems of deciding if a given regular language, represented by a finite automaton recognising it, is \emph{$k$-$\exists$-subsequence universal} and, respectively, if it is \emph{$k$-$\forall$-subsequence universal}, for a given $k$. The algorithms are FPT w.r.t.~the size of the input alphabet, and their run-time does not depend on $k$; they run in polynomial time in the number $n$ of states of the input automaton when the size of the input alphabet is $O(\log n)$. Moreover, we show that the problem of deciding if a given regular language is \emph{$k$-$\exists$-subsequence universal} is NP-complete, when the language is over a large alphabet. Further, we provide algorithms for counting the number of $k$-subsequence universal words (paths) accepted by a given deterministic (respectively, nondeterministic) finite automaton, and ranking an input word (path) within the set of $k$-subsequence universal words accepted by a given finite automaton.
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- 2023
32. Chemical Doppelgangers in GALAH DR3: the Distinguishing Power of Neutron-Capture Elements Among Milky Way Disk Stars
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Manea, Catherine, Hawkins, Keith, Ness, Melissa K., Buder, Sven, Martell, Sarah L., and Zucker, Daniel B.
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Astrophysics - Solar and Stellar Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
The observed chemical diversity of Milky Way stars places important constraints on Galactic chemical evolution and the mixing processes that operate within the interstellar medium. Recent works have found that the chemical diversity of disk stars is low. For example, the APOGEE "chemical doppelganger rate," or the rate at which random pairs of field stars appear as chemically similar as stars born together, is high, and the chemical distributions of APOGEE stars in some Galactic populations are well-described by two-dimensional models. However, limited attention has been paid to the heavy elements (Z > 30) in this context. In this work, we probe the potential for neutron-capture elements to enhance the chemical diversity of stars by determining their effect on the chemical doppelganger rate. We measure the doppelganger rate in GALAH DR3, with abundances rederived using The Cannon, and find that considering the neutron-capture elements decreases the doppelganger rate from 2.2% to 0.4%, nearly a factor of 6, for stars with -0.1 < [Fe/H] < 0.1. While chemical similarity correlates with similarity in age and dynamics, including neutron-capture elements does not appear to select stars that are more similar in these characteristics. Our results highlight that the neutron-capture elements contain information that is distinct from that of the lighter elements and thus add at least one dimension to Milky Way abundance space. This work illustrates the importance of considering the neutron-capture elements when chemically characterizing stars and motivates ongoing work to improve their atomic data and measurements in spectroscopic surveys., Comment: 23 pages, 16 figures, 1 table. Submitted to AAS Journals, comments welcome. Associated catalog of high precision, Cannon-rederived abundances for GALAH giants to be made publicly available upon acceptance and available now upon request. See Walsen et al. 2023 for a complementary, high precision, Cannon-rederived abundance catalog for GALAH solar twins
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- 2023
33. ELemental abundances of Planets and brown dwarfs Imaged around Stars (ELPIS): I. Potential Metal Enrichment of the Exoplanet AF Lep b and a Novel Retrieval Approach for Cloudy Self-luminous Atmospheres
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Zhang, Zhoujian, Mollière, Paul, Hawkins, Keith, Manea, Catherine, Fortney, Jonathan J., Morley, Caroline V., Skemer, Andrew, Marley, Mark S., Bowler, Brendan P., Carter, Aarynn L., Franson, Kyle, Maas, Zachary G., and Sneden, Christopher
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Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
AF Lep A+b is a remarkable planetary system hosting a gas-giant planet that has the lowest dynamical mass among directly imaged exoplanets. We present an in-depth analysis of the atmospheric composition of the star and planet to probe the planet's formation pathway. Based on new high-resolution spectroscopy of AF Lep A, we measure a uniform set of stellar parameters and elemental abundances (e.g., [Fe/H] = $-0.27 \pm 0.31$ dex). The planet's dynamical mass ($2.8^{+0.6}_{-0.5}$ M$_{\rm Jup}$) and orbit are also refined using published radial velocities, relative astrometry, and absolute astrometry. We use petitRADTRANS to perform chemically-consistent atmospheric retrievals for AF Lep b. The radiative-convective equilibrium temperature profiles are incorporated as parameterized priors on the planet's thermal structure, leading to a robust characterization for cloudy self-luminous atmospheres. This novel approach is enabled by constraining the temperature-pressure profiles via the temperature gradient $(d\ln{T}/d\ln{P})$, a departure from previous studies that solely modeled the temperature. Through multiple retrievals performed on different portions of the $0.9-4.2$ $\mu$m spectrophotometry, along with different priors on the planet's mass and radius, we infer that AF Lep b likely possesses a metal-enriched atmosphere ([Fe/H] $> 1.0$ dex). AF Lep b's potential metal enrichment may be due to planetesimal accretion, giant impacts, and/or core erosion. The first process coincides with the debris disk in the system, which could be dynamically excited by AF Lep b and lead to planetesimal bombardment. Our analysis also determines $T_{\rm eff} \approx 800$ K, $\log{(g)} \approx 3.7$ dex, and the presence of silicate clouds and dis-equilibrium chemistry in the atmosphere. Straddling the L/T transition, AF Lep b is thus far the coldest exoplanet with suggested evidence of silicate clouds., Comment: AJ, in press. Main text: Pages 1-32, Figures 1-15, Tables 1-6. All figures and tables after References belong to the Appendix (Pages 32-58, Figures 16-20, Table 7). For supplementary materials, please refer to the Zenodo repository https://doi.org/10.5281/zenodo.8267466
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- 2023
34. An explainable three dimension framework to uncover learning patterns: A unified look in variable sulci recognition
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Mamalakis, Michail, de Vareilles, Heloise, AI-Manea, Atheer, Mitchell, Samantha C., Arartz, Ingrid, Morch-Johnsen, Lynn Egeland, Garrison, Jane, Simons, Jon, Lio, Pietro, Suckling, John, and Murray, Graham
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
The significant features identified in a representative subset of the dataset during the learning process of an artificial intelligence model are referred to as a 'global' explanation. 3D global explanations are crucial in neuroimaging, where a complex representational space demands more than basic 2D interpretations. However, current studies in the literature often lack the accuracy, comprehensibility, and 3D global explanations needed in neuroimaging and beyond. To address this gap, we developed an explainable artificial intelligence (XAI) 3D-Framework capable of providing accurate, low-complexity global explanations. We evaluated the framework using various 3D deep learning models trained on a well-annotated cohort of 596 structural MRIs. The binary classification task focused on detecting the presence or absence of the paracingulate sulcus, a highly variable brain structure associated with psychosis. Our framework integrates statistical features (Shape) and XAI methods (GradCam and SHAP) with dimensionality reduction, ensuring that explanations reflect both model learning and cohort-specific variability. By combining Shape, GradCam, and SHAP, our framework reduces inter-method variability, enhancing the faithfulness and reliability of global explanations. These robust explanations facilitated the identification of critical sub-regions, including the posterior temporal and internal parietal regions, as well as the cingulate region and thalamus, suggesting potential genetic or developmental influences. Our XAI 3D-Framework leverages global explanations to uncover the broader developmental context of specific cortical features. This approach advances the fields of deep learning and neuroscience by offering insights into normative brain development and atypical trajectories linked to mental illness, paving the way for more reliable and interpretable AI applications in neuroimaging.
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- 2023
35. Matching Patterns with Variables Under Simon's Congruence
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Fleischmann, Pamela, Kim, Sungmin, Koß, Tore, Manea, Florin, Nowotka, Dirk, Siemer, Stefan, and Wiedenhöft, Max
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Computer Science - Formal Languages and Automata Theory ,Computer Science - Data Structures and Algorithms ,F.4.3 ,E.1 - Abstract
We introduce and investigate a series of matching problems for patterns with variables under Simon's congruence. Our results provide a thorough picture of these problems' computational complexity.
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- 2023
36. Neural timescales reflect behavioral demands in freely moving rhesus macaques
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Manea, Ana M. G., Maisson, David J.-N., Voloh, Benjamin, Zilverstand, Anna, Hayden, Benjamin, and Zimmermann, Jan
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- 2024
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- View/download PDF
37. Measurement of beauty production via non-prompt charm hadrons in p–Pb collisions at sNN = 5.02 TeV
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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Alvarez, C. O. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Averyanov, D., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barbasova, V., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhattacharjee, B., Bianchi, L., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buchakchiev, V. D., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Buhler, P., Burmasov, N., Buthelezi, Z., Bylinkin, A., Bysiak, S. A., Cabanillas Noris, J. C., Cabrera, M. F. T., Cai, M., Caines, H., Caliva, A., Calvo Villar, E., Camacho, J. M. M., Camerini, P., Canedo, F. D. M., Cantway, S. L., Carabas, M., Carballo, A. A., Carnesecchi, F., Caron, R., Carvalho, L. A. D., Castillo Castellanos, J., Castoldi, M., Catalano, F., Cattaruzzi, S., Ceballos Sanchez, C., Cerri, R., Chakaberia, I., Chakraborty, P., Chandra, S., Chapeland, S., Chartier, M., Chattopadhay, S., Chattopadhyay, S., Chattopadhyay, S., Chen, M., Cheng, T., Cheshkov, C., Chibante Barroso, V., Chinellato, D. D., Chizzali, E. S., Cho, J., Cho, S., Chochula, P., Chochulska, Z. A., Choudhury, D., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Ciacco, M., Cicalo, C., Ciupek, M. R., Clai, G., Colamaria, F., Colburn, J. S., Colella, D., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Coquet, M. L., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Cot, C., Crochet, P., Cruz-Torres, R., Cui, P., Czarnynoga, M. M., Dainese, A., Dange, G., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Dello Stritto, L., Deng, W., Devereaux, K. C., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dupieux, P., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Follo, U., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., Garcia, J. M., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gaur, H. M., Gautam, A., Gay Ducati, M. B., Germain, M., Gernhaeuser, R. A., Ghosh, C., Giacalone, M., Gioachin, G., Giri, S. K., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gumprecht, J. J. W. K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Haque, M. R., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Hernandez, S. G., Herrera Corral, G., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hobus, I. P. M., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. C., Ilkaev, R., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Iurchenko, S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Ji, S., Jia, S., Jiang, T., Jimenez, A. A. P., Jonas, F., Jones, D. M., Jowett, J. M., Jung, J., Jung, M., Junique, A., Jusko, A., Kaewjai, J., Kalinak, P., Kalweit, A., Karasu Uysal, A., Karatovic, D., Karatzenis, N., Karavichev, O., Karavicheva, T., Karpechev, E., Karwowska, M. J., Kebschull, U., Keidel, R., Keil, M., Ketzer, B., Khade, S. S., Khan, A. M., Khan, S., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Khuranova, Z., Kileng, B., Kim, B., Kim, C., Kim, D. J., Kim, E. J., Kim, J., Kim, J., Kim, J., Kim, M., Kim, S., Kim, T., Kimura, K., Kirkova, A., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Kitowski, J. 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38. Measurement of beauty-quark production in pp collisions at s = 13 TeV via non-prompt D mesons
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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhat, M. A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Buhler, P., Burmasov, N., Buthelezi, Z., Bylinkin, A., Bysiak, S. A., Cabanillas Noris, J. C., Cabrera, M. F. T., Cai, M., Caines, H., Caliva, A., Calvo Villar, E., Camacho, J. M. M., Camerini, P., Canedo, F. D. M., Cantway, S. L., Carabas, M., Carballo, A. A., Carnesecchi, F., Caron, R., Carvalho, L. A. D., Castillo Castellanos, J., Castoldi, M., Catalano, F., Cattaruzzi, S., Ceballos Sanchez, C., Cerri, R., Chakaberia, I., Chakraborty, P., Chandra, S., Chapeland, S., Chartier, M., Chattopadhay, S., Chattopadhyay, S., Chattopadhyay, S., Cheng, T., Cheshkov, C., Chibante Barroso, V., Chinellato, D. D., Chizzali, E. S., Cho, J., Cho, S., Chochula, P., Choudhury, D., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Ciacco, M., Cicalo, C., Ciupek, M. R., Clai, G., Colamaria, F., Colburn, J. S., Colella, D., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Coquet, M. L., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Cot, C., Crkovská, J., Crochet, P., Cruz-Torres, R., Cui, P., Dainese, A., Dange, G., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Dello Stritto, L., Deng, W., Devereaux, K. C., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Dixit, D. U., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dudi, S., Dupieux, P., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Follo, U., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gaur, H. M., Gautam, A., Gay Ducati, M. B., Germain, M., Ghimouz, A., Ghosh, C., Giacalone, M., Gioachin, G., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Haque, M. R., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Hernandez, S. G., Herrera Corral, G., Herrmann, F., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. C., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Ji, S., Jia, S., Jiang, T., Jimenez, A. A. P., Jonas, F., Jones, D. M., Jowett, J. M., Jung, J., Jung, M., Junique, A., Jusko, A., Kaewjai, J., Kalinak, P., Kalweit, A., Karasu Uysal, A., Karatovic, D., Karavichev, O., Karavicheva, T., Karpechev, E., Karwowska, M. J., Kebschull, U., Keidel, R., Keijdener, D. L. D., Keil, M., Ketzer, B., Khade, S. S., Khan, A. M., Khan, S., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Khuranova, Z., Kileng, B., Kim, B., Kim, C., Kim, D. J., Kim, E. J., Kim, J., Kim, J., Kim, J., Kim, M., Kim, S., Kim, T., Kimura, K., Kirkova, A., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Kitowski, J. P., Klay, J. L., Klein, J., Klein, S., Klein-Bösing, C., Kleiner, M., Klemenz, T., Kluge, A., Kobdaj, C., Kohara, R., Kollegger, T., Kondratyev, A., Kondratyeva, N., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Korwieser, M., Koryciak, S. D., Kotliarov, A., Kovacic, N., Kovalenko, V., Kowalski, M., Kozhuharov, V., Králik, I., Kravčáková, A., Krcal, L., Krivda, M., Krizek, F., Krizkova Gajdosova, K., Krug, C., Krüger, M., Krupova, D. M., Kryshen, E., Kučera, V., Kuhn, C., Kuijer, P. G., Kumaoka, T., Kumar, D., Kumar, L., Kumar, N., Kumar, S., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kuskov, V., Kutyla, M., Kweon, M. J., Kwon, Y., La Pointe, S. L., La Rocca, P., Lakrathok, A., Lamanna, M., Landou, A. R., Langoy, R., Larionov, P., Laudi, E., Lautner, L., Laveaga, R. A. N., Lavicka, R., Lea, R., Lee, H., Legrand, I., Legras, G., Lehrbach, J., Lelek, T. M., Lemmon, R. C., León Monzón, I., Lesch, M. M., Lesser, E. D., Lévai, P., Li, X., Liang-gilman, B. E., Lien, J., Lietava, R., Likmeta, I., Lim, B., Lim, S. H., Lindenstruth, V., Lindner, A., Lippmann, C., Liu, D. H., Liu, J., Liveraro, G. S. S., Lofnes, I. M., Loizides, C., Lokos, S., Lömker, J., Loncar, P., Lopez, X., López Torres, E., Lu, P., Lugo, F. V., Luhder, J. R., Lunardon, M., Luparello, G., Ma, Y. G., Mager, M., Maire, A., Majerz, E. M., Makariev, M. V., Malaev, M., Malfattore, G., Malik, N. M., Malik, Q. W., Malik, S. K., Malinina, L., Mallick, D., Mallick, N., Mandaglio, G., Mandal, S. K., Manea, A., Manko, V., Manso, F., Manzari, V., Mao, Y., Marcjan, R. W., Margagliotti, G. V., Margotti, A., Marín, A., Markert, C., Martinengo, P., Martínez, M. I., Martínez García, G., Martins, M. P. P., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Massen, O., Mastroserio, A., Matonoha, O., Mattiazzo, S., Matyja, A., Mazuecos, A. L., Mazzaschi, F., Mazzilli, M., Mdhluli, J. E., Melikyan, Y., Menchaca-Rocha, A., Mendez, J. E. M., Meninno, E., Menon, A. S., Menzel, M. W., Meres, M., Miake, Y., Micheletti, L., Mihaylov, D. L., Mikhaylov, K., Minafra, N., Miśkowiec, D., Modak, A., Mohanty, B., Mohisin Khan, M., Molander, M. A., Monira, S., Mordasini, C., Moreira De Godoy, D. A., Morozov, I., Morsch, A., Mrnjavac, T., Muccifora, V., Muhuri, S., Mulligan, J. D., Mulliri, A., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myrcha, J. W., Naik, B., Nambrath, A. I., Nandi, B. K., Nania, R., Nappi, E., Nassirpour, A. F., Nath, A., Nattrass, C., Naydenov, M. N., Neagu, A., Negru, A., Nekrasova, E., Nellen, L., Nepeivoda, R., Nese, S., Neskovic, G., Nicassio, N., Nielsen, B. S., Nielsen, E. G., Nikolaev, S., Nikulin, S., Nikulin, V., Noferini, F., Noh, S., Nomokonov, P., Norman, J., Novitzky, N., Nowakowski, P., Nyanin, A., Nystrand, J., Oh, S., Ohlson, A., Okorokov, V. A., Oleniacz, J., Onnerstad, A., Oppedisano, C., Ortiz Velasquez, A., Otwinowski, J., Oya, M., Oyama, K., Pachmayer, Y., Padhan, S., Pagano, D., Paić, G., Paisano-Guzmán, S., Palasciano, A., Panebianco, S., Park, H., Park, H., Parkkila, J. E., Patley, Y., Paul, B., Paulino, M. M. D. M., Pei, H., Peitzmann, T., Peng, X., Pennisi, M., Perciballi, S., Peresunko, D., Perez, G. M., Pestov, Y., Petrov, V., Petrovici, M., Pezzi, R. P., Piano, S., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pinto, C., Pisano, S., Płoskoń, M., Planinic, M., Pliquett, F., Poghosyan, M. G., Polichtchouk, B., Politano, S., Poljak, N., Pop, A., Porteboeuf-Houssais, S., Pozdniakov, V., Pozos, I. Y., Pradhan, K. K., Prasad, S. K., Prasad, S., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puccio, M., Pucillo, S., Qiu, S., Quaglia, L., Ragoni, S., Rai, A., Rakotozafindrabe, A., Ramello, L., Rami, F., Rasa, M., Räsänen, S. S., Rath, R., Rauch, M. P., Ravasenga, I., Read, K. F., Reckziegel, C., Redelbach, A. R., Redlich, K., Reetz, C. A., Regules-Medel, H. D., Rehman, A., Reidt, F., Reme-Ness, H. A., Rescakova, Z., Reygers, K., Riabov, A., Riabov, V., Ricci, R., Richter, M., Riedel, A. A., Riegler, W., Riffero, A. G., Ripoli, C., Ristea, C., Rodriguez, M. V., Rodríguez Cahuantzi, M., Rodríguez Ramírez, S. A., Røed, K., Rogalev, R., Rogochaya, E., Rogoschinski, T. S., Rohr, D., Röhrich, D., Rojas Torres, S., Rokita, P. S., Romanenko, G., Ronchetti, F., Rosas, E. D., Roslon, K., Rossi, A., Roy, A., Roy, S., Rubini, N., Ruggiano, D., Rui, R., Russek, P. G., Russo, R., Rustamov, A., Ryabinkin, E., Ryabov, Y., Rybicki, A., Ryu, J., Rzesa, W., Saarimaki, O. A. M., Sadhu, S., Sadovsky, S., Saetre, J., Šafařík, K., Saha, S. K., Saha, S., Sahoo, B., Sahoo, R., Sahoo, S., Sahu, D., Sahu, P. K., Saini, J., Sajdakova, K., Sakai, S., Salvan, M. P., Sambyal, S., Samitz, D., Sanna, I., Saramela, T. B., Sarkar, D., Sarma, P., Sarritzu, V., Sarti, V. M., Sas, M. H. P., Sawan, S., Scapparone, E., Schambach, J., Scheid, H. S., Schiaua, C., Schicker, R., Schlepper, F., Schmah, A., Schmidt, C., Schmidt, H. R., Schmidt, M. O., Schmidt, M., Schmidt, N. V., Schmier, A. R., Schotter, R., Schröter, A., Schukraft, J., Schweda, K., Scioli, G., Scomparin, E., Seger, J. E., Sekiguchi, Y., Sekihata, D., Selina, M., Selyuzhenkov, I., Senyukov, S., Seo, J. J., Serebryakov, D., Serkin, L., Šerkšnytė, L., Sevcenco, A., Shaba, T. J., Shabetai, A., Shahoyan, R., Shangaraev, A., Sharma, B., Sharma, D., Sharma, H., Sharma, M., Sharma, S., Sharma, S., Sharma, U., Shatat, A., Sheibani, O., Shigaki, K., Shimomura, M., Shin, J., Shirinkin, S., Shou, Q., Sibiriak, Y., Siddhanta, S., Siemiarczuk, T., Silva, T. F., Silvermyr, D., Simantathammakul, T., Simeonov, R., Singh, B., Singh, B., Singh, K., Singh, R., Singh, R., Singh, R., Singh, S., Singh, V. K., Singhal, V., Sinha, T., Sitar, B., Sitta, M., Skaali, T. B., Skorodumovs, G., Smirnov, N., Snellings, R. J. M., Solheim, E. H., Song, J., Sonnabend, C., Sonneveld, J. M., Soramel, F., Soto-hernandez, A. B., Spijkers, R., Sputowska, I., Staa, J., Stachel, J., Stan, I., Steffanic, P. J., Stiefelmaier, S. F., Stocco, D., Storehaug, I., Strangmann, N. J., Stratmann, P., Strazzi, S., Sturniolo, A., Stylianidis, C. P., Suaide, A. A. P., Suire, C., Sukhanov, M., Suljic, M., Sultanov, R., Sumberia, V., Sumowidagdo, S., Szarka, I., Szymkowski, M., Taghavi, S. F., Taillepied, G., Takahashi, J., Tambave, G. J., Tang, S., Tang, Z., Tapia Takaki, J. D., Tapus, N., Tarasovicova, L. A., Tarzila, M. G., Tassielli, G. F., Tauro, A., Tavira García, A., Tejeda Muñoz, G., Telesca, A., Terlizzi, L., Terrevoli, C., Thakur, S., Thomas, D., Tikhonov, A., Tiltmann, N., Timmins, A. R., Tkacik, M., Tkacik, T., Toia, A., Tokumoto, R., Tomassini, S., Tomohiro, K., Topilskaya, N., Toppi, M., Tork, T., Torres, V. V., Torres Ramos, A. G., Trifiró, A., Triolo, A. S., Tripathy, S., Tripathy, T., Trubnikov, V., Trzaska, W. H., Trzcinski, T. P., Tumkin, A., Turrisi, R., Tveter, T. S., Ullaland, K., Ulukutlu, B., Uras, A., Urioni, M., Usai, G. L., Vala, M., Valle, N., van Doremalen, L. V. R., van Leeuwen, M., van Veen, C. A., van Weelden, R. J. G., Vande Vyvre, P., Varga, D., Varga, Z., Vargas Torres, P., Vasileiou, M., Vasiliev, A., Vázquez Doce, O., Vazquez Rueda, O., Vechernin, V., Vercellin, E., Vergara Limón, S., Verma, R., Vermunt, L., Vértesi, R., Verweij, M., Vickovic, L., Vilakazi, Z., Villalobos Baillie, O., Villani, A., Vinogradov, A., Virgili, T., Virta, M. M. O., Vislavicius, V., Vodopyanov, A., Volkel, B., Völkl, M. A., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I., Vozniuk, N., Vrláková, J., Wan, J., Wang, C., Wang, D., Wang, Y., Wang, Y., Wegrzynek, A., Weiglhofer, F. T., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wikne, J., Wilk, G., Wilkinson, J., Willems, G. A., Windelband, B., Winn, M., Wright, J. R., Wu, W., Wu, Y., Xiong, Z., Xu, R., Yadav, A., Yadav, A. K., Yalcin, S., Yamaguchi, Y., Yang, S., Yano, S., Yeats, E. R., Yin, Z., Yoo, I.-K., Yoon, J. H., Yu, H., Yuan, S., Yuncu, A., Zaccolo, V., Zampolli, C., Zang, M., Zanone, F., Zardoshti, N., Zarochentsev, A., Závada, P., Zaviyalov, N., Zhalov, M., Zhang, B., Zhang, C., Zhang, L., Zhang, M., Zhang, S., Zhang, X., Zhang, Y., Zhang, Z., Zhao, M., Zherebchevskii, V., Zhi, Y., Zhong, C., Zhou, D., Zhou, Y., Zhu, J., Zhu, Y., Zugravel, S. C., and Zurlo, N.
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- 2024
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39. Sem\'enov Arithmetic, Affine VASS, and String Constraints
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Draghici, Andrei, Haase, Christoph, and Manea, Florin
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Computer Science - Logic in Computer Science ,Computer Science - Formal Languages and Automata Theory - Abstract
We study extensions of Sem\"enov arithmetic, the first-order theory of the structure $(\mathbb{N}, +, 2^x)$. It is well-knonw that this theory becomes undecidable when extended with regular predicates over tuples of number strings, such as the B\"uchi $V_2$-predicate. We therefore restrict ourselves to the existential theory of Sem\"enov arithmetic and show that this theory is decidable in EXPSPACE when extended with arbitrary regular predicates over tuples of number strings. Our approach relies on a reduction to the language emptiness problem for a restricted class of affine vector addition systems with states, which we show decidable in EXPSPACE. As an application of our results, we settle an open problem from the literature and show decidability of a class of string constraints involving length constraints., Comment: 19 pages, one figure
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- 2023
40. Isomeric excitation energy for $^{99}$In$^{m}$ from mass spectrometry reveals constant trend next to doubly magic $^{100}$Sn
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Nies, L., Atanasov, D., Athanasakis-Kaklamanakis, M., Au, M., Blaum, K., Dobaczewski, J., Hu, B. S., Holt, J. D., Karthein, J., Kulikov, I., Litvinov, Yu. A., Lunney, D., Manea, V., Miyagi, T., Mougeot, M., Schweikhard, L., Schwenk, A., Sieja, K., and Wienholtz, F.
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Nuclear Experiment ,Nuclear Theory - Abstract
The excitation energy of the 1/2$^-$ isomer in $^{99}$In at ${N=50}$ is measured to be 671(37) keV and the mass uncertainty of the 9/2$^+$ ground state is significantly reduced using the ISOLTRAP mass spectrometer at ISOLDE/CERN. The measurements exploit a major improvement in the resolution of the multi-reflection time-of-flight mass spectrometer. The results reveal an intriguing constancy of the $1/2^-$ isomer excitation energies in neutron-deficient indium that persists down to the $N = 50$ shell closure, even when all neutrons are removed from the valence shell. This trend is used to test large-scale shell model, \textit{ab initio}, and density functional theory calculations. The models have difficulties describing both the isomer excitation energies and ground-state electromagnetic moments along the indium chain., Comment: 13 pages, 4 figures
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- 2023
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41. Analog Feedback-Controlled Memristor programming Circuit for analog Content Addressable Memory
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Yu, Jiaao, Manea, Paul-Philipp, Ameli, Sara, Hizzani, Mohammad, Eldebiky, Amro, and Strachan, John Paul
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Computer Science - Emerging Technologies ,Computer Science - Artificial Intelligence - Abstract
Recent breakthroughs in associative memories suggest that silicon memories are coming closer to human memories, especially for memristive Content Addressable Memories (CAMs) which are capable to read and write in analog values. However, the Program-Verify algorithm, the state-of-the-art memristor programming algorithm, requires frequent switching between verifying and programming memristor conductance, which brings many defects such as high dynamic power and long programming time. Here, we propose an analog feedback-controlled memristor programming circuit that makes use of a novel look-up table-based (LUT-based) programming algorithm. With the proposed algorithm, the programming and the verification of a memristor can be performed in a single-direction sequential process. Besides, we also integrated a single proposed programming circuit with eight analog CAM (aCAM) cells to build an aCAM array. We present SPICE simulations on TSMC 28nm process. The theoretical analysis shows that 1. A memristor conductance within an aCAM cell can be converted to an output boundary voltage in aCAM searching operations and 2. An output boundary voltage in aCAM searching operations can be converted to a programming data line voltage in aCAM programming operations. The simulation results of the proposed programming circuit prove the theoretical analysis and thus verify the feasibility to program memristors without frequently switching between verifying and programming the conductance. Besides, the simulation results of the proposed aCAM array show that the proposed programming circuit can be integrated into a large array architecture.
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- 2023
42. Longest Common Subsequence with Gap Constraints
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Adamson, Duncan, Kosche, Maria, Koß, Tore, Manea, Florin, and Siemer, Stefan
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Computer Science - Data Structures and Algorithms ,Computer Science - Formal Languages and Automata Theory - Abstract
We consider the longest common subsequence problem in the context of subsequences with gap constraints. In particular, following Day et al. 2022, we consider the setting when the distance (i. e., the gap) between two consecutive symbols of the subsequence has to be between a lower and an upper bound (which may depend on the position of those symbols in the subsequence or on the symbols bordering the gap) as well as the case where the entire subsequence is found in a bounded range (defined by a single upper bound), considered by Kosche et al. 2022. In all these cases, we present effcient algorithms for determining the length of the longest common constrained subsequence between two given strings.
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- 2023
43. First and second cohomology group of a bu ndle
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Manea Adelina
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cohomology ,jet manifolds ,Mathematics ,QA1-939 - Abstract
Let (E, π, M) be a vector bundle. We define two cohomology groups associated to π using the first and second order jet manifolds of this bundle. We prove that one of them is isomorphic with a Čech cohomology group of the base space. The particular case of trivial bundle is studied
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- 2012
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44. Concentration limit for non-local dissipative convection-diffusion kernels on the hyperbolic space
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González, María del Mar, Ignat, Liviu I., Manea, Dragoş, and Moroianu, Sergiu
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Mathematics - Analysis of PDEs ,45K05, 45M05, 58J35 - Abstract
We study a non-local evolution equation on the hyperbolic space $\mathbb{H}^N$. We first consider a model for particle transport governed by a non-local interaction kernel defined on the tangent bundle and invariant under the geodesic flow. We study the relaxation limit of this model to a local transport problem, as the kernel gets concentrated near the origin of each tangent space. Under some regularity and integrability conditions on the kernel, we prove that the solution of the rescaled non-local problem converges to that of the local transport equation. Then, we construct a large class of interaction kernels that satisfy those conditions. We also consider a non-local, non-linear convection-diffusion equation on $\mathbb{H}^N$ governed by two kernels, one for each of the diffusion and convection parts, and we prove that the solution converges to the solution of a local problem as the kernels get concentrated. We prove and then use in this sense a compactness tool on manifolds inspired by the work of Bourgain-Brezis-Mironescu.
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- 2023
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45. Finite element software for calculating fluid flow and heat transport for seamounts
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Manea, V.C., Sewell, E.G., Manea, M., Yoshioka, S., Suenaga, N., and Moreno, E.J.
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- 2024
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46. High-resolution laser system for the S3-Low Energy Branch
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Romans, Jekabs, Ajayakumar, Anjali, Authier, Martial, Boumard, Frederic, Caceres, Lucia, Cam, Jean-Francois, Claessens, Arno, Damoy, Samuel, Delahaye, Pierre, Desrues, Philippe, Dong, Wenling, Drouart, Antoine, Duchesne, Patricia, Ferrer, Rafael, Flechard, Xavier, Franchoo, Serge, Gangnant, Patrice, Geldhof, Sarina, de Groote, Ruben P., Lecesne, Nathalie, Leroy, Renan, Lory, Julien, Lutton, Franck, Manea, Vladimir, Merrer, Yvan, Moore, Iain, Ortiz-Cortes, Alejandro, Osmond, Benoit, Piot, Julien, Pochon, Olivier, Raeder, Sebastian, de Roubin, Antoine, Savajols, Herve, Sels, Simon, Studer, Dominik, Traykov, Emil, Uusitalo, Juha, Vandamme, Christophe, Vandebrouck, Marine, Bergh, Paul Van den, Van Duppen, Piet, and Wendt, Klaus
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Nuclear Experiment ,Physics - Atomic Physics - Abstract
In this paper we present the first high-resolution laser spectroscopy results obtained at the GISELE laser laboratory of the GANIL-SPIRAL2 facility, in preparation for the first experiments with the S$^3$-Low Energy Branch. Studies of neutron-deficient radioactive isotopes of erbium and tin represent the first physics cases to be studied at S$^3$. The measured isotope-shift and hyperfine structure data are presented for stable isotopes of these elements. The erbium isotopes were studied using the $4f^{12}6s^2$ $^3H_6 \rightarrow 4f^{12}(^3 H)6s6p$ $J = 5$ atomic transition (415 nm) and the tin isotopes were studied by the $5s^25p^2 (^3P_0) \rightarrow 5s^25p6s (^3P_1)$ atomic transition (286.4 nm), and are used as a benchmark of the laser setup. Additionally, the tin isotopes were studied by the $5s^25p6s (^3P_1) \rightarrow 5s^25p6p (^3P_2)$ atomic transition (811.6 nm), for which new isotope-shift data was obtained and the corresponding field-shift $F_{812}$ and mass-shift $M_{812}$ factors are presented.
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- 2022
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47. Trusted Hart for Mobile RISC-V Security
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Ushakov, Vladimir, Sovio, Sampo, Qi, Qingchao, Nayani, Vijayanand, Manea, Valentin, Ginzboorg, Philip, and Ekberg, Jan Erik
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Computer Science - Cryptography and Security ,Computer Science - Hardware Architecture - Abstract
The majority of mobile devices today are based on Arm architecture that supports the hosting of trusted applications in Trusted Execution Environment (TEE). RISC-V is a relatively new open-source instruction set architecture that was engineered to fit many uses. In one potential RISC-V usage scenario, mobile devices could be based on RISC-V hardware. We consider the implications of porting the mobile security stack on top of a RISC-V system on a chip, identify the gaps in the open-source Keystone framework for building custom TEEs, and propose a security architecture that, among other things, supports the GlobalPlatform TEE API specification for trusted applications. In addition to Keystone enclaves the architecture includes a Trusted Hart -- a normal core that runs a trusted operating system and is dedicated for security functions, like control of the device's keystore and the management of secure peripherals. The proposed security architecture for RISC-V platform is verified experimentally using the HiFive Unleashed RISC-V development board., Comment: This is an extended version of a paper that has been published in Proceedings of TrustCom 2022
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- 2022
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48. The Hardy inequality and large time behaviour of the heat equation on $\mathbb{R}^{N-k}\times (0,\infty)^k$
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Cazacu, Cristian, Ignat, Liviu I., and Manea, Dragoş
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Mathematics - Analysis of PDEs ,35A23, 35B40, 35K67, 46E35 - Abstract
In this paper we study the large time asymptotic behaviour of the heat equation with Hardy inverse-square potential on corner spaces $\mathbb{R}^{N-k}\times (0,\infty)^k$, $k\geq 0$. We first show a new improved Hardy-Poincar\'{e} inequality for the quantum harmonic oscillator with Hardy potential. In view of that, we construct the appropriate functional setting in order to pose the Cauchy problem. Then we obtain optimal polynomial large time decay rates and subsequently the first term in the asymptotic expansion of the solutions in $L^2(\mathbb{R}^{N-k}\times (0,\infty)^k)$. Particularly, we extend and improve the results obtained by V\'{a}zquez and Zuazua (J. Funct. Anal. 2000), which correspond to the case $k=0$, to any $k\geq 0$. We emphasize that the higher the value of $k$ the better time decay rates are. We employ a different and simplified approach than V\'{a}zquez and Zuazua, managing to remove the usage of spherical harmonics decomposition in our analysis.
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- 2022
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49. Investigating strangeness enhancement with multiplicity in pp collisions using angular correlations
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Acharya, S., Adamová, D., Agarwal, A., Aglieri Rinella, G., Aglietta, L., Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Ahuja, I., Akindinov, A., Akishina, V., Al-Turany, M., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Alici, A., Alizadehvandchali, N., Alkin, A., Alme, J., Alocco, G., Alt, T., Altamura, A. R., Altsybeev, I., Alvarado, J. R., Alvarez, C. O. R., Anaam, M. N., Andrei, C., Andreou, N., Andronic, A., Andronov, E., Anguelov, V., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshäuser, H., Arata, C., Arcelli, S., Aresti, M., Arnaldi, R., Arneiro, J. G. M. C. A., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Azmi, M. D., Baba, H., Badalà, A., Bae, J., Baek, Y. W., Bai, X., Bailhache, R., Bailung, Y., Bala, R., Balbino, A., Baldisseri, A., Balis, B., Banerjee, D., Banoo, Z., Barbasova, V., Barile, F., Barioglio, L., Barlou, M., Barman, B., Barnaföldi, G. G., Barnby, L. S., Barreau, E., Barret, V., Barreto, L., Bartels, C., Barth, K., Bartsch, E., Bastid, N., Basu, S., Batigne, G., Battistini, D., Batyunya, B., Bauri, D., Bazo Alba, J. L., Bearden, I. G., Beattie, C., Becht, P., Behera, D., Belikov, I., Bell Hechavarria, A. D. C., Bellini, F., Bellwied, R., Belokurova, S., Beltran, L. G. E., Beltran, Y. A. V., Bencedi, G., Bensaoula, A., Beole, S., Berdnikov, Y., Berdnikova, A., Bergmann, L., Besoiu, M. G., Betev, L., Bhaduri, P. P., Bhasin, A., Bhattacharjee, B., Bianchi, L., Bianchi, N., Bielčík, J., Bielčíková, J., Bigot, A. P., Bilandzic, A., Biro, G., Biswas, S., Bize, N., Blair, J. T., Blau, D., Blidaru, M. B., Bluhme, N., Blume, C., Boca, G., Bock, F., Bodova, T., Bok, J., Boldizsár, L., Bombara, M., Bond, P. M., Bonomi, G., Borel, H., Borissov, A., Borquez Carcamo, A. G., Bossi, H., Botta, E., Bouziani, Y. E. M., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruno, G. E., Buchakchiev, V. D., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Buhler, P., Burmasov, N., Buthelezi, Z., Bylinkin, A., Bysiak, S. A., Cabanillas Noris, J. C., Cabrera, M. F. T., Cai, M., Caines, H., Caliva, A., Calvo Villar, E., Camacho, J. M. M., Camerini, P., Canedo, F. D. M., Cantway, S. L., Carabas, M., Carballo, A. A., Carnesecchi, F., Caron, R., Carvalho, L. A. D., Castillo Castellanos, J., Castoldi, M., Catalano, F., Cattaruzzi, S., Ceballos Sanchez, C., Cerri, R., Chakaberia, I., Chakraborty, P., Chandra, S., Chapeland, S., Chartier, M., Chattopadhay, S., Chattopadhyay, S., Chattopadhyay, S., Chen, M., Cheng, T., Cheshkov, C., Chibante Barroso, V., Chinellato, D. D., Chizzali, E. S., Cho, J., Cho, S., Chochula, P., Chochulska, Z. A., Choudhury, D., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Ciacco, M., Cicalo, C., Ciupek, M. R., Clai, G., Colamaria, F., Colburn, J. S., Colella, D., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Coquet, M. L., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Cot, C., Crkovská, J., Crochet, P., Cruz-Torres, R., Cui, P., Czarnynoga, M. M., Dainese, A., Dange, G., Danisch, M. C., Danu, A., Das, P., Das, P., Das, S., Dash, A. R., Dash, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Martin, C., De Pasquale, S., Deb, R., Del Grande, R., Dello Stritto, L., Deng, W., Devereaux, K. C., Dhankher, P., Di Bari, D., Di Mauro, A., Diab, B., Diaz, R. A., Dietel, T., Ding, Y., Ditzel, J., Divià, R., Djuvsland, Ø., Dmitrieva, U., Dobrin, A., Dönigus, B., Dubinski, J. M., Dubla, A., Dupieux, P., Dzalaiova, N., Eder, T. M., Ehlers, R. J., Eisenhut, F., Ejima, R., Elia, D., Erazmus, B., Ercolessi, F., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fan, W., Fantoni, A., Fasel, M., Feliciello, A., Feofilov, G., Fernández Téllez, A., Ferrandi, L., Ferrer, M. B., Ferrero, A., Ferrero, C., Ferretti, A., Feuillard, V. J. G., Filova, V., Finogeev, D., Fionda, F. M., Flatland, E., Flor, F., Flores, A. N., Foertsch, S., Fokin, I., Fokin, S., Follo, U., Fragiacomo, E., Frajna, E., Fuchs, U., Funicello, N., Furget, C., Furs, A., Fusayasu, T., Gaardhøje, J. J., Gagliardi, M., Gago, A. M., Gahlaut, T., Galvan, C. D., Gangadharan, D. R., Ganoti, P., Garabatos, C., Garcia, J. M., García Chávez, T., Garcia-Solis, E., Gargiulo, C., Gasik, P., Gaur, H. M., Gautam, A., Gay Ducati, M. B., Germain, M., Ghosh, C., Giacalone, M., Gioachin, G., Giubellino, P., Giubilato, P., Glaenzer, A. M. C., Glässel, P., Glimos, E., Goh, D. J. Q., Gonzalez, V., Gordeev, P., Gorgon, M., Goswami, K., Gotovac, S., Grabski, V., Graczykowski, L. K., Grecka, E., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Grund, D., Grunwald, N. A., Guardiano, G. G., Guernane, R., Guilbaud, M., Gulbrandsen, K., Gumprecht, J. J. W. K., Gündem, T., Gunji, T., Guo, W., Gupta, A., Gupta, R., Gupta, R., Gwizdziel, K., Gyulai, L., Hadjidakis, C., Haider, F. U., Haidlova, S., Haldar, M., Hamagaki, H., Hamdi, A., Han, Y., Hanley, B. G., Hannigan, R., Hansen, J., Haque, M. R., Harris, J. W., Harton, A., Hartung, M. V., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hellbär, E., Helstrup, H., Hemmer, M., Herman, T., Hernandez, S. G., Herrera Corral, G., Herrmann, S., Hetland, K. F., Heybeck, B., Hillemanns, H., Hippolyte, B., Hoffmann, F. W., Hofman, B., Hong, G. H., Horst, M., Horzyk, A., Hou, Y., Hristov, P., Huhn, P., Huhta, L. M., Humanic, T. J., Hutson, A., Hutter, D., Hwang, M. C., Ilkaev, R., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Isidori, T., Islam, M. S., Iurchenko, S., Ivanov, M., Ivanov, M., Ivanov, V., Iversen, K. E., Jablonski, M., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Ji, S., Jia, S., Jimenez, A. A. P., Jonas, F., Jones, D. M., Jowett, J. M., Jung, J., Jung, M., Junique, A., Jusko, A., Kaewjai, J., Kalinak, P., Kalweit, A., Karasu Uysal, A., Karatovic, D., Karatzenis, N., Karavichev, O., Karavicheva, T., Karpechev, E., Karwowska, M. J., Kebschull, U., Keidel, R., Keil, M., Ketzer, B., Khade, S. S., Khan, A. M., Khan, S., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Khuranova, Z., Kileng, B., Kim, B., Kim, C., Kim, D. J., Kim, E. J., Kim, J., Kim, J., Kim, J., Kim, M., Kim, S., Kim, T., Kimura, K., Kirkova, A., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Kitowski, J. P., Klay, J. L., Klein, J., Klein, S., Klein-Bösing, C., Kleiner, M., Klemenz, T., Kluge, A., Kobdaj, C., Kohara, R., Kollegger, T., Kondratyev, A., Kondratyeva, N., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Korwieser, M., Koryciak, S. D., Koster, C., Kotliarov, A., Kovacic, N., Kovalenko, V., Kowalski, M., Kozhuharov, V., Králik, I., Kravčáková, A., Krcal, L., Krivda, M., Krizek, F., Krizkova Gajdosova, K., Krug, C., Krüger, M., Krupova, D. M., Kryshen, E., Kučera, V., Kuhn, C., Kuijer, P. G., Kumaoka, T., Kumar, D., Kumar, L., Kumar, N., Kumar, S., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kuskov, V., Kutyla, M., Kuznetsov, A., Kweon, M. J., Kwon, Y., La Pointe, S. L., La Rocca, P., Lakrathok, A., Lamanna, M., Landou, A. R., Langoy, R., Larionov, P., Laudi, E., Lautner, L., Laveaga, R. A. N., Lavicka, R., Lea, R., Lee, H., Legrand, I., Legras, G., Lehrbach, J., Lejeune, A. M., Lelek, T. M., Lemmon, R. C., León Monzón, I., Lesch, M. M., Lesser, E. D., Lévai, P., Li, M., Li, X., Liang-gilman, B. E., Lien, J., Lietava, R., Likmeta, I., Lim, B., Lim, S. H., Lindenstruth, V., Lindner, A., Lippmann, C., Liu, D. H., Liu, J., Liveraro, G. S. S., Lofnes, I. M., Loizides, C., Lokos, S., Lömker, J., Lopez, X., López Torres, E., Lu, P., Lugo, F. V., Luhder, J. R., Lunardon, M., Luparello, G., Ma, Y. G., Mager, M., Maire, A., Majerz, E. M., Makariev, M. V., Malaev, M., Malfattore, G., Malik, N. M., Malik, Q. W., Malik, S. K., Malinina, L., Mallick, D., Mallick, N., Mandaglio, G., Mandal, S. K., Manea, A., Manko, V., Manso, F., Manzari, V., Mao, Y., Marcjan, R. W., Margagliotti, G. V., Margotti, A., Marín, A., Markert, C., Martinengo, P., Martínez, M. I., Martínez García, G., Martins, M. P. P., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Massen, O., Mastroserio, A., Matonoha, O., Mattiazzo, S., Matyja, A., Mazuecos, A. L., Mazzaschi, F., Mazzilli, M., Mdhluli, J. E., Melikyan, Y., Melo, M., Menchaca-Rocha, A., Mendez, J. E. M., Meninno, E., Menon, A. S., Menzel, M. W., Meres, M., Miake, Y., Micheletti, L., Mihaylov, D. L., Mikhaylov, K., Minafra, N., Miśkowiec, D., Modak, A., Mohanty, B., Mohisin Khan, M., Molander, M. A., Monira, S., Mordasini, C., Moreira De Godoy, D. A., Morozov, I., Morsch, A., Mrnjavac, T., Muccifora, V., Muhuri, S., Mulligan, J. D., Mulliri, A., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myrcha, J. W., Naik, B., Nambrath, A. I., Nandi, B. K., Nania, R., Nappi, E., Nassirpour, A. F., Nath, A., Nattrass, C., Naydenov, M. N., Neagu, A., Negru, A., Nekrasova, E., Nellen, L., Nepeivoda, R., Nese, S., Neskovic, G., Nicassio, N., Nielsen, B. S., Nielsen, E. G., Nikolaev, S., Nikulin, S., Nikulin, V., Noferini, F., Noh, S., Nomokonov, P., Norman, J., Novitzky, N., Nowakowski, P., Nyanin, A., Nystrand, J., Oh, S., Ohlson, A., Okorokov, V. A., Oleniacz, J., Onnerstad, A., Oppedisano, C., Ortiz Velasquez, A., Otwinowski, J., Oya, M., Oyama, K., Pachmayer, Y., Padhan, S., Pagano, D., Paić, G., Paisano-Guzmán, S., Palasciano, A., Panebianco, S., Pantouvakis, C., Park, H., Park, H., Park, J., Parkkila, J. E., Patley, Y., Paul, B., Pei, H., Peitzmann, T., Peng, X., Pennisi, M., Perciballi, S., Peresunko, D., Perez, G. M., Pestov, Y., Petersen, M. T., Petrov, V., Petrovici, M., Piano, S., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pinto, C., Pisano, S., Płoskoń, M., Planinic, M., Pliquett, F., Poghosyan, M. G., Polichtchouk, B., Politano, S., Poljak, N., Pop, A., Porteboeuf-Houssais, S., Pozdniakov, V., Pozos, I. Y., Pradhan, K. K., Prasad, S. K., Prasad, S., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puccio, M., Pucillo, S., Qiu, S., Quaglia, L., Ragoni, S., Rai, A., Rakotozafindrabe, A., Ramello, L., Rami, F., Rasa, M., Räsänen, S. S., Rath, R., Rauch, M. P., Ravasenga, I., Read, K. F., Reckziegel, C., Redelbach, A. R., Redlich, K., Reetz, C. A., Regules-Medel, H. D., Rehman, A., Reidt, F., Reme-Ness, H. A., Rescakova, Z., Reygers, K., Riabov, A., Riabov, V., Ricci, R., Richter, M., Riedel, A. A., Riegler, W., Riffero, A. G., Ripoli, C., Ristea, C., Rodriguez, M. V., Rodríguez Cahuantzi, M., Rodríguez Ramírez, S. A., Røed, K., Rogalev, R., Rogochaya, E., Rogoschinski, T. S., Rohr, D., Röhrich, D., Rojas Torres, S., Rokita, P. S., Romanenko, G., Ronchetti, F., Rosas, E. D., Roslon, K., Rossi, A., Roy, A., Roy, S., Rubini, N., Rudolph, J. A., Ruggiano, D., Rui, R., Russek, P. G., Russo, R., Rustamov, A., Ryabinkin, E., Ryabov, Y., Rybicki, A., Ryu, J., Rzesa, W., Sadhu, S., Sadovsky, S., Saetre, J., Šafařík, K., Saha, S. K., Saha, S., Sahoo, B., Sahoo, R., Sahoo, S., Sahu, D., Sahu, P. K., Saini, J., Sajdakova, K., Sakai, S., Salvan, M. P., Sambyal, S., Samitz, D., Sanna, I., Saramela, T. B., Sarkar, D., Sarma, P., Sarritzu, V., Sarti, V. M., Sas, M. H. P., Sawan, S., Scapparone, E., Schambach, J., Scheid, H. S., Schiaua, C., Schicker, R., Schlepper, F., Schmah, A., Schmidt, C., Schmidt, H. R., Schmidt, M. O., Schmidt, M., Schmidt, N. V., Schmier, A. R., Schotter, R., Schröter, A., Schukraft, J., Schweda, K., Scioli, G., Scomparin, E., Seger, J. E., Sekiguchi, Y., Sekihata, D., Selina, M., Selyuzhenkov, I., Senyukov, S., Seo, J. J., Serebryakov, D., Serkin, L., Šerkšnytė, L., Sevcenco, A., Shaba, T. J., Shabetai, A., Shahoyan, R., Shangaraev, A., Sharma, B., Sharma, D., Sharma, H., Sharma, M., Sharma, S., Sharma, S., Sharma, U., Shatat, A., Sheibani, O., Shigaki, K., Shimomura, M., Shin, J., Shirinkin, S., Shou, Q., Sibiriak, Y., Siddhanta, S., Siemiarczuk, T., Silva, T. F., Silvermyr, D., Simantathammakul, T., Simeonov, R., Singh, B., Singh, B., Singh, K., Singh, R., Singh, R., Singh, R., Singh, S., Singh, V. K., Singhal, V., Sinha, T., Sitar, B., Sitta, M., Skaali, T. B., Skorodumovs, G., Smirnov, N., Snellings, R. J. M., Solheim, E. H., Song, J., Sonnabend, C., Sonneveld, J. M., Soramel, F., Soto-hernandez, A. B., Spijkers, R., Sputowska, I., Staa, J., Stachel, J., Stan, I., Steffanic, P. J., Stiefelmaier, S. F., Stocco, D., Storehaug, I., Strangmann, N. J., Stratmann, P., Strazzi, S., Sturniolo, A., Stylianidis, C. P., Suaide, A. A. P., Suire, C., Sukhanov, M., Suljic, M., Sultanov, R., Sumberia, V., Sumowidagdo, S., Szarka, I., Szymkowski, M., Taghavi, S. F., Taillepied, G., Takahashi, J., Tambave, G. J., Tang, S., Tang, Z., Tapia Takaki, J. D., Tapus, N., Tarasovicova, L. A., Tarzila, M. G., Tassielli, G. F., Tauro, A., Tavira García, A., Tejeda Muñoz, G., Telesca, A., Terlizzi, L., Terrevoli, C., Thakur, S., Thomas, D., Tikhonov, A., Tiltmann, N., Timmins, A. R., Tkacik, M., Tkacik, T., Toia, A., Tokumoto, R., Tomassini, S., Tomohiro, K., Topilskaya, N., Toppi, M., Tork, T., Torres, V. V., Torres Ramos, A. G., Trifiró, A., Triloki, T., Triolo, A. S., Tripathy, S., Tripathy, T., Trubnikov, V., Trzaska, W. H., Trzcinski, T. P., Tsolanta, C., Tu, R., Tumkin, A., Turrisi, R., Tveter, T. S., Ullaland, K., Ulukutlu, B., Uras, A., Urioni, M., Usai, G. L., Vala, M., Valle, N., van Doremalen, L. V. R., van Leeuwen, M., van Veen, C. A., van Weelden, R. J. G., Vande Vyvre, P., Varga, D., Varga, Z., Vargas Torres, P., Vasileiou, M., Vasiliev, A., Vázquez Doce, O., Vazquez Rueda, O., Vechernin, V., Vercellin, E., Vergara Limón, S., Verma, R., Vermunt, L., Vértesi, R., Verweij, M., Vickovic, L., Vilakazi, Z., Villalobos Baillie, O., Villani, A., Vinogradov, A., Virgili, T., Virta, M. M. O., Vislavicius, V., Vodopyanov, A., Volkel, B., Völkl, M. A., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I., Vozniuk, N., Vrláková, J., Wan, J., Wang, C., Wang, D., Wang, Y., Wang, Y., Wegrzynek, A., Weiglhofer, F. T., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wikne, J., Wilk, G., Wilkinson, J., Willems, G. A., Windelband, B., Winn, M., Wright, J. R., Wu, W., Wu, Y., Xiong, Z., Xu, R., Yadav, A., Yadav, A. K., Yamaguchi, Y., Yang, S., Yano, S., Yeats, E. R., Yin, Z., Yoo, I.-K., Yoon, J. H., Yu, H., Yuan, S., Yuncu, A., Zaccolo, V., Zampolli, C., Zanone, F., Zardoshti, N., Zarochentsev, A., Závada, P., Zaviyalov, N., Zhalov, M., Zhang, B., Zhang, C., Zhang, L., Zhang, M., Zhang, M., Zhang, S., Zhang, X., Zhang, Y., Zhang, Z., Zhao, M., Zherebchevskii, V., Zhi, Y., Zhou, D., Zhou, Y., Zhu, J., Zhu, S., Zhu, Y., Zugravel, S. C., and Zurlo, N.
- Published
- 2024
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50. Hybrid active slab with outer PCM Panels – Geothermal well to reduce the heat gain of a building roof
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Ali, Mohammed F.Mohammed, Latif, Yasser Abdel, Rasheed, Rassol Hamed, Alsayah, Ahmed Mohsin, Abed, Angham Fadil, Alshukri, Mohammed J., Hussein, Karrar K.Abdul, and Al-Manea, Ahmed
- Published
- 2025
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