42,943 results on '"Alp, A."'
Search Results
202. Vibrational properties of a mononuclear dysprosium containing singlemolecule magnet
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Tummeley, Marco A. M., Hoock, Maren H., Gröpl, Konstantin, Pfleger, Rouven, Hochdörffer, Tim, Hunsicker, Tim, Wolny, Juliusz A., Zhao, Jiyong, Lavina, Barbara, Hu, Michael Y., Toellner, Thomas, Alp, Ercan E., Kämmerer, Hagen, Anson, Christopher E., Powell, Annie K., and Schünemann, Volker
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- 2024
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203. Altered sleep behavior strengthens face validity in the ArcAβ mouse model for Alzheimer’s disease
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Altunkaya, Alp, Deichsel, Cassandra, Kreuzer, Matthias, Nguyen, Duy-Minh, Wintergerst, Ann-Marie, Rammes, Gerhard, Schneider, Gerhard, and Fenzl, Thomas
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- 2024
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204. Awareness and level of digital literacy among students receiving health-based education
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Aydınlar, Alp, Mavi, Arda, Kütükçü, Ece, Kırımlı, Elçim Elgün, Alış, Deniz, Akın, Ata, and Altıntaş, Levent
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- 2024
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205. Reactive high-spin iron(IV)-oxo sites through dioxygen activation in a metal–organic framework
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Hou, Kaipeng, Börgel, Jonas, Jiang, Henry ZH, SantaLucia, Daniel J, Kwon, Hyunchul, Zhuang, Hao, Chakarawet, Khetpakorn, Rohde, Rachel C, Taylor, Jordan W, Dun, Chaochao, Paley, Maria V, Turkiewicz, Ari B, Park, Jesse G, Mao, Haiyan, Zhu, Ziting, Alp, E Ercan, Zhao, Jiyong, Hu, Michael Y, Lavina, Barbara, Peredkov, Sergey, Lv, Xudong, Oktawiec, Julia, Meihaus, Katie R, Pantazis, Dimitrios A, Vandone, Marco, Colombo, Valentina, Bill, Eckhard, Urban, Jeffrey J, Britt, R David, Grandjean, Fernande, Long, Gary J, DeBeer, Serena, Neese, Frank, Reimer, Jeffrey A, and Long, Jeffrey R
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Inorganic Chemistry ,Chemical Sciences ,General Science & Technology - Abstract
In nature, nonheme iron enzymes use dioxygen to generate high-spin iron(IV)=O species for a variety of oxygenation reactions. Although synthetic chemists have long sought to mimic this reactivity, the enzyme-like activation of O2 to form high-spin iron(IV) = O species remains an unrealized goal. Here, we report a metal-organic framework featuring iron(II) sites with a local structure similar to that in α-ketoglutarate-dependent dioxygenases. The framework reacts with O2 at low temperatures to form high-spin iron(IV) = O species that are characterized using in situ diffuse reflectance infrared Fourier transform, in situ and variable-field Mössbauer, Fe Kβ x-ray emission, and nuclear resonance vibrational spectroscopies. In the presence of O2, the framework is competent for catalytic oxygenation of cyclohexane and the stoichiometric conversion of ethane to ethanol.
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- 2023
206. High-throughput identification of spin-photon interfaces in silicon
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Xiong, Yihuang, Bourgois, Céline, Sheremetyeva, Natalya, Chen, Wei, Dahliah, Diana, Song, Hanbin, Zheng, Jiongzhi, Griffin, Sinéad M, Sipahigil, Alp, and Hautier, Geoffroy
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Quantum Physics ,Physical Sciences - Abstract
Color centers in host semiconductors are prime candidates as spin-photon interfaces for quantum applications. Finding an optimal spin-photon interface in silicon would move quantum information technologies toward a mature semiconducting host. However, the space of possible charged defects is vast, making the identification of candidates from experiments alone extremely challenging. Here, we use high-throughput first-principles computational screening to identify spin-photon interfaces among more than 1000 charged defects in silicon. The use of a single-shot hybrid functional approach is critical in enabling the screening of many quantum defects with a reasonable accuracy. We identify three promising spin-photon interfaces as potential bright emitters in the telecom band: [Formula: see text], [Formula: see text], and [Formula: see text]. These candidates are excited through defect-bound excitons, stressing the importance of such defects in silicon for telecom band operations. Our work paves the way to further large-scale computational screening for quantum defects in semiconductors.
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- 2023
207. Investigation of Mathematics Achievements of Eighth Grade Students on Transformation Geometry and Van Hiele Geometric Thinking Levels
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Akil, Yesim Buyruk, Ilhan, Onur Alp, and Sevgi, Sevim
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The study aimed to investigate the mathematics achievement of eighth grade students on geometric transformation and geometric thinking levels. This research was carried out in the fall semester of 2018-2019. The sample was 88 students from two different middle schools in an urban area of Erzincan, Turkey. The survey model was used. The geometric transformation achievement test with 20 questions and the first 15 questions of the van Hiele geometric thinking test, which are suitable for the middle school student level, were administered to students at different times. SPSS was used to conduct analysis for descriptive statistics, standard deviation, percentage, mean and frequency, independent samples t test, and Pearson correlation. Pearson correlation was conducted to determine the relationship between the total scores that the students got from the van Hiele geometric thinking test and geometric transformation achievement test. While there was a significant relationship between the van Hiele geometry test and transformation geometry test, the geometric thinking levels of the students were below the expected level. There was no statistically significant mean difference between the boy and girl students across the schools.
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- 2022
208. Strong enhancement of magnetic ordering temperature and structural/valence transitions in EuPd3S4 under high pressure
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Huyan, S., Ryan, D. H., Slade, T. J., Lavina, B., Jose, G. C., Wang, H., Wilde, J. M., Ribeiro, R. A., Zhao, J., Xie, W., Bi, W., Alp, E. E., Bud'ko, S. L., and Canfield, P. C.
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Condensed Matter - Strongly Correlated Electrons - Abstract
We present a comprehensive study of the mixed valent compound, EuPd3S4, by electrical transport, X-ray diffraction, time-domain 151Eu synchrotron M\"ossbauer spectroscopy, and X-ray absorption spectroscopy measurements under high pressure. The electrical transport measurements show that the antiferromagnetic ordering temperature, TN, increases rapidly from 2.8 K at ambient pressure to 23.5 K at ~19 GPa and plateaus between ~19 and ~29 GPa after which no anomaly associated with TN is detected. A pressure-induced first order structural transition from cubic to tetragonal is observed, with a rather broad coexistence region (~20 GPa to ~32 GPa) that corresponds to the TN plateau. M\"ossbauer spectroscopy measurements show a clear valence transition from approximately 50:50 Eu2+:Eu3+ to fully Eu3+ at ~28 GPa, consistent with the vanishing of the magnetic order at the same pressure. X-ray absorption data show a transition to a fully trivalent state at a similar pressure. Our results show that pressure first greatly enhances TN, most likely via enhanced hybridization between the Eu 4f states and the conduction band, and then, second, causes a structural phase transition that coincides with the conversion of the europium to a fully trivalent state., Comment: 28 pages, 6 figures in main manuscript, 10 figures in SI
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- 2023
209. Topo-Geometrically Distinct Path Computation using Neighborhood-augmented Graph, and its Application to Path Planning for a Tethered Robot in 3D
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Sahin, Alp and Bhattacharya, Subhrajit
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Computer Science - Robotics ,Computer Science - Discrete Mathematics - Abstract
Many robotics applications benefit from being able to compute multiple locally optimal paths in a given configuration space. Examples include path planning for of tethered robots with cable-length constraints, systems involving cables, multi-robot topological exploration & coverage, and, congestion reduction for mobile robots navigation without inter-robot coordination. Existing paradigm is to use topological path planning methods that can provide optimal paths from distinct topological classes available in the underlying configuration space. However, these methods usually require non-trivial and non-universal geometrical constructions, which are prohibitively complex or expensive in 3 or higher dimensional configuration spaces with complex topology. Furthermore, topological methods are unable to distinguish between locally optimal paths that belong to the same topological class but are distinct because of genus-zero obstacles in 3D or due to high-cost or high-curvature regions. In this paper we propose an universal and generalized approach to multiple, locally-optimal path planning using the concept of a novel neighborhood-augmented graph, search-based planning in which can compute paths that are topo-geometrically distinct. This approach can find desired number of locally optimal paths in a wider variety of configuration spaces without requiring any complex pre-processing or geometric constructions. Unlike the existing topological methods, resulting optimal paths are not restricted to distinct topological classes, thus making the algorithm applicable to many other problems where locally optimal and geometrically distinct paths are of interest. We demonstrate the use of our algorithm to planning for shortest traversible paths for a tethered robot in 3D with cable-length constraint, and validate the results in simulations and real robot experimentation., Comment: 29 pages, 20 figures
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- 2023
210. Crystal Structure and Phonon Density of States of FeSi up to 120 GPa
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Kumar, Ravhi S, Liu, Han, Li, Quan, Xiao, Yuming, Chow, Paul, Meng, Yue, Hu, Michael Y., Alp, Ercan, Hemley, Russell, Chen, Changfeng, Cornelius, Andrew L, and Fisk, Zachary
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Condensed Matter - Materials Science ,Condensed Matter - Strongly Correlated Electrons - Abstract
The strongly correlated material FeSi exhibits several unusual thermal, magnetic, and structural properties under varying pressure-temperature (P-T) conditions. It is a potential thermoelectric alloy and a materials of several geological implications as a possible constituent at the Earth's core mantle boundary (CMB). The phase transition behavior and lattice dynamics of FeSi under different P-T conditions remain elusive. A previous theoretical work predicted a pressure induced B20-B2 transition at ambient temperature, yet the transition is only observed at high P-T conditions in the experiments. Furthermore, the closing of the electronic gap due to a dramatic renormalization of the electronic structure and phonon anomalies has been reported based on density function calculations. In this study we have performed high pressure powder diffraction and Nuclear Resonant Inelastic X-ray Scattering (NRIXS) measurements up to 120 GPa to understand the phase stability and the lattice dynamics. Our study shows evidence for a nonhydrostatic stress induced B20-B2 transition in FeSi around 36 GPa for the first time. The Fe partial phonon density of states (PDOS) and thermal parameters were derived from NRIXS up to 120 GPa with the density function theoretical (DFT) calculations. These calculations further predict and are consistent with pressure-induced metallization and band gap closing around 12 GPa., Comment: 8 pages, 6 figures and supplementary information
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- 2023
211. Consensus Complementarity Control for Multi-Contact MPC
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Aydinoglu, Alp, Wei, Adam, Huang, Wei-Cheng, and Posa, Michael
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Computer Science - Robotics - Abstract
We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the environment, such as locomotion and manipulation, require a priori mode schedules or are too computationally complex to run at real-time rates. We present a method based on the alternating direction method of multipliers (ADMM) that is capable of high-speed reasoning over potential contact events. Via a consensus formulation, our approach enables parallelization of the contact scheduling problem. We validate our results on five numerical examples, including four high-dimensional frictional contact problems, and a physical experimentation on an underactuated multi-contact system. We further demonstrate the effectiveness of our method on a physical experiment accomplishing a high-dimensional, multi-contact manipulation task with a robot arm., Comment: T-RO submission. Continuation of the work: arXiv:2109.07076v2
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- 2023
212. Farklı Potasyum Uygulama Dozlarının Buğday (Triticum spp.) Verim ve Kalite Unsurları Üzerine Etkileri
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Suat DAŞKIN and Aydın ALP
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NDVI ,buğday ,potasyum ,çeşit ,verim ,Agriculture (General) ,S1-972 - Abstract
Bu araştırma, farklı potasyum dozlarının buğdayın (Triticum spp.) verim ve kalite unsurları üzerindeki etkilerini değerlendirmek amacıyla Dicle Üniversitesi Ziraat Fakültesi Tarla Bitkileri uygulama alanında 2021-2022 ve 2022-2023 yetiştirme dönemlerinde yürütülmüştür. Çalışmada üç adet ekmeklik (Tekin, Dinç, Babil) ve üç adet makarnalık (Meya-2, Güneyyıldızı, Eyyubi) buğday çeşidi kullanılmış olup, farklı dozlarda potasyum sülfat uygulamalarının etkileri incelenmiştir. Deneme, Tesadüf Bloklarında Bölünen Bölünmüş Parseller Deneme Deseni'ne göre üç tekrarlamalı olarak planlanmıştır. Araştırmada başaklanma günü, başakta tane sayısı ve ağırlığı, bitki boyu, tane verimi, SPAD, NDVI, hektolitre ağırlığı ve protein oranı değerlendirilmiştir. Sonuçlar, potasyum dozlarının bazı büyüme ve kalite parametreleri üzerinde belirgin etkiler yarattığını göstermiştir. Başakta tane ağırlığı 1.80 g, başakta tane sayısı 32.12 adet, bitki boyu 83.60 cm, hektolitre ağırlığı 79.54 kg ve tane verimi 542.50 kg olarak hesaplanmıştır. En yüksek tane verimi 18 kg da⁻¹ potasyum dozu ile elde edilmiştir. SPAD değeri 51.61, NDVI 0.57 ve tane verimi 12 kg da⁻¹ potasyum uygulamasında en yüksek düzeyde tespit edilmiştir. Öte yandan, en erken başaklanma 6 kg da⁻¹ potasyum dozu uygulamasında 123.17 gün ile gerçekleşmiştir. NDVI (0.57) ve protein oranı (%15.19) açısından en yüksek ortalama değerler 10 kg da⁻¹ potasyum dozu ile elde edilmiştir. Elde edilen bulgular, potasyum gübrelemesinin yalnızca verimi artırmakla kalmayıp, buğdayın kalite özellikleri üzerinde de belirleyici bir rol oynadığını göstermektedir.
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- 2025
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213. Synthesis of Semiconductor Zinc Sulfide Nanospheres for Improving Piezoresistive Sensing Behavior of Melt‐Mixed Poly(vinylidene fluoride)/Carbon Nanotube Composites
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Müslüm Kaplan, Emre Alp, Beate Krause, Regine Boldt, and Petra Pötschke
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inorganic semiconductor ,multi‐wall carbon nanotubes (MWCNTs) ,nanomaterials ,piezoresistivity ,poly(vinylidene fluoride) (PVDF) ,strain sensing ,Physics ,QC1-999 ,Technology - Abstract
Abstract Studies have increasingly aimed at improving the piezoresistive behavior of polymer‐based conductive composites (CPCs) for strain‐sensing, with inorganic nanomaterial enhancement offering research opportunities. This study investigates the impact of incorporating zinc sulfide nanospheres (ZnS NSs, 1–7 wt.%), synthesized via a one‐step hydrothermal method, into a poly(vinylidene fluoride) (PVDF) polymer matrix together with multi‐walled carbon nanotubes (MWCNTs). Field emission scanning electron microscopy (FE‐SEM), energy‐dispersive X‐ray spectroscopy (EDX), and X‐ray diffraction (XRD) analyses reveal that ZnS NSs comprise a mixture of ZnS0.96O0.04 and S phases. While of ZnS NSs minimally impact tensile properties of the PVDF/MWCNT composites, they reduce elongation at break at 5 wt.%. During 15‐cycle strain sensing up to 3% strain, ZnS NSs‐enhanced composites outperformed PVDF/1 wt.% MWCNT. The reference sample's resistance change ratio (ΔR/R0) decreased below 1% with increased cycles, while 1 wt.% ZnS NSs increased ΔR/R0 to 3%, reducing changes upon cycle increments. Higher ZnS NSs levels (3–7 wt.%) resulted in ΔR/R0 exceeding 4–5%, indicating enhanced strain sensing performance. Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA) showed limited impact of ZnS NSs on the thermal properties and microstructure of the composites.
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- 2025
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214. Feasibility and Optimization of Donation Advisor: a Decision Support Tool for Deceased Organ Donation and Transplantation
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Sonny Dhanani, MD, Rashi Ramchandani, BHSc, MD(c), Jill Allan, RN, BN, Natasha Hudek, PhD, Christophe L. Herry, PhD, Nathan Scales, MASc, PhD, Neill K.J. Adhikari, MDCM, MSc, Jamie C. Brehaut, PhD, Karen E.A. Burns, MD, MSc, Michaël Chassé, MD, PhD, Akshai M. Iyengar, MD, MSc, Maureen O. Meade, MD, Tim Ramsay, PhD, Damon C. Scales, MD, PhD, Markus Selzner, MD, Alp Sener, MD, PhD, Marat Slessarev, MD, PhD, Heather Talbot, Matthew J. Weiss, MD, Jeffrey Zaltzman, MD, and Andrew J.E. Seely, MD, PhD
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Surgery ,RD1-811 - Abstract
Background. This study aimed to evaluate the ability of Donation Advisor (DA), a validated clinical decision support tool that uses continuous monitoring, variability analysis, and predictive models, to (i) predict likelihood of successful donation after circulatory determination of death (DCD) before withdrawal of life-sustaining measures (WLSM), and (ii) describe ischemia during WLSM in DCD patients. Methods. Eligible patients were screened at the 5 sites where DA was implemented. DA reports were generated in real time but shown to clinicians after the donation was complete (noninterventional). Clinicians were interviewed for improvement of the tool. Results. We enrolled 34 donor patients in the study; 27 had DCD attempts and 20 proceeded to organ recovery. DA reports were generated before WLSM in all 27 attempted DCD patients (100%) while post-WLSM ischemia reports were generated in 26 of 27 DCD attempts (96%). Nineteen of 34 involved clinicians completed interviews, 10 from intensive care, and 9 from transplantation team members. Following a user-centered design approach, feedback was used to create 5 versions. Revisions included additions, removals, clarifications, and formatting changes; the number of revisions decreased with each amendment. The report’s predictive scores were found to be useful by most practitioners (83%). We identified barriers and drivers to use the report in future practice, some of which may be addressed through improved education and awareness. Conclusions. DA can be deployed in real time during the DCD process. The usefulness and usability of the DA report has improved through user feedback; both barriers and drivers to implementation exist.
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- 2025
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215. Therapeutic potential of Laurus nobilis extract by experimental and computational approaches: phenolic content and bioactivities for antioxidant, antidiabetic, and anticholinergic properties
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Sevgi Altın, Mesut Işık, Cemalettin Alp, Emrah Dikici, Ekrem Köksal, Kevser Kübra Kırboğa, Mithun Rudrapal, Gourav Rakshit, Şükrü Beydemir, and Johra Khan
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Laurus nobilis L. ,phenolic content ,antioxidant ,antidiabetic ,molecular dynamics ,molecular docking ,Chemistry ,QD1-999 - Abstract
IntroductionLaurus nobilis (LN), has traditional medicinal uses, and this study investigates its therapeutic potential by focusing on its phenolic content and bioactivities such as antioxidant, antidiabetic, and anticholinergic properties. Phenolic compounds play key roles in reducing oxidative stress and modulating enzymatic activities, relevant to metabolic and neurodegenerative disorders.MethodsLN leaf extracts were prepared via ethanol maceration, followed by filtration and concentration. Phenolic content was analyzed using LC-MS/MS. Antioxidant activity was assessed through ferric thiocyanate, DPPH, ABTS, and FRAP assays. Enzyme inhibition assays targeted AChE, BChE, and α-GLY, with IC50 values from dose-response curves. In silico analyses were conducted using molecular docking techniques to predict the binding mechanisms of identified phenolic compounds with the active sites of target enzymes, evaluating binding affinities and interaction profiles.ResultsVanillic acid and catechin hydrate were the most abundant phenolics. LN extract showed strong lipid peroxidation inhibition (50.53%) compared to Trolox (28.33%) and α-tocopherol (37.79%). Moderate radical scavenging and metal reduction potentials were observed. IC50 values were 2.57 µg/L for AChE, 3.78 µg/L for BChE, and 4.65 µg/L for α-GLY, indicating notable bioactivity. In silico studies confirmed strong binding affinities of phenolics to target enzymes.DiscussionLN extracts demonstrated promising antioxidant, antidiabetic, and anticholinergic activities, attributed to high phenolic content. Enzyme inhibition results suggest potential in managing metabolic and neurodegenerative disorders. In silico findings support these bioactivities, highlighting LN’s therapeutic potential.
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- 2025
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216. Concurrent hepatitis B infection and IgA nephropathy in a patient with a history of malignant melanoma
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Gülsüm Ceren Terzioğlu, Alper Alp, Mürşide Gülay Örgün Sönmez, Ferda Bacaksızlar Sarı, Dilek Gibyeli Genek, and Bülent Huddam
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IgA nephropathy, HBV infection, malignant melanoma, paraneoplastic syndrome, immunotherapy, end-stage renal disease, renal pathology. ,Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
IgA nephropathy (IgAN) is an immune complex-mediated glomerulonephritis characterized by the deposition of IgA-dominant immune complexes in the mesangium, leading to mesangial proliferation and subsequent renal injury. Clinically, IgAN often manifests as episodic macroscopic hematuria following upper respiratory tract or gastrointestinal infections. Disease progression is variable, with 20–50% of patients advancing to end-stage renal disease within 10–20 years of diagnosis. Although IgAN is primarily idiopathic, it may also occur secondary to systemic conditions such as Henoch-Schönlein purpura, HIV infection, toxoplasmosis, ankylosing spondylitis, and liver cirrhosis. Less commonly, IgAN can be associated with hepatitis B virus (HBV) infection or manifest as a paraneoplastic phenomenon. Here, we report a unique case of clinical presentation and successful treatment of concurrent HBV infection and IgAN in a patient with a history of malignant melanoma. To our knowledge, this is the first documented case in which these three conditions (IgAN, HBV infection, and malignant melanoma) coexist in a single patient.
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- 2025
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217. A pragmatic pipeline for drug resistance and lineage identification in Mycobacterium tuberculosis using whole genome sequencing.
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Linzy Elton, Alp Aydin, Neil Stoker, Sylvia Rofael, Letícia Muraro Wildner, Jabar Babatunde Pacome Agbo Achimi Abdul, John Tembo, Muzamil Abdel Hamid, Mfoutou Mapanguy Claujens Chastel, Julio Ortiz Canseco, Ronan Doyle, Giovanni Satta, Justin O'Grady, Adam Witney, Francine Ntoumi, Alimuddin Zumla, and Timothy D McHugh
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Public aspects of medicine ,RA1-1270 - Abstract
Delays in accurate diagnosis of drug resistant tuberculosis (DR-TB) can hinder treatment. Whole genome sequencing (WGS) provides more information than standard molecular and phenotypic testing, but commonly used platforms are expensive to implement, and data interpretation requires significant expertise. We aimed to optimise a TB WGS diagnostic pipeline balancing user-friendliness, cost-effectiveness and time to results, whilst ensuring accuracy. Growth conditions, DNA extraction protocols and Oxford Nanopore Technologies (ONT) library preparation kits were compared. ONT was compared with Illumina protocols. Software for basecalling and analysis were evaluated to find the most accurate resistance SNP and lineage predictor. Optimally, a spin-column CTAB DNA extraction method was combined with the RBK110.96 library preparation kit, high accuracy (HAC) basecalling and data analysis using TB-Profiler. Compared with Illumina, the pipeline was concordant for 16/17 (94%) isolates (lineage) and for 17/17 (100%) isolates (resistance SNPs). Our pipeline was 71% (12/17) concordant with phenotypic drug susceptibility test (DST) results. Time-to-diagnosis was around four weeks. This optimised TB sequencing pipeline requires less time and expertise to run and analyse than Illumina, takes less time than phenotypic DSTs and the results are comparable with Illumina. The cost per sample is comparable with other methods. These features make it an important tool for incorporating into routine DR-TB diagnostic pipelines and larger scale drug resistance surveillance in all settings.
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- 2025
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218. Integrating GIS Mapping and Artificial Neural Networks for Assessing Biomass Energy Potential From Agricultural Residues in Iran
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Ehsan Fartash Naeimi, Gürkan Alp Kağan Gürdil, and Bahadır Demirel
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agricultural residue ,biomass ,energy ,food waste ,Iran ,Agriculture ,Agriculture (General) ,S1-972 - Abstract
ABSTRACT Agricultural residues (such as straw and other nonmarketable plant waste) in Iran exceed 200 million tons annually, which can supply 10%–15% of the country's energy needs. The objective of this study was to investigate and estimate the biomass energy potential derived from crop residues in Iran using GIS mapping and artificial neural networks. The energy potential of the residues was determined by considering their heating value and the quantity of available residues. The available agricultural residues for the 10 crops studied were estimated to be 9,688,450 tons. Sugarcane and sugar beet contributed the largest shares, representing 32.33% and 25.72%, respectively. The largest quantities of sugarcane and wheat residues were found in Khuzestan province, amounting to 3,131,620 and 124,660 tons, respectively. For sugar beet, the maximum amount of residues was recorded in West Azerbaijan, with 719,140 tons. The total heating values for the residues were calculated to be 56,376 TJ for sugarcane, 18,212.36 TJ for wheat, and 42,887.32 TJ for sugar beet. The artificial neural network was able to predict the energy potential of biomass from the main products with a correlation coefficient of over 0.99 and the lowest error rate. GIS maps proved highly effective for rapidly analyzing the status of plant residues and their energy potential in each province. The findings suggest that agricultural residues in Iran have significant potential as a sustainable biomass energy source.
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- 2025
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219. Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups.
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Viren Swami, Stefan Stieger, Martin Voracek, Toivo Aavik, Hamed Abdollahpour Ranjbar, Sulaiman Olanrewaju Adebayo, Reza Afhami, Oli Ahmed, Annie Aimé, Marwan Akel, Hussam Al Halbusi, George Alexias, Khawla F Ali, Nursel Alp-Dal, Anas B Alsalhani, Sara Álvarez-Solas, Ana Carolina Soares Amaral, Sonny Andrianto, Trefor Aspden, Marios Argyrides, John Jamir Benzon R Aruta, Stephen Atkin, Olusola Ayandele, Migle Baceviciene, Radvan Bahbouh, Andrea Ballesio, David Barron, Ashleigh Bellard, Sóley Sesselja Bender, Kerime Derya Beydaǧ, Gorana Birovljević, Marie-Ève Blackburn, Teresita Borja-Alvarez, Joanna Borowiec, Miroslava Bozogáňová, Solfrid Bratland-Sanda, Matthew H E M Browning, Anna Brytek-Matera, Marina Burakova, Yeliz Çakır-Koçak, Pablo Camacho, Vittorio Emanuele Camilleri, Valentina Cazzato, Silvia Cerea, Apitchaya Chaiwutikornwanich, Trawin Chaleeraktrakoon, Tim Chambers, Qing-Wei Chen, Xin Chen, Chin-Lung Chien, Phatthanakit Chobthamkit, Bovornpot Choompunuch, Emilio J Compte, Jennifer Corrigan, Getrude Cosmas, Richard G Cowden, Kamila Czepczor-Bernat, Marcin Czub, Wanderson Roberto da Silva, Mahboubeh Dadfar, Simon E Dalley, Lionel Dany, Jesus Alfonso D Datu, Pedro Henrique Berbert de Carvalho, Gabriel Lins de Holanda Coelho, Avila Odia S De Jesus, Sonia Harzallah Debbabi, Sandesh Dhakal, Francesca Di Bernardo, Donka D Dimitrova, Jacinthe Dion, Barnaby Dixson, Stacey M Donofrio, Marius Drysch, Hongfei Du, Angel M Dzhambov, Claire El-Jor, Violeta Enea, Mehmet Eskin, Farinaz Farbod, Lorleen Farrugia, Leonie Fian, Maryanne L Fisher, Michał Folwarczny, David A Frederick, Matthew Fuller-Tyszkiewicz, Adrian Furnham, Antonio Alías García, Shulamit Geller, Marta Ghisi, Alireza Ghorbani, Maria Angeles Gomez Martinez, Sarah Gradidge, Sylvie Graf, Caterina Grano, Gyöngyvér Gyene, Souheil Hallit, Motasem Hamdan, Jonathan E Handelzalts, Paul H P Hanel, Steven R Hawks, Issa Hekmati, Mai Helmy, Tetiana Hill, Farah Hina, Geraldine Holenweger, Martina Hřebíčková, Olasupo Augustine Ijabadeniyi, Asma Imam, Başak İnce, Natalia Irrazabal, Rasa Jankauskiene, Ding-Yu Jiang, Micaela Jiménez-Borja, Verónica Jiménez-Borja, Evan M Johnson, Veljko Jovanović, Marija Jović, Marko Jović, Alessandra Costa Pereira Junqueira, Lisa-Marie Kahle, Adam Kantanista, Ahmet Karakiraz, Ayşe Nur Karkin, Erich Kasten, Salam Khatib, Nuannut Khieowan, Patricia Joseph Kimong, Litza Kiropoulos, Joshua Knittel, Neena Kohli, Mirjam Koprivnik, Aituar Kospakov, Magdalena Król-Zielińska, Isabel Krug, Garry Kuan, Yee Cheng Kueh, Omar Kujan, Miljana Kukić, Sanjay Kumar, Vipul Kumar, Nishtha Lamba, Mary Anne Lauri, Maria Fernanda Laus, Liza April LeBlanc, Hyejoo J Lee, Małgorzata Lipowska, Mariusz Lipowski, Caterina Lombardo, Andrea Lukács, Christophe Maïano, Sadia Malik, Mandar Manjary, Lidia Márquez Baldó, Martha Martinez-Banfi, Karlijn Massar, Camilla Matera, Olivia McAnirlin, Moisés Roberto Mebarak, Anwar Mechri, Juliana Fernandes Filgueiras Meireles, Norbert Mesko, Jacqueline Mills, Maya Miyairi, Ritu Modi, Adriana Modrzejewska, Justyna Modrzejewska, Kate E Mulgrew, Taryn A Myers, Hikari Namatame, Mohammad Zakaria Nassani, Amanda Nerini, Félix Neto, Joana Neto, Angela Nogueira Neves, Siu-Kuen Ng, Devi Nithiya, Jiaqing O, Sahar Obeid, Camila Oda-Montecinos, Peter Olamakinde Olapegba, Tosin Tunrayo Olonisakin, Salma Samir Omar, Brynja Örlygsdóttir, Emrah Özsoy, Tobias Otterbring, Sabine Pahl, Maria Serena Panasiti, Yonguk Park, Muhammad Mainuddin Patwary, Tatiana Pethö, Nadezhda Petrova, Jakob Pietschnig, Sadaf Pourmahmoud, Vishnunarayan Girishan Prabhu, Vita Poštuvan, Pavol Prokop, Virginia L Ramseyer Winter, Magdalena Razmus, Taotao Ru, Mirjana Rupar, Reza N Sahlan, Mohammad Salah Hassan, Anđela Šalov, Saphal Sapkota, Jacob Owusu Sarfo, Yoko Sawamiya, Katrin Schaefer, Michael Schulte-Mecklenbeck, Veya Seekis, Kerim Selvi, Mehdi Sharifi, Anita Shrivastava, Rumana Ferdousi Siddique, Valdimar Sigurdsson, Vineta Silkane, Ana Šimunić, Govind Singh, Alena Slezáčková, Christine Sundgot-Borgen, Gill Ten Hoor, Passagorn Tevichapong, Arun Tipandjan, Jennifer Todd, Constantinos Togas, Fernando Tonini, Juan Camilo Tovar-Castro, Lise Katrine Jepsen Trangsrud, Pankaj Tripathi, Otilia Tudorel, Tracy L Tylka, Anar Uyzbayeva, Zahir Vally, Edmunds Vanags, Luis Diego Vega, Aitor Vicente-Arruebarrena, Jose Vidal-Mollón, Roosevelt Vilar, Hyxia Villegas, Mona Vintilă, Christoph Wallner, Mathew P White, Simon Whitebridge, Sonja Windhager, Kah Yan Wong, Eric Kenson Yau, Yuko Yamamiya, Victoria Wai Lan Yeung, Marcelo Callegari Zanetti, Magdalena Zawisza, Nadine Zeeni, Martina Zvaríková, and Ulrich S Tran
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Medicine ,Science - Abstract
The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions. Multi-group confirmatory factor analysis indicated that configural and metric invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional SWLS model has universal applicability. Full scalar invariance was achieved across gender identities and age groups. Based on alignment optimisation methods, partial scalar invariance was achieved across all but three national groups and across all languages represented in the BINS. There were large differences in latent SWLS means across nations and languages, but negligible-to-small differences across gender identities and age groups. Across nations, greater life satisfaction was significantly associated with greater financial security and being in a committed relationship or married. The results of this study suggest that the SWLS largely assesses a common unidimensional construct of life satisfaction irrespective of respondent characteristics (i.e., national group, gender identities, and age group) or survey presentation (i.e., survey language). This has important implications for the assessment of life satisfaction across nations and provides information that will be useful for practitioners aiming to promote subjective well-being internationally.
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- 2025
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220. Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study
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William Trevena, Xiang Zhong, Michelle Alvarado, Alexander Semenov, Alp Oktay, Devin Devlin, Aarya Yogesh Gohil, and Sai Harsha Chittimouju
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
BackgroundThe implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored. Identifying DDEs is crucial for understanding medication adherence and patient outcomes. ObjectiveThe aim of this study is to provide a flexible framework for investigating various clinical research questions in data-sparse environments. We provide an example of the utility of this framework by identifying DDEs and their root causes in an open-source web-based forum, MedHelp, and by releasing the first open-source DDE datasets to aid further research in this domain. MethodsWe used several LLMs, including GPT-4 Turbo, GPT-4o, DeBERTa (Decoding-Enhanced Bidirectional Encoder Representations from Transformer with Disentangled Attention), and BART, among others, to detect and determine the root causes of DDEs in user comments posted on MedHelp. Our study design included the use of zero-shot classification, which allows these models to make predictions without task-specific training. We split user comments into sentences and applied different classification strategies to assess the performance of these models in identifying DDEs and their root causes. ResultsAmong the selected models, GPT-4o performed the best at determining the root causes of DDEs, predicting only 12.9% of root causes incorrectly (hamming loss). Among the open-source models tested, BART demonstrated the best performance in detecting DDEs, achieving an F1-score of 0.86, a false positive rate of 2.8%, and a false negative rate of 6.5%, all without any fine-tuning. The dataset included 10.7% (107/1000) DDEs, emphasizing the models’ robustness in an imbalanced data context. ConclusionsThis study demonstrated the effectiveness of open- and closed-source LLMs, such as GPT-4o and BART, for detecting DDEs and their root causes from publicly accessible data through zero-shot classification. The robust and scalable framework we propose can aid researchers in addressing data-sparse clinical research questions. The launch of open-access DDE datasets has the potential to stimulate further research and novel discoveries in this field.
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- 2025
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221. Paucity of viral infection symptoms in patients with immune-mediated inflammatory diseases
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Carola Berking, Georg Schett, Andreas Ramming, Raja Atreya, Markus F Neurath, Bernhard Manger, Filippo Fagni, Arnd Kleyer, Milena L Pachowsky, Axel J Hueber, Stefan Kleinert, Karin Manger, Florian Schuch, Monika Ronneberger, David Simon, Michael Sticherling, Koray Tascilar, Christine Meder, Moritz Leppkes, Peter Dietrich, Verena Schoenau, Daniela Bohr, Fabian Hartmann, Selahattin Alp Temiz, Ioanna Minopoulou, Louis Schuster, Melek Yalcin Mutlu, Gerhard Kroenke, Till Orlemann, and Johanna Mößner
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Medicine - Abstract
Objectives Although patients with immune-mediated inflammatory diseases (IMID) are thought to be more susceptible to viral infections, it is unclear whether their presentation differs between patients with IMID and healthy controls. This study aimed to investigate the symptom pattern of common viral infections in patients with IMID and compare it with controls without IMIDs.Design A cross-sectional study conducted between 1 February and 30 April 2020, using a questionnaire.Setting Seven tertiary regional care centers in Germany, which specialised in the care of patients with IMID (namely, in gastroenterology, dermatology, rheumatology and immunology clinical care).Participants One thousand nine hundred nine participants completed the survey (757 patients with IMID; 1152 non-IMID controls).Primary outcome measure The occurrence of 11 common viral illness symptoms within the preceding 3 months in patients with IMID and non-IMID controls.Results Symptom data were clustered, based on number and co-occurrance, into 3 major clusters and 2 subclusters ranked by the average number of symptoms. Patients with inflammatory bowel disease and psoriasis were significantly overrepresented in the lower-frequency subcluster of the polysymptomatic cluster. Patients with rheumatoid arthritis were overrepresented in the lower-frequency subclusters of the intermediate and oligo-/asymptomatic clusters. Controls were over-represented only in the higher-frequency subclusters of each major cluster where none of the IMIDs were over-represented. Spondyloarthritis and other IMIDs were also overrepresented in the low-frequency subcluster, but the results were not significant. Overall, patients with rheumatoid arthritis patients reported fewer symptoms (rate ratio=0.68, 95% CI, 0.59 to 0.80) than non-IMID controls.Conclusion Patients with IMID are over-represented in low-frequency subclusters, even among individuals who have reported a broad range of viral infection symptoms. This pattern suggests that the manifestations of viral infections are different between patients with IMID and controls, thus challenging the accurate and early diagnosis of infections.
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- 2025
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222. On the existence of solutions to fractional differential equations involving Caputo q-derivative in Banach spaces
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Isra Al-Shbeil, Houari Bouzid, Benali Abdelkader, Alina Alp Lupas, Mohammad Esmael Samei, and Reem K. Alhefthi
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Nonliner fractional equation ,Leray-Shauders alternative ,Existence ,q-R-L integral ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
The generalization of BVPs always covers a wide range of equations. Our choice in this research is the generalization of Caputo-type fractional discrete differential equations that include two or more fractional q-integrals. We analyze the existence and uniqueness of solutions to the multi-point nonlinear BVPs base on fixed point theory, including fixed point theorem of Banach, Leray-nonlinear Schauder's alternative, and Leray-degree Schauder's theory. Finally, several examples are presented to demonstrate accuracy of our results.
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- 2025
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223. Outlook
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Akpinar, Alp and Akpinar, Alp
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- 2024
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224. Results
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Akpinar, Alp and Akpinar, Alp
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- 2024
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225. Data Analysis Strategy
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Akpinar, Alp and Akpinar, Alp
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- 2024
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226. Experimental Apparatus
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Akpinar, Alp and Akpinar, Alp
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- 2024
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227. Theoretical Background
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Akpinar, Alp and Akpinar, Alp
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- 2024
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228. Emergency Remote Teaching during the COVID-19 Pandemic: The Case of Music Teachers in Turkey and England
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Kayaarslan, Berkcan, Güzeloglu, Gizem Berrak Tas, Onat, Yigit Alp, and Sonsel, Omer Bilgehan
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The biggest and most devastating pandemic of the 21st century began to affect our world, with the Chinese Government reporting that a mysterious respiratory disease of unknown origin was detected in 2019. Education has been one of the areas most affected by this deadly disease, which spread all over the world in a short time. In this process, countries went into lockdown and changed the education model and switched to the "emergency remote teaching" model. Consequently, many students have been deprived of face-to-face education. According to UNESCO data, more than 1 billion students were affected on 13 April 2020 due to the disruption of education due to the pandemic. While face-to-face education is suspended in 7 countries today, approximately 37 million students are affected by this situation. In this research, the opinions of the music teachers working in primary and secondary public schools in Turkey and England during the emergency remote teaching about the process were taken. A sample group was formed with a total of 50 music teachers from Turkey and England. The opinions of the teachers were taken with a Likert-type interview form consisting of 6 sections and 22 questions and open-ended answers. According to these answers, the average duration of a lesson is almost equal in both countries, the lessons are generally taught from the same platforms and devices, the teachers in Turkey have more problems with the internet infrastructure during the process. While teachers' opinions about the COVID-19 processes were generally negative, it was revealed that they developed themselves in digital literacy after the process. In addition, suggestions were received from the teachers for the development of possible new emergency remote music teaching after the process. It has been seen that teachers working in both countries agree on providing equal opportunities to students. At the same time, one of the most striking suggestions is to keep the online alternative education model always ready. This study is important in order to be better prepared for the new possible emergency distance music education.
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- 2022
229. Realistic Mathematics Education: A Bibliometric Analysis
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Bayrak, Alp and Aslanci, Seher
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The aim of the study is to conduct a bibliometrical analysis on the published articles related to RME. Accordingly, Scopus database was scanned using the keywords "realistic mathematics education" or "realistic mathematic education" or "realistic maths" or "realistic mathematical education" and a total number of 1190 articles published on RME between 1986 and 2021 were obtained and anayzed bibliometrically. The data gathered was then analyzed utilizing "biblioshiny", which is a web interface app in the bibliometric R-Studio program package. The analyses were conducted in order to find out the sample of the articles' annual distributions; their 3-D area chart; the list of the journals that published the highest number of related articles; the authors and their institutions; source clusters obtained through Bradford's Law, the scientific productivity of the authors by years and their citation burst scores; the scientific productivity of the countries; the word cloud and word tree patterns of these articles; co-word analysis of the concepts, the collaboration networks of the authors and the conceptual structure mapping. The findings obtained as a result of the conducted analyses indicate that there has been an increase in the interest in RME research after 2016 and the journal with the highest number of published articles on RME is Journal on Mathematics Education. Also, the authors with the highest numbers of publications are Z. Zulkardi, S. Suparman and R. I. I. Putri, respectively, while Utrecht University has the highest number of publications on the topic. The countries with the highest rates of productivity in terms of publications on RME are found to be the USA, Indonesia, and the Netherlands, respectively. In addition, the most frequently used keyword by the researchers is found to be "realistic mathematics education", while "mathematics" is the most frequently utilized word in the titles of the analyzed articles. The overall findings of the study point out the need for further studies on RME as realistic mathematics education is considered to be a significant method in finding solutions to the problems in the field of mathematics education. Further theoretical contributions are also thought to be crucial as they could provide fundamental references for future research.
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- 2022
230. Prospective assessment of the impact of intraoperative diuretics in kidney transplant recipient surgery
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Levine, Max A., Rasmussen, Andrew, Lee, Daniel, Rim, Claire, Farokhi, Kaveh, Luke, Patrick P., and Sener, Alp
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Care and treatment ,Complications and side effects ,Patient outcomes ,Kidney transplantation -- Complications and side effects -- Patient outcomes ,Chronic kidney failure -- Care and treatment -- Patient outcomes ,Kidneys -- Transplantation - Abstract
Kidney transplantation has provided decades of successful treatment for end-stage renal disease. Delayed graft function (DGF) is a condition defined in the modern era as a requirement for dialysis within [...], Background: The use of intraoperative diuretics, such as furosemide or mannitol, during kidney transplantation has been suggested to reduce the rate of delayed graft function (DGF). The evidence base for this is sparse, however, and there is substantial variation in practice. We sought to evaluate whether the use of intraoperative diuretics during kidney transplantation translated into a reduction in DGF. Methods: We conducted a cohort study evaluating the use of furosemide or mannitol given intraoperatively before kidney reperfusion compared with control (no diuretic). Adult patients receiving a kidney transplant for end-stage renal disease were allocated to receive furosemide, mannitol, or no diuretic. The primary outcome was DGF; secondary outcomes were graft function at 30 days and perioperative changes in potassium levels. Descriptive and comparative statistics were used where appropriate. Results: A total of 162 patients who received a kidney transplant from a deceased donor (either donation after neurologic determination of death or donation after circulatory death) were included over a 2 -year period, with no significant between-group differences. There was no significant difference in DGF rates between the furosemide, mannitol, and control groups. When the furosemide and mannitol groups were pooled (any diuretic use) and compared with the control group, however, there was a significant improvement in the odds that patients would be free of DGF (odds ratio 2.10, 95% confidence interval 1.06-4.16, 26% v. 44%, p = 0.03). There were no significant differences noted in any secondary outcomes. Conclusion: This study suggests the use of an intraoperative diuretic (furosemide or mannitol) may result in a reduction in DGF in patients undergoing kidney transplantation. Further study in the form of a randomized controlled trial is warranted. Contexte: Il a t sugg r que le recours aux diur tiques perop ratoires, comme le furos mide ou le mannitol, durant la transplantation r nale pourrait r duire le taux de retard la reprise de fonction du greffon. Cependant, il existe peu de donn es probantes appuyant cette hypoth se, et une grande variabilit dans la pratique. Nous avons voulu valuer si le recours aux diur tiques perop ratoires durant la transplantation r nale entra nait une diminution des retards de reprise de fonction. M thodes: Nous avons men une tude de cohorte valuant l'administration per-op ratoire de furos mide ou de mannitol avant la reperfusion du rein, comparativement un groupe t moin (aucun diur tique). Des patients adultes atteints d'une insuffisance r nale chronique terminale recevant une transplantation r nale ont t r partis en 3 groupes: furos mide, mannitol, ou aucun diur tique. Le r sultat principal tait le retard la reprise de fonction du greffon; les r sultats secondaires taient la fonction du greffon 30 jours et la variation p riop ratoire du taux de potassium. Des statistiques descriptives et comparatives ont t utilis es, le cas ch ant. R sultats: Au total, 162 patients ayant re u une greffe du rein d'un donneur d c d (don apr s un diagnostic de d c s neurologique ou de d c s cardiocirculatoire) ont t inclus dans l' tude sur une p riode de 2 ans, sans diff rences significatives entre les groupes. Aucune diff rence significative de taux de retard la reprise de fonction n'a t observ e entre les groupes furos mide, mannitol, et aucun diur tique. Consid r s ensemble, les groupes furos mide et mannitol (tous diur tiques confondus) pr sentaient toutefois une am lioration significative du taux de retard comparativement au groupe t moin (rapport de cotes 2,10, intervalle de confiance 95% 1,06-4,16, 26% c. 44%, p = 0,03). On n'a not aucune diff rence statistiquement significative entre les 2 groupes pour ce qui est des param tres secondaires. Conclusion: Cette tude semble indiquer que le recours aux diur tiques perop ratoires (furos mide ou mannitol) pourrait entra ner une r duction du taux de retard la reprise de fonction du greffon chez les personnes ayant subi une transplantation r nale. L'ex cution d'un essai clinique randomis est de mise.
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- 2024
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231. Cycle type in Hall-Paige: A proof of the Friedlander-Gordon-Tannenbaum conjecture
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Müyesser, Alp
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Mathematics - Combinatorics ,Mathematics - Group Theory ,05D15, 05D40, 20K01 ,G.2.1 ,G.2.2 - Abstract
An orthomorphism of a finite group $G$ is a bijection $\phi\colon G\to G$ such that $g\mapsto g^{-1}\phi(g)$ is also a bijection. In 1981, Friedlander, Gordon, and Tannenbaum conjectured that when $G$ is abelian, for any $k\geq 2$ dividing $|G|-1$, there exists an orthomorphism of $G$ fixing the identity and permuting the remaining elements as products of disjoint $k$-cycles. We prove this conjecture for all sufficiently large groups., Comment: 34 pages
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- 2023
232. Visual-Policy Learning through Multi-Camera View to Single-Camera View Knowledge Distillation for Robot Manipulation Tasks
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Acar, Cihan, Binici, Kuluhan, Tekirdağ, Alp, and Wu, Yan
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Computer Science - Robotics ,Computer Science - Artificial Intelligence - Abstract
The use of multi-camera views simultaneously has been shown to improve the generalization capabilities and performance of visual policies. However, the hardware cost and design constraints in real-world scenarios can potentially make it challenging to use multiple cameras. In this study, we present a novel approach to enhance the generalization performance of vision-based Reinforcement Learning (RL) algorithms for robotic manipulation tasks. Our proposed method involves utilizing a technique known as knowledge distillation, in which a pre-trained ``teacher'' policy trained with multiple camera viewpoints guides a ``student'' policy in learning from a single camera viewpoint. To enhance the student policy's robustness against camera location perturbations, it is trained using data augmentation and extreme viewpoint changes. As a result, the student policy learns robust visual features that allow it to locate the object of interest accurately and consistently, regardless of the camera viewpoint. The efficacy and efficiency of the proposed method were evaluated both in simulation and real-world environments. The results demonstrate that the single-view visual student policy can successfully learn to grasp and lift a challenging object, which was not possible with a single-view policy alone. Furthermore, the student policy demonstrates zero-shot transfer capability, where it can successfully grasp and lift objects in real-world scenarios for unseen visual configurations., Comment: IEEE Robotics and Automation Letters
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- 2023
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233. Midgap state requirements for optically active quantum defects
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Xiong, Yihuang, Mathew, Milena, Griffin, Sinéad M., Sipahigil, Alp, and Hautier, Geoffroy
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Quantum Physics ,Condensed Matter - Materials Science - Abstract
Optically active quantum defects play an important role in quantum sensing, computing, and communication. The electronic structure and the single-particle energy levels of these quantum defects in the semiconducting host have been used to understand their opto-electronic properties. Optical excitations that are central for their initialization and readout are linked to transitions between occupied and unoccupied single-particle states. It is commonly assumed that only quantum defects introducing levels well within the band gap and far from the band edges are of interest for quantum technologies as they mimic an isolated atom embedded in the host. In this perspective, we contradict this common assumption and show that optically active defects with energy levels close to the band edges can display similar properties. We highlight quantum defects that are excited through transitions to or from a band-like level (bound exciton), such as the T center and Se$\rm _{Si}^+$ in silicon. We also present how defects such as the silicon divacancy in diamond can involve transitions between localized levels that are above the conduction band or below the valence band. Loosening the commonly assumed requirement on the electronic structure of quantum defects offers opportunities in quantum defects design and discovery, especially in smaller band gap hosts such as silicon. We discuss the challenges in terms of operating temperature for photoluminescence or radiative lifetime in this regime. We also highlight how these alternative type of defects bring their own needs in terms of theoretical developments and fundamental understanding. This perspective clarifies the electronic structure requirement for quantum defects and will facilitate the identification and design of new color centers for quantum applications especially driven by first principles computations.
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- 2023
234. Iterative constructions of irreducible polynomials from isogenies
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Bassa, Alp, Bisson, Gaetan, and Oyono, Roger
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Mathematics - Number Theory - Abstract
Let $S$ be a rational fraction and let $f$ be a polynomial over a finite field. Consider the transform $T(f)=\operatorname{numerator}(f(S))$. In certain cases, the polynomials $f$, $T(f)$, $T(T(f))\dots$ are all irreducible. For instance, in odd characteristic, this is the case for the rational fraction $S=(x^2+1)/(2x)$, known as the $R$-transform, and for a positive density of all irreducible polynomials $f$. We interpret these transforms in terms of isogenies of elliptic curves. Using complex multiplication theory, we devise algorithms to generate a large number of other rational fractions $S$, each of which yields infinite families of irreducible polynomials for a positive density of starting irreducible polynomials $f$.
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- 2023
235. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces
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Li, Zhenyu, Topal, Ozan Alp, Demir, Özlem Tuğfe, Björnson, Emil, and Cavdar, Cicek
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Computer Science - Information Theory ,Electrical Engineering and Systems Science - Signal Processing - Abstract
In this work, we consider the deployment of reconfigurable intelligent surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in indoor dense spaces. We first integrate RIS into ray-tracing simulations to realistically capture the propagation characteristics, then formulate a non-convex optimization problem that minimizes the number of RISs under rate constraints. We propose a feasible point pursuit and successive convex approximation-based algorithm, which solves the problem by jointly selecting the RIS locations, optimizing the RIS phase-shifts, and allocating time resources to user equipments (UEs). The numerical results demonstrate substantial coverage extension by using at least four RISs, and a data rate of 130 Mbit/s is guaranteed for UEs in the considered area of an airplane cabin., Comment: 6 pages 8 figures. Accepted to be presented in IEEE ICC 2023
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- 2023
236. Invertible Neural Skinning
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Kant, Yash, Siarohin, Aliaksandr, Guler, Riza Alp, Chai, Menglei, Ren, Jian, Tulyakov, Sergey, and Gilitschenski, Igor
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Graphics - Abstract
Building animatable and editable models of clothed humans from raw 3D scans and poses is a challenging problem. Existing reposing methods suffer from the limited expressiveness of Linear Blend Skinning (LBS), require costly mesh extraction to generate each new pose, and typically do not preserve surface correspondences across different poses. In this work, we introduce Invertible Neural Skinning (INS) to address these shortcomings. To maintain correspondences, we propose a Pose-conditioned Invertible Network (PIN) architecture, which extends the LBS process by learning additional pose-varying deformations. Next, we combine PIN with a differentiable LBS module to build an expressive and end-to-end Invertible Neural Skinning (INS) pipeline. We demonstrate the strong performance of our method by outperforming the state-of-the-art reposing techniques on clothed humans and preserving surface correspondences, while being an order of magnitude faster. We also perform an ablation study, which shows the usefulness of our pose-conditioning formulation, and our qualitative results display that INS can rectify artefacts introduced by LBS well. See our webpage for more details: https://yashkant.github.io/invertible-neural-skinning/
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- 2023
237. HERMES: qualification of High pErformance pRogrammable Microprocessor and dEvelopment of Software ecosystem
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Ibellaatti, Nadia, Lepape, Edouard, Kilic, Alp, Akyel, Kaya, Chouayakh, Kassem, Ferrandi, Fabrizio, Barone, Claudio, Curzel, Serena, Fiorito, Michele, Gozzi, Giovanni, Masmano, Miguel, Navarro, Ana Risquez, Muñoz, Manuel, Gallego, Vicente Nicolau, Cueva, Patricia Lopez, Letrillard, Jean-noel, and Wartel, Franck
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Computer Science - Other Computer Science ,Computer Science - Hardware Architecture ,Computer Science - Software Engineering - Abstract
European efforts to boost competitiveness in the sector of space services promote the research and development of advanced software and hardware solutions. The EU-funded HERMES project contributes to the effort by qualifying radiation-hardened, high-performance programmable microprocessors, and by developing a software ecosystem that facilitates the deployment of complex applications on such platforms. The main objectives of the project include reaching a technology readiness level of 6 (i.e., validated and demonstrated in relevant environment) for the rad-hard NG-ULTRA FPGA with its ceramic hermetic package CGA 1752, developed within projects of the European Space Agency, French National Centre for Space Studies and the European Union. An equally important share of the project is dedicated to the development and validation of tools that support multicore software programming and FPGA acceleration, including Bambu for High-Level Synthesis and the XtratuM hypervisor with a level one boot loader for virtualization., Comment: Accepted for publication at DATE 2023
- Published
- 2023
238. Interplay of structure and magnetism in LuFe4Ge2 tuned by hydrostatic pressure
- Author
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Ajeesh, M. O., Materne, P., Reis, R. D. dos, Weber, K., Dengre, S., Sarkar, R., Khasanov, R., Kraft, I., León, A. M., Bi, W., Zhao, J., Alp, E. E., Medvedev, S., Ksenofontov, V., Rosner, H., Klauss, H. -H., Geibel, C., and Nicklas, M.
- Subjects
Condensed Matter - Strongly Correlated Electrons ,Condensed Matter - Materials Science - Abstract
LuFe$_4$Ge$_2$ crystallizes in the ZrFe$_4$Si$_2$-type structure, hosting chains of Fe-tetrahedra giving rise to geometric frustration and low-dimensionality. The compound orders antiferromagnetically at around 36 K accompanied by a simultaneous structural transition from a tetragonal to an orthorhombic phase. The hydrostatic pressure dependence of the magnetic and structural transitions is investigated using electrical-transport, ac magnetic-susceptibility, ac calorimetry, M$\ddot{\rm o}$ssbauer, muon-spin relaxation ($\mu$SR), and x-ray diffraction measurements. External pressure suppresses the first-order transition to the antiferromagnetic phase (AFM1) around 1.8 GPa. The structural transition is largely unaffected by pressure and remains between 30 to 35 K for pressures up to 2 GPa. A second antiferromagnetic phase (AFM2) is observed at higher pressures. The transition from the paramagnetic to the AFM2 phase is of second-order nature and appears to be connected to the structural transition. The magnetic volume fraction obtained from $\mu$SR and M$\ddot{\rm o}$ssbauer measurements reveal that the entire sample undergoes magnetic ordering in both magnetic phases. In addition, similar low-temperature muon-precession frequencies in AFM1 and AFM2 phases point at similar ordered moments and magnetic structures in both phases. Our results further indicate enhanced magnetic fluctuations in the pressure induced AFM2 phase. The experimental observations together with density functional theory calculations suggest that the magnetic and structural order parameters in LuFe$_4$Ge$_2$ are linked by magnetic frustration, causing the simultaneous magneto-structural transition., Comment: 9 pages, 8 figures
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- 2023
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239. Oral Health and Oral Mucosa as A Graft Material for Urinary System: A Narrative Review
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Akyol, Alp, Akyol, İpek, Ergün, Kasım Emre, and Buduneli, Nurcan
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- 2024
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240. Operative service delivery planning and scheduling in Product-Service Systems: A systematic literature review
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Alp, Enes, Pirola, Fabiana, Sala, Roberto, Pezzotta, Giuditta, and Kuhlenkötter, Bernd
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- 2024
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241. Riparian habitat connectivity restoration in an anthropized landscape: A multi-species approach based on landscape graph and soil bioengineering structures
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Boncourt, Etienne, Bergès, Laurent, Alp, Maria, Dupont, Blandine, Herviault, Timothée, and Evette, André
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- 2024
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242. Implications of obstructive sleep apnea on reproductive health: a study on anti-Mullerian hormone levels
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Yildiz, Hanifi, Alp, Hamit Hakan, Üçler, Rıfkı, and Bilgin, Mehmet Hakan
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- 2024
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243. Varagavank Monastery’s Khachkar Motifs: Understanding Production Through Parametric Methods
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Bayer, Semih and Çakici Alp, Neşe
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- 2024
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244. Data-driven aggregate modeling of a semiconductor wafer fab to predict WIP levels and cycle time distributions
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Deenen, Patrick C., Middelhuis, Jeroen, Akcay, Alp, and Adan, Ivo J. B. F.
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- 2024
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245. Sustainable 3D printing with alkali-treated hemp fiber-reinforced polycarbonate composites
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Ceylan, İrem, Çakıcı Alp, Neşe, and Aytaç, Ayşe
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- 2024
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246. Evaluation of neurocognitive and social developments after craniosynostosis surgery
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Aksoğan, Yiğit, Kuzucu, Pelin, Soysal Acar, Azime Ş., Şahin, Merve Büke, Gücüyener, Kıvılcım, and Börcek, Alp Ö.
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- 2024
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247. The role of irisin in predicting obstructive sleep apnea severity among obese individuals: a comparative analysis
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Yildiz, Hanifi and Alp, Hamit Hakan
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- 2024
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248. Lateral Overlay Sliding Transposition (LOST): A Novel Surgical Technique in Patients with Cephalic Malposition and Alar Retraction
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Alp, Ahmet, Polat, Emre, Yenigun, Alper, and Ozturan, Orhan
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- 2024
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249. Estimation of optimal tilt angles and solar radiation collected by fixed and tracking solar panels for the Mediterranean region, Turkey
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Akgul, Batur Alp, Ozyazici, Mustafa Sadettin, and Hasoglu, Muhammet Fatih
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- 2024
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250. A Low-Risk HPV-Associated Well-Differentiated Squamous Cell Carcinoma of the Cervix with Low-Grade Squamous Intraepithelial Lesion Morphology: Clinical and Pathologic Diagnostic Difficulties and Review of the Literature
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Deniz ATES, Esra Nur SAHIN, Kübra KATIPOGLU, and Alp USUBUTUN
- Subjects
cervix ,condylomatous carcinoma ,hpv ,koilocytosis ,squamous cell carcinoma ,Pathology ,RB1-214 - Abstract
Approximately 95% of cervical squamous cell carcinomas are associated with high-risk HPV, with a small number of HPV-independent tumors. However, low-risk HPV types have also been detected in rare cervical squamous cell carcinomas. Low-grade squamous intraepithelial lesion-related changes are a rare morphologic finding in cervical squamous cell carcinoma. We present the case of a 30-yr-old woman who presented with pelvic pain and foul-smelling vaginal discharge showing an exophytic lesion protruding from the cervix. Repeated superficial biopsies showed a low-grade squamous intraepithelial lesion (LSIL) characterized by binucleation and koilocytosis. Chromogenic in-situ hybridization revealed the presence of HPV6/11. The absence of high-risk HPV was confirmed by PCR. After following the patient for nine months without intervention, type III hysterectomy and bilateral pelvic paraaortic lymphadenectomy were performed. Microscopic examination showed well-differentiated squamous cell carcinoma with solid epithelial islands and extensive eosinophilic cytoplasm without pleomorphism. HPV 6 and 11 were also detected with chromogenic in-situ hybridization. Neoplasm invaded the full-thickness of the cervical wall and infiltrated the vagina, parametrium, the proximal ureter and bladder. The patient who received chemoradiotherapy is disease-free at 36 months follow-up. Low-risk HPV-related well-differentiated invasive squamous lesions exist, and such lesions could be a diagnostic pitfall for gynecologists and pathologists; in these cases, radiologic-pathologic correlation and radiologic guided biopsy are mandatory.
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- 2024
- Full Text
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