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Abstract Hydrogen is of interest for decarbonizing hard-to-abate sectors because it does not produce carbon dioxide when combusted. However, hydrogen has indirect warming effects. Here we conducted a life cycle assessment of electrolysis and steam methane reforming to assess their emissions while considering hydrogen’s indirect warming effects. We find that the primary factors influencing life cycle climate impacts are the production method and related feedstock emissions rather than the hydrogen leakage and indirect warming potential. A comparison between fossil fuel-based and hydrogen-based steel production and heavy-duty transportation showed a reduction in emissions of 800 to more than 1400 kg carbon dioxide equivalent per tonne of steel and 0.1 to 0.17 kg carbon dioxide equivalent per tonne-km of cargo. While any hydrogen production pathway reduces greenhouse gas emissions for steel, this is not the case for heavy-duty transportation. Therefore, we recommend a sector-specific approach in prioritizing application areas for hydrogen.

Abstract The first FASER search for a light, long-lived particle decaying into a pair of photons is reported. The search uses LHC proton-proton collision data at s $$ \sqrt{s} $$ = 13.6 TeV collected in 2022 and 2023, corresponding to an integrated luminosity of 57.7 fb −1. A model with axion-like particles (ALPs) dominantly coupled to weak gauge bosons is the primary target. Signal events are characterised by high-energy deposits in the electromagnetic calorimeter and no signal in the veto scintillators. One event is observed, compared to a background expectation of 0.44 ± 0.39 events, which is entirely dominated by neutrino interactions. World-leading constraints on ALPs are obtained for masses up to 300 MeV and couplings to the Standard Model W gauge boson, g aWW , around 10 −4 GeV −1, testing a previously unexplored region of parameter space. Other new particle models that lead to the same experimental signature, including ALPs coupled to gluons or photons, U(1) B gauge bosons, up-philic scalars, and a Type-I two-Higgs doublet model, are also considered for interpretation, and new constraints on previously viable parameter space are presented in this paper.

Abstract Introduction Water Jet Ablation Therapy (WJAT) and Holmium Laser Enucleation of the Prostate (HoLEP) represent two common surgical treatments for Benign Prostatic Hyperplasia (BPH). Despite their increasing use, there is no study between these two methods. We aim to evaluate their efficacy and safety through a network meta‐analysis (NMA), providing critical insights for clinical decision‐making in the management of moderate to severe lower urinary tract symptoms (LUTS) due to BPH. Methods Pubmed, EMBASE and Cochrane Library were searched. Randomized controlled trials and prospective single‐arm studies comparing WJAT and HoLEP with TURP, reporting symptom scores, flow rates and adverse events. Data extraction and quality assessments were independently performed. Bayesian modelling in RStudio was used for statistical analysis, evaluating continuous outcomes through mean difference and categorical variables via risk ratios. Risk‐of‐Bias (RoB) and GRADE assessments were performed. Findings Twenty‐three studies were included (WJAT‐11, HoLEP‐12). Most studies were at some or high risk of bias. At 12 months, the IPSS, Qol, PVR and Qmax improvements were 4.14 points (95% CI: ‐0.34 to 8.64, not‐significant [NS], GRADE‐rating: Low), 0.32‐points (95% CI:‐10.70 to 3.27, NS, GRADE‐rating: Low), 2.45 ml/s (95% CI: ‐1.85 to 7.05, NS, GRADE‐rating: Low), 63.10 ml (95% CI: 39.80 to 87.30, statistically‐significant [SS], GRADE‐rating: Moderate), respectively, all in favour of HoLEP. Haemoglobin‐loss was lower with HoLEP, 1.16 g/dl (95% CI: ‐2.56 to 0.54 mg/dl, NS, GRADE‐rating: Moderate) than WJAT. The risk of incontinence was higher with HoLEP; 4.48 (95% CI: 0.22 to 168.50, NS, GRADE‐rating: Very Low) than WJAT in single–arm analysis. The risk of blood transfusion was higher with WJAT (RR = 0.14; 95% CI: 0.00 to 4.21, NS, GRADE‐rating: Low) than HoLEP. Risk of Total Serious Adverse Events (Clavien‐Dindo grade>3) was higher with HoLEP (RR = 1.12, higher with HoLEP, 95% CI: 0.20 to 12.71, NS, GRADE‐rating: Low) than WJAT. Retreatment was lower with HoLEP (RR = 0.46, 95% CI: 0.02 to 10.54 GRADE‐rating: Low) than WJAT. Interpretation Our study suggests that both HoLEP and WJAT are effective treatments for BPH, both with similar IPSS and QoL improvements. HoLEP excels in functional outcomes, particularly in improving Qmax and PVR. Conversely, WJAT, with its shorter operation time and hospital stays, presents a compelling alternative, particularly for outpatient settings.

Selectivity in radical chain oligomerizations involving [1.1.1]propellane – i.e., to make [n]staffanes – has been notoriously challenging to control when n > 1 is desired. Herein, we report selective syntheses of SF5- and CF3SF4-containing [2]staffanes from SF5Cl and CF3SF4Cl, demonstrating cases whereby oligomerization is preferentially truncated after incorporation of two bicyclopentane (BCP) units. Synthetic and computational studies suggest this phenomenon can be attributed to alternating radical polarity matching. In addition, single-crystal X-ray diffraction (SC-XRD) data reveal structurally interesting features of the CF3SF4-containing [2]staffane in the solid state.

The incorporation of novel therapeutic agents such as antibody‐drug conjugates, radio‐conjugates, T‐cell engagers, and chimeric antigen receptor cell therapies represents a paradigm shift in oncology. Cell‐surface target quantification, quantitative assessment of receptor internalization, and changes in the tumor microenvironment (TME) are essential variables in the development of biomarkers for patient selection and therapeutic response. Assessing these parameters requires capabilities that transcend those of traditional biomarker approaches based on immunohistochemistry, in situ hybridization and/or sequencing assays. Computational pathology is emerging as a transformative solution in this new therapeutic landscape, enabling detailed assessment of not only target presence, expression levels, and intra‐tumor distribution but also of additional phenotypic features of tumor cells and their surrounding TME. Here, we delineate the pivotal role of computational pathology in enhancing the efficacy and specificity of these advanced therapeutics, underscoring the integration of novel artificial intelligence models that promise to revolutionize biomarker discovery and drug development.

Abstract Objectives To evaluate the safety and feasibility of “en‐bloc” Holmium Laser Enucleation of the Prostate (HoLEP) with trainee involvement in patients with prostates larger than 200 cc. Patients and Methods A retrospective analysis was conducted on patients undergoing HoLEP using the “en‐bloc” technique for prostate sizes > 200 cc between July‐2017 and December‐2023 at an academic teaching hospital. Perioperative data was collected, including patient demographics, clinical parameters, operative details and functional outcomes. Patients who continued to experience incontinence at 1 year were further followed up at 2 years to update their continence status. Sub‐group analysis was performed to compare outcomes between patients with preoperative prostate size of 200–300 cc and > 300 cc. Results The analysis included 89 patients with a mean age of 73.12 ± 8.10 years. Preoperative prostate weight ranged from 200 to 401 cc with a median of 245 cc, and median PSA was 7.71 ng/ml. Median operative time was 218.5 minutes, and median enucleated prostate volume was 164.2 cc. Median postoperative PSA was 0.4 [0.21–0.78] ng/ml. At 1‐year follow‐up, mean IPSS was 1 ± 2.4, Qmax was 27.03 ± 11.57 ml/s and PVR was 21.6 ± 28.6 ml. Postoperative complications included blood transfusion (5.6%), acute renal injury (4.5%), urinary tract infection (2.2%), postoperative urinary retention (2.2%) and urethral stricture (5%). Although transient urinary incontinence was noted in 41.6% at 1–3‐months, complete continence was achieved in 83.3% and 96.3% at 1 and 2 years postoperatively, respectively. Subgroup analysis showed significant differences in operative time and enucleated weight between prostates 200–300 cc and > 300 cc, but no significant differences in postoperative IPSS, PVR or Qmax at 3‐months. Conclusion “En‐bloc” HoLEP is a feasible and safe procedure for prostates larger than 200 cc, demonstrating favourable perioperative and functional outcomes despite the extended operative times and involvement of trainees.

Inverted papilloma is a benign epithelial tumor characterized by ingrowth into the ectodermal Schneiderian membrane in the nasal cavity and the paranasal sinuses. A 35-year-old male patient presented to our Otorhinolaryngology and Head and Neck Surgery Outpatient Department with complaints of left-sided nasal obstruction for 4 years. Histopathological examination was reported as inverted papilloma. The patient recovered well without any evidence of residual lesion.

Abstract Objectives We aim to compare efficacy and safety of water vapour therapy (Rezūm), transurethral needle ablation (TUNA) and transurethral microwave therapy (TUMT) for treating men with moderate to severe benign prostatic hyperplasia (BPH) symptoms. Materials PubMed/MEDLINE, EMBASE and Cochrane Library were searched from inception to 30 July 2023, followed by reference searching and dual‐independent study selection. We analysed only randomized clinical trials. RoB‐2, NIH‐quality assessment tool and GRADE guidelines were used for quality‐of‐evidence (QoE) assessment. Relevant prospective studies without a critical risk‐of‐bias were included. Results At 12 months, Rezūm showed similar efficacy to TUNA and TUMT for improvement in International Prostate Symptoms Score – Rezūm versus TUMT: 1.33 points (95% CI: −1.66 to 4.35) favouring TUMT (QoE: Moderate) and Rezūm versus TUNA: 0.07 points (95% CI: −3.64 to 3.88) favouring TUNA (QoE: Low). Rezum had similar outcomes to TUNA and TUMT for Maximum Peak‐Flow Rate (Qmax): Rezūm versus TUMT: 1.05 mL/s (95% CI: −4.88 to 2.82) favouring Rezūm (QoE: Low) and Rezūm versus TUNA: 0.37 mL/s (95% CI: −4.61 to 4.21) favouring TUNA (QoE: Low). Furthermore, post‐void residual volume (PVR) comparisons demonstrated that Rezūm was similar, or inferior to other techniques at 12 months – Rezūm versus TUMT: 11.20 mL (95% CI: −32.40 to 10.30) favouring TUMT (QoE: Low) and Rezūm versus TUNA: 24.10 mL (95% CI: 2.81 to 45.10) favouring TUNA (QoE: Low). Rezūm also had a similar surgical retreatment rate with TUMT and TUNA up to 3‐years – TUMT versus Rezūm RR: 1.21 (95% CI: 0.20 to 15.90) (QoE: Low) and TUNA versus Rezūm showed RR: 1.81 (95% CI: 0.2 to 24.60) (QoE: Low). In the first 12 months after treatment, Rezūm had a higher rate of serious adverse events (Clavien‐Dindo ≥ Grade 3) than TUMT and TUNA. TUMT versus Rezūm with RR = 0.53 (95% CI: 0.13 to 3.14) (QoE: Low) and TUNA versus Rezūm with RR = 0.38 (95% CI: 0.04 to 3.49) (QoE: Low). Conclusions Moderate to weak evidence suggests that Rezūm is not superior to TUNA and TUMT in all domains studied.

A low-cost monitoring and data transfer system is needed that uses various protocols in the Internet of Things (IoT) technologies. Among the various available protocols for the transmission of messages such as hypertext transfer protocol (HTTP), constrained application protocol (CoAP), etc., message queuing telemetry transport (MQTT) is the most widely used protocol due to its lower power consumption. Further, broker selection is the foremost task in operating the MQTT-based algorithms used in the automation. Researchers have explored several brokers. After a rigorous analysis, the EMQX broker-based MQTT protocol is investigated to transfer the data between the clients efficiently. The implementation and performance analysis of the EMQX broker-based MQTT protocol is assessed in depth with respect to the published and subscribed rates of data packets. Furthermore, new metric sets i.e. average number of messages published and subscribed and messages received with actual QoS are represented and analyzed in combinations of different quality of services (QoSs) to publish and subscribe the data. The analysis shows the efficacy of the investigated protocol.

Age-related macular diseases (AMD) are common reason for visual impairment in humans. These anomalies can result from a variety of illnesses and disorders. Currently, skilled medical professionals make this diagnosis by visually inspecting the pictures. The study of ophthalmology is moving towards the creation of a computer-aided diagnosis (CAD) system for the identification of ocular disorders and diseases. It is crucial to classify these illnesses as accurately and without any false-negatives as possible. However, a person’s retina could be impacted by a number of fundus problems. So, for the purpose of classifying these diseases and pathologies into multiple categories, we study a case with 40 possible class labels. Random Forest was found to be 72.57% accurate based on global features extracted from the dataset and an analysis of the performance of several machine learning models. The dataset was then trained using a few user-defined and pretrained models, and it was found that EfficientNet B1 outperformed all other deep learning models in terms of test accuracy (90.2%), precision (0.993), recall (0.992), F1 score (0.8737), and (=0.2) score. All the models were trained on a set of 1166 images, validated on 250 images, and tested on 250 images

Abstract Many targeted cancer therapies rely on biomarkers assessed by scoring of immunohistochemically (IHC)-stained tissue, which is subjective, semiquantitative, and does not account for expression heterogeneity. We describe an image analysis-based method for quantitative continuous scoring (QCS) of digital whole-slide images acquired from baseline human epidermal growth factor receptor 2 (HER2) IHC-stained breast cancer tissue. Candidate signatures for patient stratification using QCS of HER2 expression on subcellular compartments were identified, addressing the spatial distribution of tumor cells and tumor-infiltrating lymphocytes. Using data from trastuzumab deruxtecan-treated patients with HER2-positive and HER2-negative breast cancer from a phase 1 study (NCT02564900; DS8201-A-J101; N = 151), QCS-based patient stratification showed longer progression-free survival (14.8 vs 8.6 months) with higher prevalence of patient selection (76.4 vs 56.9%) and a better cross-validated log-rank p value (0.026 vs 0.26) than manual scoring based on the American Society of Clinical Oncology / College of American Pathologists guidelines. QCS-based features enriched the HER2-negative subgroup by correctly predicting 20 of 26 responders.

Abstract The near-infinite compositional space of high-entropy-alloys (HEAs) is a huge resource-intensive task for developing exceptional materials. In the present study, an algorithmic framework has been developed to optimize the composition of an alloy with chosen set of elements, aiming to maximize the hardness of the former. The influence of phase on hardness prediction of HEAs was thoroughly examined. This study aims to establish generalized prediction models that aren’t confined by any specific set of elements. We trained the HEA identification model to classify HEAs from non-HEAs, the multi-labeled phase classification model to predict phases of HEAs also considering the processing route involved in the synthesis of the alloy, and the hardness prediction model for predicting hardness and optimizing the composition of the given alloy. The purposed algorithmic framework uses twenty-nine alloy descriptors to compute the composition that demonstrates maximum hardness for the given set of elements along with its phase(s) and a label stating whether it is classified as HEA or not.

Ophthalmic diseases such as glaucoma, age-related macular degeneration (ARMD), and optic neuritis involve complex molecular and cellular disruptions that challenge current diagnostic and therapeutic approaches. Advanced artificial intelligence (AI) and machine learning (ML) models offer a novel lens to analyze these diseases by integrating diverse datasets, identifying patterns, and enabling precision medicine strategies. Over the past decade, applications of AI in ophthalmology have expanded from imaging-based diagnostics to molecular-level modeling, bridging critical gaps in understanding disease mechanisms. This paper systematically reviews the application of AI-driven methods, including reinforcement learning (RL), graph neural networks (GNNs), Bayesian inference, and generative adversarial networks (GANs), in the context of these ophthalmic conditions. RL models simulate transcription factor dynamics in hypoxic or inflammatory environments, offering insights into disrupted molecular pathways. GNNs map intricate molecular networks within affected tissues, identifying key inflammatory or degenerative drivers. Bayesian inference provides probabilistic models for predicting disease progression and response to therapies, while GANs generate synthetic datasets to explore therapeutic interventions. By contextualizing these AI tools within the broader framework of ophthalmic disease management, this review highlights their potential to transform diagnostic precision and therapeutic outcomes. Ultimately, this work underscores the need for continued interdisciplinary collaboration to harness AI’s potential in advancing the field of ophthalmology and improving patient care.

Xie and Eberly introduced a genuine multipartite entanglement (GME) measure ‘concurrence fill’ (Xie and Eberly, 2021) for three-party systems. It is defined as the area of a triangle whose side lengths represent squared concurrence in each bi-partition. However, it has been recently shown that concurrence fill is not monotonic under LOCC, hence not a faithful measure of entanglement. Though it is not a faithful entanglement measure, it encapsulates an elegant geometric interpretation of bipartite squared concurrences. There have been a few attempts to generalize GME quantifier to four-party settings and beyond. However, some of them are not faithful, and others simply lack an elegant geometric interpretation. The recent proposal from Xie et al.. constructs a concurrence tetrahedron, whose volume gives the amount of GME for four-party systems; with generalization to more than four parties being the hypervolume of the simplex structure in that dimension. Here, we show by construction that to capture all aspects of multipartite entanglement, one does not need a more complex structure, and the four-party entanglement can be demonstrated using 2D geometry only. The subadditivity together with the Araki-Lieb inequality of linear entropy is used to construct a direct extension of the geometric GME quantifier to four-party systems resulting in quadrilateral geometry. Our quantifier can be geometrically interpreted as a combination of three quadrilaterals whose sides result from the concurrence in one-to-three bi-partition, and diagonal as concurrence in two-to-two bipartition.

Abstract The ability to scale two-dimensional (2D) material thickness down to a single monolayer presents a promising opportunity to realize high-speed energy-efficient memristors. Here, we report an ultra-fast memristor fabricated using atomically thin sheets of 2D hexagonal Boron Nitride, exhibiting the shortest observed switching speed (120 ps) among 2D memristors and low switching energy (2pJ). Furthermore, we study the switching dynamics of these memristors using ultra-short (120ps-3ns) voltage pulses, a frequency range that is highly relevant in the context of modern complementary metal oxide semiconductor (CMOS) circuits. We employ statistical analysis of transient characteristics to gain insights into the memristor switching mechanism. Cycling endurance data confirms the ultra-fast switching capability of these memristors, making them attractive for next generation computing, storage, and Radio-Frequency (RF) circuit applications.

Abstract Background Although holmium laser enucleation (HoLEP) is considered a size‐independent procedure for treatment of an enlarged prostate, prostate artery embolization (PAE) is emerging as an alternative modality to treat moderate and large benign prostatic hyperplasia. This study aims to compare the early post‐operative and short‐term efficacy of PAE and HoLEP. Methods PubMed, Cochrane Library and EMBASE databases were searched. Network meta‐analysis was performed following PRISMA‐N‐guidelines. Post‐operative parameters analysed include international prostate symptom score (IPSS), quality of life (QOL), post‐void residual urine (PVR), maximal uroflow rate (Qmax) and serious adverse events (SAE). Random effects model calculated weighted mean differences (WMD). If 95%CI crossed the line of no effect (WMD = 0), evidence indicated no statistically significant difference between treatments compared. Results Qualitative and quantitative syntheses included 20 and 18 studies with 1991 and 1606 patients, respectively. At 3 months, there was no statistically significant difference between PAE and HoLEP in IPSS score improvement [WMD: −2.21: 95%CI: (−10.20, 5.78), favouring PAE], QoL score improvement [WMD: −0.22:95%CI: (−1.75, 1.32), favouring PAE] and PVR improvement [WMD: 26.97: 95%CI: (−59.53, 113.48), favouring HoLEP]. However, PAE was found inferior to HoLEP for Qmax improvement [WMD: 8.47, 95%CI: (2.89, 14.05), favouring HoLEP]. At 1‐year follow‐up, there was no statistically significant was found between PAE and HoLEP for IPSS score improvement [WMD:6.03, 95%CI: (−1.30, 13.35)], QoL score improvement [WMD: 0.03, 95%CI: (−1.19, 1.25)], PVR improvement [WMD:4.11, 95%CI: (−32.31, 40.53)] and Qmax improvement [WMD:2.60, 95%CI: (−2.20, 7.41)] with all differences favouring HoLEP. PAE was superior to HoLEP for SAE [PAE vs. HoLEP‐OR: 0.68, 95%CI: (0.25, 1.37)]. Conclusion HoLEP was superior to PAE at 3 months for Qmax improvement. There was no significant difference in IPSS, QoL, PVR and Qmax improvement at 1 year between PAE and HoLEP. PAE was also associated with lesser SAE compared to HoLEP. Studies on the long‐term outcome of PAE are needed to establish the durability of early outcomes after PAE.

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has significantly impacted Web Service Classification, a critical task for service discovery, composition, and selection in various applications. Effective service classification improves security, scalability, cost-effectiveness, and other crucial parameters for service selection in specific applications. This paper aims to formulate a novel classification model and conduct a comparative study to analyze the performance of base models with various classical and modern clustering algorithms. We propose a unique approach based on natural language processing (NLP) combining Word2Vec and BERT models to generate high-dimensional embeddings from the service dataset. These embeddings are further processed using Dense Layers for dimensionality reduction and then used as inputs to different clustering algorithms. The results demonstrate that our approach significantly improves the accuracy and efficiency of classification, providing a comprehensive overview of performance across various combinations and highlighting the advantages of our method.

This paper proposes a parallel implementation of the Bron-Kerbosch algorithm, which finds all maximal cliques in large, complex graphs using CPU and thread-level parallelism and distributed memory with multiple cores. With the growing size and complexity of modern graphs, sequential algorithms can become impractical, making parallel computation a promising solution for reducing duration and enhancing scalability. Decomposing the graph into smaller components and distributing the workload across multiple threads using task parallelism is the proposed method. To optimise the algorithm’s efficacy across processes, load-balancing techniques are also investigated. The modified Bron-Kerbosch algorithm is implemented and evaluated on a variety of large graphs, exhibiting significant runtime and scalability enhancements over the sequential version. The conclusion of the paper discusses the prospective applications of the parallel Bron-Kerbosch algorithm in a variety of domains, including social network analysis, bio informatics, and network security. Overall, this research contributes to the expanding body of work on parallel computing and graph analysis by emphasising the advantages of CPU and thread-level parallelism for efficiently solving complex computational problems.

Background: Despite increasing incidence, there is little data on abnormal eating behaviours or disorders in Indian youth, especially medical students. Additionally, little literature exists measuring the association of social media use with abnormal eating behaviours. Aim: To assess the prevalence of abnormal eating behaviours amongst medical students, social media usage, and any association of social media usage with eating behaviours. Materials and Methods: An online cross-sectional questionnaire-based study was conducted with 272 participants at a medical college, and two scales: the Three-Factor Eating Questionnaire-Revised 21items (TFEQ-R21) and the Scale of Effects of social media on Eating Behaviour (SESMEB) were used. Results: 22% of the participants reported abnormal eating behaviours. A significant difference in the effect of social media on eating behaviour according to the year of study [f = 3.08, P = 0.02] was seen with the final years having the lowest and the first years having the highest SESMEB scores. Students using more than 4 social media platforms had a higher SESMEB score [t = -2.02, P < 0.04]. A positive correlation was seen between TFEQ domains such as uncontrolled eating [r = 0.38, P = 0.01], emotional eating [r = 0.30, P = 0.01], and TFEQ total score [r = 0.40, P = 0.01] with SESMEB scores.Conclusion: This study finds a significant correlation between increased social media usage and developing abnormal eating behaviours in medical students. It highlights the need for the creation of policies regulating social media use with eating behaviours in mind.

Abstract In this work, the authors have demonstrated the use of machine learning (ML) models in the prediction of bulk modulus for High Entropy Alloys (HEA). For the first time, ML has been used for optimizing the composition of HEA to achieve enhanced bulk modulus values. A total of 12 ML algorithms were trained to classify the elemental composition as HEA or non-HEA. Among these models, Gradient Boosting Classifier (GBC) was found to be the most accurate, with a test accuracy of 78%. Further, six regression models were trained to predict the bulk modulus of HEAs, and the best results were obtained by LASSO Regression model with an R-square value of 0.98 and an adjusted R-Square value of 0.97 for the test data set. This work effectively bridges the gap in the discovery and property analysis of HEAs. By accelerating material discovery via providing alternate means for designing virtual alloy compositions having favourable bulk modulus for respective applications, this work opens new avenues of applications of HEAs.

Abstract Dysregulation of the innate immune system and inflammatory-related pathways has been implicated in hematopoietic defects in the bone marrow microenvironment and associated with aging, clonal hematopoiesis, myelodysplastic syndromes (MDS), and acute myeloid leukemia (AML). As the innate immune system and its pathway regulators have been implicated in the pathogenesis of MDS/AML, novel approaches targeting these pathways have shown promising results. Variability in expression of Toll like receptors (TLRs), abnormal levels of MyD88 and subsequent activation of NF-κβ, dysregulated IL1-receptor associated kinases (IRAK), alterations in TGF-β and SMAD signaling, high levels of S100A8/A9 have all been implicated in pathogenesis of MDS/AML. In this review we not only discuss the interplay of various innate immune pathways in MDS pathogenesis but also focus on potential therapeutic targets from recent clinical trials including the use of monoclonal antibodies and small molecule inhibitors against these pathways.

Introduction: The aim of this study was to assess a modified gun violence exposure tool at a pediatric clinic on the West Side of Chicago to identify youth at high risk of future gun violence. Methods: A modified version of the SaFETy gun violence exposure tool, studied in a community pediatric primary care setting, was implemented from June to August 2021. Patients and pediatric clinicians were surveyed after pilot. Results: Of 508 eligible patients, 341 youth (67.1%) completed the SaFETy tool. None had a SaFETy score ≥6, the threshold for immediate referral. Over a quarter (26.4%) of youth had scores of 1–5, and of those, 7.8% were referred at the clinician's discretion. Youth (n=84) participants randomly selected to complete an anonymous survey provided feedback about the SaFETY tool, reporting that the questions were easy to understand (92%). All 6 pediatric clinicians surveyed agreed that the tool helped to identify youth exposed to gun violence. Conclusions: Screening for gun violence exposure among youth is logistically feasible in the pediatric outpatient setting. A more sensitive validated tool to stratify low-/medium-risk patients in the primary care setting is needed.

Rexinoids are agonists of nuclear rexinoid X receptors (RXR) that heterodimerize with other nuclear receptors to regulate gene transcription. A number of selective RXR agonists have been developed for clinical use but their application has been hampered by the unwanted side effects associated with the use of rexinoids and a limited understanding of their mechanisms of action across different cell types. Our previous studies showed that treatment of organotypic human epidermis with the low toxicity UAB30 and UAB110 rexinoids resulted in increased steady-state levels of all-trans-retinoic acid (ATRA), the obligatory ligand of the RXR-RAR heterodimers. Here, we investigated the molecular mechanism underlying the increase in ATRA levels using a dominant negative RXRα that lacks the activation function 2 (AF-2) domain. The results demonstrated that overexpression of dnRXRα in human organotypic epidermis markedly reduced signaling by resident ATRA, suggesting the existence of endogenous RXR ligand, diminished the biological effects of UAB30 and UAB110 on epidermis morphology and gene expression, and nearly abolished the rexinoid-induced increase in ATRA levels. Global transcriptome analysis of dnRXRα-rafts in comparison to empty vector-transduced rafts showed that over 95% of the differentially expressed genes in rexinoid-treated rafts constitute direct or indirect ATRA-regulated genes. Thus, the biological effects of UAB30 and UAB110 are mediated through the AF-2 domain of RXRα with minimal side effects in human epidermis. As ATRA levels are known to be reduced in certain epithelial pathologies, treatment with UAB30 and UAB110 may represent a promising therapy for normalizing the endogenous ATRA concentration and signaling in epithelial tissues.

The FASER experiment at the LHC is designed to search for light, weakly-interacting particles produced in proton-proton collisions at the ATLAS interaction point that travel in the far-forward direction. The first results from a search for dark photons decaying to an electron-positron pair, using a dataset corresponding to an integrated luminosity of 27.0 fb−1 collected at centre-of-mass energy s=13.6 TeV in 2022 in LHC Run 3, are presented. No events are seen in an almost background-free analysis, yielding world-leading constraints on dark photons with couplings ϵ∼2×10−5−1×10−4 and masses ∼17 MeV−70 MeV. The analysis is also used to probe the parameter space of a massive gauge boson from a U(1)B−L model, with couplings gB−L∼5×10−6−2×10−5 and masses ∼15 MeV−40 MeV excluded for the first time.

Defects are detrimental to the performance of MoS2 field-effect transistors. Here, the origin of defects from prolonged high-field operation is attributed to long-term electrical stress in the transistor ON state, which weakens the Mo-S bonds of the original crystal.

Background and Aims: Cancer is a leading cause of mortality worldwide. Despite advancements in cancer management, cancer progression remains a challenge, requiring the development of novel therapies. Midazolam is a commonly used adjunct to anaesthesia care for various surgeries, including cancer. Recently, there has been a growing interest in exploring the potential role of midazolam as an anticancer agent; however, the exact mechanism of this linkage is yet to be investigated thoroughly. Methods: Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline, this systematic review presented aggregated evidence (till November 2022) of the effects of midazolam on cancer progression and survival. All primary research article types where midazolam was administered in vivo or in vitro on subjects with cancers were included. No restrictions were applied on routes of administration or the type of cancer under investigation. Narrative synthesis depicted qualitative findings, whereas frequencies and percentages presented numerical data. Results: Of 1720 citations, 19 studies were included in this review. All articles were preclinical studies conducted either in vitro (58%, 11/19) or both in vivo and in vitro (42%, 8/19). The most studied cancer was lung carcinoma (21%, 4/19). There are two main findings in this review. First, midazolam delays cancer progression (89%, 17/19). Second, midazolam reduces cancer cell survival (63%, 12/19). The two major mechanisms of these properties can be explained via inducing apoptosis (63%, 12/19) and inhibiting cancer cell proliferation (53%, 10/19). In addition, midazolam demonstrated antimetastatic properties via inhibition of cancer invasion (21%, 4/19), migration (26%, 5/19), or epithelial-mesenchymal transition (5%, 1/19). These anticancer properties of midazolam were demonstrated through different pathways when midazolam was used alone or in combination with traditional cancer chemotherapeutic agents. Conclusion: This systematic review highlights that midazolam has the potential to impede cancer progression and decrease cancer cell survival. Extrapolation of these results into human cancer necessitates further investigation.

Abstract Quantum communication networks pose immense potential for revolutionising secure communications for several applications such as banking, defence, etc. The majority literature on quantum networks deals with the problems of networking and resource allocation using Software Defined Networks (SDNs). SDNs, however, introduce several issues, such as app manipulation attacks and scalability issues. We propose a novel scheme of implementing quantum communication networks that are hardware routed rather than software defined by labelling qubit photons using laser communications. We provide a comprehensive implementation of the new scheme and propose two novel algorithms—Bandwidth sharing and Equitable bandwidth sharing to implement the hardware routed quantum network. The algorithms result in a key rate increase of 118% and improved network resource utilization of 147% as compared to the First Come First Serve algorithm.

Résumé Dans cette étude, nous analysons les perspectives de l’émergence économique de la RDC à l’ère de la mondialisation, pendant que l’état de celle-ci pose de problèmes de son être et de sa signification. Ce qui nous mène dans une réflexion qui se veut une attraction à l’invention d’un Etat pour la RDC, condition essentielle pour qu’elle prétende réussir sa vision de l’émergence dont parlent ses dirigeants. En tant qu’analystes politologues avérés, ne pouvons-nous permettre indéfiniment de laisser vivre l’amateurisme et le laxisme dans la vision de la conception de l’Etat. Abstract In this study, we analyze the perspectives of the economic emergence of the DRC in the era of globalization, while the state of the latter poses problems of its being and its meaning. This leads us into a reflection that aims to be an attraction to the invention of a State for the DRC, an essential condition for it to claim to succeed in its vision of emergence of which its leaders speak. As proven political analysts, can we not allow amateurism and laxity to live indefinitely in the vision of the conception of the State.

We present unusual coronary-pulmonary collaterals in a 65-year-old CTEPH patient. Perfusion mapping of a dual-energy computed tomography (DECT) study revealed areas of right lung that were minimally perfused despite unilateral occlusion of the right pulmonary artery, leading to the discovery of coronary-pulmonary collaterals via invasive coronary angiography. Pulmonary thromboendarterectomy removed the clot en-bloc. Post-surgery DECT and catheterization confirmed restoration of pulmonary arterial circulation and excellent hemodynamic response. Here, suggestion of perfusion to a proximally obstructed lung with DECT helped to document the presence of rarely documented coronary-pulmonary artery collaterals.

Background: Minor adverse event following immunizations (AEFIs) are often underreported and self-treated. This study aimed to collect information regarding any and every probable adverse event experienced by the recipient of Covishield vaccine up to 10 days following the first and second dose of vaccine. To find the incidence of minor adverse events following Covishield vaccination; draw an association between adverse events and individuals' demographic factors and comorbidities; and report new adverse events, if any. Materials and Methods: A descriptive observational study was conducted among 409 participants randomly sampled from the Vaccination Centre at a Tertiary Care Hospital, Mumbai. Participants were followed up post their first and second doses to enquire about adverse events. Results: Most commonly reported adverse events included injection site pain, tenderness, chills, fatigue, fever, and myalgia. Females reported more adverse events compared to men (p < 0.05). Younger individuals (18–24) experienced adverse events more as compared to individuals above 40 years of age (p < 0.005). Reported adverse events were lesser after the second dose in comparison with the first dose. Few participants reported dysgeusia. Conclusions: Covishield vaccination has a mild AEFI profile, most commonly: injection site pain, tenderness, chills, and fatigue. It is hoped that the findings of this study will dispel anxiety around the adverse events of vaccination and reduce any persisting vaccine hesitancy. Effective communication with the population on vaccination will enable individuals to make educated and informed decisions.

Introduction Anemia has been reported in nearly 40% of acute ischemic stroke (AIS) patients and is linked to significant morbidity and disability. The presence of anemia is associated with worse outcomes in AIS, specifically in the presence of large vessel occlusion (LVO). An optimal hemoglobin (Hb) target specific to this pathology has not yet been established. The goal of this review is to systematically review literature that observes the association that exists between AIS outcomes and hemoglobin (Hb) levels. Methods A systematic review was performed in accordance with guidelines for the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) to identify studies from 2008–2022. The following inclusion and exclusion criteria were used: studies of adult patients with AIS; must describe outcomes with regard to Hb levels in AIS (not limited to LVO); must be written in English. The clinical variables extracted included Length of Stay (LOS), modified rankin score (mRS), Hb levels, and mortality. Results A total of 1,154 studies were gathered, with 116 undergoing full text review. 31 studies were included in this review. The age of patients ranged from 61.4 to 77.8. The presence of anemia in AIS increased LOS by 1.7 days on average and these patients also have a 15.2% higher rate of mortality at one year, on average. Discussion This data suggests that the contemporary thresholds for treating anemia in AIS patients may be inadequate because anemia is strongly associated with poor outcomes (e.g., mRS>2 or mortality) and increased LOS in AIS patients. The current generalized Hb threshold for transfusion (7 g/dL) is also used in AIS patients, however, a more aggressive transfusion parameter should be further explored based on these findings. Further studies are required to confirm these findings and to determine if a more liberal RBCT threshold will result in clinical benefits.

Background and purposeAneurysmal subarachnoid hemorrhage occurs in approximately 30,000 patients annually in the United States. Uncontrolled blood pressure is a major risk factor for aneurysmal subarachnoid hemorrhage. Clinical guidelines recommend maintaining blood pressure control until definitive aneurysm securement occurs. It is unknown whether racial differences exist regarding blood pressure control and outcomes (HLOS, discharge disposition) in aneurysmal subarachnoid hemorrhage. Here, we aim to assess whether racial differences exist in 1) presentation, 2) clinical course, and 3) outcomes, including time to blood pressure stabilization, for aSAH patients at a large tertiary care medical center.MethodsWe conducted a retrospective review of adult aneurysmal subarachnoid hemorrhage cases from 2013 to 2019 at a single large tertiary medical center. Data extracted from the medical record included sex, age, race, insurance status, aneurysm location, aneurysm treatment, initial systolic and diastolic blood pressure, Hunt Hess grade, modified Fisher score, time to blood pressure control (defined as time in minutes from first blood pressure measurement to the first of three consecutive systolic blood pressure measurements under 140mmHg), hospital length of stay, and final discharge disposition.Results194 patients met inclusion criteria; 140 (72%) White and 54 (28%) Black. While White patients were more likely than Black patients to be privately insured (62.1% versus 33.3%, p < 0.001), Black patients were more likely than White patients to have Medicaid (55.6% versus 15.0%, p < 0.001). Compared to White patients, Black patients presented with a higher median systolic (165 mmHg versus 148 mmHg, p = 0.004) and diastolic (93 mmHg versus 84 mmHg, p = 0.02) blood pressure. Black patients had a longer median time to blood pressure control than White patients (200 minutes versus 90 minutes, p = 0.001). Black patients had a shorter median hospital length of stay than White patients (15 days versus 18 days, p < 0.031). There was a small but statistically significant difference in modified Fisher score between black and white patients (3.48 versus 3.17, p = 0.04).There were no significant racial differences present in sex, Hunt Hess grade, discharge disposition, complications, or need for further interventions.ConclusionBlack race was associated with higher blood pressure at presentation, longer time to blood pressure control, but shorter hospital length of stay. No racial differences were present in aneurysmal subarachnoid hemorrhage associated complications or interventions.

Streetscape design can encourage social interaction and community building, creating a sense of place and improving the overall well-being of the resident community. Detailed investigation of streetscape quantitatively can identify the opportunities to reduce energy use, improve air quality, and enhance the natural environment. Data derived from street view services are typically used to analyze the streetscape. However, the availability of street view services is limited to selected regions, because of which conducting a study for an area deprived of street view services is a challenge. Building on this gap, this study proposes a new system introduced as Urban scan to overcome the limitation. • The proposed system can capture the streetscape in 360°. • Helps to analyze the streetscape composition with the least computational effort. • The accuracy of the classification is tested with different datasets and is noted to be above 96.02%.

The identification of new tumor biomarkers for patient stratification before therapy, for monitoring of disease progression, and for characterization of tumor biology plays a crucial role in cancer research. The status of these biomarkers is mostly scored manually by a pathologist and such scores typically, do not consider the spatial heterogeneity of the protein’s expression in the tissue. Using advanced image analysis methods, marker expression can be determined quantitatively with high accuracy and reproducibility on a per-cell level. To aggregate such per-cell marker expressions on a patient level, the expression values for single cells are usually averaged for the whole tissue. However, averaging neglects the spatial heterogeneity of the marker expression in the tissue. We present two novel approaches for quantitative scoring of spatial marker expression heterogeneity. The first approach is based on a co-occurrence analysis of the marker expression in neighboring cells. The second approach accounts for the local variability of the protein’s expression by tiling the tissue with a regular grid and assigning local spatial heterogeneity phenotypes per tile. We apply our novel scores to quantify the spatial expression of four different membrane markers, i.e., HER2, CMET, CD44, and EGFR in immunohistochemically (IHC) stained tissue sections of colorectal cancer patients. We evaluate the prognostic relevance of our spatial scores in this cohort and show that the spatial heterogeneity scores clearly outperform the marker expression average as a prognostic factor (CMET: p-value=0.01 vs. p-value=0.3).