Innovative solutions for sustainable space heating: Integrating solar air heaters and low-cost retrofitting windows for hilly region of Kashmir by Ahmed Sharique Anees, Salman Ahmad, Rayes Ahmad Lone, Zahoor Ahmad Ganie

“…Due to unreliable power supply, traditional heating methods such as gas heaters, wood fires, or Kangri's are often relied upon, despite their adverse health and environmental impacts due to emissions of toxic gases. …”
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Targeting Sepsis: Disease Tolerance, Immune Resilience, and Compartmentalized Immunity by Alexis Garduno, Ignacio Martín-Loeches

“…Despite advances in understanding its complex immunopathology, the compartmentalized nature of immune responses across different organs has yet to be fully translated into targeted therapies. …”
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CORPORATIZATION OF RAILWAY INFRASTRUCTURE IN UKRAINE, POLAND, AND KAZAKHSTAN: A COMPARATIVE ANALYSIS OF MODELS AND OUTCOMES by Igor Dunayev, Serhii Hromov

“…The research is based on a combination of historical and comparative methods. The authors provide a retrospective analysis of the corporatization process of JSC "Ukrzaliznytsia," identifying its main stages and outcomes. …”
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Three-color single-molecule localization microscopy in chromatin by Nicolas Acosta, Ruyi Gong, Yuanzhe Su, Jane Frederick, Karla I. Medina, Wing Shun Li, Kiana Mohammadian, Luay Almassalha, Geng Wang, Vadim Backman

“…Single molecule localization microscopy (SMLM) methods, such as STORM, are essential for studying chromatin at the supra-nucleosome level due to their ability to target epigenetic marks that determine chromatin organization. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Various techniques like feature selection and dimensionality reduction are explored to improve classification accuracy while minimizing bias. Different machine learning (ML) algorithms, including traditional and ensemble methods, are employed for analyzing both imbalanced and balanced HRV datasets. …”
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Preparation and Characterization of D-Carvone-Doped Chitosan–Gelatin Bifunctional (Antioxidant and Antibacterial Properties) Film and Its Application in Xinjiang Ramen by Cong Zhang, Kai Jiang, Yilin Lin, Rui Cui, Hong Wu

“…In the future, the composite film can be further optimized, and the effect of flavor can be further explored to meet the needs of different food preservation methods.…”
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Effectiveness of generative AI-large language models’ recognition of veteran suicide risk: a comparison with human mental health providers using a risk stratification model by Sean A. Lauderdale, Randee Schmitt, Breanna Wuckovich, Natashaa Dalal, Hela Desai, Shealyn Tomlinson

“…Machine learning has been predominantly utilized, but the application of generative AI-large language models (GAI-LLMs) remains unexplored.ObjectiveThis study evaluates the effectiveness of GAI-LLMs, specifically ChatGPT-3.5, ChatGPT-4o, and Google Gemini, in using the VHA’s Risk Stratification Table for identifying suicide risks and making treatment recommendations in response to standardized veteran vignettes.MethodsWe compared the GAI-LLMs’ assessments and recommendations for both acute and chronic suicide risks to evaluations by mental health care providers (MHCPs). …”
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Balancing physical development and health in adolescents through controlled High-Intensity Training by Stanislav Lazarev, Iryna Kryventsova, Vasyl Lutskyi

“…This suggests a nuanced understanding of how such programs can be optimized for different genders to enhance physical education outcomes.…”
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Pharmacotherapy of Psychotic Disorders in Türkiye: Insights From a National Prescription Database by Sena Türkeş, Aybeniz Civan Kahve, Taner Çin, Esra Şafak Yılmaz, Hakkı Gürsöz, Süreyya Barun

“…Although antipsychotic medications represent the mainstay of treatment, prescribing practices can vary based on patient characteristics and across different countries. Currently, national epidemiological data on psychotropic prescribing patterns in Türkiye are lacking, and understanding these variations is crucial for informing treatment guidelines and optimizing patient care. …”
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Examining the global warming potential of hempcrete in the United States: A cradle-to-gate life cycle assessment by Sejal Sanjay Shanbhag, Manish K. Dixit, Petros Sideris

“…Hempcrete being increasingly incorporated into both conventional and cutting-edge construction methods such as large-scale 3D printing is recognized as a carbon-negative material due to sequestered carbon in its constituent materials. …”
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Simultaneous detection of Listeria monocytogenes and pathogenic Vibrio by dual peptide nucleic acid fluorescence in situ hybridization by WU Shan, LI Ke, FANG Yun, LOU Chengjie, YU Huizhen, ZHANG Mingzhe, SHUAI Jiangbing, ZHANG Xiaofeng

“…Based on the singlet PNA probe for detection of L. monocytogenes and Vibrio, respectively, by labeling different fluorescent dyes to the specific PNA probes, the PNA-FISH procedure for simultaneous detection of L. monocytogenes and Vibrio was optimized. …”
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Infection Control-Based Construction of a Fever Outpatient Routine Management Model by Jingsong Wang, Zhen Tao, Kai Zhang, Shuai Wang

“…In order to improve the efficiency of fever clinic screening, timely detection and control of infection sources, early detection, early isolation, and early treatment, our hospital explored the construction and effect of our fever clinic management model during the response period by constructing a fever clinic regular management model based on the principles of infection control. Methods. 1300 cases (September 2021 to February 2022) with or without epidemiological history were divided into the control group (without epidemiological history) and the observation group (with epidemiological history) and patients were given differentiated management. …”
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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI by Danjie Wang, Qingguo Wei

“…These results are superior to those of the current state-of-the-art methods. The SMANet is capable to effectively decoding the spatial-spectral-temporal information of EEG signals, thereby enhancing the performance of MI-BCIs.…”
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The Effect of Task Cognitive Difficulty on Perceptual-Cognitive Indicators: Evidence on the Relationship Between Challenge Point Framework (CPF) and Cognitive Development in Table... by Taghi MM, Aghdaei M, Farsi A, Badicu G, de Sousa Fernandes MS, Yagin FH, Ardigò LP

“…The aim of this study is to investigate the effect of different levels of work difficulty on cognitive-perceptual indicators in table tennis beginners.Methods: Forty-two female beginners in table tennis (ages 20– 35) were divided into high, moderate, low task difficulty, and control groups based on pre-test scores of attention networks. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…The data is reusable in studies focused on enhancing the resilience of SoC and SoH estimation methods, as well as in developing robust defensive strategies against smart DRL-based adversarial attacks.…”
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Enhancing grid-connected PV-EV charging station performance through a real-time dynamic power management using model predictive control by Aziz Watil, Hamid Chojaa

“…Semi-experimental simulations using a process-in-the-loop (PIL) test approach with the embedded board eZdsp TMS320F28335 demonstrate that the station manager significantly improves performance over conventional methods under various irradiance levels. Moreover, numerical results demonstrate the superiority of the proposed MPC-based approach over traditional controllers such as Proportional-Integral-Derivative (PID) and Sliding Mode Control (SMC) in different charging modes. …”
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Cloud model for risk monitoring of mining electric traction rubber-wheel vehicles by Yuran ZHANG, Yuan YAO, Shu WANG, Mingrong ZENG, Longzhe JIN

“…In order to effectively monitor the risk status of electric traction rubber-wheel vehicles in mining environments, a comprehensive approach was developed by integrating relevant standards, literature research findings, and existing monitoring methods. This approach clarifies the path of risk evolution, selects appropriate monitoring indicators, determines low, medium and high-risk evaluation domains, and establishes a rating index system for assessing risks. …”
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Site Selection Analysis and Prediction of New Retail Stores from an Urban Commercial Space Perspective: A Case Study of Luckin Coffee and Starbucks in Shanghai by Zhengxu Zhao, Gang Chen, Jianshu Duan, Youheng Xu

“…This study not only focuses on commercial optimization but also offers theoretical and methodological insights by exploring how different retail models interact with urban spatial structures, thereby contributing to the fields of retail geography and spatial governance.…”
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Residual Oil Distribution Pattern in a Fault-Solution Carbonate Reservoir and Countermeasures to Improve Oil Development Effectiveness by Peiliang Liu, Lin Jiang, Bochao Tang, Ke Ren, Mina Huang, Chunying Geng

“…Because of the strong random distribution of fractures and caves, fault-solution carbonate reservoirs exhibit significantly different flow mechanisms and development methods from conventional carbonate reservoirs. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Cross-validation and feature selection methods were used to optimize model performance and identify key variables that most significantly impact soil resistivity. …”
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