Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller by Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman

“…However, under external disturbances and parameters variation, the speed regulator performance may degrade. …”
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Remote Sensing and Machine Learning for Eutrophication Detection: Assessing the Trophic State in Reservoirs Using Multispectral Indices and Deep Learning by Ruben Usamentiaga, Jose Sal, Pelayo Elvira

“…To address this limitation, remote sensing techniques are proposed as an alternative method to assess trophic states. In this study, satellite imagery is utilized to monitor 20 reservoirs from 2017 to 2024, resulting in a dataset of 496 images paired with corresponding in situ measurements. …”
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A model for preliminary cost estimation in buildings construction projects by Hassanean S. H. Jassim, Musaab F. Hasan, Mohammed J. Altaee, Yaser Gamil

“…Despite recent rapid developments in computer programs used to improve buildings construction sector cost estimation techniques, costing models utilizable in a building construction project’s early planning stages remain scarce due to the lack of a simplified, integrated method that can operate with the limited data available. …”
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‘Nous fêterons’ or ‘On va fêter’? by Valerie Hekkel, Friederike Schulz, Marta Lupica Spagnolo

“…These findings highlight the potential and limitations of current LLMs in capturing age-specific variation while encouraging further integration of sociolinguistic methods into LLM research. …”
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Research on Climate Drivers of Ecosystem Services’ Value Loss Offset in the Qinghai–Tibet Plateau Based on Explainable Deep Learning by Wenshu Liu, Chang You, Jingbiao Yang

“…To address these challenges, this study focuses on the QTP and employs a modified ESV loss deviation model, integrated with explainable deep learning techniques (LSTM-SHAP), to quantify and analyze ESV loss deviations and their climate drivers from 1990 to 2030. …”
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Mathematical modelling of cerebral haemodynamics and their effects on ICP by Ka Hing Chu, Ihsane Olakorede, Erta Beqiri, Marek Czosnyka, Peter Smielewski

“…Introduction: Electrical-equivalence mathematical models that integrate vascular and cerebrospinal fluid (CSF) compartments perform well in simulations of dynamic cerebrovascular variations and their transient effects on intracranial pressure (ICP). …”
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Enhancing curve smoothness with whale optimization algorithm in positivity and monotonicity-preserving interpolation by Salwa Syazwani Mahzir, Md Yushalify Misro

“…This study integrated a metaheuristic optimization method, specifically the whale optimization algorithm (WOA), to enhance the positivity and monotonicity-preserving interpolation methods by optimizing the free shape parameter. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…The proposed model achieves the highest mF1 scores of 92.25% and 89.88%, along with the lowest CV values of 0.0445 and 0.0574, respectively, outperforming state-of-the-art methods. These innovations underscore the potential of HRUMamba in advancing high-resolution land cover classification in imbalanced datasets.…”
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Remote Sensing-Based Assessment of Evapotranspiration Patterns in a UNESCO World Heritage Site Under Increasing Water Competition by Maria C. Moyano, Monica Garcia, Luis Juana, Laura Recuero, Lucia Tornos, Joshua B. Fisher, Néstor Fernández, Alicia Palacios-Orueta

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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Specifically, we 1) describe how local consensus discussions are operationalised; 2) identify what guides decision making and consensus between clinicians; and 3) formulate explanatory mechanisms and identify determinants that facilitate consensus discussions. Methods A qualitative, modified grounded theory study was conducted in one private hospital in metropolitan Sydney, Australia. …”
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Association between the postoperative glycemic variability and mortality after craniotomy: a retrospective cohort study and development of a mortality prediction model by Yuanshuo Ge, Guangdong Wang, Yun Huang, Yaxin Zhang

“…This study investigated the association between postoperative GV and mortality following craniotomy.MethodsWe retrospectively analyzed 1,969 adult ICU patients who underwent cranial surgery. …”
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Uncovering intra-daily intertidal biofilm dynamics in a shorebird foraging hotspot with hourly UAV multispectral imagery acquisitions by Tristan J. Douglas, Nicholas C. Coops, Mark C. Drever, Brian P.V. Hunt, Tara G. Martin, Robert W. Elner

“…Understanding these dynamics requires high-resolution monitoring, yet traditional methods, including sediment sampling and satellite imagery, lack the necessary spatial and temporal precision. …”
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Automatic Endoscopic Navigation for Monocular Depth and Ego-Motion Estimation in Wireless Capsule Endoscopy Through Transformer Network by Junjun Huang, Tianran He, Juan Xu, Weiting Wu, Wei Wu

“…To address these issues, we introduce a novel self-supervised neural network framework that integrates a dual-attention mechanism within a modified ResNet. …”
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Correlation of Intraoperative Neuromonitoring (IONM) Signal Changes with Clinical Outcomes in Patients with Compressive Cervical Myelopathy: A Prospective Study by Saumyajit Basu, Aditya Vardhan Guduru, Vikas Hanasoge, Piyush Joshi, Trinanjan Sarangi, Suraj Chakroborthy

“…Materials and Methods: The study included 58 patients with cervical compressive myelopathy who underwent decompression and fusion surgery under IONM guidance. …”
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Development of indicator system for early warning of clinical nursing critical values in general wards: a Delphi study by Weixin Xiong, Fenglan Xie, Qin Li, Ying Chen, Hongmei Yang, Jieli Wu, Jianying Li, Zhihao Chen, Xiaoqin Hu, Lijing Hu

“…There remains a lack of consensus regarding early warning systems for critical nursing values in general wards, along with a shortage of effective and practical quantitative indicators for nursing risk prevention. Methods This study employed an integrative research approach combining literature review, theoretical analysis, and qualitative methodology. …”
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Defining Nephritic Factors as Diverse Drivers of Systemic Complement Dysregulation in C3 Glomerulopathy by Jill J. Hauer, Yuzhou Zhang, Renee Goodfellow, Amanda Taylor, Nicole C. Meyer, Sarah Roberts, Dingwu Shao, Lauren Fergus, Nicolo Ghiringhelli Borsa, Monica Hall, Carla M. Nester, Richard J.H. Smith

“…However, disease heterogeneity and rarity make accurately defining characteristics of the C3G population difficult. Methods: Here, we present a retrospective analysis of the Molecular Otolaryngology and Renal Research Laboratories C3G cohort. …”
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Investigation of a chest radiograph-based deep learning model to identify an imaging biomarker for malnutrition in older adults by Ryo Sasaki, Yasuhiko Nakao, Fumihiro Mawatari, Takahito Nishihara, Masafumi Haraguchi, Masanori Fukushima, Ryu Sasaki, Satoshi Miuma, Hisamitsu Miyaaki, Kazuhiko Nakao

“…It is anticipated that AI will be integrated into the NST workflow in the future.…”
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Stigma toward mental illness: A comparative analysis among medical and nursing students in two centers in Telangana, India by Md. Adil Faizan, V. Murali Krishna, Tialam Gautham, Govindappagari Venkata Jithendra

“…Materials and Methods: A cross-sectional study was conducted with 827 students from private medical college (Khammam) and government medical college (Warangal). …”
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Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score. by Rahul S Desikan, Chun Chieh Fan, Yunpeng Wang, Andrew J Schork, Howard J Cabral, L Adrienne Cupples, Wesley K Thompson, Lilah Besser, Walter A Kukull, Dominic Holland, Chi-Hua Chen, James B Brewer, David S Karow, Karolina Kauppi, Aree Witoelar, Celeste M Karch, Luke W Bonham, Jennifer S Yokoyama, Howard J Rosen, Bruce L Miller, William P Dillon, David M Wilson, Christopher P Hess, Margaret Pericak-Vance, Jonathan L Haines, Lindsay A Farrer, Richard Mayeux, John Hardy, Alison M Goate, Bradley T Hyman, Gerard D Schellenberg, Linda K McEvoy, Ole A Andreassen, Anders M Dale

“…Within the cohorts studied here, polygenic architecture plays an important role in modifying AD risk beyond APOE. With thorough validation, quantification of inherited genetic variation may prove useful for stratifying AD risk and as an enrichment strategy in therapeutic trials.…”
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Study on the Thermal Performance of Inner and Outer Wall Surfaces Based on FDM-ATSCM by Li Honglian, Cao Wenhui, Jiang Suwan, Sun Yinghao, Zhu Xinrong

“…Accordingly, this study proposes the FDM-ATSCM model to enhance the numerical accuracy of wall surface temperature analysis while improving computational efficiency.MethodsTraditional finite difference methods (FDM) can accurately capture heat transfer in walls by discretizing the partial differential equations of conduction. …”
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