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

“…BackgroundGlycemic variability (GV), typically quantified by the coefficient of variation (CV) and the root mean square of successive differences (rMSSD), has been recognized as a potential predictor of poor outcomes in critically ill patients. …”
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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

“…UAV-derived data were integrated with climate variables to model MPB variability and quantify diel biofilm patch dynamics. …”
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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

“…In contrast, patients with no variation or improvement in IONM signals showed significant neurological recovery.…”
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Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols by Hoondong Song, Hanjoo Jang, Jongduk Baek

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Enhancing Microgrid Protection Through Adaptive Decentralized Relay Coordination: A Solution to Blinding and Sympathetic Tripping by Sujatha Balasubramanian, J. Preetha Roselyn, Prabha Sundaravadivel

“…Integrating Distributed Energy Resources into microgrids modifies the network’s system parameters and causes it to exhibit behaviour, particularly during fault conditions. …”
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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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Construction of an evaluation indicator system for the emergency management capability of major infectious diseases in urban communities by Xiuying Guan, Wentao Li, Nan Cui, Jiacen Yu, Libin An

“…The modified Delphi method was applied to refine the third-level indicators for the evaluation system. …”
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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

“…Rare and novel genetic variation in complement genes and autoantibodies to complement proteins are commonly identified in the C3G population and thought to drive the underlying complement dysregulation that results in renal damage. …”
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The Orthotropy Effect of Underground Inclusion on the Seismic Response of Ground Surface by S. Mojtabazadeh-Hasanlouei, M. Panji, M. Kamalian

“…To account for material damping, the Barkan approach is employed to attenuate the half-space by introducing a constant logarithmic reduction into the modified boundary integral equation. This method is easily implemented in a time-domain computer code for analyzing seismic homogeneous orthotropic mediums. …”
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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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Enhancement of waste heat recovery from exhaust stack silencers in A simple cycle gas turbine by Bouria Faqihi, Fadi Ghaith

“…In this paper, a novel simple cycle gas turbine (GT) heat recovery system was modeled and evaluated through a computational method. Heat transfer channels were integrated into the existing nose and tail surfaces of the exhaust stack silencer baffles to avoid added turbine back-pressure, which is an issue with some of the existing waste heat recovery (WHR) models. …”
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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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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

“…Using these indices, false-color images are generated by combining red, green, blue, alpha channels. When integrated with a deep learning model, these images enable the remote classification of the reservoirs’ trophic state. …”
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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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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Objective Localization algorithms for underwater acoustic sensor networks typically depend on distance estimation methods, such as point-to-point distance estimation or angle estimation, to achieve node localization between nodes. …”
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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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Cost evaluation of acute ischemic stroke in Latin America: a multicentric studyResearch in context by Luiza Borba Dittrich, Ana Paula Beck da Silva Etges, Joana Siqueira de Souza, Miriam Allein Zago Marcolino, Eva Rocha, Pablo Amaya, Miguel A. Barboza, Andrés Gaye Saavedra, Gonzalo Pérez Hornos, Carlos Abanto, Ana Lucía Castillo-Soto, Natalia Llanos-Leyton, Virginia Pujol Lereis, María Soledad Rodriguez Pérez, Matías Alet, Victor Navia, Solange Lopez, Antonio Arauz, Fabiola Serrano, Bruna Chwal, Leonardo Augusto Carbonera, Raul Gomes Nogueira, Gustavo Saposnik, Carisi Anne Polanczyk, Sheila Cristina Ouriques Martins, Ana Cláudia de Souza

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