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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Measuring disparities in out of hospital cardiac arrest outcomes in Chicago community areas by Marina Del Rios, Shaveta Khosla, Joseph Weber, Pavitra Kotini-Shah, Katie Tataris, Eddie Markul, Terry Vanden Hoek

“…Methods: This is a retrospective cohort study of OHCA treated by Chicago Fire Department EMS from January 1st 2014 through December 31st 2021. …”
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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

“…Therefore, on the one hand, it is necessary to improve the performance of the two recognition methods mentioned above; on the other hand, using the complementary advantages of the two methods through multimodal fusion needs to be considered. …”
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Virtual Cities: From Digital Twins to Autonomous AI Societies by Andrey Nechesov, Ivan Dorokhov, Janne Ruponen

“…A composite fidelity metric (<inline-formula> <tex-math notation="LaTeX">$F_{0}$ </tex-math></inline-formula>) provides systematic approach to evaluate accuracy variations across applications in VCs. We also discuss autonomy of AI entities and classify them according to their capacity to modify goals&#x2014;ranging from &#x201C;tools&#x201D; with fixed objectives to &#x201C;entities&#x201D; capable of redefining their very purpose. …”
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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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A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections by Menglin Yang, Hao Yu, Pan Liu

“…Besides, the recomputing of CAV trajectories will only be conducted when the variation in predictions rises to a certain threshold, balancing efficiency and computing consumption, inspired and modified based on MPC methods. …”
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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space by Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai, Jinyuan Liu, Yanfei Wang, Hiroaki Shigemasu

“…By integrating these two cues, several types of models for depth perception are summarized: the weak fusion (WF) model, the modified weak fusion (MWF) model, the strong fusion (SF) model, and the intrinsic constraint (IC) model. …”
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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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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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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…For this purpose, a novel hybrid approach combined with multiscale dominant ingredient chaotic analysis, kernel extreme learning machine (KELM), and adaptive mutation grey wolf optimizer (AMGWO) is proposed. Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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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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Automatic Detect Incorrect Lifting Posture with the Pose Estimation Model by Gee-Sern Jison Hsu, Jie Syuan Wu, Yin-Kai Dean Huang, Chun-Chieh Chiu, Jiunn-Horng Kang

“…<b>Material and Method:</b> We recruited 50 healthy adults who participated in lifting tasks using correct and incorrect postures to build a robust dataset. …”
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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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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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Constitutive model of metal rubber material considering plastic accumulation behavior by FENG Zhipeng, YANG Fang, FU Hailong, AI Shigang, WANG Yue, YUAN Liangyang

“…Using the lsqcurvefit function in nonlinear least squares method to identify parameters for the fitting equations corresponding to loading-unloading curves, it was determined that the plastic deformation of internal metallic wires increases with the relative density. …”
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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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Cryogels with controllable physico-chemical properties as advanced delivery systems for biomedical applications by Mucong Li, Xuyan Wei, Jiaqian You, Jian Feng, Xiuyu Liu, Jing Zhou, Qianju Wu, Yidi Zhang, Yanmin Zhou

“…Consequently, cryogels modify drug release dynamics via their unique structure and integrate multiple release control mechanisms, thereby achieving spatiotemporal controlled delivery. …”
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PI Controller Design for a 5-Phase Switched Reluctance Motor with Bipolar Excitation Segmental Rotor by Erdal Büyükbıçakcı

“…The measured phase current waveforms exhibit significant overlap with the simulation results, thereby substantiating the accuracy of the mathematical model and control method. Instantaneous monitoring of quantities such as current and speed through the developed user interface reveals the satisfactory dynamic performance of the system and the reliability of the control algorithm. …”
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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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