Parametric Optimization Approach to Evaluate Dynamic Shading Within Double-Skin Insulated Glazed Units for Multi-Criteria Daylighting Performance in Tropics by Ali Ahmed Bahdad, Nooriati Taib, Fahad Saud Allahaim, Ali Mohammed Ajlan

“…The research framework has developed a multi-objective optimization method to achieve research objectives via optimizing two different scenarios of the proposed system. …”
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Simulation of slope soil erosion intensity with different vegetation patterns based on cellular automata model by Yan Sheng, Shangxuan Zhang, Long Li, Long Li, Zhiming Cao, Yu Zhang

“…This study focuses on the slopes of three planting patterns (uniform distribution, aggregation distribution, and random distribution), along with bare slopes, in the Baojiagou watershed of the Pisha Sandstone area, based on soil erosion intensity grade maps after rainfall from 2021 to 2023.MethodsA method combining Multi-Criteria Evaluation (MCE) and the CA-Markov model is used to analyze the spatial variation of soil erosion intensity types on different slopes. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…First, we replace the random initialization method of the population in the SSA with Circle mapping to enhance its diversity and quality. …”
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A qualitative analysis on the implementation of a nudge intervention to reduce post-surgical opioid prescribing by Meghan C. Martinez, Kathryn Bouskill, Xiaowei Sherry Yan, Allison Kirkegaard, Jason N. Doctor, Katherine E. Watkins

“…We describe contextual factors affecting the implementation and outcomes of a successful email ‘nudge’ aimed at reducing post-operative opioid prescribing, with the goal of informing future implementation and dissemination efforts. Methods Between October 2021-September 2022, we sent email nudges to general, orthopedic, and obstetrics/gynecology surgeons at 19 hospitals in a large integrated healthcare system in California whose patients had post-operative opioid prescriptions that exceeded guideline-recommended quantities. …”
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Ecological zone construction and multi-scenario simulation in Western China combining landscape ecological risk and ecosystem service value by Zihao Wang, Bing Wang, Yufei Zhang, Rula Sa, Qiuliang Zhang, Shuai Hao

“…This study focused on Hohhot, a typical western city, to analyze the spatiotemporal evolution of its ecosystem service value (ESV) and landscape ecological risk (LER) from 2000 to 2020 using value-equivalence and landscape ecology methods. The Z-score method was employed to delineate ecological zones, and the PLUS model was used to predict the ecological zoning patterns under four scenarios for 2040. …”
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Hyperspectral Imaging for the Dynamic Mapping of Total Phenolic and Flavonoid Contents in Microgreens by Pawita Boonrat, Manish Patel, Panuwat Pengphorm, Preeyabhorn Detarun, Chalongrat Daengngam

“…Dimensionality reduction via principal component analysis (PCA) proved effective for TPC and TFC prediction, with PC1 alone achieving performance comparable to the full spectral dataset. This integrated HSI-ML approach offers a non-destructive, real-time method for monitoring bioactive compounds, supporting sustainable agricultural practices, optimising harvest timing, and enhancing crop management. …”
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Research on Spatial Distribution, Accessibility and Resource Equity of Compulsory Education Schools in Megacities: A Case Study of Wuhan by Wei Ping, Huang Jing, Yan Jiaqin, He Sanwei

“…This study uses Wuhan, a central Chinese megacity, as a case. Integrating Point of Interest data of primary and secondary schools, educational resources, road network information, this study uses GIS methodologies, such as the nearest neighbor index, coefficient of variation, kernel density analysis, service area network analysis, and an improved 2SFCA method to evaluate the spatial distribution characteristics of compulsory education resources in Wuhan and the accessibility and resource distribution equilibrium across districts. …”
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Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction by Wenxu Lv, Yancang Wang, Huiqiong Cao, Peng Cheng, Xiaohe Gu, Zhuoran Ma, Mengjie Li, Ruiyin Tang, Qichao Zhao, Xuqing Li, Lan Zhang, Shuaifei Liu

“…However, the stability of models in different periods—such as those affected by seasonal variations and environmental condition changes—is the key factor affecting their application. …”
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Evaluating the Environmental Impact: A Multisensor Remote Sensing Approach for Spatial and Temporal Analysis by Bin Zhu, Ahsen Maqsoom, Lapyote Prasittisopin, Chaudhary Danyal Aslam, Umer Khalil, Sahar Zia, Niamat Ullah, M. Abdullah-Al-Wadud, Nazih Yacer Rebouh

“…This study's method for quantifying highway system disturbances' spatial and temporal changes and subsequent recovery can be easily extended to different geographical areas.…”
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Genotyping TOMM40′523 poly-T polymorphisms using whole-genome sequencing by Ricardo A. Vialle, Lei Yu, Yan Li, Roberto T. Raittz, Jose M. Farfel, Philip L. De Jager, Julie A. Schneider, Lisa L. Barnes, Shinya Tasaki, David A. Bennett

“…We introduce a computational pipeline that integrates multiple short tandem repeat (STR) detection tools in an ensemble machine learning model using XGBoost. …”
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Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens by Cheng Han, Shiying Lu, Pan Hu, Jiang Chang, Deying Zou, Feng Li, Yansong Li, Qiang Lu, Honglin Ren

“…Abstract Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. …”
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Optimum Selection of Lithium Iron Phosphate Battery Cells for Electric Vehicles by Arda Akyildiz, Bati E. Ergun, Ege Uzun, Mustafa A. Zehir, Cavit F. Kucuktezcan, Ilhan Kocaarslan, Mehmet O. Gulbahce

“…In order to ensure a fair assessment, the model accounts for variations in battery pack weight as the sole influencing factor on vehicle dynamics. …”
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Numerical investigation of oscillating jet film cooling on a flat plate for enhanced thermal management in high-temperature turbine applications by Abdalazeem Adam, Weifeng He, Pengfei Su, Dong Han, Chen Wang, Shuo Dai, Omer Musa

“…Jet film cooling is essential for ensuring the thermal integrity of turbine blades in high-temperature environments. …”
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Causal associations between liver function biomarkers and prostate cancer risk in European and East Asian populations: a univariate, multivariable, and bidirectional Mendelian Rand... by Xinyu Xu, Wenjing Zhu, Yu Peng

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Decoration of Mg/Fe layered double hydroxides on coffee waste biochars for enhanced adsorption and selectivity of phosphate ions: Mechanistic studies by Jaegwan Shin, Hojung Rho, Yeonjung Cho, Jinwoo Kwak, Changgil Son, Sangwon Kim, Seohyun Ki, Yong-Gu Lee, Hee-Joong Kim, Sang-Ho Lee, Yongeun Park, Kangmin Chon

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Spatiotemporal Soil Moisture Prediction Using a Causal-Guided Deep Learning Model by Tingtao Wu, Lei Xu, Ziwei Pan, Ruinan Cai, Jin Dai, Shuang Yang, Xihao Zhang, Xi Zhang, Nengcheng Chen

“…This article proposes a spatiotemporal prediction framework that integrates causal inference with deep learning, termed the causal-guided spatiotemporal Swin transformer (Causal ST-SwinT). …”
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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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In vivo kinematic study of lumbar center of rotation under different loads by Zhenyu Li, Ziwen Liu, Yuming Yang, Zepei Zhang, Lin Meng, Jun Miao

“…Abstract Background Dual fluoroscopic imaging system (DFIS) was employed to identify the Center of Rotation(COR) in the lower lumbar spine and determine its relationship with weight bearing. Methods In this study, twenty participants were recruited. …”
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Enhancing radiomics robustness using bayesian penalized likelihood PET reconstruction: application to Phantom and non-small cell lung cancer patient studies by Zahra Valibeiglou, Jalil Pirayesh Islamian, Yunus Soleymani, Saeed Farzanehfar, Farahnaz Aghahosseini, Neda Gilani, Arman Rahmim, Peyman Sheikhzadeh

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Repeatability and genetic parameters for phenotypes of methane emission in crossbred beef × dairy slaughter calves by K.K. Johansen, M. Kargo, O.F. Christensen, M. Bjerring, P. Løvendahl, A.J. Buitenhuis

“…To incorporate CH4 reduction into breeding objectives, it is essential to accurately measure related traits and phenotypes in a sufficient number of animals to capture genetic variation. This paper will outline a method for phenotyping CH4 in growing beef × dairy calves using a sniffer system, while also integrating growth and feed intake data. …”
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