Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The models combine the adaptability of Gaussian Processes with the deep learning functionalities of RBM, LSTM, and CNN to improve prediction precision and uncertainty assessment. …”
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Evaluation and Optimization of Traditional Mountain Village Spatial Environment Performance Using Genetic and XGBoost Algorithms in the Early Design Stage—A Case Study in the Cold... by Zhixin Xu, Xiaoming Li, Bo Sun, Yueming Wen, Peipei Tang

“…As urbanization advances, rural construction and resource development in China encounter significant challenges, leading to the widespread adoption of standardized planning and design methods to manage increasing population pressure. …”
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FSSA: A Fully Serial and Mixed-Precision Systolic Array for Vision Transformer Acceleration on Edge by Iraj Moghaddasi, Byeong-Gyu Nam

“…Leading-edge studies often utilize approximate computing to improve efficiency with minimal loss of accuracy. …”
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Comprehensive analysis of cinnamoyl-CoA reductase (CCR) gene family in wheat: implications for lignin biosynthesis and stress responses by Weimin Zhan, Lianhua Cui, Ningning Song, Xinye Liu, Guanghui Guo, Yanpei Zhang

“…Our findings establish a foundation for further elucidation of TaCCR functions and offer a significant genetic resource for future wheat improvement efforts.…”
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The Hydrodynamic Performance of a Vertical-Axis Hydro Turbine with an Airfoil Designed Based on the Outline of a Sailfish by Aiping Wu, Shiming Wang, Chenglin Ding

“…This study investigates an aerodynamic optimization framework inspired by marine biological morphology, utilizing the sailfish profile as a basis for airfoil configuration. …”
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Role of community health workers in type 2 diabetes mellitus self-management: A scoping review. by Bonaventure Amandi Egbujie, Peter Arthur Delobelle, Naomi Levitt, Thandi Puoane, David Sanders, Brian van Wyk

“…<h4>Objectives</h4>This study aimed to examine how CHW have been utilized to support T2DM self-management globally, their preparation for and supervision to perform their functions.…”
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A pan-cancer analysis of the prognostic and immunological roles of zinc finger protein 514 in human tumors by Shuai Zhao, Shuai Zhao, Shuai Zhao, Lin Cheng, Xingzhao Ji, Xingzhao Ji, Shengnan Sun, Shengnan Sun, Shengnan Sun, Yi Liu, Yi Liu, Qiang Wan, Qiang Wan, Qiang Wan

“…We also used the Tumor Immune Estimation Resource 2.0 (TIMER 2.0) database to investigate the association between ZNF514 expression and immune checkpoint genes and immune infiltration. …”
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Genome-wide enhancer-gene regulatory maps of liver reveal novel regulatory mechanisms underlying NAFLD pathogenesis by Ruofan Li, Kaiyan Su, Tianzhun Wu, Li Xu, Wenyu Song, Dandan Sun, Tao Zeng, Jinzhang Chen, Haibei Xin, Yuanfeng Li, Mengya Zang, Minggen Hu

“…However, numerous GWAS signals associated with NAFLD locate in non-coding regions, posing a challenge for interpreting their functional annotation. Results In this study, we utilized the Activity-by-Contact (ABC) model to construct the enhancer-gene maps of liver by integrating epigenomic data from 15 liver tissues and cell lines. …”
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Attention-Module-Guided Time-Lapse Leakage Plume Imaging Driven by LeakInv-CUNet GPR Inversion Framework by Honghua Wang, Shan Wang, Fei Zhou, Yi Lei, Bin Zhang

“…Specifically, the training process utilizes the inversion result of GPR datasets corresponding to different leakage permittivity distributions, with feedbacks provided through functional mapping based on the Topp equation for water content distribution imaging. …”
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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

“…Traditional prediction methods for these light absorption properties, including Time-Dependent Density Functional Theory (TDDFT), are often computationally intensive and time-consuming. …”
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Obstacle Avoidance in Healthy Adults and People With Multiple Sclerosis: Preliminary fNIRS Study by Fares Al-Shargie, Michael Glassen, John DeLuca, Soha Saleh

“…Functional connectivity analysis revealed that pwMS recruited higher bilateral somatosensory association cortex (SAC) than HC, whereas healthy individuals engaged more bilateral premotor cortices (PMC). …”
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Optimizing urban energy flows: Integrative vehicle-to-building strategies and renewable energy management by Jian Hern Yeoh, Kai-Yun Lo, I-Yun Lisa Hsieh

“…The optimization tasks are handled using the Sequential Least Squares Programming (SLSQP) algorithm, which is well-suited for managing quadratic objective functions, nonlinear constraints, and bounded variables. …”
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Spontaneous deposition of Ag nanoclusters on defect-rich α-Co(OH)2 for high-rate performance supercapacitor by Qing Wang, Zitao Yang, Zehui Yu, Fan Yang, Sanghwa Yoon, Bongyoung Yoo

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Enzyme-sequential responsive core-satellite nanomedicine enables activatable near-infrared-II photoacoustic imaging-guided chemotherapy cascade-enhanced radiotherapy by Wenjing Xiao, Xiao Yang, Mengzhen Wang, Zeyu Jiang, Heyi Zhang, Mengqing Gong, Lin Zhao, Jibin Song, Qinrui Fu

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Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

“…IntroductionCurrent preoperative exam guidelines utilize extensive lab tests, including blood tests and urine analysis, which are crucial for assessing surgical readiness. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Secondary outcomes included patient self-reported measures of BMI and eating psychopathology, visual analogue scale measuring motivation and ability to recover; psychosocial functioning (assessed using the Work and Social Adjustment Scale). …”
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Integration of multi-omics quantitative trait loci evidence reveals novel susceptibility genes for Alzheimer’s disease by Jinyang Gao, Xiaochan Bi, Wenjing Jiang, Yanqing Wang

“…By identifying multiple candidate targets and regulatory axes, our findings offer a valuable resource for prioritizing genes for functional validation and advancing future therapeutic development.…”
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Feasibility Study of Waste Rock Wool Fiber as Asphalt Mixture Additive: Performance Test and Environmental Effect Analysis by Bingjian Zeng, Ni Wan, Sipeng Zhang, Xiaohua Yu, Zhen Zhang, Jiawu Chen, Bin Lei

“…To investigate the feasibility of utilizing waste rock wool fiber as an additive in asphalt mixtures for resource recycling, this study evaluates and analyzes the performance of asphalt and asphalt mixtures, as well as their environmental benefits. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…This makes the proposed model particularly suitable for deployment in resource-limited environments, providing an efficient and effective tool for agrochemical compound classification in diverse environmental and food matrices.…”
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Subtype cluster analysis unveiled the correlation between m6A- and cuproptosis-related lncRNAs and the prognosis, immune microenvironment, and treatment sensitivity of esophageal c... by Ming Zhang, Yani Su, Pengfei Wen, Xiaolong Shao, Peng Yang, Peng An, Wensen Jing, Lin Liu, Zhi Yang, Mingyi Yang

“…Data on 23 m6A regulators and 25 cuproptosis-related genes were sourced from the latest literature. The m6aCRLncs linked to EC were identified through co-expression analysis. …”
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