Attention-driven hybrid deep learning and SVM model for early Alzheimer’s diagnosis using neuroimaging fusion by Arjun Kidavunil Paduvilan, Godlin Atlas Lawrence Livingston, Sampath Kumar Kuppuchamy, Rajesh Kumar Dhanaraj, Muthuvel Subramanian, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…The proposed method significantly outperforms existing techniques across metrics like accuracy, sensitivity, specificity, and computational efficiency, achieving an overall accuracy of 98.5%.…”
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Flow topology and thermal mechanism in turbulent channel flow with tapered V-shaped baffles by Somchai Sripattanapipat, Naman Jain, Suvanjan Bhattacharyya, Varesa Chuwattanakul, Paisarn Naphon, Smith Eiamsa-ard

“…The simulations are performed using the finite volume method in conjunction with the SIMPLE algorithm, and the Generalized k-ω (GEKO) turbulence model is employed to capture the flow dynamics. …”
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A comparison study and multi-objective optimization of a DICI engine fueled with petroleum diesel and Fischer-Tropsch diesel by Panpan Cai, Zheng Jing, Chunhua Zhang, Bing Han, Gang Li, Wenlong Song

“…These models are fully verified for reproducibility and generalization ability. Subsequently, non-dominated sorting genetic algorithm (NSGA-II) is applied to realize multi-objective optimization of fuel economy and emissions. …”
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Responses of Chukrasia tabularis seedling growth and physiological characteristics to drought stress by Hongting QUAN, Jieyi ZHU, Fengling LONG, Qian ZHAO, Daoming WU, Shucai ZENG

“…The contents of soluble protein and malondialdehyde (MDA), as well as the activities of peroxidase (POD) and superoxide dismutase (SOD) in all drought treatment groups were not significantly different from those in the control.ConclusionA field water capacity of 65%−70% facilitates root growth, biomass accumulation, and enhances photosynthetic efficiency in C. tabularis seedlings, indicating that appropriate drought is generally advantageous for the growth of C. tabularis seedlings.…”
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Optimizing Stroke Recognition With MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis by Reshad Ul Karim, Sammam Mahdi, Abrar Samin, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

“…This results in a more stable and generalized model with improved diagnostic accuracy, as demonstrated by its 94.75% accuracy, than any individual model’s performance. …”
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Prospective use of bacteriocinogenic Pediococcus pentosaceus as direct-fed microbial having methane reducing potential by Sanjay Kumar, Sumit S Dagar, Seyed H Ebrahimi, Ravinder K Malik, Ramesh C Upadhyay, Anil K Puniya

“…Direct-fed microbials (DFM), generally regarded as safe status, are successfully used in improving rumen ecology, gastro-intestinal health, feed efficiency, milk production and growth rate in ruminants. …”
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A deep learning model to predict dose distributions for breast cancer radiotherapy by Xiaorong Hou, Weishi Cheng, Jing Shen, Hui Guan, Yimeng Zhang, Lu Bai, Shaobin Wang, Zhikai Liu

“…The performance and generalization ability of this model were evaluated by the voxel mean absolute error (MAE), several clinically relevant dosimetric indexes and 3D gamma passing rates. …”
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Laser Cutting of Titanium Alloy Plates: A Review of Processing, Microstructure, and Mechanical Properties by Ya Zhang, Chunyu Wang, Wentao Xu, Xianfeng Zhang, Kerong Ren, Shuai Wang, Qing Hua

“…Argon-assisted cutting generally results in better surface quality. Due to the rapid temperature change, the titanium alloy microstructure will undergo a non-diffusive martensitic phase transformation during laser cutting, producing a heat-affected zone. …”
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Application of active learning technique in recognition of diagenetic facies of Mesozoic buried-hill clastic rock reservoirs in Chengdao-Zhuanghai area by ZHANG Pengfei, QIN Feng, WU Songbai, SUN Yaoting, LIU Ruijuan, ZHANG Liqiang, YAN Yiming, MENG Yuan

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Viral replication modulated by hallmark conformational ensembles: how AlphaFold-predicted features of RdRp folding dynamics combined with intrinsic disorder-mediated function enabl... by Rachid Tahzima, Rachid Tahzima, Rachid Tahzima, Rachid Tahzima, Justine Charon, Adrian Diaz, Kris De Jonghe, Sebastien Massart, Thierry Michon, Wim Vranken, Wim Vranken, Wim Vranken, Wim Vranken

“…Typical structural models of RdRps are conversely generally agnostic of multiple conformations and their fluctuations, whether derived from protein structure predictors or from experimentally resolved structures from crystal states or dynamic conformer sets. …”
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SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation by Fan Zhang, Yifang Luo, Bohua Li, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

“…Trained on a data set of 25,689 numerically generated solutions, SageNet allows accurate reconstructions of Ω _GW ( f ) and generalizes well to a wide range of cosmological parameters; 90.9% of the test emulations with randomly distributed parameters exhibit errors of under 4%. …”
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ADMET evaluation in drug discovery: 21. Application and industrial validation of machine learning algorithms for Caco-2 permeability prediction by Dong Wang, Jieyu Jin, Guqin Shi, Jingxiao Bao, Zheng Wang, Shimeng Li, Peichen Pan, Dan Li, Yu Kang, Tingjun Hou

“…The results indicated that XGBoost generally provided better predictions than comparable models for the test sets. …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The findings support the integration of these advanced predictive tools in clinical settings to better guide decision making for patients and families, tailor rehabilitation plans, allocate resources efficiently, and ultimately improve patient outcomes.…”
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The greener, the richer, the happier?——Spatial distribution and coupling analysis of urban green space and residents’ emotion based on social media data by Zexun Li, Lihui Hu, Alin Lin, Jiarui Chen, Yue Xu

“…Research on the traditional correlation between urban green spaces and residents’ emotions has been constrained by limited individual sample sizes, resulting in a generally narrow research scope and a relatively homogeneous set of factors considered. …”
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Integrating a Virtual ICU with Cardiac and Cardiovascular ICUs: Managing the Needs of a Complex and High-Acuity Specialty ICU Cohort by Atiya Dhala, Mario V Fusaro, Faisal Uddin, Divina Tuazon, Steven Klahn, Roberta Schwartz, Farzan Sasangohar, Jefferson Alegria, Faisal Masud

“…Due to their complex and high-acuity nature, cardiac, cardiovascular, and cardiothoracic intensive care units (ICUs) have generally been limited in their ability to leverage tele-critical care resources. …”
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Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration by Pouya Taghipour, Eric Granger, Yves Blaquiere

“…Furthermore, various models are proposed to fuse features and knowledge in joint, sequential, and parallel learning architectures, aiming to improve the overall accuracy and generalization in predicting QoR and approximating the Pareto frontier (PF). …”
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Effect of coating phosphorus with humic acids and micronutrients on yield of soybean and maize in succession by M.O.T. de Ávila, S.G. Moreira, F.R.D. Lima, G.V. Pimentel, J.R. Macedo, M.R. Nunes, L.B.W. Gomes, E.G. Morais

“…The increasing the efficiency of phosphate and micronutrient fertilization in tropical soils should be better studied to close crop yield gaps. …”
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Impacts of Natural Organic Matter and Dissolved Solids on Fluoride Retention of Polyelectrolyte Multilayer-Based Hollow Fiber Nanofiltration Membranes by Hussein Abuelgasim, Nada Nasri, Martin Futterlieb, Radhia Souissi, Fouad Souissi, Stefan Panglisch, Ibrahim M. A. ElSherbiny

“…Feed salinity was shown to significantly affect separation efficiency, with PEC layers undergoing swelling and certain structural changes as the ionic strength increased. …”
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Pressure-Induced Assembly of Organic Phase-Change Materials Hybridized with Expanded Graphite and Carbon Nanotubes for Direct Solar Thermal Harvesting and Thermoelectric Conversion by Jie Ji, Yizhe Liu, Xiaoxiang Li, Yangzhe Xu, Ting Hu, Zhengzheng Li, Peng Tao, Tao Deng

“…Direct harvesting of abundant solar thermal energy within organic phase-change materials (PCMs) has emerged as a promising way to overcome the intermittency of renewable solar energy and pursue high-efficiency heating-related applications. Organic PCMs, however, generally suffer from several common shortcomings including melting-induced leakage, poor solar absorption, and low thermal conductivity. …”
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SARS-CoV-2 XBB.1.5 infects wild-type C57BL/6 mice and induces a protective CD4+ T cell response required for viral clearance by Amany Elsharkawy, Amany Elsharkawy, Chinonye Dim, Chinonye Dim, Chunyu Ge, Lila D. Patterson, Zainab Nabi, Mukesh Kumar, Mukesh Kumar

“…Standard C57BL/6 mice are generally resistant to infection with the ancestral SARS-CoV-2 strain due to inefficient binding of the viral spike protein to the murine angiotensin-converting enzyme 2 (ACE2) receptor. …”
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