A comprehensive study on methylene blue removal via polymer and protein nanoparticle adsorbents by Ali Fathi, Esrafil Asgari, Hossein Danafar, Hafezeh salehabadi, Mehran Mohammadian Fazli

“…This study comprised both theoretical and experimental phases. Initially, computer simulations were utilized to evaluate the interaction between methylene blue and three selected nanoparticles, ultimately choosing Bovine Serum Albumin protein nanoadsorbent based on energy considerations. …”
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HRR-Based Calibration of an FDS Model for Office Fire Simulations Using Full-Scale Wood Crib Experiments by Iulian-Cristian Ene, Vlad Iordache, Mihai Dima, Ion Anghel

“…This study deals with the simulation of office fires by combining large-scale experiments with nine wooden cribs and a carefully calibrated computer model. It shows how real fire conditions, reaching up to 800–1000 °C, could be reproduced experimentally. …”
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A 1Mbps Real-Time NLOS UV Scattering Communication System With Receiver Diversity Over 1km by Guanchu Wang, Kun Wang, Chen Gong, Difan Zou, Zhimeng Jiang, Zhengyuan Xu

“…Simulation results are provided to evaluate the proposed system design and specify the system key parameters for real-time implementation. …”
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Advances in multijunction solar cells: An overview by Anika Tabassum Raisa, Syed Nazmus Sakib, Mohammad Jobayer Hossain, Kaiser Ahmed Rocky, Abu Kowsar

“…This article aims to systematically review the advancements of III-V MJSCs by focusing on computational modelling and experimental fabrication methodologies. …”
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Sperm protein profile and their correlation with frozen semen quality of indigenous Indonesian buffalo bulls by Syahruddin Said, Tulus Maulana, Hikmayani Iskandar, Ekayanti Mulyawati Kaiin, Isyana Khaerunnisa, Widya Pintaka Bayu Putra, Fuad Hasan, Raden Iis Arifiantini

“…Sperm motility was assessed using Computer Assisted Semen Analysis, viability and abnormality were evaluated using eosin-nigrosin staining, plasma membrane integrity was evaluated using the hypoosmotic swelling test, acrosomal status was evaluated using lectin peanut agglutinin, protamine deficiency was evaluated using chromomycin A3, and deoxyribonucleic acid (DNA) integrity was evaluated using Halomax. …”
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Deep Learning-Based Cryptocurrency Price Prediction Scheme With Inter-Dependent Relations by Sudeep Tanwar, Nisarg P. Patel, Smit N. Patel, Jil R. Patel, Gulshan Sharma, Innocent E. Davidson

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Foundation Models as Assistive Tools in Hydrometeorology: Opportunities, Challenges, and Perspectives by Lujia Zhang, Yurong Song, Hanzhe Cui, Mengqian Lu, Chenyue Li, Binhang Yuan, Bin Wang, Upmanu Lall, Jing Yang

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Research on an optimal scheduling strategy for a virtual power plant participating in primary frequency regulation by HUANG Canbing, XIONG Ni, WU Wei, LIU Shijian, ZHANG Qiao, YANG Xiyun

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Photograph-based machine learning approach for automated detection and differentiation of aerial blight disease in soybean crops by Mukta Nainwal, Anurag Satpathi, Saqib Shamsi, Ali Salem, Ajeet Singh Nain, Dinesh Kumar Vishwakarma, Ahmed Elbeltagi, Salah El-Hendawy, Mohamed A. Mattar

“…Leveraging advanced computer technologies and smartphone imaging, this study presents a practical solution for enhancing crop management practices and minimizing yield losses due to diseases. …”
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Additive Attention for Vetting Transiting Exoplanet Candidates by Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Juan Carlos Morales

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Line-Field Confocal Optical Coherence Tomography of Plaque Psoriasis Under IL-17 Inhibitor Therapy: Artificial Intelligence-Supported Analysis by Hanna B. Wirsching, Oliver J. Mayer, Sophia Schlingmann, Janis R. Thamm, Stefan Schiele, Anna Rubeck, Wera Heinz, Julia Welzel, Sandra Schuh

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Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

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Retinal vasculometry associations with cognition status in UK Biobank by Royce Shakespeare, Alicja R. Rudnicka, Roshan Welikala, Sarah A. Barman, Anthony P. Khawaja, Paul J. Foster, Christopher G. Owen, the UK Biobank Eye and Vision Consortium

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SUBJECT MATTER EXPERTS’ FEEDBACK ON EXPERIMENTAL PROCEDURES TO MEASURE USER’S JUDGMENT ERRORS IN SOCIAL ENGINEERING ATTACKS by Tommy Pollock, Yair Levy, Wei Li, Ajoy Kumar

“…Finally, the SMEs were asked to evaluate the proposed procedures for the pilot testing and experimental research phases conducted in the future. …”
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A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention by Hasnain Hyder, Gulsher Baloch, Amreen Batool, Yong-Woon Kim, Yung-Cheol Byun

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Prediction model of axillary lymph node status using an automated breast volume ultrasound radiomics nomogram in early breast cancer with negative axillary ultrasound by Qianqing Ma, Qianqing Ma, Junli Wang, Zhengzheng Tu, Jingwen She, Jianhui Zhu, Feng Jiang, Chaoxue Zhang

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Collaborative assessment of the risk of postoperative progression in early-stage non-small cell lung cancer: a robust federated learning model by Yu Liu, Xiaobei Duan, Xiaojuan Chen, Kunwei Li, Qiong Li, Ke Liu, Wansheng Long, Huan Lin, Bao Feng, Xiangmeng Chen

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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…This study emphasizes the practical advantages of comparing clustering and machine learning techniques on 3D LiDAR point clouds, both with and without intensity normalization, and proposes a replicable, computationally efficient alternative to deep learning methods, which often require extensive training datasets and high computational resources.…”
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Postresuscitative Changes of Brain-Derived Neurotrophic Factor (BDNF) Protein Expression: Association With Neuronal Death by M. Sh. Avrushchenko, I. V. Ostrova

“…Aim of the study: to evaluate expression level of BDNF and its association with the postresuscitative neuronal death in highly hypoxia-sensitive brain regions.Materials and methods. …”
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An IoT intrusion detection framework based on feature selection and large language models fine-tuning by Huan Ma, Wan Zhang, Dalong Zhang, Baozhan Chen

“…This approach effectively reduces the computational cost of fine-tuning while producing higher-quality samples. …”
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