Structure-guided virtual screening reveals phytoconstituents as potent cathepsin B inhibitors: Implications for cancer, traumatic brain injury, and Alzheimer’s disease by Nageeb Hassan, Mohammad Furkan, Mohd Shahnawaz Khan, Azna Zuberi, Moyad Shahwan, Moyad Shahwan, Anas Shamsi

“…These molecules were further validated through molecular dynamics (MD) simulations, which supported their ability to bind stably to the CathB active pocket and thus likely hold their durable inhibitory activity. …”
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Polymer lipid hybrid nanoparticles for phytochemical delivery: challenges, progress, and future prospects by Iqra Rahat, Pooja Yadav, Aditi Singhal, Mohammad Fareed, Jaganathan Raja Purushothaman, Mohammed Aslam, Raju Balaji, Sonali Patil-Shinde, Md. Rizwanullah

“…We discuss the obstacles in the conventional delivery of phytochemicals, the fundamental architecture of PLHNPs, and the types of PLHNPs, highlighting their ability to improve encapsulation efficiency, stability, and controlled release of the encapsulated phytochemicals. …”
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Improvement of Bacillus subtilis Natto Viability by Alginate and Xanthan Gum as a Wall Material by Han Le, Ly Vo, Nhi Kieu, Thuy Dang, Dong Lieu

“…The results showed that B. subtilis natto biomass had a thrombolytic ability compared to the control sample. The viability of encapsulated B. subtilis natto was improved in which alginate 2.5% (w/v) had a high encapsulation efficiency, and there was no difference between the samples with or without the xanthan gum supplement. …”
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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

“…Water pollution case studies further validate the framework’s ability to rapidly localize pollution events. Overall, the proposed framework significantly enhances the timeliness and accuracy of environmental public opinion monitoring, providing novel insights and decision-support capabilities for policymakers.…”
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Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

“…Unlike prior fuzzy logic or reinforcement learning approaches that rely on fixed profiles or static parameter sets, our work introduces adaptability at both the membership function and profile selection levels, significantly improving broadcasting efficiency and flexibility across diverse MANET conditions. …”
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Two-Stage Target Detection for Compact HFSWR With Space-to-Depth YOLOv8 and Multiframe ViT by Tong Wu, Ming Li, Jiong Niu, Ling Zhang, Wandong Zhang, Qing Ming Jonathan Wu

“…However, existing methods based on single-frame radar images primarily focus on static target features, limiting their ability to capture dynamic ship behaviors across multiple frames. …”
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Importance of selected genetic determinants on endurance performance and physical strength: a narrative review by Jiawei Yao, Falguni Saraf, Vishan Singh Rathore, Kinan Darkazanli, Yubo Liu, Mallikarjuna Korivi, L. V. K. S. Bhaskar

“…This review delved into the intricate role of several genes and polymorphisms in different-population groups, and explored their impact on an individual’s ability to engage in athletic activities. Among several identified genes, the prominent genes, including ACE, AGT, BDKRB2, NOS3, HIF1A, ACTN3, AMPD1, PPARGC1, SOD2, BDNF, VDR and mtDNA are discussed in this study. …”
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A design method of composite pixel-like antenna based on improved bald eagle search algorithm by WANG Yongqiang, LIU Bingqi, ZHU Bolin

“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. After joint simulation and optimization, the UHF composite antenna is tested in the laboratory. …”
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ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration by Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

“…Its ability to reduce fatigue and improve accuracy makes it especially suitable for tasks involving complex environments or extended usage in XR settings.…”
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Leveraging U-Net and ASPP for effective fault detection in photovoltaic modules by Khalfalla Awedat, Masoud Alajmi, Mustafa Elfituri

“…Abstract The efficiency of photovoltaic (PV) systems is often compromised by undetected faults, exacerbated by the complexity of thermal imagery backgrounds. …”
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Piezoelectric Biomaterial with Advanced Design for Tissue Infection Repair by Siyuan Shang, Fuyuan Zheng, Wen Tan, Zhengyi Xing, Siyu Chen, Fuli Peng, Xiang Lv, Duan Wang, Xiangdong Zhu, Jiagang Wu, Zongke Zhou, Xingdong Zhang, Xiao Yang

“…The ability of electron enrichment and reactive oxygen species generation through noninvasive stimulations enables piezoelectric materials the potential applications of antibacterial. …”
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A Bayesian Approach to Step-Stress Partially Accelerated Life Testing for a Novel Lifetime Distribution by Mervat K. Abd Elaal, Hebatalla H. Mohammad, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Sara M. Behairy, Reda M. Refaey

“…Overall, the results highlight the flexibility, efficiency, and applicability of the proposed Bayesian approach in reliability analysis.…”
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Micro-nano manufacturing of a pre-identified organic hydrogel surface for selective oil/water separation with ultra-high flux by Yun-yun Song, Jiang-shen Lu, Yang Zhang, Zhao-peng Yu, Yan Liu, Zhong-qiang Zhang

“…In addition, the surface maintains an ultra-high separating efficiency and flux of about 99.85% and 17 750 L·m ^−2 ·h ^−1 , and even after continuous cycles without cleaning, it could keep 99.1% and 16 000 L·m ^−2 ·h ^−1 due to the excellent anti-fouling ability. …”
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Single cell oils from oleaginous yeasts and metabolic engineering for potent cultivated lipids: A review with food application perspectives by Quoc Duy Nguyen, Thi-Van-Linh Nguyen, Thi Tuong Vi Tran, Yunus Khatri, Jayani Chandrapala, Tuyen Truong

“…Single Cell Oils (SCO), produced by oleaginous yeasts, are emerging as a promising alternative to traditional edible lipids due to their ability to minimise environmental impact and their high capacity for oil accumulation. …”
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Revolutionizing the construction industry by cutting edge artificial intelligence approaches: a review by Eliezer Zahid Gill, Daniela Cardone, Alessia Amelio

“…These tools are assessed for their ability to predict air pollutant levels, improve concrete quality, and monitor worker safety in real time. …”
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Performance of Fine-Tuning Techniques for Multilabel Classification of Surface Defects in Reinforced Concrete Bridges by Benyamin Pooraskarparast, Son N. Dang, Vikram Pakrashi, José C. Matos

“…EfficientNet-B3 showed the best-balanced Precision (0.935) and perfect Recall (1.000) in background classification, indicating its ability to distinguish defect-free areas from structural damage. …”
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Comparison of the egg recovery rates and limit of detection for soil-transmitted helminths using the Kato-Katz thick smear, faecal flotation and quantitative real-time PCR in human... by Patsy A Zendejas-Heredia, Vito Colella, Sze Fui Hii, Rebecca J Traub

“…., Trichuris spp. and Necator americanus eggs representing low, medium and high intensity infections. The efficiency of NaNO3 flotation was also calculated over a range of specific gravities (SpGr) for the optimum recovery of STH eggs. …”
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Automatic construction of global cloud sample database based on Landsat imagery by Tao He, Guihua Huang, Lei Zhang, Daiqiang Wu, Yichuan Ma

“…The results showed that the overall accuracies of models trained on UAC-CSD sample database were basically higher than models trained on Fmask4.0, and computational efficiencies were also greatly improved. This study provides global cloud samples with different cloud characteristics and covering different land covers for cloud detection models, which increases generalization ability of models and improves the accuracy and efficiency of processing massive medium to fine resolution satellite data in the big data era.…”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…The TCN layer incorporates batch normalization, an optimized activation function (Leaky ReLU), and a dropout mechanism to enhance its ability to capture multi-scale temporal features. …”
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Comprehensive Fault Location on Transmission Lines Considering Variation in Line Parameters and Saturation in Current Transformers by Duy C. Huynh, Loc D. Ho

“…Precise and rapid fault location on transmission lines is a cornerstone for enhancing the reliability and cost-efficiency of power systems. This paper proposes an innovative approach to a fault location by solving an optimization problem. …”
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