Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…Additionally, we performed a computational cost analysis to measure the efficiency of the models in terms of training time and resource usage. …”
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Proactive recognition and early detection in communities through targeted HIV screening by Mehdi Nejat, Hamid Reza Marateb, Mehrshad Alirezaei Farahani, Mohammad Zakaria Rajabi, Maryam Nasirian, Miguel Angel Mañanas, Mohammad Javad Tarrahi, Marjan Mansourian

“…PREDICT-HIV may support earlier identification and intervention in underserved populations, improving the efficiency of HIV screening programs.…”
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Potential of Bacterial Inoculants to Mitigate Soil Compaction Effects on <i>Gossypium hirsutum</i> Growth by Fausto Henrique Viera Araújo, Crislaine Alves da Conceição, Adriene Caldeira Batista, Gabriel Faria Parreiras de Andrade, Caique Menezes de Abreu, Paulo Henrique Grazziotti, Ricardo Siqueira da Silva

“…Foliar nutrient levels of N (37.2 g kg⁻¹), Ca, and Mg remained within the adequate range for cotton cultivation, reflecting the efficiency of PGPB in enhancing nutrient absorption. …”
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Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms by Zhan Zhang, Qingping Song, Minzheng Duan, Hailei Liu, Juan Huo, Congzheng Han

“…The model introduces the residual neural network (ResNet) and the convolutional block attention module (CBAM) to integrate multi-scale features into the U-Net encoder–decoder architecture, enhancing its ability to capture the spatiotemporal evolution of precipitation systems. …”
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Using Virtual Reality to Enhance Surgical Skills and Engagement in Orthopedic Education: Systematic Review and Meta-Analysis by Ting Li, Jingxin Yan, Xin Gao, Hangyu Liu, Jin Li, Yuanting Shang, Xiaoyu Tang

“…The secondary outcomes were included course participation, learning efficiency, enhance clinical ability, and so on. Compared to traditional teaching, VR interventions resulted in significantly higher knowledge scores (standardized mean difference [SMD]=1.08, 95% CI 0.71-1.46; PPPPPPPP ConclusionsThis meta-analysis emphasizes VR as an excellent orthopedic educational tool. …”
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The mechanism of telomerase Cajal body protein 1 regulating senescence of mouse bone marrow mesenchymal stem cells by Shu-qian Lin, Nini Tian, Xiang Yao, Xing-hua Pan, Zi-an Li, Qiang Wang, Jin Gao, Xi-long Zhao, Guang-ping Ruan

“…Abstract Objective The regulatory ability of bone marrow stem cells (BMSC) to chemokines and inflammatory factors has a significant effect in a variety of diseases. …”
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Ultrasmall nanoparticles for co-delivery of antisense oligonucleotides targeting miR-21 and miR-210 to treat glioblastoma by Ravi Raj Singh, Ritu Kulshreshtha, Amirali Popat

“…The modified USMP complexed with antisense oligonucleotides possesses the inherent ability to transiently penetrate the BBB validated by transwell assay. …”
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Neural mechanisms of intersensory switching: Evidence for delayed sensory processing and increased cognitive demands by Theo Vanneau, Michael Quiquempoix, John J. Foxe, Sophie Molholm

“…Intersensory switching (IS), the ability to shift attention between different sensory systems, is essential for cognitive flexibility, yet leads to slower responses compared to repeating the same sensory modality. …”
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Lactobacillus reuteri cell-free extracts against antibiotic-resistant bacteria by O. V. Knysh, A. V. Martynov

“…The aim of the research was to evaluate the antimicrobial potential of cell-free extracts obtained in various ways from the probiotic strain Lactobacillus reuteri DSM 17938 with respect to their ability to influence the proliferation of antibiotic-resistant bacteria. …”
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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

“…Abstract The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. …”
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Can a Simple Static-Equivalent Model Be Used to Predict Major Trends in the Dynamic Structural Response of Monopile Offshore Wind Turbines? by Antonio J. Romero-Monzón, Carlos Romero-Sánchez, Guillermo M. Álamo, Luis A. Padrón

“…Turbulence and wind velocity have a significant impact on internal forces and on the ability of the simplified model to reproduce their values. …”
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New trends in protection of plant breeder’s rights on the example of apple varieties: cultivars as trademarks, clubs and brands by В. М. Меженський, Н. Б. Якубенко

“…The advantage for growers is the ability to raise prices by limi­ting supply and the benefits of promoting apples in the market. …”
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Modern artificial intelligence and large language models in graduate medical education: a scoping review of attitudes, applications & practice by Basil George Verghese, Charoo Iyer, Tanvi Borse, Shiamak Cooper, Jacob White, Ryan Sheehy

“…In assessments, AI demonstrated the ability to differentiate between skill levels and offer meaningful feedback. …”
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Green synthesis of CuO nanoparticles from Cucurbita maxima leaf extract; a platinum free counter electrode for dye sensitized solar cells by Emma Panzi Mukhokosi, Stephen Tenywa, Nandipha L. Bothab, Shohreh Azizi, Mathapelo Pearl Seopela, Malik Maaza

“… Green synthesis of metal oxides has attracted attention as the latest technology in synthesizing metal oxide nanoparticles due to its simplicity, cheapness, non-toxicity and its ability for large scale production. Metal oxides find applications in dye sensitized solar cells (DSSCs) as counter electrodes (CEs) and photo-anodes. …”
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Path Planning of Mobile Robot in Dynamic Obstacle Avoidance Environment Based on Deep Reinforcement Learning by Qingfeng Zhang, Wenpeng Ma, Qingchun Zheng, Xiaofan Zhai, Wenqian Zhang, Tianchang Zhang, Shuo Wang

“…The experiments demonstrate that the proposed algorithm significantly accelerates convergence in environments with sparse rewards compared to traditional algorithms, and the robot can find more target points within a single episode, indicating more effective path planning ability. Additionally, it can avoid obstacles in various states. …”
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Tracing the path from conservation to expansion evolutionary insights into NLR genes in oleaceae by Saba Parvez, Maryam Asif, Alizay Ahmad, Iqra Javaid, Muhammad Zaman Rasheed, Romana Iftikhar, Nada H. Aljarba, Rabia Zafar, Aqsa sarwar, Rao Sohail Ahmed Khan, Saad Serfraz

“…These differences in NLR gene evolution likely enhance Olea's ability to recognize diverse pathogens through recent expansions, while Fraxinus maintains specialized immune responses through conserved genes, with potential trade-offs in pathogen adaptation and energy efficiency. …”
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Comparison of the Photosynthesis, Hydraulic Properties, and Anatomy of <i>Pteroceltis tatarinowii</i> Leaves Between a Limestone and a Cultivated Forest by Ya Zhang, Yu-Die Wang, Meng-Meng Ma, Ying-Ying Zhang, Dong-Sheng Du, Xian-Can Zhu, Xiao-Hong Li

“…This study reveals a hydraulic trade-off between efficiency and safety for <i>P. tatarinowii leaves</i> growing in distinct habitats. …”
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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…Next, a fast convolution layer is implemented to replace the original C2f module, improving both detection accuracy and computational efficiency. In addition, a multi-scale fusion attention module is incorporated into the Neck section, which effectively integrates disease-related information from different receptive fields, thereby boosting the model&#x2019;s ability to detect a wider variety of diseases. …”
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Relation of Chlorophyll Fluorescence Sensitive Reflectance Ratios to Carbon Flux Measurements of Montanne Grassland and Norway Spruce Forest Ecosystems in the Temperate Zone by Alexander Ač, Zbyněk Malenovský, Otmar Urban, Jan Hanuš, Martina Zitová, Martin Navrátil, Martina Vráblová, Julie Olejníčková, Vladimír Špunda, Michal Marek

“…We explored ability of reflectance vegetation indexes (VIs) related to chlorophyll fluorescence emission (𝑅686/𝑅630, 𝑅740/𝑅800) and de-epoxidation state of xanthophyll cycle pigments (PRI, calculated as (𝑅531−𝑅570)/(𝑅531−𝑅570)) to track changes in the CO2 assimilation rate and Light Use Efficiency (LUE) in montane grassland and Norway spruce forest ecosystems, both at leaf and also canopy level. …”
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Early prediction of Li-ion cell failure from EIS derived from current–voltage time series by M T Wilson, V Farrow, C J Dunn, L Cowie, M J Cree, J Bjerkan, A Stefanovska, J B Scott

“…The ability to reliably detect the forthcoming failure of a rechargeable cell without removing it from its normal operating environment remains a significant goal in battery research. …”
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