Multi-model deep learning approach for the classification of kidney diseases using medical images by Waleed Obaid, Abir Hussain, Tamer Rabie, Dhafar Hamed Abd, Wathiq Mansoor

“…This research paper leveraged a deep learning approach to address the worldwide shortage of urologists by facilitating the detection of kidney diseases. A novel deep learning technique is proposed using Darknet53 for the classification of kidney diseases using a large dataset gathered from five resources. …”
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On the issue of secular trends in modern anthropology by A. A. Gaivoronsky, A. A. Semenov, V. V. Chrishtop, G. I. Nichiporuk, O. A. Osipov, R. I. Glushakov

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LiSA-MobileNetV2: an extremely lightweight deep learning model with Swish activation and attention mechanism for accurate rice disease classification by Yongqi Xu, Dongcheng Li, Changcheng Li, Zheming Yuan, Zhijun Dai

“…LiSA-MobileNetV2 provides a high-accuracy, resource-efficient solution for real-time rice disease detection in smart farming systems.…”
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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…Conclusions The added value of this work is that the proposed method can be seen as a basis for a selection process between a large number of potential new community members. …”
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Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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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

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Evaluation of response to a cholera outbreak in January 2024 using the 7–1–7 timeliness metrics: a case study of Elegu Point of Entry, Uganda by Innocent Ssemanda, Brian Kibwika, Ritah Namusoosa, Benon Kwesiga, Lilian Bulage, Richard Migisha, Alex Riolexus Ario

“…Achieving the 7–1–7 targets highlighted the country’s-built capacity to detect, notify, and respond to such events. Continued investment in local-level disease detection, communication, and national-level resource mobilization will be crucial to sustaining future effective cross-border outbreak prevention and control strategies.…”
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Combining first principles and machine learning for rapid assessment response of WO3 based gas sensors by Ran Zhang, Guo Chen, Shasha Gao, Lu Chen, Yongchao Cheng, Xiuquan Gu, Yue Wang

“…The rapid advancement of gas sensitive properties in metal oxides is crucial for detecting hazardous gases in industrial and coal mining environments. …”
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Screening Tests to Identify Injury Risk in Competitive Swimmers: A Scoping Review by Dnyanesh Pramod Patil, Ajit Surendra Dabholkar

“…A quality rating for the selected studies was conducted using the National Institutes of Health (NIH) study-quality assessment tool. …”
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Integrated Waveform Design of Radar and Communication Based on Chirp-rate Hopping Modulation by G. Q. Zhang, X. Rao, J. L. Fu, W. W. Hu, J. F. Hu

“…The increasing demand for spectrum resources and the need for reducing the burden of modern electronic combat platforms have prompted the development of integrated radar and communication systems. …”
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Scalable Video Processing and Frame Analysis System for Automated Monitoring of Chicken Behavior Based on Artificial Intelligence Technologies by Svitlana Antoshchuk, Oleksii Danchuk, Tetiana Kunup

“…The article highlights the advantages of using automated systems to monitor chicken health under conditions of limited human resources. A software solution has been developed for monitoring chicken health, which enables video uploads from local sources or video services such as YouTube, selection of the communication language, and the LLM model. …”
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Deformable Feature Fusion and Accurate Anchors Prediction for Lightweight SAR Ship Detector Based on Dynamic Hierarchical Model Pruning by Yue Guo, Shiqi Chen, Ronghui Zhan, Wei Wang, Jun Zhang

“…Moreover, the large number of parameters in CNNs restricts their deployment on platforms with limited resources. To address these challenges, this article proposes a novel SAR ship detection network called DFES-Net, which incorporates deformable feature fusion and accurate anchor prediction to enhance detection performance. …”
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Nazwy odantroponimiczne jako ekspresywne znaki pamięci wiejskiej wspólnoty językowo-kulturowej by ANNA PIECHNIK

“…The source material was obtained during field research and includes short spoken texts illustrating how the discussed vocabulary functions in communication. …”
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Small-World Propensity Reveals the Frequency Specificity of Resting State Networks by Riccardo Iandolo, Marianna Semprini, Stefano Buccelli, Federico Barban, Mingqi Zhao, Jessica Samogin, Gaia Bonassi, Laura Avanzino, Dante Mantini, Michela Chiappalone

“…<italic>Goal:</italic> Functional connectivity (FC) is an important indicator of the brain&#x0027;s state in different conditions, such as rest&#x002F;task or health&#x002F;pathology. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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MARKEDNESS OF THEME IN EVERYTHING, EVERYTHING MOVIE DIALOG by Nurhayati Br Tarigan, Tengku Silvana Sinar, Yulianus Harefa, Muhammad Yusuf

“…The theory that is used in this research is Systemic Functional Linguistics (SFL) proposed by Halliday (1994), regarded with textual function that observes clause as a message and analyzes it from the thematic structure in the term of Theme-Rheme. …”
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Effect of Forest Species Canopy on the Accumulation of Toxic Metals in the Soil Within and Around Macedonia Airport, Northern Greece by Ioannis Mousios, Marianthi Tsakaldimi, Evangelia Gkini, Theocharis Chatzistathis, Petros Ganatsas

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Computationally expensive constrained problems via surrogate-assisted dynamic population evolutionary optimization by Zan Yang, Chen Jiang, Jiansheng Liu

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The effects of nicotine withdrawal on exercise-related physical ability and sports performance in nicotine addicts: a systematic review and meta-analysis by Kangzhe Bao, Kai Zheng, Xianxian Zhou, Baichao Chen, Zerui He, Danyang Zhu

“…Background Previous research has established that nicotine withdrawal can ameliorate cardiovascular and pulmonary function in smokers. Nevertheless, the impact on physical fitness and athletic performance remains under-investigated.Objective To evaluating the impacts of nicotine withdrawal on both exercise performance and exercise-associated physical capabilities in nicotine-dependent individuals.Study design A comprehensive systematic review and meta-analysis.Data sources The data was compiled from databases such as PubMed, Scopus, Web of Science, Cochrane Central, and EBSCO.Study selection The selection criteria required studies to elucidate the effects of nicotine withdrawal on exercise performance or exercise-related physical abilities. …”
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Analysis of microsatellite and single nucleotide polymorphism within transcriptomic database in Cymbidium ensi folium by Li Xiaobai, Xiang Lin, Luo Jie, Qin Dehui, Sun Chongbo

“…Owing to the lack of its genomic resource, the development and application of molecular marker is still limited. …”
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