Optimizing DNA Sequence Classification via a Deep Learning Hybrid of LSTM and CNN Architecture by Elias Tabane, Ernest Mnkandla, Zenghui Wang

“…A hybrid network combining long short-term memory (LSTM) and convolutional neural networks (CNN) was developed to extract long-distance dependencies as well as local patterns from DNA sequences. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

“…The approach also incorporates an adaptive sampling rate with hierarchical dynamic position embeddings for context-aware multi-scale feature extraction. Feature channels are partitioned into specialized groups via an offset group mechanism to improve feature diversity, and a hierarchical deformable attention strategy further integrates local and global contexts to yield refined feature representations. …”
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A Histological Study of Ovarian Development in the Giant Red Shrimp Aristaeomorpha foliacea (Crustacea: Decapoda: Aristeidae) from the Southern Tyrrhenian Sea (Western Mediterranea... by Anna Perdichizzi, Laura Pirrera, Valeria Micale, Ugo Muglia, Paola Rinelli

“…Ovary development followed a group-synchronous pattern, with the yolked oocyte stock clearly separated from the reservoir of unyolked oocytes, suggesting that A. foliacea is a total spawner, with determinate fecundity. …”
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Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies by Peng Cui, Peng Cui, Saiya Cao, Ruize Qin, Fan Zhang

“…It refines the theoretical framework of urban immunity, analyzes urban immune response mechanisms, develops an immunity indicator system, assesses the spatiotemporal patterns of urban immunity, and builds a decision-making model using intelligent optimization methods to generate optimized solutions for different scenarios. …”
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Technical practice of enhanced oil recovery in medium and high permeability fault block reservoirs: A case study of Chun-47 block in Dongying Sag of Jiyang Depression by MAO Zhenqiang

“…Analyzing the mechanisms underlying efficient development and identifying the field’s development patterns have academic and practical significance. …”
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Enhanced Offline Writer Recognition System Employing Blended Multi-Input CNN and Bi-LSTM Model on Diverse Handwritten Texts by Naresh Purohit, Subhash Panwar

“…To capture and categorize feature information, a multi-path CNN with a Bidirectional Long Short Term Memory (Bi-LSTM) module is developed. …”
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AI-DBS study: protocol for a longitudinal prospective observational cohort study of patients with Parkinson’s disease for the development of neuronal fingerprints using artificial... by Martijn Beudel, Rick Schuurman, Rob M A de Bie, Deborah Hubers, Mariëlle J Stam, Martijn G J de Neeling, Bart J Keulen, Arthur W G Buijink, Bernadette C M van Wijk

“…The objective of the AI-DBS study is to identify patient-specific patterns of neuronal activity that are associated with the severity of motor symptoms of PD. …”
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Exploring machine learning trends in poverty mapping: A review and meta-analysis by Badri Raj Lamichhane, Mahmud Isnan, Teerayut Horanont

“…Our findings highlight the significant role of ML in revealing micro-geographical poverty patterns, enabling more granular and accurate poverty assessments. …”
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Relationships between Sociosexuality and Dermatoglyphic Traits by Pavlína Ingrová, Miroslav Králík, Lenka Polcerová, Věra Pavlíková, Ondřej Klíma, Martin Čuta

“…In humans, prenatal development of brain dispositions to sex differences in mating behavior is difficult to study directly. …”
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PERSONAL INCOME TAX GAPS: BIBLIOMETRIC AND ECONOMETRIC ANALYSIS by I. Tiutiunyk, O. Mazurenko

“…The article is devoted to the essence and features of the formation of personal income tax gaps. …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

“…JiangFei Zhou,1,* SongSong Jiao,1,* Jian Huang,2,* TianMing Dai,3,* YangYang Xu,1,* Dong Xia,4,* ZhenCheng Feng,1 JunJie Chen,1 ZhiWu Li,5 LiQiong Hu,4 QingQi Meng1,3 1Department of Orthopedics, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 2Qingdao Medical College, Qingdao University, Qingdao, 266071, People’s Republic of China; 3Guangzhou Institute of Traumatic Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 4Critical Care Medicine Department, Guangzhou Red Cross Hospital of Jinan University, Guangzhou, 510220, People’s Republic of China; 5Department of Orthopedics, the 2nd People’s Hospital of Bijie, Guizhou, 551700, People’s Republic of China*These authors contributed equally to this workCorrespondence: LiQiong Hu; QingQi Meng, Email 13929526981@163.com; mengqingqi@jnu.edu.cnBackground: Synovitis is one of the key pathological feature driving osteoarthritis (OA) development. Diverse programmed cell death (PCD) pathways are closely linked to the pathogenesis of OA, but few studies have explored the relationship between PCD-related genes and synovitis.Methods: The transcriptome expression profiles of OA synovial samples were obtained from the Gene Expression Omnibus (GEO) database. …”
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Implementing large language model and retrieval augmented generation to extract geographic locations of illicit transnational kidney trade by Zifu Wang, Meng-Hao Li, Patrick Baxter, Olzhas Zhorayev, Jiaxin Wei, Valerie Kovacs, Qiuhan Zhao, Chaowei Yang, Naoru Koizumi

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Surface Temperature Assisted State of Charge Estimation for Retired Power Batteries by Liangyu Xu, Wenxuan Han, Jiawei Dong, Ke Chen, Yuchen Li, Guangchao Geng

“…This improvement stems from the model’s ability to decode localized heating patterns and their hysteresis effects, which are particularly pronounced in aged batteries. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

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Development of an MRI based artificial intelligence model for the identification of underlying atrial fibrillation after ischemic stroke: a multicenter proof-of-concept analysisRes... by Zijie Zhang, Yang Ding, Kaibin Lin, Wenli Ban, Luyue Ding, Yudong Sun, Chuanliang Fu, Yihang Ren, Can Han, Xue Zhang, Xiaoer Wei, Shundong Hu, Yuwu Zhao, Li Cao, Jun Wang, Saman Nazarian, Ying Cao, Lan Zheng, Min Zhang, Jianliang Fu, Jingbo Li, Xiang Han, Dahong Qian, Dong Huang

“…Interpretation: Our work suggested a potential association between brain ischemic lesion pattern on MR images and underlying AF. Furthermore, with additional validation, the AI model we developed may serve as a rapid screening tool for AF in clinical practice of stroke units. …”
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Quantifying spontaneous infant movements using state-space models by E. Passmore, A. K. L. Kwong, J. E. Olsen, A. L. Eeles, J. L. Y. Cheong, A. J. Spittle, G. Ball

“…Abstract Over the first few months after birth, the typical emergence of spontaneous, fidgety general movements is associated with later developmental outcomes. In contrast, the absence of fidgety movements is a core feature of several neurodevelopmental and cognitive disorders. …”
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Exploring the utility of unretouched lithic flakes as markers of cultural change by Manuel Will, Hannes Rathmann

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Detection of Plants Leaf Diseases using Swarm Optimization Algorithms by Saud Abdul Razzaq, Baydaa Khaleel

“…Classification is widely and largely used in data analysis, and pattern recognition. The data analysis aims to discover similarities between them and group them based on similarity into multiple classes. …”
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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

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