Enhanced automated art curation using supervised modified CNN for art style classification by Weiwei Li

“…To address these challenges, we developed a Modified CNN model capable of distinguishing art styles and movements using features such as color patterns, textures, and compositions. The model was trained and evaluated on a custom dataset comprising 5000 artworks representing five major art styles: Impressionism, Cubism, Realism, Abstract, and Surrealism. …”
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Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions. by Quang Dung Dinh, Daniel Kunk, Truong Son Hy, Vamsi Nalam, Phuong D Dao

“…This study presents a novel Machine Learning (ML) approach to automate the annotation of EPG signals. We rigorously evaluated six diverse ML models, including neural networks, tree-based models, and logistic regression, using an extensive dataset from multiple aphid feeding experiments. …”
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Whole-brain functional connectivity identification of functional dyspepsia. by Jiaofen Nan, Jixin Liu, Guoying Li, Shiwei Xiong, Xuemei Yan, Qing Yin, Fang Zeng, Karen M von Deneen, Fanrong Liang, Qiyong Gong, Wei Qin, Jie Tian

“…Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. The purpose of this study was to investigate whether FD disrupts the patterns of whole-brain networks and the abnormal functional connectivity could reflect the severity of the disease. …”
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Enhancing Spreading Factor Assignment in LoRaWAN with a Geometric Distribution Approach for Practical Node Distributions by Phanupong Tempiem, Rardchawadee Silapunt

“…Its ability to finely adjust the weight factor (<i>w</i>) or the probability of success in allocating SFs enables the optimization of spreading factor (SF) allocation, thereby achieving the optimal Data Extraction Rate (DER). To evaluate the algorithm’s performance, simulations were conducted using the fixed node pattern derived from actual dairy farm locations in Ratchaburi province, Thailand. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Furthermore, a self-explaining neural network (SENN) model incorporating an attention mechanism is developed to predict canal slope deformation. …”
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Exploration of metastasis-related signatures in osteosarcoma based on tumor microenvironment by integrated bioinformatic analysis by Shiyao Liao, Xing Gao, Kai Zhou, Yao Kang, Lichen Ji, Xugang Zhong, Jun Lv

“…Weighted gene co-expression network analysis (WGCNA) was performed to find metastasis-related modules and genes. …”
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Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction by Wei Bai, Lan Xiong, Yubei Liao, Zhengyang Tan, Jingang Wang, Zhanlong Zhang

“…In light of this, we propose the Catch22-Conv-Transformer method, a multi-dimensional feature extraction-based approach tailored for the detection of anomalous electricity usage patterns. This methodology leverages both the Catch22 feature set and complementary features to extract sequential features, subsequently employing convolutional networks and the Transformer architecture to discern various types of theft behaviors. …”
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A novel classification method for LUAD that guides personalized immunotherapy on the basis of the cross-talk of coagulation- and macrophage-related genes by Zhuoqi Li, Ling Chen, Zhigang Wei, Hongtao Liu, Lu Zhang, Fujing Huang, Xiao Wen, Yuan Tian

“…Unsupervised clustering analysis was used to evaluate distinct COMAR patterns for LUAD patients on the basis of the COMAR genes. …”
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Context-Specific Impact Of Antimicrobial Stewardship On Antibiotic Use And Antibiotic Resistance In Hospitals In A Lower-Middle Income Country - Results From Implementation Study W... by Trang Quynh Le, Dung Tien Viet Vu, Quang Minh Le, Huyen Thi Thu Nguyen, Vinh Hai Vu, Duc Minh Chau, Em Thi Hoang Dung Vo, Tu Thi Cam Nguyen, Quan Anh Truong, Khanh Hong Nguyen, Hoa Nguyen Minh Le, Thomas Kesteman, Elizabeth Dodds Ashley, Deverick J. Anderson, Hugo C. Turner, Thach Ngoc Pham, Ben S. Cooper, Choisy Marc, H Rogier Van Doorn, Huong Thi Lan Vu

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Comparative analysis of Microtus fortis and murine hosts reveals a correlation between BRD4 and hepatic inflammation during Schistosoma japonicum infection by Ming Yuan, Mingrou Wu, Yunyi Hu, Siyu Zhao, Jehangir Khan, Zhanhong Yuan, Yun Huang, Tianqiong He, Zhijun Zhou, Jia Shen, Zhongdao Wu

“…BRD4-associated gene expression patterns were analyzed through correlation-based classification, followed by protein–protein interaction network construction and functional enrichment analyses. …”
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Spatio-temporal analysis of urban expansion and land use dynamics using google earth engine and predictive models by Ang Zhang, Aqil Tariq, Abdul Quddoos, Iram Naz, Rana Waqar Aslam, Elgar Barboza, Sajid Ullah, M. Abdullah-Al-Wadud

“…The study presents an effective analytical method integrating cloud processing, GIS, and change simulation modeling to evaluate urban growth spatiotemporal patterns and LULC changes. …”
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Polymorphism of the prolactin gene and its association with reproductive traits in F2 local crossed chickens by Ega Rosalinda, Heru Sasongko, Dyah Maharani

“…Prolactin (PRL) is a gene involved in a complex hormonal network that regulates reproduction in chickens. In this study, three local chicken breeds were crossed and had been produce a second filial (F2) generation, referred to as the F2 local crossed chicken. …”
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Crime in Tourism: A Systematic Literature Review and Bibliometric Analysis by Eylem Baş, Engin Bayraktaroğlu

“…It is also essential to evaluate crime patterns within the tourism phenomenon. …”
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A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…The proposed method was evaluated using the dataset comprising 6,380 GNSS trajectory images of wheat and rice in this study. …”
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Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

“…Machine learning models, including decision trees, neural networks, random forests, and support vector machines, provide a flexible framework for capturing these intricate patterns. …”
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Zero Knowledge Proof Solutions to Linkability Problems in Blockchain-Based Collaboration Systems by Chibuzor Udokwu

“…However, linkability problems exist in blockchain-based collaboration platforms due to privacy leakages, which, when exploited, will result in tracing transaction patterns to users and exposing collaborating organizations and parties. …”
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Lactylation-related gene signatures identify glioma molecular subtypes with prognostic, immunological, and therapeutic implications by Yanliang Tang, Xiaoli Zhang, Xiaofei Tang, Ye Yuan, Wenwen Wang

“…IntroductionLactic acid is a by-product of energy metabolism and a signaling molecule that influences tumor progression by regulating immune cell function, angiogenesis, and epigenetic modifications.MethodsThis study analyzed data from the TCGA database on gliomas to systematically elucidate the expression patterns, prognostic value, and functional regulatory networks of lactylation-related genes.ResultsIn this study, 17 lactylation-related prognostic genes were identified through the analysis of TCGA-GBM data. …”
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Advancing sustainable investing: A deep learning model for multi-source stock prediction by Hongxuan Yu, Tingting Zhang, Murat Kizildag

“…This multifaceted approach is operationalized within a predictive model underpinned by long short-term memory (LSTM) networks and an attention framework geared toward deciphering the intricate, non-linear patterns characteristic of stock market time series data. …”
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Uncovering genetic mechanisms associated with harmful use of alcohol in admixed Latin Americans by Edson H. B. Amaral, Gabriela de S. G. Britto, Raquel B. de São Pedro, Alberto O. Moreira, Marília O. Scliar, Ricardo Lyra, Natália P. Lima, Caroline A. Feitosa, Camila A. V. Figueiredo, Helena M. Pitangueira, Thiago Magalhães da Silva, Luydson R. S. Vasconcelos, Rodrigo F. Carmo, Maurício L. Barreto, Eduardo Tarazona-Santos, Bernardo L. Horta, Ana L. Brunialti-Godard, Pablo R. S. Oliveira

“…Abstract Background Harmful use of alcohol (HUA) refers to drinking patterns that are associated with increased risk of medical complications and adverse social impacts. …”
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Planning for Cultural Connectivity: Modeling and Strategic Use of Architectural Heritage Corridors in Heilongjiang Province, China by Lyuhang Feng, Jiawei Sun, Tongtong Zhai, Mingrui Miao, Guanchao Yu

“…A comprehensive analytical framework is established by integrating the nearest neighbor index, kernel density estimation, minimum cumulative resistance (MCR) model, entropy weighting, circuit theory, and network structure metrics. Kernel density analysis reveals a distinct spatial aggregation pattern, characterized by “one core, multiple zones.” …”
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