Imitating Human Go Players via Vision Transformer by Yu-Heng Hsieh, Chen-Chun Kao, Shyan-Ming Yuan

“…Using a dataset from the KGS Go server, our ViT-based model achieves 51.49% accuracy in predicting expert moves with a simple feature set. Comparative analysis against CNN-based models highlights the ViT’s superior performance in capturing patterns and replicating expert strategies. …”
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Modeling Short-Term Drought for SPEI in Mainland China Using the XGBoost Model by Fanchao Zeng, Qing Gao, Lifeng Wu, Zhilong Rao, Zihan Wang, Xinjian Zhang, Fuqi Yao, Jinwei Sun

“…Accurate drought prediction is crucial for optimizing water resource allocation, safeguarding agricultural productivity, and maintaining ecosystem stability. This study develops a methodological framework for short-term drought forecasting using SPEI time series (1979–2020) and evaluates three predictive models: (1) a baseline XGBoost model (XGBoost1), (2) a feature-optimized XGBoost variant incorporating Pearson correlation analysis (XGBoost2), and (3) an enhanced CPSO-XGBoost model integrating hybrid particle swarm optimization with dual mechanisms of binary feature selection and parameter tuning. …”
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Decreased neuronal and increased endothelial fractalkine expression are associated with neuroinflammation in Parkinson’s disease and related disorders by Yaping Chu, Ashley S. Harms, Ashley Boehringer, Jeffrey H. Kordower

“…IntroductionChronic neuroinflammation is a persistent feature of individuals with Parkinson’s disease (PD). …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…Nevertheless, differentiating between the feature values of X-ray images for pipeline girth weld defects and noise poses a considerable challenge. …”
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Distribution characteristics and origin analysis of iron and manganese in groundwater in Beijing Plain Area by Jiji CHEN, Lei TAO, Baoxian LIU, Qing YANG, Yue XI, Sushi XU, Yuanyuan CHEN, Hongwei JING

“…Groundwater is an important part of Beijing’s water supply, excessive ferric and manganese in groundwater will limit the development and utilization of water resources. The spatial distribution, geochemical characteristics, and sources of ferric and manganese in groundwater were analyzed based on X-ray fluorescence spectrometry, iron and manganese step extraction method, geological statistical analysis, and GIS spatial feature analysis. …”
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An intelligent intrusion detection system for cyber-physical systems using GAN-LSTM networks by Md Shakil Siddique, Md. Ashikur Rahman Khan, Ishtiaq Ahammad, Nishu Nath, Joysri Rani Das, Fardowsi Rahman

“…The primary objectives are: (i) developing an adversarial learning framework where the generator synthesizes realistic attack patterns while the discriminator improves detection robustness, (ii) introducing a hybrid anomaly scoring mechanism combining reconstruction and discrimination loss, and (iii) validating performance on real-world CPS datasets (SWaT and WADI). …”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Image processing techniques are used to extract features from diseased leaf images, such as the color, texture, vein patterns, and shape of lesions. …”
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Aquaporins are critical for provision of water during lactation and intrauterine progeny hydration to maintain tsetse fly reproductive success. by Joshua B Benoit, Immo A Hansen, Geoffrey M Attardo, Veronika Michalková, Paul O Mireji, Joel L Bargul, Lisa L Drake, Daniel K Masiga, Serap Aksoy

“…All organs, tissues, and body parts examined had distinct AQP expression patterns. Two AQP genes, gmmdripa and gmmdripb ( = gmmaqp1a and gmmaqp1b) are highly expressed in the milk gland/fat body tissues. …”
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Deep Learning for the Early Diagnosis of Candidemia by Daniele Roberto Giacobbe, Sabrina Guastavino, Anna Razzetta, Cristina Marelli, Sara Mora, Chiara Russo, Giorgia Brucci, Alessandro Limongelli, Antonio Vena, Malgorzata Mikulska, Alessio Signori, Antonio Di Biagio, Anna Marchese, Ylenia Murgia, Marco Muccio, Nicola Rosso, Michele Piana, Mauro Giacomini, Cristina Campi, Matteo Bassetti

“…Conclusions A deep learning model trained on nonspecific laboratory features showed some discriminatory ability to differentiate candidemia from bacteremia, highlighting the ability of deep learning to exploit complex patterns within nonspecific laboratory data. …”
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Living with Credit and Installment Plans: The Situation in a Southern Kazakhstan by Murat O. Nassimov

“…In modern developed economies, the prevalence of credit usage and installment plans has become a notable feature of consumer behavior. …”
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MATHEMATICAL-CARTOGRAPHIC MODELING AND CARTOGRAPHY OP DEMOGRAPHIC SITUATION IN THE REGIONS OF EUROPE AND RUSSIA by A. I. Igonin, V. S. Tikunov

“…The multivariate typology gave heterogeneous results, which makes it possible to assess a wide range of territorial features of the demographic characteristics of the population and identify patterns of their distribution. …”
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Relationships of a new fossorial Microcambevinae catfish species from southern Brazil supporting multiple dorsal-fin losses in Listrura (Siluriformes, Trichomycteridae) by Wilson J. E. M. Costa, Caio R. M. Feltrin, José L. O. Mattos, Paulo J. Vilardo, Axel M. Katz

“…Extreme reduction or loss of fins is a common evolutionary feature in fossorial and semifossorial trichomycterids. …”
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A study on flare minimisation in EUV lithography by post‐layout re‐allocation of wire segments by Sudipta Paul, Pritha Banerjee, Susmita Sur‐Kolay

“…Abstract The feature size in Integrated Circuits (ICs) has been scaling down aggressively, thereby posing more challenges in their manufacturability. …”
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A Deep Learning based Optimization Model for Based Computer Interface of Wheelchair Directional Control by Zaid Raad Saber Zubair

“… An efficient recognition model is highly recommended while trying to analyze brain signal pattern for Motor Imagery (MI) signal. Therefore, this study aims to develop an optimized model based on a deep learning approach using Multi-Layer Perceptron (MLP) in order to help a large community of disability people by allowing them to control the wheelchair using their MI Brain signal. …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…The model proposed uses the state-of-art algorithms including the decision trees, support vector machines and the deep learning techniques in the feature extraction and pattern recognition as well as binary classification. …”
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Annual global dengue dynamics are related to multi-source factors revealed by a machine learning prediction analysis. by Haoyu Long, Yilin Chen, Jingru Feng, Jian Chen, Xue Zhang, Wenjie Han, Min Kang, Xiangjun Du

“…Risk factors associated to dengue were identified, including the occurrence of Aedes mosquitoes, changes in the predominant serotype, and the prevalence of anemia. Feature contribution pattern was different between hyperendemic and non-hyperendemic regions. …”
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Experience with Early Enteral Feeding in a Patient with Venoarterial Extracorporeal Membrane Oxygenation by V. V. Lomivorotov, S. M Yefremov, A. V. Bogachev, I. A. Kornilov

“…Objective: to study the specific features of the mechanisms responsible for the development of acute renal failure (ARF) in low and ELBW neonates and to use an analysis of oxygen status parameters as a method for early diagnosis of neonatal ARF. …”
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Human microbiome, applied to clinical practice by V. T. Ivashkin, K. V. Ivashkin

“…The theory and practice of microbiome causes high potential for justification of the pattern of healthy nutritional pattern, behavior and development of new therapeutic agents.…”
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Multivariate quantitative analysis of glycan impact on IgG1 effector functions by Tamara Cvijić, Matej Horvat, Jakob Plahutnik, Ana Golob, Jaka Marušič

“…The intercorrelated nature of glycan patterns, combined with the low variability and lack of well-defined glycan patterns in process development and manufacture samples, makes studying the effects of individual glycan structures challenging. …”
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Driving factors of fragmentation in urban landscapes: Local contributions, spatial relationships, and causal effects by Simin Jiang, Fei Feng, Xinna Zhang, Chengyang Xu, Baoquan Jia, Raffaele Lafortezza

“…Understanding the drivers of fragmentation is crucial for developing sustainable urban planning strategies. This study investigates the spatial patterns and driving mechanisms of landscape fragmentation in Nanchang, China, a rapidly urbanizing city. …”
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