Acceptability of an AI-enabled family module in a mobile app for enhanced diabetes management: Patient and family perspectives by Sungwon Yoon, Rena Lau, Yu Heng Kwan, Huiyi Liu, Razeena Sahrin, Jie Kie Phang, Yichi Zhang, Nicholas Graves, Lian Leng Low

“…Objective To explore the acceptability of family support through an AI-enabled mobile app and identify preferences for its novel family module features among patients with type 2 diabetes (T2DM) and family members. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…Feature extraction is later employed to identify patterns and characteristics commonly associated with SQL injection, such as certain SQL clauses and logical operators. …”
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Geospatial analysis of sports tourism resources in China's urban clusters: a case study of the Sichuan-Chongqing region utilizing GIS and the geographic detector by Xuefeng Tan, Zhiheng Liu, Lizhen Shi, Xiaoling Huang

“…IntroductionThis study aims to elucidate the temporal and spatial distribution patterns of sports tourism resources within the Sichuan-Chongqing Urban Agglomeration, examining how these distributions reflect the developmental pathways of urban regions. …”
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Corruption and neo-colonialism in Latin America by Nubia Nieto

“…The roots of corruption in underdeveloped countries can be traced from Colonial times from South America, Asia to Africa the pattern seems to be repeated: populations subjugated to new masters, disenfranchised indigenous people, labour and sexual exploitation, brutal punishments for those who resisted colonial power were commune features for countries that experienced colonialism. …”
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Evolutionary analysis of landscape ecological risk in Baili Rhododendron National Forest Park. by Yin Yu, Wengang Cui, Suihua Liu, Ting Yu, Yang Song

“…With the support of the landscape ecological risk evaluation model and spatial analysis methods, the features of spatial and temporal differentiation of ecological risk and its spatial correlation in the study area were evaluated. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Compared with traditional methods—such as deep neural networks, support vector machines, and linear regression—the proposed model effectively integrates static and dynamic agricultural data. Static features, including farmland distribution and soil types, are extracted using Convolutional Neural Networks, while temporal trends in variables such as weather patterns and policy changes are captured by the Long Short-Term Memory network. …”
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Rspo3-mediated metabolic liver zonation regulates systemic glucose metabolism and body mass in mice. by Kenji Uno, Takuya Uchino, Takashi Suzuki, Yohei Sayama, Naoki Edo, Kiyoko Uno-Eder, Koji Morita, Toshio Ishikawa, Miho Koizumi, Hiroaki Honda, Hideki Katagiri, Kazuhisa Tsukamoto

“…The unique architecture of the liver consists of hepatic lobules, dividing the hepatic features of metabolism into 2 distinct zones, namely the pericentral and periportal zones, the spatial characteristics of which are broadly defined as metabolic zonation. …”
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Modelling the species-area relationship using extreme value theory by Luís Borda-de-Água, M. Manuela Neves, Luise Quoss, Stephen P. Hubbell, Filipe S. Dias, Henrique M. Pereira

“…Despite its significance, the theoretical foundations of this pattern remain incompletely understood. Here, we develop a theory for the species-area relationship using extreme value theory, and show that the species-area relationship is a mixture of the distributions of minimum distances to a starting sampling focal point for each individual species. …”
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Assessment of freeze-thaw erosion by retrogressive thaw slump on the Qinghai-Tibet Plateau combined with geophysical methods by Chenglong Jiao, Fujun Niu, Peifeng He, Jing Luo, Fan Yu

“…This study presents a high-resolution geophysical investigation of RTS development in the Beiluhe River Basin, QTP. Using a multi-methodological approach, we quantitatively assess freeze-thaw erosion processes by characterizing lithostratigraphy, ground ice distribution, hydrogeological properties, and deformation patterns across the RTS. …”
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An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System by Nana Rachmana Syambas

“…A simple powerful algorithm to extract feature parameters of object which is based on linear extrapolation is proposed. …”
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A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images by Pinar Gundogan Bozdag, Hurşit Burak Mutlu, Mucahit Karaduman, Muhammed Yildirim, M. Attique Khan, Shrooq Alsenan, Jamel Baili, Yunyoung Nam

“…In the proposed method, feature extraction was performed using DarkNet53, Histogram of Oriented Gradients (HOG), and Local Binary Patterns (LBP). …”
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The effect application of nitrogen levels and intercropping ratios of pea (Pisum sativum) and lettuce (Lactuca sativa) by Elham Raftari, Ali Nakhzari Moghaddam, Mehdi Mollashahi, Hossein Hosseini Moghaddam

“…Introduction    The practice of growing two or more crops simultaneously in the same field is called intercropping and it is a common feature in traditional farming of small landholders. …”
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Sensor-Based Monitoring Data from an Industrial System of Centrifugal Pumps by Angelo Martone, Alessia D’Ambrosio, Michele Ferrucci, Assuntina Cembalo, Gianpaolo Romano, Gaetano Zazzaro

“…<b>Conclusions</b>: This dataset supports advanced methodologies in feature extraction, multivariate signal analysis, unsupervised pattern discovery, vibration analysis, and the development of digital twins and soft sensing models for predictive maintenance optimization.…”
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DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila. by Manuel Guillermo Forero, Anabel R Learte, Stephanie Cartwright, Alicia Hidalgo

“…Drosophila is a most powerful model organism to investigate the function of genes involved in development or disease in vivo. Image processing and pattern recognition techniques can be used to extract information from microscopy images to quantify automatically distinct cellular features, but these methods are still not very extended in this model organism. …”
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Self-Adaptive Deep Learning Framework for Non-Intrusive Load Monitoring: Addressing Aging Appliance Challenges With Transfer Learning and Pseudo Labeling by W. A. Yasodya, S. M. L. Arampola, M. S. K. Nisakya, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

“…Unlike traditional NILM models, this approach incorporates a unique self-adaptive feature that enables the model to automatically adapt to changing power patterns resulting from aging appliances. …”
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Applications of gene pair methods in clinical research: advancing precision medicine by Changchun Wu, Xueqin Xie, Xin Yang, Mengze Du, Hao Lin, Jian Huang

“…To bridge methodological development with practical implementation, we establish a reproducible analytical pipeline incorporating feature selection, classifier construction, and model evaluation modules using real-world benchmark datasets from pulmonary tuberculosis studies. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Subsequently, it details the core steps of data-driven methods, including the acquisition of operational data from various sensors (e.g., vibration, acoustic, strain), signal preprocessing methods, signal processing and feature extraction techniques covering time-domain, frequency-domain, time–frequency domain combination, and modal analysis among others, and the use of machine learning and artificial intelligence models for fault pattern learning and diagnosis. …”
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Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023) by Jian-cheng Lou, Xiao-fen Yu, Jian-jun Ying, Da-qiao Song, Wen-hua Xiong

“…“deep learning,” “magnetic resonance imaging,” and “stroke” emerged as the most attention-gathering keywords among researchers. The development in this field is marked by a coexisting pattern of interdisciplinary integration and refinement within major disciplinary branches.ConclusionThe application of machine learning in the early prediction and personalized medical plans for stroke patients using neuroimaging characteristics offers significant value. …”
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Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes? by Yangxiaoyue Liu, Yaping Yang, Jia Song

“…Here, we investigate the evolutionary pattern of SM and then carry out an attribution analysis from climate and human perspectives. …”
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Spatial Characterization of Channeling in Sheared Rough‐Walled Fractures in the Transition to Nonlinear Fluid Flow by Robert Egert, Fabian Nitschke, Maziar Gholami Korzani, Thomas Kohl

“…In contrast, parallel to the shearing, a complex pattern of individual tortuous channels emerges, with flow occurring in 22% of the void space. …”
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