An adaptive search mechanism with convolutional learning networks for online social media text summarization and classification model by Reema G. AL-anazi, Muhammad Swaileh A. Alzaidi, Majdy M. Eltahir, Hassan Alkhiri, Samah Hazzaa Alajmani, Abdulbasit A. Darem, Mohammed Alshahrani, Nawaf Alhebaishi

“…Abstract The fast development of social media platforms has led to an unprecedented growth of daily short text content. …”
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Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture by Gaowei Yan, Luguang Jiang, Ye Liu

“…Within this fragile balance lies a critical opportunity: efficient water resource management could pave the way for sustainable development across the entire arid oasis regions. This study uses a decision tree model based on a feature threshold to map the spatial distribution of major crops in the Altay Prefecture oasis, assess their water requirements, and identify the coupling relationships between agricultural water and land resources. …”
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Technology of decision-making in process management of the non-productive sphere by O. M. Kulikova

“…The article describes author's technology of acceptance of administrative decisions in process management in non-production sphere that contains two algorithms: the algorithm of detecting patterns and forecasting, algorithm development management decisions in the form of options. …”
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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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CD2AP at the junction of nephropathy and Alzheimer’s disease by Milene Vandal, Mohsen Janmaleki, Isabel Rea, Colin Gunn, Sotaro Hirai, Jeff Biernaskie, Justin Chun, Grant Gordon, Andrey Shaw, Amir Sanati-Nezhad, Gerald Pfeffer, Frederic Calon, Minh Dang Nguyen

“…Abstract Polymorphisms in the gene encoding CD2-associated protein (CD2AP) are associated with an increased risk for developing Alzheimer’s disease (AD). Intriguingly, variants in the gene also cause a pattern of kidney injury termed focal segmental glomerulosclerosis. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…Machine learning algorithms were utilized combined with different audio feature sets to analyze these recordings in conjunction with PHQ-4 questionnaire scores. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…Specifically, a global context attention network is developed for capturing multiple-scale features, and a local context attention network is designed for specific tasks. …”
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Natural and anthropogenic noise shape bat activity and sonar behavior by Ryan Vosbigian, Ryan Wardle, Hannah S. Rempel, Ellie Brauer, Michael Huggins, Samantha West, Joshua S. Willems, Clinton D. Francis

“…Overall, we found evidence that temporal patterning of noise may strongly influence bat activity and that signaling in noise may involve trade‐offs among call features.…”
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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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Diagnostic imaging modalities in the study of hepatic alveolar echinococcosis: A review of literature by Iliar Baudinov, Aliya Kadyrova, Kubat Ibraimov, Prabha K C, Bakhadyr Bebezov, Sezdbek Aitbaev, Tilek Umetaliev, Kursanbek Raimkulov

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Bioinformatics and Functional Validation of <i>CqPRX9L1</i> in <i>Chenopodium quinoa</i> by Hongxia Guo, Linzhuan Song, Yufa Wang, Li Zhao, Chuangyun Wang

“…Bioinformatics analysis revealed that <i>CqPRX9L1</i> encodes a 349-amino acid protein belonging to the plant-peroxidase-like superfamily, featuring a transmembrane domain and cytoplasmic localization. …”
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A Smartphone-Based Non-Destructive Multimodal Deep Learning Approach Using pH-Sensitive Pitaya Peel Films for Real-Time Fish Freshness Detection by Yixuan Pan, Yujie Wang, Yuzhe Zhou, Jiacheng Zhou, Manxi Chen, Dongling Liu, Feier Li, Can Liu, Mingwan Zeng, Dongjing Jiang, Xiangyang Yuan, Hejun Wu

“…Based on the lightweight MobileNetV2 network, a Multi-scale Dilated Fusion Attention module (MDFA) was designed to enhance the robustness of color feature extraction. A Temporal Convolutional Network (TCN) was then used to model dynamic patterns in chemical indicators across spoilage stages, combined with a Context-Aware Gated Fusion (CAG-Fusion) mechanism to adaptively integrate image and chemical temporal features. …”
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Prevention and Control of Hydrogen Sulphide Accidents in Mining Extremely Thick Coal Seam: A Case Study in Wudong Coal Mine by Xuchao Huang, Enmao Wang, Gang Wang, Jiuyuan Fan

“…In this study, we theoretically modelled hydrogen sulphide generation in extremely thick underground coal mines with the +575 level #45 coal seam of Wudong Coal Mine as an example and obtained the on-site hydrogen sulphide emission pattern and spatial distribution features by combining field measurements and computational fluid dynamics simulation. …”
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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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Assessing remote learning's feasibility: A comprehensive analysis of Philippine public-school teachers’ use of learning management systems and blended learning approaches by Mark Jhon Prestoza

“…An examination of the features of Google Classroom, Google Apps for Education, and Google Docs file templates reveals a wide range of use patterns among instructors, ranging from seldom to regular utilization. …”
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MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors by Abena Achiaa Atwereboannah, Wei-Ping Wu, Mugahed A. Al-antari, Sophyani B. Yussif, Chukwuebuka J. Ejiyi, Edwin K. Tenagyei, Grace-Mercure B. Kissanga, Gyarteng S. A. Emmanuel, Yeong Hyeon Gu, Emmanuel Ahene

“…Specifically, the Fingerprint Encoder Network (FEN) processes molecular fingerprints, the Graph Encoder Network (GEN) extracts structural features from graph-based representations, and the Protein Encoder Network (PEN) captures sequential patterns from protein sequences. …”
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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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Car dependency beyond land use: Can a standardized built environment indicator predict car use? by Eva Van Eenoo, Koos Fransen, Kobe Boussauw

“…Our findings illustrate that frequent and intensive car use is not an exclusive feature of suburban and rural residents in Flanders, or of those who travel long distances. …”
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