A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Des... by Biao Yin, Lijun Wang, Yuan Xu, Kiang Chye Heng

“…With the transformation of urban development patterns and profound changes in population structure in China, outdoor activity spaces in residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, and intergenerational conflicts, which severely impact residents’ quality of life and hinder high-quality urban development. …”
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Machine learning based screening of biomarkers associated with cell death and immunosuppression of multiple life stages sepsis populations by Jie Yang, Fanyan Ou, Binbin Li, Lixiong Zeng, Qiuli Chen, Houyu Gan, Jianing Yu, Qian Guo, Jihua Feng, Jianfeng Zhang

“…The SHAP algorithm was further used to quantify the contribution of each gene based on cell death features to the prediction of sepsis. Key PCD patterns were identified based on model evaluation metrics (Accuracy, Precision, Recall, F1 score, and Receiver Operating Characteristic Curve ROC), and their associated DEGs were obtained through intersection, followed by immune-related analysis of DEGs. …”
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Petrogenesis, geodynamic setting, age of Rhyacian igneous rocks, from Nampala gold deposit: Implications for the crustal growth of the Birimian terrain in southern Mali by Sory I.M. Konate, Mamadou L. Bouare, Anthony T. Bolarinwa, Daniel Kwayisi, Raymond Webrah Kazapoe, Elhadji Mory Traore, N.’Tcha Daniel Kouagou N’Dah

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Identification of the Casparian strip integrity factor (CIF) gene family in Brassica napus and functional prediction of mature CIF small peptides by Miao Cheng, Hanbing Hu, Rui Chen, Ling He, Shanshan Wang, Yuling Zheng, Jiten Yadav, Hosam O. Elansary, Nisha Jaswal, Deepak Bhanot, Changli Zeng, Xiaoyun Liu

“…Abstract Background Small peptides of the CIF family act as signaling molecules and participate in important signaling pathways, playing crucial roles in the processes of plant development and the environmental response. However, the CIF family has not been identified in the allopolyploid Brassica napus. …”
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Profiling antivaccination channels in Telegram: early efforts in detecting misinformation by Aelita Skarzauskiene, Monika Maciuliene, Aiste Dirzyte, Gintare Guleviciute

“…This study addresses the methodological gap in capturing and analysing misinformation on Telegram, with a particular focus on the anti-vaccination community.MethodsThe research was conducted in three phases: (1) a structured review of literature on misinformation dissemination via Telegram, (2) development of a conceptual framework incorporating features of message creators, message content, intended targets and broader social context, and (3) application of this framework to anti-vaccination Telegram channels using latent profile analysis (LPA). …”
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"Quattuor sanctissimi episcopi": not just St. Patrick by O. A. Kuchtenkova

“…The aim of the article is to place the aforementioned Saints within the life of the Irish society and Church; distill their distinctive features, spiritual, and social role within the early Medieval Church of Ireland (by analysing narrative patterns, genealogies, and mentions); and describe the development of their modern-day cult. …”
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A Novel Chaotic Neural Network Using Memristive Synapse with Applications in Associative Memory by Xiaofang Hu, Shukai Duan, Lidan Wang

“…The proposed memristive CNN has four significant features: (1) nanoscale memristors can simplify the synaptic circuit greatly and enable the synaptic weights update easily; (2) it can separate stored patterns from superimposed input; (3) it can deal with one-to-many associative memory; (4) it can deal with many-to-many associative memory. …”
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A bikeshare station area typology to forecast the station-level ridership of system expansion by Steven R. Gehrke, Timothy F. Welch

“…This study of the Washington, DC, metro region’s Capital Bikeshare (CaBi) program answers this call by performing a latent class cluster analysis to identify five bikeshare station area types based on variation in a set of land development pattern, urban design, and transportation infrastructure features. …”
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On the role of knowledge graphs in AI-based scientific discovery by Mathieu d’Aquin

“…Indeed, the ability of such models to extrapolate from data, seemingly finding unknown patterns relating implicit features of the objects under study to their properties can, at the very least, help accelerate and scale up those studies as demonstrated in fields such as molecular biology and chemistry. …”
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Coastal environmental changes in Ninh Thuan Province, South-Central Vietnam. by Bijeesh Kozhikkodan Veettil, Siham Acharki, Vikram Puri, Vanna Teck

“…Future studies should investigate the socio-economic implications of these changes and evaluate restoration strategies for sustainable coastal development.…”
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CIRCUIT-DESIGN SOLUTIONS AND INFORMATION SUPPORT OF CITY ELECTRIC NETWORKS IN THE CONDITIONS OF THE SMART GRID by M. I. Fursanov

“…Therefore, the present article presents and features the main directions of development of automatic control modes of the SMART GRID.…”
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Designed for safety: characteristics and trends in crime prevention through environmental design research by Yu Wen, Hong Qi, Tao Long, Xinjia Zhang

“…This helps to propose crime prevention strategies for new social issues and crime patterns, thereby providing strong support for the sustainable development of cities.…”
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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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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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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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Phonological category resolution: a study of handshapes in younger and older sign languages by Assaf Israel, Wendy Sandler

“…Our methodology measures the degree of cross-signer consensus with respect to each meaningless phonetic feature of handshape as well as the number of variants (indicating the range of variation), and reveals a consistent pattern across the three languages: The largest amount of variation is found in ABSL; ISL is next; and ASL shows the least amount of cross-signer variation in production of the handshape category. …”
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