Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities by K. V. Mulyukova, I. V. Mulyukov, V. M. Kureichik

“…Thereby, methods for effectively solving the set practical task of processing and searching for patterns in a large data array were proposed: «metahouse» abstraction, data aggregator.Tabular data were obtained for a large city by analyzing three million records containing more than 10 data groups, with a basic set of parameters: floor, number of floors, price, area, living area, kitchen area, type, operation. …”
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Peculiarities of teaching students with mosaic thinking by S. A. Polevoy, V. V. Pavlova

“…Changing the content of the educational process is done through updating standard methods and patterns of education, wide use of innovation approaches, intensifying cooperation and online collaboration of the teacher and the student in the process of study. …”
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Challenges of continuous cropping in Rehmannia glutinosa: Mechanisms and mitigation measures by Tao Gan, Zhaofeng Yuan, Williamson Gustave, Tianyu Luan, Lizhi He, Zhemin Jia, Xinyu Zhao, Shuo Wang, Yun Deng, Xiaokai Zhang, Feng He

“…Approaches such as variety selection, optimized crop rotation patterns, and the application of plant growth-promoting rhizobacteria are discussed in the article. …”
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Monitoring of questing tick species distribution in Galicia, north-western Spain, over a period of 5.5 years by María Vilá Pena, Inês Abreu Ramos, Génesis Bautista García, Elvira Íñiguez Pichel, Cristiana Cazapal Monteiro, José Ángel Hernández Malagón, Adolfo Paz Silva, Rita Sánchez-Andrade Fernández, María Sol Arias Vázquez

“…Ixodes ricinus (57.90%), Rhipicephalus sanguineus (sensu lato) (26.05%), Dermacentor reticulatus (10.95%), Dermacentor marginatus (2.10%), Haemaphysalis sp. (2.61%), and Rhipicephalus bursa (0.36%). A seasonal pattern was recorded, with the relative abundance of I. ricinus and R. sanguineus (s.l.) peaking in spring-summer, and that of Dermacentor spp. and Haemaphysalis sp. peaking in autumn-winter. …”
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Heart disease prediction using autoencoder and DenseNet architecture by Norah Saleh Alghamdi, Mohammed Zakariah, Achyut Shankar, Wattana Viriyasitavat

“…This methodology can improve clinical decision-making and patient outcomes in cardiovascular care by accurately finding and defining complex patterns within the data. Notwithstanding these encouraging outcomes, our investigation has constraints. …”
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Machine learning-based prediction of scale formation in produced water as a tool for environmental monitoring by Arash Tayyebi, Ali Alshami, Erfan Tayyebi, Ademola Owoade, MusabbirJahan Talukder, Nadhem Ismail, Zeinab Rabiei, Xue Yu, Glavic Tikeri

“…Machine learning (ML) as a data-driven method is a powerful tool for uncovering hidden patterns in experimental data necessary for decision-making on scale formation predictions by analyzing the complex relationships between mainly the water chemistry and the pH. …”
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Temporal Coupling of Brain Signals and Fine Motor Output Using Affordable EEG by Adam Gyula Nemes, Adam Gyulai, Adam Szarvas, Erno Nemeth, Kristof Tajti, Viktor Toth, Gyorgy Eigner

“…This multimodal approach enhances dataset quality by enabling millisecond-precise alignment between stimulus presentation, cortical activation patterns, and resultant motor behavior—a critical feature lacking in most publicly available motor-related EEG datasets. …”
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Mapping the research landscape of PET/CT in lymphoma: insights from a bibliometric analysis by Die Zhang, Jianding Peng, Yingjie Zhu, Qiang Gong, Qing Wang, Chaodong Xiang, Hanjian Du, Xiaofei Hu

“…ObjectiveThis study provides a comprehensive bibliometric analysis of research trends in Positron Emission Tomography/Computed Tomography (PET/CT) applications for lymphoma, aiming to identify key contributors, emerging topics, and collaboration patterns within the field.MethodsData from the Web of Science Core Collection (2004–2024) were analyzed. …”
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Understanding forest fragmentation dynamics and identifying drivers for forest cover loss using random forest models to develop effective forest management strategies in North-East... by Soumik Mahapatra, Bishal Kumar Majhi, Mriganka Shekhar Sarkar, Debajit Datta, Arun Pratap Mishra, Upaka Rathnayake

“…Forest fragmentation patterns and loss were analyzed using spatial metrics derived from FRAGSTATS to assess ecological impacts. …”
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Bacterial Meningoencephalitis in Newborns by Alessia Guarnera, Giulia Moltoni, Francesco Dellepiane, Giulia Lucignani, Maria Camilla Rossi-Espagnet, Francesca Campi, Cinzia Auriti, Daniela Longo

“…Moreover, we tried identifying some peculiar MRI patterns related to some bacteria.…”
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Associations of daily step counts with depressive symptoms during pregnancy: Ruian birth cohort study by Wenyi Zhang, Qiuqiu Mu, Peijun Chen, Yinyin He, Yexinyi Zhou, Jiawei Fang, Chenjun Tang, Jing Guo, Wenjun Du, Lin Lin, Guangdi Chen

“…Conclusion Distinct patterns of association between second-trimester daily step counts and depressive symptoms in the second and third trimesters highlight the potential mental health benefits of maintaining higher daily step counts. …”
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Insights into quinoa endophytes: core bacterial communities reveal high stability to water stress and genotypic variation by Isaac Maestro-Gaitán, Miguel Redondo-Nieto, Sara González-Bodí, Laura Rodríguez-Casillas, Javier Matías, Luis Bolaños, María Reguera

“…Tissue specificity emerged as a key factor, with seeds maintaining a stable microbial community, while roots exhibited more pronounced shifts, highlighting the tissue-dependent patterns of microbial enrichment. Conclusions The results highlight the stability and conservation of endophytic communities in quinoa seeds, even under varying water conditions and across different genotypes, emphasizing the role of tissue specificity in shaping microbial associations. …”
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Experiment and Numerical Study on the Flexural Behavior of a 30 m Pre-Tensioned Concrete T-Beam with Polygonal Tendons by Bo Yang, Chunlei Zhang, Hai Yan, Ding-Hao Yu, Yaohui Xue, Gang Li, Mingguang Wei, Jinglin Tao, Huiteng Pei

“…This paper conducted a full-scale experiment and numerical simulation research on a 30 m pre-tensioned, prestressed concrete T-beam with polygonal tendons practically used in engineering. The full-scale experiment applied symmetrical four-point bending to create a pure bending region and used embedded strain gauges, surface sensors, and optical 3D motion capture systems to monitor the beam’s internal strain, surface strain distribution, and three-dimensional displacement patterns during loading. …”
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Soil Erosion by Wind Storms in a Pampean Semi-Arid Region of Argentina: An Environmental Magnetism Approach by Brenda Alba, Marcos A. E. Chaparro, Andrea A. Bartel, Harald N. Böhnel, Silvia B. Aimar

“…Environmental magnetism methods offer a practical approach to assessing soil redistribution by wind and water. …”
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Color QR Codes for Smartphone-Based Analysis of Free Chlorine in Drinking Water by María González-Gómez, Ismael Benito-Altamirano, Hanna Lizarzaburu-Aguilar, David Martínez-Carpena, Joan Daniel Prades, Cristian Fàbrega

“…QR Codes are powerful machine-readable patterns that are used worldwide to encode information (i.e., URLs or IDs), but their computer vision features allow QR Codes to act as carriers of other features for several applications. …”
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Historicizing Natural Hazards and Human-Induced Landscape Transformation in a Tropical Mountainous Environment in Africa: Narratives from Elderly Citizens by Violet Kanyiginya, Ronald Twongyirwe, David Mubiru, Caroline Michellier, Mercy Gloria Ashepet, Grace Kagoro-Rugunda, Matthieu Kervyn, Olivier Dewitte

“…Here, we build upon a citizen-based elderly approach to understanding natural hazard patterns and landscape transformation in a tropical mountainous environment, the Kigezi Highlands (SW Uganda). …”
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Sub-activity analysis by using wristband-type wearable health devices to measure construction workers’ physical demands by Jiayao Wang, JoonOh Seo, Yue Gong, Ming-Fung Fransic Siu, Sungjoo Hwang, Masood Khan

“…Results revealed significant workload variations between task types and work patterns. For instance, stationary tasks (‘work without moving’) strongly influenced %HRR for rebar workers, while dynamic tasks (‘work with moving’) had a greater impact on form workers. …”
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Mixed photonic/electronic neural network based on microLED arrays by M Müller, R Kraneis, N Kälin, N von Malm, A Waag, C Werner

“…Activations are represented by patterns of incoherent light generated by microLED arrays. …”
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Special Welfare and Ethical Requirements for Infectious Animal Experiments by MIN Fangui, FU Hongkun, LIU Yonggang, LIU Xiangmei, LIU Zhonghua, LI Yao, TAO Yufeng

“…Infectious disease animal models serve as indispensable tools for understanding the transmission patterns, pathogenesis, and anti-infective medicine. …”
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Analysis on characteristics and mechanism for rock fracture in deep rock with cracks under dynamic-static coupling effect by Jinjin Ge, Yongqi Jia, Wei Huang, Meilu Yu, Suqian Ni, Ying Xu, Leilei Yu, Keke Gu

“…This study aims to investigate how the presence of pre-existing cracks and different stress states affect the mechanical properties and fracture patterns of rock-like specimens under dynamic loading conditions. …”
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