Effects of 2D/3D Urban Morphology on Cooling Effect Diffusion of Urban Rivers in Summer: A Case Study of Huangpu River in Shanghai by Yuhui Wang, Shuo Sheng, Junda Huang, Yuncai Wang

“…The study found that (1) river cooling effect diffusion was heterogeneous, with four typical patterns; (2) the Landscape Shape Index (LSI) and Blue-green Space Ratio (BGR) significantly impacted cooling effect diffusion; and (3) optimal cooling effect diffusion occurred when the blue-green space occupancy ratio exceeded 20% and building density ranged from 0.1 to 0.3. …”
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APPLICATION OF MORAN’S I STATISTICS IN SPATIAL ANALYSIS OF ARCHAEOLOGICAL SITES OF THE SARFIROUZABAD PLAIN, CENTRAL ZAGROS, IRAN by Mohsen HEYDARI DASTENAEI, Kamal Adin NIKNAMI

“…Exploratory spatial data analysis is a method for studying random and non-random spatial distribution patterns of these variables, and spatial autocorrelation is one of the most practical and substantial analytical tools for research on spatial data. …”
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Mapping gender networks of smartphone addiction and academic procrastination: a network analysis study by Lu Song, Zhilin Liu, Yujia Yang, Shuangshuang Yuan

“…The findings reveal the complexity of gender differences in behavioral patterns and psychological mechanisms, moving beyond the limitations of previous research that primarily focused on mean-level differences. …”
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Model-based assessment of carbon dioxide removal effect through different ocean alkalinity enhancement technologies by Yang Chonggang, Feng Ellias Y.

“…By comparing three OAE technologies, namely, Hydroxide Ocean Liming (HOL), Limestone CO2 Leaching (LCL), and Olivine Ocean Dumping (OOD), key findings reveal distinct performance patterns. HOL achieves the most pronounced atmospheric CO2 reduction, lowering concentrations by -484.1 ppm by 2099, followed by OOD (-449 ppm), while LCL exhibits weaker net mitigation (-242.3 ppm) due to carbon release from mineral dissolution. …”
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Missing Categorical Data in Sociological Surveys: An Experimental Evaluation of Imputation Techniques by Yaroslav Kostenko, Andrii Gorbachyk

“…We developed a simulation framework, introducing missingness under Missing Completely at Random, Missing at Random, derived from patterns of item nonresponse on auxiliary variables, and Missing Not at Random: linked to the undisclosed party choice itself. …”
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An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification by R. Karthik, R. Aswin, K. S. Geetha, K. Suganthi

“…The PVT effectively models long-range dependencies, identifying disease patterns across larger leaf areas, while the GCADSN focuses on capturing nuanced, context-specific features. …”
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Consumer preference and food values: can consumers in Tanzania play part in driving a sustainable food system? by Roselyne Alphonce, Yun Yun Gong, Hettie C. Schönfeldt, Lise Korsten

“…Notably, their understanding of safety centers on hygiene and spoilage, issues affecting short-term health, over long-term risks like aflatoxin, pesticide residues, and antimicrobial resistance. These patterns are consistent across consumer groups, though some variation emerges across different shopping contexts. …”
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YOLOX-S-TKECB: A Holstein Cow Identification Detection Algorithm by Hongtao Zhang, Li Zheng, Lian Tan, Jiahui Gao, Yiming Luo

“…Therefore, this paper proposes a cow identification method based on YOLOX-S-TKECB. (1) Based on the characteristics of Holstein cows and their breeding practices, we constructed a real-time acquisition and preprocessing platform for two-dimensional Holstein cow images and built a cow identification model based on YOLOX-S-TKECB. (2) Transfer learning was introduced to improve the convergence speed and generalization ability of the cow identification model. (3) The CBAM attention mechanism module was added to enhance the model’s ability to extract features from cow torso patterns. (4) The alignment between the apriori frame and the target size was improved by optimizing the clustering algorithm and the multi-scale feature fusion method, thereby enhancing the performance of object detection at different scales. …”
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Fault Detection for Power Batteries Using a Generative Adversarial Network with a Convolutional Long Short-Term Memory (GAN-CNN-LSTM) Hybrid Model by Shaofan Liu, Tianbao Xie, Yanxin Li, Siyu Liu

“…Then, the CNN-LSTM module directly processes raw multivariate time-series data, combining the capability of CNN in extracting local spatial patterns with the LSTM strength in modeling temporal dependencies, enabling accurate identification of battery faults. …”
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Research on Collaborative Governance Mechanism of Air Pollutant Emissions in Ports: A Tripartite Evolutionary Game Analysis with Evidence from Ningbo-Zhoushan Port by Kebiao Yuan, Lina Ma, Renxiang Wang

“…This research provides a dynamic decision-making framework for multi-agent collaborative emission reduction in ports, offering both methodological innovation and practical guidance value.…”
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Identifying Hubs Through Influential Nodes in Transportation Network by Using a Gravity Centrality Approach by Worawit Tepsan, Aniwat Phaphuangwittayakul, Saronsad Sokantika, Napat Harnpornchai

“…The results show that HCGC not only preserves the strengths of traditional local approaches but also captures broader structural patterns, making it a powerful and practical tool for real-world network analysis.…”
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Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study by Vladimir Koković, Kosta Pavlović, Andjela Mijanović, Slavko Kovačević, Ivan Mačužić, Vladimir Božović

“…Leveraging the extensive data generated by these facilities offers opportunities for gaining competitive advantages through data-driven insights, revealing trends, patterns, and predicting future performance indicators like unplanned downtime length, which is essential in optimizing maintenance and minimizing potential losses. …”
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Integrating Maqasid Shariah in Enhancing MSME Business Sustainability in the Digital Economy by Kholid Albar, Amiruddin K, Wahyuddin Abdullah

“…Thematic analysis was used to identify patterns and key themes related to the integration of Maqasid Sharia in performance measurement. …”
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New Energy Policies and Informal Cultural Norms Promoting Carbon Equity in Chinese Cities: Synergistic Effects and Regional Heterogeneity by Zixuan Yang, Huang Yu, Jingqiu Zhang

“…Key findings reveal: (1) China has been accompanied by a rise in carbon distribution inequity measured through the cumulative distribution patterns of carbon emissions and economic outcomes, highlighting the equity-efficiency trade-off. (2) The NEDC policy, while advancing energy transition, inadvertently exacerbates urban carbon inequity. …”
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Evaluation and Optimization Strategies for Provincial Culture and Tourism Integration from the Perspective of Landscape Narrative: A Case Study of Anhui Province, China by Yunxi Hong, Li Tu, Minghe Wan

“…Landscape narrative theory, which focuses on the interaction between space, culture, and human experience, provides a practical and interdisciplinary framework for guiding the integration of culture and tourism. …”
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DISKURSO SĄVOKA SOCIOLOGINIAME-ISTORINIAME AKADEMINĖS DISCIPLINOS TYRIME (metodologinės pastabos) by Liutauras Kraniauskas

“…Foucault's archeology of knowledge emphasize social practices of discourse production; analysis of scientific discourses (N. …”
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Development and Evaluation of an Eco-Friendly Hand Sanitizer Formulation Valorized from Fruit Peels by J. Verma, R. Mishra, A. Mazumdar, R. Singh, N. Sh. El-Gendy

“…Hand sanitizer usage has proven to be a common and practical method for reducing the spread of infectious diseases which can be caused by many harmful pathogens. …”
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A bibliometric review exploring the nexus between sustainability and food entrepreneurship by M. Ajay Adithya, R. Geetha, S. Sundar

“…However, the study also identifies underrepresentation of Global South perspectives and a lack of integration between theoretical frameworks and empirical patterns. Anchored in the Sustainable Food Entrepreneurship Framework, the Triple Bottom Line, and Stakeholder Theory, this review interprets the intellectual landscape of SFE through a theory-informed lens. …”
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General Theoretical Provisions of Forensic Psychology by O. M. Tsilmak

“…It has been noted that forensic psychology is an independent branch of legal psychology that studies psychological patterns and mechanisms of the development of processes and phenomena that arise during the performance of judicial activity. …”
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An iterative design of ubiquitous learning modules for enhancing digital pedagogy in the Sekolah Penggerak by Pratama Benny Herlandy, Wandi Syahfutra

“…Quantitative data were analyzed using descriptive statistics (mean and standard deviation) to describe patterns of teacher readiness, student engagement, satisfaction, and module usability. …”
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