Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…As an extension of non-negative matrix factorization (NMF), graph-regularized non-negative matrix factorization (GNMF) has been widely applied in data mining and machine learning, particularly for tasks such as clustering and feature selection. …”
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Co-Infections and Their Prognostic Impact on Melioidosis Mortality: A Systematic Review and Individual Patient Data Meta-Analysis by Pakpoom Wongyikul, Wiyada Kwanhian Klangbud, Moragot Chatatikun, Phichayut Phinyo

“…Mixed-effects logistic regression models were used to estimate the causal association of each prognostic factor on the outcome. Directed acyclic graphs (DAGs) were used to guide confounding adjustment, and missing data were handled using multiple imputations. …”
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Determine the Key Factors of Tourism Development Based on Future Research Approach (Case Study: Mazandaran Province) by Parvin Dadazade- Silabi, Narges Ahmadifard

“…Then, using the structural analysis in the Micmac software, these factors were measured. Based on the results obtained from structural analysis in the graph, the dependent and influence of the variables in case study show that the factors of the service and infrastructure sector with the total score of 502, the most influential and social and cultural factors with a score of 192, have the least influential on the future of tourism development in the cities of Mazandaran province. …”
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Barriers and facilitators to scale-up of hospital-at-home: an observational cohort study protocol by Stephanie Q. Ko, Stephanie Q. Ko, Stephanie Q. Ko, Shi Yun Low, Nick Sevdalis

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Information security of business networks by A. S. Losev

“…On its basis, a methodology has been developed to determine the degree of openness of an entrepreneurial network to the influence of external factors for each agent of the network. …”
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A Human–Robot Team Knowledge-Enhanced Large Language Model for Fault Analysis in Lunar Surface Exploration by Hao Wang, Shuqi Xue, Hongbo Zhang, Chunhui Wang, Yan Fu

“…This process generates extensive task-related data, including various types of faults and influencing factors. However, these data are characteristic of multi-dimensional, time series, and intertwined. …”
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Computational modeling of infectious diseases: insights from network-based simulations on measles by Francesco Branda, Pierangelo Veltri, Francesco Chiodo, Massimo Ciccozzi, Fabio Scarpa, Pietro Hiram Guzzi

“…Therefore, they offer valuable insights into the factors influencing disease spread, enabling public health authorities to develop effective containment strategies. …”
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Evolution and mechanism of the trade network of global aluminum resource by ZHAO Guimei, WANG Xianxiang, GENG Yong

“…These countries had strong influence on the aluminum resource trade network. (2) The global aluminum resource trade exhibited distinct reciprocity, and the interaction of endogenous and exogenous factors jointly promoted the dynamic evolution of the global aluminum resource trade network. …”
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Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm by Lianhua Liu, Xiaodan Wang, Mei Gui, Feng Ju, Li Cao, Bo Bi

“…This study aims to explore the current status and influencing factors of multimorbidity in T2DM, with a focus on mining frequent disease combination patterns and strong association rules. …”
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Enhancing the Energy Efficiency of the Combined Forging Operations of Upsetting and Drawing out by Kolisnyk K.D., Chukhlib V.L.

“…The study investigates the influence of upsetting and drawing out forging parameters on the quality of hook forging and the energy efficiency of these processes. …”
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Building a Resilient Organization Through Informal Networks: Examining the Role of Individual, Structural, and Attitudinal Factors in Advice-Seeking Tie Formation by Xiaoyan Jin, Daegyu Yang, Wanlan Sun, Lian Xu

“…By analyzing the activation of informal advice networks, this study conceptualized advice-seeking networks as a critical informal system that enhances contextual resilience and examined the individual, structural, and attitudinal factors influencing their formation. Specifically, we hypothesized that employees with higher levels of Machiavellianism are more likely to engage in advice-seeking behaviors, whereas the relationship between Machiavellianism and advice-seeking behaviors is moderated by betweenness centrality and organizational commitment, such that the positive effect of Machiavellianism on advice-seeking is weaker when betweenness centrality or organizational commitment is high. …”
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Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis by Jiukai Zhao, Yuqi Yang, Juanxia Miao, Xue Wang, Dianjun Qi, Shuang Zang

“…Finally, agreeableness and educational level appeared upstream of the entire directed acyclic graph, directly influencing the level of trust in health information robots. …”
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Choice of the interval traffic control system in terms of increasing demands for the coverage of forecast traffic volumes by N. V. Kornienko, M. I. Mekhedov

“…The authors proposed a new approach for determining the traffic capacity by the situation modeling through the alternate graph of train traffic and in accordance with various factors effecting the traffic capacity. …”
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The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis by Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate

“…The studies that covered the prevalence and/or risk factors of ADHD in children were included in the collection. …”
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Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015–2018 by Danhui Mao, Junfang Mu, Yajing Li, Lu He, Qianhui Chai, Xin Zhao, Xiaojun Ren, Hui Cheng

“…However, current research on CMM pattern recognition often neglects the complex relationships among its influencing factors. Based on data from the National Health and Nutrition Examination Survey (NHANES) between 2015 and 2018, this study included 2,306 participants with an average age of 51 years, who suffered from at least two of the following conditions: hypertension, dyslipidemia, diabetes, chronic kidney disease (CKD), and hyperuricemia. …”
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Personalized Recommendation Algorithm for Cultural and Creative Products Based on Fuzzy Decision Support System by Lin Shi, Xiaoqing Yang

“…Hence, this study proposes a fuzzy context-aware neural recommendation algorithm (F-CANRA) to analyze consumers’ purchase behaviors regarding cultural and creative products (CCPs). A graph neural network (GNN) is established by studying users’ cultural and creative product-buying behavior. …”
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Risk factors analysis and nomogram development for myelosuppression in diffuse large B-cell lymphoma patients undergoing first-line chemotherapy: a dual-centre retrospective cohort... by Xuexing Wang, Rong Zhang, Haoling Xie, Jinsong Xu, Jie Chu, Chunmei Wei, Quanfang Chen

“…The study investigated the incidence of myelosuppression in all patients, identified independent factors influencing this condition through logistic regression analysis, and constructed and validated a nomogram. …”
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SPECIES COMPOSITION AND TERRITORIAL DISTRIBUTION OF BIRDS IN PIEDMONT DAGESTAN by E. V. Vilkov

“…It is established that the development of bird communities in the compared key areas has not only a similar but also distinctive ecological pattern, formed under the influence of such environmental factors as high‐altitude gradient, availability of warmth and water, forest area, rocky outcrops, as well as open areas and man‐made landscapes.Conclusion. …”
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Calculation Methodology and Results of Optimization of Design Parameters of the Tractor Recuperative Mounted System When Aggregated with Forest Tillage Implements by Valeryi I. Posmetyev, Maksim A. Savinkov, Viktor V. Posmetyev, Andrey Yu. Manukovskii, Vadim O. Nikonov

“…Based on computer experiments, analytical expressions have been obtained for the described functions, and graphs and cartograms of the influence of the main design parameters of the mounted system on the efficiency of its operation have been constructed using these expressions. …”
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