Theoretical justification of the model of search for optimal solutions in complex resource management systems by Roman A. Khalturin, Roman O. Sudorgin, Nikita S. Akinshin

“…The uncertainty of the informational component and influencing factors necessitates the use of effective analytical tools based on decision theory under uncertainty for the objective assessment and management of such systems. …”
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Aligning large language models and geometric deep models for protein representation by Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

“…We demonstrate that model performance strongly correlates with alignment quality, influenced by factors such as embedding dimensionality, projection head architecture, and protein rarity. …”
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Oral Health Among the Elderly: A Cross Sectional study of the PERSIAN Guilan Cohort by Maryam Rabiei, Amir Ghaderi, Saba Masoudirad, Saman Maroufizadeh, Mehrnaz Asgharnezhad, Mohammadreza Naghipour, Farahnaz Joukar, Fariborz Mansour-Ghanaei

“…The data was analyzed using SPSS version 16, and GraphPad Prism version 8.1.0 software, and a significance level of 0.05 was considered. …”
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Bibliometric and Visualized Analysis of Gut Microbiota and Hypertension Interaction Research Published from 2001 to 2024 by Jianhui Mo, Wanghong Su, Jiale Qin, Jiayu Feng, Rong Yu, Shaoru Li, Jia Lv, Rui Dong, Yue Cheng, Bei Han

“…The current research trends are shifting from exploring the factors influencing gut microbiota and hypertension to understanding the underlying mechanisms of these factors and the potential therapeutic applications of microbial modulation for hypertension management.…”
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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

“…The Young Cohort of the Ethiopian Young Lives dataset from 2002–2016 was used to analyze the complex relationships among various covariates influencing child undernutrition. We used a built-in Bayes server tool to identify potential features, followed by building the structure of the directed acyclic graph using a structural learning algorithm. …”
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Seasonal variations in moderate-to-vigorous physical activity among children and adolescents with visual impairment during different segments of the school day by Li Dou, Huawei Chen, Yemao Xia, Enjie Lu

“…Future research should explore the underlying factors influencing seasonal variations in PA among this population and develop targeted interventions to promote MVPA engagement.…”
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Advances in gait research related to Alzheimer’s disease by Shuding Yan, Xiaoping Yun, Qiang Liu, Zhenmei Hong, Yufan Chen, Shuijing Zhang

“…Numerous gait characteristics can be derived from this gait data, and the early identification of AD can be facilitated by applying a graph neural network-based machine learning approach.…”
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Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence by Kelly A. Duffy, Andrea Wiglesworth, Donovan J. Roediger, Ellery Island, Bryon A. Mueller, Monica Luciana, Bonnie Klimes-Dougan, Kathryn R. Cullen, Mark B. Fiecas

“…Understanding the relative influences of age, pubertal development, and sex assigned at birth on brain development is a key priority of developmental neuroscience given the complex interplay of these factors in the onset of psychopathology. …”
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The effect of manganese and carbon on the mechanical properties of the welded layer of the bucket teeth of the Hadfield steel excavator by S.F. Posonskyi

“…The obtained response surfaces and graphs of equal output lines make it possible to establish the level of studied factors’ influence on the optimization parameter. …”
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Epidemiological analysis of 2,368 pesticide poisoning patients in Quzhou City, China by Xiawen Zheng, Ting Zheng, Lushan Wang, Shiling Jiao, Xianchen Jiang, Shiming Lai, Bingdong Zhan

“…The chi-square test compared categorical variable groups; binary logistic regression explored factors influencing pesticide poisoning mortality.ResultsFrom 2015 to 2022, a total of 2,368 pesticide poisoning cases were documented in Quzhou City, exhibiting a downward trend. …”
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Action of wheat’s genetic systems in depend on way of aluminum entrance into plant by E. M. Lisitsyn, O. A. Amunova

“…The estimation was done using graphs of orthogonal regression in co-ordinate systems “ear mass - straw mass” and “grain mass - chaff mass”. …”
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Modeling the tropical fish community related to land uses and environmental determinants by N. Takarina, O. Chuan, M. Afifudin, L. Tristan, I. Arif, A. Adiwibowo

“…Fish diversity was determined using the Shannon–Wiener index, rarefaction curve, and Lorenz graph. Principal component analysis, analysis of variance, and the x2-test were used to determine environmental factors that affected the fish community at both sites. …”
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Quality of Life of Patients with Liver Cirrhosis by María Belén Alvarado Villavicencio, Evelyn Carolina Betancourt Rubio, Luis Roberto Villamarín Ponce

“…<strong> <br />Objective:</strong> to analyze the quality of life perceived by patients with cirrhosis, as well as to examine the factors that generally influence their quality of life. …”
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The role of the oral microbiota in the causal effect of adjunctive antibiotics on clinical outcomes in stage III–IV periodontitis patients by Sven Kleine Bardenhorst, Daniel Hagenfeld, Johannes Matern, Karola Prior, Inga Harks, Peter Eickholz, Katrin Lorenz, Ti-Sun Kim, Thomas Kocher, Jörg Meyle, Doğan Kaner, Yvonne Jockel-Schneider, Dag Harmsen, Benjamin Ehmke

“…However, the precise mechanism through which the oral microbiome influences clinical outcomes in periodontitis patients remains debated. …”
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Causal inference in statistics insights into stress-induced ferroelectric states in SrTiO: disentangling piezoelectric and flexoelectric effects from birefringence images by Kazuma Seike, Hirotaka Manaka, Yoko Miura

“…SEM revealed strong correlations between [Formula: see text] and [Formula: see text]s, although multicollinearity in [Formula: see text]s necessitated sparse principal component analysis to transform [Formula: see text] and [Formula: see text] into two independent components, [Formula: see text] and [Formula: see text], for subsequent causal analysis. Directed acyclic graphs (DAGs) based on SEM helped infer causal relationships, revealing [Formula: see text]‘s predominant influence on [Formula: see text] in stress/strain-concentrated regions (cluster E12) and [Formula: see text]‘s influence in uniform stress/strain regions (cluster E34). …”
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Collective decision-making with heterogeneous biases: Role of network topology and susceptibility by Yunus Sevinchan, Petro Sarkanych, Abi Tenenbaum, Yurij Holovatch, Pawel Romanczuk

“…The ability of groups to make accurate collective decisions depends on a complex interplay of various factors, such as prior information, biases, social influence, and the structure of the interaction network. …”
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Regional and sub-regional estimates of low birth weight and its determinants in 44 low- and middle-income countries: evidence from demographic and health survey data by Kusse Urmale Mare, Gashaye Gobena Andarge, Kebede Gemeda Sabo, Osman Ahmed Mohammed, Ahmed Adem Mohammed, Abdulkerim Hassen Moloro, Oumer Abdulkadir Ebrahim, Beminate Lemma Seifu, Bizunesh Fantahun Kase, Habtamu Solomon Demeke, Temesgen Gebeyehu Wondmeneh, Setognal Birara Aychiluhm, Abay Woday Tadesse, Getahun Fentaw Mulaw, Simeon Meskele Leyto, Begetayinoral Kussia Lahole, Tesfahun Simon Hadaro, Beriso Furo Wengoro

“…Importantly, maternal and household factors play significant roles in influencing low birth weight. …”
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Exploring the chaotic, sensitivity and wave patterns to the dual-mode resonant Schrödinger equation: application in optical engineering by Jan Muhammad, Usman Younas, Mohammad Yar

“…This investigation explores the dual-mode phenomenon’s simultaneous generation of two distinct waves, which are influenced by three critical parameters: phase velocity, nonlinearity, and dispersive factor. …”
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An analytical investigation of thermo-viscous unsteady fluid motion surrounding an oscillating sphere by N. Pothanna, L. Srinivasa Rao, Adigoppula Raju, J. Srinivas, Ajay Kumar Kaviti

“…The pressure distribution, couple on the boundary as well as the Drag force sphere’s boundary were also been obtained. The influence of various flow material characteristics on flow fields have been studied and examined with the help of appropriate graphs. …”
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Modeling the Dynamic Loads Affecting a Bridge Crane during Start-Up by I. R. Antipas

“…The reasons for load changes and factors influencing the extension of lifting machines’ service life as well as reducing metal consumption during production thereof were identified.Discussion and Conclusion. …”
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