Groundwater Nitrate Modeling in Tehran Metropolis Using Artificial Neural Network and Kriging Methods by Fatemeh Nickbeen, Abdolrassoul Salmanmahiny

“…Our results of network sensitivity analysis were similar to scientific findings regarding the factors influencing the formation of nitrate in groundwater. …”
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Collaborative manufacturing in the steelmaking–continuous casting section using intelligent technologies by Qing LIU, Mo LAN, Zicheng XIN, Jiangshan ZHANG

“…The regulatory mechanism is not well understood and is easily influenced by factors such as raw material composition and process operation, which leads to complex operational control and significant fluctuations in product quality and makes it difficult to achieve collaborative manufacturing with intelligent technologies in the production process. …”
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Willingness to pay (WTP) for HIV and AIDS services in Africa: a descriptive thematic systematic review by John Bekiita Byabagambi, Mark Limmer, Bruce Hollingsworth

“…Information on the HIV service, the study methods, and factors influencing WTP were extracted. A descriptive thematic analysis was undertaken to synthesise evidence. …”
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Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

“…The proposed model along with several factors is standardized through adequate transformation rules. …”
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Dynamic analysis of Iran's oil and gas exports and sales revenue in the time horizon of 2050 by Paria Samadi Parviznejad, Ali Mohaghar

“…Finally, the validation was done using the analysis of different scenarios for the dynamic system model.Originality/Value: In this paper, in addition to the dynamic analysis of the factors influencing oil and gas industry variables, the time effects of these changes have also been considered. …”
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The relationship between symptoms of gender dysphoria and social anxiety in transgender young adults: a network analysis by Jiaqi Li, Yi Feng, Wenbang Niu, Shicun Xu, Yajun Bu, Yuanyuan Wang

“…Discussion Feeling unhappy with physical characteristics and hopelessness are crucial influencing factors in transgender young adults’ co-occurring symptoms of gender dysphoria and social anxiety. …”
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Investigation of the Effect of Restitution Coefficient on 3-Dimensional Rockfall Analyses by İbrahim Uykun, Mutluhan Akın, Ogün Ozan Varol

“…These coefficients govern the energy and velocity losses of a block upon impact with the slope surface, thereby influencing the trajectory and movement dynamics of the block within the model. …”
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Optimizing Screw Fixation in Total Hip Arthroplasty: A Deep Learning and Finite Element Analysis Approach by Jacob Stroud, Emily T. Yan, Jacob Anthony, Kyle Walker, Chung-Hyun Goh

“…By utilizing advanced simulation techniques—including Goodness of Fit analysis, Response Graphs, Local Sensitivity Analysis, and Spider Charts—critical factors influencing stress distribution and fixation stability were identified. …”
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Photonics-based modular multistate digital coherent system by I. V. Unchenko, A. A. Emelyanov

“…Calculations of the introduced phase error of a quartz singlemode fiber and graphs of the dependence of the change in the signal phase on external influencing factors are given. …”
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Development of a rational composition of a polyenzyme composition in the technology of bioscouring of cotton fabrics by Ksenia A. Lenko, Natallia N. Yasinskaya, Natallia V. Skobova

“…It has been established that all properties are largely influenced by the concentration of the drug with cellulolytic activity. …”
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A synergistic approach using digital twins and statistical machine learning for intelligent residential energy modelling by Ahmad Almadhor, Shtwai Alsubai, Natalia Kryvinska, Nejib Ghazouani, Belgacem Bouallegue, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…Meanwhile, training curves and feature importance visualizations provide insights into model behaviour and key factors influencing energy efficiency. This research underscores the significance of combining real-time DT environments with intelligent learning models to address modern energy efficiency challenges and support the development of adaptive, sustainable building systems.…”
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A valuable predictive model for optimizing the timing of oocyte retrieval: a retrospective analysis of oocyte retrieval time in 49,961 oocyte pickup (OPU) cycles by Yuting Huang, Zhe Kuang, Xi Shen, Yunhan Nie, Yuqi Zeng, Yali Liu, Li Wang

“…Conclusion The female age, antral follicle count (AFC), controlled ovarian hyperstimulation (COH) protocol, number of follicles measuring > 14 mm in diameter on the trigger day, as well as hormone levels including E2, P, and LH on the trigger day are crucial factors influencing oocyte retrieval time. A robust predictive model for oocyte retrieval time was successfully developed from these factors and validated within a well-organized timing group for oocyte retrieval (oocyte retrieval rate ≥ 70% and oocyte maturation rate ≥ 80%).…”
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Implications of thermal stratification and radiative heat flux in blood-based ternary and dihybrid nanomaterial flow through a stretchable cylinder by Muzher Saleem, Ghada A. Khouqeer, Fazal Haq, Naglaa AbdelAll, Arshad Hussain, Mohammed Sallah

“…Additionally, variations in Nusselt number, couple stress, and skin friction factors are examined. Heat transfer performance of THNF and HNF are compared via graphs. …”
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Risk perceptions, knowledge and protection practices related to COVID-19 in Dessie City Administration, Northeast Ethiopia: a community-based study by Husien Nurahmed Toleha, Ewunetie Mekashaw Bayked, Birhanu Demeke Workneh, Teferi Gedif Fenta

“…The effectiveness of these measures largely depends on public willingness, which is influenced by their knowledge and perception of risk. …”
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Causal estimation of the relationship between reproductive performance and the fecal bacteriome in cattle by Yutaka Taguchi, Haruki Yamano, Yudai Inabu, Hirokuni Miyamoto, Koki Hayasaki, Noriyuki Maeda, Yoshiro Kanmera, Seiji Yamasaki, Noboru Ota, Kenji Mukawa, Atsushi Kurotani, Shigeharu Moriya, Teruno Nakaguma, Chitose Ishii, Makiko Matsuura, Tetsuji Etoh, Yuji Shiotsuka, Ryoichi Fujino, Motoaki Udagawa, Satoshi Wada, Jun Kikuchi, Hiroshi Ohno, Hideyuki Takahashi

“…Therefore, four machine-learning algorithms were employed to identify the distinctive factors between the two groups. The directed acyclic graphs carried out by DirectLiNGAM based on these extracted factors inferred that the family Erysipelotrichaceae and the genera Clostridium sensu stricto 1 and Family XIII AD3011 group at 150 days of age were strongly associated with an increase in AI number. …”
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Comparative efficacy of interventional therapy with or without targeted immunotherapy in Child-Pugh B hepatocellular carcinoma patients: a single-center, retrospective study by Xu-Wei Guo, Man Zhao, Xiao-Ling Duan, Guang-Jie Han, Jin-Feng Wang, Jian-Fei Shi, Xin Han, Fei Yin, Guang Yang

“…Tumor remission was appraised in accordance with the RECIST 1.1 and mRECIST criteria. Independent influencing factors were discerned through multifactorial COX regression analysis. …”
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Determinants and Experiences of Care‐Seeking for Childhood Pneumonia in a Rural Indian Setting: A Mixed‐Methods Study by Barsha Gadapani Pathak, Sarmila Mazumder, Yasir Bin Nisar, Aditya Bhatt, Mandeep Singh, Tarun Madhur, Ingvild Fossgard Sandøy

“…This study explores care‐seeking behaviours, associated socio‐demographic factors and barriers to access to appropriate healthcare for childhood pneumonia in rural India. …”
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