Machine learning analysis of emerging risk factors for early-onset hypertension in the Tlalpan 2020 cohort by Mireya Martínez-García, Guadalupe O. Gutiérrez-Esparza, Guadalupe O. Gutiérrez-Esparza, Manlio F. Márquez, Manlio F. Márquez, Luis M. Amezcua-Guerra, Enrique Hernández-Lemus, Enrique Hernández-Lemus

“…Extreme Gradient Boosting (XGBoost), Logistic Regression (LG) and Support Vector Machines (SVM) were employed to evaluate the relationship between these factors and hypertension risk.ResultsThe Random Forest (RF) Importance Percent was calculated to assess the structural relevance of each variable in the model, while Shapley Additive Explanations (SHAP) analysis quantified both the average impact and direction of each feature on individual predictions. …”
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Machine learning models for the prediction of preclinical coal workers’ pneumoconiosis: integrating CT radiomics and occupational health surveillance records by Yankun Ma, Fengtao Cui, Yulong Yao, Fuhai Shen, Hongyi Qin, Bing Li, Yan Wang

“…Finally, five machine learning models were implemented to predict the preclinical stage of CWP. …”
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Cross-generational genomic prediction of Norway spruce (Picea abies) wood properties: an evaluation using independent validation by Haleh Hayatgheibi, Henrik R. Hallingbäck, Salvador A. Gezan, Sven-Olof Lundqvist, Thomas Grahn, Gerhard Scheepers, Sonali Sachin Ranade, Katri Kärkkäinen, M. Rosario García Gil

“…Overall, this study offers a valuable foundation for implementing GS in Norway spruce breeding programs.…”
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Comparative assessment of standalone and hybrid deep neural networks for modeling daily pan evaporation in a semi-arid environment by Mohammed Achite, Manish Kumar, Nehal Elshaboury, Aman Srivastava, Ahmed Elbeltagi, Ali Salem

“…Conventional deep neural network (DNN) coupled with support vector machine (SVM), Bayesian additive regression trees (BART), random subspace (RSS), M5 pruned, and random forest (RF) were used for developing prediction models using various input variable combinations. …”
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Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation by Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim

“…This study addresses this gap by implementing explainable artificial intelligence (XAI) to illuminate the impact of individual biomarkers in drug toxicity prediction. …”
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Biogenic silver nanoparticles optimization using Plackett–Burman design and its synergistic effect with cefotaxime against multidrug resistant clinical isolates by Hanzala Khan, Anum Gul, Zainab Najam, Taqdees Malik

“…For the optimization of AgNPs synthesis, Plackett–Burman experimental design (PBD) was implemented that demonstrated incubation time, temperature and extract: AgNO3 ratio as significant factors. …”
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Evaluation of crossbreeding strategies for improved adaptation and productivity in African smallholder cattle farms by Sèyi Fridaïus Ulrich Vanvanhossou, Tong Yin, Gregor Gorjanc, Sven König

“…Abstract Background Crossbreeding is successfully implemented worldwide to improve animal productivity and adaptability. …”
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Geometric determinants of sinterless, low-temperature-processed 3D-nanoprinted glass by Adira Colton, Ryan N. Halli, M. Rho Ma, Tejaswi Nori, Lucas K. Muller, Kieran J. Barvenik, Mahima Srivastava, Bibek Ramdam, Sunandita Sarker, Eleonora Tubaldi, Peter Kofinas, Kinneret Rand-Yadin, Ryan D. Sochol

“…Abstract Glass materials are essential for microsystems applications in fields ranging from optics and photonics to microfluidics and biomedicine, which has driven growing interest in additive manufacturing—or “three-dimensional (3D) printing”—to enable glass micro/nanotechnologies. …”
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An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery by Hao Zhu, Yiyan Zhou, Danyang Shen, Kejia Wu, Xiaojie Gan, Xiaofeng Xue, Weigang Zhang, Xiaohua Yang, Junyi Qiu, Ding Sun

“…Conclusion An XGBoost model was developed to predict the likelihood of ELM after PDAC surgery with high accuracy. Additionally, the model was implemented as an application, providing clinicians with an accessible visual tool to support personalized clinical strategies and ultimately enhance patient outcomes.…”
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Temporal dynamic vulnerability – impact of antecedent events on residential building losses to wind storm events in Germany by A. Trojand, H. W. Rust, H. W. Rust, U. Ulbrich

“…For this purpose, generalized additive models are implemented to estimate vulnerability as a function of the intensity of the previous event and the time interval between the events. …”
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Research on the development of an intelligent prediction model for blood pressure variability during hemodialysis by Zhijian Ren, Minqiao Zhang, Pingping Wang, Kanan Chen, Jing Wang, Lingping Wu, Yue Hong, Yihui Qu, Qun Luo, Kedan Cai

“…This can help timely implement interventions during hemodialysis to prevent problems, reduce blood pressure fluctuations during dialysis, and improve patient outcomes.…”
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Design Optimization of Valve Assemblies in Downhole Rod Pumps to Enhance Operational Reliability in Oil Production by Seitzhan Zaurbekov, Kadyrzhan Zaurbekov, Doszhan Balgayev, Galina Boiko, Ertis Aksholakov, Roman V. Klyuev, Nikita V. Martyushev

“…The turbulizers were manufactured using additive FDM technology, and several design variants were tested in a full-scale laboratory setup simulating downhole conditions. …”
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Effect of Ultrasonic Exposure on the Efficiency of De-Oiling Fluid Lecithins by Ekaterina V. Lisovaya, Elena P. Viktorova, Anastasia V. Sverdlichenko, Mariet R. Zhane

“…Ultrasonic exposure is one of the most effective and easy-to-implement physical methods that intensify this chemical-technological procedure. …”
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Access in all areas? A round up of developments in market access and health technology assessment: part 7 by Sreeram V Ramagopalan, Annie Jullien Pannelay

“…In this update, we discuss the implementation progress of the Medicare Drug Price Negotiation Program, with particular focus on the second round of negotiations for 15 additional Part D drugs; explore the role of health technology assessment in US commercial health plan decision-making; and examine significant changes to pharmaceutical pricing systems in Germany, where international reference pricing has been eliminated as part of the Medical Research Act.…”

High Life Study protocol: a cross-sectional investigation of the influence of apartment building design policy on resident health and well-being by Sarah Foster, Clover Maitland, Paula Hooper, Julian Bolleter, Anthony Duckworth-Smith, Billie Giles-Corti, Jonathan Arundel

“…Regression models will test whether higher policy compliance (overall and by design theme) is associated with better health and well-being, and the relative contribution of the neighbourhood context.Ethics and dissemination Human Research Ethics Committees of RMIT University (CHEAN B 21146-10/17) and the University of Western Australia (RA/4/1/8735) approved the study protocol. In addition to academic publications, the collaboration will develop specific health-promoting indicators to embed into the monitoring of apartment design policy implementation and impact, and co-design research dissemination materials to facilitate uptake by decision makers.…”
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“A good physician works full-time?” – a mixed-methods study on (mis)conceptions about part-time work in hospitals by Barbara Jarmila Germann, Julia Frey, Alain Soltermann, Janna Küllenberg

“…The qualitative interviews identified both organisational and cultural barriers to the implementation of part-time work for hospital physicians, such as complex scheduling, additional effort and the prevailing “ideal physician norm” that prioritises physical presence and professional obligations over personal life. …”
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Scaling Up Kangaroo Mother Care Through a Facility Delivery Model in Rural Districts of Pakistan: Protocol for a Mixed Methods Study by Shah Muhammad, Asif Soomro, Samia Ahmed Khan, Hina Najmi, Zahid Memon, Shabina Ariff, Sajid Soofi, Zufiqar Ahmed Bhutta

“…Additionally, these findings will offer valuable insights for the development of future newborn care programs. …”
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Development and evaluation of a school-based bullying prevention program (Bullying&You): study protocol for a cluster randomized trial by Vanessa Jantzer, Franziska Neumayer, Stefan Lerch, Michael Kaess

“…Discussion School-based bullying prevention programs still lack rigorous evidence for their efficacy. In addition, dissemination of bullying prevention programs has previously been hampered by the high need of resources required from schools for their implementation. …”
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The Smart Product Backlog: A Classification Model of User Stories by Mauricio Gaona-Cuevas, Victor Bucheli Guerrero, Fredy H. Vera-Rivera

“…For intelligent applications leveraging artificial intelligence (AI), the Smart Product Backlog (SPB) has included both AI-implementable and non-AI functionalities. This paper had proposed a model employing supervised machine learning techniques to classify US descriptions based on their technical feasibility for AI implementation. …”
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Online Broadcasting and Video Recording of Classes as An Effective Tool for Organizing E-Learning by Ramis R. Mukhametshin, Rezeda R. Khadiullina

“…However, most researchers distinguish the high labor intensity and the presence of additional skills on the part of the lecturer as a prerequisite for the implementation of a successful video lecture. …”
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