Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

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An application of eye movement parameters collected from mass market devices for the estimation of a text comprehension by Ksenia Babanova, Arsen Revazov, Konstantin Chernozatonskiy, Andrey Pikunov, Victor Anisimov

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Secondary School Students’ Perceptions of Subjects in Integrated STEM Teaching by Anna Kellinghusen, Sandra Sprenger, Catharina Zieriacks, Anna Orschulik, Katrin Vorhölter, Sandra Schulz

“…Although the importance of an integrated approach in STEM education is emphasized, researchers are not clear about whether students perceive connections between the subjects on the one hand and subject-specific working methods and content in integrated lessons on the other. …”
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A novel Probabilistic Bi-Level Teaching–Learning-Based Optimization (P-BTLBO) algorithm for hybrid feature extraction and multi-class brain tumor classification using ResNet-50 and... by Mahananda Malkauthekar, Avinash Gulve, Ratnadeep Deshmukh

“…Experimental findings indicate that the P-BTLBO algorithm surpasses conventional optimization methods, including TLBO and PSO, regarding classification accuracy, feature subset size, and computational efficiency. …”
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Do Standardised Prognostic Algorithms Reflect Local Practice? Application of EORTC Risk Tables for Non-Muscle Invasive (pTa/pT1) Bladder Cancer Recurrence and Progression in a Loca... by Rajiv Pillai, Duolao Wang, Erik K. Mayer, Paul Abel

“…A risk calculator algorithm to allow prediction of probabilities of 1- and 5-year recurrence and progression rates in individuals with pTa/pT1 bladder cancer has been proposed by the European Organisation for Research and Treatment of Cancer (EORTC) and was incorporated into the European Association of Urology guidelines in 2006. …”
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METHODOLOGY OF STUDY OF GRAIN SUB-COMPLEX DURING GLOBALIZATION by O. V. Sidorenko

“…The functional-branch structure, the diagram and the algorithm of research of grain sub-complex have been developed. …”
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Protocol for the OPTIMSE-1 randomised clinical trial to test specialist-led identification and management of cardio-renal-metabolic-pulmonary disease in machine learning algorithm-... by Chris P Gale, Jianhua Wu, Ramesh Nadarajah, Catherine Reynolds, Chris Hayward, Ali Wahab, Mohammad Haris, Tobin Joseph, Sheena Bennett, Adam B Smith

“…Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of cardio-renal-metabolic-pulmonary disease and cardiovascular death. …”
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Ecological Momentary Assessment of emotional dysregulation and outbursts among youth with ADHD: a feasibility study of a biomarker-driven predictive algorithm in the special educat... by Ripudaman (Zeeba) Singh, Janav Panchal, Sami Ali, Beth Krone, Isaac J. Wert, Mark Owens, Mark Stein, Maulik V. Shah

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Explainable machine learning algorithms to identify predictors of intention to use family planning among women of reproductive-age in Ethiopia: Evidence from the Performance Monito... by Agmasie Damtew Walle, Shimels Derso Kebede, Jibril Bashir Adem, Tewodros Desalegn Nebi, Daniel Niguse Mamo, Sudi Jemal Wado, Ermias Bekele Enyew

“…Thus, using explainable machine learning algorithms, this study aimed to identify the key determinants of intention to use FP among women of reproductive age in Ethiopia.Methods Secondary data from the Ethiopian Performance Monitoring and Accountability 2021 survey were analysed using R and Python on Google Colab. …”
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Forecast of hydrocarbon losses in deposits during the development of gas condensate fields by R. K. Dobrolyubova, E. I. Inyakina, I. I. Krasnov, V. V. Inyakin, A. F. Semenenko

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Integrating Moral Values in AI: Addressing Ethical Challenges for Fair and Responsible Technology by Khushboo Shah, Hiren Joshi, Hardik Joshi

“…This paper will also help researchers to work with a multidisciplinary approach. …”
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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value... by Jie Zhou

“…Recent studies have identified the expression of IL7R as a significant risk factor that affects the prognosis of patients diagnosed with high-grade gliomas (HGG). This research focuses on investigating the prognostic significance of Interleukin 7 Receptor (IL7R) expression and aims to develop a noninvasive predictive model based on radiomics for HGG. …”
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A Novel Laboratory Technique for Measuring Grain‐Size‐Specific Transport Characteristics of Bed Load Pulses by Kevin Reiterer, Thomas Gold, Christoph Hauer, Helmut Habersack, Christine Sindelar

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Double-transmitting and Sextuple-receiving Borehole Transient Electromagnetic Method and Experimental Study by Bo Wang, Shengdong Liu, Shining Li, Fubao Zhou

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A solution to the Single-School school bus routing problem considering accessibility and economy by Zizhan Jiang, Jiying Wang, Siyuan Huang, Hua Daniel Xu

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Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A case study of Marie Skłodowska-Curie actions. by Rachel Heyard, David G Pina, Ivan Buljan, Ana Marušić

“…Funding agencies rely on panel or consensus meetings to summarise individual evaluations of grant proposals into a final ranking. However, previous research has shown inconsistency in decisions and inefficiency of consensus meetings. …”
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The Current Development Status of Agricultural Machinery Chassis in Hilly and Mountainous Regions by Renkai Ding, Xiangyuan Qi, Xuwen Chen, Yixin Mei, Anze Li

“…., slope adaptability ≥ 25°, lateral tilt stability > 30°) is a major research priority for China’s agricultural equipment industry. …”
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Effects of data transformation and model selection on feature importance in microbiome classification data by Zuzanna Karwowska, Oliver Aasmets, Estonian Biobank research team, Tomasz Kosciolek, Elin Org

“…Our findings suggest that while classification is robust across different transformations, the variation in feature selection necessitates caution when using machine learning for biomarker identification. This research provides valuable insights for applying machine learning to microbiome data and identifies important directions for future work.…”
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Correction: Physical and mental health management for the older adult using XGBoost algorithm supported by new media technology: developing personalized health intervention plans u... by Yutong Wang, Xin Guan, Shiyuan Qu, Jiarong Liao, Xin Ming, Enhui Li, Zixi Wang

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Applicability of elite samples in solving the traveling salesman problem by Goldberg model by Valery G. Kobak, Irma S. Rudova

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