Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

“…Implementation of artificial neural networks for modeling and prediction of this process still remains challenging. Additionally, there has been a lack of research regarding the generalization capacity of neural networks using the data from other studies. …”
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Estimation of econometric indicators on the basis of the regression analysis (on the example of food consumption by the population of the Arkhangelsk region) by S. A. Kochkin

“…For carrying out the statistical analysis microdata of selective examinations of budgets of the households of the Arkhangelsk region for the IV quarter of 2012 conducted by Rosstat were used. For data processing the packet of the statistical analysis of SPSS was used, and the solution of objectives was performed by methods of the correlation and regression analysis, and also by means of check of distributions of the researched quantities to a normality and the analysis of a regression residuals. …”
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Sediment transport trend in an erosive sandy beach: the case of Matinhos Beach, south coast of Brazil by David M. Luersen, Alexandre B. Lopes, Guilherme. A. S. Franz, Danilo Mildemberger, Mauricio A. Noernberg

“… Sandy beaches have different shoreline change rates (i.e., erosion/accretion rates). An erosive process on beaches poses risks for human-occupied areas. …”
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Multicore structures of oceanic mesoscale eddies by Yanjiang Lin

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New challenges for banking, financial services and insurance by Radić Nikola

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Tuning the Shape of Spray-Dried Pullulan Particles Through Feed Rheological Behavior by Francesca Selmin, Francesco Cilurzo, Francesco Briatico Vangosa

“…Overall, these data evidenced the possibility of tuning the spray-dried product morphology without any processing aids, paving the way for new applications of pullulan, especially in the pharmaceutical field.…”
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Treatment failure and the threshold of disease extinction by Pichaya Voottipruex, Nichaphat Patanarapeelert, Klot Patanarapeelert

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Degradation of Brilliant Green by Using a bentonite Clay- Based Fe Nano Composite Film as a Heterogeneous Photo- Fenton Catalyst. by Baghdad Science Journal

“…Photo- Fenton process causes a more efficient oxidation rate than the Fenton process. …”
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MAIN CLINICAL AND LABORATORY CHARACTERISTICS OF PATIENTS WITH TYPE 1 DIABETES AND DIABETIC NEPHROPATHY IN TERMS OF RISK GROUP PERSPECTIVES EVALUATION by Ihor V. Kovalchuk, Ievgeniia A. Burlaka, Inga O. Mityuryayeva-Kornijko

“…Statistical analysis and data processing were performed using GraphPad Prism 10.0 for Windows (USA, San Diego, California). …”
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LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy by Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem, Abdulmalik Alwarafy

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Deep convolutional fuzzy neural networks with stork optimization on chronic cardiovascular disease monitoring for pervasive healthcare services by Nuzaiha Mohamed, Reem Lafi Almutairi, Sayda Abdelrahim, Randa Alharbi, Fahad M. Alhomayani, Amer Alsulami, Salem Alkhalaf

“…At first, the presented DCFNN-SOCVDC model performs data preprocessing by utilizing Z-score normalization to preprocess the medical data. …”
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Economic growth and monetary policy in Russia by Sergey Yu. Glazyev, Oleg S. Sukharev

“…The evidence is the 2000–2023 data coming from the Federal State Statistics Service of the Russian Federation and the Bank of Russia. …”
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Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm by Abdel-Hamid M. Emara, Ghada Atteia, Jawad Hasan Alkhateeb

“…In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of CNNs can be attributed to their ability to learn hierarchical representations from data. …”
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Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

“…Based on aerobic decoupling (power-to-heart rate ratio) and cardiovascular drift of each test ride, a prediction model was created using ML (Logistic regression, Variational Gaussian Process models and k-nearest neighbors algorithm) that indicated whether or not an athlete was responding to the training. …”
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Gas well productivity prediction based on fractional Fourier transform by Chenchang Zheng, Jun Tang, Mengfan Li, Gewei Qi

“…Fractional Fourier transform is introduced to improve signal processing methods and extract key parameters, including Stoneley wave frequency offset rate and energy attenuation coefficient of longitudinal and transverse wave. …”
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Evaluating the total laboratory testing process and performance via quality indicators in clinical chemistry and hematology laboratories at Pawi General Hospital, Benishangul Gumz,... by Nigatu Tarekegn, Aklilu Getachew Mamo, Kedir Abdella Abdulsemed, Seid Abrar Abdlshikure, Zeleke Mekonnen

“…Quality assessment was carried out using IFCC-approved guidelines and ISO 15189 standard quality indicators, which were adapted to the local context. Data were entered into EpiData version 3.0 and analyzed using SPSS version 21. …”
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Asymptotic Normalization Coefficient Investigation of the 17O(d, p) Transfer for Astrophysical Application to the 17O(n, α)14C Reaction at Low Energies by G. L. Guardo, L. Lamia, J. P. Fernández-García, S. Piskor, M. La Cognata, G. D’Agata, S. Palmerini, D. Vescovi, V. Burjan, R. J. deBoer, V. Kroha, D. Lattuada, J. Mrazek, A. A. Oliva, R. G. Pizzone, G. G. Rapisarda, S. Romano, M. L. Sergi, R. Spartá, A. Tumino

“…A comparison with recent direct data and recent THM experimental data is presented. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…The framework incorporated a spatiotemporal training strategy, where continuous video sequences were utilized to capture temporal dynamics. Data preprocessing included multi-resolution image acquisition (2560×1 440, 1 920×1 080, 1 280×720) from simulated river channels and natural environments. …”
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Methods and results used in the development of a consensus-driven extension to the Consolidated Standards of Reporting Trials (CONSORT) statement for trials conducted using cohorts... by Chris Gale, David Torgerson, Lehana Thabane, Brett D Thombs, Eric I Benchimol, David Erlinge, Philippe Ravaud, Danielle B Rice, Linda Kwakkenbos, Maureen Sauve, Helena M Verkooijen, Ole Fröbert, Merrick Zwarenstein, Lars G Hemkens, Margaret Sampson, Clare Relton, Jon Nicholl, John Fletcher, Sinéad M Langan, Mahrukh Imran, Marion K Campbell, Stephen J McCall, Kimberly A McCord, Rudolf Uher, Edmund Juszczak

“…This article describes the processes and methods used to develop the extension and decisions made to arrive at the final checklist.Methods The development process involved five stages: (1) identification of the need for a reporting guideline and project launch; (2) conduct of a scoping review to identify possible modifications to CONSORT 2010 checklist items and possible new extension items; (3) a three-round modified Delphi study involving key stakeholders to gather feedback on the checklist; (4) a consensus meeting to finalise items to be included in the extension, followed by stakeholder piloting of the checklist; and (5) publication, dissemination and implementation of the final checklist.Results 27 items were initially developed and rated in Delphi round 1, 13 items were rated in round 2 and 11 items were rated in round 3. …”
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The Soil Food Web Model as a Diagnostic Tool for Making Sense out of Messy Data: A Case of the Effects of Tillage, Cover Crop and Nitrogen Amendments on Nematodes and Soil Health by Haddish Melakeberhan, Isaac Lartey, Stephen Kakaire, ZinThuZar Maung

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