Assessment of the Level of Financial Inclusion of Women in Kazakhstan: An Empirical Analysis of Structural Factors by A. A. Kireyeva, M. T. Kurmasheva

“…The results show that the GRP variables and the share of wages in GDP have the greatest impact on the parameters of women’s entrepreneurial lending in Kazakhstan. …”
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Study of the properties of pectin substances for the production of healthy food products by A. V. Tarasenko

“…Biochemical methods of analysis, generally accepted in the food industry, were used as research tools. It is well known that low-temperature freezing helps to maximize the preservation of the nutritional value of plant materials, however, in the health food industry, recipes and technologies for processing frozen grapes are practically not represented. …”
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Tooth wear development in the Australian Aboriginal dentition from Yuendumu: A longitudinal study. by Jinyoung Lee, Sarah Fung, Robin Yong, Sarbin Ranjitkar, John Kaidonis, Alistair R Evans, Luca Fiorenza

“…The analysis of dental wear, at both the microscopic and macroscopic scale, is one of the most widely used tools in archeology and anthropology to reconstruct the diet and lifestyle of past human populations. …”
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Sustainability Assessment of Savings System in Russia by V. V. Litvin, V. V. Maslennikov, N. A. Amosova

“…In addition, the authors attempted to assess the stability limits of the national savings system using mathematical statistics tools. The subject area of the article and the results of the study provide new knowledge about the nature, conditions and sustainability assessments of national savings systems and significantly contribute to the scientific discussion of the current and future trends of the world economy development and economic growth supported by finances and resources.…”
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Characterization of metabolically quiescent Leishmania parasites in murine lesions using heavy water labeling. by Joachim Kloehn, Eleanor C Saunders, Sean O'Callaghan, Michael J Dagley, Malcolm J McConville

“…Information on the growth rate and metabolism of microbial pathogens that cause long-term chronic infections is limited, reflecting the absence of suitable tools for measuring these parameters in vivo. Here, we have measured the replication and physiological state of Leishmania mexicana parasites in murine inflammatory lesions using 2H2O labeling. …”
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On economic modeling of carbon dioxide removal: values, bias, and norms for good policy-advising modeling by Simon Hollnaicher

“…Non-technical summary Integrated assessment models (IAMs) are important scientific tools for advising policymakers and the public on climate mitigation. …”
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Innovative airborne geophysical strategies to assist the exploration of critical metal systems by Karl Kwan, Stephen Reford

“…Structural complexity maps can provide additional key parameters for the exploration targeting of structurally controlled critical metal systems. …”
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Interpretable Machine Learning Techniques for an Advanced Crop Recommendation Model by Mohamed Bouni, Badr Hssina, Khadija Douzi, Samira Douzi

“…This study aims to overcome the limitations of traditional advisory approaches by incorporating interpretability tools, clarifying the model’s decision-making process around specific instances. …”
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Solving the Problem of Determining the Mechanical Properties of Road Structure Materials Using Neural Network Technologies by N. E. Babushkina, A. A. Lyapin

“…The experimental and calculated parameters of the elastic modulus of individual layers of the road structure turned out to be very close. …”
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BlueRecording: A pipeline for the efficient calculation of extracellular recordings in large-scale neural circuit models. by Joseph James Tharayil, Jorge Blanco Alonso, Silvia Farcito, Bryn Lloyd, Armando Romani, Elvis Boci, Antonino Cassara, Felix Schürmann, Esra Neufeld, Niels Kuster, Michael Reimann

“…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an in silico model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…”
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Application of Machine Learning for Target Selection and Acid Treatment Design by I. I. Mannanov, M. A. Varfolomeev, G. R. Ganieva, A. R. Gimaeva, R. R. Giniyatullin

“…Current approaches to acid treatment design rely on advanced software tools that evaluate major acidizing factors. Machine learning is a valuable complement to the existing techniques: it facilitates the selection of target wells and aids in defining initial parameters for design engineering on reliable and effective software platforms. …”
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Risk factors for and outcomes of acute kidney injury in ward-based hospital trauma admissions: A retrospective cohort analysis. by Omar Kiwan, Elizabeth Finnimore, Benjamin D James, Paul W Robinson, Mohammed Al-Kalbani, Becky Bonfield, Darren Green

“…This factor could be considered as a useful adjunct in trauma AKI risk assessment tools to facilitate stratified care.…”
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Model order reduction for left ventricular mechanics via congruency training. by Paolo Di Achille, Jaimit Parikh, Svyatoslav Khamzin, Olga Solovyova, James Kozloski, Viatcheslav Gurev

“…Computational models of the cardiovascular system and specifically heart function are currently being investigated as analytic tools to assist medical practice and clinical trials. …”
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On Analytical Extension of Generalized Hypergeometric Function ₃<i>F</i>₂ by Roman Dmytryshyn, Volodymyra Oleksyn

“…These expansions have wide domains of convergence and better computational properties, particularly compared with series, making them effective tools for representing special functions. New domains of the analytical continuation of the generalized hypergeometric function <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mmultiscripts><mi>F</mi><mn>2</mn><none></none><mprescripts></mprescripts><mn>3</mn><none></none></mmultiscripts></mrow></semantics></math></inline-formula> with real and complex parameters have been established. …”
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Design of FOPID controllers by using 3D plots by Mehmet Emir Koksal

“…Some graphical design tools are used beneficially in literature using 2D plots. …”
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Towards Optimizing Neural Network-Based Quantification for NMR Metabolomics by Hayden Johnson, Aaryani Tipirneni-Sajja

“…<b>Background:</b> Quantification of metabolites from nuclear magnetic resonance (NMR) spectra in an accurate, high-throughput manner requires effective data processing tools. Neural networks are relatively underexplored in quantitative NMR metabolomics despite impressive speed and throughput compared to more conventional peak-fitting metabolomics software. …”
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Analysis of the development of cryptocurrency instruments by A. A. Lukyanov

“…The factors and key parameters influencing the development of cryptocurrency mechanisms are revealed, the advantages and disadvantages of using digital tools are identified. …”
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Design and Simulation of a Prosthetic Knee Joint for Amputees in Hilly Terrain. by Mabirizi, Ali

“…Chapter two is a literature review highlighting milestones and past work on the project. then Chapter three shows the methodology and tools used in the project The methods used in carrying out this project included library search, internet search, and modeling software such a such Autocard and Solidworks2023. …”
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Impact of Optimization Algorithm Choice on Nonlinear Global Model for Photovoltaic Energy Generation Forecasting by Valdemar M. Cavalcante Junior, Tiago A. Fernandes, Renato Andrade Freitas, Nayara A. de M. S. Amâncio, Fabricio Bradaschia, Marcelo Cabral Cavalcanti

“…The study seeks to investigate whether different optimization tools can improve the accuracy and efficiency of parameter estimation, resulting in improved modeling and performance prediction of PV systems in different conditions.…”
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A Predictive Model of the Photosynthetic Rate of Chili Peppers Using Support Vector Regression and Environmental Multi-Factor Analysis by Bin Li, Bo Qiao, Qianyu Zhao, Dan Yang, Rongcheng Zhu, Zhexuan Wang, Yujie Yang

“…To optimize performance, a grid search with five-fold cross-validation was conducted to identify optimal hyperparameters; this process yielded a cost parameter (C) of 38 and a gamma parameter (γ) of 8, which minimized the root mean square error (RMSE) on the training set. …”
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