Development of a mathematical model of an autonomous power supply source with a free piston motor on the basis of a synchronous electric returning machine with a permanent magnets by A. R. Safin, I. V. Ivshin, E. I. Gracheva, T. I. Petrov

“…Thus, this will allow us to design electric machines with improved energy characteristics, due to the use of the obtained simulation results, which will allow us to use them more efficiently in the composition of generating and drive complexes.…”
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Spatial distribution and risk factors of Schistosoma haematobium and hookworm infections among schoolchildren in Kwale, Kenya. by Evans Asena Chadeka, Sachiyo Nagi, Toshihiko Sunahara, Ngetich Benard Cheruiyot, Felix Bahati, Yuriko Ozeki, Manabu Inoue, Mayuko Osada-Oka, Mayuko Okabe, Yukio Hirayama, Mwatasa Changoma, Keishi Adachi, Faith Mwende, Mihoko Kikuchi, Risa Nakamura, Yombo Dan Justin Kalenda, Satoshi Kaneko, Kenji Hirayama, Masaaki Shimada, Yoshio Ichinose, Sammy M Njenga, Sohkichi Matsumoto, Shinjiro Hamano

“…The observed small scale clustering of the S. haematobium and hookworm infections might imply less uniform strategies even at finer scale for efficient utilization of limited resources.…”
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Comparative analysis of impact of classification algorithms on security and performance bug reports by Said Maryyam, Bin Faiz Rizwan, Aljaidi Mohammad, Alshammari Muteb

“…Comparative analysis reveals that two algorithms (SVM and LR) perform better in terms of precision (0.99) for performance bugs and three algorithms (SVM, ANN, and LR) perform better in terms of F1 score for security bugs as compared to other classification algorithms which are essentially due to the linear dataset and extensive number of features in the dataset.…”
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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…Originality/value – A novel robust multi-stage linear programming model is designed to address the location-distribution-routing problem during a disaster and to solve this model an efficient hybrid meta-heuristic model is developed.…”
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Fabrication of a poly(m‑aminophenol)/3-aminopropyl triethoxysilane/graphene oxide ternary nanocomposite for removal of Cu(II) from aqueous solution by Abeer S. Elsherbiny, Mohamed E. Elhalwagy, Ali H. Gemeay

“…Furthermore, the isotherm data of the uptake of Cu(II) on PmAP/APTES/GO(6.6) were found to agree with the Freundlich and Langmuir model’s linear and nonlinear forms. Chemosorption was suggested by the Dubinin-Radushkevich (D-R) isotherm model as the calculated mean sorption energy exceeds 16 kJ/mol. …”
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Justification of the nation through culture as a foundation of G. P. Fedotov’s historiosophy by Igor Smirnov

“…Fedotov not only successfully applied his cultural and historical theory to the history of Russia, but also efficiently used it in specualtions about the future, about the time after the change of the political system. …”
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Low-dimensional spike rate models derived from networks of adaptive integrate-and-fire neurons: Comparison and implementation. by Moritz Augustin, Josef Ladenbauer, Fabian Baumann, Klaus Obermayer

“…Therefore we have made available implementations that allow to numerically integrate the low-dimensional spike rate models as well as the Fokker-Planck partial differential equation in efficient ways for arbitrary model parametrizations as open source software. …”
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Machine learning projection of climate and technology impacts on crops key to food security by Dan Li, Vassili Kitsios, David Newth, Terence John O’Kane

“…Here we introduce a multivariate autoregressive econometrics model that includes a time-varying non-linear variable to account for the decreasing impact of technology on crop yields. …”
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Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches. by Alberto Porta, Luca Faes, Vlasta Bari, Andrea Marchi, Tito Bassani, Giandomenico Nollo, Natália Maria Perseguini, Juliana Milan, Vinícius Minatel, Audrey Borghi-Silva, Anielle C M Takahashi, Aparecida M Catai

“…Moreover, it allows the comparison between linear model-based (MB) and nonlinear model-free (MF) techniques and between MF approaches exploiting local predictability (LP) and conditional entropy (CE). …”
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Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…To address these issues, this study presents a novel histogram of polarization gradient (HPG) feature descriptor that enables efficient feature representation of polarization mosaic images. …”
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A systematic review of dengue outbreak prediction models: Current scenario and future directions. by Xing Yu Leung, Rakibul M Islam, Mohammadmehdi Adhami, Dragan Ilic, Lara McDonald, Shanika Palawaththa, Basia Diug, Saif U Munshi, Md Nazmul Karim

“…Among the statistical (60.6%) models, linear regression (18.3%), Poisson regression (18.3%), generalized additive models (16.7%) and time series/autoregressive models (26.7%) were notable. …”
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Flaxseed protein content prediction based on hyperspectral wavelength selection with fractional order ant colony optimization by Bo Wang, Junying Han, Chengzhong Liu, Jianping Zhang, Yanni Qi

“…By combining VNIR-HIS technology with the FOACO wavelength selection algorithm, this study offers an efficient and rapid method for determining the protein content of flaxseed, providing reliable technical support for the precise detection of nutritional components.…”
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YOLO-SW: A Real-Time Weed Detection Model for Soybean Fields Using Swin Transformer and RT-DETR by Yizhou Shuai, Jingsha Shi, Yi Li, Shaohao Zhou, Lihua Zhang, Jiong Mu

“…The research stands out for its novel integration of three key advancements: the Swin Transformer backbone, which leverages local window self-attention to achieve linear O(N) computational complexity for efficient global context capture; the CARAFE dynamic upsampling operator, which enhances small target localization through context-aware kernel generation; and the RTDETR encoder, which enables end-to-end detection via IoU-aware query selection, eliminating the need for complex post-processing. …”
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The path-label reconciliation (PLR) dissimilarity measure for gene trees by Alitzel López Sánchez, José Antonio Ramírez-Rafael, Alejandro Flores-Lamas, Maribel Hernández-Rosales, Manuel Lafond

“…Our contributions We show that PLR can be computed in linear time and that it is a semi-metric. We also discuss the diameters of reconciled gene tree measures, which are important in practice for normalization, and provide initial bounds on PLR, LRF, and ELRF. …”
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Optical Density Assay to Determine the Sensitivity of Globisporangium and Pythium Isolates to Mefenoxam by Umbrin Ilyas, Lindsey J. du Toit, Mary Ruth McDonald

“…There was a significant linear relationship (R2 = 0.97, P < 0.0001) between the two assays. …”
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Multimodal prediction of trait emotional intelligence-Through affective changes measured using non-contact based physiological measures. by Vrinda Prajapati, Rajlakshmi Guha, Aurobinda Routray

“…Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal interactions. …”
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A mixed-method approach to develop an eco-robust supply chain management framework for Bangladeshi RMG industries by Md Al Amin, Roberto Baldacci

“…This relationship analysis was followed by a Mixed-Integer Linear Programming optimization to select cost-effective strategies that maximize eco-robust performance under budget constraints. …”
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Exploration of Klebsiella pneumoniae M6 for paclobutrazol degradation, plant growth attributes, and biocontrol action under subtropical ecosystem. by Govind Kumar, Shatrohan Lal, Shailendra K Maurya, A K Bhattacherjee, Parul Chaudhary, Saurabh Gangola, Shailendra Rajan

“…In the soil system first order degradation kinetics and linear model suggested 4.5 days was the theoretical half-life (t1/2 value) of PBZ with strain M6. …”
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A Study on the Mechanical Properties and Bursting Liability of Coal-Rock Composites with Seam Partings by Dong Xu, Mingshi Gao, Yongliang He, Xin Yu

“…The experimental results were used to propose two technologies for controlling the stability of coal-rock composites to effectively ensure safe and efficient production at working faces.…”
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Neural Networks for Solving PDEs on Edge Computing Platforms: A Comprehensive Analysis by Segundo Francisco Segura Altamirano, Diana M. Castro Cardenas

“…This study evaluates neural networks as an efficient alternative, comparing 60 architectures and five optimizers on three single-board computers. …”
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