Sensitivity to Instruction Strategies in Motor Learning Is Predicted by Anterior–Posterior TMS Motor Thresholds by Michael L. Perrier, Kylee R. Graham, Jessica E. Vander Vaart, W. Richard Staines, Sean K. Meehan

“…Recent transcranial magnetic stimulation (TMS) studies suggest that variability in interneuron recruitment by anterior–posterior (AP) currents is linked to differences in functional connectivity between premotor and motor regions. …”
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On a Solution of a Third Kind Mixed Integro-Differential Equation with Singular Kernel Using Orthogonal Polynomial Method by Ahmad Alalyani, M. A. Abdou, M. Basseem

“…The singular kernel is modified to take a logarithmic form, while the kernels of time are continuous and positive functions. Using the separation of variables technique, we have a system of Fredholm integral equations (FIEs) that can be transformed into an algebraic system after using orthogonal polynomials. …”
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Handwritten Words Image Character Extraction Adaptive Algorithm Based on the Multi-branch Structure by GUO Xiaojing, ZHAO Xiaoyuan, ZOU Songlin

“…Higher identification precision and efficiency serve as reference indices for evaluating the model. …”
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An Effective AFNIS-MPPT-Based Method for Optimizing Hybrid Energy Harvesting Systems by Muhammad Saqib, Ghulam Sarwar Kaloi, Mehr Gul, Muhammad Shahzad Nazir, Mohsin Ali Koondhar, Lutfi Albasha, Faisal Alsaif

“…The increasing global demand for renewable energy, particularly from solar and wind sources, highlights the need for sophisticated control strategies to optimize power generation efficiency. Maximum Power Point Tracking (MPPT) techniques are essential for improving the performance of Hybrid Renewable Energy Systems by maximizing power extraction from variable sources. …”
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Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…A five-step methodology was implemented: defining variables, executing heuristics, compiling results, evaluating outcomes, and selecting the most effective heuristic. …”
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Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

“…During the optimization process, these controlling parameters are used as a design variable whereas the objective function required to me be a maximum is the summation of turbidity removal and salinity removal. …”
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Digital Twin Control Method of Machine Tool Feed Rate Based on Fuzzy Neural Network by YIN Jia, BAI Lele, TIAN Hui, WU Shijie, Hou Guijin, TANG Yuyang, LIU Hongguang, ZHANG Jun

“…The role of the digital twin in the cutting process is to connect machine tools with the developed digital monitoring system so that the machine tools can realize condition monitoring and adaptive optimization in the process of complex parts machining, and improve the machining accuracy and efficiency of parts. In the current milling process of aviation parts, considering many factors such as deformation, roughness, and tool wear, process engineers always set conservative parameters based on experience, resulting in low machining efficiency, and an inability to adaptively adjust the cutting parameters according to the cutting trajectory and machine load. …”
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AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning by Teja Kattenborn, Ronny Richter, Claudia Guimarães‐Steinicke, Hannes Feilhauer, Christian Wirth

“…The plausibility of the predicted leaf angle time series was underlined by its close relationship with environmental variables related to transpiration. The evaluations confirm that AngleCam is a robust and efficient method to track leaf angles under field conditions. …”
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An Hfq-dependent post-transcriptional mechanism fine tunes RecB expression in Escherichia coli by Irina Kalita, Ira Alexandra Iosub, Lorna McLaren, Louise Goossens, Sander Granneman, Meriem El Karoui

“…Furthermore, specific disruption of the Hfq-binding site leads to more efficient translation of recB mRNAs. In addition, we observe a less effective reduction of RecB protein fluctuations in the absence of Hfq. …”
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Optimization of medium components for the production of exopolysaccharide by Lycoperdon pyriforme Schaeff.: Pers. using response surface methodology by MA Xiaokui, JIANG Hua, LI Junzhi, CHEN Yong, HE Xiaojing

“….: Pers. is one of medicinal macro-fungi, which has become an attractive topic as a functional food and as a source for the development of drugs and nutraceuticals. …”
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A Brief Political Economy of Energy Subsidies in the Middle East and North Africa by Laura El-Katiri, Bassam Fattouh

“…While it is clear that energy subsidy reform will not be the only variable at play, its potential socio-economic dividends are important factors for enabling some common regional objectives—sustainable fiscal policies, fiscal space to invest in key areas, and a more efficient and equitable distribution of scarce resources—to be achieved, helping to promote a more stable political status quo in the long term. …”
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Classification of Biological Data using Deep Learning Technique by Azha Javed, Muhammad Javed Iqbal

“…Previous work failed to properly address issues related to the classification of biological sequences i.e. protein including efficient encoding of variable length biological sequence data and implementation of deep learning based neural network models to enhance the performance of classification/ recognition systems. …”
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Haemodynamics-driven developmental pruning of brain vasculature in zebrafish. by Qi Chen, Luan Jiang, Chun Li, Dan Hu, Ji-wen Bu, David Cai, Jiu-lin Du

“…The brain blood vasculature consists of a highly ramified vessel network that is tailored to meet its physiological functions. How the brain vasculature is formed has long been fascinating biologists. …”
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Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

“…The objective functions were to optimize the exergy efficiency and the heat cost. …”
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Simulation Model for Hardware-in-the-Loop Tests of the ILR-33 AMBER Rocket Control System by Dawid Cieśliński, Rafał Dziczkaniec, Jan Kierski, Cezary Szczepański, Michał Welcer

“…It permits us to simulate flight dynamics in a 6DOF environment, with consideration of the variable thrust, mass-inertia, and aerodynamics. It reproduces key functionalities of on-board computer and sensors and allows us to reproduce multiple mission scenarios. …”
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ASSESSING THE FARMERS’ SATISFACTION WITH THE PARTICIPATORY COCONUT PLANTING PROJECT (PCPP) USING REGRESSION ANALYSIS by Leomarich F. CASINILLO

“…The data were summarized through descriptive calculations and determine the association of variables with the aid of regression analysis. Results of the study have depicted that coconut farmers, on average, are satisfied with the different functions of PCPP in regard to their farming activities. …”
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains by Taufik Iqbal Miftaks, Muhammad Azis Muslim, Mochammad Rusli

“…SMC is a type of non-linear control that functions functionally to control variable structures. …”
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Polynomial Chaos Expansion Approach to Interest Rate Models by Luca Di Persio, Gregorio Pellegrini, Michele Bonollo

“…The Polynomial Chaos Expansion (PCE) technique allows us to recover a finite second-order random variable exploiting suitable linear combinations of orthogonal polynomials which are functions of a given stochastic quantity ξ, hence acting as a kind of random basis. …”
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Distributed generation plants multi-agent controlling system by YU. N. Bulatov, A. V. Kryukov

“…The adaptability of the system against variable conditions and applicability of the multi-agent technologies during creation of electric power supply smart grids was demonstrated.…”
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Comparative Analysis of Fully Guided and Free-Hand Orthognathic Surgery: Advancements, Precision, and Clinical Outcomes by Sophia Tsokkou, Ioannis Konstantinidis, Antonios Keramas, Georgios Kiosis, Kanellos Skourtsidis, Danai Alexiou, Georgia-Nektaria Keskesiadou, Sofia Karachrysafi, Theodora Papamitsou, Ioannis Chatzistefanou

“…Key parameters analyzed include surgical precision, operative efficiency, complication rates, and functional/aesthetic results. …”
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