Integrated deep eutectic solvent (DES) extraction and microwave-assisted process for algal protein extraction: Process improvement, characterizations, functional properties, and an... by May Thu Zin, Thida Kaewkod, Jeeraporn Pekkoh, Wasu Pathom-aree, Supakit Chaipoot, Gochakorn Kanthakat, Phisit Seesuriyachan, Yan-Yu Chen, Kuan Shiong Khoo, Benjamas Cheirsilp, Sirasit Srinuanpan

“…These findings highlight the potential of Spirulina and Chlorella proteins as sustainable, algal-based ingredients for functional foods and nutraceutical applications while addressing challenges in optimization, scalability, and biomass variability.…”
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Logical minimization for combinatorial structure in FPGA by P. N. Bibilo, Yu. Yu. Lankevich, V. I. Romanov

“…The paper describes the research results of application efficiency of minimization programs of functional descriptions of combinatorial logic blocks, which are included in digital devices projects that are implemented in FPGA. …”
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Exploration design for Q-learning-based adaptive linear quadratic optimal regulators under stochastic disturbances by Vina Putri Virgiani, Shiro Masuda

“…Q-learning optimizes the state-action policy by estimating the Q-function iteratively. This study proposes exploration signal design for the bias-free Q-learning algorithm that modifies the recursively defined Q-function by adding a disturbance-influenced term and utilizes an Instrumental Variable (IV) technique to resolve the bias-error issue. …”
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An asymmetric fuzzy-based self-tuned PSO-Optimized MPPT controller for grid-connected solar photovoltaic system by Md. Naiem-Ur-Rahman, Md. Mahmudul Hasan, Afsana Mimi Raka, Md. Fayzur Rahman, Md. Masud Rana, Ahmed Al Mansur, Md. Abdur Razzak

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Jump around: Selecting Markov Chain Monte Carlo parameters and diagnostics for improved food web model quality and ecosystem representation by Gemma Gerber, Ursula M. Scharler

“…However, little information exists on how each LIM-MCMC algorithm parameter affects the degree of empirical data variability introduced into the ensemble. Further, post hoc algorithm quality diagnostics with commonly used trace plots and the coefficient of variation (CoV) rarely address critical aspects of algorithm quality, such as (1) if the returned ensemble successfully targeted the solution space distribution (stationarity), (2) correlation between ensemble solutions (mixing), and (3) if the ensemble contains enough solutions to adequately capture input data variability (sampling efficiency). …”
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Entropy analysis of Hall-effect-driven TiO2−CoFe2O4/ engine oil-based hybrid nanofluid flow between spinning porous disks with thermal convective boundaries by Sk Enamul, Surender Ontela

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An Improved Adaptive Car-Following Model Based on the Unscented Kalman Filter for Vehicle Platoons’ Speed Control by Caixia Huang, Wu Tang, Jiande Wang, Zhiyong Zhang

“…These enhancements lead to substantial improvements in traffic flow efficiency and string stability. The proposed approach offers a practical solution for coordinated platoon speed control in intelligent transportation systems, with promising application prospects for real-world implementation.…”
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Research on Small-Target Detection of Flax Pests and Diseases in Natural Environment by Integrating Similarity-Aware Activation Module and Bidirectional Feature Pyramid Network Mod... by Manxi Zhong, Yue Li, Yuhong Gao

“…Additionally, this paper adopts the EIOU loss function to further optimize the model’s bounding box regression, reducing the distortion of bounding boxes caused by high sample variability. …”
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Rolling Bearing Fault Diagnosis Method Based on SWT and Improved Vision Transformer by Saihao Ren, Xiaoping Lou

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Forecasting Industrial Electricity Consumption in Iran: A Novel Hybrid Approach for Sustainable Energy Management by Mohsen Rezaei

“…Accurately predicting industrial electricity consumption is essential for optimizing energy efficiency, and reducing costs in industrial operations. …”
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Mathematical modeling describing the performance of open loop multivariable vapor compression chiller model: implications for sustainable HVAC in social housing development by Basim Touqan, Basim Touqan, Muna Salameh

“…IntroductionThis study introduces a simplified multi-variable state-space model of a vapour compression chiller system, focusing on key components such as the condenser and evaporator.MethodsThe model is based on a previously validated state-space framework and has been further developed to generate a transfer function matrix with two inputs (refrigerant and cold carrier flow rates) and two outputs (cooling capacity and outlet temperature). …”
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Effects of stand age and soil microbial communities on soil respiration throughout the growth cycle of poplar plantations in northeastern China by Xiangrong Liu, Xiangrong Liu, Lingyu Hou, Lingyu Hou, Changjun Ding, Changjun Ding, Xiaohua Su, Xiaohua Su, Weixi Zhang, Weixi Zhang, Zhongyi Pang, Yanlin Zhang, Yanlin Zhang, Qiwu Sun, Qiwu Sun

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Morpho‐Physiological Traits and Dehydration Tolerance of High‐Altitude Andean Wetland Vegetation in the Chilean Atacama Region by Dariel López, Patricia L. Sáez, Lohengrin A. Cavieres, Fernanda C. Beveridge, Felipe Saavedra‐Mella, León A. Bravo

“…In this study, we characterized the functional trait spectrum of dominant plant species within the Salar de Pedernales, Quebrada Leoncito (Leoncito) and Río Negro HAWAs and explored the relationships between these traits and key environmental variables. …”
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Economic Analysis of Innovation Development Processes in Agriculture of the Republic of Uzbekistan by I. B. Rustamova, M. M. Babadjanova

“…The article provides econometric analysis of agricultural production efficiency in the Republic of Uzbekistan. As methodology for identifying the impact of land, labour resources and capital on the net output of agriculture Kobba - Douglas production function was used. …”
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A Novel Method for Inverting Deep-Sea Sound-Speed Profiles Based on Hybrid Data Fusion Combined with Surface Sound Speed by Qiang Yuan, Weiming Xu, Shaohua Jin, Xiaohan Yu, Xiaodong Ma, Tong Sun

“…By constructing a high-resolution regional sound speed field through WOA23 and historical SSP fusion, this method effectively mitigates spatiotemporal heterogeneity and seasonal variability. The artificial lemming algorithm (ALA) is introduced to optimize the inversion of empirical orthogonal function (EOF) coefficients, enhancing global search efficiency while avoiding local optimization. …”
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CLINICAL SIGNIFICANCE OF ASPIRIN RESISTANCE IN PATIENTS WITH CARDIO-VASCULAR DISEASES by P. J. Dovgalevsky, N. V. Furman, N. F. Puchinian

“…Possible reasons for this are discussed: low compliance with treatment, peculiarities of functional condition of platelets, genetically given variability of platelet receptors etc. …”
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Comparative Evaluation of Feed-Forward Neural Networks for Predicting Uniaxial Compressive Strength of Seybaplaya Carbonate Rock Cores by Jose W. Naal-Pech, Leonardo Palemón-Arcos, Youness El Hamzaoui

“…This work presents a comprehensive evaluation of four feed-forward artificial neural network (ANN) architectures—radial basis function (RBF), Bayesian regularized (BR), scaled conjugate gradient (SCG), and Levenberg–Marquardt (LM)—to predict UCS from three readily measured variables: water content, interconnected porosity, and real density. …”
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Obstacle Avoidance Planning of Manipulator Joints Based on an Improved Artificial Potential Field Method by Yue Xu, Zhou Haibo, Shao Yanpeng, Lu Shuai, Xu Wangbei, Deng Yuxin

“…The obstacle avoidance simulation of the manipulator is carried out in the presence of local minima of the APF. Adaptive variable-step path planning can generate smooth trajectories and improve the search efficiency. …”
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Thermal analysis of ternary hybrid nanofluid flow in convergent/divergent channel using Box-Behnken design of response surface methodology by Ibrahim Mahariq, C.M. Mohana, B. Rushi Kumar, Kezzar Mohamed, Mohamed Rafik SARI, Hamiden Abd El-Wahed Khalifa, Sunitha Nagarathnam

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Variational Iteration and Linearized Liapunov Methods for Seeking the Analytic Solutions of Nonlinear Boundary Value Problems by Chein-Shan Liu, Botong Li, Chung-Lun Kuo

“…The boundary shape function method transforms the boundary value problem to an initial value problem (IVP) for a new variable. …”
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