Augmented robustness in home demand prediction: Integrating statistical loss function with enhanced cross-validation in machine learning hyperparameter optimisation by Banafshe Parizad, Ali Jamali, Hamid Khayyam

“…Sustainable forecasting of home energy demand (SFHED) is crucial for promoting energy efficiency, minimizing environmental impact, and optimizing resource allocation. …”
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Mitochondrial respiratory chain and Krebs cycle enzyme function in human donor livers subjected to end-ischaemic hypothermic machine perfusion. by Hamid Abudhaise, Jan-Willem Taanman, Peter DeMuylder, Barry Fuller, Brian R Davidson

“…Mitochondria likely respond to variable perfusate oxygen levels by adapting their respiratory function during end-ischaemic HMP. …”
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Multi-functional PGPR Serratia liquefaciens confers enhanced resistance to lead stress and bacterial blight in soybean (Glycine max L.) by Mohamed A. El-Esawi, Hayssam M. Ali, Ashraf Atef Hatamleh, Munirah Abdullah Al-Dosary, Enas M. El-Ballat

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Improvements of particle filter optimization algorithm for robust optimization under different types of uncertainties by Éva Kenyeres, Alex Kummer, János Abonyi

“…The results verify that the proposed method is able to find robust optimums efficiently under parameter and decision variable uncertainties, as well.…”
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Cost-effective medium optimization and functional enhancement of Lactiplantibacillus plantarum 22F for industrial-scale probiotic production in swine feed by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

“…Background and Aim: Industrial-scale probiotic production requires economically viable media formulations that do not compromise strain functionality. This study aimed to develop a cost-effective medium for cultivating Lactiplantibacillus plantarum 22F (L22F), a probiotic candidate isolated from swine feces, while evaluating its industrial viability and functional metabolic profile. …”
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Novel Data-Driven PDF Modeling in FGM Method Based on Sparse Turbulent Flame Data by Guihua Zhang, Jiayue Liu, Yuxin Wu, Guangxi Yue

“…The Flamelet Generated Manifold (FGM) method is widely employed in turbulent combustion simulations due to its high accuracy and computational efficiency. However, the model’s ability to capture turbulent combustion interactions is limited by the shape of the presumed probability density function (PDF) of the mixture fraction and progress variable. …”
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Rapid global antenna design by simplex regressors and multi-resolution simulations by Slawomir Koziel, Anna Pietrenko-Dabrowska, Stanislaw Szczepanski, Leifur Leiffson

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Different dry-wet pulses favor different functional strategies: A test using tropical dry forest tree species. by Flor Vega-Ramos, Lucas Cifuentes, Fernando Pineda-García, Todd Dawson, Horacio Paz

“…In many terrestrial habitats, plants experience temporal heterogeneity in water availability both at the intra and inter annual scales, creating dry-wet pulse scenarios. This variability imposes two concomitant challenges for plants: surviving droughts and efficiently utilizing water when it becomes available, whose responses are closely interconnected. …”
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Automated extraction of functional biomarkers of verbal and ambulatory ability from multi-institutional clinical notes using large language models by Levi Kaster, Ethan Hillis, Inez Y. Oh, Bhooma R. Aravamuthan, Virginia C. Lanzotti, Casey R. Vickstrom, Brain Gene Registry Consortium, Christina A. Gurnett, Philip R. O. Payne, Aditi Gupta

“…Conclusions LLMs are effective at extracting functional biomarkers from EHR data and broadly generalizable across variable note-taking practices and institutions. …”
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Structural Analysis of Multi-Core Processor and Reliability Evaluation Model by Sergo Tsiramua, Hamlet Meladze, Tinatin Davitashvili, Jose-Maria Sanchez-Sáez, Francisco Criado-Aldeanueva

“…In the present paper, the models of structural analysis and evaluation of efficiency indicators (reliability, fault tolerance, viability, and flexibility) of a multi-core processor with variable structure, equipped with multi-functional cores, are considered. …”
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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…Through approximation, a generating dependence of the switching frequency of the converter’s power switches on the harmonic distortion coefficient of the stator and rotor currents of the asynchronous motor has been established. The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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ENERGY MANAGEMENT POLICY SELECTION IN SMART GRIDS: A CRITIC-CoCoSo METHOD WITH Lq*q -rung ORTHOPAIR MULTI-FUZZY SOFT SETS by Mahalakshmi Pethaperumal, Vimala Jayakumar, Dragan Pamucar, S Rajareega, Tamil Vizhi Mariappan

“…To address these challenges, our study introduces a novel decision- making framework that leverages a new score function for comparing q- rung orthopair multi-fuzzy soft numbers. …”
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Cross-Modal Hashing Retrieval Based on Density Clustering by Xiaojun Qi, Xianhua Zeng, Hongmei Tang

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Optimizing hospital length of stay and bed allocation using a fuzzy stochastic transportation problem framework with lomax distribution, by Dr.D. Kalpanapriya, Pullooru Bhavana

“…Additionally, the integration of fuzzy and stochastic elements led to a 20 . reduction in bed allocation mismatches, optimizing resource utilization across hospital departments. • Novel Integration of Lomax Distribution in FSTPWLD: Utilizes the Lomax distribution to model heavy-tailed LOS data, capturing inherent uncertainty and variability in hospital discharge times. • Optimized Decision-Making for Healthcare Management: Employs probabilistic constraints and fuzzy stochastic models to balance operational costs and patient care quality, improving resource allocation. • Validated through Simulations and Practical Scenarios: Numerical experiments highlight the model's effectiveness in reducing bottlenecks and enhancing hospital administration efficiency.…”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR CUTTING MECHANISM OF ROADHEADER BASED ON IMPROVED GENETIC ALGORITHM by MAO Jun, PAN DeWen, XIE Miao, ZHENG GuangHui

“…The comprehensive performance of cutting mechanism of roadheader is decided by cutting dust,quantity of pick consumption,specific density consumption,load fluctuation and production efficiency. This paper takes motion parameters and structure parameters of cutting mechanism for design variables and optimizes multi-objective function of comprehensive performance of cutting mechanism based on the improved genetic algorithm. …”
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Exploring the potentials of mango-orange leaf extract as an inhibitor on carbon steel in an acidic medium: Optimization, kinetics, and thermodynamics by Elijah Emeteveke Aghogho, Prosper Eguono Ovuoraye, Innocent Oseribho Oboh, Oluwafemi Osarhiemen Olayebi

“…The effects of optimized variables on corrosion inhibition were examined. The result confirmed optimum inhibition efficiency of 96 % corresponding to MOEx concentration, temperature, and time of 450 ppm, 30 0C, and 3 h recorded at an optimum acid concentration of 1.3 M of H2SO4. …”
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Novel active-feedback device improves sleep quality in insomnia disorder: a randomized placebo-controlled trial by Antonia Ypsilanti, Maan van de Werken, Anna Robson, Petra Examilioti, Lambros Lazuras, Lambros Lazuras

“…ObjectivesInsomnia disorder is a public health challenge associated with impaired cognitive functioning, reduced quality of life, and adverse mental health outcomes. …”
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Different whole body HIIT protocols do not promote different muscle thickness and functional adaptations among healthy physically active subjects by Alexandre L. Evangelista, Júlio B. B. de Camargo, Roberta L. Rica, Luiz Carlos Carnevali Júnior, Gregg S. Mallett, Valentina Bullo, Marco Bergamin, Stefano Gobbo, Danilo S. Bocalini

“…Morphological (ultrasound-derived muscle thickness of the vastus lateralis [MTVL]) and general fitness (muscle endurance and maximal oxygen consumption) assessments were performed at pre- and post-intervention moments.ResultsBoth training protocols elicited significant improvements in all dependent variables (p < 0.05), with no significant between-group differences.ConclusionRegardless of the training configuration, both WB-HIIT programs serve as time-efficient strategies to induce changes in muscle thickness of the vastus lateralis and functional adaptations in healthy, physically active young individuals.…”
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