Tuning, Impedance Matching, and Temperature Regulation during High-Temperature Microwave Sintering of Ceramics by Sylvain Marinel, Nicolas Renaut, Etienne Savary, Rodolphe Macaigne, Guillaume Riquet, Christophe Coureau, Thibault Gadeyne, David Guillet

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Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines by Dariusz PLEBAN

“…The acoustic modelling of machines may be carried out using a set of omni-directional substitute sound sources, located in points related to the functional elements of machines. …”
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Toward Symmetry in Accessible Restrooms Design: Integrating KE, RST, and SVM for Optimized Emotional-Functional Alignment by Zimo Chen, Jingwen Tian, Hongtao Zhou, Duan Wu

“…The exhaustive prediction of 15,750 feasible design combinations pinpointed an optimal configuration; follow-up user testing confirmed the improvement in satisfaction (mean 5.1 on a seven-point scale). The KE–RST–SVM workflow thus offers a reproducible, data-driven path for harmonizing emotional and functional objectives in inclusive restroom design, and can be extended to other barrier-free facilities.…”
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Phenotypical, Behavioral, and Systemic Hallmarks in End-Point Mouse Scenarios by Lidia Castillo-Mariqueo, Daniel Alveal-Mellado, Lydia Giménez-Llort

“…In the present work, we analyzed the physical and behavioral hallmarks of end-point status in 16-month-old mice (C57BL/6J) according to animal welfare regulations compared to age-matched counterparts with normal aging. …”
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Suitability of multifunction mobile devices for registration of accounting data of game animals by V. M. Glushkov, Yu. V. Krotov

“…Preferential match of center points indicates the presence of both occurring on both devices increase and decrease the error is not related to their parametric data. …”
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Learning Discrete-Time Uncertain Nonlinear Systems With Probabilistic Safety and Stability Constraints by Iman Salehi, Tyler Taplin, Ashwin P. Dani

“…The controlled dynamic model of a discrete-time system with a zero-mean Gaussian process noise is approximated using an Extreme Learning Machine (ELM) whose parameters are learned subject to chance constraints derived using a discrete-time control barrier function and discrete-time control Lyapunov function in the presence of the ELM reconstruction error. …”
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Optimum Design of Multi-Section Asymmetrical Transdirectional Couplers with Port Impedance Matching up to S Band Frequency by Homayoon Oraizi, Mohammad Javad Siahkari

“…According to design specifications, error function depends on physical parameters of coupler (such as widths, spacings and lengths of transmission line sections and capacitor values), of which minimum point gives optimum values of it’s dimensions and capacitors. …”
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Physics-Informed Deep Learning for Three Dimensional Black Holes by Emad Yaraie, Hossein Ghaffarnejad, Mohammad Farsam

“…Values of the regularization or penalty term of the quantum scalar field has critical role to matching this two mentioned metric. Also, we design an algorithm which helps us to find optimum value for learning parameter and finally, we understand that loss function convergence heavily depends on the number of epochs and learning rate.…”
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Modular Multi‐Parametric and Portable Readout System for Point‐of‐Care Applications by Dibyendu Khan, Thossaporn Wijakmatee, Aniruddha Sriram, Aidin Nikookhesal, Elmar Weinhold, Yusuke Shimoyama, Vivek Pachauri, Sven Ingebrandt

“…An interactive graphical‐user‐interface developed for this system supports point‐of‐care usage. The measurements carried out with the portable system showed a very close match with a commercial set‐up, with deviations less than 1 nm in the optical spectra and less than 0.5 °C in temperature.…”
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Integrating Machinery Safety Functions Into Functional Safety for Process Industry by Gregor Schmitt-Pauksztat, Dirk Hablawetz, Marco Knödler, Dominic de-Kerf, Christian Demski, Marc Risser, Ugo Dehner

“…From a Process Industry point of view, the integration of Machinery Safety Functions into Functional Safety for Process Safety has always been a challenge. …”
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Democratization of Point-of-Care Viral Biosensors: Bridging the Gap from Academia to the Clinic by Westley Van Zant, Partha Ray

“…While traditional laboratory methods remain essential, point-of-care solutions are critical for decentralized testing at the population level. …”
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Operating Point Optimization of Agricultural Tractor–Implement Combinations as Constraint Optimization Problem by Benjamin Kazenwadel, Marina Graf, Lukas Michiels, Marcus Geimer

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Gut dysbiosis narrative in psoriasis: matched-pair approach identifies only subtle shifts correlated with elevated fecal calprotectin by Bayazit Yunusbayev, Anna Bogdanova, Nadezhda Nadyrchenko, Lavrentii Danilov, Viktor Bogdanov, Grigory Sergeev, Radick Altinbaev, Fanil Bilalov, Milyausha Yunusbaeva

“…We next showed that these enriched species were correlated with elevated biomarkers of intestinal and systemic inflammation and liver function. Functionally, one of the top species, Megasphaera elsdenii, is a potent lactate utilizer in the context of intestinal lactic acidosis and inflammation. …”
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Fast Frequency-Domain Compressed Sensing Analysis for High-Density Super-Resolution Imaging Using Orthogonal Matching Pursuit by Saiwen Zhang, Jingjing Wu, Danni Chen, Siwei Li, Bin Yu, Junle Qu

“…Unlike the CSSTORM method, which is a measurement matrix based on the point spread function, a Fourier dictionary designed in the frequency domain and orthogonal matching pursuit is used to reliably recover the original signal. …”
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Advances in Corneal Diagnostics Using Machine Learning by Noor T. Al-Sharify, Salman Yussof, Nebras H. Ghaeb, Zainab T. Al-Sharify, Husam Yahya Naser, Sura M. Ahmed, Ong Hang See, Leong Yeng Weng

“…Several diagnostic techniques, such as corneal topography, are crucial points of discussion. This paper also examines the use of machine learning models, specifically Decision Tree and Nearest Neighbor Analysis, which enhance the accuracy of diagnosing based on topographical corneal parameters from corneal topography. …”
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Visual SLAM algorithm for underground robots in coal mines based on point-line features by Li WANG, Tianxiang ZANG, Bo SU

“…For the low-texture scene, a stable LSD(Line Segment Detector) line feature extraction algorithm is introduced at the front end, and a point-line joint algorithm is proposed, which groups the line features according to the feature point grid, and matches the line features according to the matching results of the feature points, so as to reduce the matching complexity of the line features and save the pose estimation time. …”
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Cybersecurity Requirements for Industrial Machine Control Systems by Leszek Kasprzyczak, Anna Manowska, Marek Dźwiarek

“…The next section reviews the current research on cybersecurity in machine control systems. This section also points out the research gaps that the article aims to fill. …”
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Experimental modelling and research on vibroacoustic phenomena in machines by D. Pleban

“…The acoustic modelling of machines may be carried out using a system of omni-directional substitute sound sources, deployed in points related to the functional elements of machines. …”
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An Interior Point Method for L1/2-SVM and Application to Feature Selection in Classification by Lan Yao, Xiongji Zhang, Dong-Hui Li, Feng Zeng, Haowen Chen

“…To solve this nonconvex and non-Lipschitz optimization problem, we first transform it into an equivalent quadratic constrained optimization model with linear objective function and then develop an interior point algorithm. …”
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An optimized feature selection using triangle mutation rule and restart strategy in enhanced slime mould algorithm by Ibrahim Musa Conteh, Gibril Njai, Abass Conteh, Qingguo Du

“…Comparison with benchmark testing on CEC2017 functions confirms TRSMA’s ability to perform global optimization. …”
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