A Cost of Misclassification Adjustment Approach for Estimating Optimal Cut-Off Point for Classification by O.-A. Ampomah, R. Minkah, G. Kallah-Dagadu, E. N. N. Nortey

“…By doing so, we can systematically shift the cut-off point within its measurement range till the optimal point is obtained. …”
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Vibroacoustic monitoring of bearing points failures in the driving system of the mining main ventilation fans by T. ZAKRZEWSKI

“…It is worth noting that considerably less work has been devoted to the elaboration of methods of vibroacoustic diagnosis for slide bearings than the methods for rolling bearings although slide bearings also constitute weak points in a number of machines. Many reasons account for such a situation, above all the fact that a slide bearing is characterized by low vibroactivity in comparison with that of other points of machines. …”
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Joint image reconstruction and segmentation of real-time cardiovascular magnetic resonance imaging in free-breathing using a model based on disentangled representation learning by Tobias Wech, Oliver Schad, Simon Sauer, Jonas Kleineisel, Nils Petri, Peter Nordbeck, Thorsten A. Bley, Bettina Baeßler, Bernhard Petritsch, Julius F. Heidenreich

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Patient-reported outcome 1 to 4 years after periprosthetic knee fracture: a nationwide cross-sectional matched study by Stefan Kastalag Risager, Bjarke Viberg, Charlotte Skov Abrahamsen, Kristine Bollerup Arndt, Anders Odgaard, Martin Lindberg-Larsen

“…We aimed to compare patient-reported outcome (PRO) scores reported between 1 and 4 years after PPKF with a matched uncomplicated TKA control group. Methods: This nationwide cross-sectional matched cohort study included 372 TKA patients with a PPKF occurring from 2019 to 2022 and a control group of 878 uncomplicated TKA patients matched by age, time since TKA, and sex. …”
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Accelerating machine learning at the edge with approximate computing on FPGAs by Luis Gerardo León-Vega, Eduardo Salazar-Villalobos, Jorge Castro-Godínez

“… Performing inference of complex machine learning (ML) algorithms at the edge is becoming important to unlink the system functionality from the cloud. …”
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Machine learning for discrimination of phase‐change chalcogenide glasses by Qundao Xu, Meng Xu, Siqi Tang, Shaojie Yuan, Ming Xu, Wei Zhang, Xian‐Bin Li, Zhongrui Wang, Xiangshui Miao, Chengliang Wang, Matthias Wuttig

“…This has led to a dilemma in materials design since an atomistic view of the arrangement in the amorphous state is the key to understanding and optimizing the functionality of these glasses. To tackle this challenge, we present a machine learning (ML) approach to separate electronic phase‐change materials (ePCMs) from other chalcogenides, based upon subtle differences in the short‐range order inside the glassy phase. …”
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ETC-PCR: Coarse-to-Fine Edge-Triangle Compatibility for Robust and Accurate Point Cloud Registration by Mingyuan Zhao, Long Xu

“…Accurately estimating the 6D pose of objects or scenes is a fundamental challenge in point cloud registration (PCR), especially when dealing with partially overlapping scenarios. …”
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Addressable and perceptible dynamic reprogram of ferromagnetic soft machines by Yuxuan Sun, Boxi Sun, Xiang Cui, Weihua Li, Yue Zhang, Li He, Shutong Nong, Zhengqing Zhu, Jiyang Wu, Dongxiao Li, Xingxiang Li, Shiwu Zhang, Xiangyang Li, Mujun Li

“…The machine body is composed of microbeads made from a low-melting-point alloy and NdFeB microparticles. …”
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The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Qi Wang, Hao Wu

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Study of the work of modern logging machines in mountain conditions by Glushkov Sergey, Boyadzhiev Dmitryi, Chernykh Aleksander, Popikov Petr, Afonichev Dmitryi, Abramov Vitaliy, Polukarov Dmitryi, Savchenko Konstantin, Zhuzhukin Stanislav

“…This allows for a comprehensive assessment of the functioning of the Mounty 4000 machine simultaneously from economic and environmental points of view at the stage of technological design of logging operations.…”
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Analysis of variant interactions in families with autism points to genes involved in the development of the central nervous system. by Jacek Kaczyński, Marta Pasenkiewicz-Gierula

“…Analysis of the statistical interactions also points to genes whose biological functions are not yet known.…”
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Multi-point sensing organic light-emitting diode display based mobile cardiovascular monitor by Chul Kim, Kwangjin Lee, Jongin Kim, Dongwook Yang, Hyeonjun Lee, Gyeongub Moon, Yuna Kim, Dongrae Cho, Kwang Soo Bae, Gunhee Kim, Yongjo Kim, Changhee Lee

“…Therefore, we achieved: 1) multi-point concurrent photoplethysmography and high-resolution dynamic image sensing, and 2) user-interactive sensing within the large display area. …”
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Control and management in a complex biotechnical system of a dairy farm by V. V. Kirsanov, R. A. Baisheva

“…The research is aimed at profound study of the influence of the "machine" factor (M) in the "human-machineanimal" system ("H-M-A") with the detailed description of the functions performed by "M", taking into account the convey of "M" control and control functions from the subsystems "human-operator" (HO) and "animal" (A). …”
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Physics‐Guided Deep Learning for Modeling Single‐Point Wave Spectra Using Wind Inputs of Two Resolutions by Tianxiang Gao, Haoyu Jiang

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Efficacy and safety of belimumab therapy for patients with lupus nephritis: A meta‐analysis and a propensity score‐matched case–control study by Kai Zhang, Tiening Qi, Donghua Guo, Youxia Liu

“…In our case–control study, significant improvement in proteinuria was demonstrated with belimumab at Week 48 (p = 0.037) and at all subsequent time points (all p < 0.05). Over the course of 96 weeks, belimumab treatment was associated with renal function stabilization and an increase in C3 and C4 levels. …”
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ALBI Grade Is Associated with Clinical Outcomes of Critically Ill Patients with AKI: A Cohort Study with Cox Regression and Propensity Score Matching by Chao Yang, Zhikang Yu, Bo Peng, Changkun Mao, Junting Li, Yongsheng Cao

“…The albumin–bilirubin (ALBI) grade has surfaced as a viable substitute for assessing liver functional reserve in individuals afflicted with hepatocellular carcinoma (HCC). …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Three types of machine learning classifiers are used: Tree-based, Function-based, and Rule-based. …”
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Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

“…Aiming at fault diagnosis of axial piston pumps, a new fusion method based on the extreme-point symmetric mode decomposition method (ESMD) and random forests (RFs) was proposed. …”
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$$\alpha$$ -decay half-life predictions with support vector machine by Amir Jalili, Feng Pan, Jerry P. Draayer, Ai-Xi Chen, Zhongzhou Ren

“…Our analysis of 2232 nuclear data points demonstrates that the use of the radial basis function kernel yields predictive models with root mean square errors of 0.819 (for set1) and 0.352 (for set2), aligning with results obtained from comparable machine learning methodologies. …”
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Simplified Robotics Joint-Space Trajectory Generation with a via Point Using a Single Polynomial by Robert L. Williams

“…This paper presents novel fourth- and sixth-order polynomials to solve the problem of joint-space trajectory generation with a via point. These new polynomials use a single-polynomial function rather than two-polynomial functions matched at the via point as in previous methods. …”
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