Knee Joint Torque Estimation in Femoral Prosthesis Users Using MMG and Low-Frequency Acceleration by Nobuhiro Hondo, Toshiaki Tsuji

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Investigating the Impact of Drill Point Angles on the Drilling Behavior of Date Palm Biocomposites: Experimental, ANN, and Taguchi Modeling by Riyadh Benyettou, Salah Amroune, Mohamed Slamani, Mohammad Jawaid, Alain Dufresne, Hassan Fouad, Tarek Bidi

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Predicting 30-Day Venous Thromboembolism Following Total Joint Arthroplasty: Adjusting for Trends in Annual Length of Stay by Johnathan R. Lex, MBChB, MASc, Robert Koucheki, MD, MEng, Aazad Abbas, MD, Jesse I. Wolfstadt, MD, MSc, FRCSC, FAAOS, Alexander S. McLawhorn, MD, MBA, Bheeshma Ravi, MD, PhD, FRCSC

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CALCULATION OF OPTIMAL TEMPERATURE OF AIR HEATING IN RECUPERATOR AT THE EXAMPLE OF OPERATING THERMAL FURNACE OF THE MODERN MACHINE-BUILDING PLANT FROM TECHNICAL-ECONOMICAL POINT OF... by V. I. Timoshpolskij, D. V. Mendeleev, M. L. German, I. A. Trusova, S. V. Korneev

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Sendotypes predict worsening renal function in chronic kidney disease patients by Thomas McLarnon, Steven Watterson, Sean McCallion, Eamonn Cooper, Andrew R. English, Ying Kuan, David S. Gibson, Elaine K. Murray, Frank McCarroll, Shu‐Dong Zhang, Anthony J. Bjourson, Taranjit Singh Rai

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Developing Machine Learning-based Control Charts for Monitoring Different GLM-type Profiles With Different Link Functions by Patrik Hric, Hamed Sabahno

“…In this paper, we propose an innovative approach that uses different machine-learning (ML) techniques for constructing control charts and monitoring generalized linear model (GLM) profiles with three different GLM-type response distributions of Binomial, Poisson, and Gamma, and by examining different link functions for each response distribution. …”
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Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study by Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

“…ObjectiveWe aimed to develop and validate machine-learning models to predict postoperative functional disability (≥5-point decrease in the Barthel Index) or in-hospital death in patients with cancer aged ≥ 65 years. …”
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Measurement of the Functional Size of Web Analytics Implementation: A COSMIC-Based Case Study Using Machine Learning by Ammar Abdallah, Alain Abran, Munthir Qasaimeh, Malik Qasaimeh, Bashar Abdallah

“…Next, a set of 50 web analytics projects were sized in COSMIC Function Points and used as inputs to various machine learning (ML) effort estimation models. …”
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Predicting rapid decline in kidney function among type 2 diabetes patients: A machine learning approach by Eri Nakahara, Kayo Waki, Hisashi Kurasawa, Imari Mimura, Tomohisa Seki, Akinori Fujino, Nagisa Shiomi, Masaomi Nangaku, Kazuhiko Ohe

“…Background: Diabetic kidney disease (DKD) is one of the typical complications of type 2 diabetes (T2D), with approximately 10 % of DKD patients experiencing a Rapid decline (RD) in kidney function. RD leads to an increased risk of poor outcomes such as the need for dialysis. …”
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Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach by Xiaoping Yi, Mingzhao Ma, Xueying Wang, Jinfan Zhang, Feifei Wu, Haimiao Huang, Qian Xiao, An Xie, Peng Liu, Alessandro Grecucci

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Contagious infection-free medical interaction system with machine vision controlled by remote hand gesture during an operation by Van Doi Truong, Hyun-Kyo Lim, Seongje Kim, Than Trong Khanh Dat, Jonghun Yoon

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Mean Field Initialization of the Annealed Importance Sampling Algorithm for an Efficient Evaluation of the Partition Function Using Restricted Boltzmann Machines by Arnau Prat Pou, Enrique Romero, Jordi Martí, Ferran Mazzanti

“…We conclude that these are good starting points to estimate the partition function with AIS with a relatively low computational cost. …”
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A novel measure for characterizing ultrasound device use and wear by Hamid Shokoohi, Andrew Goldsmith, Kay Negishi, Jeffrey R. Herrala, Eden Diamond, Sigmund Kharasch, Michael Blaivas, Andrew S. Liteplo

“…Once fully developed, the ULTrA score could be deployed in EDs and other clinical settings where POCUS is used to help streamline resources to maintain a functional and state‐of‐the‐art fleet of ultrasound machines over time.…”
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Investigating the Effects of Spectroscopic Method in Estimating Soluble Solid Content Values and Firmness of Cherries from an Environmental Point of View: Prediction of Environment... by Shirzad Naim, Shahgholi Gholamhossein, Ardabili Sina, Szymanek Mariusz

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Finding a predictive value for the degree of pain for partial rupture of the anterior cruciate ligament in terms of some indicators of the functional structure of the knee joint fo... by Ammar Mzial Shnta, Amaar Shanta

“…Objective: The research aimed to find predictive equations for the degree of pain among athletes with partial rupture of the anterior cruciate ligament as a function of measuring some indicators of the functional structure of the knee joint during the injury period on a sample of (18) of the injured, conducting the necessary tests and measurements. …”
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Lokomat-Assisted Robotic Rehabilitation in Spinal Cord Injury: A Biomechanical and Machine Learning Evaluation of Functional Symmetry and Predictive Factors by Alexandru Bogdan Ilies, Cornel Cheregi, Hassan Hassan Thowayeb, Jan Reinald Wendt, Maur Sebastian Horgos, Liviu Lazar

“…However, the objective evaluation of treatment effectiveness through biomechanical parameters and machine learning approaches remains underexplored. …”
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Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines by Simrandeep Kaur, Arti Singh, Abha Aggarwal

“…To mitigate the influence of noise, a new fuzzy support vector machine (NFSVM) is employed to select assets. Here, each sample point is assigned a membership value using a fuzzy membership function, as documented in existing literature [1]. …”
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TOPSIS vs Quality Loss Function Multi-Criteria Optimization of   Mechanical Performance in Laser Spot Welding Process by Ruba Khalil, Bassim Bachy

“…Multi-objective optimization techniques TOPSIS-Quality Loss Function were used, and the results were compared. …”
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Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 s... by Marwan T. Mezher, Alejandro Pereira, Rusul Ahmed Shakir, Tomasz Trzepieciński

“…To improve the quality of dissimilar welded joints, the welding parameters should be selected precisely. …”
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Associations Between Aromatic Compounds and Hepatorenal Biomarkers Among Coking Workers: Insights from Mediation Analysis by Dongming Chen, Hang Yu, Hailing Li, Guiying Li, Taicheng An

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