Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

“…In this contribution, we demonstrate that machine learning (ML) and artificial intelligence (AI) approaches (support vector machines, Gaussian process regressions, and artificial neural networks) can predict relevant film parameters more efficiently and with higher accuracy and flexibility compared to sophisticated EHL simulations and analytically solvable proximity equations, respectively. …”
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Randomised controlled trial of gradual antipsychotic reduction and discontinuation in people with schizophrenia and related disorders: the RADAR trial (Research into Antipsychotic... by Rachael Hunter, Louise Marston, Nick Freemantle, Sonia Johnson, Joanna Moncrieff, Vanessa Pinfold, Stefan Priebe, Robert Horne, Thomas R E Barnes, Glyn Lewis, Nicola Morant, Lyn J Kent, Ruth Smith, Katherine Darton, Nadia E Crellin, Ruth E Cooper

“…Although multiple trials conducted with people with schizophrenia indicate an increased risk of relapse in the short-term following abrupt antipsychotic discontinuation, there is little evidence about the long-term outcome of a gradual process of reduction and discontinuation on social functioning, relapse and other outcomes.Methods and analysis This is a multicentre, randomised controlled trial involving people with schizophrenia and related disorders who have had more than one episode. …”
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Harm Reduction Contingency Management for Stimulant Use Reduction and Antiretroviral Therapy Adherence in HIV Primary Care: Protocol for an Implementation Effectiveness Study by Gabriela Steiner, Stefan Baral, Elise D Riley, Steven Shoptaw, Gabriel Chamie, Kate Roberts, Lauren Suchman, Kelly Knight, Monica Gandhi, Phillip Coffin, Ayesha Appa

“…However, CM is not widely implemented, in part due to feasibility concerns. Although reductions in substance use short of full abstinence can improve health outcomes, CM programs typically target complete abstinence from stimulant use rather than reduction. …”
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A Solution for Predicting the Timespan Needed for Grinding Roller Bearing Rings by Cezarina Chivu, Mitica Afteni, Gabriel Radu Frumusanu, Florin Susac

“…The optimal management of manufacturing processes can be achieved through a set of optimal decisions, which must be made to choose the best method to follow every time the process planner reaches a point when several potential manufacturing paths branch off. …”
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Manufacturing Process of Stealth Unmanned Aerial Vehicle Exhaust Nozzles Based on Carbon Fiber-Reinforced Silicon Carbide Matrix Composites by Byeong-Joo Kim, Jae Won Kim, Man Young Lee, Jong Kyoo Park, Nam Choon Cho, Cheul Woo Baek

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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

“…Implementation of artificial neural networks for modeling and prediction of this process still remains challenging. …”
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Arc plasma‐deposited Co single‐atom catalysts supported on an aligned carbon nanofiber for hydrogen peroxide electrosynthesis and an electro‐Fenton process by Chang‐Kyu Hwang, Sooyeon Kim, Ki Ro Yoon, Thao Thi Le, Chinh V. Hoang, Jae Won Choi, Wenjun Zhang, Sae Yane Paek, Chung Hyeon Lee, Ji Hyun Lee, Keun Hwa Chae, Sohee Jeong, Seung Yong Lee, Byeong‐Kwon Ju, Sang Hoon Kim, Sang Soo Han, Jong Min Kim

“…Based on the surface oxidation treatment of aligned CNF and precise control of the deposition amount in a dry‐based APD process, we successfully form densely populated Co SACs on aligned CNF. …”
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Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks by Deependra Rastogi, Prashant Johri, Massimo Donelli, Lalit Kumar, Shantanu Bindewari, Abhinav Raghav, Sunil Kumar Khatri

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Mid- to long-term clinical outcomes of modified technique skip-level titanium plate fixation in cervical laminoplasty compared to continuous fixation by Shuo Feng, QiRui Zhu, Yang Sun, ZiYao Ding, Zhe Zhuang, Heng-Heng Yu, Ma-Ji Sun, Feng Yuan

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Research of production technology as a factor influencing the time of the product assembly cycle by V. S. Ponomareva, O. V. Khomutskaya

Subjects: “…technological process…”
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Comparative Study of Organics Removal from Refinery Wastewater by Photocatalytic Fenton Reaction Coupled with Visible Light and Ultraviolet Irradiation by Sanarya K. Kamal, Zeyad M. Mustafa, Ammar S. Abbas

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Optimal number of imperfect repairs for deteriorating systems by Khatereh Rajinia, Mostafa Razmkhah

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Biomimetic Structural Design for Reducing the Adhesion Between Wet Rice Leaves and Metal Surfaces by Pengfei Qian, Qi He, Zhong Tang, Tingwei Gu

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The MECOVMA Framework: Implementing Machine Learning Under Macroeconomic Volatility for Marketing Predictions by Manuel Muth

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Multi-Objective Parameter Optimization of Rotary Screen Coating Process for Structural Plates in Spacecraft by Yanhui Guo, Yanpeng Chen, Peibo Li, Xinfu Chi, Yize Sun

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Mechanism, models, and influence of heterogeneous factors of the microarc oxidation process: A comprehensive review by Pecherskaya Ekaterina, Golubkov Pavel, Konovalov Sergey, Gurin Sergey, Novichkov Maksim

“…The analysis of scientific works devoted to the mathematical description of the MAO process has been carried out. It is shown that the existing mathematical models have limitations, and are applicable only to certain aspects of coating formation and do not describe the MAO process as a whole. …”
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Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

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High-Throughput Sequencing Reveals the Microbial Community Succession Process During the Fermentation of Traditional Daizhou Huangjiu by Linhua Cui, Jiaying Zhu, Ting Zhang, Qi Li, Yunlong Li, Guoqiang Gao

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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation by Amirreza Kandiri, Ramin Ghiasi, Maria Nogal, Rui Teixeira

“…In the second stage, the real-time process utilises the optimised model to predict travel times using new data from previously unseen parts of the dataset. …”
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Successive spike times predicted by a stochastic neuronal model with a variable input signal by Giuseppe D'Onofrio, Enrica Pirozzi

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