Editorial: Machine learning and predictive microbiology: enhancing food safety models by Raúl Avila-Sosa, Guadalupe Virginia Nevárez-Moorillón

Subjects: “…predictive microbiology…”
Get full text

Estimating the share of ultra-processed foods in Brazilian municipalities by Leandro Teixeira Cacau, Maria Helena D’Aquino Benicio, Renata Bertazzi Levy, Maria Laura da Costa Louzada

Subjects: “…Ultra-Processed Foods…”
Get full text

A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes by Cosmina-Mihaela Rosca, Adrian Stancu

“…Thus, this paper identifies gaps in the current research, discusses ML algorithms in the context of optimizing wind energy production processes, and identifies future directions for increasing the efficiency of wind turbines through integrated predictive methods.…”
Get full text

Preparation of Vanadium (3.5⁺) Electrolyte by Hydrothermal Reduction Process Using Citric Acid for Vanadium Redox Flow Battery by Ung-Il Kang

“…The resulting solution was subsequently subjected to a hydrothermal reduction reaction (HRR) furnace at 150 °C for 24 h to generate vanadium (3.5⁺). …”
Get full text

Optimization of chromium (VI) reduction in aqueous solution using magnetic Fe3O4 sludge resulting from electrocoagulation process. by Pınar Belibagli, Zelal Isik, Nadir Dizge, Deepanraj Balakrishnan, Abdul Rahman Afzal, Muhammad Akram

“…The reuse of electro-coagulated sludge as an adsorbent for Cr(VI) ion reduction was investigated in this study. Electro-coagulated sludge was obtained during the removal of citric acid wastewater by the electrocoagulation process. …”
Get full text

Elevating equity: advancing diversity and inclusivity through trialing bias reduction tools in the general internal medicine program resident application process by Dominic Mudiayi, Farha Shariff, Lindsay Bridgland, Pamela Mathura, Jennifer Ringrose

“…This study examines the trial of bias reduction tools to increase interviewers’ awareness of implicit biases. …”
Get full text

Relative vacuum reduction innovative processes applied in primary magnesium production—Comprehensive analysis of thermodynamics, resource, energy flow, and carbon emission by Xiaolong Li, Tingan Zhang, Yan Liu, Junhua Guo, Jingzhong Xu, Yuanyuan Liang

Subjects: Get full text

Lithiophilic 3D-Si/SiOx host for dendrite free lithium metal battery via simple magnesiothermic reduction process by Asif Raza, Jae-Yeon Bang, Hyo-Yeong Kim, Jeong-Hee Choi, Hae-Young Choi, Sang-Min Lee

“…Herein, we synthesize a lithiophilic 3D-Si/SiOx host for LMBs via a simple magnesiothermic reduction process (MRP). The 3D porous SiOx structure provides a large specific surface area, which reduces local current density and offers ample space for Li deposition. …”
Get full text

Improving Energy and Economic Efficiency in Dimethyl Ether Production through Heat Duty Reduction in a Two-Stage Methanol Dehydration Process by Faza Ryviansyah Nurdin, Hasnaa Annisafitri, Jonathan Hasian, Risyad Prasetya Muzaki, Shafa Noviandrea Towidjojo

“…This study investigates the optimization of a two-step dimethyl ether (DME) production process via methanol dehydration, with a focus on enhancing thermal and economic performance through strategic heat integration. …”
Get full text

Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

“…This approach aims to improve the classification accuracy of EMG signals while substantially reducing computational costs, offering valuable implications for all EMG-related processes on such data. The proposed methodology involves extracting time and frequency domain features from twelve channels of EMG signals, followed by dimensionality reduction using techniques such as PCA, LDA, PPCA, Lasso and GPLVM, and classification using an ANN. …”
Get full text

Low-carbon strategy for wastewater treatment plants based on cost reduction and efficiency improvement by CHEN Juanjuan, LI Weibin, HUANG Ou, CHAO Weixiang, ZHANG Diandian, REN Nanqi, LU Lu

Get full text

Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom by Shin Miyakawa, Hiraku Fuse, Kenji Yasue, Norikazu Koori, Masato Takahashi, Hiroki Nosaka, Shunsuke Moriya, Fumihiro Tomita, Tatsuya Fujisaki

Get full text

Advancements in Real-Time Monitoring and Control for Enhanced Process Efficiency by Ujban Hussain, Samiksha Sandeep Tammewar, Harsh Pathrabe

Subjects: Get full text

RNA secondary structure prediction by conducting multi-class classifications by Jiyuan Yang, Kengo Sato, Martin Loza, Sung-Joon Park, Kenta Nakai

“…Several deep learning methods have been developed for predicting RNA secondary structures. However, they commonly adopt post-processing steps to adjust the model output to produce valid predictions, which are complicated and could limit the performance. …”
Get full text

Effects of Feed Rates on Deformation Forces and Thickness Distribution in an Ultrasonic-Assisted Incremental Sheet Forming Process by Ky-Thanh Ho, Thi-Luong Le, Nguyen-Thuan, Ngoc-Tuan La

“…The effect of feed rates on the reduction in component force was experimentally investigated, as well as the distribution of wall thickness after forming process with and without ultrasonic vibration. …”
Get full text

AI model for predicting asthma prognosis in children by Elham Sagheb, MS, Chung-Il Wi, MD, Katherine S. King, MS, Bhavani Singh Agnikula Kshatriya, MS, Euijung Ryu, PhD, Hongfang Liu, PhD, Miguel A. Park, MD, Hee Yun Seol, MD, Shauna M. Overgaard, PhD, Deepak K. Sharma, PhD, Young J. Juhn, MD, Sunghwan Sohn, PhD

“…The prediction model at age 12 showed the highest performance. …”
Get full text

ARTIFICIAL INTELLIGENCE TECHNIQUES APPLIED TO PREDICT TEAMS POSITION OF THE BRAZILIAN FOOTBALL CHAMPIONSHIP by Mariana Kleina, Mateus Noronha dos Santos, Tiago Noronha dos Santos, Marcos Augusto Mendes Marques, Wiliam de Assis Silva

Subjects: Get full text

Prediction and Analysis of Borosilicate Glass Surface Deformation Induced by Flame Jet by Biling Wang, Yutang Zhai, Xinming Zhang, Xinxin Qi, Weijie Fu

Get full text

Enhancing Manufacturing Processing Stability and Efficiency with Linear-Regression Analysis: Modeling on a Flow-Drill Screw (FDS) Joining Process by Chengxin Zhang, Mario Guzman, Xuzhe Zhao

Subjects: Get full text

A Study on the Relationship between Spore Count and Color Difference Values during the Mildewing Process of Paper Wine Boxes by Ke Li, Junying Ji, Yuheng Jiang, Ruo Liu, Qin Yang, RuiJie Huo, Qianqian Yao, Yubo Dou, Haiyan Song

“…A linear correlation model between the color difference value and spore count was developed using Matlab software to fit the data, providing a method to predict the number of mold spores based on the color difference values of the cardboard.…”
Get full text