Deep Learning-Based Differentiation of Vertebral Body Lesions on Magnetic Resonance Imaging by Hüseyin Er, Murat Tören, Berkutay Asan, Esat Kaba, Mehmet Beyazal

“…Following image standardization and data augmentation, a total of 4179 images were generated. The dataset was randomly split into training (80%) and validation (20%) subsets. …”
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Simulation of Photovoltaic Power System for Rural Electrification in Myanmar by A. V. Bobyl, G. A. Konoplev, H. H. Lin, A. F. Erk

“…The problem is most obvious in rural areas (more than 61 percent of the population) where grid extension is not justified economically whereas the cost of electricity produced by autonomous diesel generators is extremely high. (Research purpose) The purpose of this research is the evaluation of economic and technical feasibility of small off-grid (standalone) photovoltaic (PV only) and hybrid photovoltaic-diesel (PV-diesel) power generation systems providing rural household electricity consumption in Myanmar. …”
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Equivalence of Informations Characterizes Bregman Divergences by Philip S. Chodrow

“…The first of these is the Jensen gap information, which measures the difference between the mean value of a strictly convex function evaluated on a weighted set of vectors and the value of that function evaluated at the centroid of that collection. …”
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Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems by Roilhi F. Ibarra-Hernández, Francisco R. Castillo-Soria, Carlos A. Gutiérrez, José Alberto Del-Puerto-Flores, Jesus Acosta-Elias, Viktor I. Rodriguez-Abdala, Leonardo Palacios-Luengas

“…Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. In MIMO communication systems, neural networks can provide efficient and innovative solutions. …”
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A randomised trial comparing usual versus strict home blood pressure control in elderly patients with hypertension: protocol and initial progress by Dong-Yan Zhang, Yi-Qing Zhang, De-Wei An, Yi-Bang Cheng, Song-Tao Tang, Min Liu, Jue Li, Jan A. Staessen, Ji-Guang Wang, Yan Li

“…Objective The optimal level of home blood pressure (HBP) for the prevention of cardiovascular complications is unknown. …”
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A modified Morris screening protocol for sensitivity analysis and calibration of green roof parameters in SWMM by Lihua Yang, Jie Wang, Songwen Yang, Mingming Wang, Long Li, Tie Chen, Liang Feng

“…In this study, a modified Morris screening method was established and used to evaluate the parameters of the green roof module in the SWMM model. …”
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Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…The novelty of this approach lies in evaluating the IQ across signal-processing stages and optimizing it through data fusion to enhance rotor tip position estimation. …”
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Increment of Academic Performance Prediction of At-Risk Student by Dealing With Data Imbalance Problem by Nguyen Giap Cu, Thi Lich Nghiem, Thi Hoai Ngo, Manh Tuong Lam Nguyen, Hong Quan Phung

“…Studies on automatically predicting student learning outcomes often focus on developing and optimizing machine learning algorithms that fit the data captured from different education systems. …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…Modern telescopes generate catalogs of millions of objects with the potential for new scientific discoveries, but this is beyond what can be examined visually. …”
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Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

“…In the training stage, the algorithm was trained using data from 2012 to 2016, and in the testing stage, its performance was evaluated on data from 2016 to 2021. Following, buy and sell signals were generated using the stock-based collaborative filtering algorithm during the same period. …”
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Exploring the influence of ohmic heating on the action of baking powders and pound cake textural properties by Eugenia Ayebea Asamoah, Alain Le-Bail, Anthony Oge, Delphine Queveau, Olivier Rouaud, Patricia Le-Bail

“…Compared to conventional baking, OH-baked cakes were notably different in appearance, eliminating distinct crust formation. …”
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The Effect of Hydrogen Peroxide on Biogas and Methane Produced from Batch Mesophilic Anaerobic Digestion of Spent Coffee Grounds by Siham Sayoud, Kerroum Derbal, Antonio Panico, Ludovico Pontoni, Massimiliano Fabbricino, Francesco Pirozzi, Abderrezzaq Benalia

“…The AD of SCG was conducted over a 46-day period, and the impact of H₂O₂ pretreatment was evaluated using laboratory-scale batch anaerobic reactors. …”
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Mining, validating, and quantifying circular RNA transcriptome from total RNA as a biomarker or target by Tan Ze Wang, Raj Kumar Thapa, Frank Yu, Ayesha Warsi, Kassie Rong, Pious Jose, Tahereh Kashkoulinejad-Kouhi, Phyo Wei Win, Christina A. Castellani, Tina Mele, Xiufen Zheng

“…A circRNA transcriptome has been generated, and four alignment and annotation pipelines have been evaluated. …”
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Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

“…The regression model, which links sample plot AGB with AH and tree count, generated AGB estimates that closely matched the observed AGB values. …”
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Exploring Fracture Energy in Engineered Cementitious Composites: A Comprehensive Review by Muhammad Alamgeer Shams, Naraindas Bheel, Malik Muneeb Abid, Ahmed Saleh Alraeeini, Abdulrazak H. Almaliki, Yakubu Aminu Dodo, Omrane Benjeddou

“…Understanding how critical factors such as fiber volume, aspect ratio, and fiber type can improve or reduce the fracture process is discussed in this review. To optimize the ECC design, different experimental procedures along with their advantages and shortcomings and future testing methods to clearly evaluate the fracture behavior of ECC are discussed as well. …”
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BACAD: AI-based framework for detecting vertical broken access control attacks by Ahmed Anas, Ayman A. Alhelbawy, Salwa El Gamal, Basheer Youssef

“…The learning phase includes BACAD initial configuration and application user roles traffic generation used for AI model training. The AI model at the core of BACAD analyzes web requests and responses utilizing a robust feature extraction, and dynamic hyperparameter tuning to ensure optimal performance across diverse scenarios. …”
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Supply Chain Model for Mini Wind Power Systems in Urban Areas by Isvia Zazueta, Edgar Valenzuela, Alejandro Lambert, José R. Ayala, Rodny Garcia

“…The supply chain is an optimized methodology that includes all necessary activities to bring a product to the final consumer. …”
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Impedance Characterization and Modeling of Gold, Silver, and PEDOT:PSS Ultra-Thin Tattoo Electrodes for Wearable Bioelectronics by Antonello Mascia, Riccardo Collu, Nasreddine Makni, Mattia Concas, Massimo Barbaro, Piero Cosseddu

“…This study presents a comprehensive evaluation and an equivalent circuit modeling of the skin–electrode impedance characteristics of three types of ultra-thin tattoo electrodes, all based on Parylene C nanofilms but with different active materials: Gold, Silver, and PEDOT:PSS. …”
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Thin-slice T2-weighted images and deep-learning-based super-resolution reconstruction: improved preoperative assessment of vascular invasion for pancreatic ductal adenocarcinoma by Xiaoqi Zhou, Yuxin Wu, Yanjin Qin, Chenyu Song, Meng Wang, Huasong Cai, Qiaochu Zhao, Jiawei Liu, Jifei Wang, Zhi Dong, Yanji Luo, Zhenpeng Peng, Shi-Ting Feng

“…A deep-learning network was employed to generate reconstructed super-resolution T2WI (SRT2) in different slice thicknesses (SRT2-3, 3 mm; SRT2-5, ≥ 5 mm). …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The use of machine learning models in pharmaceutical development will contribute to resource conservation and optimization of the composition of the formulation.…”
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