Using AI to Translate and Simplify Spanish Orthopedic Medical Text: Instrument Validation Study by Saman Andalib, Aidin Spina, Bryce Picton, Sean S Solomon, John A Scolaro, Ariana M Nelson

“…A readability analysis and feature analysis were subsequently performed to evaluate text simplification success and the impact of English text features on BLEU scores. …”
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Video Instance Segmentation Through Hierarchical Offset Compensation and Temporal Memory Update for UAV Aerial Images by Ying Huang, Yinhui Zhang, Zifen He, Yunnan Deng

“…Despite the pivotal role of unmanned aerial vehicles (UAVs) in intelligent inspection tasks, existing video instance segmentation methods struggle with irregular deforming targets, leading to inconsistent segmentation results due to ineffective feature offset capture and temporal correlation modeling. …”
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Crop yield prediction using machine learning: An extensive and systematic literature review by Sarowar Morshed Shawon, Falguny Barua Ema, Asura Khanom Mahi, Fahima Lokman Niha, H.T. Zubair

“…An additional search has been performed in order to identify some hybrid ML-based models. …”
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Free radical oxidation: a pathophysiologist’s view by L. I. Kolesnikova, M. A. Darenskaya, S. I. Kolesnikov

“…The “specificity” of features of nonspecific process of free radical oxidation in different pathologic situations was postulated. …”
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Evidence for GeV Gamma-Ray Emission from Intense GRB 240529A During the Afterglow’s Shallow Decay Phase by Kenta Terauchi, Tomohiko Oka, Katsuaki Asano

“…X-ray light curves of gamma-ray burst (GRB) afterglows exhibit various features, with the shallow decay phase being particularly puzzling. …”
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Search for antibacterial activity in a number of new S-derivatives (1,2,4-triazole-3(2H)-yl)methyl)thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko

“…In silico studies were performed using regression and classification QSAR models. …”
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Surveying monitoring of mine workings in the conditions of development of nearby coal seams, as an important element of ensuring occupational safety and protection of miners by V.О. Nazarenko, H.V. Brui, O.S. Kuchin, A.O. Kryvoruchko, S.S. Iskov

“…The analysis of conformity of modeling results with surveyor measurements of mine workings convergence and analysis of actual mine workings condition is performed.…”
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Study on Title Encoding Methods for e-Commerce Downstream Tasks by Cristian Cardellino, Rafael Carrascosa

“…The present work explores the performance of different models to address different downstream tasks that are present in our marketplace. …”
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AI-driven optimisation of metal alloys for space applications by Luke Rickard, Adamantios Bampoulas, Meena Laad, Eleni Mangina

“…The research integrates data analysis, feature selection, and machine learning (ML) models to predict critical alloy properties for space environments, including Young’s modulus, yield strength, tensile strength, specific heat, and the coefficient of thermal expansion. …”
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Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders by Hui Yang, Walid Aydi, Nisreen Innab, Mohamed E. Ghoneim, Massimiliano Ferrara

“…In the third phase, cervical cancer images are segmented using the Seg-UNet model, which is forwarded to the feature extraction phase that employs denoising autoencoders. …”
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Enhancing deadlift training through an artificial intelligence-driven personal coaching system using skeletal analysis by Bolganay Kaldarova, Aigerim Toktarova, Rustam Abdrakhmanov

“…Utilizing Local Histograms of Oriented Gradients (LHOG) and Local Histograms of Optical Flow (LHOF) methods, the system performs comprehensive feature extraction, assessing both static and dynamic aspects of the exercise. …”
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A Novel Shape Classification Approach Based on Branch Length Similarity Entropy by Sang-Hee Lee, Cheol-Min Park

“…This study presents a novel feature vector for shape clustering based on the Branch Length Similarity (BLS) entropy profile, which is invariant to translation, rotation, and scaling, enhancing its effectiveness for shape analysis. …”
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Fast jet tagging with MLP-Mixers on FPGAs by Chang Sun, Jennifer Ngadiuba, Maurizio Pierini, Maria Spiropulu

“…We explore the innovative use of MLP-Mixer models for real-time jet tagging and establish their feasibility on resource-constrained hardware like FPGAs. …”
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Association between the lactate dehydrogenase-to-albumin ratio and 28-day mortality in septic patients with malignancies: analysis of the MIMIC-IV database by Yongshi Shen, Kangni Lin, Liuxin Yang, Peng Zheng, Wei Zhang, Jinsen Weng, Yong Ye

“…Subgroup analyses and feature importance evaluations were performed to validate robustness. …”
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Machine learning analysis of breast cancer treatment protocols and cycle counts: A case study at Mohammed vi hospital, Morocco by Houda AIT BRAHIM, Salah EL-HADAJ, Abdelmoutalib METRANE

“…Furthermore, feature importance analysis was performed to highlight the importance of variables, and show the positive influence of some variables on the models.Finally, this study can help doctors quickly make decisions about the treatment needed for each patient and also gives an idea of which molecules should exist in the hospital stock based on the patient's treatment cycle predicted.…”
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Expression of amyotrophic lateral sclerosis associated protein disulfide isomerase A3 D217N variant recapitulates early morphological alterations at the neuromuscular junction by Martin Sepulveda, Francisca MartinezTraub, Patricia Ojeda, Jessica Mella, Jorge Ojeda, Cristina Pinto, Rodrigo Diaz, Pablo Rozas, Claudia Sepulveda, Bredford Kerr, Vania Morales, Mirva Saaranen, Lloyd Ruddock, Danilo B. Medinas, Juan Pablo Henriquez, Claudio Hetz

“…Here, we generated a transgenic mouse line overexpressing the ALS-linked PDIA3 variant D217N and performed a comprehensive characterization of ALS-like features. …”
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HEARING CORRECTION METHOD BASED ON PSYCHOACOUSTICALLY MOTIVATED FREQUENCY TRANSPOSITION IN A SPEECH SIGNAL by M. I. Porhun, M. I. Vashkevich

“…The experiment involved 10 people who were given to listen to the recordings passed through the hearing loss model, as well as recordings passed through the hearing loss model with subsequent correction (using proposed method). …”
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Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty by Qinghua Wei, Yuanhao Wang, Guo Yang, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong-Yi Zhang

“…The feature-point-start forward method in multi-objective optimization adopts two Gaussian process regression (GPR) models, one for strength and one for elongation, and their outputs build up the acquisition-function-modified objective space of strength and elongation. …”
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Graph Isomorphism and Hybrid-Order Residual Gated Graph Neural Network for Session-Based Recommendation by WANG Yonggui, YU Qi

“…Finally, contrastive learning is applied to comparing the user􀆳s long-term interest representations without denoising and after denoising, alleviating the problems of data sparsity and noise interference. Experiments are performed on Tmall and RetailRocket datasets. Compared with baseline model, GIHR-GNN increases at least 3.26% and 10.33% in P@20 and MRR@20 on Tmall, 0.55% and 2.57% in P@20 and MRR@20 on RetailRocket, which proves the effectiveness of GIHR-GNN.…”
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Network Attack Detection for Business Safety by Fadia Abduljabbar Saeed, Ghalia Nassreddine, Joumana Younis

“…Two Machine learning models were used: Support vector machine and Artificial neural network. …”
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