Artificial Intelligence Applied to the Analysis of Biblical Scriptures: A Systematic Review by Bruno Cesar Lima, Nizam Omar, Israel Avansi, Leandro Nunes de Castro

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Quinoa (Chenopodium quinoa Willd.): Paving the way towards nutraceuticals and value-added products for sustainable development and nutritional security by Sagar M. Chavan, Abhijit Khadatkar, Muzaffar Hasan, Dilshad Ahmad, Vishal Kumar, N.K. Jain

“…Excellent information about the agronomical, functional, and nutritional qualities of quinoa, research gaps, and technical advancements for its production, pre-processing, and post-processing unit activities is also included in this review. …”
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Augmentation and Classification of Requests in Moroccan Dialect to Improve Quality of Public Service: A Comparative Study of Algorithms by Hajar Zaidani, Rim Koulali, Abderrahim Maizate, Mohamed Ouzzif

“…Finally, we propose a chatbot system architecture for deploying the most efficient classification algorithm. This solution also contains a voice assistant system that can contribute to the social inclusion of illiterate people. …”
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Synchronized Multi-Point UAV-Based Traffic Monitoring for Urban Infrastructure Decision Support by Igor Kabashkin, Alua Kulmurzina, Batyrlan Nadimov, Gulnar Tlepiyeva, Zura Sansyzbayeva, Timur Sultanov

“…The collected data were processed to extract key traffic parameters, such as flow rates, vehicle speeds, and delays, which informed the calibration of a detailed traffic simulation model. …”
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Eye-tracking insights into cognitive strategies, learning styles, and academic outcomes of Turkish medicine students by Hande Argunsah, Levent Altıntaş, Melike Şahiner

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A Python Framework for Crop Yield Estimation Using Sentinel-2 Satellite Data by Konstantinos Ntouros, Konstantinos Papatheodorou, Georgios Gkologkinas, Vasileios Drimzakas-Papadopoulos

“…This study investigates the automation of Sentinel-2 satellite data processing to enhance wheat growth monitoring and provide actionable insights for smallholder farmers. …”
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Fungal flora of fermented grains of Shanxi aged vinegar and Huairen vinegar in early alcohol fermentation based on high-throughput sequencing by YANG Ling, PENG Jiawei, GUO Xukai, DUAN Bin, SHAO Qiang, GUO Rui, WEN Xianjiang, WANG Qi

“…The fungal flora diversity of fermented grains at early alcohol fermentation stage of Shanxi aged vinegar process (S) and Huairen vinegar process (X) was analyzed and compared by high-throughput sequencing technology, and the influences of different brewing processes on the fungal flora in fermented grains were investigated. …”
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Sociological monitoring of the features of work with international students in university environment under digital and cultural changes by M. A. Tanina, V. A. Yudina, O. A. Zyablikova

“…In order to increase Russian universities attractiveness for foreign students, it is necessary to create the most favorable conditions for studying and living. …”
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High-Speed Indoor Navigation System based on Visible Light and Mobile Phone by Junbin Fang, Zhen Yang, Shun Long, Zhuoqi Wu, Xiaomeng Zhao, Funian Liang, Zoe Lin Jiang, Zhe Chen

“…However, due to the high computational cost of image processing, most existing VLC-based systems fail to deliver satisfactory performance in terms of positioning speed and accuracy, both of which are crucial for the performance of indoor navigation. …”
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The effect of pre-sowing treatment biological preparations of common bean seeds for their sowing qualities by S. V. Zharkova, A. S. Filippova

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Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks by Georgios Lekkas, Eleni Vrochidou, George A. Papakostas

“…<b>Conclusions:</b> This superior performance is most likely related to the methods’ capacity to capture time–frequency information and nonlinear dynamics inherent in time-dependent signals such as ECGs and EEGs. …”
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Reliability and Quality of Complex Systems by K.V. Bukhenskiy, T.L. Lvova, V.V. Mironov

“…Based on the data on the knowledge index, the most knowledgeable students are determined, the core, tail and basement of knowledge in the university are created, and based on them, the scientometric M-index of university knowledge is calculated – a qualitative analogue of the author's generalization of the "statistical" Hirsch h-index. …”

A Systematic Review of the Use of Electronic Nose and Tongue Technologies for Detecting Food Contaminants by Muhammad Zia Ul Haq, Baljit Singh, Xolile Fuku, Ahmed Barhoum, Furong Tian

“…The findings indicate that principal component analysis (PCA) was the most widely used technique, while more articles were published in 2021. …”
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Olfactory dysfunction and altered cortical excitability in the mouse model of Fragile X Syndrome by Felipe Arancibia, Marcelo Rojas, Diego Becerra, Rocío Fuenzalida, Christian Cea-Del Rio, Jorge Mpodozis, Magdalena Sanhueza, Alexia Nunez-Parra

“…Abstract Fragile X Syndrome (FXS) is the most common monogenetic cause of autism and inherited intellectual disability. …”
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Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques by Juswin Sajan John, Boppuru Rudra Prathap, Gyanesh Gupta, Jaivanth Melanaturu

“…This study introduces a novel approach to effectively characterize mental stress through a multi-label, multi-class classification framework through natural language processing techniques. Building on existing literature, discussions with psychologists and other mental health practitioners, we developed a taxonomy of 27 distinctive markers spread across 4 label categories; aiming to create a preliminary screening tool leveraging textual data.The core objective is to identify the most suitable model for this complex task, encompassing comprehensive evaluation of various machine learning and deep learning algorithms. we experimented with support vector machines (SVM), random forest (RF) and long short-term memory (LSTM) algorithms incorporating various feature combinations involving Term Frequency-Inverse Document Frequency (TF-IDF) and Latent Dirichlet Allocation (LDA). …”
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Text Mining Strategy Identifies Gene Networks Under Control of miR‐21 in Breast Cancer Development by Hong Ye, Yuyu Wu, Richard Tran, Jie Wang

“…Results This analysis revealed miR‐21 as the most frequently studied miRNA in breast cancer research, with a significant difference compared to other miRNAs. …”
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A Fuzzy Logic Framework for Text-Based Incident Prioritization: Mathematical Modeling and Case Study Evaluation by Arturo Peralta, José A. Olivas, Pedro Navarro-Illana

“…This paper proposes a fuzzy logic-based framework for incident categorization and prioritization, integrating natural language processing (NLP) with a formal system of fuzzy inference. …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…Today, deep learning is arguably the most powerful method for predicting RSA and other structural features of proteins. …”
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Transcutaneous vagus nerve stimulation boosts accuracy during perceptual decision-making by Shiyong Su, Thomas Vanvoorden, Pierre Le Denmat, Alexandre Zénon, Clara Braconnier, Julie Duque

“…Both accuracy and drift-rate improvements were most prominent following errors and especially pronounced in participants who exhibited post-error declines in these measures under SHAM. …”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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