Changes in Volatile Components during the Refining Process of Crude Fish Oil from Snakehead Fish Viscera by Using GC-IMS and Chemometric Analysis by Liping YUAN, Bizhen ZHONG, Mingming HU, Chengwei YU, Bin PENG, Zongcai TU, Jinlin LI

“…The optimum conditions and the changes of volatile flavor compounds were studied in each stage of the refining process for the crude fish oil from snakehead fish viscera. …”
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Nutritive Parameters and Antioxidant Quality of Minimally Processed "Cime di Rapa" ( Brassica rapa subsp. sylvestris ) Vary as Influenced by Genotype and Storage Time by Donato Giannino, Giulio Testone, Chiara Nicolodi, Lucia Giorgetti, Lorenza Bellani, Maria Gonnella, Marco Ciardi, Paolo Cappuccio, Stefano Moscatello, Alberto Battistelli, Vincenzo Longo

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From literature to biodiversity data: mining arthropod organismal traits with machine learning by Joseph Cornelius, Harald Detering, Oscar Lithgow-Serrano, Donat Agosti, Fabio Rinaldi, Robert Waterhouse

“…Here, we explore the potential of these methods to annotate and extract organismal trait data for the most diverse animal group on Earth, the arthropods. …”
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How Much Rationality Is Needed for Decision Making? by Annette Grathoff

“…In strongly complex networks, the exploitation of new possibilities most probably needs rational decision-makers who can see the use of new possibilities for them. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Radiomic features were extracted from brain MR images following image processing steps. Various feature selection algorithms were applied to identify the most relevant features, which were then used to train and evaluate machine learning classification models. …”
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Analyzing Discourses in Portuguese Word Embeddings: A Case of Gender Bias Outside the English-Speaking World by Fernanda Tiemi de Souza Taso, Valéria Quadros dos Reis, Fábio Viduani Martinez

“…Notably, among the 100 most frequent words, 89 exhibited a stronger association with masculine terms. …”
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Use me wisely: AI-driven assessment for LLM prompting skills development by Dimitri Ognibene, Gregor Donabauer, Emily Theophilou, Cansu Koyuturk, Mona Yavari, Sathya Bursic, Alessia Telari, Alessia Testa, Raffaele Boiano, Davide Taibi, Davinia Hernandez-Leo, Udo Kruschwitz and Martin Ruskov

“…We find a strong impact of the LLMs on our feature list. One of the most recent models, GPT-4, shows promising performance on most of the features. …”
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Explanation of the use of ozonated stem cells of cord blood by A. В. Kebkalo

“…Taking into consider the results of the performed experimental studies, we came to the conclusion that the most indicative results are present in the group of animals using ozonated stem cells. 2. …”
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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Aims: In this research, we used supervised machine learning techniques in order to discover the most important syntactic and lexical features affecting the reading comprehension of English language learners. …”
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Uniform Modeling of Observed Kilonovae: Implications for Diversity and the Progenitors of Merger-driven Long Gamma-Ray Bursts by J. C. Rastinejad, W. Fong, C. D. Kilpatrick, M. Nicholl, B. D. Metzger

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Improvement of persistent impairments in executive functions and attention following electroconvulsive therapy in a case control longitudinal follow up study by Åsa Hammar, Eivind Haga Ronold, Malene Alden Spurkeland, Rita Ueland, Ute Kessler, Ketil J. Oedegaard, Leif Oltedal

“…Results The patient group showed significantly worse performance on most tests compared to healthy controls pre-treatment, and no short- or long-term worsening of EF and attention following ECT was found. …”
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Sensory profiling of traditional Sorghum porridge (Aceda): advancing nutritious and culturally accepted biofortified products by Manhal Gobara Hamid, Manhal Gobara Hamid, Claudia Böhme, Khitma Abdalha Mustafa, Khitma Abdalha Mustafa, Yousif M. A. Idris, Mohammed Hamad, Faraz Muneer, Mahbubjon Rahmatov, Mohammed Elsafy, Tilal Abdelhalim

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Paris dans les récits de voyage d’écrivains arabes : repérage, analyse sémantique et cartographie de toponymes by Motasem Alrahabi, Carmen Brando, Muhamed AlKhalil, Joseph Dichy

“…This research sits at the crossroads of Natural Language Processing, Literary Studies, and Digital Humanities. …”
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The analysis of injection molding defects caused by gate vestiges by T. Tabi, A. Suplicz, F. Szabo, N. K. Kovacs, B. Zink, H. Hargitai, J. G. Kovacs

“…Issues of product safety are the most serious problems of an injection molded product due to their risk to human health. …”
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Targeting Shikimate Kinase Pathway of Acinetobacter baumannii: A Structure-Based Computational Approach to Identify Antibacterial Compounds by Aparna Shil, Most. Afrin Akter, Arafin Sultana, Sajal Kumar Halder, Mahbubul Kabir Himel

“…Acinetobacter baumannii (A. baumannii) is an opportunistic bacterium that has developed multidrug resistance (MDR) to most of today’s antibiotics, posing a significant risk to human health. …”
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CRISPR/Cas9-based genetic screen of SCNT-reprogramming resistant genes identifies critical genes for male germ cell development in mice by Most Sumona Akter, Masashi Hada, Daiki Shikata, Gen Watanabe, Atsuo Ogura, Shogo Matoba

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Computer Vision Technologies in Controlling the Electric Drive of Railway Transport by Yaroslav Kyrylenko, Yurij Kutovoj, Tatiana Kunchenko, Oleksandr Nesterenko

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Predicting Sentiments in Spotify Comments: A Comparative Analysis of Machine Learning Models by Filipe Augusto Felix de Queiroz, Igor Barbosa Negreiros, Giovana de Souza, Débora Cordeiro de Sousa, Sílvio Fernando Alves Xavier Júnior

“…As a result, the assessment supports most of the sentences presented with negative connotations. …”
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Cutting export subsidies, cropping domestic production: input-output analysis of the Swiss dairy sector after abolishment of the ‘Chocolate law’ subsidies by Seyhan KÂHYA, Aleš KUHAR

“…Outside of the cut sectors, these sectors will be challenged the most from this new policy. …”
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Opportunities of machine learning algorithms for education by Olga Ovtšarenko

“…Abstract Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. …”
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