Knowledge and Perception of Eponyms in Chemistry by University Students in Belarus and the United States by U. K. Slabin

“…It was found that the determinant factor for good knowledge and reflective positive attitude towards eponyms is the student’s motivation for learning. This motivation, in turn, is determined by the chosen major. …”
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Utilisation des systèmes de test ALDM dans le cadre de l'étude des réseaux sociaux du babouin de Guinée by Julie Gullstrand, Joël Fagot, Nicolas Claldière

“…Le dispositif ALDM (Automated Learning Device for Monkeys) est un réseau de systèmes de conditionnement opérant, mis en libre accès, à la disposition d'un groupe de babouins de Guinée ("Papio papio") hébergé sur la plateforme Cognition Comparée du Primate (CCDP- site de la station de primatologie de Rousset). …”
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Reverse osmosis for the treatment of well water and wastewater for reuse by A. Mélendez- Rivera, J. Musa-Wasil, D. Almestica-Martinez, K. Malave-Llamas

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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…The respondents focused in the labour sphere on competitive strategy more often recognise insufficiency of knowledge and competencies received by them during the learning process in educational institution. The direct consequence and the indicator of high level of competitiveness is high income level of young specialists. …”
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Automated Generation of Multiple-Choice Questions for Computer Science Education Using Conditional Generative Adversarial Networks by Muhammad Shoaib, Ghassan Husnain, Nasir Sayed, Yazeed Yasin Ghadi, Masoud Alajmi, Ayman Qahmash

“…This interdisciplinary work represents a significant advancement in computer science education, providing educators with a powerful tool to enhance student engagement and learning outcomes.…”
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Novel Fusion Technique for High-Performance Automated Crop Edge Detection in Smart Agriculture by F. Martinez, James B. Romaine, P. Johnson, A. Cardona Ruiz, Pablo Millan Gata

“…To address this, a novel technique has been developed to automatically detect the vegetative area of lettuces, optimising time and eliminating subjectivity during crop inspections. The proposed deep learning model integrates the YOLOv10 object detector, the K-means classifier, and a segmentation method known as superpixel. …”
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A preoperative predictive model based on multi-modal features to predict pathological complete response after neoadjuvant chemoimmunotherapy in esophageal cancer patients by Yana Qi, Yanran Hu, Chengting Lin, Ge Song, Liting Shi, Hui Zhu

“…Radiomics features were extracted from contrast-enhanced CT images using PyrRadiomics, while pathomics features were derived from whole-slide images (WSIs) of pathological specimens using a fine-tuned deep learning model (ResNet-50). After feature selection, three single-modality prediction models and a combined multi-modality model integrating two radiomics features, 11 pathomics features, and two clinicopathological features were constructed using the support vector machine (SVM) algorithm. …”
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A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella, Fabrizio Capoccioni

“…The results demonstrate that the approach proposed can identify, characterize, and geolocate sea- and land-based aquaculture structures without performing any post-processing procedure, by directly applying customized deep learning and artificial intelligence algorithms.…”
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An ecosystem approach to the evaluation and impact analysis of heterogeneous preventive and/or early interventions projects for veterans and first responders in seven countries by S. Lukersmith, L. Salvador-Carulla, C. Woods, T. Niyonsenga, M.R. Gutierrez-Colosia, I. Mohanty, C.R. Garcia-Alonso, D. Diaz-Milanes, J.A. Salinas-Perez, R. Davey, A. Aryani

“…Our ecosystem approach and novel evaluation methodology will reduce the uncertainty around real world implementation, provide key learnings for project stakeholders and more broadly implementation researchers.…”
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Co-administration of coenzyme Q10 and curcumin mitigates cognitive deficits and exerts neuroprotective effects in aluminum chloride-induced Alzheimer's disease in aged mice by Nida Rasheed, Hafiza Khushbakht Hussain, Zohabia Rehman, Azka Sabir, Waseem Ashraf, Tanveer Ahmad, Faleh Alqahtani, Imran Imran

“…Our outcomes revealed that AlCl3 exposure significantly reduced spatial learning and memory. In contrast, CoQ10 and curcumin combinatorial regime markedly mitigated cognitive deficits Vs. individual high-dose in AlCl3-treated animals as demonstrated by their improved performance in neurobehavioral tests such as the Y-maze, novel object recognition, passive avoidance and Morris-water maze test. …”
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Universal conditional networks (UniCoN) for multi-age embryonic cartilage segmentation with Sparsely annotated data by Nishchal Sapkota, Yejia Zhang, Zihao Zhao, Maria Jose Gomez, Yuhan Hsi, Jordan A. Wilson, Kazuhiko Kawasaki, Greg Holmes, Meng Wu, Ethylin Wang Jabs, Joan T. Richtsmeier, Susan M. Motch Perrine, Danny Z. Chen

“…Tackling this segmentation task with deep learning (DL) methods is laborious due to the big burden of manual image annotation, expensive due to the high acquisition costs of 3D micro-CT images, and difficult due to embryonic cartilage’s complex and rapidly changing shapes. …”
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Decision support systems for waste-to-energy technologies: A systematic literature review of methods and future directions for sustainable implementation in Ghana by Theophilus Frimpong Adu, Lena Dzifa Mensah, Mizpah Ama Dziedzorm Rockson, Francis Kemausuor

“…Future research directions identified by this study include the development of Ghana-specific DSS models, integration of real-time data collection methodologies, creation of user-friendly interfaces for local decision-makers, and exploration of emerging technologies such as blockchain and IoT or Machine learning (ML) for enhancing DSS in WtE management.…”
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Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communicatio... by Drashko Nakikj, David Kreda, Karan Luthria, Nils Gehlenborg

“…By observing how patients used features to select records and assemble them into collections, our goal was to learn about their preferred mechanisms to complete these tasks and the challenges they would face in the wild. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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Data-driven modeling of open circuit voltage hysteresis for LiFePO4 batteries with conditional generative adversarial network by Lisen Yan, Jun Peng, Zeyu Zhu, Heng Li, Zhiwu Huang, Dirk Uwe Sauer, Weihan Li

“…This paper proposes a data-driven approach with adversarial learning to model hysteresis under diverse conditions, addressing the intricate dependencies on SOC, temperature, and battery aging. …”
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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…For a symmetric cryptography scheme, this study proposed a key generator combining a chaotic map and Bell inequality and generating unordered numbers and unrepeated 256 secret keys in the key space. Then, a machine learning - based model was employed to train the encryptor and decryptor for both biosignals and image infosecurity. …”
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Evaluation of Phytochemical, Antioxidant, and Memory-Enhancing Activity of Garuga pinnata Roxb. Bark and Bryophyllum pinnatum (Lam) Oken. Leaves by Ravin Bhandari, Sabina Gyawali, Nisha Aryal, Devika Gaire, Kalpana Paudyal, Abaru Panta, Pooja Panth, Dirgha Raj Joshi, Rabindra Kumar Rokaya, Pramod Aryal, Jitendra Pandey

“…DPPH assay method and the Folin–Ciocalteu method were employed to determine antioxidant potency and total phenol amount, respectively. 400 mg/kg of the methanolic B. pinnatum bark extract significantly improved memory and learning of mice with transfer latency (TL) of 32.75 s, which is comparable to that of standard Piracetam (21.78 s) and Shankhpushpi (27.83 s). …”
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Association between the subclinical level of problematic internet use and habenula volume: a look at mediation effect of neuroticism by Toshiya Murai, Hironobu Fujiwara, Qi Dai, Halwa Zakia, Yusuke Kyuragi, Naoya Oishi, Yuzuki Ishikawa, Lichang Yao, Morio Aki

“…Hb segmentation was performed using a deep learning technique. The Internet Addiction Test (IAT) and the NEO Five-Factor Inventory were used to assess the PIU level and personality, respectively. …”
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Cognitive impairment and psychopathology in out-of-hospital cardiac arrest survivors in Denmark: The REVIVAL cohort study protocol by Jacob Eifer Moller, Christian Hassager, Selina Kikkenborg Berg, Ola Ekholm, Trine Bernholdt Rasmussen, Mette Kirstine Wagner, Sophia Armand, Patrick MacDonald Fisher, Gitte Moos Knudsen, Dea Siggaard Stenbæk

“…At 3-month follow-up, the primary study outcomes for 200 survivors include the Danish Affective Verbal Learning Test-26 (VAMT-26), Delis-Kaplan Executive Function System tests (trail making, colour-word interference, word and design fluency), Rey’s Complex Figure and Letter-number sequencing subtest of Wechsler Adult Intelligence Scale-IV, HADS and IES-R. …”
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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…These advances position GLOBE citizen scientist data for discovery and use in environmental and health research, as well as by machine learning scientists working in the general field of GeoAI.…”
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