Dragon fruit (Hylocereus spp.) as a potential crop for nutraceutical properties, livelihood enhancement and climate change mitigation by Mangalambika Balaji, Utpal Das, Rahul Vashishth

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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces. by Gursimran Singh, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

“…PyNoetic also includes a rich array of analytical tools such as machine learning models, brain-connectivity indices, systematic testing functionalities via simulation, and evaluation methods of novel paradigms. …”
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Early childhood development in México before and after the Covid-19 pandemic: national results from 2018 to 2021 by Francisco-Javier Prado-Galbarro, Ana-Estela Gamiño-Arroyo, Jasmine-Rena Baldwin, Carlos Sanchez-Piedra

“…The factors associated with ECD delay in 2018 were socioeconomic status, access to at least three children’s books, domestic violence, and severe functioning difficulties, and the associated factors in 2021 were sex, region, learning support, access to at least three children’s books, early education attendance, being an adolescent mother, severe functioning difficulties, and the child’s age. …”
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Addressing output ripples in low-power CMOS-based multistage DC-DC boost converters for self-powered electrochemical sensors applications by Ahmat Abdel Wahid, Sameh O. Abdellatif

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Neurodevelopmental effects of perinatal exposure to cannabis on progeny: A narrative review by Chidimma Doris Azubuike, Oliver Grundmann, Amie J. Goodin

“…Findings were categorized into cognitive measures (memory, attention, and executive functioning), and diagnosis of mental health disorders (including: autism spectrum disorder [ASD], Attention deficit and hyperactivity disorder [ADHD], depression, anxiety, learning delays, and school-related performance). ` Results: Findings on effects on cognition, autism, and learning are not consistent; however, compared to children who were unexposed, prenatally exposed children consistently have higher ADHD risk, and no significant association with anxiety and depression. …”
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Research on Seismic Signal Denoising Model Based on DnCNN Network by Li Duan, Jianxian Cai, Li Wang, Yan Shi

“…The DnCNN framework, which integrates batch normalization with residual learning, is adept at swiftly identifying and eliminating noise from seismic signals through its residual learning capabilities. …”
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Defective Intracortical Inhibition as a Marker of Impaired Neural Compensation in Amputees Undergoing Rehabilitation by Guilherme J. M. Lacerda, Lucas Camargo, Fernanda M. Q. Silva, Marta Imamura, Linamara R. Battistella, Felipe Fregni

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A novel fault diagnosis method for gearbox based on RVMD and TELM with composite chaotic grey wolf optimizer by Xuebin Huang, Anfeng Xu, Hongbing Liu, Bingcheng Ye

“…Abstract Fault diagnosis for gearbox by robust variational mode decomposition (RVMD) and twin extreme learning machine (TELM) with composite chaotic grey wolf optimizer (CCGWO) is proposed in this study. …”
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Global dynamics and time-optimal control studies for additional food provided holling type-III mutually interfering prey-predator systems with applications to pest management by D. Bhanu Prakash, D. K. K. Vamsi

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The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions by Jinzhe Zeng, Timothy J. Giese, Andreas W. Götz, Darrin M. York

“…Abstract The development of universal machine learning potentials (MLP) for small organic and drug-like molecules requires large, accurate datasets that span diverse chemical spaces. …”
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Using a Multi-User Virtual Environment to Conduct Veterinary Disaster Preparedness Training by Kyle Johnson, Noberto Espitia, Debra Zoran

“…This communication provides a thorough review of a clinical rotation, as part of a professional veterinary curriculum, that uses a combination of classroom and experiential learning via an MUVE, Second Life^®. This rotation has provided more than 1800 senior veterinary students at a veterinary school in the United States with experiential learning opportunities focused on veterinary disaster preparedness, planning, and response training. …”
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Digitalization of Gayo Language: Development of Android-Based Interactive Dictionary Application by Defri Salwan, Desvina Yulisda, Rizky Putra Fhonna

“…This study aims to develop an Android-based Gayo Language Dictionary application as an interactive learning medium that is easily accessible to the public. …”
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Are Wearable ECG Devices Ready for Hospital at Home Application? by Jorge Medina-Avelino, Ricardo Silva-Bustillos, Juan A. Holgado-Terriza

“…Recent advancements in machine learning and deep learning for cardiac health monitoring are highlighted, alongside persistent challenges, particularly concerning signal quality and the need for further validation for widespread adoption in older adults and Hospital at Home settings. …”
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Space Target Recognition of Radar Cross-Section Sequence Based on Transformer by Meng Xie, Weiwei Wu, Chenchen Fu, Sujunjie Sun

“…We introduce a novel period estimation method based on combination functions and analysis of variance (ANOVA), which effectively suppresses noise and captures periodic characteristics with greater accuracy. …”
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Kompetencje nauczycieli i wykładowców w procesie edukacji zdalnej – perspektywa studentów by Maria Gagacka, Elżbieta Sałata

“…The current pandemic situation has forced a change in the functioning of educational institutions as well. E-learning, which until recently was used as a supplementary form of education, has become the basic form used at every level of education: from primary school to teaching in higher education. …”
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Exploring the factors influencing continuance intention to use simulation software in mechatronic engineering by integrating the TAM and TTF model by Jiaxing Li, Wenhong Liang

“…These findings provide valuable insights into the design and implementation of simulation software in mechatronics engineering education, emphasizing the importance of aligning software functions with students’ learning tasks and goals.…”
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Quality Pedagogical Practice in Early Childhood Education Institutions Relating to Children at Risk of Social Exclusion by Sandra Antulić Majcen, Maja Drvodelić

“…Approaches to the quality monitoring and quality assurance of early childhood education and care, as well as its conceptualisation and operationalisation, have changed and developed over the decades in line with contemporary understandings of child development and learning, and in accordance with changes in the purpose and functions of early childhood education and care. …”
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Automated COVID-19 emergency response using modern technologies by Ibrahim Haleem Khan, Mohd Javaid

“…Here, in this paper, the capabilities of new technologies such as unmanned aerial vehicles, data analysis, three-dimensional (3D) printing, machine learning, and artificial intelligence are used to develop a model to the limit of their autonomous functionalities. …”
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GA-Attention-Fuzzy-Stock-Net: An optimized neuro-fuzzy system for stock market price prediction with genetic algorithm and attention mechanism by Burak Gülmez

“…The research investigates the effectiveness of different architectural configurations, including variations in fuzzy layer membership functions (triangular, trapezoidal, Gaussian) and neural network architectures (1D ANN, 2D ANN, 1D LSTM, 2D LSTM). …”
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Recognizing employees' contribution to effectiveness and values: A randomized waitlist-controlled trial of operant-based leadership training. by Martin Grill

“…However, research on leadership training in functional behaviors, such as performance feedback, has yet to demonstrate consistent long-term effectiveness. …”
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