Synaptic Functions of Invertebrate Varicosities: What Molecular Mechanisms Lie Beneath by Carlo Natale Giuseppe Giachello, Pier Giorgio Montarolo, Mirella Ghirardi

“…In particular, the role of invertebrate synapsin in the formation of presynaptic terminals and the cell-to-cell interactions that induce specific structural and functional changes in their respective targets will be analyzed.…”
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Profile of Pattern Generalization Strategies in Functional Thinking of Middle School Students by Anita Adinda, Ammi Thoibah Nst, Sarah Auliyah Nst

“…The contribution of this research is helping students understand the concept of functional material better, increasing students' generalization abilities, developing students' abstract thinking skills and helping teachers in designing learning methods.…”
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Temporal patterns in the complexity of child-directed song lyrics reflect their functions by Pierre Labendzki, Louise Goupil, Sam Wass

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Continuous Head-related Transfer Function Representation Based on Hyperspherical Harmonics by Adam Szwajcowski

“…The developed HSH-based continuous functional model can serve multiple purposes, such as interpolation, compression or parametrization for machine-learning applications.…”
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Functional maps of protein complexes from quantitative genetic interaction data. by Sourav Bandyopadhyay, Ryan Kelley, Nevan J Krogan, Trey Ideker

“…Here, we propose a method for the joint learning of protein complexes and their functional relationships by integration of quantitative genetic interactions and TAP-MS data. …”
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Approximation and Generalization Capacities of Parametrized Quantum Circuits for Functions in Sobolev Spaces by Alberto Manzano, David Dechant, Jordi Tura, Vedran Dunjko

“…In this work we show that PQCs can approximate the space of continuous functions, $p$-integrable functions and the $H^k$ Sobolev spaces under specific distances. …”
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Enhancing neural network classification using fractional-order activation functions by Meshach Kumar, Utkal Mehta, Giansalvo Cirrincione

“…The findings highlight the potential usage of new functions as a valuable tool in deep learning in classification. …”
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Accurate prediction of protein function using statistics-informed graph networks by Yaan J. Jang, Qi-Qi Qin, Si-Yu Huang, Arun T. John Peter, Xue-Ming Ding, Benoît Kornmann

“…Our findings indicate that applying deep learning to evolutionary data can highlight functional sites at the residue level, providing valuable support for interpreting both existing properties and new functionalities of proteins in research and biomedicine.…”
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Nominal groups in deaf and hearing students’ narratives: A functional perspective by Marsandi Manar

“…It is expected that further treatment can be provided to assist deaf students in making meaning of their narratives functionally, for example, by using complex nominal group patterns.…”
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Language and executive function relationships in the real world: insights from deafness by Mario Figueroa, Nicola Botting, Gary Morgan

“…Executive functions (EFs) in both regulatory and meta-cognitive contexts are important for a wide variety of children’s daily activities, including play and learning. …”
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Enhancing Executive Functioning: The Impact of Cognitive Rehabilitation on Cochlear-Implanted Children by Karim Gharashi, Reza Abdi

“… Background and Aim: Executive Functions (EFs) are essential for learning and self-regulation in children. …”
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Neuroscience applied to learning alphabetic principles: new proposals by Leonor Scliar-Cabral

“…in addition, one of the major difficulties is how to teach neurons to dissymmetrize the letter features. neuroscience conclusions from experiments about the readingprocess demonstrate that neurons of the  occipito-temporalventral region of the left hemisphere must be recycled in orderto learn how to recognize the written word.  altogether withthe results obtained on a well succeeded experience run by theprogram Early intervention initiative (Eii) and by an experimentrun in a Florianopolis school, in 2012, they give support to thestrategies to prevent functional illiteracy. …”
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The role of microRNAs in learning and long-term memory by L. N. Grinkevich

“…It describes microRNA biogenesis and the role of miRNAs in the regulation of gene expression, as well as the latest achievements in studying the functional role of microRNAs in learning and in long-term memory formation, depending on the activation or inhibition of their expression. …”
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Learning and forecasting open quantum dynamics with correlated noise by Xinfang Zhang, Zhihao Wu, Gregory A. L. White, Zhongcheng Xiang, Shun Hu, Zhihui Peng, Yong Liu, Dongning Zheng, Xiang Fu, Anqi Huang, Dario Poletti, Kavan Modi, Junjie Wu, Mingtang Deng, Chu Guo

“…Here we propose a physics-inspired supervised machine learning approach to efficiently and accurately predict the functioning of quantum processors in the presence of correlated noise, which only requires data from randomized benchmarking experiments. …”
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Enhancing Sports Team Management Through Machine Learning by Ling Zhang, Yifan An

“…By applying machine learning algorithms and pruning techniques, several classifications were developed to identify the most critical functional attributes of players. …”
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Machine learning for active sites prediction of quinoline derivatives by Jie Sun, Zi-Hao Li, Yi-Fei Yang, Shu-Yu Zhang

“…Machine learning (ML) techniques enable rapid prediction of C-H functionalization, facilitating drug design and synthesis. …”
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MLody—Deep Learning–generated Polarized Synchrotron Coefficients by J. Davelaar

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Global functional atlas of Escherichia coli encompassing previously uncharacterized proteins. by Pingzhao Hu, Sarath Chandra Janga, Mohan Babu, J Javier Díaz-Mejía, Gareth Butland, Wenhong Yang, Oxana Pogoutse, Xinghua Guo, Sadhna Phanse, Peter Wong, Shamanta Chandran, Constantine Christopoulos, Anaies Nazarians-Armavil, Negin Karimi Nasseri, Gabriel Musso, Mehrab Ali, Nazila Nazemof, Veronika Eroukova, Ashkan Golshani, Alberto Paccanaro, Jack F Greenblatt, Gabriel Moreno-Hagelsieb, Andrew Emili

“…To elucidate the orphans' biological roles, we performed an extensive proteomic survey using affinity-tagged E. coli strains and generated comprehensive genomic context inferences to derive a high-confidence compendium for virtually the entire proteome consisting of 5,993 putative physical interactions and 74,776 putative functional associations, most of which are novel. Clustering of the respective probabilistic networks revealed putative orphan membership in discrete multiprotein complexes and functional modules together with annotated gene products, whereas a machine-learning strategy based on network integration implicated the orphans in specific biological processes. …”
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An analysis of mathematics textbook of Indonesian curriculum based on functional thinking framework by Nadya Syifa Utami, Sufyani Prabawanto, Jarnawi Afgani Dahlan

“…Functional thinking (FT) is individual’s cognitive process to identify the relation between variables and is essential for students to learn algebra. …”
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Soft Robotics for Parkinson’s Disease Supported by Functional Materials and Artificial Intelligence by Hirak Mazumdar, Kamil Reza Khondakar, Suparna Das, Ajeet Kaushik

“…The potential for creating novel healthcare solutions by combining soft robotics, functional materials, the Internet-of-Things (IoT), and machine learning (ML) is highlighted by this multidisciplinary approach.…”
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