Distinct roles of two thalamostriatal systems in visually triggered decision-making in common marmosets by Shigeki Kato, Masateru Sugawara, Miwako Yamasaki, Masahiko Watanabe, Ken-ichi Inoue, Katsuki Nakamura, Daisuke Koketsu, Satomi Chiken, Atsushi Nambu, Masahiko Takada, Kazuto Kobayashi

“…Summary: The cortico-basal ganglia circuitry plays important roles in the control of various higher-order functions, such as motor control, cognition, and emotion. …”
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Ethnomathematical Expolarization of The Portibi Temple Building in North Padang Lawas Regency by Mega Utami Hasibuan, Fibri Rakhmawati

“…These findings demonstrate that the geometric forms in the temple serve not only structural functions but are also rich in philosophical values. …”
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Brain systems for probabilistic and dynamic prediction: computational specificity and integration. by Jill X O'Reilly, Saad Jbabdi, Matthew F S Rushworth, Timothy E J Behrens

“…A computational approach to functional specialization suggests that brain systems can be characterized in terms of the types of computations they perform, rather than their sensory or behavioral domains. …”
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Propagation of interspecies sexual behaviour between Japanese macaques and Sika deer: First evidence by Sueur Cédric, Oshima Atsuyuki, Pelé Marie

“…We categorised this rare behaviour as a case of reproductive interference and explored hypotheses regarding its functionality. While some suggest nutritional benefits for the deer, others propose learning, incomplete species recognition, or mate deprivation hypotheses. …”
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Construction of Facial Expression Recognition Technology of Intelligent Service Robot Based on Nanofiber Flexible Wearable Electronic Skins by Feigao Li, Chenyang Li, Yue Liu

“…Functional expression identification is an essential goal of the external analysis of human features. …”
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THE ROLE OF AUDIOBOOKS AS A MEDIA IN ENGLISH FOREIGN LANGUAGE TEACHING by Tania Todorova

“…Teodora Genova from the University of Library Science and Information Technology examines audiobooks as a medium in correlation with the other two book formats – printed and electronic books – and offers a clear view of the place of audiobooks as part of mobile assisted foreign language learning. Here the media is considered multi-dimensionally with its myriad benefits and functions in various aspects of its application. …”
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Development of cempaka SMART school for the elderly as an improvement of elderly welfare in Bengkulu by Yani Deliza Nabila, Heni Nopianti, Ika Pasca Himawati

“…The research was analyzed using Talcott Parsons' Functional Structural theory. The results showed that Sekolah Lansia is a learning program designed for elderly people 60 years and over, namely elderly people who have potential in the family and community. …”
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Effects of noisy galvanic vestibular stimulation on spatial memory in virtual reality by Purav Bhardwaj, Misha Sra

“…Abstract Spatial memory and navigation are foundational cognitive functions intricately tied to the hippocampal and striatal neural circuits. …”
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Educational Data Mining by Optimally Fusing Shallow and Deep Features by Bo-An Xiao

“…And thus, the model is completely functional and we identify unified channels and users. …”
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Teaching oxidation states to neural networks by Cristiano Malica, Nicola Marzari

“…Abstract While the accurate description of redox reactions remains a challenge for first-principles calculations, it has been shown that extended Hubbard functionals (DFT+U+V) can provide a reliable approach, mitigating self-interaction errors, in materials with strongly localized d or f electrons. …”
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Design and Implementation of a Virtual Laboratory for the Analysis and Synthesis of Mechanisms by Luz Adriana Mejia Calderón, Carlos Alberto Romero Piedrahita

“…This paper outlines the functional features of the virtual laboratory, including its graphical user interface, user guide, instructional practices, and assessment procedures – demonstrating its value as an effective tool to support and enhance both teaching and student learning. …”
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A Comprehensive Analysis of the Security of ML Integrated CPS as Autonomous Vehicles by Kesava reddy, Kumudham R

“…Furthermore, the paper surveys the crucial feature of risk assessment associated to autonomous vehicles, emphasising the performance can considerably improve when risk assessments are confirmed by large datasets in the training phase, predominantly while engaging learning models. In general, the findings emphasise the significance of leveraging progressive data analytics and ML to improve the security and reliability of autonomous vehicles, confirming the safe functions in progressively multifaceted atmospheres. …”
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Neuro-fuzzy control of bilateral teleoperation system with transmission timedelay and force feedback using Arduino Due board by Hakima Rahem, Rabah Mellah, Massinissa Zidane, Abdelhakim Saim

“…The combination of the inference capacities of fuzzy logic reasoning and the learning capacities of neural networks, enable the formation of an adaptive and robust neuro-fuzzy controller ANFIS (Adaptive Neuro-Fuzzy Inference System) which adapts to variations in the dynamics of the system by the automatic adjustment of the parameters of the fuzzy rules and the membership functions using a learning algorithm, thus ensuring compensation of the negative effects of transmission delay in the closed loop system. …”
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Refined insights into Africa's plant-soil diversity interplay by Ndiye M. Kebonye, Pegah Khosravani, Zibanani Seletlo, Thomas Scholten

“…Taken together, our findings shed light on the fine-scale interplay between continental plant and soil diversity, providing critical knowledge for a detailed understanding of terrestrial ecosystem functioning to ensure targeted monitoring to support life. …”
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Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support by Renata Turkeš, Steven Mortier, Jorg De Winne, Jorg De Winne, Dick Botteldooren, Paul Devos, Steven Latré, Tim Verdonck

“…The performance of the different EEG representations is evaluated with the Support Vector Machine (SVM) accuracy on the WithMe data derived from a modified digit span experiment, and is benchmarked against baseline EEG-specific models, including a deep learning architecture known for effectively learning task-specific features.ResultsThe raw EEG time series outperform each of the considered data representations, but can fall short in comparison with the black-box deep learning approach that learns the best features.DiscussionThe findings are limited to the WithMe experimental paradigm, highlighting the need for further studies on diverse tasks to provide a more comprehensive understanding of their utility in the analysis of EEG data.…”
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UKRAINIAN AS A FOREIGN LANGUAGE FOR GERMAN-SPEAKING STUDENTS: ACHIEVEMENTS AND PROSPECTS IN THE 21ST CENTURY by Oksana V. Turkevych

“…High-quality linguistic resources of the Ukrainian language (for example, functional grammar of the Ukrainian language, dictionaries of collocations, lexical minimums), taking into account the latest approaches to learning foreign languages, would not only raise students' motivation, but also contribute to greater competitiveness of the Ukrainian language in a modern globalized society.…”
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Les tasques motrius significatives (TMS): òptims procediments d'ensenyament i d'aprenentatge by Francesc Buscà Donet, Oleguer Camerino Foguet, Marta Castañer Balcells

“…<br>From a theoretical point of view this article examines two issues: the educational dimension of motor functions and the need to enable meaningful learning of those aspects which cut across different subject areas. …”
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Optimizing therapeutic outcomes of immune checkpoint blockade by a microbial tryptophan metabolite by Giorgia Renga, Emilia Nunzi, Marilena Pariano, Matteo Puccetti, Marina Maria Bellet, Giuseppe Pieraccini, Fiorella D’Onofrio, Ilaria Santarelli, Claudia Stincardini, Franco Aversa, Francesca Riuzzi, Cinzia Antognelli, Marco Gargaro, Oxana Bereshchenko, Maurizio Ricci, Stefano Giovagnoli, Luigina Romani, Claudio Costantini

“…However, much has to be learned to fully harness gut microbiome for clinical applicability. …”
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F-OSFA: A Fog Level Generalizable Solution for Zero-Day DDOS Attacks Detection by Muhammad Rashid Minhas, Qaisar M. Shafi, Shoab Ahmed Khan, Tahir Ahmad, Subhan Ullah, Attaullah Buriro, Muhammad Azfar Yaqub

“…The first component uses a hybrid machine learning and deep learning framework that combines convolutional neural networks (CNNs) and decision trees to detect traditional DDoS attacks. …”
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Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data by Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li

“…Our model achieved a state-of-the-art accuracy of 0.732 on ASD classification by integrating three scales of brain functional connectomes and personal characteristic data, outperforming multiple peer machine learning models in a k-fold cross validation experiment. …”
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