Comparison of ensemble and correlation graphs in the task of classifying brain states based on fMRI data by Vlasenko, Daniil Vladimirovich, Ushakov, Vadim Gennadevich, Zaikin, Aleksei Anatolevich, Zakharov, Denis Gennadevich

“…The study of functional brain networks that support cognitive processes is one of the central goals of modern neuroscience. …”
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Adaptive Taylor Kolmogorov–Arnold Network for Hyperspectral Image Classification by Yichen Liu, Xin Zhang, Zitong Zhang, Hanlin Feng

“…Traditional deep learning models for hyperspectral image (HSI) classification are limited by static activation functions and linear weights, hindering the extraction of complex features effectively. …”
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Health assessment of a brushless direct current motor stator using a physics-informed long short-term memory network by Yi Ren, Runfei Yi, Zhaoxin Lian, Quan Xia, Dezhen Yang, Bo Sun, Qiang Feng

“…The stator is essential to the functioning of BLDC motors, and the non-invasive health assessment of the stator can minimise operational disruptions to the motor while ensuring reliability. …”
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Unveiling the impact of the SMARTCLAP project on habilitation by Matthew Bonello, Nathalie Buhagiar, Philip Farrugia, Joseph Mercieca

“…As part of the technology’s maturity process, DigiClap and the respective serious game were evaluated with target users, to identify the system’s impact in supporting the children’s overall participation and hand function, and to gather feedback from occupational therapists and caregivers on this novel technology. …”
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Development of a simple, low-cost, blue light-emitting diode illuminator for hands-on training of DNA detection experiments using agarose gel electrophoresis by Haruka Honda, Hisayuki Miyajima, Noritaka Miyamoto, Keigo Yoshida, Yuichi Tanaka

“…Despite its limited functionality, the ease of construction and affordability of the proposed illuminator make it sufficient for hands-on molecular biology training in classrooms, thereby enhancing the learning environment and educational efficiency.…”
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In Vitro Studies of Neuronal Networks and Synaptic Plasticity in Invertebrates and in Mammals Using Multielectrode Arrays by Paolo Massobrio, Jacopo Tessadori, Michela Chiappalone, Mirella Ghirardi

“…Brain functions are strictly dependent on neural connections formed during development and modified during life. …”
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SILF Dataset: Fault Dataset for Solar Insecticidal Lamp Internet of Things Node by Xing Yang, Liyong Zhang, Lei Shu, Xiaoyuan Jing, Zhijun Zhang

“…However, the proper functioning of SIL-IoT is a prerequisite for enabling these capabilities. …”
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Cholinergic Degeneration and Alterations in the TrkA and p75NTR Balance as a Result of Pro-NGF Injection into Aged Rats by Ashley M. Fortress, Mona Buhusi, Kris L. Helke, Ann-Charlotte E. Granholm

“…Learning and memory impairments occurring with Alzheimer's disease (AD) are associated with degeneration of the basal forebrain cholinergic neurons (BFCNs). …”
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Vehicle Trajectory Prediction Using Residual Diffusion Model Based on Image Information by Wei He, Haoxuan Li, Tao Wang, Nan Wang

“…Finally, on this basis, a general trajectory constraint function is introduced, so that the generated trajectories of multiple vehicles will not collide with each other. …”
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Proposal of a parameter identification method for singledegree-of-freedom nonlinear systems using neural networks by Daiki TAJIRI, Kosuke NAKAJIMA, Masaki IKEDA, Shozo KAWAMURA, Masami MATSUBARA

“…In this method, the measured excitation force, acceleration, velocity, and displacement are input to the NN, which learns the force equilibrium between the external force, inertial force, damping force, and nonlinear restoring force, thus identifying the characteristics of the vibration system in an explicit manner. …”
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An Efficient Multi-Objective White Shark Algorithm by Wenyan Guo, Yufan Qiang, Fang Dai, Junfeng Wang, Shenglong Li

“…The uniformity of the initial population is enhanced through a chaotic reverse initialization learning strategy. The adaptive updating of individual positions is facilitated by an elite-guided forgetting mechanism, which incorporates escape energy and eddy aggregation behavior inspired by marine organisms to improve exploration in key areas. …”
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Transformation education Pancasila as vehicle systematic education character in the era of globalization: A study conceptual – philosophical by Jackson Simamora, Dasim Budimansyah, Encep Syarief Nurdin, Mupid Hidayat

“…The study results indicate that Pancasila education not only functions as an instrument of state ideology but also as a dynamic paradigm that accommodates cultural diversity and global challenges. …”
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COMPARISON OF SUPPORT VECTOR MACHINE BASED ON FASTTEXT WITHOUT AND WITH FIREFLY OPTIMIZATION PARAMETERS FOR DISASTER SENTIMENT ANALYSIS IN INDONESIA by Fadilah Amirul Adhel, Sri Astuti Thamrin, Siswanto Siswanto

“…Support vector machine (SVM) is a supervised machine learning technique that functions as a separator of two classes of data. …”
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Drug-target binding affinity prediction based on power graph and word2vec by Jing Hu, Shuo Hu, Minghao Xia, Kangxing Zheng, Xiaolong Zhang

“…Abstract Background Drug and protein targets affect the physiological functions and metabolic effects of the body through bonding reactions, and accurate prediction of drug-protein target interactions is crucial for drug development. …”
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Neuro-navigation: Equipment, Tips, and Tricks on Brain Navigated Surgery by Enoh Nkongho Kingsly, Ismail Bozkurt, Bipin Chaurasia

“…This narrative review allows the reader to grasp the main aspects of neuronavigation, the functions of all the aspects, and what to expect during brain surgery. …”
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A Review of the Conceptual Structure and Evolution of Digital Leadership Research in Education by Turgut Karakose, Hakan Polat, Tijen Tülübaş, Murat Demirkol

“…With the advent of digital technologies that have rapidly changed the functioning of societies, digital leadership has also become a novel imperative for the effective functioning of organizations. …”
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Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…We defined seven states of the functional brain with unique profiles in terms of frequency-power spectra, coherence, phase-amplitude coupling, α exponent, functional excitation-inhibition balance (fE/I), and aperiodic exponent. …”
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Single-Cell Transcriptomic Approaches for Decoding Non-Coding RNA Mechanisms in Colorectal Cancer by Mahnoor Naseer Gondal, Hafiz Muhammad Umer Farooqi

“…We explore computational methods and tools used for ncRNA identification, characterization, and functional prediction in CRC, with a focus on single-cell RNA sequencing (scRNA-seq) data. …”
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Cognitive readiness components of cyber defense in the military field by Morteza Talebi, Hassan Mahjub, Mohsen Aghaee

“…In the qualitative part, meta-synthesis and content analysis method with open, central and selective coding and to analyze quantitative data from descriptive statistics and to evaluate the fit of the conceptual model of the cyber defense cognitive readiness system, factor analysis method and SmartPLS software were usedFindings: The results of the qualitative part of the research showed that the concept of cognitive readiness of cyber defense includes two components of main executive functions and high-level cognitive functions with 11 sub-components; Memory, self-regulation, flexibility, decision making, problem solving, cognitive openness, metacognition, creativity, adaptability, critical thinking. …”
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Sex Differences in Sleep Architecture After Traumatic Brain Injury: Potential Implications on Short-Term Episodic Memory and Recovery by Stefanie N. Howell, Grace S. Griesbach

“…Such disturbances in sleep can lead to deficits in executive functioning, attention, and memory consolidation, which may ultimately impact the recovery process. …”
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