Semaphorin7A patterns neural circuitry in the lateral line of the zebrafish by Agnik Dasgupta, Caleb C Reagor, Sang Peter Paik, Lauren M Snow, Adrian Jacobo, AJ Hudspeth

“…Here, we report that Semaphorin7A (Sema7A) acts as an important mediator of these processes. Utilizing a semi-automated three-dimensional neurite tracing methodology and computational techniques, we have identified and quantitatively analyzed distinct topological features that shape the network in wild-type and Sema7A loss-of-function mutants. …”
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Solving Maxwell Equations in Hybrid Electrical Vehicle to Optimal Design by Multi-Objective Optimization Algorithms by Abdulaziz Alkuhayli, Aymen Flah, Alireza Hosseinpour, Claude Ziad El-Bayeh, Lukas Prokop, Vojtech Blazek

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Analysis and applications of a heralded electron source by Stewart A Koppell, John W Simonaitis, Maurice A R Krielaart, William P Putnam, Karl K Berggren, Phillip D Keathley

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MicroServices-driven enterprise architecture model for infrastructure optimization by A. M. Abd-Elwahab, A. G. Mohamed, E. M. Shaaban

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Systematic Underreproduction of Time Is Independent of Judgment Certainty by Martin Riemer, Darren Rhodes, Thomas Wolbers

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Intention to Use Smartphone through Perceived Compatibility, Perceived Usefulness, and Perceived Ease of Use by Harries Arizonia Ismail

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Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

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RANKING FACTORS FOR SUPPLIER SELECTION WITH APPLICATION OF THE FTOPSIS METHOD by Adis Puška, Sead Šadić, Admir I. Beganović

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RelayGAN: Sequential knowledge propagation for sustainable multi-generation by Namkyung Yoon, Hwangnam Kim

“…Furthermore, we verify that RelayGAN leverages sequential knowledge transfer to reduce redundant learning processes in accordance with the principles of sustainable AI development, increasing computational efficiency and contributing to eco-friendly AI. …”
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Mathematisation of specialised disciplines as the basis for fundamentalising IT training in universities by E. A. Perminov, V. A. Testov

“…The synergy between discretion and continuity in mathematics, physics, and information processes is analysed. This analysis characterises the role of discrete mathematics in achieving a synergetic effect in teaching mathematics and computer science. …”
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Improvement of metaphor understanding via a cognitive linguistic model based on hierarchical classification and artificial intelligence SVM by Dongmei Zhu

“…Abstract This study aims to enhance computers’ ability to understand and generate metaphors, offering a novel perspective and technical approach in the field of natural language processing. …”
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Gaussian Pulse-Based Two-Threshold Parallel Scaling Tone Reservation for PAPR Reduction of OFDM Signals by Lei Guan, Anding Zhu

“…Compared to conventional approaches, this technique significantly reduces the hardware implementation complexity and cost, while also reducing signal processing time delay by using just two iterations. …”
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Mathematical modeling of the interaction between endocrine systems and EEG signals by Wei Liu

“…Traditional mathematical models often fail to capture the nonlinear dynamics, feedback mechanisms, and cross-system interactions inherent in these processes, limiting their applicability in clinical and research settings.MethodsThis study proposes a novel framework for modeling and analyzing the interaction between endocrine regulatory systems and EEG signals, leveraging advanced methodologies such as the Hormone Interaction Dynamics Network (HIDN) and the Adaptive Hormonal Regulation Strategy (AHRS). …”
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The Use of Management by Measurements and Management by Results in Syria by N. D. Hurmuz

“…It is shown that these processes, which started in the early 20-th century, were interrupted by military actions but they resumed now. …”
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A geospatial modelling approach integrating archaeobotany and genetics to trace the origin and dispersal of domesticated plants. by Jacob van Etten, Robert J Hijmans

“…<h4>Conclusions/significance</h4>The approach makes possible the integrative inference of crop dispersal processes, while controlling model complexity and computational requirements.…”
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A phenotypic drug discovery approach by latent interaction in deep learning by Tat Wai Billy Yu

“…Contemporary drug discovery paradigms rely heavily on binding assays about the bio-physicochemical processes. However, this dominant approach suffers from overlooked higher-order interactions arising from the intricacies of molecular mechanisms, such as those involving cis-regulatory elements. …”
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Status and Challenges of the National Service Training Program and Its Impact on Values Formation by Jose Magbanua

“…Frequency, percentage, mean and standard deviation were used a descriptive statistics and Man-Whitney U Test and Kruskal-Wallis H Test at 0.05 alpha were employed as inferential statistics. All statistical computations were processed through the Statistical Package for Social Sciences (SPSS) software. …”
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Research on Highly Real-Time and High Precision Localization Method for Rail Transit by HUANG Wenyu, PAN Wenbo, LI Yuanzhengyu, CHEN Zhiwei, YANG Zhenyu, YUAN Chao

“…First, the results from inertial computation are directly used as predictive input values for the filter, to fully leverage the dynamic response characteristics of inertial sensors. …”
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Challenges and technical development of storage systems in the era of large language models by FENG Yangyang, WANG Qing, SHU Jiwu

“…Large language models have shown exceptional performance in complex tasks, such as text and visual processing, drawing significant attention from industry and academia. …”
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Cascaded Feature Fusion Grasping Network for Real-Time Robotic Systems by Hao Li, Lixin Zheng

“…The experimental results show that our method achieves high-speed processing while maintaining high accuracy. In real-world robotic grasping experiments, our method also proved to be effective, achieving an average grasping success rate of 95.6% on a robot equipped with parallel grippers.…”
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