Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson’s disease by Byeongwook Lee, Christina B. Young, Weidong Cai, Rui Yuan, Sephira Ryman, Jeehyun Kim, Laurice Yang, Victor W. Henderson, Kathleen L. Poston, Vinod Menon

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Artificial Empathy and Imprecise Communication in a Multi-Agent System by Joanna Siwek, Konrad Pierzyński, Przemysław Siwek, Adrian Wójcik, Patryk Żywica

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Software Reliability Estimation of Component-Based Systems by Ibrahim Ayman Tagen, Khaled T. Wassef, Ramadam Moawad, Sabah Sayed Mohammad

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WFQ ENHANCEMENT USING INTELLIGENT DISTRIBUTED QUEUE BASED ANFIS FOR PACKET SWITCHING NETWORK by Sh. A. Ali, K. A. Nassar

“…In this paper present proposed scheduling mechanism to enhance the performance of computer network. Proposed method is utilize an adaptive neural fuzzy inference system in make schedule decision and adapted to handle with varying behaviors of network. …”
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Average Rényi entanglement entropy in Gaussian boson sampling by Jason Youm, Joseph T. Iosue, Adam Ehrenberg, Yu-Xin Wang, Alexey V. Gorshkov

“…We then analyze the limiting behaviors when the squeezing is small and large. Having determined the averages, we then explicitly calculate the Rényi-α variance for integers α>1 and are able to show that these entropies are weakly typical.…”
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Beyond clinical observations: a scoping review of AI-detectable observable cues in borderline personality disorder by Sara Močnik, Sara Močnik, Urška Smrke, Izidor Mlakar, Grega Močnik, Hojka Gregorič Kumperščak, Hojka Gregorič Kumperščak, Nejc Plohl

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On the Implementation of a Transverse Wave-Based Routing Technique for a TSP Circular Instance by Lazaros S. Savvidis, Constandinos X. Mavromoustakis, George N. Mastorakis, Evangelos K. Markakis

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Multiple Input Delays Estimation Using an Artificial Bee Colony Algorithm by Wei-Der Chang

“…To estimate the input delays, a new evolutionary computation called the artificial bee colony (ABC) algorithm is utilized. …”
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One's trash is another's treasure: Subthreshold kilohertz brain modulation as a side effect and as an intervention by Angel V. Peterchev

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Modeling and application of implicit feedback in personalized recommender systems by Hui Li, Shuai Wu, Ronghui Wang, Wenbin Hu, Haining Li

“…Traditional recommendation algorithms usually rely on the user's existing data and historical behavioral records to make recommendations, which often leads to low recommendation accuracy and insufficient personalized experience. …”
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A Deep Learning Framework for Enhanced Detection of Polymorphic Ransomware by Mazen Gazzan, Bader Alobaywi, Mohammed Almutairi, Frederick T. Sheldon

“…Key innovations include (1) data augmentation using a Bi-Gradual Minimax Generative Adversarial Network (BGM-GAN) to generate synthetic ransomware attack patterns, addressing data insufficiency; (2) Incremental Mutual Information Selection (IMIS) for dynamically selecting relevant features, adapting to evolving ransomware behaviors and reducing computational overhead; and (3) a Deep Belief Network (DBN) detection architecture, trained on the augmented data and optimized with Uncertainty-Aware Dynamic Early Stopping (UA-DES) to prevent overfitting. …”
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EXPLORING THE EFFECT OF CLIMATE CHANGE VIA PARITY-BASED PULSED TIMES OF COSINUSOIDAL WAVES IN SUSTAINABLY CONTROLLED MARINE BIOSYSTEMS by Ilias Elmouki, Amine Hamdache, Imane Abouelkheir, Fadwa El Kihal, Kanza Chouayakh, Abdelilah Jraifi, Aziz Darouichi

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Collective Mapping of Gas Leakages to Determine Safe Routes Using Multi-Robot System by Ronnier Frates Rohrich, Luis Felipe Messias, Jose Lima, Andre Schneider de Oliveira

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Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint by Alexandre Vallée

“…By leveraging data from genomics, proteomics, imaging, sociodemographics, and real-world behaviors, DTs provide a computational framework to model disease progression, optimize treatments, and personalize health care interventions. …”
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Integrating Bayesian Knowledge Tracing and Human Plausible Reasoning in an Adaptive Augmented Reality System for Spatial Skill Development by Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

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Addressing Hybrid Confounder Issue for Causal Session-Based Recommendation by Quan Li, Xinhua Xu, Jinjun Liu, Guangmin Li

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Blockchain-Based, Dynamic Attribute-Based Access Control for Smart Home Energy Systems by Urooj Waheed, Sadiq Ali Khan, Muhammad Masud, Huma Jamshed, Touqeer Ahmed Jumani, Najeeb Ur Rehman Malik

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Multi-HM: A Chinese Multimodal Dataset and Fusion Framework for Emotion Recognition in Human–Machine Dialogue Systems by Yao Fu, Qiong Liu, Qing Song, Pengzhou Zhang, Gongdong Liao

“…Sentiment analysis is pivotal in advancing human–computer interaction (HCI) systems as it enables emotionally intelligent responses. …”
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Applications of density functional theory to corrosion and corrosion prevention of metals: A review by Dihao Chen, Wenjie Zhou, Yucheng Ji, Chaofang Dong

“…Abstract Recently, density functional theory (DFT) has been a powerful tool to model the corrosion behaviors of materials, provide insights into the corrosion mechanisms, predict the corrosion performance of materials, and design the corrosion‐resistant alloys and organic inhibitors. …”
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Public attitude and media governance of biometric information dissemination in the era of digital intelligence by Wenyi Zhang, Hengtian Zhang, Zhouyang Deng

“…Abstract Absrtact: In the era of digital intelligence, biometrics plays a critical role in mediating sensitive information dissemination, human-computer interaction, and governance in both virtual and real-world settings, including the evolving metaverse. …”
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