Modulating salience network connectivity through olfactory nerve stimulation by Carina Heller, Maria Geisler, Nicolas L. Mayer, Annabelle Thierfelder, Martin Walter, Thomas Hummel, Ilona Croy

“…Modification of this clinical pattern is challenging. Leveraging the direct neural pathways from olfactory processing regions to the salience network, we explored the effects of electrical stimulation of the olfactory mucosa on brain connectivity. …”
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Towards a methodology for validation of centrality measures in complex networks. by Komal Batool, Muaz A Niazi

“…Whereas Betweenness Centrality varied according to network topology and did not demonstrate any noticeable pattern. …”
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Hot question prediction in Stack Overflow by Li Xian Zhao, Li Zhang, Jing Jiang

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Research on disaster information dissemination based on social sensor networks by Shanshan Wan, Zhuo Chen, Cheng Lyu, Ruofan Li, Yuntao Yue, Ying Liu

“…Previous studies mainly focused on the impact of human mobility patterns on social sensor networks. In this article, based on the inherent autonomy property of human individuals, we propose a social sensor information dissemination model, which mainly focuses on the impact of the individual characteristics, social characteristics, and group information dissemination mode on social sensor networks. …”
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Graph Neural Networks for Pressure Estimation in Water Distribution Systems by Huy Truong, Andrés Tello, Alexander Lazovik, Victoria Degeler

“…Second, a realistic evaluation protocol that considers real temporal patterns and noise injection to mimic the uncertainties intrinsic to real‐world scenarios. …”
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Generative Adversarial Networks for Dynamic Cybersecurity Threat Detection and Mitigation by William Villegas-Ch, Rommel Gutierrez, Jaime Govea

“…The model is designed to detect anomalies in network traffic and generate malicious synthetic patterns to strengthen system defenses. …”
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Osteoarthritis Classification Using Hybrid Quantum Convolutional Neural Network by Devansh Tikariha, Abdul Moomin, D. Jeyamani, P. Rukmani

“…Using a QCNN, this model harnesses the ability of quantum computing to represent high-dimensional data transformations, a novel approach that complements classical CNN layers by exploring patterns that are not captured in traditional networks. …”
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An adaptive spatiotemporal dynamic graph convolutional network for traffic prediction by Zhiguo Xiao, Qi Shen, Changgen Li, Dongni Li, Qian Liu

“…Abstract Traffic prediction, as a core technology of Intelligent Transportation Systems, plays a pivotal role in dynamic road network optimization and urban travel planning. However, the complex spatiotemporal characteristics of transportation networks pose significant challenges to precisely capturing their dynamic patterns. …”
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Machine Learning Algorithms Performance Evaluation for Intrusion Detection by Shyla ., Kapil Kumar, Vishal Bhatnagar

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Physics-Informed Graph Neural Networks for Attack Path Prediction by Marin François, Pierre-Emmanuel Arduin, Myriam Merad

“…The automated identification and evaluation of potential attack paths within infrastructures is a critical aspect of cybersecurity risk assessment. …”
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Functional MRI reveals brain activation patterns associated with optimization of spinal cord stimulation parameters in treating chronic pain by Artur Vetkas, Cletus Cheyuo, Ajmal Zemmar, Brendan Santyr, Clement T. Chow, Sriranga Kashyap, Benson Yang, Mia Mojica, Alexandre Boutet, Can Sarica, Jürgen Germann, Stefan Lang, Mohammad M. Hajiabadi, Andrew Z. Yang, Simon J. Graham, Kâmil Uludağ, Anuj Bhatia, Andres M. Lozano

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Uncovering implicit Seismogenic associated regions towards promoting urban resilience by Roya Habibi, Ali Asghar Alesheikh

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Trait dissociation in borderline personality disorder: influence on immediate therapy outcomes, follow-up assessments, and self-harm patterns by Ana Macchia, David Mikusky, Cedric Sachser, Annabel Sandra Mueller-Stierlin, Sandra Nickel, Niklas Sanhüter, Birgit Abler

“…Prior to therapy, we evaluated trait dissociation (Dissociative Experience Scale), early life trauma (Childhood Trauma Questionnaire), and self-harm patterns (clinical interview). …”
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Evolution, Growth, and Maturity of the Thematic Network in the field of Citation Bias by Elaheh Hosseini, Maral Alipour-Tehrani, Najmeh Salemi

“…Understanding the growth patterns of the thematic network can enhance our comprehension of the mechanisms underlying its connections and links. …”
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In situ monitoring of defects in steel structures using a robot‐assisted ultrasonic inspection technique by Hamidreza Besharatifard, Saeed Hasanzadeh

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The Performance of GPM IMERG Product Validated on Hourly Observations over Land Areas of Northern Hemisphere by Pengfei Lv, Guocan Wu

“…Climate Reference Network. The results showed a basic consistency in the spatial pattern of annual precipitation total between IMERG data and gauge observations. …”
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Analyzing key users’ behavior trends in volunteer-based networks by Nofar Piterman, Tamar Makov, Michael Fire

“…The insights gained from our analysis not only shed light on the behavioral patterns of key users in volunteer-driven networks but also highlight the potential of machine learning in enhancing community engagement and building strategies for the future. …”
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Cooperator and Defector-Based Dynamic Community Detection in Social Networks by Hui Jiang, Chenlin Zhao, Zhexi Guo, Tangyu Wang

“…Dynamic community detection in social networks requires advanced methods to capture the intricate patterns of user interactions. …”
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Mechanisms underlying the spontaneous reorganization of depression network after stroke by Yirong Fang, Xian Chao, Zeyu Lu, Hongmei Huang, Ran Shi, Dawei Yin, Hao Chen, Yanan Lu, Jinjing Wang, Peng Wang, Xinfeng Liu, Wen Sun

“…Stepwise functional connectivity (SFC) was used to examine topological changes in the depression network over time to identify patterns of network reorganization. …”
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The influence of correlated features on neural network attribution methods in geoscience by Evan Krell, Antonios Mamalakis, Scott A. King, Philippe Tissot, Imme Ebert-Uphoff

“…Correlated features may also cause inaccurate attributions because XAI methods typically evaluate isolated features, whereas networks learn multifeature patterns. …”
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