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Artykuły w czasopismach na temat „Multi-group connectivity”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Li, Xiaoli, and Yugeng Xi. "FLOCKING OF MULTI-AGENT DYNAMIC SYSTEMS WITH GUARANTEED GROUP CONNECTIVITY*." Journal of Systems Science and Complexity 21, no. 3 (2008): 337–46. http://dx.doi.org/10.1007/s11424-008-9117-7.

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Casetti, Claudio Ettore, Carla Fabiana Chiasserini, Yufeng Duan, Paolo Giaccone, and Andres Perez Manriquez. "Data Connectivity and Smart Group Formation in Wi-Fi Direct Multi-Group Networks." IEEE Transactions on Network and Service Management 15, no. 1 (2018): 245–59. http://dx.doi.org/10.1109/tnsm.2017.2766124.

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Zhang, Yintao, Chengyan Lin, Lihua Ren, et al. "Study on Connectivity of Fractured-Vuggy Marine Carbonate Reservoirs Based on Dynamic and Static Methods." Journal of Marine Science and Engineering 13, no. 3 (2025): 435. https://doi.org/10.3390/jmse13030435.

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Fractured-vuggy marine carbonate reservoirs, as an unconventional energy resource, hold significant potential for exploration and development. In this study, the Manshen block of the Furman oilfield in the Tarim Basin, China, was selected as the research object. A systematic investigation was conducted on the types of marine carbonate reservoir bodies, production characteristics, and both static and dynamic connectivity. Static connectivity analysis was performed using the heat diffusion equation and the multi-source potential field method. Dynamic connectivity evaluation was carried out by co

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H.Vincent Poor, Narayan B. Mandayam, Wade Trappe, and Andrey Garnaev. "A multi-link communication connectivity game under hostile interference." ITU Journal on Future and Evolving Technologies 2, no. 1 (2021): 101–12. http://dx.doi.org/10.52953/swhp5412.

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In this paper, we consider a communication connectivity problem involving a primary user (transmitter, for example, a Ground Control Station (GCS)) servicing a group of secondary users (receivers, for example, drones) under hostile interference. We formulate this multi-link communication connectivity problem, where the channels are affected by Rayleigh fading, as a zero-sum power resource allocation game between a transmitter and an adversary (jammer). The transmitter's objective is to maximize the probability of communication connectivity with all the receivers. It is proven that the problem

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Coluzzi, Davide, and Giuseppe Baselli. "Diffuse and Localized Functional Dysconnectivity in Schizophrenia: a Bootstrapped Top-Down Approach." Fundamenta Informaticae 189, no. 2 (2023): 171–98. http://dx.doi.org/10.3233/fi-222157.

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Schizophrenia is a brain disorder leading to detached mind’s normally integrated processes. Hence, the exploration of the symptoms in relation to functional connectivity (FC) had great relevance in the field. Connectivity can be investigated on different levels, going from global features to single edges between pairs of regions, revealing diffuse and localized dysconnection patterns. In this context, schizophrenia is characterized by a different global integration with reduced connectivity in specific areas of the brain, part of the Default Mode Network (DMN). However, the assessment of FC pr

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Ferri, J., J. M. Ford, B. J. Roach, et al. "Resting-state thalamic dysconnectivity in schizophrenia and relationships with symptoms." Psychological Medicine 48, no. 15 (2018): 2492–99. http://dx.doi.org/10.1017/s003329171800003x.

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AbstractBackgroundSchizophrenia (SZ) is a severe neuropsychiatric disorder associated with disrupted connectivity within the thalamic-cortico-cerebellar network. Resting-state functional connectivity studies have reported thalamic hypoconnectivity with the cerebellum and prefrontal cortex as well as thalamic hyperconnectivity with sensory cortical regions in SZ patients compared with healthy comparison participants (HCs). However, fundamental questions remain regarding the clinical significance of these connectivity abnormalities.MethodResting state seed-based functional connectivity was used

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Zhu, Yu, Bangsen Tian, Chou Xie, et al. "Multi-Temporal InSAR Deformation Monitoring Zongling Landslide Group in Guizhou Province Based on the Adaptive Network Method." Sustainability 15, no. 2 (2023): 894. http://dx.doi.org/10.3390/su15020894.

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Due to the influence of atmospheric phase delays and terrain fluctuation in complex mountainous areas, traditional PS-InSAR technology often fails to select enough measurement points (MPs) and loses effective MPs during phase unwrapping. To solve this problem, this paper proposes an adaptive network construction algorithm, which combines the permanent scatterer (PS) points with the distributed scatterer (DS) points. Firstly, to ensure the extraction quality of the DS points, the covariance matrix of DS points is estimated robustly. Secondly, based on the traditional Delaunay triangulation netw

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Lopes Alves, Rael, Maxciel Zortea, Paul Vicuña Serrano, et al. "Modulation of neural networks and symptom correlated in fibromyalgia: A randomized double-blind multi-group explanatory clinical trial of home-based transcranial direct current stimulation." PLOS ONE 19, no. 11 (2024): e0288830. http://dx.doi.org/10.1371/journal.pone.0288830.

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Background Transcranial direct current stimulation (tDCS) might modulate neural activity and promote neural plasticity in patients with fibromyalgia (FM). This multi-group randomized clinical trial compared home-based active tDCS (HB-a-tDCS) on the left dorsolateral prefrontal cortex (l-DLPFC) or home-based sham tDCS (HB-s-tDCS), and HB-a-tDCS or HB-s-tDCS on the primary motor cortex (M1) in the connectivity analyses in eight regions of interest (ROIs) across eight resting-state electroencephalography (EEG) frequencies. Methods We included 48 women with FM, aged 30 to 65, randomly assigned to

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Sahel, Aurelia, Rafael Ceschin, Daryaneh Badaly, et al. "Increased Cerebello-Prefrontal Connectivity Predicts Poor Executive Function in Congenital Heart Disease." Journal of Clinical Medicine 12, no. 16 (2023): 5264. http://dx.doi.org/10.3390/jcm12165264.

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Background: Children and adolescents with congenital heart disease (CHD) are at risk for cognitive impairments, such as executive function deficits and motor delays, which can impact their academic and adaptive functioning as well as their quality of life. We investigated whether alterations in connectivity between the prefrontal and cerebellar brain structures exist between CHD and control cohorts and if these alterations could predict cognitive or motor impairment among youths with CHD. Methods: 53 participants with CHD and 73 healthy control participants completed multi-modal magnetic reson

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Hao, Yangguang, Zhongwei Shen, Jiexi Ma, Jiawei Li, and Mengqian Yang. "Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space." Land 14, no. 1 (2025): 120. https://doi.org/10.3390/land14010120.

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Urban Agglomerations (UAs), as the primary form of China’s new urbanization and an essential spatial unit for promoting coordinated regional development, play a crucial role in measuring the sustainable and healthy development of urban clusters through the assessment of spatial network connections among cities within the UAs. Taking the 16 prefecture-level cities of the Chengdu-Chongqing Urban Agglomeration (CCUA) as the research subject, this study constructs six types of element flow networks, including population flow, logistics, and information flow. Employing network visualization analysi

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Guo, Liwen, Zhihong Kang, Shuaiwei Ding, et al. "A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity." Applied Sciences 14, no. 21 (2024): 9913. http://dx.doi.org/10.3390/app14219913.

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Given that more and more oil reservoirs are reaching the high water cut stage during water flooding, the construction of an advanced algorithmic model for identifying inter-well connectivity is crucial to improve oil recovery and extend the oilfield service life cycle. This study proposes a state variable-based dynamic capacitance (SV-DC) model that integrates artificial intelligence techniques with dynamic data and geological features to more accurately identify inter-well connectivity and its evolution. A comprehensive sensitivity analysis was performed on single-well pairs and multi-well gr

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Shaukat, Mansoor, and Mandar Chitre. "Adaptive behaviors in multi-agent source localization using passive sensing." Adaptive Behavior 24, no. 6 (2016): 446–63. http://dx.doi.org/10.1177/1059712316664120.

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In this paper, the role of adaptive group cohesion in a cooperative multi-agent source localization problem is investigated. A distributed source localization algorithm is presented for a homogeneous team of simple agents. An agent uses a single sensor to sense the gradient and two sensors to sense its neighbors. The algorithm is a set of individualistic and social behaviors where the individualistic behavior is as simple as an agent keeping its previous heading and is not self-sufficient in localizing the source. Source localization is achieved as an emergent property through agent’s adaptive

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Yeo, Ronald A., Sephira G. Ryman, Martijn P. van den Heuvel, et al. "Graph Metrics of Structural Brain Networks in Individuals with Schizophrenia and Healthy Controls: Group Differences, Relationships with Intelligence, and Genetics." Journal of the International Neuropsychological Society 22, no. 2 (2016): 240–49. http://dx.doi.org/10.1017/s1355617715000867.

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AbstractObjectives: One of the most prominent features of schizophrenia is relatively lower general cognitive ability (GCA). An emerging approach to understanding the roots of variation in GCA relies on network properties of the brain. In this multi-center study, we determined global characteristics of brain networks using graph theory and related these to GCA in healthy controls and individuals with schizophrenia. Methods: Participants (N=116 controls, 80 patients with schizophrenia) were recruited from four sites. GCA was represented by the first principal component of a large battery of neu

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Shen, Yanhua, Zhengmin Kong, and Li Ding. "Flocking of Multi-Agent System with Nonlinear Dynamics via Distributed Event-Triggered Control." Applied Sciences 9, no. 7 (2019): 1336. http://dx.doi.org/10.3390/app9071336.

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In this paper, a distributed event-triggered control strategy is proposed to investigate aflocking problem in a multi-agent system with Lipschitz nonlinear dynamics, where triggeringconditions are proposed to determine the instants to update the controller. A distributedevent-triggered control law with bounded action function is proposed for free flocking. It is provedthat the designed event-triggered controller ensures a group of agents reach stable flocking motionwhile preserving connectivity of the communication network. Lastly, simulations are provided toverify the effectiveness of the the

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15

Jung, SungHoon, and Saewoong Bahk. "Online Control of Traffic Split and Distributed Cell Group State Decisions for Multi-Connectivity in 5G and Beyond." IEEE Transactions on Vehicular Technology 71, no. 3 (2022): 2843–58. http://dx.doi.org/10.1109/tvt.2021.3138252.

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Grassi, Rosanna, Paolo Bartesaghi, Stefano Benati, and Gian Paolo Clemente. "Multi-Attribute Community Detection in International Trade Network." Networks and Spatial Economics 21, no. 3 (2021): 707–33. http://dx.doi.org/10.1007/s11067-021-09547-4.

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AbstractUnderstanding the structure of communities in a network has a great importance in the economic analysis. Communities are indeed characterized by specific properties, that are different from those of both the individual nodes and the whole network, and they can affect various processes on the network. In the International Trade Network, community detection aims to search sets of countries (or of trade sectors) which have a high intra-cluster connectivity and a low inter-cluster connectivity. In general, exchanges among countries occur according to preferential economic relationships ran

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Biswas, Sanjib, and Dragan Pamucar. "Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria Group Decision Based Analysis." Axioms 9, no. 3 (2020): 77. http://dx.doi.org/10.3390/axioms9030077.

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Facility location is one of the critical strategic decisions for any organization. It not only carries the organization’s identity but also connects the point of origin and point of consumption. In the case of higher educational institutions, specifically B-Schools, location is one of the primary concerns for potential students and their parents while selecting an institution for pursuing higher education. There has been a plethora of research conducted to investigate the factors influencing the B-School selection decision-making. However, location as a standalone factor has not been widely st

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Costa, A., and M. Farber. "Large random simplicial complexes, III the critical dimension." Journal of Knot Theory and Its Ramifications 26, no. 02 (2017): 1740010. http://dx.doi.org/10.1142/s0218216517400107.

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In this paper, we study the notion of critical dimension of random simplicial complexes in the general multi-parameter model described in [Random simplicial complexes, preprint (2014), arXiv:1412.5805 ; Large random simplicial complexes, I, preprint (2015), arXiv:1503.06285 ; Large random simplical complexes, II, preprint (2015), arXiv:1509.04837 ]. This model includes as special cases the Linial–Meshulam–Wallach model [Homological connectivity of random 2-complexes, Combinatorica 26 (2006) 475–487; Homological connectivity of random [Formula: see text]-complexes, Random Struct. Alogrithms 34

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Wu, Jiansheng, Shengyong Zhang, Haihao Wen, and Xuening Fan. "Research on Multi-Scale Ecological Network Connectivity—Taking the Guangdong–Hong Kong–Macao Greater Bay Area as a Case Study." International Journal of Environmental Research and Public Health 19, no. 22 (2022): 15268. http://dx.doi.org/10.3390/ijerph192215268.

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The Guangdong–Hong Kong–Macao Greater Bay Area urban agglomeration is an urban agglomeration with some of the most intensive urbanization since 1980s. A large amount of cultivated land, forest land, water bodies and other land types in the region has been occupied by construction land, resulting in fragmented ecological landscapes and biodiversity in the region and causing many other ecological problems. Based on this, this paper takes the Guangdong–Hong Kong–Macao Greater Bay Area as a case study, constructs an ecological network of the dispersion scale of five species from 1990 to 2020 based

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Kong, Ru, Qing Yang, Evan Gordon, et al. "Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior." Cerebral Cortex 31, no. 10 (2021): 4477–500. http://dx.doi.org/10.1093/cercor/bhab101.

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Abstract Resting-state functional magnetic resonance imaging (rs-fMRI) allows estimation of individual-specific cortical parcellations. We have previously developed a multi-session hierarchical Bayesian model (MS-HBM) for estimating high-quality individual-specific network-level parcellations. Here, we extend the model to estimate individual-specific areal-level parcellations. While network-level parcellations comprise spatially distributed networks spanning the cortex, the consensus is that areal-level parcels should be spatially localized, that is, should not span multiple lobes. There is di

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Baek, K., L. S. Morris, P. Kundu, and V. Voon. "Disrupted resting-state brain network properties in obesity: decreased global and putaminal cortico-striatal network efficiency." Psychological Medicine 47, no. 4 (2016): 585–96. http://dx.doi.org/10.1017/s0033291716002646.

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BackgroundThe efficient organization and communication of brain networks underlie cognitive processing and their disruption can lead to pathological behaviours. Few studies have focused on whole-brain networks in obesity and binge eating disorder (BED). Here we used multi-echo resting-state functional magnetic resonance imaging (rsfMRI) along with a data-driven graph theory approach to assess brain network characteristics in obesity and BED.MethodMulti-echo rsfMRI scans were collected from 40 obese subjects (including 20 BED patients) and 40 healthy controls and denoised using multi-echo indep

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Merhar, Stephanie, Adebayo Braimah, Traci Beiersdorfer, Brenda Poindexter, and Nehal Parikh. "3046 Reduced structural and functional connectivity in infants with prenatal opioid exposure." Journal of Clinical and Translational Science 3, s1 (2019): 52. http://dx.doi.org/10.1017/cts.2019.123.

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OBJECTIVES/SPECIFIC AIMS:. This study aims to understand the effects of prenatal opioid exposure on structural and functional connectivity in the neonatal brain. Our central hypothesis is that infants with prenatal opioid exposure will have decreased structural and functional connectivity as compared to non-exposed controls. Our overarching goal is to improve neurodevelopmental and behavioral outcomes in infants with prenatal opioid exposure. METHODS/STUDY POPULATION:. Infants with prenatal opioid exposure were recruited from 2 birth hospitals in our area. Control infants were recruited from t

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SJOGREN, JON A. "CONNECTIVITY AND SPECTRUM IN A GRAPH WITH A REGULAR AUTOMORPHISM GROUP OF ODD ORDER." International Journal of Algebra and Computation 04, no. 04 (1994): 529–60. http://dx.doi.org/10.1142/s0218196794000142.

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Let a finite group G of odd order n act regularly on a connected (multi-)graph Γ. That is, no group element other than the identity fixes any vertex. Then the “quotient graph” Δ under the action is the induced graph of orbits. We give a result about the connectivity of Γ and Δ in terms of their numbers of labeled spanning trees. In words, the spanning tree count of the graph is equal to n, the order of the given regular automorphism group, times the spanning tree count of the graph of orbits, times a perfect square integer. There is a dual result on the Laplacian spectrum saying that the multi

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Jiang, Tao, Hongbo Liu, Yuhai Hu, Xiubao Chen, and Jian Yang. "Revealing Population Connectivity of the Estuarine Tapertail Anchovy Coilia nasus in the Changjiang River Estuary and Its Adjacent Waters Using Otolith Microchemistry." Fishes 7, no. 4 (2022): 147. http://dx.doi.org/10.3390/fishes7040147.

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The estuarine tapertail anchovy, Coilia nasus, is a migratory fish with high economic value in China. We collected fish from the Changjiang River (the Yangtze River) estuary, the Qiantang River estuary, and the southern Yellow Sea, and studied their relationships using otolith elemental and stable isotopic microchemistry signatures to assess the population connectivity of C. nasus. Results show that, in addition to Ca, other elements were present in the otolith core. The δ18O, Na/Ca, Fe/Ca, and Cu/Ca values of the Qiantang population were significantly higher than those of the others, whereas

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Kinsler, Paul, Sean Holman, Andrew Elliott, Cathryn N. Mitchell, and R. Eddie Wilson. "Agent swarms: Cooperation and coordination under stringent communications constraint." PLOS ONE 19, no. 12 (2024): e0311513. https://doi.org/10.1371/journal.pone.0311513.

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Here we consider the communications tactics appropriate for a group of agents that need to “swarm” together in a challenging communications environment. Swarms are increasingly important in a number of applications, including land, air, sea and space exploration, and their constituent agents could be satellites, drones, or other autonomous vehicles. A particularly difficult problem is to autonomously connect a swarm of agents together in a situation where stringent communication constraints are present, whether due to a need for stealth, restricted on-board power, external requirements to avoi

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Chu, Qitong, Xin Guo, Tengyu Zhang, et al. "Stroke-Related Alterations in the Brain’s Functional Connectivity Response Associated with Upper Limb Multi-Joint Linkage Movement." Brain Sciences 13, no. 2 (2023): 338. http://dx.doi.org/10.3390/brainsci13020338.

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Stroke is one of the primary causes of motor disorders, which can seriously affect the patient’s quality of life. However, the assessment of the upper limb affected by stroke is commonly based on scales, and the characteristics of brain reorganization induced by limb movement are not clear. Thus, this study aimed to investigate stroke-related cortical reorganization based on functional near infrared spectroscopy (fNIRS) during upper limb multi-joint linkage movement with reference to the Fugl–Meyer Assessment of the upper extremities (FMA-UE). In total, 15 stroke patients and 15 healthy subjec

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Urchs, Sebastian, Jonathan Armoza, Clara Moreau, et al. "MIST: A multi-resolution parcellation of functional brain networks." MNI Open Research 1 (March 5, 2019): 3. http://dx.doi.org/10.12688/mniopenres.12767.2.

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The functional architecture of the brain is organized across multiple levels of spatial resolutions, from distributed networks to the localized areas they are made of. A brain parcellation that defines functional nodes at multiple resolutions is required to investigate the functional connectome across these scales. Here we present the Multiresolution Intrinsic Segmentation Template (MIST), a multi-resolution group level parcellation of the cortical, subcortical and cerebellar gray matter. The individual MIST parcellations match other published group parcellations in internal homogeneity and re

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Schetinin, Vitaly, Livija Jakaite, Ndifreke Nyah, Dusica Novakovic, and Wojtek Krzanowski. "Feature Extraction with GMDH-Type Neural Networks for EEG-Based Person Identification." International Journal of Neural Systems 28, no. 06 (2018): 1750064. http://dx.doi.org/10.1142/s0129065717500642.

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The brain activity observed on EEG electrodes is influenced by volume conduction and functional connectivity of a person performing a task. When the task is a biometric test the EEG signals represent the unique “brain print”, which is defined by the functional connectivity that is represented by the interactions between electrodes, whilst the conduction components cause trivial correlations. Orthogonalization using autoregressive modeling minimizes the conduction components, and then the residuals are related to features correlated with the functional connectivity. However, the orthogonalizati

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Holt, Jeana, Amy Mosely, Vanessa Baldwin, Linda Barnes, Charlotte Muhammad, and S. Michele Cohen. "It Takes a Village: Evaluating the Feasibility and Acceptability of a Community-Based Parenting Program." Interdisciplinary Journal of Partnership Studies 7, no. 2 (2020): 5. http://dx.doi.org/10.24926/ijps.v7i2.3389.

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Background: A community-academic partnership responded to a community-voiced need to address parenting challenges while living in poverty. Purpose: To evaluate the feasibility and acceptability of a community-based intervention that included positive parenting strategies to build and support healthy families, and behavioral health promotion. Design: Multi-method pilot study Findings: Focus group participants (n=11) valued the program highly. There were no changes in participants' (n=36) Perceived Stress Scale scores after program completion (p>0.05, d=0.063). Conclusions: Participants were

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Wang, Lei, Yanyan Zhu, Lin Wu, Ying Zhuang, Jinsheng Zeng, and Fuqing Zhou. "Classification of Chemotherapy-Related Subjective Cognitive Complaints in Breast Cancer Using Brain Functional Connectivity and Activity: A Machine Learning Analysis." Journal of Clinical Medicine 11, no. 8 (2022): 2267. http://dx.doi.org/10.3390/jcm11082267.

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The aim of this study was combining multi-level resting-state functional magnetic resonance imaging (rs-fMRI) features with machine learning method to distinguish breast cancer patients with chemotherapy-related subjective cognitive complaints (SCC) from non-chemotherapy (BC) and healthy controls (HC). Forty subjects in SCC group, forty-nine in BC group and thirty-four in HC group were recruited and underwent rs-fMRI scanning. Based on the anatomical automatic labeling brain atlas, the functional metrics of all subjects included functional connectivity, amplitude of low frequency fluctuation a

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de Celis-Alonso, Benito, Silvia S. Hidalgo-Tobón, Eduardo Barragán-Pérez, et al. "Different Food Odors Control Brain Connectivity in Impulsive Children." CNS & Neurological Disorders - Drug Targets 18, no. 1 (2019): 63–77. http://dx.doi.org/10.2174/1871527317666181105105113.

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Background: Impulsivity is a complex multi-dimensional combination of behaviors which include: ineffective impulse control, premature decision-making and inability to delay gratification. Objective: The aim of this work was to explore how food odor perception and its emotional value is affected in impulsive children. Methods: Here we compared two cohorts of impulsive and control children with ages between 10 and 16 years. Both groups underwent a functional magnetic resonance imaging experiment, in which foodrelated odor-cues were presented to all of them. Results: Differences in regions of blo

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Favilli, Filippo, Christian Hoffmann, Marianna Elmi, Elisa Ravazzoli, and Thomas Streifeneder. "The BioREGIO Carpathians project: aims, methodology and results from the "Continuity and Connectivity" analysis." Nature Conservation 11 (July 28, 2015): 95–111. https://doi.org/10.3897/natureconservation.11.4424.

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BioREGIO Carpathians is a transnational cooperation project, co-financed under the second call of the EU South East Europe Transnational Cooperation Programme, priority area "Protection and Improvement of the Environment". BioREGIO Carpathians run for three years (2011–2013) and is a flagship project for the Carpathian Convention (article four dealing with landscape and biological diversity), its Biodiversity Protocol and the Biodiversity Working Group. The project is built on the conservation, restoration and valorisation of the Carpathians ecological continuum to enable large herbivores and

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Wang, Hanyang, Yuetao Wang, Zhen Ren, Chengbin Wu, and Wenpeng Song. "Cluster-Based Protection Mechanisms for Coastal Traditional Villages: A Complex Network Analysis Approach with a Case Study of Rongcheng, Shandong Province (Part 1)." Buildings 15, no. 5 (2025): 784. https://doi.org/10.3390/buildings15050784.

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Traditional villages are intricate socio-spatial systems shaped by multi-scalar interactions encompassing natural, cultural, and hierarchical dimensions. Despite their significant cultural and ecological value, conventional unit-based conservation methods often overlook systemic interdependencies within and between villages, leading to spatial fragmentation, inefficient resource utilization, and the erosion of distinct cultural identities. To address these limitations, this study proposes a cluster-based protection framework, integrating complex network theory with GIS-supported spatial networ

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Wang, Shuo, Weidong Wang, Zhonghua Xu, Qingjun Song, and Jiangu Qian. "Field Pumping and Recharge Test Study for Confined Aquifers in Super-Large Deep Foundation Pit Group Sites." Buildings 15, no. 8 (2025): 1383. https://doi.org/10.3390/buildings15081383.

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To ensure the stability of deep foundation pits in confined aquifers, dewatering is often required. However, pumping from confined aquifers in large deep foundation pit groups may lead to significant environmental deformations. Therefore, field pumping and recharge tests are required to guide design of groundwater and environmental deformation control scheme. Focusing on a super-large deep foundation pit group in Shanghai, single-well pumping, multi-well pumping, and recharge tests were conducted in distinct geological zones (normally consolidated area and paleochannel zone). The hydraulic con

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Yang, Su, Jose Miguel Sanchez Bornot, Ricardo Bruña Fernandez, et al. "Detection of Mild Cognitive Impairment with MEG Functional Connectivity Using Wavelet-Based Neuromarkers." Sensors 21, no. 18 (2021): 6210. http://dx.doi.org/10.3390/s21186210.

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Studies on developing effective neuromarkers based on magnetoencephalographic (MEG) signals have been drawing increasing attention in the neuroscience community. This study explores the idea of using source-based magnitude-squared spectral coherence as a spatial indicator for effective regions of interest (ROIs) localization, subsequently discriminating the participants with mild cognitive impairment (MCI) from a group of age-matched healthy control (HC) elderly participants. We found that the cortical regions could be divided into two distinctive groups based on their coherence indices. Compa

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Wiengarten, Frank, Muhammad Usman Ahmed, Annachiara Longoni, Mark Pagell, and Brian Fynes. "Complexity and the triple bottom line: an information-processing perspective." International Journal of Operations & Production Management 37, no. 9 (2017): 1142–63. http://dx.doi.org/10.1108/ijopm-06-2016-0292.

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Purpose The purpose of this paper is to empirically investigate the impact of complexity on the triple bottom line by applying information-processing theory. Specifically, the paper assesses the impact of internal manufacturing complexity on environmental, social, and financial performance. Furthermore, the paper assesses the moderating role of connectivity and shared schema in reducing the potential negative impact of complexity on performance. Design/methodology/approach Multi-country survey data collected through the Global Manufacturing Research Group were utilized to test the hypotheses.

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Keke, Wang, Hao Rongxia, and Liu Jianbing. "Group Connectivity of 1-Edge Deletable IM-Extendable Graphs." April 20, 2011. https://doi.org/10.5281/zenodo.814410.

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In 1950s, Tutte introduced the theory of nowhere-zero flows as a tool to investigate the coloring problem of maps, together with his most fascinating conjectures on nowhere-zero flows. These have been extended by Jaeger, Linial, Payan and Tarsil in 1992 to group connectivity, the generalized form of nowhere-zero flows.

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Fouladivanda, Mahshid, Armin Iraji, Lei Wu, et al. "A spatially constrained independent component analysis jointly informed by structural and functional network connectivity." Network Neuroscience, June 18, 2024, 1–76. http://dx.doi.org/10.1162/netn_a_00398.

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Abstract There are a growing number of neuroimaging studies motivating joint structural and functional brain connectivity. Brain connectivity of different modalities provides insight into brain functional organization by leveraging complementary information, especially for brain disorders such as schizophrenia. In this paper, we propose a multi-modal independent component analysis (ICA) model that utilizes information from both structural and functional brain connectivity guided by spatial maps to estimate intrinsic connectivity networks (ICNs). Structural connectivity is estimated through who

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Prima, Marie‐Caroline, Julien Renaud, Isabelle Witté, et al. "A comprehensive framework to assess multi‐species landscape connectivity." Methods in Ecology and Evolution, October 31, 2024. http://dx.doi.org/10.1111/2041-210x.14444.

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Abstract Due to the central role of landscape connectivity in many ecological processes, evaluating and accounting for it has gained attention in both theoretical and applied ecological sciences. To address this challenge, researchers often use generic species to simplify multi‐species connectivity assessments. Yet, this approach tends to oversimplify movement behaviour, likely reducing realism and precision of connectivity model outputs. Also, the most widely used methods and theories for assessing landscape connectivity, namely circuit and network theories, have strong limitations. Finally,

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Chang, Xiaofei, Jiayue Jiao, Yuenan Li, and Bei Hong. "Multi-consensus formation control by artificial potential field based on velocity threshold." Frontiers in Neuroscience 18 (March 25, 2024). http://dx.doi.org/10.3389/fnins.2024.1367248.

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This study proposes a multi-consensus formation control algorithm by artificial potential field (APF) method based on velocity threshold. The algorithm improves the multi-consensus technique. This algorithm can split a group of agents into multiple agent groups. Note that the algorithm can easily complete the queue transformation as long as the entire proxy group is connected initially and no specific edges need to be removed. Furthermore, collision avoidance and maintenance of existing communication connectivity should be considered during the movement of all agents. Therefore, we design a ne

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Roy, Arkaprava. "Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores." Journal of the Royal Statistical Society Series C: Applied Statistics, May 12, 2023. http://dx.doi.org/10.1093/jrsssc/qlad033.

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Abstract We study association between the structural connectivity and cognitive profiles using a multi-response nonparametric regression model. The cognitive profiles are quantified by seven cognitive test scores, and structural connectivity is represented by nine nodal attributes of connectivity graphs. These nodal centralities together encode different connectivity profiles in the brain network. Nodal attributes may be grouped together for each node, motivating us to introduce group sparsity for feature selection, and radial basis function (RBF)-nets are used to quantify the regression effec

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McCluskey, Eric M., Faith C. Kuzma, Helen D. Enander, et al. "Assessing habitat connectivity of rare species to inform urban conservation planning." Ecology and Evolution 14, no. 3 (2024). http://dx.doi.org/10.1002/ece3.11105.

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AbstractUrbanization is commonly associated with biodiversity loss and habitat fragmentation. However, urban environments often have greenspaces that can support wildlife populations, including rare species. The challenge for conservation planners working in these systems is identifying priority habitats and corridors for protection before they are lost. In a rapidly changing urban environment, this requires prompt decisions informed by accurate spatial information. Here, we combine several approaches to map habitat and assess connectivity for a diverse set of rare species in seven urban study

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Guberman, Guido I., Sonja Stojanovski, Eman Nishat, et al. "Multi-tract multi-symptom relationships in pediatric concussion." eLife 11 (May 10, 2022). http://dx.doi.org/10.7554/elife.70450.

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<strong>Background:</strong> The heterogeneity of white matter damage and symptoms in concussion has been identified as a major obstacle to therapeutic innovation. In contrast, most diffusion MRI (dMRI) studies on concussion have traditionally relied on group-comparison approaches that average out heterogeneity. To leverage, rather than average out, concussion heterogeneity, we combined dMRI and multivariate statistics to characterize multi-tract multi-symptom relationships. <strong>Methods:</strong> Using cross-sectional data from 306 previously-concussed children aged

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Wilson, James D., Melanie Baybay, Rishi Sankar, Paul Stillman, and Abbie M. Popa. "Analysis of population functional connectivity data via multilayer network embeddings." Network Science, October 21, 2020, 1–24. http://dx.doi.org/10.1017/nws.2020.39.

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Abstract Population analyses of functional connectivity have provided a rich understanding of how brain function differs across time, individual, and cognitive task. An important but challenging task in such population analyses is the identification of reliable features that describe the function of the brain, while accounting for individual heterogeneity. Our work is motivated by two particularly important challenges in this area: first, how can one analyze functional connectivity data over populations of individuals, and second, how can one use these analyses to infer group similarities and

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Burgher, Bjorn, Genevieve Whybird, Nikitas Koussis, James G. Scott, Luca Cocchi, and Michael Breakspear. "Sub-optimal modulation of gain by the cognitive control system in young adults with early psychosis." Translational Psychiatry 11, no. 1 (2021). http://dx.doi.org/10.1038/s41398-021-01673-4.

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AbstractExecutive dysfunctions in early psychosis (EP) are subtle but persistent, hindering recovery. We asked whether changes in the cognitive control system (CCS) disrupt the response to increased cognitive load in persons with EP. In all, 30 EP and 30 control participants undertook multimodal MRI. Computational models of structural and effective connectivity amongst regions in the CCS were informed by cortical responses to the multi-source interference task, a paradigm that selectively introduces stimulus conflict. EP participants showed greater activation of CCS regions, including the supe

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De Bruyn, Nele, Leen Saenen, Liselot Thijs, et al. "Brain connectivity alterations after additional sensorimotor or motor therapy for the upper limb in the early-phase post stroke: a randomized controlled trial." Brain Communications 3, no. 2 (2021). http://dx.doi.org/10.1093/braincomms/fcab074.

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Abstract Somatosensory function plays an important role for upper limb motor learning. However, knowledge about underlying mechanisms of sensorimotor therapy is lacking. We aim to investigate differences in therapy-induced resting-state functional connectivity changes between additional sensorimotor compared with motor therapy in the early-phase post stroke. Thirty first-stroke patients with a sensorimotor impairment were included for an assessor-blinded multi-centre randomized controlled trial within 8 weeks post stroke [13 (43%) females; mean age: 67 ± 13 years; mean time post stroke: 43 ± 1

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Reardon, Alexandra M., Kaiming Li, and Xiaoping P. Hu. "Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning." Frontiers in Computational Neuroscience 15 (December 2, 2021). http://dx.doi.org/10.3389/fncom.2021.762781.

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Background: Multi-site functional MRI (fMRI) databases are becoming increasingly prevalent in the study of neurodevelopmental and psychiatric disorders. However, multi-site databases are known to introduce site effects that may confound neurobiological and measures such as functional connectivity (FC). Although studies have been conducted to mitigate site effects, these methods often result in reduced effect size in FC comparisons between controls and patients.Methods: We present a site-wise de-meaning (SWD) strategy in multi-site FC analysis and compare its performance with two common site-ef

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Bittencourt, Mayra, Harm-Jan van der Horn, Sebastián A. Balart-Sánchez, Jan-Bernard C. Marsman, Joukje van der Naalt, and Natasha M. Maurits. "Effects of Mild Traumatic Brain Injury on Resting State Brain Network Connectivity in Older Adults." Brain Imaging and Behavior, April 8, 2022. http://dx.doi.org/10.1007/s11682-022-00662-5.

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AbstractOlder age is associated with worsened outcome after mild traumatic brain injury (mTBI) and a higher risk of developing persistent post-traumatic complaints. However, the effects of mTBI sequelae on brain connectivity at older age and their association with post-traumatic complaints remain understudied.We analyzed multi-echo resting-state functional magnetic resonance imaging data from 25 older adults with mTBI (mean age: 68 years, SD: 5 years) in the subacute phase (mean injury to scan interval: 38 days, SD: 9 days) and 20 age-matched controls. Severity of complaints (e.g. fatigue, diz

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Yang, Yang, Zhou Shu, and Qidong Liu. "Predictor‐based collision‐free and connectivity‐preserving resilient formation control for multi‐agent systems under sensor deception attacks." International Journal of Robust and Nonlinear Control, May 2024. http://dx.doi.org/10.1002/rnc.7382.

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AbstractMalicious attack is a potential threat to collision‐free and connectivity‐preserving formation. In this article, a predictor‐based collision‐free and connectivity‐preserving resilient formation control strategy is proposed for a class of multi‐agent systems under sensor deception attacks. The predictor states are constructed to replace original states in the control strategy, and a novel attack compensator is constructed to suppress sensor deception attacks. Prediction errors, instead of compromised errors, are introduced to update weights of radial basis function neural networks (RBFN

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Luan, Ying, Weiyi Wang, Yihui Guan, Nicolai Franzmeier, Fang Xie, and Michael Ewers. "Connectivity to epicenters of tau accumulation contributes to regional synaptic loss in Alzheimer’s disease." Alzheimer's & Dementia 20, S2 (2024). https://doi.org/10.1002/alz.090863.

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AbstractBackgroundAlzheimer’s disease (AD) is associated with substantial synaptic loss potentially due to synaptotoxicity of fibrillar tau, but the association between tau deposition and synaptic loss remains unclear. Based on previous observations that pathology spreads preferentially between closely connected regions, we tested in the current multi‐PET tracer study the hypothesis that synaptic loss propagates to regions closely connected to epicenters of high tau accumulation.MethodWe assessed 18F‐SynVesT‐1 PET as a measure of synaptic vesicle glycoprotein 2A (SV2A), and 18F‐flortaucipir ta

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