The Experts below are selected from a list of 56427 Experts worldwide ranked by ideXlab platform
Michael R Irwin - One of the best experts on this subject based on the ideXlab platform.
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inflammation and social experience an inflammatory challenge induces feelings of social Disconnection in addition to depressed mood
Brain Behavior and Immunity, 2010Co-Authors: Naomi I Eisenberger, Tristen K. Inagaki, Nehjla M. Mashal, Michael R IrwinAbstract:Although research has established links between feelings of social isolation and inflammation, the direction of these effects is unclear. Based on the role that proinflammatory cytokines play in initiating “sickness behavior,” which includes symptoms such as social withdrawal, it is possible that inflammatory processes heighten feelings of ‘social Disconnection.’ Here, we examined whether exposure to an inflammatory challenge increased self-reported feelings of social Disconnection. In addition, because both inflammatory processes and feelings of social Disconnection contribute to depressive symptoms, we also explored whether increases in feelings of social Disconnection played a role in the link between inflammation and depressed mood. Participants were randomly assigned to either receive endotoxin, an inflammatory challenge, or placebo. Proinflammatory cytokines (IL-6, TNF-α) were collected at baseline and then hourly for six hours. Participants completed self-reports of sickness symptoms (“fatigue”), social Disconnection (“I feel disconnected from others”), and depressed mood (“unhappy”) hourly. Results revealed that endotoxin led to significant increases (from baseline) in IL-6 and TNF-α levels as well as feelings of social Disconnection and depressed mood. Moreover, controlling for increases in social Disconnection eliminated the relationship between exposure to inflammatory challenge and depressed mood. This study demonstrates that inflammation can have social psychological consequences, which may play a role in cytokine-related depressive symptoms.
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Inflammation and social experience: An inflammatory challenge induces feelings of social Disconnection in addition to depressed mood
Brain Behavior and Immunity, 2010Co-Authors: Naomi I Eisenberger, Tristen K. Inagaki, Nehjla M. Mashal, Michael R IrwinAbstract:Although research has established links between feelings of social isolation and inflammation, the direction of these effects is unclear. Based on the role that proinflammatory cytokines play in initiating " sickness behavior," which includes symptoms such as social withdrawal, it is possible that inflammatory processes heighten feelings of 'social Disconnection.' Here, we examined whether exposure to an inflammatory challenge increased self-reported feelings of social Disconnection. In addition, because both inflammatory processes and feelings of social Disconnection contribute to depressive symptoms, we also explored whether increases in feelings of social Disconnection played a role in the link between inflammation and depressed mood. Participants were randomly assigned to either receive endotoxin, an inflammatory challenge, or placebo. Proinflammatory cytokines (IL-6, TNF-α) were collected at baseline and then hourly for 6. h. Participants completed self-reports of sickness symptoms (" fatigue" ), social Disconnection (" I feel disconnected from others" ), and depressed mood (" unhappy" ) hourly. Results revealed that endotoxin led to significant increases (from baseline) in IL-6 and TNF-α levels as well as feelings of social Disconnection and depressed mood. Moreover, controlling for increases in social Disconnection eliminated the relationship between exposure to inflammatory challenge and depressed mood. This study demonstrates that inflammation can have social psychological consequences, which may play a role in cytokine-related depressive symptoms. © 2009 Elsevier Inc.
Naomi I Eisenberger - One of the best experts on this subject based on the ideXlab platform.
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inflammation and social experience an inflammatory challenge induces feelings of social Disconnection in addition to depressed mood
Brain Behavior and Immunity, 2010Co-Authors: Naomi I Eisenberger, Tristen K. Inagaki, Nehjla M. Mashal, Michael R IrwinAbstract:Although research has established links between feelings of social isolation and inflammation, the direction of these effects is unclear. Based on the role that proinflammatory cytokines play in initiating “sickness behavior,” which includes symptoms such as social withdrawal, it is possible that inflammatory processes heighten feelings of ‘social Disconnection.’ Here, we examined whether exposure to an inflammatory challenge increased self-reported feelings of social Disconnection. In addition, because both inflammatory processes and feelings of social Disconnection contribute to depressive symptoms, we also explored whether increases in feelings of social Disconnection played a role in the link between inflammation and depressed mood. Participants were randomly assigned to either receive endotoxin, an inflammatory challenge, or placebo. Proinflammatory cytokines (IL-6, TNF-α) were collected at baseline and then hourly for six hours. Participants completed self-reports of sickness symptoms (“fatigue”), social Disconnection (“I feel disconnected from others”), and depressed mood (“unhappy”) hourly. Results revealed that endotoxin led to significant increases (from baseline) in IL-6 and TNF-α levels as well as feelings of social Disconnection and depressed mood. Moreover, controlling for increases in social Disconnection eliminated the relationship between exposure to inflammatory challenge and depressed mood. This study demonstrates that inflammation can have social psychological consequences, which may play a role in cytokine-related depressive symptoms.
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Inflammation and social experience: An inflammatory challenge induces feelings of social Disconnection in addition to depressed mood
Brain Behavior and Immunity, 2010Co-Authors: Naomi I Eisenberger, Tristen K. Inagaki, Nehjla M. Mashal, Michael R IrwinAbstract:Although research has established links between feelings of social isolation and inflammation, the direction of these effects is unclear. Based on the role that proinflammatory cytokines play in initiating " sickness behavior," which includes symptoms such as social withdrawal, it is possible that inflammatory processes heighten feelings of 'social Disconnection.' Here, we examined whether exposure to an inflammatory challenge increased self-reported feelings of social Disconnection. In addition, because both inflammatory processes and feelings of social Disconnection contribute to depressive symptoms, we also explored whether increases in feelings of social Disconnection played a role in the link between inflammation and depressed mood. Participants were randomly assigned to either receive endotoxin, an inflammatory challenge, or placebo. Proinflammatory cytokines (IL-6, TNF-α) were collected at baseline and then hourly for 6. h. Participants completed self-reports of sickness symptoms (" fatigue" ), social Disconnection (" I feel disconnected from others" ), and depressed mood (" unhappy" ) hourly. Results revealed that endotoxin led to significant increases (from baseline) in IL-6 and TNF-α levels as well as feelings of social Disconnection and depressed mood. Moreover, controlling for increases in social Disconnection eliminated the relationship between exposure to inflammatory challenge and depressed mood. This study demonstrates that inflammation can have social psychological consequences, which may play a role in cytokine-related depressive symptoms. © 2009 Elsevier Inc.
Pietro Manzoni - One of the best experts on this subject based on the ideXlab platform.
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Enabling Real-time Communications and Services in Heterogeneous Networks of Drones and Vehicles
2019 International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2019Co-Authors: Milena Radenkovic, Vu San Ha Huynh, Robert John, Pietro ManzoniAbstract:This paper describes the deployment of the Mobile Opportunistic Disconnection-Tolerant Networks and Systems platform in heterogeneous real-world scenarios. Our aim is to prototype and test fully-distributed multi-layer complex DTN forwarding and processing algorithms in different real-time dynamic topologies with varying mobility, network resources and data workload (publish-subscribe) patterns. In this work, we describe two different real-world contexts of mobile heterogeneous sensing and query in Disconnection-prone environments: 1) networked drones and vehicles for agricultural monitoring applications and 2) vehicles and drone communications for smart city applications in urban environments. We discuss the performance characteristics of different mobile Disconnection prone communication protocols and dynamic architectures across a range of criteria.
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Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks
IEEE Access, 2018Co-Authors: Milena Radenkovic, Vu San Ha Huynh, Pietro ManzoniAbstract:Emerging mobile environments motivate the need for the development of new distributed technologies which are able to support dynamic peer to peer content sharing, decrease high operating costs, and handle intermittent Disconnections. In this paper, we investigate complex challenges related to the mobile Disconnection tolerant discovery of content that may be stored in mobile devices and its delivery to the requesting nodes in mobile resource-constrained heterogeneous environments. We propose a new adaptive real-time predictive multi-layer caching and forwarding approach, CafRepCache, which is collaborative, resource, latency, and content aware. CafRepCache comprises multiple multi-layer complementary realtime distributed predictive heuristics which allow it to respond and adapt to time-varying network topology, dynamically changing resources, and workloads while managing complex dynamic tradeoffs between them in real time. We extensively evaluate our work against three competitive protocols across a range of metrics over three heterogeneous real-world mobility traces in the face of vastly different workloads and content popularity patterns. We show that CafRepCache consistently maintains higher cache availability, efficiency and success ratios while keeping lower delays, packet loss rates, and caching footprint compared to the three competing protocols across three traces when dynamically varying content popularity and dynamic mobility of content publishers and subscribers. We also show that the computational cost and network overheads of CafRepCache are only marginally increased compared with the other competing protocols.
H. a. Khater - One of the best experts on this subject based on the ideXlab platform.
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the Disconnection mechanism of coupled migration and shear at grain boundaries
Acta Materialia, 2012Co-Authors: H. a. Khater, R. C. Pond, Alberto Serra, J.p. HirthAbstract:Abstract The mechanism of coupled migration and shear is studied in a range of [0 0 0 1] tilt boundaries in hexagonal close-packed metal using atomic-scale computer simulation. Symmetrical tilt boundaries spanning the low- and high-angle regimes and comprising regular arrays of grain boundary dislocations are simulated. For each misorientation, θ, the perfect boundary (pristine) is investigated as well as one containing a Disconnection. Both types of structures are subjected to incremental applied strains to determine the stress that produces coupled migration and shear. The stress for motion in the pristine case, entailing nucleation, is higher than the Peierls stress for motion when Disconnections are present. We conclude that the applied stresses in our simulations exert a Peach–Koehler force on pre-existing Disconnections, thereby providing a feasible mechanism with a well-defined driving force that produces coupled migration and shear. This mechanism is feasible for the lower-angle boundaries studied, and facile for the high-angle cases.
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The Disconnection mechanism of coupled migration and shear at grain boundaries
Acta Materialia, 2012Co-Authors: H. a. Khater, R. C. Pond, Alberto Serra, John P. HirthAbstract:The mechanism of coupled migration and shear is studied in a range of [0 0 0 1] tilt boundaries in hexagonal close-packed metal using atomic-scale computer simulation. Symmetrical tilt boundaries spanning the low- and high-angle regimes and comprising regular arrays of grain boundary dislocations are simulated. For each misorientation, ??, the perfect boundary (pristine) is investigated as well as one containing a Disconnection. Both types of structures are subjected to incremental applied strains to determine the stress that produces coupled migration and shear. The stress for motion in the pristine case, entailing nucleation, is higher than the Peierls stress for motion when Disconnections are present. We conclude that the applied stresses in our simulations exert a Peach-Koehler force on pre-existing Disconnections, thereby providing a feasible mechanism with a well-defined driving force that produces coupled migration and shear. This mechanism is feasible for the lower-angle boundaries studied, and facile for the high-angle cases. ?? 2012 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
Milena Radenkovic - One of the best experts on this subject based on the ideXlab platform.
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Enabling Real-time Communications and Services in Heterogeneous Networks of Drones and Vehicles
2019 International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2019Co-Authors: Milena Radenkovic, Vu San Ha Huynh, Robert John, Pietro ManzoniAbstract:This paper describes the deployment of the Mobile Opportunistic Disconnection-Tolerant Networks and Systems platform in heterogeneous real-world scenarios. Our aim is to prototype and test fully-distributed multi-layer complex DTN forwarding and processing algorithms in different real-time dynamic topologies with varying mobility, network resources and data workload (publish-subscribe) patterns. In this work, we describe two different real-world contexts of mobile heterogeneous sensing and query in Disconnection-prone environments: 1) networked drones and vehicles for agricultural monitoring applications and 2) vehicles and drone communications for smart city applications in urban environments. We discuss the performance characteristics of different mobile Disconnection prone communication protocols and dynamic architectures across a range of criteria.
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Understanding Information Centric Layer of Adaptive Collaborative Caching Framework in Mobile Disconnection-Prone Networks
2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 2018Co-Authors: Vu San Ha Huynh, Milena Radenkovic, Robert JohnAbstract:Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle Disconnections. In this paper, we investigate complex challenges related to content popularity weighting process in collaborative caching algorithm in heterogeneous mobile Disconnection prone environments. We describe a reputation-based popularity weighting mechanism built in information-centric layer of our adaptive collaborative Congestion-Aware Forwarding, Replication and Caching framework CafRepCache which considers a realistic case where caching points gathering content popularity observed by nodes differentiate between them according to nodes' reputation and network's connectivity values. We extensively evaluate CafRepCache against two competitive protocols across three heterogeneous real-world mobility, connectivity traces and use YouTube dataset for different workload and content popularity patterns. We show that CafRepCache balances the trade-offs to achieve higher cache hit ratio, efficiency and success ratios while keeping lower delays, packet loss and caching footprint compared to competing protocols across real-world traces in the face of dynamic mobility of publishers and subscribers.
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Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks
IEEE Access, 2018Co-Authors: Milena Radenkovic, Vu San Ha Huynh, Pietro ManzoniAbstract:Emerging mobile environments motivate the need for the development of new distributed technologies which are able to support dynamic peer to peer content sharing, decrease high operating costs, and handle intermittent Disconnections. In this paper, we investigate complex challenges related to the mobile Disconnection tolerant discovery of content that may be stored in mobile devices and its delivery to the requesting nodes in mobile resource-constrained heterogeneous environments. We propose a new adaptive real-time predictive multi-layer caching and forwarding approach, CafRepCache, which is collaborative, resource, latency, and content aware. CafRepCache comprises multiple multi-layer complementary realtime distributed predictive heuristics which allow it to respond and adapt to time-varying network topology, dynamically changing resources, and workloads while managing complex dynamic tradeoffs between them in real time. We extensively evaluate our work against three competitive protocols across a range of metrics over three heterogeneous real-world mobility traces in the face of vastly different workloads and content popularity patterns. We show that CafRepCache consistently maintains higher cache availability, efficiency and success ratios while keeping lower delays, packet loss rates, and caching footprint compared to the three competing protocols across three traces when dynamically varying content popularity and dynamic mobility of content publishers and subscribers. We also show that the computational cost and network overheads of CafRepCache are only marginally increased compared with the other competing protocols.
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Increasing communication reliability in manufacturing environments
IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference, 2015Co-Authors: Milena Radenkovic, Ivaylo Kostadinov, Bartosz WietrzykAbstract:This paper is concerned with low cost mechanisms that can increase reliability of machine to machine and machine to cloud communications in increasingly complex manufacturing environments that are prone to Disconnections and faults. We propose a novel distributed and cooperative sensing framework that supports localized real time predictive analytics of connectivity patterns and detection of a range of faults together with issuing of notifications and responding on demand queries. We show that our Fault and Disconnection Aware Smart Sensing (FDASS) framework achieves significantly lower packet loss rates and communication delays in the face of unreliable nodes and networks when compared to the state of the art and benchmark approaches.
