Illinois Institute of Technology

About: Illinois Institute of Technology is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Electric power system & Wireless network. The organization has 10188 authors who have published 21062 publications receiving 554178 citations. The organization is also known as: IIT & Illinois Tech.

Perceived stigma predicts low self-efficacy and poor coping in schizophrenia

Abstract: Background: The stigma of mental illness has been shown to be a barrier to recovery in schizophrenia.Aims: The present study aimed to examine the influence of perceived stigma on self-efficacy and the coping styles of secrecy and withdrawal over and above selected sociodemographic and clinical variables and psychopathology.Method: Outpatients diagnosed with schizophrenia (N = 127) filled in measures of perceived stigma, secrecy and withdrawal as coping modi, positive and negative symptom severity, self-efficacy, depression and insight into psychosis.Results: Perceived stigma accounted for a significant amount of variance in secrecy and withdrawal, as well as low self-efficacy, over and above the amount of variance explained by positive and negative symptomatology, depression, insight, age and gender.Conclusion: Our findings demonstrate the negative influence of stigma perceived by persons with schizophrenia on self-efficacy and coping. Clinicians should offer guidance in functional coping with perceived s...

The US News Media, Polarization on Climate Change, and Pathways to Effective Communication

Abstract: The news media are a central source of information about climate change for most people. Through frames, media transmit information that shape how people understand climate change as well as the ac...

Multiperiod Distribution System Restoration With Routing Repair Crews, Mobile Electric Vehicles, and Soft-Open-Point Networked Microgrids

Abstract: This paper proposes a distribution system restoration model which is in response to multiple outages caused by natural disasters. The proposed restoration model includes the coordination of routing repair crews (RRCs), mobile battery-carried vehicles (MBCVs), and networked microgrids (NMGs) formed by soft open points (SOPs). The travel and repair time constraints are modeled for each RRC; travel path and charging strategy are modeled for each MBCV; and the network reconfiguration is developed considering the optimal operation of SOP-based NMGs. The proposed model is presented as a mixed-integer linear program which is solved by an auxiliary induce function based algorithm to reduce the computational complexity. The modified IEEE 33-bus and 69-bus distribution systems are tested with multiple outages. The presented results demonstrate the effectiveness of the proposed model.