Missouri University of Science and Technology

About: Missouri University of Science and Technology is a education organization based out in Rolla, Missouri, United States. It is known for research contribution in the topics: Control theory & Artificial neural network. The organization has 9380 authors who have published 21161 publications receiving 462544 citations. The organization is also known as: Missouri S&T & University of Missouri–Rolla.

Structure-Preserved Power System Transient Stability Using Stochastic Energy Functions

Abstract: With the increasing penetration of renewable energy systems such as plug-in hybrid electric vehicles, wind and solar power into the power grid, the stochastic disturbances resulting from changes in operational scenarios, uncertainties in schedules, new demands and other mitigating factors become crucial in power system stability studies. This paper presents a new method for analyzing stochastic transient stability using the structure-preserving transient energy function. A method to integrate the transient energy function and recloser probability distribution functions is presented to provide a quantitative measure of probability of stability. The impact of geographical distribution and signal-to-noise ratio on stability is also presented.

Enhancing Business Networks using Social Network Based Virtual Communities

Abstract: Purpose – To enhance an entrepreneur's business network through the integration of the social network concepts and design principles of virtual communities.Design/methodology/approach – This study documents the design and initial deployment of a virtual community case, Innovation Information Infrastructure, based on social network concepts.Findings – Basic design principles, deployment strategy, and future directions for social network‐based virtual communities are presented.Research limitations/implications – Because of resource and time constraints, only basic content service, communication tools, and transaction functions were implemented in the initial deployment. Future extensions of this study may include development of a personalized and intelligent information retrieval system utilizing data mining techniques, development of advanced communication features to promote active participation, and creation of automatic social network‐tracking tools to monitor an individual's network evolution.Practical...

Using Mobile Sensing to Test Clinical Models of Depression, Social Anxiety, State Affect, and Social Isolation Among College Students

Abstract: Background: Research in psychology demonstrates a strong link between state affect (moment-to-moment experiences of positive or negative emotionality) and trait affect (eg, relatively enduring depression and social anxiety symptoms), and a tendency to withdraw (eg, spending time at home). However, existing work is based almost exclusively on static, self-reported descriptions of emotions and behavior that limit generalizability. Despite adoption of increasingly sophisticated research designs and technology (eg, mobile sensing using a global positioning system [GPS]), little research has integrated these seemingly disparate forms of data to improve understanding of how emotional experiences in everyday life are associated with time spent at home, and whether this is influenced by depression or social anxiety symptoms. Objective: We hypothesized that more time spent at home would be associated with more negative and less positive affect. Methods: We recruited 72 undergraduate participants from a southeast university in the United States. We assessed depression and social anxiety symptoms using self-report instruments at baseline. An app (Sensus) installed on participants’ personal mobile phones repeatedly collected in situ self-reported state affect and GPS location data for up to 2 weeks. Time spent at home was a proxy for social isolation. Results: We tested separate models examining the relations between state affect and time spent at home, with levels of depression and social anxiety as moderators. Models differed only in the temporal links examined. One model focused on associations between changes in affect and time spent at home within short, 4-hour time windows. The other 3 models focused on associations between mean-level affect within a day and time spent at home (1) the same day, (2) the following day, and (3) the previous day. Overall, we obtained many of the expected main effects (although there were some null effects), in which higher social anxiety was associated with more time or greater likelihood of spending time at home, and more negative or less positive affect was linked to longer homestay. Interactions indicated that, among individuals higher in social anxiety, higher negative affect and lower positive affect within a day was associated with greater likelihood of spending time at home the following day. Conclusions: Results demonstrate the feasibility and utility of modeling the relationship between affect and homestay using fine-grained GPS data. Although these findings must be replicated in a larger study and with clinical samples, they suggest that integrating repeated state affect assessments in situ with continuous GPS data can increase understanding of how actual homestay is related to affect in everyday life and to symptoms of anxiety and depression. [J Med Internet Res 2017;19(3):e62]

Structure and non-linear optical performance of TeO2–Nb2O5–ZnO glasses

Abstract: The non-linear optical performance and structure of TeO 2 –Nb 2 O 5 –ZnO glasses was investigated as a function of ZnO content. The third-order non-linear optical susceptibility ( χ (3) ) as measured by a Degenerate Four Wave Mixing (DFWM) method, initially increased with increasing ZnO content to about 8.2 × 10 −13 esu for a glass containing 2.5 wt% ZnO, and then decreased to 5.9 × 10 −13 esu as the ZnO content increased to 10 wt%. There was no noticeable change as the ZnO content increased from 10 to 15 wt%. The non-linear optical response time, which caused electron cloud deformation, was from 450 to 500 fs. The structure of these glasses as analyzed by Raman spectroscopy and FT-IR spectra, was affected by the addition of ZnO up to 5 wt%, when, it is believed, the Zn 2+ ions occupied the interstitial positions in the glass network by replacing the Nb 5+ ions. The replaced Nb 5+ ions occupied the network forming positions as the Te 4+ ions. Increasing ZnO > 5 wt% did not have any further effect on the glass structure.