Bowling Green State University

About: Bowling Green State University is a education organization based out in Bowling Green, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8315 authors who have published 16042 publications receiving 482564 citations. The organization is also known as: BGSU.

Initial development of a measure of religious coping among Hindus

Abstract: We developed and validated a measure that would comprehensively capture religious coping strategies used by Hindus in the United States (U.S.). Based on qualitative interviews with Hindus (N = 15) and existing religious coping measures, a Hindu religious coping scale was constructed. After a pilot test of this scale among Hindus in the Midwest (N = 42), a sample of Hindus across the U.S. (N = 164) completed the Hindu religious coping scale along with measures of mental health. Results indicated that religious coping was a salient construct for Hindus and related to better mental health. Empirical data revealed specific forms of religious coping that are characteristic of Hindu theology. Further, results of the factor analyses of the Hindu religious coping scale yielded three factors, “God-focused” religious coping, “Spirituality-focused” religious coping, and “Religious guilt, anger, and passivity.” Findings provided support for the reliability and validity of the Hindu religious coping scale. Implications for theory and practice were discussed. © 2003 Wiley Periodicals, Inc. J Comm Psychol 31: 607–628, 2003.

Communication security in internet of thing: preventive measure and avoid DDoS attack over IoT network

Abstract: The idea of Internet of Things (IoT) is implanting networked heterogeneous detectors into our daily life. It opens extra channels for information submission and remote control to our physical world. A significant feature of an IoT network is that it collects data from network edges. Moreover, human involvement for network and devices maintenance is greatly reduced, which suggests an IoT network need to be highly self-managed and self-secured. For the reason that the use of IoT is growing in many important fields, the security issues of IoT need to be properly addressed. Among all, Distributed Denial of Service (DDoS) is one of the most notorious attacking behaviors over network which interrupt and block genuine user requests by flooding the host server with huge number of requests using a group of zombie computers via geographically distributed internet connections. DDoS disrupts service by creating network congestion and disabling normal functions of network components, which is even more disruptive for IoT. In this paper, a lightweight defensive algorithm for DDoS attack over IoT network environment is proposed and tested against several scenarios to dissect the interactive communication among different types of network nodes.

The Effect of Music Training on Preschoolers' Spatial-Temporal Task Performance

Abstract: The purpose of this study was to investigate the effect of music training on preschoolers' Performance IQ (Wechsler Preschool and Primary Intelligence Scale-Revised, 1989). Preschoolers in the treatment group (N = 15) met weekly from October 1996 through April 1997. A Mann-Whitney test on Performance IQ (scaled) gain scores by group yielded U = 67, p =.059; a Mann-Whitney test on Performance IQ (raw) gain scores by group yielded U = 65, p =.049. Regressions of IQ gain scores on age showed significantly less gain for older children in the control group (N = 15). A regression analysis showed that the relationship of Performance IQ to age was not significant for the treatment group. Slopes intersected at age 3. For 3-year-olds in this study, an intellectually stimulating environment, per se, results in a gain in the ability to perform spatial-temporal tasks.

Analysis and convergence of a covolume method for the generalized Stokes problem

Abstract: We introduce a covolume or MAC-like method for approximating the generalized Stokes problem. Two grids are needed in the discretization; a triangular one for the contimlity equation and a quadrilateral one for the momentum equation. The velocity is approximated using nonconforming piecewise linears and the pressure piecewise constants. Error in the L 2 norm for the pressure and error in a mesh dependent H 1 norm as well as in the L 2 norm for the velocity are shown to be of first order, provided that the exact velocity is in H 2 and the true pressure in H I . We also introduce the concept of a network model into the discretized linear system so that an efficient pressure-recovering technique can be used to simplify a great deal the computational work involved in the augmented Lagrangian method. Given is a very general decomposition condition under which this technique is applicable to other fluid problems that can be formulated as a saddle-point problem.