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Institution

Kent State University

EducationKent, Ohio, United States
About: Kent State University is a education organization based out in Kent, Ohio, United States. It is known for research contribution in the topics: Liquid crystal & Population. The organization has 10897 authors who have published 24607 publications receiving 720309 citations. The organization is also known as: Kent State & KSU.


Papers
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Journal ArticleDOI
TL;DR: Structural equation path modeling indicated that exposure to terrorism was significantly related to greater loss and gain of psychosocial resources and to greater posttraumatic stress disorder (PTSD) and depressive symptoms.
Abstract: The authors conducted a large-scale study of terrorism in Israel via telephone surveys in September 2003 with 905 adult Jewish and Palestinian citizens of Israel (PCIs). Structural equation path modeling indicated that exposure to terrorism was significantly related to greater loss and gain of psychosocial resources and to greater posttraumatic stress disorder (PTSD) and depressive symptoms. Psychosocial resource loss and gain associated with terrorism were, in turn, significantly related to both greater PTSD and depressive symptoms. PCIs had significantly higher levels of PTSD and depressive symptoms than Jews. Further, PTSD symptoms in particular were related to greater authoritarian beliefs and ethnocentrism, suggesting how PTSD may lead to a self-protective style of defensive coping.

357 citations

Journal ArticleDOI
TL;DR: Pt/TiO(2) catalysts prepared with the assistance of NaOH showed higher HCHO oxidation activity than those without NaOH due to the introduction of additional surface hydroxyl groups, the enhanced adsorption capacity toward HCHO, and larger mesopores and macropores facilitating diffusion and transport of reactants and products.
Abstract: Pt/TiO2 catalysts with various Pt loadings (0.05–2 wt %) were prepared by a combined NaOH-assisted impregnation of titania with Pt precursor and NaBH4-reduction. The thermal catalytic activity was evaluated toward catalytic decomposition of formaldehyde (HCHO) vapor in the presence of toluene under ambient conditions. HCHO could be selectively oxidized into CO2 and H2O over Pt/TiO2 catalysts and toluene had no change. Pt/TiO2 catalysts prepared with the assistance of NaOH showed higher HCHO oxidation activity than those without NaOH due to the introduction of additional surface hydroxyl groups, the enhanced adsorption capacity toward HCHO, and larger mesopores and macropores facilitating diffusion and transport of reactants and products. The as-prepared Pt/TiO2 catalysts with an optimal Pt loading of 1 wt % exhibited high catalytic stability. Considering the versatile combination of noble-metal nanoparticles and supports, this work will provide new insights to the design of high-performance catalysts for ...

354 citations

Proceedings ArticleDOI
17 Aug 2005
TL;DR: The key requirements of ExScal, the corresponding design of the hardware/software platform and application, and some results of the authors' experiments are overviewed.
Abstract: Project ExScal (for extreme scale) fielded a 1000+ node wireless sensor network and a 200+ node peer-to-peer ad hoc network of 802.11 devices in a 13km by 300m remote area in Florida, USA during December 2004. In comparison with previous deployments, the ExScal application is relatively complex and its networks are the largest ones of either type fielded to date. In this paper, we overview the key requirements of ExScal, the corresponding design of the hardware/software platform and application, and some results of our experiments.

353 citations

Journal ArticleDOI
TL;DR: The redevelopment of one such hybrid scheme, the Spatial Synoptic Classification (SSC), originally developed in the mid-1990s is described, which can now produce weather-type classifications year-round, instead of only winter and summer.
Abstract: Synoptic weather-typing, or the classification of weather conditions into categories, is a useful tool for climate impact applications. Numerous procedures have been developed to accomplish this goal. Before the advent of high-speed computers, manual methods were most common; more recently, more automated methods have come into wide use. Both types of classification have shortcomings; manual methods are time consuming and difficult to reproduce, whereas automated methods may not produce easily interpretable results. Several recent methods have incorporated the advantages of both methodologies into a hybrid scheme. This paper describes the redevelopment of one such hybrid scheme, the Spatial Synoptic Classification (SSC). The SSC, originally developed in the mid-1990s, classifies each day at a location into one of six weather types, or a transition. It has been utilized for several applications, from climate trends to human health. Despite its utility, it has several shortcomings, most notably a lower-than-desired match percentage among adjacent stations and a framework that only allows for classification during winter and summer. The new SSC (SSC2) has been altered in several important ways. The most notable changes involve the procedure for selecting seed days, days that typify a particular weather type at a particular location. With the new procedures, the SSC can now produce weather-type classifications year-round, instead of only winter and summer. The spatial cohesiveness among stations has also been improved. The SSC has been expanded to include Canada, Alaska, and Hawaii in addition to the lower 48 US states. SSC calendars are now available for 327 stations with a mean length of 44.6 years, and are updated daily on a website. This paper also presents an important application of the redesigned SSC. It has been used in several heat-stress warning systems worldwide. The synoptic approach is considered to be superior to a traditional apparent temperature approach, as it considers more parameters in its holistic assessment. At each location, one or two of the weather types is associated with mortality levels significantly above the mean. Copyright  2002 Royal Meteorological Society.

352 citations

Journal ArticleDOI
TL;DR: The one-pot synthesis of alumina-supported metal oxides via self-assembly of a metal precursor and aluminum isopropoxide in the presence of triblock copolymer (as a structure directing agent) is described in detail for nickel oxide, representing an important step toward the facile and reproducible synthesis of ordered mesoporous aluminium-supported materials.
Abstract: The one-pot synthesis of alumina-supported metal oxides via self-assembly of a metal precursor and aluminum isopropoxide in the presence of triblock copolymer (as a structure directing agent) is described in detail for nickel oxide. The resulting mesoporous mixed metal oxides possess p6 mm hexagonal symmetry, well-developed mesoporosity, relatively high BET surface area, large pore widths, and crystalline pore walls. In comparison to pure alumina, nickel aluminum oxide samples exhibited larger mesopores and improved thermal stability. Also, long-range ordering of the aforementioned samples was observed for nickel molar percentages as high as 20%. The generality of the recipe used for the synthesis of mesoporous nickel aluminum oxide was demonstrated by preparation of other alumina-supported metal oxides such as MgO, CaO, TiO 2, and Cr 2O 3. This method represents an important step toward the facile and reproducible synthesis of ordered mesoporous alumina-supported materials for various applications where large and accessible pores with high loading of catalytically active metal oxides are needed.

350 citations


Authors

Showing all 11015 results

NameH-indexPapersCitations
Russel J. Reiter1691646121010
Marco Costa1461458105096
Jong-Sung Yu124105172637
Mietek Jaroniec12357179561
M. Cherney11857249933
Qiang Xu11758550151
Lee Stuart Barnby11649443490
Martin Knapp106106748518
Christopher Shaw9777152181
B. V.K.S. Potukuchi9619030763
Vahram Haroutunian9442438954
W. E. Moerner9247835121
Luciano Rezzolla9039426159
Bruce A. Roe8929576365
Susan L. Brantley8835825582
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202354
2022160
20211,121
20201,077
20191,005
20181,103