Relationship between musculoskeletal symptoms and ergonomic risk factors among office workers

This cross-sectional study aimed to identify the prevalence of musculoskeletal disorders, ergonomic risk levels, and identify ergonomic factors in computer workstation. A questionnaire-based interview and painself report form of the workers were collected among 76 office workers using Nordic Musculoskeletal Questionnaire (NMQ) and direct observation using Rapid Office Strain Assessment (ROSA) to determine ergonomic risks. The mean age for men was 37.0 (SD = 9.4) and women was 34.3 (SD = 8.7). While for the total mean number of working experience was 10.0 (SD = 7.7). The highest prevalence rate of musculoskeletal symptoms among office workers were in the lower back (53.9%), neck region while women had 58.6% musculoskeletal pain on the shoulder region over the last 12 months. From logistic regression analysis, chair height score and back support score were significantly associated with low back pain

Efficiency determinants of technology transfer offices : empirical analysis and correlation with innovation policies in Portugal and Switzerland

Tese de mestrado. Inovação e Empreendedorismo Tecnológico. Faculdade de Engenharia. Universidade do Porto. 200

The 1991/92 graduate student researchers program, including the underrepresented minority focus component

The Graduate Student Research Program (GSRP) was expanded in 1987 to include the Underrepresented Minority Focus Component (UMFC). This program was designed to increase minority participation in graduate study and research, and ultimately, in space science and aerospace technology careers. This booklet presents the areas of research activities at NASA facilities for the GSRP and summarizes and presents the objectives of the UMFC

University of Windsor Graduate Calendar 2022 Spring

https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1024/thumbnail.jp

University of Windsor Graduate Calendar 2021 Fall

https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1022/thumbnail.jp

RESOURCE CHARACTERIZATION AND QUANTIFICATION OF NATURAL GAS-HYDRATE AND ASSOCIATED FREE-GAS ACCUMULATIONS IN THE PRUDHOE BAY - KUPARUK RIVER AREA ON THE NORTH SLOPE OF ALASKA

Interim results are presented from the project designed to characterize, quantify, and determine the commercial feasibility of Alaska North Slope (ANS) gas-hydrate and associated free-gas resources in the Prudhoe Bay Unit (PBU), Kuparuk River Unit (KRU), and Milne Point Unit (MPU) areas. This collaborative research will provide practical input to reservoir and economic models, determine the technical feasibility of gas hydrate production, and influence future exploration and field extension of this potential ANS resource. The large magnitude of unconventional in-place gas (40-100 TCF) and conventional ANS gas commercialization evaluation creates industry-DOE alignment to assess this potential resource. This region uniquely combines known gas hydrate presence and existing production infrastructure. Many technical, economical, environmental, and safety issues require resolution before enabling gas hydrate commercial production. Gas hydrate energy resource potential has been studied for nearly three decades. However, this knowledge has not been applied to practical ANS gas hydrate resource development. ANS gas hydrate and associated free gas reservoirs are being studied to determine reservoir extent, stratigraphy, structure, continuity, quality, variability, and geophysical and petrophysical property distribution. Phase 1 will characterize reservoirs, lead to recoverable reserve and commercial potential estimates, and define procedures for gas hydrate drilling, data acquisition, completion, and production. Phases 2 and 3 will integrate well, core, log, and long-term production test data from additional wells, if justified by results from prior phases. The project could lead to future ANS gas hydrate pilot development. This project will help solve technical and economic issues to enable government and industry to make informed decisions regarding future commercialization of unconventional gas-hydrate resources

Gene expression programming approach to cost estimation formulation for utility projects

This article utilizes gene expression programming (GEP) technique to develop a prediction model in order to automate estimating the construction cost of water and sewer replacement/rehabilitation projects. A database gathered for developing the model was established on the basis of data related to 210 actual water and sewer projects obtained from the City of San Diego, California, USA. To verify the predictability of the GEP model, it was examined to estimate the cost of the projects that were not included in the modelling process. Sensitivity analysis technique and professional experiences were employed to determine the contributions of the qualitative factors and quantifiable parameters affecting the cost estimate. The proposed model with correlation coefficient of 0.8467 is adequately capable of estimating the cost of water and sewer replacement/rehabilitation projects. The GEP-based design equation can easily be used for predesign purposes to help allocate budgets and available limited resources effectively