Decays of bottom mesons emitting tensor meson in final state using ISGW II model

In this paper, we investigate phenomenologically two-body weak decays of the bottom mesons emitting pseudoscalar/vector meson and a tensor meson. Form factors are obtained using the improved ISGW II model. Consequently, branching ratios for the CKM-favored and CKM-suppressed decays are calculated.Comment: 32 pages, to be published in Phys. Rev.

Wieldy Finger and Hand Motion Detection for Human Computer Interaction

We have developed a gesture based interface for human computer interaction under the research field of computer vision.Earlier system have used the costlier system devices to make an effective interaction with systems, instead we have worked on the web cam based gesture input system.Our goal was to propound lesser cost, wieldy, object detection technique using blobs for detection of fingers.And to give number of count of the same.In addition, we have also implemented the hand gesture recognition

Effects of Flavor Dependence on Weak Decays of J/psi and \Upsilon

We give the detailed analysis of effects of flavor dependence of average transverse quark momentum inside a meson on J/psi --> P and \Upsilon --> Bc transition form factors and two-body weak hadronic decays of J/psi and \Upsilon employing the factorization scheme. We predict the branching ratios of semileptonic and nonleptonic weak decays of J/psi and \Upsilon mesons in Cabibbo-angle-enhanced and Cabibbo-angle-suppressed modes.Comment: 27 pages, one figure and one sub section added, results and references change

Exploring Resource Efficiency Benchmarks for Environmental Sustainability

Successful environmental sustainability (ES) initiatives aim for simultaneous environmental and economic benefits. Benchmarking these initiatives must therefore account for environmental and economic outcomes. To this end, the authors propose to construct a cost-based resource efficiency measure for ES from reported financial data. This approach links the environmental and economic performance outcomes by extracting information from resource related expenses normalized by RevPAR (revenue per available room). Through exploratory factor analysis of an eight-year panel of 984 U.S. hotels, the authors identified t w o factors that drive resource efficiency in hotel operations, one of which is operations-centered and the other customer behavior-centered. This two-factor measure quantifies the weights that operations and customer behavior contribute to resource efficiency and measures the systematic variations across key hotel operating characteristics. Such resource efficiency benchmarks complement the practice-focused environmental management systems developed by individual hotel companies and guidelines proposed by government agencies such as the U.S. Environmental Protection Agency

Technology Readiness, Learning Goals, and eLearning: Searching for Synergy

More and more business schools are offering classes online or classes using a mix of face-to-face and online elements. In this article, we focus on how technology readiness and learning-goal orientation influence students’ preference toward these mixed classes. We conducted a large-scale survey to determine whether students who are technology ready would place higher utility on enrolling in mixed classes and/or whether there exists a participation bias such that students with low learning-goal orientation place higher utility on enrolling in mixed classes. We found that overall students who are more technology ready do place higher utility on enrolling in mixed classes, but that learning goal orientation does not influence this decision. We conclude with implications and recommendations for business schools that are interested in offering mixed classes

Pharmacists’ knowledge and perception of topical antibacterial drug dispensing in community pharmacy setting in Kedah, Malaysia

Purpose: To assess Pharmacists’ Perceptions and Experiences of Topical Antibacterial Drug Dispensing in Community Pharmacy Setting in Kedah State, Malaysia in order to minimize drug resistance issues.Methods: A cross-sectional study involving a pre-validated questionnaire was conducted in community pharmacies within Kedah State, Malaysia. Descriptive statistics and Spearman’s correlation coefficient were used for data analysis. The collected were analysed using statistical package for social sciences (SPSS) version 18.0.Results: The result shows that, 53.4 % of CPs in Kedah State perceived that topical antibacterial is not necessary for every topical bacterial infection. Fusidic acid was the most frequently dispensed topical antibacterial drug while superficial wound was reported to be the most frequently encountered topical bacterial infection. CPs (12.60 %) encountered antibacterial resistance cases but none reported them. The drug that had resistance issue was neomycin.Conclusion: CPs in Kedah State, Malaysia generally have the right perceptions on the dispensing of topical antibacterial drugs. However, their knowledge on the rational use of topical antibacterial drugs and vigilance on antibacterial resistance issue need improvement.Keywords: Topical antibacterial, Perception, Community pharmacists, Inappropriate antibiotic us

Smart-phone based spatio-temporal sensing for annotated transit map generation

City transit maps are one of the important resources for public navigation in today's digital world. However, the availability of transit maps for many developing countries is very limited, primarily due to the various socio-economic factors that drive the private operated and partially regulated transport services. Public transports at these cities are marred with many factors such as uncoordinated waiting time at bus stoppages, crowding in the bus, sporadic road conditions etc., which also need to be annotated so that commuters can take informed decision. Interestingly, many of these factors are spatio-temporal in nature. In this paper, we develop CityMap, a system to automatically extract transit routes along with their eccentricities from spatio-temporal crowdsensed data collected via commuters' smart-phones. We apply a learning based methodology coupled with a feature selection mechanism to filter out the necessary information from raw smart-phone sensor data with minimal user engagement and drain of batt

Unsupervised annotated city traffic map generation

Public bus services in many cities in countries like India are controlled by private owners, hence, building up a database for all the bus routes is non-trivial. In this paper, we leverage smart-phone based sensing to crowdsource and populate the information repository for bus routes in a city. We have developed an intelligent data logging module for smartphones and a server side processing mechanism to extract roads and bus routes information. From a 3 month long study involving more than 30 volunteers in 3 different cities in India, we found that the developed system, CrowdMap, can annotate bus routes wit

ComfRide: A smartphone based system for comfortable public transport recommendation

Passenger comfort is a major factor influencing a commuter's decision to avail public transport. Existing studies suggest that factors like overcrowding, jerkiness, traffic congestion etc. correlate well to passenger's (dis)comfort. An online survey conducted with more than 300 participants from 12 different countries reveals that different personalized and context dependent factors influence passenger comfort during a travel by public transport. Leveraging on these findings, we identify correlations between comfort level and these dynamic parameters, and implement a smartphone based application, ComfRide, which recommends t