PENGARUH KUALITAS PELAYANAN DAN ATRIBUT PRODUK TERHADAP KEPUASAN NASABAH BANK (Studi Perbandingan Antara Nasabah Tabungan BRITAMA Dengan Nasabah BNI Taplus Di BRI Kantor Unit Pulogebang dan BNI Kantor Cabang Unit Pasar Klender)

ABSTRACT Ben Avad Ernest, 2014; The Impact of Service Quality and Product Attributes on Bank Customer Satisfaction (Comparative Study Between Britama Saving’s Customer with BNI Taplus’s Customer at BRI Pulogebang’s Unit Office and BNI Pasar Klender’s Unit Branch Office). The purpose of this study was to: 1) determine the description of service quality, product attributes and customer satisfaction, 2) examine the impact of service quality on customer satisfaction, 3) examine the impact of product attributes on customer satisfaction, 4) examine the impact of service quality and product attributes on customer satisfaction simultaneously, and 5) compared the impact of service quality and product attributes on customer satisfaction simultaneously saving account holders in BRI Pulogebang Unit and BNI Branch Office Unit Klender. The population was customers of BRI Pulogebang Unit Office and have been a BRITAMA saving’s customer and had been or still become a customer of BNI Taplus at least 5 years as many as 460 customers. The number of samples was determined by Slovin formula as many as 214 respondents. The results of hypothesis testing showed: (1) quality of service (X) significant effect partially on customer satisfaction (Y) with a significance value 0.000 <0.05, (2) product attributes (X21 ) significant effect partially on customer satisfaction (Y) with the significance value 0.006 <0.05, and (3) quality of service (X) and product attributes (X) significant effect simultaneously on customer satisfaction (Y) with a significance value 0.000 <0.05. Based on table of coefficients determination (R2large impact percentage of variation of customer satisfaction (Y) which can beexplained by the variation of two independent variables, namely the quality of service (X1) and product attributes (X) was 77.4% and the rest at 100% -77.4% =22.6% explained by other variables outside of this study. Keywords : service quality, product attributes, customer satisfactio

May Irwin\u27s New Coon Song Hits / music by Ernest Hogan; words by Ben Harney

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MetabR: an R script for linear model analysis of quantitative metabolomic data

Background Metabolomics is an emerging high-throughput approach to systems biology, but data analysis tools are lacking compared to other systems level disciplines such as transcriptomics and proteomics. Metabolomic data analysis requires a normalization step to remove systematic effects of confounding variables on metabolite measurements. Current tools may not correctly normalize every metabolite when the relationships between each metabolite quantity and fixed-effect confounding variables are different, or for the effects of random-effect confounding variables. Linear mixed models, an established methodology in the microarray literature, offer a standardized and flexible approach for removing the effects of fixed- and random-effect confounding variables from metabolomic data. Findings Here we present a simple menu-driven program, “MetabR”, designed to aid researchers with no programming background in statistical analysis of metabolomic data. Written in the open-source statistical programming language R, MetabR implements linear mixed models to normalize metabolomic data and analysis of variance (ANOVA) to test treatment differences. MetabR exports normalized data, checks statistical model assumptions, identifies differentially abundant metabolites, and produces output files to help with data interpretation. Example data are provided to illustrate normalization for common confounding variables and to demonstrate the utility of the MetabR program. Conclusions We developed MetabR as a simple and user-friendly tool for implementing linear mixed model-based normalization and statistical analysis of targeted metabolomic data, which helps to fill a lack of available data analysis tools in this field. The program, user guide, example data, and any future news or updates related to the program may be found at http://metabr.r-forge.r-project.org

MetabR: an R script for linear model analysis of quantitative metabolomic data

Background Metabolomics is an emerging high-throughput approach to systems biology, but data analysis tools are lacking compared to other systems level disciplines such as transcriptomics and proteomics. Metabolomic data analysis requires a normalization step to remove systematic effects of confounding variables on metabolite measurements. Current tools may not correctly normalize every metabolite when the relationships between each metabolite quantity and fixed-effect confounding variables are different, or for the effects of random-effect confounding variables. Linear mixed models, an established methodology in the microarray literature, offer a standardized and flexible approach for removing the effects of fixed- and random-effect confounding variables from metabolomic data. Findings Here we present a simple menu-driven program, “MetabR”, designed to aid researchers with no programming background in statistical analysis of metabolomic data. Written in the open-source statistical programming language R, MetabR implements linear mixed models to normalize metabolomic data and analysis of variance (ANOVA) to test treatment differences. MetabR exports normalized data, checks statistical model assumptions, identifies differentially abundant metabolites, and produces output files to help with data interpretation. Example data are provided to illustrate normalization for common confounding variables and to demonstrate the utility of the MetabR program. Conclusions We developed MetabR as a simple and user-friendly tool for implementing linear mixed model-based normalization and statistical analysis of targeted metabolomic data, which helps to fill a lack of available data analysis tools in this field. The program, user guide, example data, and any future news or updates related to the program may be found at http://metabr.r-forge.r-project.org/ webcite

Pillars of Growth in Nebraska’s Non-Metropolitan Economy

Table of Contents About the Authors.......................................................................................................................................1 Executive Summary ....................................................................................................................................2 Chapter 1: Project Scope and Purpose .........................................................................................................9 Chapter 2: Manufacturing ..........................................................................................................................20 Chapter 3: Agriculture ...............................................................................................................................34 Chapter 4: Tourism ...................................................................................................................................47 Chapter 5: Trucking ..................................................................................................................................57 Chapter 6: Professional Services ...............................................................................................................70 Chapter 7: The Information Industry .........................................................................................................83 Chapter 8: Conclusion...............................................................................................................................91 References .........................................................................................................................................10

QCD and SUSY-QCD corrections to the Three-Body Decay of the Charged Higgs Boson

The ${\cal O}(\alpha_s)$ QCD corrections to the three-body decay width of the charged Higgs $\Gamma$($H^+\to W^+b\bar{b}$) are discussed in the MSSM model. Our calculations indicate that the standard QCD corrections to the three-body decay mode raise the width by about 12% and the supersymmetric QCD corrections(due to $\tilde{g}, \tilde{t}, \tilde{b}$ exchanges) can be comparable to or even larger than the standard QCD corrctions in some regions of the supersymmetric parameter space. This is mainly due to the effect of large left-right mixing of stop($\tilde{t}$). It could significantly affect the phenomenology of the $H^+$ search.Comment: 14 pages, 14figure

Antimicrobial Activity of Metals and Metalloids

Competition shapes evolution. Toxic metals and metalloids have exerted selective pressure on life since the rise of the first organisms on the Earth, which has led to the evolution and acquisition of resistance mechanisms against them, as well as mechanisms to weaponize them. Microorganisms exploit antimicrobial metals and metalloids to gain competitive advantage over other members of microbial communities. This exerts a strong selective pressure that drives evolution of resistance. This review describes, with a focus on arsenic and copper, how microorganisms exploit metals and metalloids for predation and how metal- and metalloid-dependent predation may have been a driving force for evolution of microbial resistance against metals and metalloids.BFU2016-75425-P (70% FEDER), PID2020-112634GB-I0

Integration of multiple geospatial applications and intelligence for responding to COVID-19 in Ghana

Objective: We describe the use of integrated geospatial applications for the provision of access to timely and accurate data on samples, visualisation of Spatio-temporal patterns of cases and effective communication between field sample collectors, testing laboratories, Regional Health directors and Government Decision Makers.Design: This study describes how an integrated geospatial platform based on case location and intelligence was developed and used for effective COVID-19 response during the initial stages of COVID-19 in Ghana.Data Source: Collector for ArcGIS, ArcGIS Survey123Main outcome measure: successful development and deployment of integrated geospatial applications and analytics.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Results: The Collector for ArcGIS app was customised to collect COVID-19 positive cases location information. Survey 123 was introduced as a COVID-19 contact tracing application to digitise the case-based forms and provide real-time results from the laboratories to GHS and other stakeholders. The laboratory backend allowed the testing laboratories access to specific information about each patient (sample) collected by the fieldworkers. The regional supervisors’ backend web application provided accessing test results for confidentiality and timely communication of results.Conclusion: Geospatial platforms were successfully established in Ghana to provide timely results to Regional Health Directors and Government decision-makers. This helped to improve the timeliness of response and contact tracing at the district level

Prednisone treatment of elderly-onset rheumatoid arthritis: Disease activity and bone mass in comparison with chloroquine treatment

Objective. Prednisone is frequently used in the treatment of elderly-onset rheumatoid arthritis (RA), but the balance between efficacy and toxicity, including the effect on bone mass, has not been investigated in long-term studies. This prospective, randomized study was undertaken to compare disease activity and bone mass during long-term treatment with prednisone versus chloroquine in this patient population. Methods. Patients with active RA diagnosed at age ≥ 60 were randomized to receive prednisone (15 mg/day for 1 month, with the dosage tapered as low as possible thereafter) (n = 28) or chloroquine (n = 28). Patients who did not show a response received other second-line drugs as an adjunct to prednisone or as a replacement for chloroquine. Bone mass was measured by dual-energy x-ray absorptiometry. The study duration was 2 years. Results. During the 2 years, treatment with other second-line drugs was needed for 12 patients in the prednisone group (43%) and 8 in the chloroquine group (29%). Functional capacity and disease activity improved significantly in both groups and did not differ significantly between the groups, except for a greater improvement in the prednisone group at 1 month. Radiographic scores for joint destruction progressed similarly in both groups. There was a nonsignificant excess bone loss of 1.8% in the spine and 1.5% in the hip in the prednisone group, compared with the chloroquine group. Conclusion. Neither treatment was entirely satisfactory since a significant number of patients needed an additional second-line drug over the 2-year period