Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Top Management Team Characteristics on BPD Performance

Based on “upper echelons theory”, this paper investigates the relation between top management team composition and BPD performance. For top management team characteristics, we employ age, level of education, background of education, gender, and functional background, while for measured the BPD performance we employ return on asset (ROA), return on equity (ROE), capital adequacy ratio (CAR), net interest margin (NIM), loan to deposit ratio (LDR), non-performing loan (NPL) and operation expenses to operation income (BOPO). The results show that all characteristics have positive significant influences on BPD performance.
Does Hiring a Local Industry Specialist Auditor Matter to Nonprofit Organizations?

We extend both the U.S. and European nonprofit auditor choice literature by examining the determinants as well as consequences of local industry specialist auditor choice within the nonprofit sector. In our determinants models, we find that local industry specialist auditors are associated with higher governance quality, poorer financial health, and greater complexity. In our consequences models, we find robust evidence that nonprofits audited by non-Big 4 local industry specialist auditors have shorter audit report lag and see more future direct donations than nonprofits audited by nonspecialist auditors and Big 4 auditors. Additional findings and implications are discussed.
THE IMPACT OF WEBSITE DESIGN QUALITY, SERVICE QUALITY, AND ENJOYMENT ON REPURCHASE INTENTION THROUGH SATISFACTION AND TRUST AT ZALORA

The advance of technology creates the new business trend by using internet. Zalora.co.id is one of the e-commerce uses website and application to deliver fashion products to the customers. The quality of website and application is the key to build the trust and satisfaction to the customers. Zalora.co.id needs a strategy to maintain the service quality and enjoyment through its website and application in order to keep and increase the customer repurchase intention on zalora.co.id. This study aims to analyze the influence of factors of repurchase intention on zalora.co.id. Website design quality, service quality and enjoyment as independent variables and repurchase intention as dependent variable. This research uses satisfaction and trust as intervening variables. Sample of this research is the application users and visitors' Zalora website in 2016 who had made a minimum of two purchases. The sampling method in this research is judgment sampling. The analysis technique used is Structural Equation Modeling – PLS. The results of this study show website design quality, service quality and enjoyment have positive effect on repurchase intention. The indirect influence of website design quality through satisfaction and trust has a negative effect.
Market of educational services in conditions of globalization

The purpose of this study is to analyze the General state of the market of educational services in the context of globalization. The following methods were used for the research: the study of scientific and methodological literature and legal acts; content analysis of scientific sources; monitoring of publications; mathematical processing and tabular presentation of literary data. The results are of great practical importance: identified important trends in the market of educational services, identified weak players in the market of educational services in the context of globalization. The results can be used to study problem areas in East European and South American universities.
Are Beneficiaries of Bank of Agriculture (BOA) Loan Scheme, Technically Efficient in North Central Nigeria

This study investigates the impact of profitability and technical efficiency among rice farming households beneficiaries of BOA loan scheme in Benue state. Primary and secondary data were used while methods employed for analyzing data include; descriptive statistics, gross margin analysis and stochastic frontier production model. Results from descriptive statistics shows that a good number of farmers had formal education despite their years of experience and farmers were operating on 1-3 hectares of land due to inadequate loan to fund large scale production. Rice farmers after becoming beneficiaries of BOA loan scheme were found to be operating at lower technically efficiency as compared to when they were not beneficiaries of BOA loan scheme. The study concluded that, access to loan is not a guarantee for higher technical efficiency; hence borrowing (a mark of access to loan) may allow farmers to respond to households needs rather than input market to increase productivity. Based on the findings, farm – specific factors such as education needs to be sustained, this would enable farmers make better technical decision on how to allocate production input effectively.
An Evaluation of the Performance of Nigeria Agricultural Insurance Scheme in Kogi State, Nigeria

The study evaluated the performance of Nigeria Agricultural Insurance Scheme in Kogi State, Nigeria. A multi-stage random sampling technique was used to select 300 insured farmers. Primary and secondary data were used for the study. Data obtained were subjected to statistical analysis using both descriptive and inferential statistical tools. The services provided by the scheme include; subsidized livestock, subsidized crops, commercial livestock, commercial crops, multiple cover, motor liability, fire, and special peril, general accident, engineering and bonds, and special risks. However, the study showed that insured farmers in the state were only engaged in subsidized crops (94.7%), subsidized livestock (44.3%), multiple covers (17.7%), and commercial crops (1.7%). The findings further showed that 92.7% of the insured farmers used the scheme occasionally. Commercial banks (99.3%) and cooperative societies (92%) were the major sources of information on agricultural insurance among the insured farmers. The study showed an improvement in the income of insured farmers after the scheme, though the marginal increase was not significant. Conclusively, the insurance scheme has not brought about the desired increase in farmers’ income.
Assessing the impact of supply-side abortion regulations in the United States

Abortion rates are at historic lows in the United States while restrictive abortion policies increase contemporaneously, prompting questions about how much of the decline in abortion is attributable to decreased need versus decreased access. State-level abortion restrictions encompass a mix of "demand-side" policies that have a theoretically direct effect on women, and "supply-side" policies (often collectively referred to as targeted regulation of abortion providers (TRAP) laws), which may require providers to adhere to a state's regulatory guidelines for ambulatory surgical centers (ASCs) or secure admitting privileges at a nearby hospital. Supply side restrictions may become serious barriers to continued service provision, particularly in rural areas and locations where hospitals are unlikely to extend admitting privileges to abortion providers. Despite the recent popularity of TRAP laws, evidence is lacking on their impact on abortion rates and related outcomes. In the first manuscript, I present a systematic review of literature on supply-side abortion policies and women's health outcomes. This review yielded two key findings: first, there is little rigorous quantitative evidence on this relationship, and second, certain TRAP laws – specifically admitting privilege and ASC requirements – may be associated with a decrease in abortion rates, but existing evidence does not permit consensus on the overall impact. The paucity of evidence on TRAP laws is likely due in large part to a lack of high-quality, longitudinal data on policy shifts: while several cross-sectional data sources exist, these sources do not provide information on policy changes over time. The second manuscript in this thesis describes the compilation of a longitudinal database of supply-side shifts. These data feed directly into the third manuscript, where I conduct a difference-in-differences analysis to assess the average causal effect of two specific TRAP laws (ASC and admitting privilege laws) on abortion rates. My findings do not suggest a meaningful effect of the enforcement of either policy on abortion rates. The fourth manuscript explicitly examines the association between TRAP enforcement and provider availability. This relationship is often assumed to be strong, but given contemporary abortion trends there is likely some level of provider loss that is attributable to decreased need for abortion. I attempt to disentangle these phenomena and quantify the excess decline associated with TRAP enforcement. Using provider data from two periods (2008 to 2010 and 2011 to 2014) and the aforementioned policy data, I find that TRAP enforcement was associated with an excess clinic decline of roughly 15% as of 2014. While I could not conclude that this change was statistically different from zero, this analysis offers preliminary evidence of the average impact of TRAP enforcement on clinic and provider availability. In sum, the collective findings presented in this work offer important new information on the effect of TRAP laws on provider availability…
THE DEVELOPMENT OF LEARNING SETS AND RESEARCH METHODOLOGY MODULE USING PROBLEM BASED LEARNING FOR ACCOUNTING EDUCATION STUDENTS

Improving the learning process is very important for every lecturer by implement innovative learning methods or media. The purpose of this study is to develop a research methodology learning instruction and module based of problem based learning for accounting education students. This research applied research and development design in the research methodology course in Economics Education (Accounting) Department, Faculty Of Economics, Semarang State University. Data analysis was used to test the products through expert opinion (lecturer) and the feedback from students. The results show have been produced and tested two products, namely units lecture event and accounting education research methodology modules that implement problem-based learning methods. Some experts and students give positive feedback about the products. Keywords: problem based learning, modul, accounting education research methodology
Bank Quality, Loan Demand and Market Discipline

In this paper, the disciplining role of borrowers towards risky banks is examined in a multi-period setting. In the theoretical model, it is shown that borrowers choose to pay high interest rates to the banks that are perceived as less risky, in order to minimize possible liquidity problems. We hypothesize that borrowers can punish banks with deteriorating fundamentals by reducing their loan demand. Using panel data from Turkish private commercial banks, we find that as the riskiness of a bank increases, its loan demand declines significantly. This disciplinary reaction is shown to be more effective especially towards small banks.
Effect of Capacity Building on Productivity Alcoholic Beverage Companies

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/license s/by/4.0) ABSTRACT The fast moving pace of business in Nigeria seems to have caught-up with the alcoholic beverage sector of the country presumed before now to be controlled by two players. However, with the supply side of value-adding employees drying-up as our universities are being accused of churning-out poorly developed graduates, the demand side may have prompted stiff jostling or even poaching for the few managerial talents available. As a result, looking inwards through capacity building may present a viable way out of the doldrums for all concerned. To address the foregoing challenges, the study therefore examined the effect of capacity building on productivity using the two leading players in the alcoholic beverage manufacturing sector (Nigeria Breweries Plc., Lagos and Guinness Nigeria Plc) as case study. In line with extant literature capacity building which constituted the independent variable in the study was operationalized in terms of on-the-job training, off-the-job training, technological knowledge acquisition and organisational mentorship as its components. Survey design, systematic and stratified sampling techniques were employed to draw a sample of three hundred and sixty (360) respondents comprising 212 (58.9%) males and 148 (41.1%) females who participated in the study. Data was collected using validated scales designed for the purpose of this study. Five (5) hypotheses were formulated and tested using simple and multiple regression analysis namely that there is no significant effectss of onthe-job training, off-the-job training, technological knowledge acquisition and organisational mentorship on productivity and that there is no significant effect of capacity building on productivity. The results showed that the four dimensions of the independent variable (i.e. on-the-job training, off-the-job training, technological knowledge acquisition and organisational mentorship) effected significantly on productivity in the study population. Furthermore, the multiple regression analysis conducted confirmed these results as capacity building was also found to have effected significantly on productivity. These findings support the notion that enabling employees with the right blend of skills, knowledge, expertise and experience would be in the firm’s best productive interests. The study therefore recommended that as the proverbial geese that lay the golden egg, employees should be exposed to on-the-job training, off-the-job training, technological knowledge and organisational mentorship.
Reuse API (Active Pharmaceutical Ingredients) from Expired Dosage form

Drugs plays important role in our day today activities in order to prevent diseases and their treatment. A mythology is famous among people that drugs become toxic and dangerous after expire date but actually it’s not like that, there is simple decrease in the therapeutic effectiveness of drug dosage forms. But after expire date we cannot use them and throw them without knowing that these drugs have lethal side effects on living organisms present around us. Reuse of expired drugs that are present around us because these drugs are not safe for living organisms. I design a procedure through which we can extract API from expired drugs and reuse to synthesize such chemicals or compounds which are useful as disinfectants. In this I extract aspirin from expired drug and further this converted into salicylic acid which further undergo decarboxylation to give phenol which is an effective bacteriostatic and bactericidal. Through this we design a proper disposal method for expired aspirin tablets. Aspirin tablets when triturates and react with 0/1 M solution of fe(NO3)3 it gives brick red color . Where acetyl salicylic acid react with 0.1 M Fe(NO3)3 it gives yellow color. In another hand when we react salicylic acid with same reagent it gives purple color. These identification tests help me to know that my project is in right track. (1)
Factors influencing interest of Slovak consumers' in organic dairy products

The aim of the article is to analyse the dependency of selected factors (age category, level of income and gender) on consumers' willingness to buy organic dairy products. The primary research based on the electronic interview survey carried out on the sample of 203 Slovak respondents of all ages, in different social situations and with different views on the issue. The questionnaire consisted of seven sorting questions and six questions addressed consumers' perception of organic dairy products and the reasons for their purchase or rejection. For evaluation the Chi square test of square contingency was used. Results were sorted into tree parts. The aim of the firts part of research was to find out whether there is a dependency between the age category of the respondents and whether they are buying organic dairy products. Results showed that the age category of the respondents and purchase of organic dairy products are independent. The second part of the research based on the examination of the dependency between the level of income of the respondents and their willingness to pay for organic products. In this case we confirmed the dependency between the customers' average income per month and their willingness to pay for organic dairy products. Last but not least, the dependency between the reasons that would discourage consumers from buying organic dairy products and their gender was examined. The results of analysis clearly showed that these two variables are independent. Despite generally persisted opinions that food of daily consumption in bio quality (organic) is mainly bought by women of specific age categories (joung independent woman after graduation, mothers on maternity leave) we can confirm just the significance of the impact of customers' average income per month on their willingness to pay for these high quality and therefore expensive products.
Tracing Genres Through Organizations A Sociocultural Approach To Information Design

Thank you very much for reading tracing genres through organizations a sociocultural approach to information design. As you may know, people have search numerous times for their favorite novels like this tracing genres through organizations a sociocultural approach to information design, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some infectious bugs inside their laptop.
Disagreement Measure Based Ensemble of Extreme Learning Machine for Gene Expression Data Classification

Selective ensemble learning has become a powerful tool for biological information analysis of gene expression data.In order to mining gene expression data better,we use ensemble of Extreme Learning Machine(ELM) to overcome the shortage that a single ELM is unstable in data classification.In this paper,we propose an algorithm,which is the dissimilarity ensemble based on disagreement measure of Extreme Learning Machines(D-D-ELM). First,we judge the dissimilarity of Extreme Learning Machines with disagreement measure.Then we remove the corresponding ELMs based on the average classification accuracy.At last,the rest ELMs are grouped into an ensemble classifier by the strategy of majority voting.This algorithm is applied on the data of gene expression Breast,Leukemia,Colon,Heart.The theoretical analysis and experiment are given and the statistical analysis on the experimental results demonstrates that D-D-ELM can achieve better classification accuracy with less number of ELMs.
Using Spss An Interactive Hands On Approach

Thank you very much for reading using spss an interactive hands on approach. As you may know, people have search hundreds times for their chosen books like this using spss an interactive hands on approach, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some harmful bugs inside their laptop. using spss an interactive hands on approach is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the using spss an interactive hands on approach is universally compatible with any devices to read.
Application of rasch measurement model for reliability measurement instrument in vector calculus course

Competence in mathematical knowledge is of prime importance to most if not all tertiary course, especially for engineering related courses. Mastery in mathematical thinking and problem solving skills is a must for engineers and engineering students, in which mathematics is the key element to engineering and research studies. Most of undergraduate courses in higher institutions in Malaysia use final exam as measurement instrument to measure students’ academic achievement. Good constructed final exam questions/items would be able to measure both students’ academic achievement and their generic skills. This study used Rasch Measurement Model to evaluate the reliability final exam questions for KKKQ1124 Mathematics Engineering I (Vector Calculus) course in Faculty of Engineering and Built Environment (FKAB), Universiti Kebangsaan Malaysia (UKM). The items in the examination paper were studied and items that do not measure up to expectations were identified. Analysis on questions/items gave a good indication how a wellconstructed questions/items will provide useful information about a student's ability. The results of this study found no exam questions/items which were identified as unsuitable (misfit), but the revision of the exam questions KQ1124 must be made on the level of difficulty of the questions/items. In addition, the Rasch Measurement Model shows that the performance of the students of Year One, is lower than expected based on the lower score of Individuals Min Items.
Classifiers are for specification: Complementary Functions for Sortal and General Classifiers in Cantonese and Mandarin

Pour decrire le film de Chafe "Histoires de poires", on utilise cinq fois plus de classificateurs sortaux {tiuh fl^ 'objet oblong') en cantonais qu'en mandarin. 40 % des noms apparaissent sans classificateur. Seulement 18 % des noms en cantonais et 3 % en mandarin prennent des classificateurs sortaux. Les histoires sont quasiment identiques. Les classificateurs sont revelateurs de differences au niveau grammatical et non au niveau cognitif.
DESIGN AND EVALUATION OF ACOUSTIC AND LANGUAGE MODELS FOR LARGE SCALE TELEPHONE

This paper describes the specication, design and development phases of two widely used telephone services based on automatic speech recognition. The eort spent for evaluating and tuning these services will be discussed in detail. In developing the rst service, mainly based on the recognition of \alphanumeric" sequences, a signican t part of the work consisted in rening the acoustic models. To increase recognition accuracy we adopted algorithms and methods consolidated in the past over broadcast news transcription tasks. A signican t result shows that the use of task specic context dependent phone models reduces the word error rate by about 40% relative to using context independent phone models. Note that the latter result was achieved over a small vocabulary task, signican tly dieren t from those generally used in broadcast news transcription. We also investigated both unsupervised and supervised training procedures. Moreover, we studied a novel partly supervised technique that allows us to select in some
Are Probabilism and Special Relativity Compatible?

Are probabilism and special relativity compatible? Dieks argues that they are. But the possible universe he specifies, designed to exemplify both probabilism and special relativity, either incorporates a universal "now" (and is thus incompatible with special relativity), or amounts to a many world universe (which I have discussed, and rejected as too ad hoc to be taken seriously), or fails to have any one definite overall Minkowskian-type space-time structure (and thus differs drastically from special relativity as ordinarily understood). Probabilism and special relativity appear to be incompatible after all. What is at issue is not whether "the flow of time" can be reconciled with special relativity, but rather whether explicitly probabilistic versions of quantum theory should be rejected because of incompatibility with special relativity.