Miracle-dz/UniFAR-FTUs huggingface dataset:
How Do Nutritional Warning Labels Affect Prices?

Obesity is increasing worldwide, and in many countries, the problem is particularly serious among lower-income groups. Front-of-pack nutritional warning labels are a prominent regulatory tool to fight obesity and have been implemented or are currently being debated in many countries. Existing studies document that warning labels incentivize consumers to substitute away from unhealthy products. However, not much is known about equilibrium price changes in response to consumers’ utility for warning labels. Using household purchase data in the cereal category, this article studies the adjustments of prices after the mandatory introduction of warning labels in Chile. The authors develop a model showing that warning labels lead to higher prices of labeled cereals, as is also observed in data. In contrast, prices of unlabeled products tend to drop or at least increase less, incentivizing price-sensitive consumers to remain in the category. The authors decompose postlabeling market share adjustments into a pure label effect that fixes prices at initial levels after regulation and a total effect that accounts for price reoptimizations. Their findings point to self-enforcing effects of a warning label regulation as the price adjustments amplify policy makers' goal of reducing unhealthy food intake, especially because market forces incentivize low-income segments to choose healthier alternatives.
Asset Liability Management and Performance of Listed Deposit Money Banks in Nigeria

The study examines the impact of Asset Liability Management (ALM) on financial performance of deposit money banks in Nigeria using time series annual data from 2005-2018. Data on asset liability management was proxied with loan and advance, non-performing loan, demand deposit and borrowing while performance was proxied with return on asset and return on investment. Ex-post facto research design was used for the study. Data from audited annual reports of fourteen listed deposit money banks were used and the data were analyzed using panel data regression analysis. The study found that asset liability management exerts both positive and negative effect on return on asset and return on investment of listed deposit money banks in Nigeria. It further revealed that loan and advance and bank size have positive effect on return on asset while, non-performing loan exhibit negative effect on return on asset of deposit money banks in Nigeria. The study also found that demand deposit, borrowing and bank size exerts positive effect on return on investment of deposit money banks while, increase in bank size exhibits negative effect on return on investment of deposit money banks in Nigeria. The study concludes that adequate attention must be placed on loan and advance, non-performing loan, demand deposit and borrowings of deposit money banks in Nigeria to facilitate and guarantee better asset liability management. The study therefore recommends that a comprehensive Asset Liability Management policy framework should be put in place by every deposit money banks which should be adequately driven by a very dynamic and proactive asset liability management committee (ALCO) constituted by the board with specific roles of regularly probing the appropriate mix of assets and liabilities that maximizes banks profitability so as to consistently enhance performance and create value for the shareholders.
Implementing online questionnaires and surveys by using mobile applications

Online questionnaires and surveys are one of the most efficient methods that are used by people all around the world for statistics, to ask questions and to evaluate something; however, this is because of its benefits, like reducing time, getting real answers apart from manipulation or fake results, and it is easy for everyone to use. There are a lot of online survey forms found on Google and using these e-forms are easy; all that one has to do is open the site, register through email and then choose the type of survey one wants to fill in. However, despite the plurality of e-forms, it is essential for companies to have special forms that are relevant to office work and the nature of work conducted by the companies; the forms should also be specific to be used by the companies’ managers and employees. The aim of this study is to create an online questionnaires and surveys website that is specifically to be used by companies. This website makes the work of the companies more efficient and faster; so if they want to evaluate the performance of anything or ask the employees about something or to vote, they can easily use our new website. Keywords: Online application, questionnaires and surveys, NetBeans.
When Should Retirees Tap Their Home Equity?

This paper studies a household’s optimal demand for a reverse mortgage. These contracts allow homeowners to tap their home equity to finance consumption needs. In stylized frameworks, we show that the decision to enter a reverse mortgage is mainly driven by the differential between the aggregate appreciation of the house price and principal limiting factor on the one hand and the funding costs of a household on the other hand. We also study a rich life-cycle model that can explain the low demand for reverse mortgages as observed in US data. In this model, we analyze the optimal response of a household that is confronted with a health shock or financial disaster. If an agent suffers from an unexpected health shock, she reduces the risky portfolio share and is more likely to enter a reverse mortgage. On the other hand, if there is a large drop in the stock market, she keeps the risky portfolio share almost constant by buying additional shares of stock. Besides, the probability to take out a reverse mortgage is hardly affected.
Non-Audit Service Provision and Its Effect on Auditors’ Independence and Audit Quality

This research examines auditors’ perceptions on the provision of non-audit services (NAS) to audit clients towards auditor independence and audit quality. It is a descriptive study that mainly investigates whether auditors perceive the provision of NAS to impair their independence, enhances audit quality, or whether it has no effect on auditor independence. This research utilized a questionnaire that was sent to external auditors that are currently working in public accounting firms in Indonesia. Seventeen auditors responded to the online survey. It was found that auditors somewhat perceive the provision of NAS to impair their independence, as well as enhance audit quality. In addition, they disagree that it has no effect on independence. Moreover, this study found no significant difference in auditors’ perception when gender, working experience, position, educational background, the experience of NAS provision, and age group were considered.
Dampak Penggunaan Konten Youtube terhadap Minat Belajar Bahasa Inggris Mahasiswa Universitas Pamulang

media kerap digunakan tutorial beraneka topik Bahasa pembelajaran , dapat seluruh mahasiswa. mengetahui menganalisis Abstract Students often face many problems in learning process; one of the problem is attentiveness of learning. Students’ attention is relatively low when they face difficult subject, such as English. Student attentiveness can be formed by interesting learning media. The more interesting learning media used, the more interested students will be learnt. YouTube is social media that is often used as learning media. The Video tutorials containing various learning topics are widely uploaded on YouTube and the contents are attracted by the public. The English learning video is one of the learning video found on YouTube, which can be accessed by all levels of society, including students. The purpose of this research is to find out and analyze the effect of using YouTube content as teaching media toward students’ attentiveness in learning English in Bachelor Degree of Accounting Program in Pamulang University. Descriptive statistics and causality were the method of the research. Quantitative research in looking at variable relationships to the more researched object is the cause and effect (causal), Therefore, in the research, there are independent variable and dependent variable. The result shows the use of YouTube content as teaching media has a positive and significant influence on learning English in undergraduate student of Bachelor Degree of Accounting Program in Pamulang University.
Sales Personnel Attrition Control and Retention – An Integrated Framework for Lifestyle Retailers in India (RSPR-LS)

A majority of organized brick-and-mortar lifestyle retailers in India believe that the cost of Sales Personnel (SP) attrition is insignificant, and this belief has made lifestyle retailers ignore the importance of SP attrition control and retention activities (SACR). Mathematically it may be true that the cost of SP attrition is very low as the average salary of the SP is 5.46 times lesser than that of Non-Sales Personnel (NSP) in the organization, but the fact is a majority of employees in a retail organization who are closest to the market and the consumers are the SP even though they are at the lower levels of retailer’s organizational hierarchy. We determinedly believe that the key to success is in identifying who is closer to the market and the consumer and ensuring such employees (if performing well) are consistently motivated to stay in the organization for a longer duration. The literature, exploratory qualitative primary findings, and empirical evaluation indicate that the existing SACR model of select organized brick-and-mortar lifestyle retailers in India is irrational as it seriously fails to understand the magnitude of the negative impact that is moderated by higher SP attrition rates on the overall store’s revenue and long-term firm’s sustainability. This study was not limited to just evaluating the existing SACR model of retailers in the study and recommending a theoretical framework. Once the RSPR-LS framework was designed that is built on proven theories in the literature, findings and insights from the exploratory phase of this study, and recommendations from previous research works relevant for lifestyle retailing in India, we have experimented the RSPR-LS framework on one of the ten lifestyle retailers in the study over 24 months’ at over 25 percent stores of the select retailer. Experimentation results demonstrate that these stores which have gone through the treatment have shown 37.59 percent improvement in walk-ins conversion rate, 87.54 percent improvement in consumer’s repeat store visit rate that resulted in 20.23 percent improvement in the overall store revenue and 2.00 times improvement in the overall store profit on account of 21.35 percentage points improvement in SP retention rate thereby providing validity and reliability of the proposed RSPR-LS framework in the field.
Optimization of bioflocculant production by bacteria isolated from oil-polluted soil and fermented maize effluent

This study involved isolation of bioflocculant producing bacteria from soil and waste water. The isolates were tested for flocculation activities and those deemed fit were identified and the optimal environmental conditions for bioflocculant production were also determined. Samples were collected from oil-contaminated soil in Redeemer's University and fermented maize waste water. Microbial isolation was done using standardmicrobiological methods and identification was done using morphology, biochemical and molecular method with universal primer for 16SrRNA gene. Environmental conditions (pH, Temperature and cations) and media composition (nitrogen and carbon sources) were altered to optimize bioflocculant production and activities. Percentage flocculating activities were determined and calculated using standard method. We also adjustedrevolution rate and standing time to determine the optimum conditions for flocculation activities. Two bioflocculant producing isolates (Bacillus cereus and Lysinibacillus fusiformis) from oil-polluted soil and two from fermented maize waste water (Bacillus thuringiensis and Bacillus tropicus) were obtained. Neutral pH, temperature o of 30 C and inclusion of CaCl were the best conditions for bioflocculant production in all isolates except for 2 Lysinibacillus fusiformis which was best with acidic pH condition. Maltose as the carbon source was the best for all isolates except Bacillus thuringiensis (fructose) and ammonium was the best nitrogen source for all isolates except Bacillus cereus (peptone). Although condition III showed optimum condition for flocculation activities, the percentage activities were generally lower than normal condition. The highest percentage flocculating activities o of 98% were by Bacillus cereus and Bacillus tropicus at 30 C, neutral pH and 1% (w/v) CaCl salt with soluble starch 2 and maltose as their carbon source respectively. These bacteria can be exploited for their use as flocculants in water treatment. Keywords: Agro-residues; Bio-friendly; Bioflocculant; Contaminated soil; Optimization
Evaluation of the Implementation of Early Children Education Programs in the Rose Playing Group, FKIP Unpatti

The objectives of this study are 1) To describe the effectiveness of the implementation of the Early Childhood Education program in the Mawar Play Group FKIP Unpatti in terms of context, input, process, and product variables. 2) To reveal the obstacles or obstacles in the implementation of the PAUD program at KB Mawar FKIP Unpatti and alternative solutions. This research was conducted at KB Mawar in 2019, using two research approaches, namely quantitative and qualitative. From this research found. 1) The results of the evaluation of the PAUD program at KB Mawar using the CIPP model program evaluation are very effective. 2) The obstacles faced in implementing the PAUD program at KB Mawar are the low level ofknowledge stakeholder about the program mission, the existence of facilities and infrastructure, the program management process, the cooperation and participation process, and academic achievement. Efforts that can be made to overcome these obstacles are by extracting community support, improving people's perspective, socializing programs, arranging equipment, materials and study rooms, planning budgets, procuring tools, materials and learning spaces in stages
Tax Rates And Economic Growth: A Conjugal Bioscopy

: The study considered the conjugal consequences of tax rates and economic growth. A focused investigation was conducted to evaluate the direction of influence of tax rates on economic growth in Nigeria. Secondary data and ex-post-facto design were adopted. The study employed autoregressive distributed lag model (ADRL) to estimate the model coefficients, using annual data for 1989 to 2018; this was because the data used in the study have time attributes and the choice of the method was premised on the fact that it enabled the researchers to examine the long-run and co-integrating relationships between the variables of the study. However, before ADRL was conducted, some residual diagnostic tests such as normality tests, multi-collinearity test, serial correlation, and heteroscedasticity tests were engaged to ensure well-founded empirical results. The findings of the study showed that PITR, VATR, and PPTR have positive and significant relationships with economic growth while CITR has a significant negative effect on economic growth; CGTR however, has no significant relationship with economic growth. It was recommended that the government should systematically review downwards the tax rates in Nigeria and widen the tax base to bring more taxable persons into the tax net.
Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer: Systematic Review

Background More than 17 million people worldwide, including 360,000 people in the United Kingdom, were diagnosed with cancer in 2018. Cancer prognosis and disease burden are highly dependent on the disease stage at diagnosis. Most people diagnosed with cancer first present in primary care settings, where improved assessment of the (often vague) presenting symptoms of cancer could lead to earlier detection and improved outcomes for patients. There is accumulating evidence that artificial intelligence (AI) can assist clinicians in making better clinical decisions in some areas of health care. Objective This study aimed to systematically review AI techniques that may facilitate earlier diagnosis of cancer and could be applied to primary care electronic health record (EHR) data. The quality of the evidence, the phase of development the AI techniques have reached, the gaps that exist in the evidence, and the potential for use in primary care were evaluated. Methods We searched MEDLINE, Embase, SCOPUS, and Web of Science databases from January 01, 2000, to June 11, 2019, and included all studies providing evidence for the accuracy or effectiveness of applying AI techniques for the early detection of cancer, which may be applicable to primary care EHRs. We included all study designs in all settings and languages. These searches were extended through a scoping review of AI-based commercial technologies. The main outcomes assessed were measures of diagnostic accuracy for cancer. Results We identified 10,456 studies; 16 studies met the inclusion criteria, representing the data of 3,862,910 patients. A total of 13 studies described the initial development and testing of AI algorithms, and 3 studies described the validation of an AI algorithm in independent data sets. One study was based on prospectively collected data; only 3 studies were based on primary care data. We found no data on implementation barriers or cost-effectiveness. Risk of bias assessment highlighted a wide range of study quality. The additional scoping review of commercial AI technologies identified 21 technologies, only 1 meeting our inclusion criteria. Meta-analysis was not undertaken because of the heterogeneity of AI modalities, data set characteristics, and outcome measures. Conclusions AI techniques have been applied to EHR-type data to facilitate early diagnosis of cancer, but their use in primary care settings is still at an early stage of maturity. Further evidence is needed on their performance using primary care data, implementation barriers, and cost-effectiveness before widespread adoption into routine primary care clinical practice can be recommended.
The relaxation spectrum of polymer length distributions

We study theoretically the behaviour of a system of « living polymers » (polymers that can break and recombine reversibly) whose molecular weight distribution (MWD) is perturbed from equilibrium and then allowed to relax. Two classes of chemical kinetics are considered: (a) reversible unimolecular scission, and (b) end-interchange. (Both yield equilibrium MWD's that are exponential). Assuming simple forms for the reaction-rate kernels in each case, we derive response functions that determine the relaxation of the system after an arbitrary (small) initial perturbation to the MWD. This is in general a complicated, non-exponential decay. However, for the special case of a temperature or pressure jump, which preserves the exponential form of the MWD but shifts its mean, a single exponential decay is predicted for the unimolecular scission case, whereas there is no decay at all in the case of end interchange. We expect our results to be relevant to the interpretation of T-jump experiments on flexible wormlike micelles.
A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis

Background Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the number of COVID-19–related publications. Identifying trends and areas of interest using traditional review methods (eg, scoping and systematic reviews) for such a large domain area is challenging. Objective We aimed to conduct an extensive bibliometric analysis to provide a comprehensive overview of the COVID-19 literature. Methods We used the COVID-19 Open Research Dataset (CORD-19) that consists of a large number of research articles related to all coronaviruses. We used a machine learning–based method to analyze the most relevant COVID-19–related articles and extracted the most prominent topics. Specifically, we used a clustering algorithm to group published articles based on the similarity of their abstracts to identify research hotspots and current research directions. We have made our software accessible to the community via GitHub. Results Of the 196,630 publications retrieved from the database, we included 28,904 in our analysis. The mean number of weekly publications was 990 (SD 789.3). The country that published the highest number of COVID-19–related articles was China (2950/17,270, 17.08%). The highest number of articles were published in bioRxiv. Lei Liu affiliated with the Southern University of Science and Technology in China published the highest number of articles (n=46). Based on titles and abstracts alone, we were able to identify 1515 surveys, 733 systematic reviews, 512 cohort studies, 480 meta-analyses, and 362 randomized control trials. We identified 19 different topics covered among the publications reviewed. The most dominant topic was public health response, followed by clinical care practices during the COVID-19 pandemic, clinical characteristics and risk factors, and epidemic models for its spread. Conclusions We provide an overview of the COVID-19 literature and have identified current hotspots and research directions. Our findings can be useful for the research community to help prioritize research needs and recognize leading COVID-19 researchers, institutes, countries, and publishers. Our study shows that an AI-based bibliometric analysis has the potential to rapidly explore a large corpus of academic publications during a public health crisis. We believe that this work can be used to analyze other eHealth-related literature to help clinicians, administrators, and policy makers to obtain a holistic view of the literature and be able to categorize different topics of the existing research for further analyses. It can be further scaled (for instance, in time) to clinical summary documentation. Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.
PENGARUH PENERAPAN TEKNOLOGI INFORMASI DAN PROFESIONALISME TERHADAP KINERJA AUDITOR

The purpose of this study to determine the effect of the application of information technology and professionalism on auditor performance. The independent variables in this study are information technology and professionalism and auditor performance as the dependent variable. The population in this study were auditors who worked at the Public Accounting Firm (KAP) in the area of West Jakarta, amounting to 35 auditors. The data used in this study are primary data. The technique used in data collection is the survey technique by distributing questionnaires to auditors. Data analysis was performed using multiple linear regression methods and hypothesis testing with t test and F test. The conclusions of the study show that: 1) Information Technology influences Auditor Performance; 2) Professionalism influences Auditor Performance; 3) Simultaneous application of Information Technology and Professionalism influences Auditor Performance. Keywords: Information Technology, Professionalism, Auditor Performance
Compatibilization of Polymer Blends

Most polymer blends are immiscible and need to be compatibilized. The compatibilization must accomplish: (i) optimization of the interfacial tension; (ii) stabilize the morphology against high stresses during forming; and (iii) enhance adhesion between the phases in the solid state. Compatibilization is accomplished either by addition of a compatibilizer or by reactive processing. This review will focus on the three aspects: description of the interphase, compatibilization by addition and reactive compatibilization.