Miracle-dz/UniFAR-FTUs huggingface dataset:
Trade and the Composition of Growth

This paper studies the relationship between innovation driven growth, distribution, and international trade. The model features two trade barriers: tariffs and distribution costs and three sources of growth: quality improvement, cost reduction, and product proliferation. This paper shows that distribution and manufacturing technologies have important interactions and are fundamentally linked. The distribution costs reduce the incentive to engage in cost reduction. Through this mechanism, trade has a compositional affect on economic growth. Tariffs affect both the extent of the market and the composition of the market. A reduction in tariffs increases market size and hence generates a temporary increase in quality growth and the entry rate. Because overseas sales are distribution intensive, the expansion of overseas sales drives a temporary reduction in manufacturing productivity growth. In contrast, if increased trade is driven by improvements to the distribution technology, both quality improvement and manufacturing productivity growth increase. ∗I gratefully acknowledge funding from an IUJ Research Grant in 2019.
Analysis of Factors Affecting Financial Management Behavior

The purpose of this study is to determine the effect of risk profile, asset familiarity, investment objectives, investment awareness, and portfolio management on investment behavior. The method of collecting data using a questionnaire aimed at the people of Batam. A total of 100 questionnaires were collected and then processed using SPSS. The study continued with testing the validity and reliability. For testing the hypothesis the author uses multiple linear regression analysis. From this study it can be concluded that risk profile, asset familiarity, investment objectives, investment awareness, portfolio management have a significant positive effect on investment behavior. Overall the independent variable can explain the dependent variable by 51.8% while the rest is influenced by other variables outside the study.
Health Policy and Development

The graph shows that: a) the mortality rates of the six social classes register an order that is inversely proportional to the level of social class; b) clear-cut differences are seen between professionals and technician-managers, who register the lowest mortality rates, specialised and semi-specialised, who occupy a middle position; and the non-specialised who have the highest mortality rates; c) in the space of 20 years the mortality rates diminished in all the classes, but the gap between the richer and poorer classes widened considerably; between the early 70s and 90s the mortality rates fell by 40% in classes I and II, by 30% in classes IIIN, IIIM and IV, and only by 10% in class V.
Surgical endodontic management after conventional root canal treatment failure: A case report

In the root canal system, infection of the pulp tissue caused by caries or other pathways is the primary cause of apical periodontitis. The ultimate goal of the endodontic treatment is to create adequate conditions for periradicular tissue healing. Nonsurgical endodontic treatment is a highly predictable treatment option in most cases, but surgery may be indicated for teeth with persistent periradicular pathosis unresponsive to nonsurgical approaches. The aim of this article is to highlight the possibility of the successful outcome of surgical endodontic treatment following failed non surgical treatment of right maxillary central incisor. With proper case selection and operator skill, periradicular surgery can be considered predictable, cost effective alternative to tooth extraction and tooth replacement.
Nanocrystalline Iron Oxides, Composites, and Related Materials as a Platform for Electrochemical, Magnetic, and Chemical Biosensors

This review represents a comprehensive attempt to summarize and discuss various sensing applications of iron oxide nanoparticles (NPs), which have attracted a great deal of attention over recent years because of their easy preparation, biocompatibility, nontoxicity, and broad range of biomedical applications. We review the application potential of nanomagnetite based amperometic sensors possessing an intrinsic enzyme mimetic activity similar to that found in natural peroxidases. In addition, we discuss the properties and applications of enzymatic sensors exploiting glucose oxidase, tyrosinase, and other enzymes for sensing a variety of important biomedical species. Among iron oxide-based nanocomposites, we highlight the use of Fe3O4@Au hybrids for designing new electrochemical aptasensors with unique versatility for binding diverse targets, including proteins and peptides. Similarly, sensing applications of composites of iron oxide NPs with graphene derivatives and carbon nanotubes are reviewed. A large p.
Relations between Reputation and Social Media Marketing Communication in Cryptocurrency Markets: Visual Analytics using Tableau

: Visual analytics is an emerging research field that combines the strength of electronic data processing and human intuition-based social background knowledge. This study demonstrates useful visual analytics with Tableau in conjunction with semantic network analysis using examples of sentiment flow and strategic communication strategies via Twitter in a blockchain domain. We comparatively investigated the sentiment flow over time and language usage patterns between companies with a good reputation and firms with a poor reputation. In addition, this study explored the relations between reputation and marketing communication strategies. We found that cryptocurrency firms more actively produced information when there was an increased public demand and increased transactions and when the coins’ prices were high. Emotional language strategies on social media did not affect cryptocurrencies’ reputations. The pattern in semantic representations of keywords was similar between companies with a good reputation and firms with a poor reputation. However, the reputable firms communicated on a wide range of topics and used more culturally focused strategies, and took more advantages of social media marketing by expanding their outreach to other social media networks. The visual big data analytics provides insights into business intelligence that helps informed policies.
The effect of public expenditures on economic growth of Kosovo: An econometric analysis

Public spending as an important component of the composition of GDP has an impact on economic growth and development. The main purpose of this paper is to analyze the effects of disaggregated public expenditures, to measure the impact of current expenditures, transfers and subsidies, and capital expenditures as part of total government expenditures on economic growth and development of the Republic of Kosovo. To achieve the main goal of the paper was used the multiple linear regression model (OLS) and Pearson. The regression model has been modified and adapted to measure the regression of public spending on economic growth in Kosovo. The data used in the paper are secondary and collected from the Ministry of Finance of Kosovo, Agency of Statistics, and the Tax Administration of Kosovo. Data processing was done with SPSS. The results of the analysis show that the trend of Kosovo public spending for the analyzed period is increasing. According to Pearson correlation analysis, the results show that current public spending; transfers, and subsidies have a strong positive correlation to Gross Domestic Product. Whereas capital (investment) expenditures have a weaker positive correlation with GDP. The results of OLS regression, in our case, did not show the significance of independent variables, which means that the pubic expenses do not have an impact on economic growth in Kosovo.
Growth performance and feed efficiency of Bayad (Bagrus bajad) fed diets containing different fish meal/plant protein ratios with two protein levels

A factorial experiment 2 × 2 was conducted to investigate the effect of protein level (30% and 35%) within each level substitution ratio of fish meal (FM) and plant protein (PP) percentage (50% FM: 50% PP, and 33% FM: 67% PP) on the growth performance, feed utilization, survival rate %, carcass chemical composition and economical evaluation of Bayad (Bagrus bajad) fingerlings with average of initial body weight 31.86 ±0.34g. The survival rate was within the range 96.67– 100 %. The highest growth parameters and the best feed conversion ratio (FCR) were obtained with the diet contained on (35% CP and 50% FM: 50% PP). The diet contained (30% CP and 33% FM: 67% PP) had the lowest growth and the worst FCR than other treatments. However, differences in growth parameters among diets contained on (30% CP, 50% FM: 50% PP) and (35% CP, 33% FM: 67% PP) were insignificant. Final body weight was progressively decreased with increasing plant protein under both protein levels of diets. The improvement of growth performance and FCR tested in diets containing higher levels of fish meal under both protein levels of diets. The results showed significant difference in obtained of carcass composition however ash had insignificant differences. Regarding to economical evaluation 35% protein level is more economical in Bayad aquaculture. Net returned of Bayad were better for the 35% treatment (50 FM: 50 PP) which was 1.20 but the worst was 30% (33 FM: 67 PP) which was 0.77.
WORKING PAPER SERIES

This paper examines married women’s time allocation to market hours and spousal care in the event of their husbands’ disability and its implications for evaluating the insurance value of the Social Security Disability Insurance (SSDI) program. First, I find that while spousal labor supply responses to husbands’ disability are small, wives spend a sizable amount of time in spousal care after their husbands become disabled. Motivated by these facts, I develop a dynamic model of married households that incorporates husbands’ disability status, wives’ time allocation choices, health state dependent utility, and the institutional features of SSDI. Counterfactual experiments indicate that caregiving needs substantially attenuate spousal labor supply responses and increase the insurance value of SSDI relative to its costs. Furthermore, policy reforms such as supplementary caregiving benefits can improve social welfare.
Planting density influence yield, plant morphology and physiological characteristics of determinate ‘Suzukoma’ Tomato

The effect of planting densities on yield, plant morphology, and physiological characteristics in determinate-type cooking ‘Suzukoma’ tomato were examined [high density (HD), medium density (MD), and low density (LD), corresponding to 792, 396, and 264 plants• a-1]. Although the fruit yield per plant under HD was 0.6 and 0.5-fold lower than that under MD and LD, respectively, the yield per area under HD was 1.2and 1.5-fold higher than that under MD and LD, respectively, because planting density under HD was 1.5and 3.0-fold higher than under MD and LD, respectively. There were no differences among planting densities on fruit set ratio, fruit weight, marketable fruit ratio, and soluble solids content. Lateral shoot length at the first cotyledonary node and third to fifth true leaf nodes under HD was shorter than one third of those under LD. Hence, the total numbers of flowers and fruits per plant were the lowest under HD. The extent of reduced photosynthetic rates and SPAD values for the third, fifth, and seventh true leaves under HD were not so larger compared to LD, despite being extremely reduced photosynthesis photon flux density (PPFD) at a low position in the plant community. The causes of decreased lateral shoot length at intermediate nodes under HD compared to LD suggested that the concentrations of isopentenyl adenine riboside (iPR) and trans-zeatin riboside (tZR) in stems, and IAA, iPR, tZR, and trans-zeatin (tZ) in lateral shoots under HD were lower than in those under LD. From these results, it was indicated that yield per area under HD was higher than under LD due to the morhological and physiological change of the plants by light conditions in the plant community.
LOAN DIVERSION AND EFFECT ON THE GROWTH OF SMALL- SCALE POULTRY FARMS IN NIGERIA

Cases of loan diversion among small scale poultry farmer borrowers in Nigeria have occupied central position in both scientific and public debates in recent times. The study examines the evidence of loan diversion as it affects the productivity of poultry farms and the need for extension financial literacy advisory services in Nigeria. Two hundred and forty respondents were randomly selected using multiple stage method. Quantitative and qualitative data were primarily obtained using questionnaire. Parametric and non-parametric statistical tools were used to analyze data. The finding of the study revealed that the surveyed poultry farmers were male (70.42%) with an average age of 46 years, married and operated small scale farms. A good number of the surveyed farmers (86.67%) had obtained loan and diverted varying amounts of the loans. The test of hypothesis indicates that loan diversion exerts a negative and significant effect on poultry agribusiness growth (P< 0.05). Loan diversion is a significant determinant of loan default rate of poultry agribusiness (P< 0.05). The study recommends that poultry farmers should be made to access extension financial literacy advisory services. They should utilize loans for the intended purpose of enhancing poultry productivity and wealth creation in Nigeria.
The Investigation of Feline Parvoviruses ( FPVs ) into Two Different Phylogenetic Lineages in Turkey

Carnivore Parvoviruses, namely Feline Panleukopenia virus (FPV) and Canine Parvoviruses (CPVs), closely related at the genetic level, have high mortality rate among the domestic cats and wild felid species. Many researchers implied that occurrence of new subtype or strain may be possible in consequence of RNA recombination between these viruses. It is also reported that the presence of parvovirus infections in domestic cats in Turkey. Hence, in this study we aimed to obtain current knowledge about FPVs among domestic cats using by molecular and phylogenetic methods. The organ and blood samples obtained from three cats were found positive and their molecular characterizations were examined based on partial VP2 gene region. Through this analysis, sequences of two cats have localized on monophyletic clade as a sister branch of CPVs whereas one sequence placed in distinct clade. Maximum Likelihood (ML) and Bayesian Inference (BI) methods were used for molecular characterization and as a conclusion, obtained data have presented circumstances of cross-species transmission and genetic diversity of parvoviruses in Turkey.
Modeling of an Opposed Multiburner Gasifier with a Reduced-Order Model

A reduced-order model (ROM) is considered a promising solution for engineering simulation of a gasifier. In this study, a ROM of a commercial-scale opposed multiburner gasifier is developed based on a reactor network model (RNM). The RNM blocking for this gasifier is established and validated based on analysis of the gasifier flow field. The particle flow in the gasifier is characterized by the particle residence time in each reactor of the RNM. The random pore model and the “effective factor” method are employed to model the char gasification rate under high pressure and temperature. The interphase heat transfer and heat loss through the refractory wall are calculated. In model validation, the simulation results show well agreement with the industrial data. The model provides distributions of the gas temperature and compositions in the gasifier. Effects of the particle size on the particle temperature and carbon conversion are discussed quantitatively. It is observed that fine particles can be completely.
GENRE FOR TEACHING ESP

eaching an ESP class in comparison to General English class requires different strategies where emphasis lies more on particular parts of the course rather than on skills. In an ESP course, we are mostly concerned with the application of skills that is getting students to show mastery of a skill by applying it to new and unknown material. Even though the learners are wellprepared in their subject area, most of them are third or fourth year students, they have to acquire new specialized knowledge of preparing and recording podcasts, persuasive writing in forms of leaflets, sales letters and brochures, compiling professional reports such as conducting researches by devising questionnaires, surveys and interviews. In this paper, I would like to look at outcomes of teaching/learning sales letters and podcasts by an application of a correlation-al research, which aims to find writing and speaking relationships/characteristics and to answer the question: “Are students with good writing skills also those who have good speaking skills? ” Research has been done on samples of writing skills (sales letters and reports) and speaking skills (podcasting) by evaluating students’ assignments with rubrics. After analyzing the evidences, I have tried to identify the problem area and to provide solutions to learner’s self-assessment by means of genre analysis.
Efficacy of Bioagents against Alternaria porri Incitant of Purple Blotch of Onion in Egypt

fficacy of Trichoderma harzianum, T. hamatum, T. viride, and Chaetomium sp. as foliar spray against purple blotch of onion (Allium cepa) was evaluated. The fungicides Blight stop (bio) and Luna Experience SC (chemical) at certain doses were used as a check. All treatments recorded the highest efficacy percentage for reducing severity of purple blotch compared to control, where it gave 88.85 and 69.76% after four and seven sprays respectively. Trichoderma harzianum was the superior treatment more than Blight stop as a check. On the other hand, Chaetomium sp. showed the lowest effect. Also, all treatments increased onion yield, plant height, number of leaves and fresh weight/plant, total carbohydrates, total nitrogen and total soluble solids as compared to non-treated plants.
EPIDEMIOLOGICAL STUDIES OF CAR ACCIDENT IN HIGH WAY TEHRAN-QAZVIN AT 2018

INTRODUCTION Context The injury’s issue is one of the most important subjects in the field of health. This subject tends to serious socioeconomic and health problem in the world. [1] Injuries are the second major cause of mortality in Iran. [2,3] One of the major causes of injury in Iran is the trauma caused by traffic accidents. [4] Road traffic accidents are the most important causes of mortality and morbidity in the world. [5] It should also be stated that road traffic accidents happen more in developing countries rather than developed countries. [6] One such occurrence can be attributed to the factors such as the growing number of vehicles, changes in lifestyle, and high-risk behaviors. [6,7] Information regarding the distribution of injuries caused by an accident trauma can lead to appropriate decision making in the management of Red Crescent, emergency, and police forces. It must be said that although many studies have been published regarding the prevalence of a road traffic accident in different cities of Iran. [2] a lack of strong evidence in this field has been felt. 2. Objectives Therefore, this systematic and meta-analysis study, with the aim of mapping the prevalence of accident trauma in Iran, has been done using the GIS model. 3. Evidence Acquisition 3.1. Search Strategy The literature on the accident trauma prevalence in Iran was acquired through international searching databases including PubMed, Scopus, Elsevier, Google Scholar, and Web of Science as well as Iranian scientific information database (SID), Health.barakatkns, MagIran and Iran Medex 1996 to 2018. Our last search was conducted on Aug 08, 2018. In order to search and include as many related studies as possible, we used the following terms: “road traffic accidents”, “trauma”, “accident”, “prevalence”, “injury”, “traffic”, and the name of the province of Iran. 3.2. Selection of Studies and Data Extraction Published studies were regarded as qualified for analysis if they met the following criteria: 1studies with the entire text available in the Farsi or English language; 2studies with a sample size of more than 70, and 3studies that Review Article ISSN 2454-2229 wjpls, 2021, Vol. 7, Issue 2, 12 15
Total [1, k]-Sets in the Lexicographic Product of Graphs

A subset S ⊆ V in a graph G = (V,E) is called a [1, k]-set, if for every vertex v ∈ V \S, 1  |NG(v)∩S|  k. The [1, k]-domination number of G, denoted by γ[1,k](G) is the size of the smallest [1, k]-sets of G. A set S ⊆ V (G) is called a total [1, k]-set, if for every vertex v ∈ V , 1  |NG(v)∩S|  k. If a graph G has at least one total [1, k]-set then the cardinality of the smallest such set is denoted by γt[1,k](G). In this paper, we investigate the existence of [1, k]-sets in lexicographic products G ◦H. Furthermore, we completely characterize graphs whose lexicographic product has at least one total [1, k]-set. Finally, we show that finding smallest total [1, k]-set is an NP -complete problem. AMS Subject Classification: 05C85; 68R05
The motives for takeover bid targets: “A Study in the Egyptian Context”

This study analyses the characteristics of companies subject to takeover bids in the Egyptian context. The main objective of this paper is to examine the suitability of methodologies that the literature proposes to predict the acquisition targets, in order to explain the motives for takeover bids in Egypt. So, the study, uses a sample of 20 nonfinancial firms that were subject to takeover bids in Egyptian Stock Exchange during the period 2010-2015, compared with a further 20 firms, selected on an industrial and time basis, that were not taken over. The paper found that firms subject to takeover bid were characterized by having lower profitability than other firms operating in the same sector. However, no difference was found in terms of market valuation and this circumstance not allow to argue that Egyptian takeover have been driven by disciplinary motives. Even imbalance, size and ownership concentration were not significant variables in the distinction between firms that were taken over and firms that were not.
Jesi Anggraini

The technique of supernatant removal in urine sediment examination using the Shih-Yung method can be done by aspirating and decanting. The aspirated technique is the recommended technique. The Central Laboratory Installation of Dr. M. Djamil Hospital, Padang used decanted supernatant removal technique. The variety of preanalytical procedures affect the results of urine sediment examination. This study aimed to analyze the agreement of erythrocyte, leukocyte, and non-hyaline cast sediment examination results using the Shih-Yung method in aspirated and decanted supernatant removal technique. This study was an analytical observational study with a cross-sectional design of 37 urine specimens that met the inclusion and exclusion criteria at the Central Laboratory Installation of Dr. M. Djamil Hospital, Padang from July to September 2020. Examination of erythrocyte, leukocyte, and non-hyaline cast sediment using Shih-Yung method with aspirated and decanted supernatant removal technique. Numeric data were analyzed using the Mann-Whitney U test and Cohen's Kappa test for the degree of agreement, p-value < 0.05 was considered significant. The agreement test results for erythrocyte, leukocyte, and non-hyaline cast sediment in aspirated and decanted supernatant removal technique were (Kappa=0.88, p < 0.05), (Kappa=0.83, p < 0.05), and (Kappa=0.86, p < 0.05), respectively. The degree of agreement test results for erythrocyte, leukocyte, and non-hyaline cast sediment using the Shih-Yung method in aspirated and decanted supernatant removal technique were almost perfect and statistically significant. The technique for supernatant removal in urine sediment examination using the Shih-Yung method can be done by decanting.