Miracle-dz/UniFAR-FTUs huggingface dataset:
TechnoWellness and Its Relationship with Happiness and Optimism Among University of Jordan Students

The purpose of this study is to investigate the levels of TechnoWellness, happiness and optimism among bachelor’s degree students at the University of Jordan, possible relationships between these factors, and possible differences according to gender and university faculty. Using a quantitative approach, 450 participants were selected by stratified random sampling from undergraduate students registered in the 2017/2018 academic year at the University of Jordan and measured on scales of TechnoWellness, happiness and optimism. Their levels of TechnoWellness and happiness were found to be average and their level of optimism high, with a statistically significant positive correlation between the variables. The results also revealed a statistically significant difference according to gender in TechnoWellness levels but not in happiness or optimism levels. Finally, there were no statistically significant differences according to faculty for any of the three variables.
CREATES Research Paper 2007-39 Forward-Looking Betas

Few issues are more important for finance practice than the computation of market betas. Existing approaches compute market betas using historical data. While these approaches differ in terms of statistical sophistication and the modeling of the time-variation in the betas, they are all backward-looking. This paper introduces a radically different approach to estimating market betas. Using the tools in Bakshi and Madan (2000) and Bakshi, Kapadia and Madan (2003) we employ the information embedded in the prices of individual stock options and index options to compute our forward-looking market beta at the daily frequency. This beta can be computed using option data for a single day, and is able to reflect sudden changes in the structure of the underlying company. Based on an empirical investigation of daily cross-sections of option contracts on thirty underlying companies, we conclude that these forward-looking betas contain information relevant for forecasting future betas that is not contained in historical betas. JEL Classification: G12
A new macrolide isolated from the endophytic fungus Colletotrichum sp .

from the endophytic fungus Colletotrichum sp. isolated from Pandanus amaryllifolius by a series of chromatographic techniques. Its structure was determined based on HR-MS, 1D and 2D NMR. In addition, tyrosol C (2) isolated from the fungus Colletotrichum gloeosporioides, and dothiorelone C (3) and cytosporone (4), both isolated from the fungus Chaetomium globosum, were also identified in this study. All three fungi were isolated from the leaves of Pandanus amaryllifolius. Biological evaluation showed that 1 has a low activity against Escherichia coli, while 4 is moderately active. Compounds 1, 3 and 4 were inactive against the A549, HT29 and HCT116 cell lines. A
Protocol Investigating the Relationship Between Resilience , Stress-Coping Strategies , and Learning Approaches to Predict Academic Performance in Undergraduate Medical Students : Protocol for a Proof-of-Concept Study

Background: The evolution of an undergraduate medical student into an adept physician is perpetual, demanding, and stressful. Several studies have indicated medical students have a higher predominance of mental health problems than other student groups of the same age, where medical education acts as a stressor and may lead to unfavorable consequences such as depression, burnout, somatic complaints, decrease in empathy, dismal thoughts about quitting medical school, self harm and suicidal ideation, and poor academic performance. It is imperative to determine the association between important psychoeducational variables and academic performance in the context of medical education to comprehend the response to academic stress. Objective: The aim of this proof-of-concept study is to determine the relationship between resilience, learning approaches, and stress-coping strategies and how they can collectively predict achievement in undergraduate medical students. The following research questions will be addressed: What is the correlation between the psychoeducational variables resilience, learning approaches, and stress-coping strategies? Can academic performance of undergraduate medical students be predicted through the construction of linear relationships between defined variables employing the principles of empirical modeling? Methods: Study population will consist of 234 students registered for the MBBS (Bachelor of Medicine, Bachelor of Surgery) at Mohammed Bin Rashid University of Medicine and Health Sciences distributed over 4 cohorts. Newly registered MBBS students will be excluded from the study. Various psychoeducational variables will be assessed using prevalidated questionnaires. For learning approaches assessment, the Approaches and Study Skills Inventory for Students questionnaire will be employed. Resilience and stress-coping strategies will be evaluated using the Wagnild-Young resilience scale and a coping strategies scale derived from Holahan and Moos’s Coping Strategies Scale, respectively. Independent variables (resilience, stress-coping strategies, and learning approaches) will be calculated. Scores will be tested for normality by using the Shapiro-Wilk test. An interitem correlational matrix of the dependent and independent variables to test pairwise correlation will be formed using Pearson bivariate correlation coefficients. Regression models will be used to answer our questions with type II analyses of variance in tests involving multiple predictors. Regression analyses will be checked for homogeneity of variance (Levine test) and normality of residuals and multicollinearity (variance inflation factor). Statistical significance will be set at 5% (alpha=.05). Effect sizes will be estimated with 95% CIs. JMIR Res Protoc 2019 | vol. 8 | iss. 9 | e14677 | p. 1 https://www.researchprotocols. org/2019/9/e14677 (page number not for citation purposes) Banerjee et al JMIR RESEARCH PROTOCOLS
Smartphone Users Transparent Verification Approach for Mobile Applications

Mobile phones are used to perform activities such as sending emails, transferring money via mobile Internet banking, making calls, texting, surfing the Internet, viewing documents, storing medical, confidential and personal information, shopping online and playing games. Current authentication approaches do not reauthenticate in order to re-validate the user’s identity after accessing a mobile phone. To this end, this paper suggests a novel transparent user authentication method for mobile applications by applying biometric authentication on each service within a single application in a secure and usable manner based on the risk level for each user action. A study involving data collected from 76 users over a one-month period using 12 mobile applications was undertaken to examine the proposed approach. The experimental results show that this approach achieved desirable outcomes for applying a transparent authentication system at an intra-process level, with an average of 5% intrusive authentication requests. Interestingly, when the participants were divided into three levels of usage, the average intrusive authentication request was 2% which indicates a clear enhancement and suggests that the system would add a further level of security without imposing significant inconvenience upon the user.
Soluble sugar contents, total phenolic, and antioxidant capacity in a diverse set of amaranthaceae accessions

Thirty-Five Amaranthaceae accessions from seven species collected from the Germplasm Resources Information Network, USDA-ARS and then grown in a greenhouse in the USA were analyzed for their soluble sugars, total phenolic, and antioxidant capacity. The sugar contents were analyzed using high-performance liquid chromatography (HPLC). The sucrose, glucose, and fructose were found the pure sugars of the amaranth accessions with sucrose was the predominant. But wide ranges of variations were observed among the accessions. The sucrose contents ranged from 2.50-131.20 mg.100 g-1 DW (average 42.46 mg.100 g-1 DW). The glucose and fructose contents ranged 2.60-66.64 (average 23.47 mg.100 g-1 DW) and 0.60-34.60 (average 13.28 mg.100 g-1 DW). A significant positive correction found between total sugar contents and sucrose (r= 0.944), glucose (r= 0.797) and fructose (r= 0.792). Total phenolic (TP) contents were measured using the Folin-Ciocalteu reagent and was expressed as mg Tannic acid equivalents per gram of plant material on the dry basis (mg TAE. g-1). The Trolox equivalents antioxidant capacity (TEAC) based on the DPPH free radical scavenging ability of the extract was expressed as milligram Trolox equivalents per gram of plant material on the dry basis (mg TEAC. g-1). Variability among accessions was greater for TP contents (CV 44.81%); individuals ranged nearly ninefold from 1.39 to12.37 mg TAE. g-1 on a dry weight basis. Variation among accessions was also evident for TAEC values (CV 20.43%) and individually ranged nearly threefold from 0.17 to 0.44 mg TAEC. g-1 on a dry weight basis. There were significant differences (P> 0.005) for TP and TAEC while compared among the seven species. The highest TP content was observed in C. argentea (7.69 mg TAE.g-1) followed by A. hypochondriacus (6.98 mg TAE.g-1), and the TEAC was found highest in A. blitum and A. hypochondriacus (0.36 mg TEAC.g-1) followed by A. caudatus (0.35 mg TEAC.g-1). However, TP and TEAC values were not significantly correlated (r= 0.430). The significant difference among accessions regarding soluble sugar contents, total phenolic, and antioxidant capacity showed their potentiality to use the accessions for further breeding programs.
Cytochrome P 450 3 A 4 and CYP 3 A 5-Catalyzed Bioactivation of Lapatinib

Metabolic activation of the dual-tyrosine kinase inhibitor lapatinib by cytochromes CYP3A4 and CYP3A5 has been implicated in lapatinibinduced idiosyncratic hepatotoxicity; however, the relative enzyme contributions have not been established. The objective of this study was to examine the roles of CYP3A4 and CYP3A5 in lapatinib bioactivation leading to a reactive, potentially toxic quinoneimine. Reaction phenotyping experiments were performed using individual human recombinant P450 enzymes and P450-selective chemical inhibitors. Lapatinibmetabolites and quinoneimine-glutathione (GSH) adducts were analyzed using liquid chromatography-tandem mass spectrometry. A screen of cDNA-expressed P450s confirmed that CYP3A4 and CYP3A5 are the primary enzymes responsible for quinoneimine-GSH adduct formation using lapatinib or O-dealkylated lapatinib as the substrate. Themeankinetic parameters (Kmand kcat) of lapatinib O-dealkylation revealed that CYP3A4 was 5.2-fold more efficient than CYP3A5 at lapatinibO-dealkylation (CYP3A4 kcat/ Km=6.8mM min versusCYP3A5 kcat/Km= 1.3mM min). Kinetic analysis of GSH adduct formation indicated that CYP3A4 was also 4-fold more efficient at quinoneimine-GSH adduct formation as measured by kcat (maximum relative GSH adduct levels)/Km (CYP3A4 = 0.0082 vs. CYP3A5 = 0.0021). In human liver microsomal (HLM) incubations, CYP3A4-selective inhibitors SR-9186 and CYP3cide reduced formation of GSH adducts by 78% and 72%, respectively, compared with >90% inhibition by the pan-CYP3A inhibitor ketoconazole. The 16%–22% difference between CYP3Aand CYP3A4selective inhibition indicates the involvement of remaining CYP3A5 activity in generating reactive metabolites from lapatinib in pooled HLMs. Collectively, these findings support the conclusion that both CYP3A4 and CYP3A5 are quantitatively important contributors to lapatinib bioactivation.
Improving Neural Architecture Search with Reinforcement Learning

Neural Networks are powerful models that provide great performance on numerous image classification tasks. While some of the best architectures are still manually designed, in recent years researchers have focused on developing methods to automatically search for network architectures. We investigate the topic of neural architecture search with reinforcement learning, a method in which a recurrent network, the controller, learns to sample better convolutional architectures. We highlight different methods that influence the sampling decisions of the controller, and present a novel approach that improves the search strategy employed by the controller.
Supplementary Appendix : Control Variables Approach to Estimate Semiparametric Models of Mismeasured Endogenous Regressors with an Application to U . K . Twin Data

This online supplemental material provides some technical details and the asymptotic properties of the proposed estimator. 1 Sufficient Conditions for Identification In order to understand the meaning of the conditional independence assumptions in a specific context, consider a regression model of the form: Y1 = π(Z1) +G(Y2; θ, h) + ε, Y ∗ 2 = g(Y2, e), V = r(Z1, η), (S 1.1) where G(·) is known up to (θ, h), Y1, Z1 and V are observed random variables, Y2 is the true endogenous regressor, Y ∗ 2 is the observed mismeasured regressor, and g and r denote true structural functions. ε, e and η are unobserved causes of Y1, Y ∗ 2 and V , respectively. e can be also interpreted as the measurement error on Y2. Inclusion of the exogenous variables Z1 in r clearly illustrates that the control variable V does not need to be independent of the exogenous variables in this setting. Below we provide sufficient conditions for the identifying assumptions (Assumptions 2.12.4 in the main text) in terms of the model (S 1.1). Let E ,Ξ, and Υ be the support of the ∗Corresponding authors: Kyoo il Kim, kyookim@msu.edu; Suyong Song, suyong-song@uiowa.edu.
SAKARYA İKTİSAT DERGİSİ/THE SAKARYA JOURNAL OF ECONOMICS

Competition has become more important day by day because of increasing integration of international markets and expansion of scope and nature of free trade agreements. These conditions require continuous competition at international scale; for this reason, research and development expenditure has become more important at each stage of production and marketing. Finally; importance given to R&D units and expenditures will provide a positive contribution to the competitiveness and economic growth. Aim of this study is to examine relationship between R&D expenditure and economic growth for Turkey. For this purpose Toda-Yamamoto causality test applied for the period of 1990-2013 with annual data. Finally, causality found from GDP per capita to R&D expenditure however there is no causality from R&D expenditure to GDP for Turkey.
Combined effects of ethephon and mepiquat chloride on late blooming, fruit set, and phytochemical characteristics of Black Diamond plum

This study was carried out in 2015 and 2016 to investigate the use of ethephon and mepiquat chloride for reduction of damage to flowering and fruit set caused by late spring frosts in Black Diamond plum. The single treatment of mepiquat chloride delayed full blooming by 5 days, while the ethephon treatment delayed blooming by 7 days. The interactive effect of the chemicals yielded more positive results in the delay of blooming, causing a delay of up to 11 days. An increase in fruit set was observed along with blooming. The fruit set percentage of the control was 4.18%, while it reached 21.28% with the combination of the chemicals. Combined or single applications of the chemicals resulted in a decrease in all phytochemical properties, except for vitamin C. In the control, total anthocyanin, total phenol, soluble solids content, and antioxidant capacity were 67.95 mg 100 mL-1, 1056.00 mg L-1, 19.68%, and 27.05 mmol L-1, respectively. In the treatment groups these values were reduced to 39.02 mg 100 mL-1, 854.90 mg L-1, 16.98%, and 21.32 mmol L-1, respectively. An ethephon treatment of 4000 ppm led to blighted branches and gummosis. The combined effect of higher mepiquat chloride (150 ppm) and lower ethephon (2000 ppm) doses are believed to contribute to reduction of damage caused by late spring frosts.
XXVII CONFERENZA ITALIANA DI SCIENZE REGIONALI

This paper aims at analyzing to what extent changing accessibility affects the distribution of residential and economic activities in a region. The study is carried out by mean of empirical and modeling analyses. The case study is that of the Regione Campania, one of the 20 administrative regions of Italy. The empirical study consists of before-and-after analyses correlating the variation of zone accessibility to the variation of population and other economic activities (Commerce, services, etc) over a 20 years long period. The results of the analyses carried on show that the impact of accessibility on the location of certain economic sectors is negligible (e.g. for Public services, Wholesale), while it is significant for Residents, Retail, Private Services location. In the latter case, however, it is evident that there are other factors affecting such location choice even stronger than accessibility (e.g. housing prices, congestion of the urban system, and so on). In order to deeper investigate such issues, an integrated modelling framework simulating land-use and transport interaction is proposed. The results of the aggregated calibration of the model parameters are presented and discussed in the paper.
Quantile cointegration analysis of the Fisher hypothesis q

This paper intends to provide possible explanations for the empirical failure of the Fisher hypothesis in terms of economic shocks by employing the quantile cointegration methodology recently proposed by Xiao (2009). Our empirical results for six OECD countries suggest that though the nominal interest rate and inflation move together in the long run, the cointegrating coefficients between the two variables display an asymmetric pattern depending on the sign and size of the shocks, in sharp contrast to the counterparts with the conventional cointegration methods. In details, in the lower quantiles, the nominal rate is low, and would rise less proportionally than the inflation, leading to the so-called Fisher effect puzzle; by contrast, in the upper quantiles where the level of the nominal rate is high, the former would adjust on a one-to-one basis to changes in the latter, and therefore, support the Fisher hypothesis. Asymmetric monetary policies may be responsible for the findings. Finally, a further checking shows that our findings are robust to the changes of econometric modeling and data frequency. 2012 Elsevier Inc. All rights reserved.
The Study on Effect of Health Maintenance Principles Based on Iranian Traditional Medicine on Health Workersâ Quality of Life

Background: Iranian traditional medicine prioritizes the health maintenance and its promotion rather than diseases treatment and has also expressed some logical principles for maintaining health. Given the health workers’ healthiness promotion, as one of the most efficacious forces in health care domains which has considerable importance and it is extensively beneficial and practical in health assessment and evaluating the quality of life, the recent study with the purpose of examining the effect of instructing the principles of maintain health based on health workers’ quality of life has conducted in Kashan. Methods: This research is semi experimental which has conducted in 2017 and during this process, 54 health workers in Kashan were selected and were studied. SF36 survey was the medium for assessing the quality of life in the research questionnaire. Moreover, the information germane to individual peculiarities (age, gender, education) was assembled. Then educational intervention within 5 weeks and 25 hours was implemented in this course. The foundations of traditional medicine and six principles pertinent to health maintenance have been instructed to health workers. The data was compiled before educational intervention and 3 months after educational one using written questionnaire. Results: The results indicated that instructing the principles of health care based on traditional medicine has enhanced the score of health workers’ quality of life in all aspects of questionnaire. In addition, in terms of physical function, physical pain and exhilaration, these alterations had been meaningful. In terms of instructing, there weren’t any remarkable and meaningful alterations in data. Conclusion: The study represented that instructing the principles of health maintenance based on Iranian traditional medicine is able to ameliorate the health workers’ quality of life. It seems that embedding instructions of traditional medicine in health organization employees’ curricula can promote healthiness and ameliorate the quality of life.
Screening of Salt Tolerant and Growth Promotion Efficacy of Phosphate Solubilizing Bacteria

An attempt was made for screening of salt tolerant against sodium chloride (NaCl) salt and growth promotion efficacy of eight different phosphate solubilizing bacterial (PSB) isolates under in vitro conditions. An efficient isolate which exhibited maximum phosphate solubilization, salt tolerant, Indole-3-Acetic Acid (IAA) production and root colonization potential in maximum concentration of NaCl (7%) was identified as Bacillus cereus based on 16S rRNA sequencing. It was recorded that highest phosphate solubilization in 7% NaCl concentration (70% and 374 μg/mL) in agar plate and broth assay respectively. IAA production was observed to be decreased when salt concentration increases, the isolate showed significant amount of IAA in normal culture media without amendment of NaCl (74.94 μg/mL) and at 7% gradual decrease of IAA production was observed (30 μg/mL). Maximum colonization of isolate in the roots of Zea mays was also observed in the study.