Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Multiphase Underwater Jets and Plumes: Droplets, Hydrodynamics, and Chemistry

Jets and plumes have been the focus of quantitative investigations since the mid‐1950s. These investigations intensified following the Deepwater Horizon oil spill, in which thousands of tons of oil and natural gas were released into the Gulf of Mexico. This review focuses on plume dynamics that apply to both single‐phase and multiphase liquid‐in‐liquid and liquid plus gas into liquid plumes, including bubble and droplet formation, and heat and mass transfer. Broadly, our work highlights several previously unknown or overlooked aspects of multiphase flow in the deep oceans. Upstream of the jet release, multiphase hydraulics can significantly affect the turbulence, for instance, through churn flow that enhances the turbulence in the free jet, affecting the conditions where bubbles and droplets are formed. Droplet formation was a major focus recently, with experiments covering a range of scales and flow rates of oil and gas at low and high pressure. Detailed observations of droplet formation at the jet‐water boundary reveal the formation of compound droplets, which are emulsions of oil and water with implications for mass conservation and mass transfer. At the plume scale, integral models have been adapted to include the complex thermodynamics and chemistry of oil and gas plumes. In parallel, significant advances were made in numerical simulations of multiphase plumes through large eddy simulations by treating the oil and gas either a continuous or discrete phase. Through this work, a vivid picture of the complex droplet, chemical, and hydrodynamic behavior of multiphase plumes in the ocean is emerging.
Implied Cost of Capital and the Predictability of Market Returns

In this paper, we examine the ability of the aggregate implied cost of capital (ICC) to forecast future stock market returns. A stock’s implied cost of capital is defined as the expected return that equates its current price to the present value of its expected future free cash flows. We compute implied costs of capital for each firm in the S&P 500 index every month from 1981-2009 and use their value-weighted average as a measure of market-wide implied cost of capital. We find that the market’s implied cost of capital strongly predicts subsequent stock market returns. In multivariate regressions, the aggregate implied cost of capital is a significant predictor of future returns in the presence of the book-to-market ratio, dividend-to-price ratio, earnings-to-price ratio, term spread, default spread, net equity issuance, inflation, stock market variance, long term government bond yield, long term government bond return, lagged stock returns, consumption-to-wealth ratio, investment to capital ratio, and the sentiment measures in Baker and Wurgler (2006), and it outperforms most of these variables. Under a mean-variance framework, forming portfolios based on ICC expected returns result in utility gains of more than 5% per year. The results remain robust under various bootstrap and simulation exercises. Out-of-sample evidence shows that implied cost of capital has strong forecasting power in recent years. This forecasting power is consistent with the interpretation of implied cost of capital as a measure of time-varying expected returns (see Pastor, Sinha, and Swaminathan (2008)).
Setting the policy agenda for graphic health warning labels: An analysis of online news media coverage in South Korea, 2016

INTRODUCTION In South Korea, a bill requesting the implementation of graphic health warning labels (GHWLs) on tobacco products was adopted at the Assembly Plenary Session on 29 May 2015, and the law was implemented on 23 December 2016. During the period, a plan of the technical details of GHWLs, such as the making of graphic warnings, was examined by the Regulatory Reform Committee (RRC). This study aims to investigate what the media reported over that period and whether the RRC’s policy decisions changed. METHODS We conducted a content analysis of online media reports from the first legislative examination (22 April 2016) to the re-examination (13 May 2016). We coded 150 news reports according to two types (news and opinions) and three slants in terms of being in favor of or opposed to the initially government’s implementation plan of GHWLs: positive, negative, and neutral. RESULTS At the first legislative examination, some committee members recommended placing pictorial warnings at the bottom of a cigarette pack as opposed to the plan. Initially, the media reported the results of the committee decisions neutrally. However, over time, positive news and opinions on tobacco control policy and support for positioning the GHWLs at the top of packages increased before the committee carried out the re-examination. Only 15 (10.0%) news reports adopted a negative slant, while the reports with positive (n=101; 67.3%) and neutral slants (n=34; 22.7%) comprised the majority. At the re-examination, the committee withdrew their earlier recommendation to position the GHWLs at the bottom of cigarette packs, finally deciding that the pictorial warnings should be located at the top of the packs, as per the original government’s plan. CONCLUSIONS The friendly media coverage of the tobacco control policy suggests that the media would be a major factor in the policymakers’ decision. Because the media play an important role in defining social issues in the policy-decision process, garnering support from the media is important in the tobacco control legislative process.
Are the symptoms really remitting? How the subjective interpretation of outcomes can produce an illusion of causality

Judgments of a treatment’s effectiveness are usually biased by the probability with which the outcome (e.g., symptom relief) appears: even when the treatment is completely ineffective (i.e., there is a null contingency between cause and outcome), judgments tend to be higher when outcomes appear with high probability. In this research, we present ambiguous stimuli, expecting to find individual differences in the tendency to interpret them as outcomes. In Experiment 1, judgments of effectiveness of a completely ineffective treatment increased with the spontaneous tendency of participants to interpret ambiguous stimuli as outcome occurrences (i.e., healings). In Experiment 2, this interpretation bias was affected by the overall treatment-outcome contingency, suggesting that the tendency to interpret ambiguous stimuli as outcomes is learned and context-dependent. In conclusion, we show that, to understand how judgments of effectiveness are affected by outcome probability, we need to also take into account the variable tendency of people to interpret ambiguous information as outcome occurrences.
Management of Hepatorenal Syndrome: A Review

Abstract Acute kidney injury (AKI) occurs frequently in patients with cirrhosis, and hepatorenal syndrome (HRS) is second most common etiology of AKI after volume responsible pre-renal etiology. AKI in these patients negatively impacts pre- and post-transplant patient survival and healthcare burden. Reduced effective blood volume with consequent reduced renal blood flow, along with systemic inflammation in patients with decompensated cirrhosis, result in susceptibility to HRS. In this article, we will review updates over the last 5 years on the changing definition with diagnostic criteria and nomenclature of AKI and HRS, data on medical treatment with vasoconstrictors, and urinary biomarkers in diagnosis of etiology of AKI. We will also discuss the significance of liver transplantation evaluation once the diagnosis of HRS is established and the post-transplant immunosuppression management. We will also review one of the challenging issues that remains among transplant-eligible patients, that of allocation of simultaneous liver kidney transplant. Finally, we will review the new implemented policy from the Organ Procurement Transplant Network on simultaneous liver kidney allocation.
THE ROLE OF JOB SATISFACTION IN MEDIATING RELATIONSHIP BETWEEN PSYCHOLOGICAL EMPOWERMENT AND LECTURER PERFORMANCE

The sampling technique used in this study is the saturation sampling technique. The questionnaire was distributed to 140 lecturers of the Dhyana Pura University foundation. Of the 140 questionnaires distributed 96 returned (response rate 68.5). This research used PLS (Partial Least Square) analysis technique. The results of this study have shown that psychological empowerment has a positive effect on performance, psychological empowerment has a positive effect on job satisfaction, and job satisfaction has a positive effect on performance. In addition, job satisfaction has a positive effect as a mediator of the effect of psychological empowerment on performance. The implication of this research is to improve the performance of lecturers, they must feel psychologically empowered and satisfied with the work first. The University needs to create positive emotions in the lecturers when they evaluate their work by increasing psychological empowerment, so that their performance will also improve.
Cause-Related Marketing Claims Resulting from Overcoming Skepticism: Empirical Evidence from Indonesia

Corporate marketing plans have been progressively turning into a standard because of cause-related marketing (CRM). This research looks at the planned result of a situational factor that may be meddled with on social networking sites (SNSs) through advertisement of cause-related marketing (CRM). For the purpose of supporting a social cause, statements are given that inspire confidence in the sponsoring organisation. This research investigates whether the impact of a CRM campaign on customer receptivity develops through customers' attributional thinking. It additionally contemplates how exceedingly sceptical versus less sceptical customers contrast in their reactions to CRM promotions. An online experiment was conducted. A total of 409 undergraduate students participated in the study. The confirmatory factor analysis was carried out with help of AMOS 22, whereas the moderating role of attribution was analysed by carrying out regression analysis in SPSS v.20. The strategy by which purchasers see and assess organisations' intentions decides the viability of the organisations' CRM promotions. In the end, a customer’s perception of an organisation's credibility greatly affects their goal to join that organisation's brand page. This research propels speculations about customers' defensive components by anticipating the good reactions of the customers about the brand pages that highlight the CRM on SNSs.
An Effective Framework for Bridging the Gap between Industry and Academia

The main aim of this paper is to investigate any gaps between academia and industry readiness and to identify skills and abilities organizations look for in terms of assessing Industry 4.0 readiness. The study investigates skills that are essential for 21 st century workforce employability and takes into account the perspectives of alumni, university professors and employers. Data for this study was collected using surveys from undergraduate students, and focus groups comprising of Industry professionals, academics and alumni. Until today, there is a lack of consensus in the literature as to what the fundamental components for evaluating industry 4.0 readiness include. This study fills this gap by combining the perspectives of industry leaders/advisors, academic faculty, alumni and undergraduate students. Thus a triangular design approach is taken by considering the opinions of all parties involved to improve the validity of the results. It also provides a more holistic view of what can be improved on when it comes to the competences provided by universities. The results of the study showed that a gap exists between graduates’ skills and competencies required by the industry. The results are significant as they have practical implications for both employers and academia in bridging the skills gap.
Behavioral Advertising with Big Data: A Consumer’s Perspective

: With the increasing pace of internet usage, digital advertising is the fastest growing and promising field in the era. From the traditional advertising techniques to behaviorally targeted advertisements (BTA) over the web – promotional techniques have also undergone a complete change-making the market more challenging. “Big data” is an essential component increasing organizational competitive advantage. Moreover, recording privacy information of the consumers by online companies is the biggest challenge faced by the users. Drawing on the BTA literature, we investigated the awareness level among the Indian consumers regarding behavioral advertisements and big data. First, exploratory factor analysis is employed and factors related to consumer awareness are extracted by using a sample size of 408 college students. Secondly, awareness factors of behaviorally targeted advertisements are validated using confirmatory factor analysis (CFA). The research concludes four important factors about which the consumers are aware: “General awareness”, “Information use awareness”, “Technical awareness” and “motive awareness”. This research will be useful to plan better strategies for this sector as awareness is the first step to study the consumer’s psychology behind any new marketing trend. The study findings will contribute in adding to the literature of advertising and enhancing further avenues for research.
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?

Frank-Wolfe algorithm is an efﬁcient method for optimizing non-convex constrained problems. However, most of existing methods focus on the ﬁrst-order case. In real-world applications, the gradient is not always available. To address the problem of lacking gradient in many applications, we propose two new stochastic zeroth-order Frank-Wolfe algorithms and theoretically proved that they have a faster convergence rate than existing methods for non-convex problems. Speciﬁcally, the function queries oracle of the proposed faster zeroth-order Frank-Wolfe (FZFW) method is O ( n 1 / 2 d ✏ 2 ) which can match the iteration complexity of the ﬁrst-order counterpart approximately. As for the proposed faster zeroth-order conditional gradient sliding (FZCGS) method, its function queries oracle is improved to O ( n 1 / 2 d ✏ ) , indicating that its iteration complexity is even better than that of its ﬁrst-order counterpart NCGS-VR. In other words, the iteration complelxity of the accelerated ﬁrst-order Frank-Wolfe method NCGS-VR is suboptimal. Then, we proposed a new algorithm to improve its IFO (incremental ﬁrst-order oracle) to O ( n 1 / 2 ✏ ) . At last, the empirical studies on benchmark datasets validate our theoretical results.
Association of Obesity measurements with symptoms of Benign Prostatic Hyperplasia among adult men of Maputo: A cross-sectional survey

Background: The most common cause of lower urinary symptoms is benign prostatic hyperplasia (BPH) which constitutes a lot of health burden for older men. The etiology of BPH remains unclear and it is thought to be related with obesity. However, epidemiological studies on this relationship have reported conflicting results. Objective: This study was developed to assess the prevalence and bother of LUTS in the population of men aged 40 years and above in Maputo and also evaluate the association between the symptoms of BPH and different measures of obesity. Methods: The International Prostate Symptoms Score (IPSS) index was used to screen the symptoms of BPH, the choice of the most troublesome symptoms and perception of quality of life. Anthropometric data were collected using standard protocol and measures of obesity were derived. Results: The results showed that 33.85% of the studied population had symptoms suggestive of BPH. The severity of symptoms increases with age. Urgency (21.09%) and Nocturia (19.01%) were regarded more troublesome, and 36.7% of the studied population reported to experience a poor quality of life. According to the results, LUTS was positively correlated (P<0.05) with Waist Circumference and Waist-to-Hip Ratio, whereas Body Mass GSJ: Volume 8, Issue 7, July 2020 ISSN 2320-9186 16 GSJ© 2020 www.globalscientificjournal. com Index showed no significant correlation (P>0.05). Conclusions: This study indicates that LUTS affect a significant percentage of male adults population aged 40 years and above in Maputo, and the prevalence increases with age. Regrettably, the awareness is poor. There is need for a jointed effort to reverse this trend. It appears that abdominal fat distribution is the mediator of the association between obesity and prostate enlargement
Multi-Futures Hedging Strategy Based on Markov Regime-Switching Panel GARCH Model

This paper first develops a new Markov regime-switching panel GARCH model (MSPG) for multi-futures hedging, which has two merits: First, the panel GARCH model is more parsimonious than multivariate GARCH model. Secondly, the MSPG model allowing for regime shifts which voids the spurious volatility persistence problem. In this article, two-state MSPG model is applied to study the multi-futures hedging, and the comparison of hedging performance with pure panel GARCH is made, which indicates that MSPG model outperforms pure panel GARCH model by superior hedging effectiveness.
Mobile Health Apps That Help With COVID-19 Management: Scoping Review

Background Mobile health (mHealth) apps have played an important role in mitigating the coronavirus disease (COVID-19) response. However, there is no resource that provides a holistic picture of the available mHealth apps that have been developed to combat this pandemic. Objective Our aim is to scope the evidence base on apps that were developed in response to COVID-19. Methods Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews, literature searches were conducted on Google Search, Google Scholar, and PubMed using the country’s name as keywords and “coronavirus,” “COVID-19,” “nCOV19,” “contact tracing,” “information providing apps,” “symptom tracking,” “mobile apps,” “mobile applications,” “smartphone,” “mobile phone,” and “mHealth. ” Countries most affected by COVID-19 and those that first rolled out COVID-19–related apps were included. Results A total of 46 articles were reviewed from 19 countries, resulting in a total of 29 apps. Among them, 15 (52%) apps were on contact tracing, 7 (24%) apps on quarantine, 7 (24%) on symptom monitoring, and 1 (3%) on information provision. More than half (n=20, 69%) were from governmental sources, only 3 (10%) were from private organizations, and 3 (10%) from universities. There were 6 (21%) apps available on either Android or iOS, and 10 (34%) were available on both platforms. Bluetooth was used in 10 (34%) apps for collecting data, 12 (41%) apps used GPS, and 12 (41%) used other forms of data collection. Conclusions This review identifies that the majority of COVID-19 apps were for contact tracing and symptom monitoring. However, these apps are effective only if taken up by the community. The sharing of good practices across different countries can enable governments to learn from each other and develop effective strategies to combat and manage this pandemic.
Goodness-of-Fit Tests for Inhomogeneous Random Graphs

Hypothesis testing of random networks is an emerging area of modern research, especially in the high-dimensional regime, where the number of samples is smaller or comparable to the size of the graph. In this paper we consider the goodness-of-ﬁt testing problem for large inhomogeneous random (IER) graphs, where given a (known) reference symmetric matrix Q ∈ [0 , 1] n × n and m independent samples from an IER graph given by an unknown symmetric matrix P ∈ [0 , 1] n × n , the goal is to test the hypothesis P = Q versus || P − Q || ≥ ε , where ||·|| is some speciﬁed norm on symmetric matrices. Building on recent related work on two-sample testing for IER graphs, we derive the optimal minimax sample complexities for the goodness-of-ﬁt problem in various natu-ral norms, such as the Frobenius norm and the operator norm. We also propose practical implementations of natural test statistics, using their asymptotic distributions and through the parametric bootstrap. We compare the performances of the different tests in simulations, and show that the proposed tests outperform the baseline tests across various natural random graphs models.
Nirbheek Backyard Poultry Rearing – A Tool to Fight Poverty in Rural Area of Bhilwara District in Rajasthan

The present investigation was conducted on backyard poultry production system in rural area of Bhilwara district in Rajasthan. Four villages were selected from the identified tehsils on the basis of maximum number of beneficiaries under RMoL. Ten farmers from each village were selected randomly. Five of them having improved Nirbheek breed (beneficiaries) under RMoL and rest of five having desi bird (non-beneficiaries) were selected thus a making a sample of 40 respondents. The average egg production per bird per year was 142 in improved Nirbheek bird and 56 in desi birds. Average age at first egg 5.6 months I improved bird and 6.3 months in local birds. Hence it is conducted that the performance of beneficiaries respondents (under RMoL i.e. improved breed) was better than non beneficiaries respondents (under non RMoL i.e. desi bird).
Heterosis in Interspecific Hybrids of Gossypium

In India intraspecific and interspecific (G. kirsutum × G. barbadense) hybrids of cotton are cultivated in a large scale. The interspecific hybrids have certain drawbacks like late flowering, late maturity, tall plants and low boll weight. The present study was undertaken to see whether heterosis for early maturity can combine with heterosis for yield and yield components. Three varieties of G. hirsutum were crossed with two varieties of G. barbadense. A comparison of the parents with hybrids showed significant degree of heterosis for all the characters studied. Heterosis was high and positive for plant height, boll number and seed cotton yield and negative for squaring, flowering, maturity and boll weight. Results indicate it is possible to obtain early maturing interspecies crosses which show a high degree of hybrid vigour for yield and possess good fibre qualities.
Available nutrients in soil are influenced by planting techniques and weed management options in wheat

There are continue disturbance of soil under conventional wheat system as repetitive tillage practices for crop establishment results negative impact like; more weed emergence, depletion of soil nutrients and economical losses; laborious and hazardous to environment by affecting sustainability of system and creating pollution. Zero tillage practices are avoiding soil disturbance for seedbed preparation; enhance the sustainability by conserving the resources. Residue retention or application as mulching act as soil condition modifier, reducing the weed population by soil covering and after decomposition release of organic acid in soil help increase the availability of nutrient. Such practices are kept in field experiment to evaluate the zero tillage wheat with variable rate of residue application as mulch in zero tillage and weed management practices. Result revealed that zero-till wheat with 6 ton ha rice residue as mulch application having higher available N, P, K, OC, SMBC with slightly lower pH and EC; while weed management practices shown Sulfosulfuron + metsulfuron @ 25+2 g a.i. ha higher availability of N, P, K, OC, SMBC with slightly lower pH and EC in experimental trial.