Miracle-dz/UniFAR-FTUs huggingface dataset:
Gross Moist Stability Analysis . Part I : Assessment of 1 Satellite-based Products in the GMS Plane

4 New diagnostic applications of the gross moist stability (GMS) are proposed with demon5 strations using satellite-based data sets. The GMS is investigated from two di↵erent aspects: 6 time-dependent and quasi-time-independent aspects. Time-dependent GMS is examined in 7 the “GMS plane”. In this plane, one can easily determine whether the convection is in 8 the amplifying phase or in the decaying phase. The GMS plane acts as a phase plane in 9 which each convective life-cycle can be viewed as an orbiting fluctuation around some critical 10 line. The reason for this behavior and its importance are discussed. Quasi-time-independent 11 GMS is also investigated by plotting geographic variability of it. Various definitions of the 12 quasi-time-independent GMSs are proposed, and their interpretations are discussed. At the 13 end, how this study is relevant or irrelevant to a moisture-mode theory is discussed with 14 simple semi-theoretical demonstrations. Through the discussion, pointed out are general 15 misconceptions in the past moist static energy (MSE) budget studies which, implicitly or 16 explicitly, attempted to associate the temporal variability of MSE budgets over a specific 17 region with the stability of the moisture mode. 18
JOB QUALITY AND ECONOMIC DEVELOPMENT Qualité de l’emploi et développement économique

The paper focuses on the impact of job quality on long-term per-capita income in the world. In order to do that, it is necessary to build a synthetic indicator of job quality by taking account of the multidimensional nature of this concept, as defined by the European Commission, the ILO with the concept of “decent work” or by the OECD. We propose an estimation of the steadystate per-capita income for a panel of one hundred and fifty countries. The Two-Stage Least Square Method is used to correct potential problems of endogeneity. In order to implement a significant variable, we propose, in a first time, an estimation of the steady-state per-capita income in the world (150 countries). After that, we restrict our study on developing countries (105 countries), and finally, we restrict our analysis on emerging countries (29 countries). The findings show that developing and emerging countries with higher job quality have a higher steady-state level, and also, our findings show that job quality influence positively the conditional convergence. Résumé : L’article se concentre sur l'impact de la qualité de l’emploi sur le revenu par habitant à long terme. Afin de faire cela, il est nécessaire de construire un indice de qualité de l’emploi fondé sur les définitions internationales (decent work de l’OIT ou OCDE), composées de 9 indicateurs répartis en quatre dimensions bien distinctes en utilisant l’Analyse en Composantes Principales (ACP) pour mesurer le poids de chaque dimension dans la construction de l’indice. Nous proposons une évaluation du revenu par habitant dans 29 pays émergents (voir figure 1), mais avant, pour rendre notre indicateur significatif, nous le construisons dans le monde entier avant de le restreindre aux pays en développement et aux pays émergents. Dans un premier temps, nous cherchons à déterminer l’impact de la qualité de l’emploi sur le revenu par habitant de long terme dans les pays émergents en utilisant un modèle de type Mankiw, Romer, et Weil (1992) que nous modifierons afin d’intégrer l’impact potentiel de la qualité de l’emploi. L’objectif recherché est d’évaluer les effets de long terme d’une mise en application de politiques favorables à l’amélioration de la qualité des emplois. La méthode des doubles moindres carrés (DMC) est utilisée pour corriger des éventuels problèmes d’endogénéité. 1 Doctorant en sciences économiques, Université Paris-Est Marne-la-Vallée et Université Paris-Est Créteil: ERUDITE et EA437, TEPP CNRS : FR3435 ; adrien.frontenaud@u-pem.fr
Impacts of RETN genetic polymorphism on breast cancer development

The adipokine resistin is linked with obesity, inflammation and various cancers, including breast cancer. This study sought to determine whether certain polymorphisms in the gene encoding resistin, RETN, increase the risk of breast cancer susceptibility. We analyzed levels of resistin expression in breast cancer tissue and samples from The Cancer Genome Atlas database. We also examined associations between four RETN single nucleotide polymorphisms (SNPs; rs3745367, rs7408174, rs1862513 and rs3219175) and breast cancer susceptibility in 515 patients with breast cancer and 541 healthy women without cancer. Compared with wild-type (GG) carriers, those carrying the AG genotype of the RETN SNP rs3219175 and those carrying at least one A allele in the SNP rs3219175 had a higher chance of developing breast cancer (adjusted odds ratio, AOR: 1.295, 95% confidence intervals, CI: 1.065-1.575 and 2.202, 1.701-2.243, respectively). When clinical aspects and the RETN SNP rs7408174 were examined in the breast cancer cohort, the CT genotype was linked to late-stage disease, while women with luminal A disease and at least one C allele were likely to progress to stage III/IV disease and to develop highly pathological grade III disease. Moreover, resistin-positive individuals were at greater risk than resistin-negative individuals for developing pathological grade III disease (OR: 5.020; 95% CI: 1.380-18.259). This study details risk associations between resistin and RETN SNPs in breast cancer susceptibility in Chinese Han women.
The Long-Term Effects of Sport-related Concussions on Cog- nition in Interscholastic and Collegiate Athletes: A Meta-anal- ysis of Cross-Sectional Studies

Background: Over the past twenty years researchers have conducted cross sectional and longitudinal studies to examine how concussions could impact cognitive functions. Previous meta-analysis exploring the effect of a sport-related concussion on cognition lacked matched control groups and only assessed short-term effects ranging 7-14 days. There is increasing evidence and interest in examining the long term cognitive effects of concussions spanning over several weeks to months following the injury. Objective: The purpose of this meta-analysis was to synthesize this concussion-cognition literature and determine the long term effects of concussion spanning 7 days up to 1 year post-injury. Methods: A literature search was conducted to locate published cross-sectional studies on concussion and cognition in interscholastic and intercollegiate athletes. A total of eight studies published between August 2006 and May 2017 were included encompassing 915 athletes from 17 different sports. Neuropsychological assessments were conducted with these athletes after 7 days up to a year. Results: We found 8 studies examining the effects of concussions on cognition in athletes. Using the CMA software the overall effect of concussion on cognition was significant when compared to athletes without a history of concussions (g = -0.413, p < 0.014). More specifically of the three cognitive domains, executive function (g = -0.645, p < 0.033) and attention and processing speed (g = -0.429, p < 0.006) showed significant effect sizes while memory (g = -0.314, p < 0.128) was not significant. Conclusion: Our findings suggest that concussions not only have an acute negative impact on cognitive functions, but these effects can last up to a year post-injury affecting the executive function, attention and processing speed domains. We discuss the limitations of studies and implications for future research.
One-loop superconformal and Yangian symmetries of scattering amplitudes in N = 4 super

Recently it has been argued that tree-level scattering amplitudes in N = 4 Yang-Mills theory are uniquely determined by a careful study of their superconformal and Yangian symmetries. However, at one-loop order these symmetries are known to become anomalous due to infrared divergences. We compute these one-loop anomalies for amplitudes defined through dimensional regularisation by studying the tree-level symmetry transformations of the unitarity branch cuts, keeping track of the crucial collinear terms arising from the holomorphic anomaly. We extract the superconformal anomalies and show that they may be cancelled through a universal one-loop deformation of the treelevel symmetry generators which involves only tree-level data. Specialising to the planar theory we also obtain the analogous deformation for the level-one Yangian generator of momentum. Explicit checks of our one-loop deformation are performed for MHV and the 6-point NMHV amplitudes.
Tax Incentives and Impact on Investment In Pakistan

The objective of this research paper is to study the incentivized tax policy and its impact on investments in Pakistan. The study mainly relies on quantitative method of inquiry and is clearly aimed at providing insight about the impact of change in Tax and Tariff rates on domestic investment while examining and evaluating the impact of Tax and Tariff rates on FDI. The independent variables used for this study include Corporate Tax rates and Tariff rates while dependent variables are domestic investment and foreign direct investment (FDI). The research has been conducted using the data collected over a period of 25 years (1990 to 2014). Other sources/methods include secondary data analysis, inferential statistics and series data analysis involving multiple regressions for analyzing the impact of corporate tax, customs tariff rates and other tax incentives on FDI and domestic investment. The study uses both ARDL and regression analysis approaches to examine the relationship between corporate tax rate, tariff rate and domestic investment. Findings of the study reveal that corporate tax rate is significantly negatively associated with domestic investment and FDI. The study, however, also points to the fact that import tariff rates have no statistically significant relationship with foreign direct investment or domestic investment. It has been noticed that decrease in corporate tax rate results in significant increase in domestic investment and FDI and therefore it has been suggested that the government should take steps to rationalize the tax and tariff rates to attract investment. It has been further suggested that investment friendly environment may be provided to the investors through competitiveness, transparency, consistency and rationalization of tax policies. The study underlines the fact that tax policy should not only be focused on revenue collection but it should take a holistic view and planned and implemented in a manner that helps to promote investment leading to improvement of overall economic indicators of the country.
ALLEGEMENT DES CHARGES ADMINISTRATIVES ET LUTTE CONTRE LA CORRUPTION : BONNES PRATIQUES

SOMMAIRE Le terme de « paperasserie », souvent utilisé pour évoquer les excès de formalités administratives, est « une expression ironique moquant une réglementation excessive ou une trop grande rigidité dans le respect des procédures formelles qui passent pour inutiles ou bureaucratiques et nuisent à la conduite de l’action publique » (Anti-Corruption Business Portal, vocabulaire de la corruption). Ce type d’excès constitue un fardeau disproportionné pour les entreprises et les citoyens, qui peut prendre des formes diverses : rigidité des procédures administratives, demande de licences superflues, processus de prise de décision interminables impliquant de nombreux acteurs ou comités, adoption d’innombrables règles spécifiques qui ralentissent les opérations commerciales, etc. Une large majorité d’experts s’accordent à dire que l’excès de formalités administratives pousse à la concussion et à la corruption.
Traffic Optimization for Multimodal Cooperative Networks

Traffic Optimization for Multimodal Cooperative Networks by Krishna Jyothi Boppana Resource allocation and traffic optimization are crucial problems in multi-traffic wireless networks as resources are scarce and the traffic is shared by multiple users. When application performance is the key concern in a network, utility is considered as a reliable metric. A lot of research has been done on capacity limits of wireless networks under some assumptions on the physics of propagation and some restrictions on the communication strategy employed by the nodes. It has been proved that due to the physical limitation that holds for any any communication system, the decrease in throughput problem as wireless nodes increase in a fixed area cannot be overcome. In this thesis, multimodal networks, where other modes of communication like wires, infrared links may operate in addition to wireless nodes to improve the performance of the wireless network are studied and rate and power optimization problems are considered. In this thesis, rate and power optimizations for heterogeneous traffic multimodal networks are proposed by solving them separately. First, the total rate is divided between delay-sensitive data and voice to achieve maximum utility in the network and in the next step, we divide transmit power between the wireless channel and the wired channel for a source-destination pair multimodal network and a diamond cooperative multimodal network implemented with Lanemann protocol. We consider a utility function for delay-sensitive data as a function of rate, reliability and delay and, the utility function of voice is a function of rate and delay. Traffic optimization problem is then solved by maximizing the sum of utilities of all voice and data users in the network and optimal rates that can be allocated to data and voice are calculated. Power allocation for a source-destination pair multimodal networks is done by optimizing instantaneous rate and outage probability in the network. For implementing a cooperative wireless relay network, we consider two cases: wire place between source and relay and wire placed between relay and destination. Optimal power allocation to wired and wireless channels is done by analytically minimizing the high-SNR outage probability expressions.
Municipal transparency in Spain: Analysis of the most influential factors

Introduction. This article aims to determine the most influential factors in the degree of transparency of Spanish municipalities, according to the Municipal Transparency Index (ITA). In particular, the study focuses on the detailed analysis of four possible factors of influence: political party, number of inhabitants, geographical location, and level of per capita income of the municipality. The conclusion is that, at the moment, and given the evolution of this Index, none of the previous factors constitutes a determinant in the degree of transparency. In order to carry out a more extensive and precise analysis it would be necessary to expand the methodological procedures followed by the Municipal Transparency Index (ITA) and include new factors of study. Methods. The study is based on literature review, in-depth interviews with a panel of experts and the study of the factors that influence the most the degree of municipal transparency. Results and conclusions. The progress experienced in municipal transparency is significant but it would be advisable to also evaluate and improve the procedures used to calculate the Municipal Transparency Index (ITA).
Modified UKF method study for parameters identification of hysteresis model

This article focuses on adopting the UKF state observer to hysteresis model parameter identification. Scaled UKF are reviewed, after that a modified Unscented Kalman filter (UKF) parameter identification method is proposed. In this method, the one point a step observation often used in UKF identification is replaced with several time points, which are chose randomly in ‘future’ observed values. The random sample largely decrease the calculation effort of the inverse of the observation covariance matrix, while obtain a more easy converge and robust estimation. At the end of this article, numerical simulation is presented by identify a complete brief Bouc-wen model parameters to show the effectiveness of this method.
GoMAMN Strategic Bird Monitoring Guidelines: Waterfowl-Strategic Bird Monitoring Guidelines for the Northern Gulf of Mexico

SUGGESTED CITATION: DeMaso, S. J., M. G. Brasher, J. S. Gleason. 2019. GoMAMN Strategic Bird Monitoring Guidelines: Waterfowl. Pages 229-274 in R. R. Wilson, A. M. V. Fournier, J. S. Gleason, J. E. Lyons, and M. S. Woodrey (Editors), Strategic Bird Monitoring Guidelines for the Northern Gulf of Mexico. Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228, Mississippi State University. 324 pp. Pair of Mottled Ducks (Anas fulvigula). Photo credit: Ron Bielefeld Strategic Bird Monitoring Guidelines for the Northern Gulf of Mexico
The Role Of The Primary Care Physician In Diagnosis And Treatment Of Eating Disorders

The role of the primary care physician (PCP) is fundamental and central in diagnosis and treatment of eating disorders eating disorders (eating disorders)  anorexia nervosa, bulimia nervosa, binge eating disorder (BED) and eating disorders not otherwise specified (EDNOS). The above role is articulated in the various moments that go from health promotion, to prevention (primary, secondary and tertiary), to early diagnosis with the identification of new cases, to the evaluation of seriousness, to the treatment of mild and medium cases severity, sending to the specialist, managing any complications and follow-up.
Foreign currency denominated indebtedness and the fiscal multiplier∗

This paper aims at explaining why the public spending multiplier is generally low, even close to zero, in emerging economies (EMEs). We claim that this can be related to the foreign currency denominated debt borne by private agents. Indeed, according to a recent literature, the real exchange rate can depreciate following an increase in public spending. In this case, the debt burden denominated in foreign currency increases. Thus, the domestic firms’ balance sheet structure deteriorates, which raises their external finance premium and pushes private investment down. Finally, this may offset the stimulating impact of the initial public spending shock. In this paper, we first show that this explanation is empirically valid: the impulse response functions from a PCH-VAR indicate that the the higher the share of the external debt denominated in foreign currency, the lower the public spending multiplier. Then, we demonstrate that such an explanation and its underlying mechanisms are theoretically valid in a twocountry DSGE model with incomplete and imperfect international financial markets, sticky prices, financial frictions and external indebtedness. JEL Classification: E62; F34; F41
Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study

Data-driven defect prediction has become increasingly important in software engineering process. Since it is not uncommon that data from a software project is insufficient for training a reliable defect prediction model, transfer learning that borrows data/konwledge from other projects to facilitate the model building at the current project, namely cross-project defect prediction (CPDP), is naturally plausible. Most CPDP techniques involve two major steps, i.e., transfer learning and classification, each of which has at least one parameter to be tuned to achieve their optimal performance. This practice fits well with the purpose of automated parameter optimization. However, there is a lack of thorough understanding about what are the impacts of automated parameter optimization on various CPDP techniques. In this paper, we present the first empirical study that looks into such impacts on 62 CPDP techniques, 13 of which are chosen from the existing CPDP literature while the other 49 ones have not been explored before. We build defect prediction models over 20 real-world software projects that are of different scales and characteristics. Our findings demonstrate that: (1) Automated parameter optimization substantially improves the defect prediction performance of 77% CPDP techniques with a manageable computational cost. Thus more efforts on this aspect are required in future CPDP studies. (2) Transfer learning is of ultimate importance in CPDP. Given a tight computational budget, it is more cost-effective to focus on optimizing the parameter configuration of transfer learning algorithms (3) The research on CPDP is far from mature where it is ‘not difficult’ to find a better alternative by making a combination of existing transfer learning and classification techniques. This finding provides important insights about the future design of CPDP techniques.
Emotion regulation strategies as predictors of internet addiction and smartphone addiction in adolescents

The current study aims to examine the strategies of adolescents’ emotion regulation to predict the Internet addiction and the smartphone addiction. The study participants included totally 262 high school students with 132 females (50.4%) and 130 (49.6%) males. Students’ ages ranged between 14 and 19 with average age being 16.57, SD=1.13. Emotion Regulation Scale for Adolescents, Young Internet Addiction Test-Brief Form, Smartphone Addiction Scale-Brief Form, and Personal Information Form were used as instruments to collect data in the current research. Based on the research findings, it was seen that external-dysfunctional emotion regulation, internal-dysfunctional emotion regulation, and internal-functional emotion regulation significantly predicted both the Internet addiction and the smartphone addiction; however, external-functional emotion regulation predict neither of the variables on significant levels. Emotion regulation strategies overall explained the 38% of variance in the Internet addiction and 19% of that in the smartphone addiction. The current research findings were discussed and interpreted, and suggestions were included for relevant researchers.
Automatic Transcription Software: Good Enough for Accessibility? A Case Study from Built Environment Education

The increasing use of multimedia in learning resources in higher education poses a challenge for learners with hearing disabilities, unless these are accompanied by transcripts or captions. This paper reports on a small study where six Automatic Transcription Software (ATS) were analysed for their accuracy. Although economical and timesaving, at present, it seems an automatically generated transcript is not yet accurate enough to be an accessibility aid for the subjects relating to built environment sector.
Statistical Analysis of DNS Abuse in gTLDs: Intermediate Draft Report

Commissioned by the Competition, Consumer Trust, and Consumer Choice Review Team (CCTRT) with the support of ICANN, this report is focused on determining rates of common forms of abusive activities in the domain name system. The study aims to compare rates of these activities between new and legacy gTLDs. This intermediate draft report is meant as a preview of the study’s data, methodology, and findings for review by the CCTRT. The final report is expected in July 2017.