Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the Impact of Off- and On-the-Job Training on Employment Outcomes: A Counterfactual Evaluation of the Pipol Program

This evaluation study aims to assess the impact of PIPOL, an integrated program of active labor policies, on the employment integration of benefit recipients. To address the issue, we have resorted to a counterfactual approach with data from two main sources: the program administration and compulsory communications on employment and unemployment spells. We found a net impact of 5% on average for on-the-job training, but no impact for off-the-job training. On-the-job training also affects the probability to find permanent work (+3%). This is consistent with the view that young people have excellent theoretical, but very little work-related competences. Off-the-job training does affect the probability to experience at least one labor contract after 2016. These results are partly due to a lock-in effect, namely the tendency of those who attend training programs to delay their job search. Interestingly, we found that the program has a different impact for different typologies of recipients and different types of intervention. In a nutshell, active labor policy works when it generates work-related competences.
Factors Influencing Tourism-Horticulture Linkage among Smallholder Farmers in Zanzibar

Despite the government support for inter-sectoral linkages between tourism and other economic sectors, there is inadequate information on the linkage between tourism and horticulture that employ large segment of population in Zanzibar. Failure to establish this linkage has undermined the potential contribution of tourism to the local economy that is driven by smallholder farmers mainly engaged in horticulture farming. Drawing from this background, this paper examined factors influencing tourism-horticulture linkage among smallholder farmers in Zanzibar. Findings revealed that factors influencing tourism-horticulture linkage are quality of horticultural products, hotels’ tourist zones, nationality of hotel managers and consistency of vegetables and fruits supplied by farmers. Failure of farmers to take advantage of emerging opportunities in the tourist industry is partly due to inadequate enterprise mind-set among smallholder farmers. The paper recommends that strategic intervention is crucial to inculcate entrepreneurial mind-set among smallholder farmers to take advantage of emerging tourism market in Zanzibar.
Poliovirus 2 A Protease Triggers a Selective Nucleo-Cytoplasmic Redistribution of Splicing Factors to Regulate Alternative Pre-mRNA Splicing

Poliovirus protease 2A (2A) obstructs host gene expression by reprogramming transcriptional and post-transcriptional regulatory events during infection. Here we demonstrate that expression of 2A induces a selective nucleo-cytoplasm translocation of several important RNA binding proteins and splicing factors. Subcellular fractionation studies, together with immunofluorescence microscopy revealed an asymmetric distribution of HuR and TIA1/TIAR in 2A expressing cells, which modulates splicing of the human Fas exon 6. Consistent with this result, knockdown of HuR or overexpression of TIA1/TIAR, leads to Fas exon 6 inclusion in 2A-expressing cells. Therefore, poliovirus 2A can target alternative pre-mRNA splicing by regulating protein shuttling between the nucleus and the cytoplasm. Citation: Álvarez E, Castelló A, Carrasco L, Izquierdo JM (2013) Poliovirus 2A Protease Triggers a Selective Nucleo-Cytoplasmic Redistribution of Splicing Factors to Regulate Alternative Pre-mRNA Splicing. PLoS ONE 8(9): e73723. doi:10.1371/journal.pone. 0073723 Editor: Emanuele Buratti, International Centre for Genetic Engineering and Biotechnology, Italy Received June 27, 2013; Accepted July 30, 2013; Published September 16, 2013 Copyright: 2013 Álvarez et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was supported by grants from the Spanish Ministerio de Economı́a y Competitividad through FEDER funds (BFU2011-29653 (JMI) and BFU2012-31861 (LC)). The CBMSO receives an institutional grant from Fundación Ramón Areces. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: ealvarez@cbm.uam. es (EA); jmizquierdo@cbm.uam. es (JMI)
On Euler systems of rank $r$ and their Kolyvagin systems

A BSTRACT . In this paper we set up a general Kolyvagin system machinery for Euler systems of rank r (in the sense of Perrin-Riou) associated to a large class of Galois representations, building on our previous work on Kolyvagin systems of Rubin-Stark units and generalizing the results of Kato, Rubin and Perrin-Riou. Our machinery produces a bound on the size of the classical Selmer group attached to a Galois representation T (that satisﬁes certain technical hypotheses) in terms of a certain r × r determinant; a bound which remarkably goes hand in hand with Bloch-Kato conjectures. At the end, we present an application based on a conjecture of Perrin-Riou on p -adic L -functions, which lends further evidence to Bloch-Kato conjectures.
Features of 80 S mammalian ribosome and its subunits

It is generally believed that basic features of ribosomal functions are universally valid, but a systematic test still stands out for higher eukaryotic 80S ribosomes. Here we report: (i) differences in tRNA and mRNA binding capabilities of eukaryotic and bacterial ribosomes and their subunits. Eukaryotic 40S subunits bind mRNA exclusively in the presence of cognate tRNA, whereas bacterial 30S do bind mRNA already in the absence of tRNA. 80S ribosomes bind mRNA efficiently in the absence of tRNA. In contrast, bacterial 70S interact with mRNA more productively in the presence rather than in the absence of tRNA. (ii) States of initiation (Pi), pretranslocation (PRE) and post-translocation (POST) of the ribosome were checked and no significant functional differences to the prokaryotic counterpart were observed including the reciprocal linkage between A and E sites. (iii) Eukaryotic ribosomes bind tetracycline with an affinity 15 times lower than that of bacterial ribosomes (Kd 30kM and 1–2 kM, respectively). The drug does not effect enzymatic A-site occupation of 80S ribosomes in contrast to non-enzymatic tRNA binding to the A-site. Both observations explain the relative resistance of eukaryotic ribosomes to this antibiotic.
PENGARUH CSR TERHADAP NILAI PERUSAHAAN DENGAN GCG SEBAGAI PEMODERASI

Tujuan penelitian ini adalah menganalisis bagaimana pengaruh Corporate Social Responsibility terhadap nilai perusahaan. Kedua, mengetahui apakah Good Corporate Governance memoderasi hubungan antara Corporate Social Responsibility dengan nilai perusahaan. Penentuan sampel dilakukan menggunakan metode purposive sampling, yaitu teknik sampling dengan menggunakan pertimbangan dan batasan tertentu sehingga sampel yang dipilih relevan dengan tujuan penelitian. Jumlah sampel yang diperoleh sebanyak 12 perusahaan yang terdaftar di IICG. Data dianalisis dengan analisis deskriptif dan analisis regresi berganda. Hasil analisis menunjukkan bahwa Corporate Social Responsibility secara signifikan berpengaruh positif terhadap nilai perusahaan. Hal ini berarti semakin baik penerapan CSR oleh perusahaan maka nilai perusahaan akan semakin meningkat. Kedua, Good Corporate Governance sebagai variabel moderating memperlemah terhadap hubungan antara Corporate Social Responsibility dan nilai perusahaan.
Modelling of Harvesting Machines’ Technical Parameters and Prices

Technical and performance parameters of agricultural machines directly impact the operational efficiency and entire crop production. Sometimes, overestimation of technical and dimensional parameters of harvesting equipment is carried out with the intention of enhancing the operational efficiency, but this approach might turn out to negatively impact productivity due to unbalanced system design, and ultimately lead to financial losses. Therefore, a balanced preliminary estimation of technical parameters of equipment needs to be carried out before investment quantification, especially on the large capital-intensive machinery units, such as harvesting systems. In addition, availability of ready to use, simplified models for the price estimation from input technical parameters would reduce the complexity involved in this latter analysis. The current study is an attempt to provide tools to address these issues. A large dataset of combine and forage harvesters has been analyzed to investigate relevant parameter-to-parameter and parameter-to-price relations. The study of the available data allowed the determination of indicative models for the estimation of machine price, power, weight, tank capacity and working width. A significant correlation between power and price (R2 > 0.8) has been observed for two groups of harvesting machines. For combine harvesters, satisfactory correlations were found between power and weight, and power and tank capacity. A regression model for combine harvesters showed a satisfactory behavior at predicting the average working width that can be operated by a given power. On the other hand, for the forage harvesting group, the relation between these quantities has lower values; therefore, for better accuracy of the association, more sophisticated considerations should be incorporated, taking into account other parameters.
An anthropomorphic deformable phantom for brain shift simulation

The prominent soft tissue deformation during a neurosurgical procedure, the so called brain shift phenomenon, affects the accuracy of the surgery greatly. Although the feasibility of numerous intraoperative modalities is investigated for the brain shift compensation, another state-of-the-art interventional imaging modality C-Arm CT is rarely studied in this context. Due to the lack of clinical data, a suitable anthropomorphic deformable phantom is indispensable. The purpose of this study is to describe and determine the characteristics of a multi-modal deformable brain phantom made out of polyurethane and ceramic composite bone material. The phantom is made of six parts: skin, skull, brain, blood vessels, ventricles and an inflatable tumor. Fluid can be filled into the blood vessels, the ventricles and the tumor in order to simulate the brain shift phenomenon. Such an anthropomorphic phantom is both visible with MR and C-Arm CT scanner. In order to evaluate the clinical relevance of our phantom, we induce deformations with different degrees by in- and deflated the embedded tumor in 5 steps. Both MR and C-Arm CT (cone beam CT) images are acquired in each step. The induced deformation is estimated by performing mono-modal deformable registration with symmetric normalization method (SyN) both on MR and cone beam CT (CBCT) acquisitions. The maximum displacement estimated with MR and CBCT pair is 29.6mm and 28.1mm. This result correlates the clinical findings.
Morphological analysis of H i features – III. Metric space technique revisited

This is the third paper on the morphological analysis of H i features. As in the first paper, we use the mathematical formalism of the metric space technique, developed by F. C. Adams and J. Wiseman, to quantify the complexity of 21-cm interstellar maps. This method compares the one-dimensional ‘output functions' of the maps, which characterize specific morphological and kinematical aspects of the maps. The H i feature catalogue, from our first paper, is increased from 28 to 51 features of known origin, such as star formation regions, the environment of Wolf–Rayet (WR) stars and supernova remnants. The maps come from the Canadian Galactic Plane Survey (CGPS), and have a resolution of 1 cos δ arcmin. Also, significant improvements are applied to the metric space technique. We present a new data reduction technique, new and improved ‘output functions' and a better characterization of the noise propagation and uncertainties in functions. We again look for correlations between the complexity of the H i features and other intrinsic aspects such as age, excitation parameter u, wind velocity, |z| and distance. Many interesting correlations are measured, for example: (i) more complex H i is associated with intense flux emission from star formation regions; (ii) the higher the wind velocity of the WR star, the more complex the H i topology; (iii) the higher the H i feature above the Galactic plane, the less complex its topology.
Machine Learning for Identifying Medication-Associated Acute Kidney Injury

One of the prominent problems in clinical medicine is medication-induced acute kidney injury (AKI). Avoiding this problem can prevent patient harm and reduce healthcare expenditures. Several researches have been conducted to identify AKI-associated medications using statistical, data mining, and machine learning techniques. However, these studies are limited to assessing the impact of known nephrotoxic medications and do not comprehensively explore the relationship between medication combinations and AKI. In this paper, we present a population-based retrospective cohort study that employs automated data analysis techniques to identify medications and medication combinations that are associated with a higher risk of AKI. By integrating multivariable logistic regression, frequent itemset mining, and stratified analysis, this study is designed to explore the complex relationships between medications and AKI in such a way that has never been attempted before. Through an analysis of prescription records of one million older patients stored in the healthcare administrative dataset at ICES (an independent, non-profit, world-leading research organization that uses population-based health and social data to produce knowledge on a broad range of healthcare issues), we identified 55 AKI-associated medications among 595 distinct medications and 78 AKI-associated medication combinations among 7748 frequent medication combinations. In addition, through a stratified analysis, we identified 37 cases where a particular medication was associated with increasing the risk of AKI when used with another medication. We have shown that our results are consistent with previous studies through consultation with a nephrologist and an electronic literature search. This research demonstrates how automated analysis techniques can be used to accomplish data-driven tasks using massive clinical datasets.
The influence of intrinsic motivation and contextual factors on MOOC students’ social entrepreneurial intentions

ABSTRACT This paper looks in more depth at an analysis of MOOC students’ social entrepreneurial intentions, their profiles and motivations, especially as regards the tensions between internal and external motivations and the influence of the environment on the decision to set up a social enterprise. It also offers insights into online education for social entrepreneurs, as we believe that a better understanding of such training and its participants may help to stimulate social entrepreneurship from the educational sphere. Using a large sample obtained from a survey of 1457 respondents, our study offers a new perspective on distance learning social entrepreneurship students’ socio-demographic characteristics and the importance of both their desire for self-fulfilment and the influence of their environment.
Modelling Kepler red giants in eclipsing binaries: calibrating the mixing-length parameter with asteroseismology

Stellar models rely on a number of free parameters. High-quality observations of eclipsing binary stars observed by Kepler offer a great opportunity to calibrate model parameters for evolved stars. Our study focuses on six Kepler red giants with the goal of calibrating the mixing-length parameter of convection as well as the asteroseismic surface term in models. We introduce a new method to improve the identification of oscillation modes which exploits theoretical frequencies to guide the mode identification ('peak-bagging') stage of the data analysis. Our results indicate that the convective mixing-length parameter (alpha) is about 14% larger for red giants than for the Sun, in agreement with recent results from modelling the APOGEE stars. We found that the asteroseismic surface term (i.e. the frequency offset between the observed and predicted modes) correlates with stellar parameters (Teff, log g) and the mixing-length parameter. This frequency offset generally decreases as giants evolve. The two coefficients a_-1 and a_3 for the inverse and cubic terms that have been used to describe the surface term correction are found to correlate linearly. The effect of the surface term is also seen in the p-g mixed modes, however, established methods for correcting the effect are not able to properly correct the g-dominated modes in late evolved stars.
Effects of alpha-ketoglutarate on lifespan and functional aging of Drosophila melanogaster flies

The effects of an alpha-ketoglutarate-supplemented diet on lifespan and functional senescence were evaluated in the Canton S strain of Drosophila melanogaster. The results suggest that effects of dietary alpha-ketoglutarate (AKG) are dose-and gender-dependent. In males, diets containing 1-10 mM AKG did not affect mean and maximum lifespans, except that an increased maximum lifespan observed at 10 mM AKG. Diet with 20 mM AKG shortened median lifespan and had no effect on maximum lifespan of males. In females, diets with low concentrations of AKG (1 and 5 mM) did not affect lifespan, whereas diets supplemented with 10 and 20 mM AKG increased both median and maximum lifespans. At a lifespan-prolonging concentration (10 mM), AKG decreased fecundity, increased cold resistance and had no effect on climbing activity or resistance to oxi dative stress in flies of either gender at middle (24 days) and old (40 days) ages. Moreover, middle-aged AKG-fed females but not males were more resistant to heat stress that was accompanied by higher levels of HSP90 protein as compared with controls. Middle-aged flies on AKG-supplemented diets showed elevated oxidative stress and had higher total protein and triacylglycerol levels as compared with controls. Hence, anti-aging effects of AKG do not seem to be related to preventing oxidative stress development but involve metabolic rearrangement and synthesis of specific protective proteins, which aid to resist destructive processes with age.
A reconstruction algorithm based on topological gradient for an inverse problem related to a semilinear elliptic boundary value problem

In this paper we develop a reconstruction algorithm for the solution of an inverse boundary value problem dealing with a semilinear elliptic partial differential equation of interest in cardiac electrophysiology. The goal is the detection of small inhomogeneities located inside a domain Ω, where the coefficients of the equation are altered, starting from observations of the solution of the equation on the boundary ∂Ω. Exploiting theoretical results recently achieved in [], we implement a reconstruction procedure based on the computation of the topological gradient of a suitable cost functional. Numerical results obtained for several test cases finally assess the feasibility and the accuracy of the proposed technique.
Migratory Moods and Temporary Employment of Students of Central and Eastern Europe

The article is devoted to the research and analysis of the migratory moods of students of higher education institutions of Central and Eastern Europe and their temporary employment (paid work and volunteering) during studies as an important factor of their life prospects. Countries that are interested in ‘brain gain’ and know their economic cost are pursuing an active and purposeful migration policy to attract highly qualified specialists from developing countries. These countries have a facade of the democratic regime, general inefficiency of economies, the decline in the level of culture and education in society, corruption, criminal capitalism, the ‘oligarchic’ concept of governance, all of which become the push factors driving the migration of young people with higher and post-university education. The results of the international study are based on a sample database of surveyed students in the 2018/19 academic year in the Eastern higher education regions of the European Higher Education Area. The study was conducted in higher education institutions in five countries (Slovakia, Romania, Ukraine, Serbia and Hungary). According to the study results, the more economically developed country the lower the level of migratory moods of young people. [. ]
Estimating the extreme behaviors of students performance using quantile regression – evidences from Taiwan

The two-stage least squares approach together with quantile regression analysis is adopted here to estimate the educational production function. Such a methodology is able to capture the extreme behaviors of the two tails of students' performance and the estimation outcomes have important policy implications. Our empirical study is applied to the case of students' scores in the Basic Competence Test in Taiwan. The empirical estimation outcomes between traditional OLS and quantile regression on peer-group effects, school characteristics, and family characteristics are diverse and depend on students' ability. Such findings have important implications for parents as well as for government.
Isolation and analysis of the 3-untranslated regions of the human relaxin H 1 and H 2 genes

The human has two relaxins, termed H1 and H2, both of which are biologically active and coexpressed in the decidua, placenta and prostate; in the corpus luteum, the main source of circulating relaxin, only the H2 form is expressed. The reasons for this differential expression of the relaxin genes are unknown. The possibility that their 3 untranslated regions (UTRs) contribute to this differential expression by affecting their mRNA stabilities was investigated. Thus the 3 -UTRs of both relaxin genes were isolated through a combined 3 -rapid amplification of cDNA ends-PCR (RACE-PCR) using poly (A) RNA from human decidua, placenta, prostate and corpus luteum. The sequences obtained for each 3 -UTR were identical in the tissues examined, were AT-rich (72%) and showed 91% homology between relaxin H1 and H2 when maximally aligned to include several gaps, the significance of which is unknown. Relaxin H1 has two, and relaxin H2 has one, poly (A) signal, in addition to one cytoplasmic polyadenylation element 30 nucleotides upstream of this. The mRNA levels of relaxin H1 and H2 in the prostate adenocarcinoma LNCaP.FGC cell line were determined by quantitative competitive RT-PCR. Relaxin H1 had a 10-fold greater number of molecules ( 2·5 10) per μg of total RNA than relaxin H2 ( 2·5 10). The stability of relaxin H1 and H2 mRNAs were compared in LNCaP cells treated with the transcription inhibitor actinomycin D (10 mM) for 0, 1, 2, 4, 8, 10, 14, or 24 h. Half-lives of 3·17 days for relaxin H1 mRNA and 11·4 h for relaxin H2 mRNA were obtained from semi-logarithmic plots. Thus both mRNAs are relatively stable; however, relaxin H1 mRNA is considerably more stable than relaxin H2, at least in LNCaP cells. This difference in their mRNA stability may partly explain the greater level of expression of relaxin H1 in these cells. Journal of Molecular Endocrinology (2000) 24, 241–252