Miracle-dz/UniFAR-FTUs huggingface dataset:
Strengthening State Capabilities: The Role of Financial Incentives in the Call to Public Service

We study a recent recruitment drive for public sector positions in Mexico. Different salaries were announced randomly across recruitment sites, and job offers were subsequently randomized. Screening relied on exams designed to measure applicants' intellectual ability, personality, and motivation. This allows the first experimental estimates of (i) the role of financial incentives in attracting a larger and more qualified pool of applicants, (ii) the elasticity of the labor supply facing the employer, and (iii) the role of job attributes (distance, attractiveness of the municipal environment) in helping fill vacancies, as well as the role of wages in helping fill positions in less attractive municipalities. A theoretical model guides each stage of the empirical inquiry. We find that higher wages attract more able applicants as measured by their IQ, personality, and proclivity towards public sector work – i.e., we find no evidence of adverse selection effects on motivation; higher wage offers also increased acceptance rates, implying a labor supply elasticity of around 2 and some degree of monopsony power. Distance and worse municipal characteristics strongly decrease acceptance rates but higher wages help bridge the recruitment gap in worse municipalities.
Bimodality in blood glucose distribution: is it universal?

OBJECTIVE Bimodality in blood glucose (BG) distribution has been demonstrated in several populations with a high prevalence of diabetes and obesity. However, other population studies had not found bimodality, thus casting doubt on its universality. We address this question in four ethnic populations-namely Malay, Chinese, Indian, and the indigenous people of Borneo. RESEARCH DESIGN AND METHODS A national health survey was conducted in Malaysia in 1996. A total of 18,397 subjects aged > or =30 years had post-challenge BG measurements taken. To test whether BG was consistent with a bimodal distribution, we fitted unimodal normal and skewed distribution as well a mixture of two normal distributions to the data by age and ethnic groups. RESULTS Age-specific prevalence of diabetes varied from 1.3 to 26.3%. In all ethnic/age groups, the bimodal model fitted the log BG data better (likelihood ratio tests, all P values <0.001). CONCLUSIONS Bimodality in BG distribution is demonstrable even in populations with a very low prevalence of diabetes and obesity. Previous studies that found unimodality had failed to detect the second mode because of inadequate sample size, bias due to treatment of subjects with known diabetes, and inclusion of subjects with type 1 diabetes in the sample. Bimodality implies that diabetes is a distinct entity rather than an arbitrarily defined extreme end of a continuously distributed measurement.
Robust Execution of Service Workflows Using Redundancy and Advance Reservations

In this paper, we develop a novel algorithm that allows service consumers to execute business processes (or workflows) of interdependent services in a dependable manner within tight time-constraints. In particular, we consider large interorganizational service-oriented systems, where services are offered by external organizations that demand financial remuneration and where their use has to be negotiated in advance using explicit service-level agreements (as is common in Grids and cloud computing). Here, different providers often offer the same type of service at varying levels of quality and price. Furthermore, some providers may be less trustworthy than others, possibly failing to meet their agreements. To control this unreliability and ensure end-to-end dependability while maximizing the profit obtained from completing a business process, our algorithm automatically selects the most suitable providers. Moreover, unlike existing work, it reasons about the dependability properties of a workflow, and it controls these by using service redundancy for critical tasks and by planning for contingencies. Finally, our algorithm reserves services for only parts of its workflow at any time, in order to retain flexibility when failures occur. We show empirically that our algorithm consistently outperforms existing approaches, achieving up to a 35-fold increase in profit and successfully completing most workflows, even when the majority of providers fail.
Time-Resolved Cell Culture Assay Analyser (TReCCA Analyser) for the Analysis of On-Line Data: Data Integration—Sensor Correction—Time-Resolved IC50 Determination

Time-resolved cell culture assays circumvent the need to set arbitrary end-points and reveal the dynamics of quality controlled experiments. However, they lead to the generation of large data sets, which can represent a complexity barrier to their use. We therefore developed the Time-Resolved Cell Culture Assay (TReCCA) Analyser program to perform standard cell assay analyses efficiently and make sophisticated in-depth analyses easily available. The functions of the program include data normalising and averaging, as well as smoothing and slope calculation, pin-pointing exact change time points. A time-resolved IC50/EC50 calculation provides a better understanding of drug toxicity over time and a more accurate drug to drug comparison. Finally the logarithmic sensor recalibration function, for sensors with an exponential calibration curve, homogenises the sensor output and enables the detection of low-scale changes. To illustrate the capabilities of the TReCCA Analyser, we performed on-line monitoring of dissolved oxygen in the culture media of the breast cancer cell line MCF-7 treated with different concentrations of the anti-cancer drug Cisplatin. The TReCCA Analyser is freely available at www.uni-heidelberg.de/fakultaeten/biowissenschaften/ipmb/biologie/woelfl/Research.html. By introducing the program, we hope to encourage more systematic use of time-resolved assays and lead researchers to fully exploit their data.
MONEY TAXES, MARKET SEGMENTATION, AND SUNSPOT EQUILIBRIA

This paper investigates how volatile the general price level can be in an equilibrium where all uncertainty is extrinsic. The government operates a lump-sum redistribution policy using fiat money. An approach to modeling asset market segmentation is introduced in which this tax policy determines how volatile the price level can be, which in turn determines the volatility of consumption. The paper characterizes (i) the set of general price levels consistent with the existence of competitive equilibrium and (ii) the resulting set of equilibrium allocations. The results demonstrate how redistribution policies that are fixed in nominal terms can have a destabilizing effect on an economy, and show how to evaluate the amount of volatility that a particular policy may induce.
Positive Coping Style as a Mediator between Older Adults' Self-Esteem and Loneliness

We explored the relationships among older adults’ self-esteem, coping styles, and loneliness. Participants were 312 older adults who ranged in age from 60 to 88 years, and who were living in Beibei District, Chongqing, China. Participants completed the Rosenberg Self-Esteem Scale, the Simplified Coping Style Questionnaire, and the UCLA Loneliness Scale. The results indicated that older adults’ self-esteem, coping style, and loneliness were closely related to each other, and that a positive coping style partially mediated the relationship between the self-esteem and loneliness of the participants. These findings provide new insights into the effect of self-esteem on loneliness of older adults.
Additive and Transcript-Specific Effects of KPAP1 and TbRND Activities on 3′ Non-Encoded Tail Characteristics and mRNA Stability in Trypanosoma brucei

Short, non-encoded oligo(A), oligo(U), or A/U tails can impact mRNA stability in kinetoplastid mitochondria. However, a comprehensive picture of the relative effects of these modifications in RNA stability is lacking. Furthermore, while the U-preferring exoribonuclease TbRND acts on U-tailed gRNAs, its role in decay of uridylated mRNAs has only been cursorily investigated. Here, we analyzed the roles of mRNA 3′ tail composition and TbRND in RNA decay using cells harbouring single or double knockdown of TbRND and the KPAP1 poly(A) polymerase. Analysis of mRNA abundance and tail composition reveals dramatic and transcript-specific effects of adenylation and uridylation on mitochondrial RNAs. Oligo(A) and A-rich tails can stabilize a proportion of edited and never-edited RNAs. However, non-tailed RNAs are not inherently unstable, implicating additional stability determinants and/or spatial segregation of sub-populations of a given RNA in regulation of RNA decay. Oligo(U) tails, which have been shown to contribute to decay of some never-edited RNAs, are not universally destabilizing. We also show that RNAs display very different susceptibility to uridylation in the absence of KPAP1, a factor that may contribute to regulation of decay. Finally, 3′ tail composition apparently impacts the ability of an RNA to be edited.
Mutual Funds and Bubbles: The Surprising Role of Contractual Incentives

This article studies one of the potential causes of the financial market bubble of the late 1990s: the herding behavior of mutual funds. We show that the incentives contained in the mutual funds' advisory contracts induce managers to overcome their tendency to herd. We argue that investing in bubble stocks amounts to herding and contracts with high incentives induce managers to diverge from the herd, thus reducing their holding of bubble stocks. The differential exposure to bubble stocks significantly impacted the funds' performance both in the period prior to March 2000, as well as afterwards.
Breast imaging using electrical impedance tomography: correlation of quantitative assessment with visual interpretation.

BACKGROUND Electrical impedance tomography (EIT) is a new non-invasive, mobile screening method which does not use ionizing radiation to the human breast; allows conducting quantitative assessment of the images besides the visual interpretation. The aim of this study was to correlate the quantitative assessment and visual interpretation of breast electrical impedance tomographs and associated factors. MATERIALS AND METHODS One hundred and fifty mammography patients above 40 years and undergoing EIT were chosen using convenient sampling. Visual interpretation of the images was carried out by a radiologist with minimum of three years experience using the breast imaging - electrical impedance (BI-EIM) classification for detection of abnormalities. A set of thirty blinded EIT images were reinterpreted to determine the intra-rater reliability using kappa. Quantitative assessment was by comparison of the breast average electric conductivity with the norm and correlations with visual interpretation of the images were determined using Chi-square. One-way ANOVA was used to compare the mean electrical conductivity between groups and t-test was used for comparisons with pre-existing Caucasians statistics. Independent t-tests were applied to compare the mean electrical conductivity of women with factors like exogenous hormone use and family history of breast cancer. RESULTS The mean electrical conductivity of Malaysian women was significantly lower than that of Caucasians (p<0.05). Quantitative assessment of electrical impedance tomography was significantly related with visual interpretation of images of the breast (p<0.05). CONCLUSIONS Quantitative assessment of electrical impedance tomography images was significantly related with visual interpretation.
Long-Term Potentiation in the Hippocampal CA 1 Region of Mice Lacking cGMP-Dependent Kinases Is Normal and Susceptible to Inhibition of Nitric Oxide Synthase

Long-term potentiation (LTP) is a potential cellular mechanism for learning and memory. The retrograde messenger nitric oxide (NO) is thought to induce LTP in the CA1 region of the hippocampus via activation of soluble guanylyl cyclase (sGC) and, ultimately, cGMP-dependent protein kinase (cGK). Two genes code for the isozymes cGKI and cGKII in vertebrates. The functional role of cGKs in LTP was analyzed using mice lacking the gene(s) for cGKI, cGKII, or both. LTP was not altered in the mutant mice lineages. However, LTP was reduced by inhibition of NO synthase and NMDA receptor antagonists, respectively. The reduced LTP was not recovered by the cGK-activator 8-(4 chlorophenylthio)-cGMP. Moreover, LTP was not affected by the sGC inhibitor 1H-[1,2,4]oxadiazolo[4,3-a]-quiloxalin-1-one. In contrast, it was effectively suppressed by nicotinamide, a blocker of the ADP-ribosyltransferase. These results show that cGKs are not involved in LTP in mice and that NO induces LTP through an alternative cGMP-independent pathway, possibly ADP-ribosylation.
Fort McMurray and the Canadian Oil Sands: Local Coverage of National Importance

ABSTRACT Understanding resource-based communities (RBCs) as potential casualties of Canada's economic proclivity towards resource extraction projects may help us to generate political support for these communities at both local and national scales. The media has a critical role to play in promoting the development of this type of political discourse. This study examines how traditional print media coverage affects Canadians' perceptions of the Athabasca oil sands. A quantitative media analysis examines scope and thematic content of articles appearing in major Canadian newspapers between 2003 and 2013. We find that most coverage concerning the Athabasca oil sands over this period appears predominantly in western Canadian newspapers, with coverage primarily focusing on specific events. We argue that this geographic disparity in coverage does not provide Canadians with the adequate coverage necessary to develop an informed opinion on what the implications of ongoing oil sands development are at both a local and a national scale.
Mobility management for highly mobile users and vehicular networks in heterogeneous environments

With the recent developments in wireless networks, different radio access technologies are used in different places depending on capacity in terms of throughput, cell size, scalability etc. In this context, mobile users, and in particular highly mobile users and vehicular networks, will see an increasing number and variety of wireless access points enabling Internet connectivity. Such a heterogeneous networking environment needs, however, an efficient mobility management scheme offering the best connection continuously. In this paper, a mobility management architecture focusing on efficient network selection and timely handling of vertical and horizontal hand-overs is proposed. The solution is based on Mobile IP where hand-over decisions are taken based upon calculations of a metric combining delay and delay jitter. For efficiency reasons, the frequency of binding updates is dynamically controlled, depending on speed and variations in the metric. The dynamic frequency of binding updates helps the timely discovery of congested access points and cell edges so as to allow efficient hand-overs that minimize packet drops and hand-over delays. Results show that the overall signaling cost is decreased and changes in networking conditions are detected earlier compared to standard Mobile IP.
The Politics of Symbols: Reflections on the French Government’s Framing of the 2015 Terrorist Attacks

In January and again in November 2015 France was confronted with a series of coordinated terrorist attacks in Paris. These ‘events’ shocked France (and the world) and were presented by actors and observers as turning points. Yet, as all significant events, they give rise to a plurality of interpretations. We argue that the strategy developed by the French government is a good example of how contemporary politics mobilises the symbolic, a dimension of public policy that is often neglected. Using interviews with key advisors of the President and the Prime Minister and analyses of official speeches and performances in the first weeks after the attacks, we show how the government endeavoured to impose its framing of the attacks through rhetoric, symbols and performance in order to coproduce the ‘events’ as moments in which it acted decisively to unite the Nation.
The Al Qaeda–Islamic State Rivalry: Competition Yes, but No Competitive Escalation

ABSTRACT On June 29, 2014, the Islamic State emerged and declared the establishment of its caliphate. The declaration was a direct challenge to other Sunni Jihadi groups including Al Qaeda and an attempt to become the leading Jihadi group around. The rivalry that evolved within Sunni Jihadism, and particularly between Al Qaeda and its renegade affiliate the Islamic State, entailed a hitherto unseen competitive environment within the Jihadi field. Interestingly, the increased competition did not lead to a dynamic of competitive escalation and mutual radicalization of behaviour. Theory tells us to expect competitive escalation, or outbidding, in such contexts, but despite the initial success of the Islamic State’s brutality and offensive conquest in Syria and Iraq, Al Qaeda did not “play along” and instead pursued a different path. The reason for this absence of competitive escalation, this paper argues, is to be found in a pre-conflict methodological re-orientation within Al Qaeda and in the pacifying role played by influential Al Qaeda-affiliated ideologues.
Symmetrically coupled higher-order nonlinear Schrödinger equations: singularity analysis and integrability

The integrability of a system of two symmetrically coupled higher-order nonlinear Schrodinger equations with parameter coefficients is tested by means of singularity analysis. It is proven that the system passes the Painleve test for integrability only in ten distinct cases, of which two are new. For one of the new cases, a Lax pair and a multi-field generalization are obtained; for the other one, the equations of the system are uncoupled by a nonlinear transformation.
Evidence for a Long-standing Top-heavy Initial Mass Function in the Central Parsec of the Galaxy

We classify 329 late-type giants within 1 pc of Sgr A*, using the adaptive optics integral field spectrometer SINFONI on the VLT. These observations represent the deepest spectroscopic data set so far obtained for the Galactic center, reaching a 50% completeness threshold at the approximate magnitude of the helium-burning red clump (KS ~ 15.5 mag). Combining our spectroscopic results with NaCo H and KS photometry, we construct an observed Hertzsprung-Russell diagram, which we quantitatively compare to theoretical distributions of various star formation histories of the inner Galaxy, using a χ2 analysis. Our best-fit model corresponds to continuous star formation over the last 12 Gyr with a top-heavy initial mass function (IMF). The similarity of this IMF to the IMF observed for the most recent epoch of star formation is intriguing and perhaps suggests a connection between recent star formation and the stars formed throughout the history of the Galactic center.
The automatic identification of melanoma by wavelet and curvelet analysis: Study based on neural network classification

This paper proposes an automatic skin cancer (melanoma) classification system. The input for the prosed system is a collected data images, it followed by different image processing procedures to enhance the image properties. Two segmentation methods used to identify the normal skin cancer from malignant skin and to extract the useful information from these images that passed to the classifier for training and testing. The features used for classification is the coefficients created by Wavelet decompositions and simple wrapper curvelet. Curvelet is suitable for the image that contains oriented texture and cartoon edges. Recognition accuracy of the three layers back-propagation neural network classifier with wavelet is 51.1% and with curvelet is 75. 6% in digital images database.
The relationship between marital satisfaction and self-efficacy with job satisfaction of Employees National Bank in Ahwaz

The aim of this study is examine the relationship between marital satisfaction and self-efficacy with job satisfaction of Employees National Bank in Ahwaz. The statistical population, sample size and sampling method the statistical population of this study is all Employees were working in branches of National Bank of Ahvaz in 2016 that is 760 persons. The sample size according to Morgan table is 257 people and sampling method is simple random sampling. The results showed there is a significant positive relationship between marital satisfaction and self-efficacy with job satisfaction of Employees National Bank in Ahwaz.
Articular cartilage of the knee 3 years after ACL reconstruction

Background and purpose — T1ρ or T2 relaxation imaging has been increasingly used to evaluate the cartilage of the knee. We investigated the cartilage of ACL-reconstructed knees 3 years after surgery using T2 relaxation times. Patients and methods — 10 patients with a clinically successful unilateral ACL reconstruction were examined 3 years after surgery. Multiple-TE fast-spin echo sagittal images of both knees were acquired using a 3T MRI scanner for T2 mapping of the tibiofemoral cartilage. T2 values of the superficial and deep zones of the tibiofemoral cartilage were analyzed in sub-compartmental areas and compared between the ACL-reconstructed and uninjured contralateral knees. Results — Higher T2 values were observed in 1 or more sub-compartmental areas of each ACL-reconstructed knee compared to the uninjured contralateral side. Most of the T2 increases were observed at the superficial zones of the cartilage, especially at the medial compartment. At the medial compartment of the ACL-reconstructed knee, the T2 values of the femoral and tibial cartilage were increased by 3–81% compared to the uninjured contralateral side, at the superficial zones of the weight-bearing areas. T2 values in the superficial zone of the central medial femoral condyle differed between the 2 groups (p = 0.002). Interpretation — The articular cartilage of ACL-reconstructed knees, although clinically satisfactory, had higher T2 values in the superficial zone of the central medial femoral condyle than in the uninjured contralateral side 3 years after surgery. Further studies are warranted to determine whether these patients would undergo cartilage degeneration over time.
Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning

Crowd-sourcing has become a popular means of acquiring labeled data for many tasks where humans are more accurate than computers, such as image tagging, entity resolution, and sentiment analysis. However, due to the time and cost of human labor, solutions that rely solely on crowd-sourcing are often limited to small datasets (i.e., a few thousand items). This paper proposes algorithms for integrating machine learning into crowd-sourced databases in order to combine the accuracy of human labeling with the speed and cost-effectiveness of machine learning classifiers. By using active learning as our optimization strategy for labeling tasks in crowd-sourced databases, we can minimize the number of questions asked to the crowd, allowing crowd-sourced applications to scale (i.e., label much larger datasets at lower costs). Designing active learning algorithms for a crowd-sourced database poses many practical challenges: such algorithms need to be generic, scalable, and easy to use, even for practitioners who are not machine learning experts. We draw on the theory of nonparametric bootstrap to design, to the best of our knowledge, the first active learning algorithms that meet all these requirements. Our results, on 3 real-world datasets collected with Amazons Mechanical Turk, and on 15 UCI datasets, show that our methods on average ask 1--2 orders of magnitude fewer questions than the baseline, and 4.5--44× fewer than existing active learning algorithms.