nils-herrmann/clean_scirepeval huggingface dataset:
The Tacit Dimension of Public Sector Attraction in Multi Incentive Settings
Venue: Journal of Public Administration Research and Theory
Year: 2019

The public sector provides a broad range of incentives to apply for jobs, but these incentives have rarely been studied in concert. The present study disentangles how job candidates form intentions to apply for a public sector job in multi incentive settings and how this process depends on public service motivation (PSM) Using a speeded categorization task in an experimental vignette methodology with 340 current job seekers in the United Kingdom, we focus on perceptions that potential applicants have, or do not have, of a range of employment attributes (i.e. extrinsic, intrinsic, and prosocial) when they screen job advertisements. Results of multilevel analyses suggest that perceptions of intrinsic and extrinsic attributes are similarly strong predictors of the intent to apply for public sector jobs, whereas perceptions of prosocial employment attributes do not yield such an overall effect. However, PSM moderates the relationship between perceptions of prosocial attributes and application intentions, but only among nonstudents. Theoretical implications for the alignment of PSM with extrinsic rewards are discussed. Findings are also important for human resource managers in the public sector who want to adjust their recruitment strategies to specific target groups.
Etude numerique des performances thermiques d'un habitat bioclimatique
Year: 2018

Cette recherche est basee sur une etude numerique de performances thermiques d'un habitat bioclimatique. Dans cette etude, nous avons consideres deux habitats bioclimatiques, l'un concernant un habitat classique de toiture en toles d'aluminium, de faux plafond en laine de bois et le second, un habitat integrant du panneau de MCP qui separe la toiture en tuiles transparentes de l'enceinte parallelepipedique. Les equations de transfert de chaleur dans l'habitat sont basees sur la methode nodale et sont deduites d'un bilan thermique etabli pour les differents composants de l'habitat. Les transferts de chaleur dans l'unite de stockage sont axees sur la methode enthalpique et purement conductif. Elles sont resolues par une methode implicite aux differences finies et les algorithmes de Gauss et de Thomas. Nous avons analyse l'influence de certains parametres tels que le flux solaire, l'epaisseur du mur, la temperature maximale et minimale, et le taux de renouvellement d'air sur les distributions de temperatures des composants de l'habitat et de l'unite de stockage, les efficacites thermiques de stockage et de destockage de l'unite de stockage. Une modelisation des phenomenes de transfert de chaleur dans l'habitat et dans l'unite de stockage est presentee, completee par une simulation du fonctionnement du systeme basee sur les notions de journee type a travers les donnees meteorologiques de la region de Ouagadougou et termine par une analyse technico economique.
Redescription of Faustula gangetica (Srivastava, 1935) (Plagiorchiida: Faustulidae) in the Hilsa Shad, Tenualosa ilisha (Hamilton) (Clupeidae) from the Arabian Gulf off Iraq
Venue: Comparative Parasitology
Year: 2019

Faustula gangetica (Srivastava, 1935) Yamaguti, 1958 (Plagiorchiida: Faustulidae) from the Hilsa shad, Tenualosa ilisha (Hamilton) (Clupeiformes: Clupeidae) collected in the Arabian Gulf off Iraq between June and October 2014 is redescribed. We include details of the structures within the cirrus sac and provide further basic morphology for this species not previously available. Faustula ilishii (Srivastava, 1935) Yamaguti, 1958 is synonymized with F. gangetica. This is the first report of F. gangetica from the Hilsa shad in the Arabian Gulf.
Domestic and international impacts of the rice trade policy reform in the Philippines
Year: 2020

Faced with high domestic rice prices that have fueled inflation above the 2018 target and penalized poor consumers the most, the government of the Philippines has decided to abandon the quantitative restrictions on imports and replace them with tariffs. This paper uses a global rice model based on a partial equilibrium framework to assess the possible impacts of this reform on imports, production, consumption and prices. In contrast with past similar studies, we address three key concerns (i) the heterogeneity in farm price across 16 regions in response to the combined effect of the tarriffication and the average historical trend in productivity increase at 1.5% between 2001 and 2018, (ii) the differentiation of imports by origin partly due to the different tariffs applied to countries within and beyond the Association of South East Asian Nations, and (iii) the effect on domestic prices in third countries. The simulation results suggest that the reform would increase imports by 2.47 million tons (20.7% in 2019. We also find a large decline in farm prices and retail prices respectively by PhP 6.1/kg (30.1% and PhP 7.6/kg (17.4% in 2019 that explains an increase in rice consumption. We estimate the fall in total inflation at 1.2% in 2019 but less over time. Further, the large fall in farm prices in 2019 is shared quite evenly among regions in the short term but returns to pre reform levels in the near term. Using a higher price elasticity of supply for one region obtained from panel data surveys, we show a more pronounced decline in production than the national average. Such differentiated results confirm the relevance of using a regionally disaggregated model to design more targeted policies. We also show a slight increase in world prices, which led to small increases in the domestic prices of South and Southeast Asian rice markets. While this reform is largely pro poor consumers, policy makers would need to use the additional tariff revenue to help rice growers either increase their competitiveness and modernize their rice production or shift to other crops.
Exchange Rate Disconnect in General Equilibrium
Year: 2017

We propose a dynamic general equilibrium model of exchange rate determination, which simultaneously accounts for all major puzzles associated with nominal and real exchange rates. This includes the Meese Rogoff disconnect puzzle, the PPP puzzle, the terms of trade puzzle, the Backus Smith puzzle, and the UIP puzzle. The model has two main building blocks the driving force (or the exogenous shock process) and the transmission mechanism both crucial for the quantitative success of the model. The transmission mechanism which relies on strategic complementarities in price setting, weak substitutability between domestic and foreign goods, and home bias in consumption is tightly disciplined by the micro level empirical estimates in the recent international macroeconomics literature. The driving force is an exogenous small but persistent shock to international asset demand, which we prove is the only type of shock that can generate the exchange rate disconnect properties. We then show that a model with this financial shock alone is quantitatively consistent with the moments describing the dynamic comovement between exchange rates and macro variables. Nominal rigidities improve on the margin the quantitative performance of the model, but are not necessary for exchange rate disconnect, as the driving force does not rely on the monetary shocks. We extend the analysis to multiple shocks and an explicit model of the financial sector to address the additional Mussa puzzle and Engel's risk premium puzzle.
Decision Support System for High Achieving Students Selection Using AHP and TOPSIS
Venue: 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)
Year: 2020

The selection of high achieving students is one of the schools' efforts to determine potential students who will be prepared to participate in the section of high achieving students at the regional, provincial, national, and international levels. Manual selection activities can have several problems, including it can take a lot of time when many criteria must be used, and many students participate in the selection, and there can be subjective assessments from the selection committee. Based on those problems, a decision support system is proposed using AHP to determine the weight of the criteria and TOPSIS to determine the best alternative. Decision support systems using AHP and TOPSIS can assist the selection committee in selecting high achieving students. The application of a decision support system using AHP and TOPSIS in this study can also resolve problems such as reducing the time required for the selection process and making the selection results more objective.
Molecular dynamics in amorphous pharmaceutically important protic ionic liquid benzalkonium chloride
Year: 2017

In this paper, we report the dielectric measurements at ambient pressure to portray the molecular dynamics of a glass forming pharmaceutical as well as a protic ionic conductor, benzalkonium chloride [BaCl] by means of broadband dielectric spectroscopy. The measurement in macroscopic nature of a stochastic transport theory and of the electric modulus formalism stanchly reproduces the shape of the dispersion of the microscopic ionic movement in terms of translational and ionic diffusive motion of molecular ions. The situation is analogous to most ionic conductors, BaCl showed only single resolved peak in the electric modulus formalism and doesn't show any crystallisation tendency during cooling as well as heating. The temperature dependence of the conductivity relaxation has been fitted by single Vogel Fulcher Tamman (VFT) equation. It is found that the value of T g observed from DSC is significantly higher than one obtained from the a conductivity relaxation corresponding to 100 s indicating that the structural t a (T) is longer than conductivity t sa (T) for about 10 K. Finally, the results were compared with data for other protic ionic conductors like Procaine HCl, Procainamide HCl, Verapamile HCl, Lidocaine HCl, Tramadole HCl and Chlorpromazine HCl and found that BaCl is a good strong glass former.
The Transformer Substation Scenario Modeling and Visual Perception Visualization System
Venue: DPTA
Year: 2019

In the process of the transformer substation construction, efficient management technology is needed to ensure the safety, reliability and normal progress of the field operation. At present, the management means are more to standardize people's behavior quality by combining the manual inspection and the management system. The management means are relatively single, and the utilization efficiency of the human resources is low. It is proposed to use the three dimensional panoramic technology to visualize the management of the substation. The UAV can collect the multi directional images of the whole substation and acquire the three dimensional panorama through processing. Based on this, the open and transparent management can be carried out to improve the management efficiency, and the construction process information database and the three dimensional panoramic information database can be formed in the entire construction cycle.
The Sympathetic State: Disaster Relief and the Origins of the American Welfare State
Year: 2012

Even as unemployment rates soared during the Great Depression, FDR's relief and social security programs faced attacks in Congress and the courts on the legitimacy of federal aid to the growing population of poor. In response, "New Dealers" pointed to a long tradition dating back to 1790 and now largely forgotten of federal aid to victims of disaster. In "The Sympathetic State" Michele Landis Dauber recovers this crucial aspect of American history, tracing the roots of the modern American welfare state beyond the New Deal and the Progressive Era back to the earliest days of the republic when relief was forthcoming for the victims of wars, fires, floods, hurricanes, and earthquakes. Drawing on a variety of materials, including newspapers, legal briefs, political speeches, art and literature of the time, and letters from thousands of ordinary Americans, Dauber shows that while this long history of government disaster relief has faded from our memory today, it was extremely well known to advocates of an expanded role for the national government in the 1930s. Making this connection required framing the Great Depression as a disaster afflicting citizens through no fault of their own. Dauber argues that the disaster paradigm, though successful in defending the New Deal, would ultimately come back to haunt advocates for social welfare. By not making a more radical case for relief, proponents of the New Deal helped create the weak, uniquely American welfare state we have today one torn between the desire to come to the aid of those suffering and the deeply rooted suspicion that those in need are responsible for their own deprivation. Contrary to conventional thought, the history of federal disaster relief is one of remarkable consistency, despite significant political and ideological change. Dauber's pathbreaking and highly readable book uncovers the historical origins of the modern American welfare state.
Nordic Ideology in the SS and the SS Ahnenerbe
Year: 2019

The conceptual framework of the so called historiography of the church struggle has shaped the scholarly occupation with the religious development in the Third Reich to a large extent. Two fallacious equations in particular affected the post war debate even within secular historical scholarship. The first was the identification of National Socialism with National Socialist Paganism. In the continuation of the former quarrels between church and state over the impact of a number of measures taken against church interests, the Na2i regime appeared from a certain perspective as political fulfilment of the worst of an anti Christian heathendom aiming to annihilate Christianity in Germany as a whole. Secondly, many if not most studies written in the context of the church struggle supported the opinion that Christianity, its doctrines and essential meaning, had been the only relevant counterforce in that battle between the forces of light and darkness. This widespread idea of a deadly combat between two antagonistic worldviews entailed a fairly distorted picture of the German history of religions after 1933. Its simplistic bipolarity disregarded important overlaps and eliminated intermediary elements from the great many bilateral relations that were in place. Any potential ideological permeability between Christianity and National Socialism was contested and common features between both them and between Christianity and Paganism were belitded or categorically denied. While the church struggle paradigm has been largely abandoned with regard to Protestantism and Catholicism consider just the works of Manfred Gailus and Doris Bergen for the Protestant and the ones of Olaf Blaschke and Kevin Spicer for the Catholic side1 it is in full force when it comes to Paganism. With very little factual evidence, much guessing and conjecturing prevail over earnest studies on Pagan groups and individuals, on their beliefs and rites. An overview of the fragmented field of organised and non organised Paganism is still far beyond reach. With the exception of three dissertations by Ulrich Nanko, Hiroshi Kubota and Schaul Baumann, no one has undertaken comparable efforts to shed light on the
Design and Development of Ground Control System for Tethered UAV
Venue: 2019 IEEE International Conference on Unmanned Systems (ICUS)
Year: 2019

This paper designs and develops a tethered UAV ground control system based on Qt environment. Firstly, the framework and main functions of the tethered UAV ground control system are introduced. Ground control system can show the information about the flight status, mode, location and surroundings of UAV in real time through data display module, map control module and aerial image module. Ground control system and flight control system communicate by MAVLink protocol and the location of UAV can be observed in the map control module. Tethered UAV transmits information to the ground station by cable, so it has a faster transmission rate and higher quality of image. Therefore, this paper specially designs the transmission and processing of airborne HD video, and adopts KCF (Kernelized Correlation Filters) tracking algorithm to identify and track moving targets. The ground control system has also realized high speed real time serial communication. A four axis eight paddle tethered UAV is used as the platform and a tracking experiment is carried out. The results show that the ground control system can display information correctly and control tethered UAV to track a moving target.
A Validation of the Brief Ageing Perceptions Questionnaire (B APQ) Among Elderly Portuguese Adults
Year: 2019

Portugal is one of the oldest countries in the European Union, and, as a result, it is important to possess measurement instruments that can assess the aging self perceptions of older Portuguese adults. The primary aim of this study was to translate and validate the B APQ for use among the elderly Portuguese population. Complementarily, the second part of this study sought to assess differences in aging perceptions among participants based upon sex and sexual orientation. Using a website, older adults between the ages of 50 and 95 (N=722) completed a Portuguese version of the B APQ, alongside a scale used to measure depression (the CES D) This study employed Confirmatory Factor Analysis (CFA) to verify the multidimensionality of the B APQ. We analysed the correlation between the B APQ and the CES D to assess convergent and discriminant validity. Cronbach's alpha coefficients were used to measure internal consistency, and a sensitivity analysis of the items was employed through measures of asymmetry and flatness. This study also assessed differences in aging perceptions in relation to sex and sexual orientation. The CFA indicated that the 5 factors of the Portuguese version of the B APQ model were adequate. The results also showed that all factors of the B APQ were associated with the CES D, supporting the existence of convergent and discriminant validity. The Cronbach's alphas were acceptable for all factors, indicating that internal consistency was preserved and that sensitivity presented adequate scores for all items. Regarding sex, statistically significant differences were obtained for depression levels (women present greater depressive symptomatology than men) but no differences were found for all factors of the B APQ. The results obtained also showed significant differences for
Optimal Government Debt and Economic Performance in Nigeria
Year: 2019

Developing economies rely on government debts in financing its budget deficit. Nevertheless, debt incurred beyond a limit becomes detrimental to the economy. This study examined the optimal point beyond which government debt impairs economic performance in Nigeria. Data from the Central Bank of Nigeria (CBN) Statistical Bulletin from 1986 to 2017 were employed for the study. Dynamic Ordinary Least Square (DOLS) was used to estimate the magnitude of the coefficients. The unit root test showed that the variables of the study were stationary at a 5% significant level and the co integration test confirmed a long run relationship between the variables. The estimation showed a significant relationship between government debt and Nigeria's economic performance. Government debt is growth enhancing at low levels but growth retarding at a high level with the optimal government debt estimated as 9.98% of the gross domestic product (GDP) This implies that borrowing beyond such a limit becomes growthretarding in the economy. The study concluded that an increase in government debt elevates Nigeria's economic performance. However, it becomes detrimental to the economy when surpasses the threshold level estimated in this study. Therefore, the study recommends that the government should focus on other sources of revenue to fund its budget deficits to decrease the debt burden. Also, the debt management office (DMO) of the federal government should introduce debt forgiveness measures that may encourage lending nations or entities to relax debt conditions, thereby reducing the debt profile of the country.
Searching Central Difference Convolutional Networks for Face Anti Spoofing
Venue: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2020

Face anti spoofing (FAS) plays a vital role in face recognition systems. Most state of the art FAS methods 1) rely on stacked convolutions and expert designed network, which is weak in describing detailed fine grained information and easily being ineffective when the environment varies (e.g. different illumination) and 2) prefer to use long sequence as input to extract dynamic features, making them difficult to deploy into scenarios which need quick response. Here we propose a novel frame level FAS method based on Central Difference Convolution (CDC) which is able to capture intrinsic detailed patterns via aggregating both intensity and gradient information. A network built with CDC, called the Central Difference Convolutional Network (CDCN) is able to provide more robust modeling capacity than its counterpart built with vanilla convolution. Furthermore, over a specifically designed CDC search space, Neural Architecture Search (NAS) is utilized to discover a more powerful network structure (CDCN+ which can be assembled with Multiscale Attention Fusion Module (MAFM) for further boosting performance. Comprehensive experiments are performed on six benchmark datasets to show that 1) the proposed method not only achieves superior performance on intra dataset testing (especially 0.2% ACER in Protocol 1 of OULU NPU dataset) 2) it also generalizes well on cross dataset testing (particularly 6.5% HTER from CASIA MFSD to Replay Attack datasets) The codes are available at https:/github.com/ZitongYu/CDCN.
The Annuity Puzzle and an Outline of Its Solution
Year: 2018

In his seminal 1965 paper, Yaari showed that, assuming actuarially fair annuity prices, uncertain lifetimes, and no bequest motives, utility maximizing retirees should annuitize all of their wealth on retirement. Nevertheless, the markets for individual immediate life annuities in the United States, the United Kingdom, and several other developed countries have been small relative to other financial investment outlets competing for retirement savings. Researchers have found this situation puzzling, hence the so called "annuity puzzle." There are many possible explanations for the annuity puzzle, including "rational" explanations such as adverse selection, bequest motives, and incomplete markets; and "behaviorial" explanations, such as mental accounting, cumulative prospect theory, and mortality salience. We review the literature on the various plausible explanations given for the existence of the annuity puzzle, suggest ways of stimulating the demand for annuities, and suggest a few of the ingredients needed for further development of hybrid annuity products that may provide a solution to the puzzle.
IEEE BigData 2021 Cup: Soft Sensing at Scale
Venue: ArXiv
Year: 2021

" BigData 2021  Soft Sensing at Scale" is a data mining competition organized by Seagate Technology, in association with the IEEE BigData 2021 conference. The scope of this challenge is to tackle the task of classifying soft sensing data with machine learning techniques. In this paper we go into the details of the challenge and describe the data set provided to participants. We define the metrics of interest, baseline models, and describe approaches we found meaningful which may be a good starting point for further analysis. We discuss the results obtained with our approaches and give insights on what potential challenges participants may run into. Students, researchers, and anyone interested in working on a major industrial problem are welcome to participate in the challenge!