Miracle-dz/UniFAR-FTUs huggingface dataset:
Female labour force projections using microsimulation for six EU countries

We project medium to long term trends in labour force participation and employment for selected low-participation EU countries (Italy, Spain, Ireland, Hungary and Greece), with Sweden as a benchmark, by means of a dynamic microsimulation model. By 2020, only Sweden will be above the Europe 2020 target of 75% employment rate, though Ireland will be close; the target will be approached by all other countries only at the end of the simulation period at 2050, with the exception of Hungary. Our forecasts, that fully take into account the uncertainty coming from the estimation of all the processes in the microsimulation, significantly depart from the official projections of the European Commission for two of the six countries under analysis.
In-Vivo Animal Models For Screening Of Anti-Diabetic Activity

This review summarizes the use of different animal models of Type 1 and Type 2 diabetes for screening the antidiabetic activity. A detailed review on surgical and non surgical methods, Genetic models of diabetes, various animal strains that spontaneously develop diabetes, the limitations of the different animal models and the different chemicals that are used to induce Diabetes mellitus has been discussed. The species of animal used is determined by several factors. In general, the smaller the animal, the more manageable and cheaper the experiment. Hence, pancreatectomised rats and mice are the most commonly used. Special attention has been paid to the animal models of Type 1 and Type 2 diabetes. The purpose of this review article is to describe the significance of various animal models available for screening of antidiabetic activity.
PENDIDIKAN DOKTER SPESIALIS DAN REMUNERASI RESIDEN DALAM KONTEKS HUBUNGAN RUMAH SAKIT PENDIDIKAN DENGAN FAKULTAS KEDOKTERAN

Latar Belakang. Pendidikan dokter spesialis di Indonesia menganut sistem university based. Walaupun secara de facto, residen merupakan bagian dari Fakultas Kedokteran namun secara de jure residen merupakan bagian dari Rumah Sakit Pendidikan dimana residen juga sebagai pekerja yang melayani pasienpasien Rumah Sakit. Sehingga masih ada bias untuk status residen di Indonesia, seharusnya berdasarkan Undang-Undang Pendidikan Kedokteran No. 20 tahun 2013 Pasal 31, disebutkan residen berhak mendapatkan insentif / remunerasi selama mengikuti program pendidikan dokter spesialis. Peran dan status residen dalam pendidikan dokter dan pelayanan kesehatan di RS pendidikan dan RS jejaring perlu mendapat perhatian seksama. Meskipun residen melaksanakan peran pelayanan kesehatan yang besar, proses pelayanan tersebut merupakan bagian dari proses pendidikan. Tujuan. Tujuan umum penelitian ini adalah untuk memperbaiki kebijakan penanganan remunerasi residen. Metode Penelitian. Jenis penelitian ini merupakan penelitian eksploratif dengan metode pendekatan kualitatif. Melalui metode ini peneliti akan melakukan wawancara mendalam terhadap subyek penelitian, tujuannya peneliti ingin mengetahui lebih mendalam tentang status residen apakah sebagai siswa di fakultas kedokteran atau sebagai pekerja di rumah sakit. Hasil. Manajemen residen di Indonesia menganut sistem University Based. Status residen di Indonesia masih belum jelas, apakah sebagai peserta didik atau sebagai pekerja di rumah sakit. Remunerasi residen belum dapat diimplementasikan karena beberapa faktor diantaranya status residen dan landasan hukum. Background: Education specialists in Indonesia adopts a university based. Although the de facto, the resident is part of the Faculty of Medicine, however, de jure resident is part of a teaching hospital where the resident as well as workers that serve patients Hospitals. So there is still a bias for resident status in Indonesia, should be based on Medical Education Act No. 20 of 2013 Section 31, stated the resident is entitled to an incentive / remuneration for the education program specialist. The role and status of residents in medical education and health care in a teaching hospital and hospital networks need careful attention. Although resident in the role of the health service is great, the service process is part of the educational process. Objective: The general objective of this research is to improve the handling of the remuneration policy of resident. Method: This type of research is an exploratory study with a qualitative approach. Through this method the researchers will conduct in-depth interviews on the subject of research, the goal of researchers want to know more about the status of the resident whether as a student in the faculty of medicine or as workers in hospital. Results and Conclusion: Adopt a university-based resident status. Remuneration policies resident can not be implemented because of the absence of specific government regulations implementing the statute of medical education.
Energy Price Shocks,Macroeconomic Factors and Determination of Industry Stock Returns——Empirical Evidence from Listed Companies in Chinese Stock Market

By using a multifactor GARCH model and adopting the weekly data from October 2006 to July 2010,the main purpose of this paper is to identify the risk factors of 28 industry sector indexes in Chinese stock market,such as market return,interest rate term premium,foreign exchange rate risk,and oil and coal price returns.Empirical analysis provides five key results in the determination of the stock returns.Firstly,the exchange rate change has a remarkable negative impact on sectors of steel iron,coal oil,and commercial chain industry.Secondly,the interest rate term premium shows positive effects on capital intensive manufacturing industries.Thirdly,oil price returns can only influence stock returns of electric appliance sector,medicine sector and Leisure hotel sector.Fourthly,there exists a significantly negative relationship which coal returns exert to the public utilities industry and architecture industry.Finally,the authors surprisingly find that both oil price returns and coal price returns are all not the risk factors of coal oil sector.
Decomposing Growth in France, Germany and the United Kingdom Using Growth Accounting and Production Function Approaches

This paper uses Growth Accounting and Production Function Analysis to decompose the factors behind differences in growth between the UK, France and Germany between 1992 and 2005. Most of the growth differential between the United Kingdom, Germany and France since 1993 can be explained by structural factors. The United Kingdom's higher growth has originated essentially in the finance and business sector, which is ICT-intensive. Germany's weak growth reflects in large part the aftermath of the unification shock and a continued fall in the labour input. At the same time there has been a sharp slowdown in knowledge accumulation, which seems to have restrained labour productivity growth. After EMU, the performance of German manufacturing improved relative to both France and the United Kingdom, while capital deepening became less supportive to growth because of lower investment in infrastructures and dwellings. France's higher growth relative to Germany since 1999 comes essentially from the non-tradable sectors and from a higher labour input. This may be partly related to a more significant decline in the volatility of real interest rates.
A Multiprotocol Wireless Sensor Network for High Performance Sport Applications

The use of a network of wearable sensors placed on the athlete or installed into sport equipment is able to offer, in a real sport environment rather than in the unspecific spaces of a laboratory, a valuable real-time feedback to the coach during practice. This is made possible today by the coordinate use of a wide range of kinematic, dynamic, and physiological sensors. Using sensors makes training more effective, improves performance assessment, and can help in preventing injuries. In this paper, a new wireless sensor network (WSN) system for elite sport applications is presented. The network is made up of a master node and up to eight peripheral nodes (slave nodes), each one containing one or more sensors. The number of nodes can be increased with second level slave nodes; the nature of sensors varies depending on the application. Communication between nodes is made via a high performance 2.4 GHz transceiver; the network has a real-life range in excess of 100 m. The system can therefore be used in applications where the distance between nodes is long, for instance, in such sports as kayaking, sailing, and rowing. Communication with user and data download are made via a Wi-Fi link. The user communication interface is a webpage and is therefore completely platform (computer, tablet, smartphone) and operating system (Windows, iOS, Android, etc.) independent. A subset of acquired data can be visualized in real time on multiple terminals, for instance, by athlete and coach. Data from kayaking, karting, and swimming applications are presented.
The Science of Public Administration: Three Problems

mulation of universal laws or, more commonly, to the assertion that such universal laws could be formulated for public administration.l In an attempt to make the science of public administration analogous to the natural sciences, the laws or putative laws are stripped of normative values, of the distortions caused by the incorrigible individual psyche, and of the presumably irrelevant effects of the cultural environment. It is often
The Evolution of Severance Pay over Italian Working Life Careers

Recent pension reforms rely on the diversion of the "Trattamento di fine rapporto" (TFR) to pension funds so as to finance future private pension provision. This paper estimates the expected TFR based on Italian employees' working life careers. Using administrative data we disentangle the expected amount accumulated until retirement for a worker with continuous career and no liquidity needs as well as the amount that will not accrue because of the discontinuity of job careers and/or liquidity constraints. We find that the average expected TFR at retirement is substantial. However, the leakage during working life is dominant for several working groups. Our results support the skeptical view about the universal role of TFR as retirement provision.
Predicting Jump Arrivals in Stock Prices Using Neural Networks with Limit Order Book Data

This paper proposes a new method for predicting jump arrivals in stock markets with high-frequency limit order book data. We introduce a new model architecture, based on Convolutional Long Short-Term Memory with attention, to apply time series representation learning with memory and to focus the prediction attention on the most important features to improve performance. Using order book data on five liquid U.S. stocks, we provide empirical evidence on the efficacy of the proposed approach. We find that the proposed approach with an attention mechanism outperforms the multi-layer perceptron network as well as the convolutional neural network and Long Short-Term memory model. The use of limit order book data was found to improve the performance of the proposed model in jump prediction, either clearly or marginally, depending on the underlying stock.
Dual Enrollment: Policy Issues Confronting State Policymakers. Policy Brief.

The transition to a knowledge-based economy is fueling the demand for well-educated, technically proficient workers – in all sectors, across a wide range of occupations and even for entry-level positions. New civic demands also call for a highly educated populace. Although more students today begin college than 20 years ago, greater proportions are not graduating. Nationally, for every 100 9th-grade students, 68 graduate from high school, 40 immediately enter college, 27 are still enrolled in their sophomore year and 18 graduate within 150% time with either an associate’s or bachelor’s degree. Far too many students experience substantial challenges in negotiating the transition from high school to college, resulting in a choice by many students to drop out of high school or college altogether. The result is that fewer than 20% of the 9th graders entering the education pipeline will graduate with a college degree by the age of 24. The United States cannot afford human capital loss of this scale and remain globally competitive.
State-of-the-Art and Future Directions for Green Human Resource Management: Introduction to the Special Issue

The topic of environmental sustainability is generating increased concern among business executives, governments, consumers, and management scholars. As these stakeholders struggle with the challenges and opportunities presented by an array of environmental issues, HRM scholars and practitioners alike have been relatively slow to engage in the ongoing discussions and debates. Through this special issue on Green HRM, we seek to stimulate the field of HRM to expand its role in the pursuit of environmentally sustainable business. In this introduction to the special issue, we first provide an overview of the articles that appear in the special issue. Next we present a detailed discussion of research questions that arise from a consideration of several functional HRM practices, including performance management; training, development, and learning; compensation and rewards; and organizational culture. We conclude by describing opportunities for research at the intersection of strategic HRM and environmental management. If pursued with vigor, research addressing this extensive agenda could begin to establish a healthy field of Green HRM scholarship.
Competition analysis and chaos control of R&D in duopoly with heterogeneous rationality

By using the theory of bifurcations of dynamical systems,the model of RD competition in duopoly with heterogeneous rationality is investigated,and the existence and stability of the equilibrium point of this model are discussed.Simulation results show that the amount of equilibrium point in practice may be less than in theory,the Nash equilibrium point is the only equilibrium point of the model,and the speed of RD input adjustment has an obvious impact on the results of RD competition.Nash equilibrium of RD competition model can be to maintainable by using delayed feedback control method when the model in chaos state.
Effect of the timing of force application on the toe trajectory in the swing phase for a wire-driven gait assistance robot

We propose an effective timing of intermittent force application by a gait assistance robot with a wire-driven system to increase the toe trajectory throughout the swing phase. We tested different timings of force application at the shank, employing the short-term assistance of the robot to increase toe clearance throughout the swing phase. The force was applied to the shank to generate knee flexion torque because the shank motion generated by the knee flexion motion makes the largest contribution to toe clearance. Four timings of the force application were considered: when starting knee flexion before toe-off, when lifting the foot, while maintaining knee flexion after toe-off, and when finishing knee flexion after toe-off. Furthermore, we evaluated changes in the toe trajectory and articular angles of the lower limb for each timing condition. We used a timing detection method for the robot conducting tensile force control based on information from the hip, knee, and ankle angles. For all participants, an increase in the knee flexion angle in the early swing phase due to the force application increased the toe clearance throughout the swing phase. We thus conclude that force application when the user begins lifting their toe is effective in increasing toe clearance throughout the swing phase.
General image understanding in visual metaphor identification

espanolLos estudios sobre metafora visual se han sucedido a partir de la investigacion en metafora verbal, y se han centrado en el desarrollo de taxonomias de metaforas visuales y el analisis del uso de la metafora visual en generos concretos. En estos estudios la identificacion de metaforas visuales parece una tarea sencilla. Sin embargo, estimamos necesario disenar un metodo fiable que permita identificar metaforas visuales en todo tipo de contextos. El primer paso consiste en adquirir una comprension global de la imagen. En este articulo abordamos las cuestiones que se plantean los analistas al observar una imagen y determinar su significado general. espanolResearch on visual metaphor has rapidly developed in the wake of verbal metaphor research, focusing on the development of taxonomies for visual metaphors and the analysis of the use of visual metaphor in specialized genres. In these studies visual metaphor identification seems to be quite straightforward. However, a reliable procedure for identifying visual metaphor in all sorts of contexts still needs to be developed. The first step of such procedure is concerned with the acquisition of a general understanding of an image. In this article we explore the issues that analysts face when they look at the image and establish its general meaning.
A Unified Approach to Online Matching with Conflict-Aware Constraints

Online bipartite matching and allocation models are widely used to analyze and design markets such as Internet advertising, online labor, and crowdsourcing. Traditionally, vertices on one side of the market are fixed and known a priori, while vertices on the other side arrive online and are matched by a central agent to the offline side. The issue of possible conflicts among offline agents emerges in various real scenarios when we need to match each online agent with a set of offline agents.For example, in event-based social networks (e.g., Meetup), offline events conflict for some users since they will be unable to attend mutually-distant events at proximate times; in advertising markets, two competing firms may prefer not to be shown to one user simultaneously; and in online recommendation systems (e.g., Amazon Books), books of the same type “conflict” with each other in some sense due to the diversity requirement for each online buyer.The conflict nature inherent among certain offline agents raises significant challenges in both modeling and online algorithm design. In this paper, we propose a unifying model, generalizing the conflict models proposed in (She et al., TKDE 2016) and (Chen et al., TKDE 16). Our model can capture not only a broad class of conflict constraints on the offline side (which is even allowed to be sensitive to each online agent), but also allows a general arrival pattern for the online side (which is allowed to change over the online phase). We propose an efficient linear programming (LP) based online algorithm and prove theoretically that it has nearly-optimal online performance. Additionally, we propose two LP-based heuristics and test them against two natural baselines on both real and synthetic datasets. Our LP-based heuristics experimentally dominate the baseline algorithms, aligning with our theoretical predictions and supporting our unified approach.
The Design and Implementation of a Hardware Crypto Core for Securing Pervasive Devices

There is generally a high demand for lightweight cryptography for the fact that low-cost sensing devices used on the Internet-of-Things (IoT) platforms are required to be secured. This paper implements a lightweight crypto core that unifies a variety of algorithms while meeting the hardware area requirement of constrained devices. The cryptographic core consists of an Elliptic Curve Diffie-Hellman (ECDH) protocol for key exchange, a unified architecture of two encryption/decryption lightweight ciphers (PRESENT and a newly proposed algorithm) and a unified architecture of four Hopper-Blum (HB type) authentication protocols (HB, HB+, HBMP, and HBMP+). All the unified hardware architectures share resources in other to minimize the total hardware area of the core. The cryptographic core was designed using Verilog Hardware Description Language (HDL) and implemented on Virtex4 Field Programmable Gate Array (FPGA) which synthesized to 8644 slices at 164 MHz maximum clock frequency.
Student Interactions with Online Videos in a Large Hybrid Mechanics of Materials Course.

The hybrid course format has gained popularity in the engineering education community over the past few years. Although studies have examined student outcomes and attitudes toward hybrid courses, a limited number of studies have examined how students interact with online videos in hybrid courses. This study examined the video-viewing behaviors of students and their reasons for deciding to watch or not watch videos in a hybrid sophomore-level Mechanics of Materials course. The findings show that when students played the videos, they watched most of the content; for videos 1 to 22 minutes long, the number of times played and the percentage of videos completed did not vary; the number of times played depended on the difficulty of a video’s topic; and the number of times played increased during exam periods. Students’ reasons for watching or not watching videos were identified. The findings have implications for the development of online videos for hybrid courses and improving engineering student utilization of videos.
FPGA-based of Thermogram Enhancement Algorithm for Non-destructive Thermal Characterization

Thermal imaging technology is used to translate thermal energy or heat into visible light for analyzing the sample images known as a thermogram. It has numerous applications such as for surveillance, medical diagnosis, and other industry which requires a non-contact temperature measurement, etc. The image results of this proposed algorithm show more visible features in terms of the separation between the sampled object and its background. The extraction process used the integrated Otsu method and the high-value thermal algorithm. The color mapping process helps to highlight the necessary characteristics of the sampled thermal images. This work is synthesized using Xilinx Zync 7000 ZED ZC702. The experimental results extracted more significant features and characteristics of the sampled image. In addition, the proposed algorithm shows a faster processing time and minimizes the resource utilization compared with the other methods.
El papel del capital humano en la distribución del ingreso

Este articulo investiga el impacto del capital humano en la distribucion del ingreso, para el periodo de 1960-2000. El capital humano (educacion) se mide a partir de su distribucion y de su desviacion estandar, es decir, de su medida relativa y absoluta. Partiendo del modelo teorico del capital humano, desarrollado por Gary Becker (1966) se establecio que a medida que varia la desigualdad de la educacion y su distribucion, el impacto en la distribucion del ingreso no sera necesariamente negativo. Se observa que la mejor relacion entre la distribucion del ingreso y la distribucion de la educacion, es una relacion no lineal, encontrando en la evidencia empirica una U no invertida. Tambien se determina que antes de estudiar la relacion entre la distribucion del ingreso y de la educacion, se debe enfatizar al comportamiento entre los anos promedios de escolaridad y su dispersion. Por que? , Porque a partir de esta relacion, se pude comprender la hilacion que se guarda entre el ingreso y el capital humano.
Evaluating Fund Stabilization Programs with Multicountry Data: Some Methodological Pitfalls

A noteworthy by-product of the continuing debate over the benefits and costs of Fund conditionality has been the development of a considerable empirical literature on Fund stabilization programs (that is, on stand-by and extended arrangements with the Fund). Furthermore, although the first studies of Fund program experience were carried out almost exclusively by Fund staff (for example, Reichmann and Stillson (1978), Reichmann (1978)), the past seven years have witnessed at least as much quantitative scrutiny of Fund programs from outside the Fund as from within it.