Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on autonomous braking control system based on motion prediction considering overtaking motion of cyclists

This paper presents motion prediction model of cyclist based on potential field for a hazard-anticipatory collision avoidance braking system to enhance the collision avoidance performance and secure the smoothness of driving. The target situation is chosen as the scene that a cyclist overtakes a pedestrian or another slow cyclist based on the traffic survey. The 1st order motion prediction method reaches its limit under the situation that a cyclist runs towards a pedestrian or another cyclist as the prediction is conducted based on the current position and velocity of cyclist within a finite time horizon. If the overtake action of cyclist can be predicted before the cyclist changes moving direction, the vehicle maneuver to avoid collision with cyclist can be executed in advance without activating harsh braking. The trajectories of cyclists overtakes a pedestrian and a slower cyclist is measured to find the characteristics in overtake action. Motion prediction model of cyclist based on potential field is constructed by considering the trajectory analysis. The effectiveness of the proposed prediction model in the target scenario is verified by comparing the measured trajectory with the calculated data based on 1st order prediction and the proposed method.
The Effects of Video Instructor’s Body Language on Students’ Distribution of Visual Attention: an Eye-tracking Study

Previous studies have shown that the instructor’s presence in video lectures has a positive effect on learners’ experience. However, it does increase the cost of video production and may increase learners’ cognitive load. An alternative to instructor’s presence is the use of embodied pedagogical agents that display limited but appropriate social signals. In this extended abstract, we report a small experimental study into the effects of video instructor’s behaviour on students’ learning experience, with the long term aim of better understanding which instructor’s social signals should be applied to pedagogical agents. We used eye-tracking technology and data visualisation techniques to collect and analyse students’ distribution of visual attention in relation to the instructor’s speech and body language. Participants also answered questions about their attitudes toward the instructor. The results suggest that the instructor’s gaze directed towards the lecture’s slides, or a pointing gesture towards the slides, is not enough to shift viewers’ attention. However, the combination of both is effective. An embodied pedagogical agent should be able to display a multimodal behaviour, combining gaze and gestures, to effectively direct the learners’ visual attention towards the relevant material. Furthermore, to make learners pay attention to the lecturer’s speech, the instructional agent should make use of pauses and emphasis.
Save, Spend or Give? A Model of Housing, Family Insurance, and Savings in Old Age

We propose that interactions among old-age risks, housing, and family insurance are key for understanding the economic behavior of the elderly. Empirically, we find that homeownership reduces dis-saving while increasing the likelihood and persistence of informal care from children, which in turn protects bequests by preventing nursing home entry. Nonetheless, elderly parents and the childless display strikingly similar savings and bequests. Additionally, we calculate that one-fourth of transfers from retired parents to children flow before death. We build a dynamic model featuring strategic interactions between imperfectly-altruistic parent and child households, a housing choice, and long-term-care risk. The model successfully rationalizes our empirical findings. Homes are valuable for inducing care from children, accounting for 10% of ownership. Although the childless have no altruistic motive for saving, they resemble parents because they lack family insurance and thus have a stronger precautionary motive. Parents withhold most transfers until death for strategic reasons.
Análise do controle interno do poder executivo federal brasileiro sob a perspectiva de pierre bourdieu: história social como possibilidade de compreensão da produção e reprodução de práticas dos agentes

Esta tese utiliza a estrutura teorica e metodologica de Pierre Bourdieu para compreender as praticas dos agentes do Sistema de Controle Interno (SCI) do Poder Executivo Federal e a interface que eles estabelecem com a gestao publica. Essa estrutura representa uma alternativa as dicotomias dominantes nas ciencias humanas, tais como razao/cultura, objetividade/subjetividade, para a analise de fenomenos sociais. O autor propoe a compreensao relacional do mundo social, defendendo que a realidade pode ser mais adequadamente alcancada por meio da decifracao da formacao mutua entre os elementos que a compoem e pela identificacao das disposicoes que estao submersas as praticas e percepcoes dos agentes integrantes de espacos especificos. A partir dessa perspectiva, este trabalho buscou compreender o controle interno do Poder Executivo Federal, por meio da evolucao reflexiva entre normas e agentes institucionais que contribuiram para a genese desse espaco social, para funcionar em situacao de relativa autonomia. Ficou evidenciado longo processo historico de disputas entre agentes com poder e interesse em prevalecer na definicao dos processos de legitimacao dos atos praticados por agentes responsaveis pela utilizacao de recursos publicos naquele âmbito. Como resultado, foi possivel identificar elementos que justificaram a diferenciacao do espaco social, conhecer disposicoes que direcionam as praticas dos agentes que o integram, compreender mais adequadamente o papel do Sistema em relacao a gestao publica federal
International competitiveness in a vertically fragmented production structure: empirical challenges and evidence

We explore value-added trade measures to illustrate countries specialization patterns in vertically integrated production networks.We argue that trade analyses grounded on statistics based on gross export flows are becoming less and less appropriate to support political discussions. With this in mind, we calculate bilateral trade balances and the revealed comparative advantage (RCA) in gross and value-added terms as proposed by Koopman et al. (2014). Our findings indicate that bilateral trade deficits or surpluses are not what used to appear prior to the emergence of global value chains (GVCs), as well as a countryÂ´s specialization pattern and its export performance. Our findings highlight a positive linear association between higher levels of domestic value-added (DVA) and higher levels of RCA, though restricted to a limited group of countries. The findings show that most countries that have remained internationally competitive in manufacturing sectors over time have also experienced the largest increases in DVA shares of their sectorÂ´s gross exports. China is the most relevant exception, since the country has risen its international competitiveness and is prominent in adding domestic value to its gross exports. The implications of our findings go beyond the case of China. They indicate that researchers must be cautious about drawing policy conclusions when there are signs that productive capabilities play an important role in countries integration in GVCs and its outcomes.
Optimization of Deep Convolution Neural Network Based on Sparse DropConnect

According to the problem of overfitting in the traditional Convolutional Neural Networks(CNN) with large samples, an improved sparse DropConnect algorithm is put forward. With proposed algorithm, the CNN is improved and optimized. The performance of the network in image recognition is verified. Experiments of weld image recognition and classification indicate that the selective ability of the CNN on the sparse feature is improved. High recognition accuracy and classification accuracy of test sample are achieved. Over-fitting in the traditional network model can be avoided. More important, the feature sparsity and discriminative ability of the CNN are increased.
Optimal Utilization of Government Assisted Financing for Poor Patients: Facilitation by a Hospital

Introduction: Sole objective of healthcare financing is that rich and poor should be treated equally as poverty is not a disability and wealth is not an advantage. Approximately, 78% of Indian population spends for healthcare from out of pocket expenditure, remaining by salary, agriculture, business, etc. Only 3% population is covered by health insurance. Prime minister (PM) fund is one of the methods to offset the treatment cost from poor. Objective: Present paper is aimed to highlight the contribution of PM fund for patients getting treatment at Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS) hospital and efforts made by hospital for its optimal utilization. Materials and methods: Retrospective studies were carried out in 2010 and July 2013 for contribution received form PM fund for indoor poor patients treatment during last 5 years, number of patient availed/not availed financial assistance, reasons for not availing, on the line of problem solving process. Efforts made by SGPGIMS for its optimal utilization were also highlighted. Result: During financial year 2007-2008 to 2009-2010, total 1246 patients received the fund of worth USD 1.30 million ( ` 78792750.00) and only USD 1.09 million ( ` 65569869.00) was utilized by 1110 (89%) patients. One hundred and thirty-six (10.91%) patients did not utilize. Hospital administration made efforts for optimal utilization by minimizing the barriers, consequently it improved the utilization by 8.20%. During financial year 2010-11 to 2011-12, USD 1.85 million ( ` 111081789.00) was received for 1450 patients, out of which 730 patients have already utilized and 682 are still using the fund (total 1412/97.40%) and 38 patients (2.60%) did not use it. Conclusion: Simple efforts made by hospital improved the utilization of PM fund by 8.20% and poor were really benefited. Hospitals should also fulfill the social responsibility by facilitating the patients. of pocket expenditure, Below poverty line, Prime minister fund. How to cite this article: Chandra H, Bhardwaj ND, Mansoor F, Mandal R, Srivastava DC, Harsvardhan R. Optimal Utilization of Government Assisted Financing for Poor Patients: Facilitation by a Hospital. Int J Res Foundation Hosp Healthc Adm 2015;3(1):25-28.
On the dynamic interactions between sector-level REITs, their direct real estate counterparts and the stock market in Japan

Despite their short history of existence, Japanese REITs (J-REITs) play an increasingly important role as a vehicle for property investment. In this paper we examine the long-run relationship and short-run dynamics between REITs, direct real estate assets, and the stock market in Japan. Using a vector error correction model, we explore whether J-REITs behave like direct real estate assets or like common stocks. Our study is based on general and sector specific appraisal-based monthly real estate indices covering the retail, office, residential and hotel sectors. Cointegration as well as exclusion, and weak exogeneity tests indicate that in the long run J-REITs are good substitutes for direct real estate assets but not for stocks. That is, they are a liquid alternative to unsecuritised real estate which offers diversification benefits to long-horizon investment in the Japanese stock market. These findings are robust and hold across all real estate sectors. Analysis of forecast error variance decompositions and impulse responses shows that shocks to the J-REITs market have a substantial impact on the direct real estate market and the stock market. In contrast, shocks these two markets contribute substantially less of the forecast error variance of J-REITs. Further, Granger causality tests reveal a unidirectional causal relationship from J-REITs to the other asset classes providing evidence that information aggregation and price discovery occurs predominantly in the J-REITs market.
A Survey: Attribute Based Encryption for Secure Cloud

Cloud computing is an enormous area which shares huge amount of data over cloud services and it has been increasing with its on-demand technology. Since, with these versatile cloud services, when the delicate data stored within the cloud storage servers, there are some difficulties which has to be managed like its Security Issues, Data Privacy, Data Confidentiality, Data Sharing and its integrity over the cloud servers dynamically. Also, the authenticity and data access control should be maintained in this wide environment. Thus, Attribute based Encryption (ABE) is a significant version of cryptographic technique in the cloud computing environment. Public Key Encryption acts as the basic technique for ABE where it provides one to many encryptions, here, the private key of users & the cipher-text both rely on attributes such that, when the set of the attributes of users key matches set of attributes of cipher-text with its corresponding access policy, only then decryption is possible. Thus, an opponent could grant access to the sensitive information that holds multiple keys, if it has at least one individual key for accession. The techniques based on ABE consist of two types: KP-ABE (Key- Policy ABE) where the user’s private key is linked to an access structure (or access policy) over attributes and cipher-text is connected to the set of attributes, and CP-ABE (cipher-text policy ABE) is vice versa. Hence, in this, Review we discuss about the various security techniques and relations based on Attributes Based Encryption, especially, the type KP-ABE over data attributes which explains secured methods & its schemes related to time specifications.
COMMUNICATION AND MANIPULATION STRATEGIES OF TRAVEL GUIDES PRESENTING CROATIA – A LINGUISTIC PERSPECTIVE

Purpose – It is amazing that in the age of IT, despite the availability of alternative promotional tools, such as e-brochures and websites, which are easily accessible, hard print travel guides still remain as popular as ever because they can act as a substitute for a product which cannot be physically seen or inspected prior to comsumption. Also, tour operators can hardly standardize their products and services due to many uncontrollable factors (e.g. the weather). To maximize their persuasive power, tourism guides are found to be loaded with hyperbolic language and glamorous images. The question we would like to answer is how far this classical structure and the accompanying communication strategies still meet the requirements of their users. Accordingly, the purpose of this research is to analyze the communication and manipulation strategies of travel guides and consequently to offer some suggestions in order to modernize them and make more effective. Methodology – In our study, the travel guides are subject to a multimodal analysis which includes a qualitative analysis focused on the linguistic resources and communicative strategies adopted to promote Croatia. Text linguistic analysis provides data about the language of the selected texts of travel guides, mostly on its morphology, syntax and lexis which is of great importance for potential tourists to situate a virtual text within a cognitive frame. A quantitative analysis (using Mediatoolkit) focused on the frequency and distribution of words in the texts provided further insight and additional value of the results gained by qualitative research. Finally, a sentiment analysis of the contents and of the general feelings of the selected travel guides texts, using open source tools, was performed. Findings – This research will result in several outputs concerning the qualitative linguistics, quantitative and sentiment analysis of the selected texts (evaluative terms, positive, negative or neutral sentiments). Contribution – The preliminary results of this research will open up opportunities for future research and practical implications of the results gained that could be implemented in the creation of modern travel guides evoking positive sentiments.
Location- and relation-based clustering on privacy-preserving social networks

Graph clustering has a long-standing problem in that it is difficult to identify all the groups of vertices that are cohesively connected along their internal edges but only sparsely connected along their external edges. Apart from structural information in social networks, the quality of the location-information clustering has been improved by identifying clusters in the graph that are closely connected and spatially compact. However, in real-world scenarios, the location information of some users may be unavailable for privacy reasons, which renders existing solutions ineffective. In this paper, we investigate the clustering problem of privacy-preserving social networks, and propose an algorithm that uses a prediction-and-clustering approach. First, the location of each invisible user is predicted with a probability distribution. Then, each user is iteratively assigned to different clusters. The experimental results verify the effectiveness and efficiency of our method, and our proposed algorithm exhibits high scalability on large
Transnational Terrorist Recruitment: Evidence from Daesh Personnel Records

Abstract Global terrorist organizations attract radicalized individuals across borders and constitute a threat for both sending and receiving countries. We use unique personnel records from the Islamic State in Iraq and the Levant (Daesh) to show that unemployment in sending countries is associated with the number of transnational terrorist recruits from these countries. The relationship is spatially heterogeneous, which is most plausibly attributable to travel costs. We argue that poor labor market opportunities generally push more individuals to join terrorist organizations, but at the same time, limit their ability to do so when longer travel distances imply higher travel costs.
Aplicação de técnicas de mineração de dados em problemas de classificação de padrões

O processo de descoberta de conhecimento em bases de dados (Knowledge Discovery in Databases KDD), incluindo a fase de mineracao de dados, vem sendo amplamente utilizado como ferramenta para auxiliar na tomada de decisao em areas como credito bancario e predicoes medicas. Neste trabalho este processo de KDD e estudado tendo como objetivo avaliar a utilizacao de metodos de mineracao de dados aplicados em areas da engenharia eletrica, sendo a abordagem feita sobre uma base de dados oriunda de testes de cromatografia de transformadores de potencia. A mineracao de dados e aplicadapara obter uma classificacao de tipos de defeitos dos transformadores. As tecnicas abordadas no trabalho sao redes neurais e arvores de decisao. As estruturas de algoritmos escolhidas nestas tecnicas foram, respectivamente, a rede MLP com treinamento atraves do algoritmo de retropropagacao resiliente, simulada no MatLab, e a arvore gerada peloalgoritmo J4.8, simulada no aplicativo weka. O capitulo 2 traz um estudo sobre o processo de KDD, com as fases de todo o processo e suas respectivas atividades. No capitulo 3 e apresentada a fase de mineracao de dados, realcando suas diversas aplicacoes. Nos capitulos 4 e 5 sao feitos estudos das tecnicas e seus respectivos algoritmos. Em seguida sao apresentadas duas bases de dados consideradas benchmarkpara a validacao do estudo e finalmente os algoritmos sao aplicados a base de dados da cromatografia. Nos capitulos 7 e 8 sao apresentados os resultados e as conclusoes do trabalho, onde e visto que o processo de mineracao de dados pode ser aplicado em problemas na area da engenharia eletrica, porem devem ser feitos estudos sobre o dominio de cada base de dados a ser tratada.
Monitoring Occupational Shortages : Lessons from Malaysia's Critical Occupations List

Many emerging economies have skills shortages but fail to effectively deploy students andjob seekers towards filling those shortages. In emerging economies, new technologies,digitization, automation, and other trends like Industry 4.0 result in a constantly changing demandfor sophisticated skills. In this environment, there are often students and job seekers who couldpotentially fill skills gaps but face significant challenges in identifying job opportunities andthe skills needed to obtain them. The schools, training centers, and public service providers thatare responsible for preparing the workforce to fill skills gaps often face similar challenges in terms of deploying attention and resources towards filling those gaps. In Malaysia, the Critical Skills Monitoring Committee (CSC) is charged with producing a Critical Occupations List to serve as a platform for coordinating human capital development policies. The CSC is a specialized interagency body that was established as part of the Eleventh Malaysia Plan to monitor skills imbalances in Malaysia. To do so, the CSC created an annual Critical Occupations List (COL) of occupations that are middle- or highskilled, sought-after, and strategic. The COL has evolved during the last several years to become a best-practice tool for monitoring skills. The COL is updated regularly and improved continually, is based on rigorous evidence, and is widely circulated. The production of the list is undertaken by the CSC and incorporates a wide range of input from both the public and private sector.
The role of standardized patient assessment forms in medical communication skills education

Communication skills training is a routine practice in medical education designed to instruct and evaluate future physicians in matters of patient-provider interaction. Based on the United States Medical Licensing Examination Step 2 Clinical Skills (CS), medical schools across the United States hire and train standardized patients (SPs) to act as patients in and evaluators of simulated interactions with medical students (MSs). Using discourse analysis, I examine how a computerized assessment form creates a particularized version of communication skills with implications for future practice. The 39-item checklist is completed by SPs following a simulated interaction designed to prepare third-year MSs for the Step 2 CS. Specifically, I analyze how the form is structured to make recognizable specific communication skills tasks, who should complete said tasks, and what varying degrees of communication skills competency are within the realm of task completion. By analyzing the form, I consider the agency of texts in medical education, the implications of technologizing communication as an institutional skill, and the limitations of enlisting SPs to evaluate communication skills competency under the guise of a patient perspective.