Miracle-dz/UniFAR-FTUs huggingface dataset:
A multiscale approach to assess geomorphological processes in a semiarid badland area (Ebro Depression, Spain)

In this paper, three methods (Terrestrial Laser Scanner (TLS), terrestrial Structure from Motion photogrammetry (SfM) and aerial SfM photogrammetry with an Unmanned Aerial Vehicle (UAV)) were evaluated and compared to produce high resolution point clouds and Digital Elevation Models (DEMs) in a semiarid, complex badland area (Los Aguarales) with tourism activities. Geomorphological processes and dynamics were studied at different spatial scales. The preliminary results showed the possibilities of a multiscale approach, using various non-invasive techniques, to assess geomorphological processes. The high resolution of the point clouds, obtained with TLS and terrestrial SfM photogrammetry, allowed preliminary identification of numerous spatial details, although no relevant topographical changes were detected during a short, wet spring period (with rainfall of 200 mm). UAV images allowed work at larger scales (catchment), mapping piping features, and could be seen as a worthwhile tool for time-effective data acquisition from larger areas. The application of different technologies and a multiscale approach to generate high resolution DEMs is a useful technique when carrying out geomorphological studies in semiarid badland areas. However, long term studies will be necessary to verify the suitability of these techniques in such complex landscapes, and quantify topographical changes and erosion rates. Finally, the information obtained with these tools could be used to promote the study area as an interesting geomorphosite with opportunities for tourism.
Gender Differences in the Association between Psycho-social Factors and Smoking, Drinking in Adolescents

Purpose: This study was to investigate the gender difference of relationship between psycho-social factors ana smoking, drinking in adolescents. Method: The stratified cluster sample consisted of 925 adolescents. Data were collected from May to March 2002. The instruments used in this study were Perceived Stress, DES-D, Social Support and Self-Esteem. Results: The results showed that female had more perceived stress, depressed than male. Male had more social support network, smoke than female. Male who smoked cigarettes were more perceived stress, depressed than those who did not smoke. Female who smoked cigarettes were more social support network, and had less self-esteem than those who did not smoke. Also male who drank alcohol were more perceived stress, depressed than those who did not drank. Female who drank alcohol were perceived stress, depressed, social support network, and had less self-esteem than those who did not drank. Conclusion: It is hoped that much more research on gender difference in adolescents who smoked cigarettes, drank alcohol will be implemented in the future. In addition, it is suggested the application of various interventions to deal with drinking and smoking behavior among female and male adolescents.
Human Pose Retrieval for Image and Video collections

With overwhelming amount of visual data on the internet, it is beyond doubt that a search capability for this data is needed. While several commercial systems have been built to retrieve images and videos using meta-data, many of the images and videos do not have a detailed descriptions. This problem has been addressed by content based image retrieval (CBIR) systems which retrieve the images by their visual content. In this thesis, we will demonstrate that images and videos can be retrieved using the pose of the humans present in them. Here pose is the 2D/3D spatial arrangement of anatomical body parts like arms and legs. Pose is an important information which conveys action, gesture and the mood of the person. Retrieving humans using pose has commercial implications in domains such as dance (query being a dance pose) and sports (query being a shot). In this thesis, we propose three pose representations that can be used for retrieval. Using one of these representations, we will build a real-time pose retrieval system over million movie frames. Our first pose representation is based on the output of human pose estimation algorithms (HPE) [5, 26, 80, 103] which estimate the pose of the person given an image. Unfortunately, these algorithms are not entirely reliable and often make mistakes. We solve this problem by proposing an evaluator that predicts if a HPE algorithm has succeeded. We describe the stages required to learn and test an evaluator, including the use of an annotated ground truth dataset for training and testing the evaluator, and the development of auxiliary features that have not been used by the (HPE) algorithm, but can be learnt by the evaluator to predict if the output is correct or not. To demonstrate our ideas, we build an evaluator for each of four recently developed HPE algorithms using their publicly available implementations: Andriluka et al. [5], Eichner and Ferrari [26], Sapp et al. [80], and Yang and Ramanan [103]. We demonstrate that in each case our evaluator is able to predict whether the algorithm has correctly estimated the pose or not. In this context we also provide a new dataset of annotated stickmen. Further, we propose innovative ways in which a pose evaluator can be used. Specifically, we show how a pose evaluator can be used to filter incorrect pose estimates, to fuse outputs from different HPE algorithms, and to improve a pose search application. Our second pose representation is inspired by poselets [13] which are body detectors. First, we introduce deep poselets for pose-sensitive detection of various body parts, that are built on convolutional neural network (CNN) features. These deep poselets significantly outperform previous instantiations of Berkeley poselets [13]. Second, using these detector responses, we construct a pose representation that is suitable for pose search, and show that pose retrieval performance is on par with the state of the art
Board Gender Diversity, Investor Protection, and Private Information-Based Trading

ABSTRACT This study examines the effects of board gender diversity and investor protection on private information-based trading and its persistent form. The results generally show that board gender diversity plays a significant part in preventing stock trading activities based on private information as well as persistent private information-based trading. Investor protection is also found to be significant and more pronounced in mitigating private information-based trading, but its function is hindered by the persistence of private information-based trading. Overall, the findings suggest that, besides strengthening the investor protection, policymakers should also encourage the involvement of women on boards of directors.
Projeto e validação experimental de um controlador robusto h2 aplicado a conversores Boost

Master’s Dissertation Programa de Pós-Graduação em Engenharia Elétrica Universidade Federal de Santa Maria, RS, Brasil DESIGN AND EXPERIMENTAL VALIDATION OF A ROBUST H2 CONTROLLER APPLIED TO BOOST CONVERTERS Author: Luiz Antonio Maccari Junior Advisor: Vińıcius Foletto Montagner Place and Date: Santa Maria, July 25, 2011. This dissertation presents as the main contribution the design and experimental validation of a robust H2 controller applied to boost converters with variations on the parameters load resistance, input voltage and operating point duty cycle. First, a polytopic model of the plant is presented, allowing to represent all the possible variations of the parameters within intervals previously established. Design conditions for a robust H2 controller, optimal under the quadratic stability, are detailed and used, allowing to efficiently calculate the controller gains. These gains are implemented with analog circuitry and the closed-loop system is tested by means of simulation and experimental results, which show a good match and illustrate a good performance. Finally, the small perturbation rejection capacity of the closed-loop system subject to parametric variations is evaluated using the H∞ guaranteed cost.
FMEA Approach for Decreasing ERP Implementation Failure using Critical Failure Factors

The Enterprise Resource Planning (ERP) implementation projects have high failure rates. Any conflict done during the ERP implementation process leads to errors in business decision making, decrease productivity and profitability, and can affect the project success. The main purpose in this paper using Failure Modes Effects Analysis (FMEA) approach to deal with help in increasing the success rate of ERP implementation projects. This achieved through defining main failures and failure factors related to ERP implementations. The ERP projects are divided into three stages; Pre, during and post implementation. Each stage analyzed to define its main characteristics and its different failures and failure factors. Many risks can affect and lead to failure in ERP Implementation. The risk management techniques are very useful before, during and post ERP Implementation phases. The FMEA approach assesses and evaluates the defined failures and failure factors providing a quantitative measure for each risk of failure. Our study describes how to reduce ERP Failures by decreasing the risk value, so the researchers enhance the FMEA approach by a Proposed Enhanced FMEA approach to measure the risk. Based on the four organizational critical areas the researchers’ uses four sub categorization aspects, Financial, Customer, Legal & Regulation, and Business Operation. The Enhanced FMEA approach leading to success of ERP implementation. General Terms Failure Modes Effects Analysis, Enterprise Resource Planning.
CRITICAL ACADEMIC DISCIPLINE ANALYSIS IN ENGINEERING COURSES WITH INTERDISCIPLINARY TENDENCY

The present work undertakes a critical analysis of the discipline “Nuclear Waste” offered to the students of the courses of energy engineering and environmental and urban engineering within the interdisciplinary model of the Federal University of ABC. The students form a heterogeneous group regarding basic education, aspirations and professional interests. The objective of this work is to propose changes in this discipline aiming at attending the two groups of students through combining the perspective of the two engineering courses within the interdisciplinary model. The authors start searching for parameters related to interdisciplinarity that can guide this study. Next, they consider pedagogical alternatives and learning methods presented in the literature. Specific issues regarding teaching and learning are identified and discussed. The pedagogical strategy adopted is based on constructivist theories and can be generalized to other courses aiming at some interdisciplinary field. Its main points include stimulating group work with students of different background, providing a historical view of the development of the disciplines involved, and enabling the teacher to mediate discussions in the classroom.
A Perspective Study of Virtual Machine Migration

Generally, the term “virtualization” refers to the process of converting a hardware-based entity into a software-based component. The final result of such a procedure is encapsulation of an entity’s logic and hence Virtual Machine (VM) derived its name. Virtualization separates hardware from software and has benefits of server consolidation and live migration. The main advantage of this technique is that multiple VMs can run on top of a single physical host, which can make resource utilization much more efficient. Of particular interest are those VMs with high availability requirements, such as the ones deployed by cloud providers, given that they generate the need to minimize the downtime associated with routine operations. While physical hosts have to be powered down for maintenance, the VMs that they serve can migrate to execute on other physical nodes. It is also common to migrate VMs when load balancing is needed in the physical plane. The process of migrating VMs without any perceptible downtime is known as Live Virtual Machine Migration and is the topic of this paper. This nontrivial problem has been studied extensively and reasonable solutions have been put to
A Multibiometric Hand Security System

There is practically no wholesome approach in ensuring total security of systems. In this revolutionized and digital world, the increasing need of security to protect individuals and information has led to a rise in developing biometric systems over traditional security systems. Recently, hand vein pattern biometrics has gained increasing interest from both research communities and industries. However, there are many problems like noisy data, intra-class variations, restricted degrees of freedom, non-universality, spoof attacks, and unacceptable error rates that can occur when using unimodal biometric. To overcome the disadvantages of unimodal biometrics of the hand features, a multimodal hand biometric using dorsal hand vein patterns and palmprints, has been deployed. However, another challenge that crops up with multibiometric is the level at which fusion takes place. In this work, fusion was experimented at feature extraction level and at score level. From the experiments conducted, it can be concluded that multimodal biometrics has a better recognition rate compared to unimodal biometrics. Thus, using this multimodal hand biometric deployed, a higher level of security can be achieved. 
Research on Improved Collaborative Filtering Algorithm Based On HADOOP

Collaborative filtering algorithm is the most used items recommendation algorithm. We find the k neighbors with the highest similarity by calculating user similarity and recommend items for users by the score of the neighbors of the items. In the paper, we propose a hybrid recommendation algorithm based on user similarity and attribute weights to solve user ratings sparsity. We obtained the weights of users like properties through learning user ratings records and combined with the user similarity for users to recommend item. Finally, we transplant the algorithm to HADOOP platform. Through the experiment, the improved collaborative filtering algorithm is better than the original algorithm in precision and parallel attribute.
What are the Antecedents of Safety Performance in the Workplace

ID: 2006 Given the progressive growth of interest in both academic and practitioners about safety performance in the workplace, the aim of this study is to provide a review of the literature on workplace safety from the perspective of the antecedent of safety performance. By conducting a systematic literature review, a list of relevant contributions on workplace safety is provided. The contributions were analyzed and classified regarding the arguments about the antecedents of safety performance. The study integrated different domains of the antecedent of safety performance to provide a clear and consistent definition for the concept of “antecedent” when applied to safety performance. Moreover, a list of common antecedents of safety performance was extracted from the literature and categorized. Finally, a unified and classified framework for antecedents of safety performance is proposed. From an academic perspective, this paper enables future research in developing research streams on the antecedents of safety performance. Equally important, practitioners can employ the proposed framework to select leading KPIs for safety performance evaluation and monitoring in the workplace.
INFORMATION TECHNOLOGY STRATEGIC PLANNING: ANALYSIS OF CONCEPTS, FRAMEWORKS AND PROCESSES PRESENTED IN TEXTBOOKS PUBLISHED IN BRAZIL

O objetivo deste trabalho é estabelecer uma análise comparativa dos principais conceitos e frameworks que tratam sobre a dinâmica para elaboração do Planejamento Estratégico de Tecnologia de Informação (PETI), a partir da análise de 29 livros didáticos publicados no Brasil no período entre 2001 e 2015, além do framework COBIT 5. O método utilizado foi descritivo, dedutivo e qualitativo. Os principais resultados auferidos apontam tendência crescimento no número de obras, autores de origem brasileira, com uma coautoria ou de autoria individual, em quinze diferentes editoras. Os frameworks genéricos mais empregados no desenvolvimento do PETI foram: 5 Forças Competitivas, Fatores Críticos de Sucesso, Balanced Scorecard e Cadeia de Valor, enquanto os específicos da área de TI foram: Alinhamento ABSTRACT:
MATERNAL RELATIONSHIPS, BULLYING, AND DEVIANCE: A COMPARISON OF ADOLESCENTS WITH AND WITHOUT MEDICAL CONDITIONS

OF THESIS MATERNAL RELATIONSHIPS, BULLYING, AND DEVIANCE: A COMPARISON OF ADOLESCENTS WITH AND WITHOUT MEDICAL CONDITIONS The purpose of the current study was to examine and compare the quality of the mother-adolescent relationship, the prevalence of bullying and cyberbullying perpetration and victimization, and the prevalence of externalizing behaviors, as well as the relationship among these constructs, in a clinical and a nonclinical sample of adolescents. It tested a series of hypotheses focused on group differences in the mother-adolescent relationship, peer victimization, and externalizing behaviors (i.e. deviant behaviors and bullying perpetration) for the clinical and nonclinical samples. It also tested the relationships between the mother-adolescent relationship and peer victimization, deviant behaviors, and bullying perpetration, and whether these links varied in the clinical versus non-clinical samples. Multiple regressions were used to test the first three hypotheses, while path analyses were used to test the latter hypotheses. Findings provide evidence that adolescents in the clinical group reported significantly closer relationships with their mothers and lower levels of externalizing behaviors; no differences were found in the likelihood of experiencing peer victimization. Maternal support was a negative predictor of peer victimization, and maternal support and monitoring were negative predictors of deviant behaviors and bullying perpetration. These links were invariant across clinical versus non-clinical samples.
The Effect of Network Characteristics on Online Identity Management Practices

ABSTRACT As online social networking permeates all aspects of personal and professional lives, users of social networking sites (SNSs) are more motivated than ever to manage their online identities to project a favorable impression of themselves to online audiences. This research builds on the boundary management perspective to gain a better understanding of online identity management practices by examining the relationship between characteristics of the online social network, including cognitive homogeneity and social tie variety and the use of identity management practices such as segmentation and self-enhancement. The proposed research model is tested using survey data. The findings suggest cognitive homogeneity is positively related to the use of both identity management practices, segmentation and self-enhancement, whereas social tie variety is positively related to segmentation, but not self-enhancement practices. We conclude with implications of the study results for research and practice, as well as a discussion of directions for future research.
The Inheritance And Innateness Of Grammars

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ARE NEW DIGITAL INFLUENCERS RUINING YOUR BUSINESS? THE EFFECTS OF NEGATIVE WORD-OF-MOUTH INITIATED BY SOCIAL MEDIA NEW INFLUENCERS IN FASHION ON CONSUMERS´ INTENTIONS TO PURCHASE AND RECOMMEND THE BRAND

new H2a and H2b only consumers exposed to negative posts were considered, being split in 2 groups, based on their level of self-congruity (high >4 in 7 points Likert-type scale). Differences between groups were analyzed with significant results obtained (p<0.05). For testing H3 , only consumers exposed to negative WOM were considered, being split in 2 groups, based on their level of perceived credibility (high >4 in 7 points Likert scale). Differences between groups were analyzed, with significant differences (p<0.1) obtained. There fore H3 was accepted. The results indicate that negative eWOM propagated by new influencers in fashion (e.g. bloggers, instagrammers, youtubers) has significant effects on consumers intentions regarding purchase and recommendation, when compared with positive eWOM. Moreover, the negative effects of eWOM on consumers´ intentions regarding purchase and recommendation are significantly higher when consumers nurture a lower level self-congruity with the brand. Finally, the negative effects tend to be higher when the new influencer is perceived as high in credibility. and
WHAT DIFFERENCE DO POLARIZATION MEASURES MAKE? AN APPLICATION TO CHINA

In recent years there has been much discussion of the difference between Inequality and Polarization. The vast literature on inequality is held to miss out key features of distribution change, which are better described as changes in the polarization. Axioms have been proposed which capture some of these differences, and measures of polarization, as distinct from inequality, have been suggested. The theoretical distinctions proposed in this literature are indeed interesting. But the question remains what difference does it all make in actual application? Do the newly proposed measures of polarization give dramatically different results in comparing societies over time, or with each other? We address these questions for China, where dramatic increase in inequality and polarization have been much discussed in the literature. We find that, contrary to theoretical expectation, empirically the new measures of polarization do not give us very different results from the standard measures of inequality. The paper ends by considering a different way of thinking about polarization which might better conform to the empirical patterns observed, and policy concerns expressed.
An Efficient Higher Order And High Speed Kogge-Stone Based CSLA Using Common Boolean Logic

Adders are the basic building blocks of any processor or data path application. In adder design carry generation is the critical path. In this paper, we propose An Efficient and high speed carry select adder by replacing Ripple Carry Adders with parallel prefix adders (Kogge-Stone) for Cin=0 stage and common Boolean logic for Cin=1 stage. In this proposed method we can reduce delay and area by 3%, 26% and 5% for 16-bit , 5%, 34% and 14% for 32-bit, 8%, 41% and 19% for 64-bit and 9%,46% and 21% for 128-bit compare to the modified adders (Regular CSLA, Regular with BEC and Regular with CBL). Keywordsprefix adder (Kogge-Stone), CSLA, CBL, delay, area-efficient.