Miracle-dz/UniFAR-FTUs huggingface dataset:
Gaussian process regression-based robust free space detection for autonomous vehicle by 3-D point cloud and 2-D appearance information fusion

Free space detection is crucial to autonomous vehicles while existing works are not entirely satisfactory. As cameras have many advantages on environment perception, a stereo vision-based robust free space detection method is proposed which mainly depends on geometry information and Gaussian process regression. In this work, in order to improve the performance by exploiting multiple source information, we apply Bayesian framework and conditional random field inference to fuse the multimodal information including 2-D image and 3-D point geometric information. Particularly, a Bayesian framework is used for multiple feature fusion to provide a normalized and flexible output. Gaussian process regression is used to automatically and incrementally regress the data, resulting enhanced performance. Finally, conditional random field with color and geometry constrains is applied to make the result more robust. In order to evaluate the proposed method, quantitative experiments on popular KITTI-road data set and qualitative experiments on our own campus data set are tested. The results show satisfactory and inspiring performance compared to the outstanding works and even are competitive to some relevant Lidar-based methods.
A SURVEY ON SUMMARIZATION OF EMAILS WITH CLUE WORDS

Popularity of emails is increasing day by day in each field of the industry, email overload [1] becomes a major problem [1] for many email users. Users consume a lot of time for reading, replying and fixing or organizing their emails. A new paradigm is comes in summarization i.e email summarization that consider only summary of whole text email. To help users organize their email folders, many forms of support have been suggested, including email classification, email visualization and Spam filtering
Influence of Taiwan Military¡¦s Facebook Community and Organizational Identification on Members¡¦ Attitude toward Joining the Military

This research explores the effect of Taiwan militaryi¦s Facebook community website on membersi¦ attitude toward the military, revealing the mediation effects of community and organizational identification on the attitude toward the military. This study analyzes quantitative survey data for military recruitment to validate five hypotheses, with the results showing that the Facebook community enhances community interaction, exchange of opinions, organizational identification, and attitude toward the military. The results also indicate that the attitude toward enlisting in the military is positively and significantly correlated with the community and organizational identification of the members of the Facebook community, although the effects with respect to community and organization differ.
Short-term stream flow forecasting and downstream gap infilling using machine learning techniques

Stream flow is an important component in the hydrological cycle and plays a vital role in many hydrological applications. Accurate stream flow forecasts may be used for the study of various hydro-environmental aspects and may assist in reducing the consequences of floods. The utility of time series records for stream flow analyses is often dependent on continuous, uninterrupted observations. However, interruptions are often unavoidable and may negatively impact the sustainable management of water resources. This study proposes the application of machine learning techniques to address these hydrological challenges. The first part of this study focuses on single station short-term stream flow forecasting for river basins where historical time series data are available. Two machine learning techniques were investigated, namely support vector regression and multilayer perceptrons. Each model was trained on historical stream flow and precipitation data to forecast stream flow with a lead time of up to seven days. The Shoalhaven, Herbert and Adelaide rivers in Australia were considered for experimentation. The predictive performance of each model was determined by the Pearson correlation coefficient, the root mean squared error and the Nash-Sutcliffe efficiency, and the predictive capabilities of the models were compared to that of a physically based stream flow forecasting model currently supplied by the Australian Bureau of Meteorology. Based on the results, it was concluded that the machine learning models have the ability to overcome certain challenges faced by physically based models and the potential to be useful stream flow forecasting tools in river basin modelling. The second part of this study investigates the ability of support vector regression and multilayer perceptron models to infill incomplete stream flow records. The infilling techniques relied upon data from donor stations and rain gauges within close proximity to the station considered for infilling. A case study was conducted on a channel in the Goulburn basin in Australia. The results showed the promising role of machine learning applications for the infilling of gaps in stream flow records and indicated that data from donor stations contribute more to the success of these models compared to precipitation data. ii Stellenbosch University https://scholar.sun.ac.za
Examining the State-Trait Composition of Social-Emotional Learning Constructs: Implications for Practice, Policy, and Evaluation

Abstract Social-emotional learning (SEL) is gaining prominence in education practice and policy. Research shows that SEL can be improved by short-term, targeted interventions and longer-term strategies to improve school contextual factors. However, little is known about how much of the variance in SEL constructs is stable over time versus specific to a given time/context. The present study examines the stability of academic achievement relative to four SEL domains (growth mindset, self-efficacy, social awareness, and self-management). While the rank ordering of math and reading skills are highly stable over time, the four SEL domains seem to be more strongly influenced by contextual factors. Implications for school accountability systems and intervention approaches are discussed.
Social Psychology, Phenomenology, and the Indeterminate Content of Unreflective Racial Bias

This chapter is about implicit bias. I began writing this, however, in the United States of 2017, during a period of burgeoning explicit bigotry and intergroup hostility. The dominant narrative surrounding implicit bias has been aversive racism,1 according to which most Americans are sincerely opposed to racial discrimination at the explicit level but biased at the implicit level. What, then, to make of the resurgence of full-throated self-ascriptions of white supremacy? Should we say, with apologies to Virginia Woolf, that on or about November 2016, human nature changed? Or that so many of us just got human nature completely wrong? This chapter argues that implicit bias actually helps to explain this resurgence of bigotry. But properly appreciating implicit bias’s explanatory power requires rewriting the dominant narratives about its content, conscious accessibility, and context sensitivity. One source of confusion is that “implicit” racial bias—the construct measured with tools like the Implicit Association Test (IAT)2—is often described as entirely unconscious. Perhaps describing implicit bias as completely unconscious helps people to acknowledge that they are “part of the problem” without becoming defensive. Yet the evidence consistently suggests that individuals are aware of their implicit biases, albeit in partial, inarticulate, or even distorted ways. These biases form part of the “background” of social experience, exerting a pervasive influence on attention, judgment, and action, even though they are often felt without being noticed, or noticed without being understood.3 To help make sense of these findings, this chapter develops a thought suggested by Linda Martín Alcoff and Gail Weiss, that implicit bias paradigmatically operates at the intermedi-
Brokers or Investment Advisers? The US Public Perception

We find that individuals are confused by the titles used by investment professionals and cannot distinguish between investment advisers and brokers. This confusion persists even among those with investment industry experience, a college degree, or a high level of perceived knowledge (one’s self-assessment or feeling of knowing the information). Surveyed individuals better identified the brokerage responsibilities of “an investment sales representative” (an alternate title for broker) than the more ambiguous titles brokers often use, such as “financial advisor. ” Disclosure: One of the authors, Patrick Lach, owns and operates an independent investment advisory firm. Editor’s Note Submitted 17 January 2019 Accepted 13 March 2019 by Stephen J. Brown
Working Memory Capacity and the Development of Quantitative Central Conceptual Structures

Abstract This article reconsiders Case’s theory of central conceptual structures (CCS), examining the relation between working memory and the acquisition of quantitative CCS. The lead hypothesis is that the development of working memory capacity shapes the development of quantitative concepts (whole and rational numbers). Study I, with 779 children from preschool to grade 5, validated a measure of the whole number CCS and found that children’s understanding of whole number advances by one developmental level per additional unit of working memory capacity. Study II, with 92 sixth- and seventh-graders, found that a test of the rational number CCS was predicted by working memory capacity and, to a lesser extent, by intrusion errors in the listening span. We also identified 2 subsets of items that demand a capacity of 4 or 5 units, respectively. Overall, the results support Case’s CCS theory and clarify the role of working memory in the acquisition of numerical concepts. The relevance of these results in relation to the current debate is discussed, with extensive connections to other current theories of whole or rational number comprehension.
THE MISSING LINK BETWEEN HIGH PERFORMANCE WORK PRACTICES AND PERCEIVED ORGANIZATIONAL POLITICS

ABSTRACT A vast majority of research characterizes organizational politics as an aversive phenomenon and thus recommends exploring the factors that minimize its intensity. This study primarily endeavored to examine the role of high performance work practices (HPWPs) in controlling organizational politics. The moderating influence of Machiavellian personalities on HPWPs- politics was also evaluated. Through a questionnaire survey, 243 responses were obtained from engineers working in a local industrial area of capital city of Pakistan. The results showed an inverse relationship between HPWPs and perceived organizational politics (POP), and the moderating role of Machiavellianism was substantiated. Practical implications are presented based on the study results.
THE IMPACT OF USING ENGLISH-ENGLISH INSTRUCTION ON IMPROVING LANGUAGE SKILLS FOR SEVENTH GRADERS

Arkin (2013) claims that the medium of education should be English if the purpose is to prepare students for international jobs. This research aimed at finding out the impact of using E-E instruction on improving the achievement of 7th graders at Jenin Camp Girls' School and Qalandiya Camp Boys' School, Palestine. The sample of the study comprises of (150) students in both schools. The study follows the experimental study design with two intact groups. Moreover, some quantitative and qualitative tools were used. The researchers used a t-test and eight interviews with teachers and students at Jenin Camp Girls' School and Qalandiya Camp Boys' School. T-test online calculator was used to analyze the results. The results showed that E-E instruction is more efficient on improving the studentsâ€™ achievement than the use of E-A instruction at Jenin Camp Girls' School. However, at Qalandiya Camp Boys' School the results do not prove the efficiency of using E-E instruction. In addition, the interviewees expressed their positive attitudes toward the use of EMI (English as a medium of instruction). The study recommended that there is a need to study the effect of using E-E instruction on improving speaking skill.
Child Socio-Emotional Skills: The Role of Parental Inputs

Informed by the psychological literature and our empirical evidence we provide new insights into the technology of socio-emotional skill formation in middle childhood. In line with economic evidence, increasing parental inputs that enrich the child home environment and reduce stress has larger returns for children with higher socio-emotional skills in early childhood (complementarity), but only for levels of inputs that are high. For low levels of inputs, i.e. levels implying a stressful home environment, an increase has a higher return for children with lower socio-emotional skills in early childhood (substitutability). Consequently, well targeted policies can reduce middle childhood socio-emotional gaps.
An investigation of the association between auditor switching and negative information

This study investigates the premise that certain types of negative information are associated with auditor switches. A data set of 305 auditor switches from 1976 to 1994, extracted from the Compustat data base (limited subscription), was analyzed using tests of proportions and nonparametric sign tests. The data set consists of negative information extracted from the switching companies' income statements (i.e., net losses or extraordinary items) or calculated from the items extracted (i.e., net income adjusted to reverse the effect of extraordinary items). The initial results, based on tests which assumed random movement of net income, did not support the notion that net losses or decreases in net income (with or without adjustment to reverse the effect of extraordinary items) occurred disproportionately in the year after the auditor switch compared to the year before the auditor switch. However, supplemental analyses which used a different expectation for net income (i.e., a 1972 finding by Ball and Watts that accounting net income each year is greater
Animation Augmented Reality Book Model (AAR Book Model) to Enhance Teamwork

This study aims to synthesize an Animation Augmented Reality Book Model (AAR Book Model) to enhance teamwork and to assess the AAR Book Model to enhance teamwork. Samples are five specialists that consist of one animation specialist, two communication and information technology specialists, and two teaching model design specialists, selected by purposive sampling. The instrument used in the study was an evaluation form for the Book Model. Statistics used in the study were arithmetic mean and standard deviation. The result shows that: an AAR Book Model to enhance teamwork achieved contains four components. Firstly, requirement analysis to create animation augmented reality; including 1) Objective setting, 2) Content analysis, 3) Student analysis, 4) Environment Analysis, 5) Teacher analysis, and 6) Creating animation augmented reality as a teaching material to motivate students. Secondly, teaching method: 1) Using gamification to motivate learning and practice; 2) Assigning students to work in teams and make a presentation. Thirdly, evaluating teamwork, conducted via teachers’ observation and creating an integrated scoring rubric. Lastly, analysis of feedback: All five specialists agreed that the AAR Book Model to enhance teamwork developed through this study has a highest level of suitability (= 4.75, S.D. = 0.04).
Sustainability in Supply Chains with Behavioral Concerns

Environmental sustainability has received considerable attention in industry and academia. Many firms have begun to adopt sustainability practices, such as investing in cleaner technology and using organic or recyclable materials, to enhance sustainability in supply chains. Such sustainability practices affect corporate social responsibility and business performance. On the other hand, when consumers and supply chain managers make decisions, they may be constrained by behavioral concerns. Behavioral concerns can significantly influence optimization in supply chains. Thus, it is critical to consider the impacts of behavioral concerns on sustainability in supply chains. In this paper, we concisely examine studies in sustainability issues in supply chains with behavioral concerns and introduce the papers featured in this Special Issue.
Detection of Malware and Rank Fraud Search in Google Play

The utilization of mobile devices including Tablets, Smart watch, and journals are expanding step by step. Android has the real offer in the versatile application showcase. Android versatile applications turn into a simple focus for the assailants due to its open source condition. Additionally client's numbness the way toward introducing and use of the applications. To distinguish counterfeit and malware applications, all the past techniques concentrated on getting authorization from the client and executing that specific portable application. Malware identification systems that find and break follows left behind by deceitful engineers, to identify seek rank extortion and malware in Google Play. The extortion application is distinguished by conglomerating the three bits of confirmation, for example, positioning b3ased, co-audit based and rating based proof. At long last amassing every one of the exercises of front running applications, it can be accomplish sure precision in arranging considerate standard datasets of malware, false and honest to goodness applications. Also, I apply incremental learning way to deal with describe a substantial number of informational collections. It consolidated viably for every one of the confirmations for misrepresentation recognition. To precisely find the positioning extortion, there is a need to mining the dynamic time frame's to be specific driving sessions, of versatile Apps.
The psychological well-being of emergency response personnel in the province of Cebu

ABSTRACT Emergency response personnel (ERP) hold a vital role in disaster management. They respond to victims in stressful situations yet there is limited information about their psychological well-being. This study aimed to explore the psychological well-being of ERP in the province of Cebu. Eight ERP from emergency response organisations in Cebu were purposely selected to participate in one-on-one interviews. Thematic analysis was used to identify key themes and subthemes. Themes that emerged were (1) The Perspective of an Unsung Hero, (2) Conditions Brought About by an Emergency Response, (3) Social Connections and Relationships, and (4) Fragments of the Past. Findings suggest that despite recurring exposure to disasters, ERP are able to improve oneself in the midst of adversity and value interpersonal relationships. Continued support from different public and private sectors is essential to cater their psychological needs which in turn contribute to their overall well-being. Occupational therapists, having roles in disaster response, can also provide support and strategies to contribute to emergency responders’ psychological well-being.
A atenção plena e a prática de Yoga.

O objetivo deste estudo foi verificar se a prática de Yoga influencia a Atenção Plena, em função das variáveis sociodemográficas género, idade, anos de prática, volume de prática e lecionação de Yoga. Os participantes foram 281 adultos, entre 18 e 90 anos, 81% mulheres e 19% homens, (214 praticantes de Yoga e 67 não praticantes). Aplicou-se o Questionário de Atenção Plena (FFMQ) (Baer, Smith, Krietemeyer, e Toney, 2006) na versão de Ramos, Rosado, Serpa, Cangas, Gallego, e Ramos (2017), que avalia quatro dimensões: Observar, Não Julgar, Descrever e Agir Conscientemente.Para analisar os dados utilizou-se o programa estatístico SPSS 25.0. Os resultados apontam para a existência de diferenças significativas em diversas dimensões da Atenção Plena. Na dimensão Observar os praticantes de Yoga apresentam diferenças significativas favoráveis aos praticantes. Considerando exclusivamente os praticantes evidenciou-se valores superiores na dimensão Observar para aqueles com mais de doze anos de prática e com maior volume semanal. No volume de prática os praticantes com maior volume apresentam também valores mais elevados no Agir Conscientemente. Considerando os professores de Yoga, relativamente aos praticantes, estes apresentaram valores superiores na dimensão Observar mas menor na dimensão Agir Conscientemente. As mulheres apresentam um comportamento específico, diferente dos homens, quer praticantes quer não praticantes. Na dimensão Não Julgar existem diferenças significativas quando se considera a idade, distinguindo-se praticantes com mais de 60 anos.Concluiu-se que a prática de Yoga pode contribuir para o aumento da Atenção Plena mas que a investigação deve continuar atendendo à multidimensionalidade do construto em causa.
Prediction of disability in schizophrenia: Symptoms, cognition, and self-assessment

Schizophrenia is associated with wide-ranging disability across multiple functional domains. There are several determinants of disability that have been identified to date, including cognitive and social cognitive impairments, impairments in everyday functional skills and social skills, difficulties in self-assessment of abilities, and negative symptoms. These impairments are related to different elements of disability, and disability and its predictors are not a single global dimension. Further, although psychotic symptoms have limited cross-sectional correlations with everyday functioning, emerging evidence suggests that long-term clinical stability, often induced through treatment with long-acting antipsychotic medications, is also associated with improvements in everyday functioning. This review addresses the characteristics and origins of disability, with treatment implications noted in each disability domains.
Utilization of research technologies within a local community hospital in Ann Arbor

Technology has the ability to change the way clinical trials are conducted. Technology utilization has expanded into research in the form ofhandheld smartphones, wearables, and social media. This project explored technologies and assessed which of those technologies are being utilized at a community hospital. A survey was designed, developed, and disseminated to principal investigators and co-investigators of research within the hospital. The results showed that few of the technologies included in the assessment are being utilized by the researchers at the hospital. The most popular technology category being utilized by the researchers is smartphone technology. This research could contribute to the knowledge about the utilization of research technologies to society, as well as to the operational directors of research within the community hospital, which could help reveal which technologies are most useful. This research could also aid in the assessment of technology utilization over time within the same hospital. UTILIZATION OF RESEARCH TECHNOLOGIES iv Table of
Modelling inbound international tourism demand in small Pacific Island countries

ABSTRACT In this study, we estimate inbound international tourism demand models at the individual source market-destination and overall destination levels for Fiji, Cook Islands, Tonga and Vanuatu from 2002Q1 to 2016Q2 and Samoa from 2002Q4 to 2015Q3. Tourism demand is measured by visitor arrivals, tourism prices, the source country’s real GDP, tourism prices in substitute destinations, seasonality and structural breaks, all of which are considered plausible determinants. The models are estimated using the ARDL-bounds approach, structural breaks are identified using the Bai and Perron break test, and seasonality is tested using the US Census Bureau’s X-13 ARIMA-SEATS methodology. The study is important because it presents new evidence on price, income, and substitute price sensitivity, word of mouth, seasonality, and structural-breaks effects in Pacific island destinations.