Miracle-dz/UniFAR-FTUs huggingface dataset:
Why People Are Not Willing to Let Their Children Ride in Driverless School Buses: A Gender and Nationality Comparison

As driverless vehicles proliferate, it is possible that this technology will be applied in mass transport vehicles. School buses may be suited for autonomous operations as they follow set routes and schedules. However, a research gap exists in whether or not parents would be willing to have their children ride in autonomously operated school buses. The purpose of this study was to examine parents’ willingness to allow their child to ride in an autonomous school bus. Participant gender and nationality were also two independent variables, along with affect measures as a possible mediating variable. The research used a two-study approach. In study one, it was found that participants were less willing to have their child ride in a driverless school bus than a traditional human-operated vehicle. In study two, findings suggest a significant interaction between the type of driver, participant gender, and nationality. In general, American females were less willing than Indian females and overall, Americans were less willing than Indians in the driverless conditions. Affect was found to be a mediating variable, which suggests that emotions were playing a role in the responses of participants. The paper concludes with theoretical contributions, practical applications, and suggestions for future research.
Life with Limited Privacy due to Housing Challenges: Impact on Children’s Psychological Functioning

This study investigated the influence of limited living space and privacy on children’s psychological functioning. The study invited 240 participants, of which 120 children were in the experimental group and 120 in the comparison group. The participants in the experimental group were recruited from communities facing living space and personal privacy challenges, while the participants in the comparison group came from privileged communities with relatively adequate living space. The children’s psychological functioning dimensions measured were anxiety, depression, conduct disorder, addictive and risk behaviours, delay of gratification, sexual risk behaviours, and perceptions of social support. The results showed that the two groups differed significantly in levels of anxiety, depression, conduct disorder, and addictive and risk behaviours. The findings of the study indicate the need to offer psychological support to children facing living space and privacy challenges. Implications for further studies in the area of housing and psychological wellbeing are discussed.
Model of Financial Development: A cluster analysis

This article is a contribution to the analysis of financial development diversity in developing countries and lies within model of capitalism’s framework. By taking into account the degree of control of banking system and securities markets, our empirical analysis produces a three-group typology identifying an embryonic financial system, an intermediate financial system bank oriented and a financial system in maturity. Moreover, this typology cannot support the hypothesis of a model specific to emerging countries but a model for LDC countries and a model for developed countries.
Simulation of 2D Saint-Venant equations in open channel by using MATLAB

2D surface flow models are useful to understand and predict the flow through breach, over a dyke or over the floodplains. This paper is aimed at the surface flows to study the behavior of flood waves. The open channel water flow in drains and rivers is considered in view of the fact that such flows are the source of flash flood. In order to predict and simulate the flood behavior, a mathematical model with the initial and boundary conditions is established using 2D Saint-Venant partial differential equations. Next, the corresponding model is discretized by using the explicit finite difference method and implemented on MATLAB. For the testing and implementation purpose a simple rectangular flow channel is considered. The output parameters like height or depth of water z (m), the fluid velocity u (m/s) and the volumetric flow rate Q (m3/sec) are simulated numerically and visualized for the different time steps. The initial simulation results are useful to understand and predict the flood behavior at different locations of flow channel at specific time steps and can be helpful in early flood warning systems. It is also suggested that the coupling of the subsurface flow with the surface flow may provide even better approximations for the flood circulation.
Causes of Cost Overrun In Construction

The Indian construction industry is an integral part of country’s economy and its growth and a conduit for a substantial part of India’s development investment. The industry plays a pivotal role in developing the country’s infrastructure, a pre-requisite for high levels of economic growth. Most construction projects experience cost overrun and it put massive financial burden on the client or owner. Therefore this research was carried out to identify the causes leading to cost overrun in construction projects. Desk study along with questionnaire survey was used to identify the causes of cost overrun. A total of 30 filled questionnaires were collected from clients, consultants and contractors. The respondents were asked to rate the listed causes on the basis of probability of occurrence and severity of impact. Importance of each cause was calculated on the basis of cumulative effect of occurrence and impact. Spearman rank order correlation analysis was used to evaluate whether consensus of opinions exists between groups of respondents (client versus consultant, client versus contractor and consultant versus contractor). From the analysis of the results it was found that consensus of opinion exists between respondents on the causes of cost overrun. The results showed that, slow decision making, poor schedule management, increase in material/machine prices, poor contract management, poor design/ delay in providing design, rework due to wrong work, problems in land acquisition, wrong estimation/ estimation method, and long period between design and time of bidding/tendering are the major causes of cost overrun. The major causes as identified by this research were compared with the findings from other countries and there were fairly relevant similarities.
Cluster Analysis of 12 Chinese Native Chicken Populations Using Microsatellite Markers

The genomes of Chinese native chicken populations were screened using microsatellites as molecular markers. A total of, 528 individuals comprisede12 Chinese native chicken populations were typed for 7 microsatellite markers covering 5 linkage groups and genetic variations and genetic distances were also determined. In the 7 microsatellite loci, the number of alleles ranged from 2 to 7 per locus and the mean number of alleles was 4.6 per locus. By using fuzzy cluster, 12 Chinese native chicken populations were divided into three clusters. The first cluster comprised Taihe Silkies, Henan Game Chicken, Langshan Chicken, Dagu Chicken, Xiaoshan Chicken, Beijing Fatty Chicken and Luyuan Chicken. The second cluster included Chahua Chicken, Tibetan Chicken, Xianju Chicken and Baier Chicken. Gushi Chicken formed a separate cluster and demonstrated a long distance when comparing with other chicken populations. (Asian-Aust. J. Anim. Sci. 2004. Vol 17, No. 8 : 1047-1052)
Depletion/enhancement CMOS for a lower power family of three-valued logic circuits

A new family of ternary logic circuits that uses both depletion and enhancement types of complementary metal-oxide semiconductor (CMOS) transistors is presented. These circuits use two power supplies, each below the transistor's threshold voltages, and do not include resistors. Circuit designs of basic ternary operators (inverters, NAND, NOR) are described. These basic ternary operators can be used as building blocks in the VLSI implementation of three-valued digital systems. An example of the design of a ternary full adder using this family of logic circuits is also presented.
Spatially dependent parton distribution functions and hard processes in nuclear collisions

This work focuses on applications of perturbative QCD (pQCD) and collinear factorization theorem to hard particle production in nuclear and hadronic collisions at the BNL-RHIC and CERN-LHC colliders. The emphasis is on nuclear parton distribution functions (nPDFs) and their spatial dependence. Also parton-to-hadron fragmentation functions (FFs) are studied. A brief overview of the applied theoretical and numerical tools is given in the introductory part.
Community and union-led Living Wage campaigns

Purpose The purpose of this paper is to demonstrate different approaches to effective campaigning in support of the Living Wage and so this paper contributes to the broader debate over the nature of the union movement’s engagement with community groups in pursuit of workplace and social issues. Design/methodology/approach The paper presents a systematic comparison of a union-led and a community-led campaign, drawing primarily upon interview and survey data. Findings Though different, both campaigns met with a measure of success in improving employee pay and in increasing union membership suggesting a pragmatic approach to the building of union-community relationships. Practical implications The paper shows the need for campaigners to adopt a strategic approach in identifying the target for their campaign, and also the importance of shaping a persuasive argument. Originality/value The paper reaffirms the importance of traditional union-led campaigning alongside campaigning through engagement with community groups and so offers a broader framework for exploring the relationships between union and community groups.
moving back into the constriction region of the filament at hig

© 2018 IEEE. Personal use of this material is permi tted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisi ng or promotional purposes, creating new collective works, for resale or distri but on top servers or lists or reuse of any copyrighted component in other works. Abstract— Despite the tremendous efforts in the past decade devoted to the development of filamentary resistive -switching devices (RRAM), there is still a lack of in-depth u nderstanding of its over-reset phenomenon. At higher reset stop vol tages that exceed a certain threshold, the resistance at high resistance state reduces, leading to an irrecoverable window r eduction. The over-reset phenomenon limits the maximum resistance window that can be achieved by using a higher Vreset, which also degrades its potential in applications such as mult i-level memory and neuromorphic synapses. In this work, the over-r eset is investigated by cyclic reset operations with increm ental stop voltages, and is explained by defect generation in the filament constriction region of Ta 2O5 RRAM devices. This is supported by the statistical spatial defects profile obtained fr om the random telegraph noise based defect probing technique. The impact of forming compliance current on the over-reset is als o evaluated.
Factors Influencing the Success of Platform Centric Ecosystem Strategies: A Case Study of Google Android

The past decade has evidenced a rapid growth in the usage of mobile phones around the world. The increase in mobile phone usage has led to the emergence of new mobile phone software platforms that rely on third party developers and partners for their growth. One such mobile platform that is growing rapidly is Google's Android operating system. The purpose of this paper is to propose a framework for analyzing the success factors of mobile platform centric ecosystems strategy through a case study of the Android platform.
Chapter 5 Space Charge – Limited Current Model for Polymers

7 Polymers have exceptional charge transport mechanism as a combination of delocali‐ 8 zation and localization of charge carriers with intramolecular and intermolecular charge 9 interaction, respectively, and most of the time, it is interpreted with Mott‐Gurney space 10 charge–limited current model. As polymers are full of traps, therefore, Mott‐Gurney 11 space charge–limited model is modified with various trap distributions as trapped space 12 charge–limited model. The most crucial parameter affected by the nature and distribu‐ 13 tion of traps is the carrier mobility, and it is argued that space charge–limited model is 14 an acceptable choice for the mobility measurement for polymer. Similarly, in order to 15 account the commonly observed lowering of trap barrier height at higher electric field, 16 the Mott‐Gurney space charge–limited current is further modified with little variations, 17 which are evaluated and discussed in detail. 18
Artifactual Evidence of Discrimination in Correspondence Studies? A Replication of the Neumark Method

The advocates of correspondence testing (CT) argue that it provide the most clear and convincing evidence of discrimination. The common view is that the standard CT can identify what is typically defined as discrimination in a legal sense – what we label total discrimination in the current study –, although it cannot separate between preferences and statistical discrimination. However, Heckman and Siegelman (1993) convincingly show that audit and correspondence studies can obtain biased estimates of total discrimination – in any direction – if employers evaluate applications according to some threshold level of productivity. This issue has essentially been ignored in the empirical literature on CT experiments until the appearance of the methodology proposed by Neumark (2012). He shows that with the right data and an identifying assumption, with testable predictions, this method can identify total discrimination. In the current paper we use this new method to reexamine a number of already published correspondence studies to investigate if their estimate of total discrimination is affected by group differences in variances of unobservable characteristics. We also aim at improving the general understanding of to what extent the standardization level of job applications is an issue in empirical work. We find that the standardization level of the job applications being set by the experimenter appear to be a general issue in correspondence studies which must be taken seriously.
Relationship to the River: The Case of the Rural Communities Residing Beside the Tembeling, Pahang and Muar Rivers

The present study attempts to identify the views of the rural community living near to Tembeling-Pahang-Muar river, regarding their relationship with the river. This study is qualitative in nature: a total of three focus group discussions were conducted among selected villagers from Kuala Tembeling, Kuala Tahan and Kundang Hulu villages. Four themes emerged from the analysis, namely sources of income, mode of transportation, less appreciation among the younger generation for the river, and the need for river development. Through the identification of this data, it is a hope that a broader understanding of the relationship between the local community and the river could facilitate river development programmes and strategies.
Protein structure and dynamics

Proteins are essential components of biological processes, this explains why understanding their structure, function and dynamics is so important. In the following, we give an overview on various methods for the determination of three-dimensional structure and dynamics of proteins. We discuss the most important experimental methods, X-ray diffraction and NMR spectroscopy, as well as computer modelling techniques and their application to the construction of graphics models, which can be inspected visually. We also treat prediction as well as molecular graphics representation of protein structures. We devote special attention to dynamics, where time scales of protein movement, structures and interactions are discussed. We wish to demonstrate that protein structure determination and computer representation is now at a very high degree of sophistication and reliability.
A Semantic Model for Concept BasedClustering

Text mining is the data extraction from textual databases or documents. Each word in the document is a dimension giving a structure to the data and reducing the dimensions. In text mining techniques the basic measures like term frequency of a term is computed to work out the weight of the term in the document. Although with the statistical analysis, the original meaning of the term may not take the precise meaning of the term. The proposed system relies on concept based model. In this concept based approach, the concepts are extracted from the documents, and a semantic based weight is computed for effective indexing and clustering. It uses MeSH ontology for concept extraction and concept weight calculation based on the identity and synonymy relations. K-means algorithm is used for clustering the documents depending on the semantic similarity. Experiments are conducted and the results are analyzed.
Measuring human performance of Malaysian train drivers: developing model using Pls approach

The purpose of this paper is to address the assessment of validity and reliability of measured items used in survey research of train driver performance. This paper is a continuation from the first part of the research, which identified number of factors to be used on measuring human performance of train drivers and measured the impact of occupational stress and job satisfaction on train driver performance. The structural equation modelling (SEM) techniques and Partial Least Square (PLS) were adopted to assess the goodness of measures of constructs used in the model to examine the performance of the Malaysian train drivers. The measurement process involved assessment of construct validity of the items and followed by convergent validity. Then, the composite reliability was assessed with internal consistency measure of Cronbach’s alpha and discriminant validity was tested to assess the validity of the measurement. Statistical results confirmed that occupational stress was an influential factor of performance; however, job satisfaction did not affect the performance of the train driver. The findings of this research are useful for policy makers, train operating company (TOC), and practitioners to improve human performance and safety of railway system.
Vietnam : Water Policy Dynamics Under a Post Cold War Communism

Vietnam is widely seen as a development success, with rather rapid economic growth and a reported reduced role of the state, yet presents many paradoxes to conventional analytical frameworks. Two of relevance are accounts that stress a combination of a strongly hegemonic regime with weak internal sovereignty in terms of both the internal coherence of the apparat and its interactions with the rest of Vietnamese society, and also associated accounts that deny much role to intentionality in explaining apparent development success. This article will contextualise accounts of political intention and policy development towards water issues in Vietnam through an examination of two main empirics: the evolution of formal policy, understood as documents of the state, as well as of political intention, understood as documents of the ruling Party; and the by now extensive series of 'active' case studies that have examined donor as well as other projects in the sector. It will examine the notion, in the contexts suggested by the Vietnamese experience, that attempts to explain Vietnamese water policy, which have shown a tendency to shift away from assumptions that an analytical framework’s categories may easily and without too much risk be extended across different contexts. Rather, comparisons of Vietnamese experience across contexts will tend, if they are to be persuasive, to shift to the use of languages that reflect ontological fluidity, in that what things mean is expected to change over time, without reference to an imagined transcendental and universal 'real'. In this sense, Vietnamese water policy may be usefully understood as an example of how 'success gives voice to the local'.
Robust adaptive neural backstepping control for a class of nonlinear systems with dynamic uncertainties

This paper is concerned with adaptive neural control of nonlinear strict-feedback systems with nonlinear uncertainties, unmodeled dynamics, and dynamic disturbances. To overcome the difficulty from the unmodeled dynamics, a dynamic signal is introduced. Radical basis function (RBF) neural networks are employed to model the packaged unknown nonlinearities, and then an adaptive neural control approach is developed by using backstepping technique. The proposed controller guarantees semiglobal boundedness of all the signals in the closed-loop systems. A simulation example is given to show the effectiveness of the presented control scheme.
The Impact of Audit Quality Features on Enhancing Earnings Quality: The Evidence of Listed Manufacturing Firms at Amman Stock Exchange

The study aims at investigating the impact of external audit quality features on enhancing the quality of accounting profits of the listed manufacturing firms at Amman Stock Exchange (ASE), where continuity of profit has been used as Proxy variable to express the quality of earnings. Indicators of quality of audit, audit office size, auditors' fees, period of customer's retention, type of auditor's opinion, and the specialization in client's industry, were used to measure audit quality. A sample of 45 firms had been selected, and data covering the period 2009-2013 had been collected from these firms, where 225 observations were used in the analysis. The study finds that the earnings of listed manufacturing firms at Amman Stock Exchange are with good quality, and that there is a linear relationship between external audit quality and the quality of reported earnings. Auditors' fees have most important significant effect on earnings quality, followed by auditors' opinion, where others factors has no significant effect on earnings quality. Based on these findings, the study raises several questions about the reliability of audit quality properties by stakeholders in firms, especially investors, when they check the quality of earnings, whenever they need to take a decision. The study recommends further researches regarding the issue by using other metrics to measure earnings quality, and through the addition of other properties to the quality of the audit, such as linked audit offices with auditing global offices, degree of qualification employees, and the opened lawsuits against audit office.