Miracle-dz/UniFAR-FTUs huggingface dataset:
Addressing Analysis and Partitioning Issues for the WATERS 2019 Challenge

The WATERS 2019 Challenge seeks to find suitable models and analysis techniques for providing safe bounds to the response times of next-generation applications for autonomousdriving systems. This paper highlights the challenges arising from the scheduling of such workloads onto heterogeneous platforms, proposing modeling solutions and time-aware partitioning techniques aimed at minimizing the end-to-end latencies of processing chains.
Measuring The Long-Term Regional Economic Impacts of High-Speed Rail in China Using a Dynamic SCGE Model 1

1 Although the term “High-Speed Rail” is adopted, the discussion de facto focuses more broadly on the Chinese rail infrastructure development in general due to the following concerns: First, the Chinese HSR development policy involves not only the midand long-term development for HSR, regular passenger rail and freight rail are also included. Hence, a broader focus on rail would be more appropriate to evaluate the effectiveness of the related infrastructure planning and policy. Second, an assessment with a focus only on the HSR systems is not feasible due to the lack of specific statistical information reflecting the true “HSR” investment strategies and operating performance. Another important consideration is that since many new developed HSR infrastructure facilities, such as stations, rail tracks are also utilized to serve regular passenger rail service, such a broader assessment of rail would be reasonable to achieve a more practical investigation.
DEVELOPING A CONCEPTUAL FRAMEWORK OF FRAGMENTATION IN CONSTRUCTION

Fragmentation is a well-known problem in construction and its influence on project performance and efficiency has been addressed by numerous studies. Despite of this recognition, there is still no precise definition of fragmentation in the literature. In this paper, we describe the development of a conceptual framework of fragmentation by identifying its underline construct and indicators. We argue that fragmentation involves two levels: fragmentation of construction industry and fragmentation of project. Both are related to team fragmentation, which can be measured by five constructs, namely: Level of Integration, Level of Coordination, Level of Collaboration, Project Boundaries and Spanning Knowledge, and Decoupling of Diversity. Each of these constructs can be determined by several measurement items, which are highlighted in this paper. Future study will test the framework empirically to determine the measurement constructs in the context of construction projects.
The Nexus Between Corporate Social Responsibility and Corporate Performance: An Empirical Evidence

Background: This study investigates the relationship between CSR (corporate social responsibility) practices and enterprise performance. We have collected the data from 248 different enterprises located in different industrial areas of Karachi, mainly including S.I. T.E industrial area, Federal-B industrial zone, and West Wharf industrial area, Karachi Export processing zone, Bin Qasim industrial zone, and Korangi industrial zone. Methods: The study mainly employed SEM (structural equation modeling) to test hypotheses in AMOS software. The practices of CSR were measured through ‘green design of products’, ‘ethical leadership’, ‘building school and hospital infrastructure’, and ‘environmental protection training'. Results: The findings revealed that ethical leadership is strongly and positively correlated with CSR practices, which confirmed that ethical leadership has strong potential to implement CSR practices inside and outside of the firms. The results further indicate that CSR practices enhance enterprise performance. Conclusions: This research provides insight into the relationship between CSR practices and enterprise performance. Further, this study will help senior managers, and practitioners to understand the significance of CSR practices.
To Die or to Leave : Demographic Responses to Famines in Rural Northeastern Japan , 1716-1870

This study examines demographic responses of men and wo men aged 10 to 74 to the two great famines (Tenmei in the 1780s and Tenpo in the 1830s) in rural northeastern Japan. Using the local population registers of two agra rian villages in 1716-1870, we examine in the multivariate context the effects of f amines on mortality and outmigration, treating them as simultaneous competing risks t hat individual men and women in the two villages faced, using the multinomia l logit model. The results show that the likelihoods of both dying and leavi ng rose significantly for both sexes during the acute and large-scale economic and e nvironmental upheaval caused by the Tenmei and Tenpo famines. Less sev ere local economic downturn also affected men, but not women, maki ng them more susceptible to die and less likely to leave the villages.
CFO Compensation : Evidence from Australia Paper Date : 29 November 2013

We investigate the extent to which the incentive alignment theory and the managerial power theory explain the variability of CFO compensation in Australia. We find a positive relationship between the level of CFO compensation and measures of job complexity and firm stock market performance. However, we do not find the pay-for-performance link when performance is measured at CFO-specific level. CFOs actually receive higher non-cash compensation when reporting quality is lower, suggesting a sharp contrast to predictions of the incentive alignment approach. Conversely, we find that CFOs have more managerial power (that is, if the CFO is on the board of directors, or has a higher level of stock ownership, or stays longer in their position, or the board is bigger in size) receive significantly larger compensation. Overall our evidence is more consistent with the argument that managerial power is the primary driver of CFO remuneration.
Learn languages with augmented reality

In recent years, mobile devices have become very popular within young people. Thanks to developments in mobile technologies, these devices can now do much more than just voice calls and texts. We envision mobile devices as tools for improving the young users' lifestyle, especially for learning. In this work we present a web authoring system that makes it possible to create a mobile application that supports children in learning a new language in a more pleasant and entertaining way by using Augmented Reality. This application allows pupils to improve their speaking skills turning the language acquisition into a game under the supervision of both teachers and parents. Our contribution is focused on understanding how digital technology can facilitate learning while keeping in mind that it is a wide and interdisciplinary issue. Keywords—Learning, Child, Augmented Reality, Voice, Language
Environmental economics approaches for the comparative evaluation of aquaculture and other food-producing sectors

With human population and per capita incomes increasing it seems inevitable that the demand for food will grow in the future. Meeting this increasing demand requires decisions about which food production systems to encourage over the alternatives. In this paper, I review the use of economic analysis in making comparative assessments of the social benefits and costs of food production systems, concentrating on aquaculture and comparable intensive terrestrial systems. After setting out the basic approach used in cost-benefit analysis, I examine specific issues arising in applying this method to the comparative analysis of food production systems. These include the relative importance of private versus external costs, depletion of natural capital, and different perspectives in capturing the full social costs of production. Subsequently, I present several case studies to illustrate the approach. This is followed with a discussion of the strengths and limitations of the economic analysis approach, particularly in light of competing approaches for such assessments. Finally, the paper concludes with a summary of the findings and identification of key gaps in our knowledge that should be the subject of
Multimodal Feedbackin HCI : Haptics , Non-Speech Audio , and Their Applications

Computer interfaces traditionally depend on visual feedback to provide information to users, with large, high-resolution screens the norm. Other sensory modalities, such as haptics and audio, have great potential to enrich the interaction between user and device to enable new types of interaction for new user groups in new contexts. This chapter provides an overview of research in the use of these non-visual modalities for interaction, showing how new output modalities can be used in the user interface to different devices. Themodalities that will be discussed include:
TITLE How the Collapsing of Categories Impacts the Item Information Function in Polytomous Item Response Theory

The purpose of this Item Response Theory study was to investigate how the expected reduction in item information, due to the collapsing of response categories in performance assessment data, was affected by varying testing conditions: item difficulty, item discrimination, inter-rater reliability, and direction of collapsing. The investigation used copulas in computer simulations of performance assessment batteries with varying combinations of item characteristics within Muraki's 3enera1ized Partial Credit Model. Only two of the significant contrasts that were detected were of practical importance. The results appear to indicate that the expected reduction in information due to the collapsing of categories is not affected by any of the testing conditions simulated in this study. Consequently, a practitioner may combine low-frequency categories with adjacent categories without any significant adverse effect on the information provided by the test items. (Contains 1 figure, 9 tables, and 19 references.) (Author) *********************************************************************** Reproductions supplied by EDRS are the best that can be made * from the original document. ***********************************************************************
Diversifying Search Result Leveraging Aspect-based Query Expansion

Web search queries are short, ambiguous and tend to have multiple underlying interpretations. To re-formulate such queries, query expansion is a prominent method that leads to retrieve a set of relevant documents. In this paper, we propose an aspect-based query expansion technique for diversiﬁed document retrieval. At ﬁrst, query suggestions and completions are retrieved from major commercial search engines. A frequent phrase-based soft clustering algorithm is then applied to group similar retrieved candidates into clusters. Each cluster represents different query aspect. The expansion terms are selected from the generated cluster labels for each cluster. To estimate the relevancy between the expanded query and the documents, multiple new lexical and semantic features are introduced us-ing the content information, and word-embedding model, respectively. Finally, a linear ranking approach is employed to re-rank the documents retrieved for the original query using the extracted features. We conduct experiments on Clueweb09 document collection using TREC 2012 Web Track queries. The experimental results clearly demonstrate that our proposed aspect-based query expansion method is effective to diversify the retrieved documents and outperformed baseline and some known related methods in terms of diversity metrics ERR-IA, α -nDCG and NRBP at the cut of 20.
Endogenous prices in mathematical programming models for agricultural policy analysis

This paper proposes a price endogenous model based upon positive mathematical programming methodology for policy and market evaluations. The model is developed preserving the competitive character of farm decisions and considering the agg regate supply response on market prices. The method of aggregation allows one to use the tool fo r policy evaluation at the sectoral or regional level using individual farm data. The process of si mulation adopts the positive mathematical programming calibration property for evaluating far m behaviour dynamics and the estimation of the inverse demand and supply functions for generating e dogenous prices relayed on the aggregated individual supply decisions.
Parametric Feature Selection for an Enhanced Random Linear Oracle Ensemble Method

Random Linear Oracle (RLO) utilized classifier fusion-selection approach by replacing each classifier with two mini-ensembles separated by an oracle. This research investigates the effect of t-test feature selection toward classification performance of RLO ensemble method. Naive Bayes (NB) classifier has been chosen as the base classifier due to its elegant simplicity and computationally inexpensive. Experiments were carried out using 30 data sets from UCI Machine Learning Repository. The results showed that RLO ensemble could greatly improve the ability of NB classifier in dealing with more data with different properties. Moreover, RLO ensemble receives benefits from feature selection algorithm, with a properly selected number of features from ttest, the performance of ensemble can be improved.
Extracting Data fromDisparate Sources for Agent-Based Disease

This paper presents a review and evaluation of real data sources relative to their role and applicability in an agent-based model (ABM) simulating respiratory infection spread a large geographic area. The ABM is a spatial-temporal model inclusive of behavior and interaction patterns between individual agents. The agent behaviours in the model (movements and interactions) are fed by census/demographic data, integrated with real data from a telecommunication service provider (cellular records), traffic survey data, as well as person-person contact data obtained via a custom 3G smartphone application that logs Bluetooth connectivity between devices. Each source provides data of varying type and granularity, thereby enhancing the robustness of the model. The work demonstrates opportunities in data mining and fusion and the role of data in calibrating and validating ABMs. The data become real-world inputs into susceptible-exposed-infected-recovered (SEIR) disease spread models and their variants, thereby building credible and nonintrusive models to qualitatively model public health interventions at the population level.
47-Nutritional Status and Food Behavior among Primary School Students in Duhok City سرادملا بلاطل يئاذغلا كولسلا و ةيوذغتلا ةلاحلاةيساسلأا كوهد ةنيدم يف

Background: The assessment of nutritional status as a part of school health component, can serve as a screening tool to identify children who need nutritional intervention and to prevent further deterioration in their nutritional status with reducing the risk of poor school performance. Objective: Evaluate the primary school students' nutritional status in Duhok City and find out the relationship between students' nutritional status with their food behavior. Methodology: A cross sectional study was conducted throughout the period 25th November 2014 to 25th November2015. Cluster stratified simple random sampling of (700) primary school students who aged 612 years were selected from 41 primary schools in Duhok city. Food behavior and sociodemographic data were obtained by direct interview. In addition, height and weight measured in order to calculate body mass index of primary school age children. A questionnaire was modified as a tool of data collection and utilized the height and weight scales for measuring student`s height and weight for the purpose of the present study. Data were analyzed through the use of descriptive and inferential statistical analysis approaches. Results: the present study showed highest percent (57.1%) of primary school student's nutritional status was healthy weight and more than two third of them were at somewhat healthy food behavior (71.3%). In addition to highly significant relationship between such nutritional status of primary school students and their food behavior with P. value (0.001). Conclusion: The present study revealed that the primary school students' nutritional status is influenced by their food behavior. Recommendations: The researchers recommended that schools of Duhok City, health care system and parent should involve in establishing nutritional educational program steps, guidelines, inclusion of health related nutritional topics in school curriculum with yearly screening children including: checking height, weight and BMI according to age.
Extraction Engine Workflow Composition Tool Domain ontology Semantic Analyser Workflow repository Suggestion Building Engine Workflow to Graph Conversion Component Generalisation Workflows

Recommender systems are used to enable decisionsupport. Using them to assist users when designing scientific workflows introduces a number of challenges. These include selecting appropriate components and specifying correct parameter values. Pattern-based workflow recommender systems employ historical usage patterns to generate recommendations. Such systems can intelligently adapt with use. Semantics, on the other hand, can enable recommender systems to intelligently infer new relationships between workflow components. Combining both approaches can help to overcome the drawbacks of each approach and improve the accuracy of the suggestions. To this end, a framework for a hybrid workflow design recommender system is presented in this paper along with the accompanying suggestion generation algorithm. An illustrative example is also presented to demonstrate how the system helps in constructing a workflow. The performance of the framework is compared with an existing pattern-based system using a dataset of neuroimaging workflows. The evaluation results demonstrate that the proposed system outperforms the existing system in a number of different scenarios. The improvement in the performance of the proposed system enhances the usability of the system for users and allows them to more efficiently construct workflows. Keywords—workflow design; recommender systems; workflow execution systems; ontologies
Computational Approaches to the Production of Referring Expressions : Dialog Changes ( Almost ) Everything

The referring expression production task is currently a growing area of research in computational linguistics. Many computational approaches to this task are motivated by psycholinguistic research. However, most of these approaches model only the speaker, not the hearer or the collaborative nature of reference in dialog. In this talk we present an argument for computational research on the production of referring expressions in dialog that is motivated by psycholinguistic findings. First, we survey computational research on the production of referring expressions. Then we present several dialog-related phenomena that affect referring expression production. We sketch a data-driven computational model for coreference in dialog that covers comprehension and production of referring expressions and can be used to examine these dialog-related phenomena. We conclude by presenting some other ideas for research on the production of referring expression in dialog.
From Scepticism to Anti-Realism, Tersman

A common anti-realist strategy is to argue that moral realism (or at least the non-naturalist form of it) should be abandoned because it cannot adequately make room for moral knowledge and justified moral belief, for example in view of an evolutionary account of the origins of moral beliefs or of the existence of radical moral disagreement. Why is that (alleged) fact supposed to undermine realism? I examine and discuss three possible answers to this question. According to the answer that I think holds most promise, it undermines realism because it renders realism “epistemically incoherent” (in a sense explicated in the paper), and a central aim of the paper is to elaborate and defend that suggestion against certain objections. I end by briefly commenting on the more general significance of the discussion, by considering some other areas (epistemology and vagueness) where similar questions might be raised.
Large-Sample Case Studies : The Best of Both Worlds

A rationale is presented for the use of many cases in policy analysis. Case study families were selected from nomination by early intervention professionals in three states with differing early intervention policies and procedures. Using rating scales, demographic data, and interview transcripts with 72 families of children receiving services, 7 sets of results were found: (1) families reacted positively to services; (2) families had problems with service transitions; (3) numerous service settings were used; (4) the focus of service was primarily on children's needs; (5) control over services varied by demographic variables; (6) psychological well-being was affected by income and race; and (7) perceptions of support differed by demographic variables. The benefits to answering research questions through the use of large-sample case studies and the challenges to implementation are discussed. The combination of quantitative and qualitative methods and data revealed the complexity of interactions among children, parents, professionals, and community systems. Conclusions note implications for policy and practice. (Contains 1 figure and 19 references.) (SLD) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** Large-Sample Case Studies: The Best of Both Worlds R. A. Mc William, Lynn Tocci, Gloria L. Harbin, & John Sideris Frank Porter Graham Child Deyelopment Center University of North Carolina at Chapel Hill' U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 1/1his document has been reproduced as received from the person or organization originating it. Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY /L TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This study is funded by an Early Childhood Research Institute grant (No. H024T20002) from the U.S. Department of Education, Office of Special Education and Rehabilitative Services. The opinions expressed in this paper are those of the authors and no endorsement from the funding agency should be inferred. We acknowledge the contributions to this study of our collaborators, Drs. Jim Gallagher, Tom Kochanek, and Robin Rooney, and the many staff members and students who have made their contributions. We are grateful to the early intervention professionals and families who have provided data and given generously of their time. Address correspondence to R. A. McWilliam, Frank Porter Graham Child Development Center, CB# 8180, University of North Carolina, Chapel Hill, North Carolina, 27599-8180. Email: Robin_McWilliam@unc.edu. 2 BEST COPY AVAILABLE