Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the Performance of Precise Query Processing on Large-scale Nested Data with UniHash Index

Querying nested data has become one of the most pivotal issues for seeking desired information on the Web. Unlike the traditional information retrieval, to effectively manage nested data, we generally need store the data and its structures separately, which significantly reduces the performance of data retrieving, especially when the dataset is in a large scale. More seriously, it brings a big challenge on ensuring the efficiency of processing precise queries that need to locate the exact positions of some certain values in a nested dataset. Combining the techniques of column-strip storage and inverted index, this paper defines an expression to represent the data objects’ unique location in nested records— UPath, and based on which we present a new index structure— UniHash to support precise query processing on nested datasets. In addition, this work develops the related algorithms for building UPath, establishing UniHash, performing precise queries on UniHash with MapReduce platform and maintaining UniHash as well. Compared with some existing approaches, such as XPath-based and Dremel, UniHash index is capable of supporting the execution of precise queries over nested dataset with better performance. We give the results of a group of experiments, which were conducted on different real datasets, to demonstrate the efficiency of the approach.
Students' Attitudes Towards the Use of L1 in EFL Classrooms: A Case Study at an English Language School in Iran

Using L1 in English classes has always been the focus of a large number of researchers in the field of TEFL. However, no consensus has been seen among the authorities on using L1 in English classes. Therefore, this area is quite challenging and little research has been conducted so far in Iran, the present research seeks to find out the learners’ attitudes towards learners’ and teachers’ using L1 in English classes. Fifty language learners at elementary, intermediate and advanced levels in Gooyesh Language Institute, Aliabad Katoul, Golestan province, Iran, were selected as the participants. The participants were studying English at these levels at the institute. The sampling is stratified random because proficiency (three levels of elementary, intermediate, advanced) is a parameter of the population which is important from the point of research. The participants of the sample are male and female and fall into the range of 15-35 years age. The instrument used in the current study is a questionnaire that was used to find out learner’s attitude towards using L1 in EFL classes. The participants are given the questionnaire Learners’ Attitude towards Using L1 Questionnaire (LAULQ) which had been developed by the researcher to measure learner’s attitude toward their own using L1 and their teacher’s using L1. They were asked to answer the questionnaire and were informed about the aim of the research. To analyze questionnaire data, each item was discussed separately, and the frequency and percentage of each were reported. The results showed that learners use L1 to ask new points, to find correct English words and to explain grammar points for their classmates. In addition, from students' point of view, teachers use L1 to make students understand hard words or grammar, to translate difficult English words and to control the class. In addition, the findings showed that there is a negative relationship between learners’ proficiency level and their attitude toward using L1. The findings have some implications for teachers, material developers and English institutes policy makers.
Knowledge management in family businesses - Empirical evidence from Germany

ABSTRACT The aim of this study is to survey the knowledge management tools and processes of family businesses. It compares theoretical models and their recommendations with the knowledge managements systems as established in German family firms. The focus of the empirical study is on the barriers and enablers of knowledge management as well as the moderating role of “familyness“. The findings show that many family firms do not use their full potential when it comes to the management of their collective knowledge base. Some aspects of their familyness influence the way in which they acquire, use und produce new knowledge positively. However, decision-makers inside the company are frequently not aware of this advantage. Especially the CEOs of small and middle-sized family businesses who are family members often lack a clear knowledge management strategy and do too little to improve knowledge processes in their companies. The findings reveal that bigger family firms manage their knowledge base much better than small and medium-sized ones.
Intent Inference and Strategic Path Prediction

In today’s air traffic management system, the intent of an aircraft is revealed in its flight plan and a pilot’s adherence to published navigation routes. In a future Free Flight environment, aircraft may be allowed to fly any route they choose. Intent will likely be broadcast in the form of Trajectory Change Points (TCPs), for instance, up to four TCPs in an Automatic Dependent Surveillance – Broadcast (ADS-B) message. However, if TCPs do not accurately represent intent, do not exist or do not get received, then a nearby aircraft or ground monitoring system has a need to infer the pilot’s intent. In this paper, a method of inferring intent is investigated which is based on artificial intelligence models and a process for best fitting an intent model to observed aircraft motion. Horizontal, vertical, and speed dimensions are first investigated independently, and then combined, including sequences of actions, to fully explain the 3-dimensional guidance and navigation plan of an aircraft. Finally, the inferred intent is used as a basis to predict a path from the current location of the aircraft into the future.
Worker's life conditions in the teaching profession: Association between lifestyle and quality of life at work among physical education teachers

The aim of this study was to identify the degree of correlation between quality of life at work (QVT) and personal lifestyle (EV) among physical education teachers. The sample, 1645 teachers, was selected in three phases. The first phase divided southern Brazil into federal states. The second subdivided each state into mesoregions and the third considered individual regional teaching centers. Data collection used questionnaires to evaluate QVT and EV. The single group Chi-square Test was used to establish discrepancies of opinion and behavior and the Spearman Test to evaluate correlations between the investigated variables, with a significance level of 5%. The results showed that the teachers are unsatisfied with salaries, working conditions, social integration and available leisure time; also revealed poor diet and stress control and limited personal physical activity. Evidence to support an association between specific concerns and socio-environmental position was insufficient to establish correlations between QVT and EV.
Using social web tools for knowledge construction

This paper examines knowledge construction in a distributed learning environment supported by social web tools. Research data was gathered from online asynchronous discussions in a first-year masters degree course in multimedia in education. Our analysis was modelled on Gunawardena et al.'s (1997) study and results indicate that, despite a significant percentage in the phase of sharing and comparing information, interaction at the highest levels of knowledge construction is relevant and suggests that knowledge was constructed.
Developing and Evaluating ECM Data Persistence Architecture

A conceptual data persistence architecture and methodology to evaluate its performance is created. Results of the empirical research indicate that the architecture created is convenient for high intensity processing of large ECM data volumes. The synthesis of SQL and NoSQL technology allows to handle high volume transactions on current data and full-text search on large sets of history data. The history data is moved from SQL to NoSQL data store thus allowing to use a cluster of commodity hardware to store major volume of ECM data. Scaling out (increasing a number of cluster nodes) is less expensive than scaling up (buying a more powerful server hardware) that is normally needed to upgrade SQL database.
Two-dimensional reliability modeling from warranty data

The failures of some systems depend on age and amount of accumulated usage. A common example of such systems is the automobile; the life of which is measured by both time in service and mileage. Warranty claims of the systems contain a large amount of information about reliability, such as failure times, usages and failure modes. Using warranty data to model reliability as a function of time and usage provides a more accurate and realistic estimator.This paper describes warranty data structure and censoring mechanism. A sequential regression method is proposed to model mileage accumulation from warranty claim data. The model and mileage failure data are used to evaluate the patterns of failure occurrences at different mileages. The paper then establishes the relationship between reliability and time in service and mileage. The unknown parameters are estimated by maximum likelihood method with time and mileage censoring. The reliability model is used to predict the number of warranty claims, and the number of failed vehicles which do not generate warranty claims due to mileage exceeding warranty limit. In the paper, an example is presented. The example shows that the predicted number of warranty claims has a good agreement with the actual number of claims.
Examining the Ricardian Equivalence Hypothesis in Nigeria using an ARDL bound testing approach

This study examined the Ricardian equivalence hypothesis (REH) in Nigerian using data for the periods of 1986 to 2015. The study employed a bound testing approach to cointegration and error correction model within the context of the Auto-Regressive-Distributed-Lag (ARDL) framework developed by Pesaran and Shin (1995, 1999). The study examined whether a long-run equilibrium relationship exists between Private Consumption and Gross Domestic Product (GDP), Government expenditure, Tax Revenue, Total Public Debt and Interest Payments. The results show that there is long run association running from Gross Domestic Product (GDP), Government Expenditure, Tax Revenue, Total Public Debt and Interest Payments to Private Consumption. More importantly, the study found strong evidence against the Ricardian Equivalence in Nigeria and support for Keynesian debt non-neutrality. The findings therefore imply that fiscal policy has a role in macroeconomic stabilization in Nigeria.
Organizing a special-purpose computer to realize digital filters for sampled-data systems

A special-purpose computer is organized to implement a programmable digital filter intended for use in sampled-data control systems. A canonical representation for the digital filter is selected and this form is implemented in functional blocks that are suitable for circuit integration. An analytical technique is discussed that helps determine acceptable quantization resolutions and round-off errors in the digital filter. Experimentation with the digital filter is performed in the pendulous integrating gyroscopic accelerometer control loop and in an analog computer simulation of the Saturn V thrust vector control system; the filter used as a digital compensator successfully stabilizes both sampled-data control systems. The performance of the digital filter is examined and organizational techniques to improve its characteristics are proposed.
Electromagnetic Interactions GEneRalized (EIGER): Algorithm abstraction and HPC implementation

Modern software development methods combined with key generalizations of standard computational algorithms enable the development of a new class of electromagnetic modeling tools. This paper describes current and anticipated capabilities of a frequency domain modeling code, EIGER, which has an extremely wide range of applicability. In addition, software implementation methods and high performance computing issues are discussed.
Analisa Keamanan Web Server terhadap Serangan Possibility Sql Injection Studi Kasus: Web Server Umk

Keamanan merupakan salah satu faktor penting yang harus diperhatikan dalam membangun sebuah website. Hal tersebut menjadi sebuah tantangan tersendiri bagi para pengembang website, karena tidak ada jaminan yang pasti akan defenisi aman itu sendiri. tidak ada sistem yang benar-benar aman, bukanlah sebuah pernyataan semata, namun telah dirasakan dalam realitas. Website Universitas Muria Kudus yang berada di web server merupakan website yang digunakan sebagai media dan sarana informasi komunikasi kampus. Mengingat website ini dapat diakses secara luas, maka dinilai perlu memperhatikan keamanan website dalam berhubungan dengan lingkungan luar. Terdapat beberapa cara yang dapat digunakan untuk melakukan pengujian terhadap kemanan web server. Salah satunya adalah dengan melakukan SQL injection. SQL injection adalah kerentanan yang terjadi ketika penyerang memiliki kemampuan untuk mempengaruhi Structured Query Language (SQL) query yang melewati suatu aplikasi ke-database back-end. Penelitian ini menerapkan aturan possibility injection pada tools yang dipasang di Web Server Universitas Muria Kudus menggunakan intruder detection system (IDS) Snort sebagai identifikasinya terhadap serangan yang masuk. Hasil penelitian ini berupa alert sebagai alternatif peringatan keamanan dari serangan (intruder) yang masuk ke jaringan.
Cross-border cooperation in the EU: Euroregions amid multilevel governance and re-territorialization

ABSTRACT Today, cross-border cooperation promoted by Euroregions all over the European Union is a consolidating reality. The article focuses on Euroregions as formal organizations in the field of cross-border cooperation. By using a data set of 61 Euroregions considered to be particularly active, the study investigates the characteristics of cross-border cooperation agreements. For each Euroregion, cross-country comparisons take into account the following essential parameters: the number of actors involved in the agreement, their administrative and political nature, as well as the official goals pursued. From a descriptive perspective, the study aims to provide some useful classifications regarding the wide variety of cross-border experiences that have developed in Europe in recent decades. From the analytical perspective, the paper challenges enthusiastic claims that interpret Euroregions as effective political instruments for re-territorialization or new modes of cross-border multilevel governance.
Monitoring Multidimensional Poverty in the United States

On the international stage, poverty is increasingly understood multi-dimensionally as a deprivation of wellbeing in several dimensions rather than solely as a lack of income or low consumption. In the U.S., recent research shows that many people who are not counted as poor under the official or supplemental measures of income poverty experience multidimensional poverty. Yet there is no monitoring of multidimensional poverty. This paper examines trends in multidimensional poverty in the U.S. since 2013 using a measure that includes deprivations in family income, self-reported health status, educational attainment, employment status, and health insurance coverage. Using Current Population Survey data for years 2013 to 2017, the percentage of the total population experiencing multidimensional poverty decreased significantly each year, from 13.8% in 2013 to 10.0% in 2017. However, between 2016 and 2017, the extent of the decline in multidimensional poverty was smaller than in earlier years and became less widely shared across population groups. Increased deprivations in health insurance explain this more limited decline in multidimensional poverty in 2017.
A Simple Return Generating Model in Discrete Time; Implications for Market Efficiency Testing

A linear return generating model is introduced. This model is a generalization in discrete time of the differential equation describing dynamical systems in continuous time. The model is useful in its own right, as it provides a simplified, yet credible, quantitative description of the reality. Further, the model is used as a tool for a theoretical study of market efficiency testing. This is obtained by modelling certain market conditions under which new information is released and reflected in asset prices on the one hand, and, on the other hand, by recording what established econometric testing approaches conclude, about the hypothesis of market efficiency. Amongst others it is argued that, contrary to the general belief, theoretically a random walk in asset prices, under certain conditions, could be associated with profoundly inefficient markets. Furthermore, an enhancement of the battery of statistical tests for market efficiency is proposed by the potential application of specific forms of the suggested linear dynamic model and the possible advantages over the existing techniques are discussed.
VTP: an end-user programming paradigm based on tool-based language constructs

Are there types of end-user "programming" tasks which favor a visual tool-based paradigm? This paper reports on an experiment to empirically compare two end-user programming paradigms; a visual direct manipulative tool-based language versus an end-user scripting language. This experiment is part of a larger research effort to study issues relating to computer user interfaces supported by "intelligent software agents". The purpose of this work is to identify end-user programming tasks which favor a tool-based paradigm for collaborative work by groups of humans and the "agents". <<ETX>>
Design and Evaluation of a Prompting Instrument to Support Learning within the Diffusion Simulation Game

Conducting an iterative usability testing, a set of prompts used as a form of instructional support was developed in order to facilitate the comprehension of the diffusion of innovations theory (Rogers, 2003) in a simulation game called the Diffusion Simulation Game (DSG) (Molenda & Rice, 1979). The six subjects who participated in the study stated that the prompts were necessary in order to properly complete the game and that they would have done worse without them. However, the game performance and learning test scores did not correspond to the notion that the prompts significantly enhanced the learners' performances in the DSG or increased their knowledge of the underlying game theory. We assume that, as the DSG is a complex strategy game, the prompts may not be sufficient support by which to help learners. As such, it is possible that the game requires a different type of instructional support. We further speculate upon potential factors that could have affected the subjects' learning and performances. Several suggestions in regard to methods that could be used to improve the learning effectiveness of the game have been proposed.
Quadratic Backward Propagation of Variance for Nonlinear Statistical Circuit Modeling

Accurate statistical modeling and simulation are keys to ensure that integrated circuits (ICs) meet the specifications over the stochastic variations that are inherent in IC manufacturing technologies. Backward propagation of variance (BPV) is a general technique for statistical modeling of semiconductor devices. However, the BPV approach assumes that statistical fluctuations are not large so that variations in device electrical performances can be modeled as linear functions of process parameters. With technology scaling, device performance variability over manufacturing variations becomes nonlinear. In this paper, we extend the BPV technique to take into account these nonlinearities. We present the theory behind the technique and apply it to specific examples. We also investigate the effectiveness of several possible solution algorithms.
Implementation and evaluation of a parallel architecture using asynchronous communications

The paper describes the architecture of a SIMD massively parallel computer, based on a model called associative mesh. Associative mesh is a reconfigurable interconnection whose basic primitives combine efficiently communications and computations, thanks to an asynchronous scheme. We present the physical implementation of an associative network, with 8-connected 2D mesh topology specifically designed for applications in the computer vision domain. Some results of simulations and evaluations are shown.
Online Scheduling in the Operating Theatre

A bstract. Online scheduling is considered in this paper for the Operating Theatre. Robust elective schedules are determined in the offline environment prior to the day of surgery for the online environment. Changes to the offline schedule during project implementation are minimized using an online scheduling model that operates in real-time. The model aims to minimise cancellations of pre-scheduled elective patients whilst also allowing for additional scheduling of emergency cases, time permitting, which may arise during the schedules implementation. Surgical durations are modelled with a lognormal distribution. The single theatre case is solved and the computationally complex multiple theatre case, which is left for future work, is discussed.
A PC-Based Algorithm for Testing a Configured PLD Using Boundary Scan Test

A comprehensive algorithm, and a data structure are proposed to test configured programmable logic devices (PLD) through JTAG port (IEEE 1149.1) using boundary scan testing (BST). An exhaustive test vectors set (all possible logic combinations of inputs) is used to test any configured combination logic circuit, so that all possible stuck-at faults are covered. The correct response is stored either from a good configured PLD or from a simulation file. Then the actual response of an PLD is compared to the correct response, which is stored previously. The only limitation to such algorithm is the test time, which is increased exponentially with the number of inputs. This algorithm can be implemented using either a low level language (Assembly language) or a high level language (Visual C, Visual BASIC) on any personal computer via its printer port.