Miracle-dz/UniFAR-FTUs huggingface dataset:
Deberes escolares y rendimiento académico: un estudio comparativo entre el alumnado inmigrante y nativo

espanolLos deberes escolares son una de las practicas educativas mas extendidas en todo el mundo. Sin embargo, en literatura previa acerca de esta tematica los datos aportados no tienen en cuenta algunas variables importantes y propias de nuestro tiempo, como es la multiculturalidad de las aulas. Asi, una variable que podria resultar significativa en la relacion entre realizar deberes y rendir en la escuela es el hecho de ser inmigrante o nativo. Por ello, el presente trabajo examina si la relacion entre implicacion escolar y rendimiento academico varia en funcion de esta variable. La muestra se compone de 502 estudiantes (310 nativos y 192 inmigrantes) con edades comprendidas entre los 10 y 16 anos participaron en el estudio. A traves de la prueba t de Student para muestras independientes los resultados indican que existen diferencias estadisticamente significativas entre las dos poblaciones en la mayoria de las variables estudiadas, a favor del alumnado nativo. Se concluye, por tanto, que los estudiantes nativos aprovechan mejor el tiempo que dedican a la realizacion de los deberes escolares, llevan al colegio los deberes realizados con una mayor calidad, se benefician mas de los mismos y, ademas, su rendimiento es mayor que los estudiantes inmigrantes. English: Homework is one of the greatest educational practices in the world. However, in previous literature about this subject the research contributed does not take into account some important variables, such as the multiculturality of classrooms. Thus, a variable that could be significant in the relationship between doing homework and academic achievement is the fact of being an immigrant or a native. Therefore, the present study examines whether the relationship between homework involvement and academic achievement varies according to this variable. To do this, 502 students (310 natives and 192 immigrants) aged between 10 and 16 participated in the study. Through the Student’s t-test for independent samples the results indicate that there are statistically significant differences between the two populations in the majority of the variables studied, in favor of the native students. It is concluded, therefore, that the native students take better advantage of the time they dedicate to do homework, they take to homework realized with a higher quality, they benefit more of homework and, in addition, their academic achievement is better that immigrant students.
Intelligent Personalization Job Web Site

The online job market is growing rapidly, with thousands and thousands of jobs matched with job seekers. The major benefits of online job markets are the ability to reach a large number of job seekers at low costs, to provide detailed information online, to take applications and even to conduct tests. Also using intelligent program, resumes can be checked and matches made more quickly. This research made the Thai online Website for personalized one-to-one interactions and transactions. The core component used to generate this personalized web pages is the item based collaborative filtering recommendation model. The benefits enabled by the research will be for the organization in Thailand how to put together the components to transform it self to the digital economy and gain competitive advantage by using electronic commerce technology especially about the job market.
Folk Models of Online Behavioral Advertising

Online Behavioral Advertising (OBA) is pervasive on the Internet. While there is a line of empirical research that studies Internet users' attitudes and privacy preferences of OBA, little is known about their actual understandings of how OBA works. This is an important question to answer because people often draw on their understanding to make decisions. Through a qualitative study conducted in an iterative manner, we identify four "folk models" held by our participants about how OBA works and show how these models are either incomplete or inaccurate in representing common OBA practices. We discuss how privacy tools can be designed to consider these folk models. In addition, most of our participants felt that the information being tracked is more important than who the web trackers are. This suggests the potential for an information-based blocking scheme rather than a tracker-based blocking scheme used by most existing ad-blocking tools.
(A) Vision for 2050 - The Road Towards Image Understanding for a Human-Robot Soccer Match

We believe it is possible to create the visual subsystem needed for the RoboCup 2050 challenge – a soccer match between humans and robots – within the next decade. In this position paper, we argue, that the basic techniques are available, but the main challenge will be to achieve the necessary robustness. We propose to address this challenge through the use of probabilistically modeled context, so for instance a visually indistinct circle is accepted as the ball, if it fits well with the ball’s motion model and vice versa. Our vision is accompanied by a sequence of (partially already conducted) experiments for its verification. In these experiments, a human soccer player carries a helmet with a camera and an inertial sensor and the vision system has to extract all information from that data, a humanoid robot would need to take the human’s place.
The Subtour Centre Problem

The subtour centre problemis the problem of finding a closed trail S of bounded length on a connected simple graph G that minimises the maximum distance from S to any vertex of G. It is a central location problem related to the cycle centre and cycle median problems (Foulds et al., 2004; Labbe et al., 2005) and the covering tour problem (Current and Schilling, 1989). Two related heuristics and an integer linear programme are formulated for it. These are compared numerically using a range of problems derived from tsplib (Reinelt, 1995). The heuristics usually perform substantially better then the integer linear programme and there is some evidence that the simpler heuristics perform better on the less dense graphs that may be more typical of applications.
Accounting and accountants in church organisations: A critical reflection

In 1993, Booth proposed a framework to facilitate an understanding of the significance of accounting and accountants in religious organisations. Despite its unique focus, this model has received little attention in the accounting literature. This paper utilises the findings of a study of church accounting and accountants to critically reflect on the definition and application of the elements of Booth’s framework.
A Bayesian approach to accounting for variability in mechanical properties in biomaterials

In this paper, we present an approach for modeling bio-tissues that incorporates the variability in properties as part of their characteristics. This is achieved by considering the parameters of the model of a biomaterial to themselves be random variables and represented by a probability distribution over the space of parameters. This probability distribution is obtained by the systematic use of Bayesian inference together with a continuum mechanics based solution of a boundary value problem. We illustrate this approach by characterizing sheep arteries by using a combination of experimental data and different hyperelastic models. Furthermore, we also develop a model based Bayesian classification of new data into different classes based on the computed model parameter probability distribution.
Cadre Children and Cognitive Function of Parents in China: The Value of Political Connection

Abstract This paper investigates whether children’s political success contributes to social stratification and health inequality among older adults. Using China Health and Retirement Longitudinal Study (CHARLS) data, we investigate whether having a cadre (i.e., politically employed) child substantially increases overall cognitive functioning among older adults. We find that the beneficial effect of having a cadre child on cognitive functioning is equivalent to a 1.5-year increase in education, even after controlling for other variables related to general intelligence. This positive effect is more salient among parents of higher-ranking cadre children, and more salient in less-marketized regions. The results of a Sobel test suggest that about one-fifth of the effect can be explained by the channel of increased social interaction.
Surface Roughness Measure Based on Average Texture Cycle

This paper presents a testing method of surface roughness for the surface with straight features using image processing. This approach extracts the average texture cycle to describe the surface roughness of mechanical accessory. After surface images of the standard blocks with different roughness levels are collected, the feature value of the average texture cycle which is processed by Matlab software is saved into the texture database. The same method is used to get the feature value of average texture cycle for the surface image of unknown roughness level. Then the surface roughness value of mechanical accessory is gotten by comparing with the feature values of the average texture cycle in the texture database, according to the nearest rule. This method promises higher identification accuracy and lower light source requirement. More so, it can be used effectively when the surface of mechanical accessory has parts of defects.
SIMON Says, Break the Area Records for Symmetric Key Block Ciphers on FPGAs

While AES is extensively in use in a number of applications, its area cost limits its deployment in resource constrained platforms. In this paper, we have implemented SIMON, a recent promising low-cost alternative of AES on reconfigurable platforms. The Feistel network, the construction of the round function and the key generation of SIMON, enables bit-serial hardware architectures which can significantly reduce the cost. Moreover, encryption and decryption can be done using the same hardware. The results show that with an equivalent security level, SIMON is 86% smaller than AES, 70% smaller than PRESENT (a standardized low-cost AES alternative), and its smallest hardware architecture only costs 36 slices (72 LUTs, 30 registers). To our best knowledge, this work sets the new area records as we propose the hardware architecture of the smallest block cipher ever published on FPGAs at 128-bit level of security. Therefore, SIMON is a strong alternative to AES for low-cost FPGA based applications.
A model for evaluating IT security investments

A ssessing the return on investment has always been a sticking point for technology investments. Similar to IT productivity paradox [1], Return on Security Investment (ROSI) has become a controversial topic due to immense growth of e-businesses. Defining the value of security investments is challenging. However, it is clear that “security consumers will need to understand the variables that define ROSI and endure the discomfort of assigning dollar values to quantities that currently are extremely ill-defined” [12]. While calculating ROSI seems taxing, increasing possibility and scope of IT security breaches due to increasing interconnectivity makes it imperative. As the number of security breaches increases exponentially according to the CERT (see Table 1) so does their cost. The 2003 CSI/FBI Computer Crime and Security Survey revealed that 56% of respondents detected security breaches. Information Week and PricewaterhouseCoopers LLP estimated that computer viruses and hacking took a $1.6 trillion toll on the worldwide economy and $266 billion in the U.S. [5]. Security breaches have a significant impact on the market values of firms too. We have estimated that compromised firms, on average, lost approximately 2.1% of their market values within two days surrounding security breaches [3]. This translates to an average loss of $1.65 billion in market capitalization per incident. Moitra and Konda [10] found that as investment in security increases the survivability of firms from security breaches increases rapidly at first and then more slowly at higher levels of investment. Undoubtedly these figures point to the importance of more studies on the economics and management of IT security investments. Fear, uncertainty, and doubt (FUD) strategy has been used for years to sell investments in security [1]. However, according to Earthlink security experts Lisa Ekman and Lisa Hoyt, “Crying wolf may get the first firewall, but over the long run, you need a more well-rounded perspective” [12]. Since diverse security techA Model for Evaluating IT Security Investments
Numerosity and allocation behavior: Insights using the dictator game

This paper investigates how the numerosity bias influences individuals’ allocation of resources between themselves and others, using the backdrop of the traditional dictator game. Across four studies including both hypothetical and real exchanges of money, we show that the form of the numerical value representing the quantity of the resource (e.g., $20 vs 2000 cents) systematically biases the decision-maker to perceive the quantity s/he is thinking of allocating as being “less than adequate” or “more than adequate”. Essentially, such a biased perception of adequacy with respect to the quantity of the resource consequently influences the decision-maker’s final allocation decision. We attribute this systematic bias to the “numerosity” of the resource. We find that bigger numerical values representing quantity (e.g., 2000 cents) bias decision-makers to over-infer the quantity, thus inducing them to allocate less to the entities they are focusing on.
Multi-dimensional ROC Analysis with Decision Trees * Technical Report 17-Jan-2002

In this paper, we review the fundamental aspects of cost-sensitive learning and ROC analysis, highlighting the limitations of current approaches for problems with more than two classes and proposing some extensions and alternatives. In particular we address these problems for decision tree learners, although most of the results can be extended to other classifier systems. Among the new proposals included in this paper, we highlight two alternative representations for ROC curves that can be used for multidimensional problems, and new measures for evaluating cost matrix irregularity. We also discuss the problems of extending previous theoretical results on the efficient re-assignment of classes of a two-class rule-based model to multi-class problems and we outline some directions for covering a multidimensional ROC space.
1 1 TRANSPORTATION PROJECT OUTCOMES UNDER UNCERTAINTY : 2 AN EXAMINATION OF BENEFIT-COST RATIOS AND OTHER IMPACTS 3 4 5

28 29 Budget constraints and competing opportunities demand thoughtful project evaluation before 30 investment. Significant uncertainty surrounds travel choices, demographic futures, project costs, 31 and model parameters. The impacts of this uncertainty are explored by conducting hundreds of 32 sensitivity test runs across 28 random parameter sets to evaluate highway capacity expansion and 33 tolling project scenarios in Austin, Texas. The effects of different parameter sets on project 34 benefit-cost ratios, crash counts, emissions, traffic volumes, and tolling revenues are examined in 35 detail. Linear regression results show that link capacity, link-performance parameters – and their 36 covariation – are key to results, followed by the elasticity of demand, trip growth rates and 37 values of travel time. 38 39 INTRODUCTION 40 41 As a consequence of global recession, governments around the world are trimming budgets 42 (Economist 2011a, 2011b and 2011c). With U.S. gas taxes stagnant and transportation 43 construction prices rising 59% between 2000 and 2009 among six representative states (WSDOT 44 2011), transportation professionals must determine and pursue the most socially beneficial and 45 budget-sensitive projects possible, under tight funding constraints. Kockelman et al.'s (2010) 46 Project Evaluation Toolkit or PET allows users to quickly and with minimal input ascertain trip
Fisheries Monitoring in The Cabo Verde Region Using ERS Data

The aim of this study is the application of ERS data (ATSR2 and radar altimetry) to fisheries monitoring in the Cape Verde region. This work is being done in the scope of the ESA A03-265 project. The Cape Verde Archipelago lies under the influence of the southern portion of the Canarias Current, where it turns westward and becomes the North Equatorial Current. Cold and nutrient-rich waters upwelled at the Western African coast are transported south-westward along this current system. However, due to the seasonal north-south migration of the current system, the south-eastern region of the islands can be affected by the Equatorial Countercurrent. Two very different water masses meet forming a large scale frontal system in the vicinity of the archipelago. These frontal zones are potentially favourable for the aggregation of large pelagic highly migratory fish species. The knowledge of the front location and variability has a great socio-economic importance for the local fishing industry, as well as in the support of global stock management of these species. Using maps of sea surface topography and sea level anomalies derived from satellite altimetry and maps of sea surface temperature from ATSR2, the general features of the ocean circulation in the study area have been investigated. Due to the fact that Cape Verde region has very cloudy conditions, the synergy of microwave and infra-red data is of great importance for this study. The methodology used in this analysis and the results obtained so far are presented. Future work involves the use of in situ data to validate satellite derived information and the investigation of the relationships between fishing success and the ocean conditions measured by satellite and in situ methods. The ultimate goal will be the development of an operational methodology for the location of potential favourable areas for the concentration of large pelagic fish in the area of local fishing fleet activity.
COST BASED MULTIPATH ROUTING IN WIRELESS SENSOR NETWORK FOR MULTIMEDIA

A Wireless Sensor Network (WSN) essentially consists of data sensor nodes and video sensor nodes, which senses both sound and motion of events. Routing is the process of moving packets across a network from one node to another. It is usually performed by dedicated devices called routers. Single path routing protocol is used for route discovery and resource utilization. There are some drawbacks like reduced network throughput, network performance, increased traffic load and delay in data delivery. To overcome these problems, multipath routing is preferred. It is the method of using multiple paths in a network. A new system called Cost Based Multipath Routing (CBMR) for multimedia data is proposed based on multipath routing to improve the reliability of data transmission. The need for the proposed system is to provide multipath routing for multimedia data in an efficient manner where the best path is chosen based on the cost. The proposed system incorporates Real-time Transmission Protocol (RTP) and Multiple Description Coding (MDC) for transmission of multimedia data. Using these techniques, the multimedia data is encoded into trace files at the sender side and the decoding of the trace files is performed at the receiver side. The generated trace files contain information about frames, pixels and headers. This system is applied between the source and sink in a wireless sensor network. The proposed protocol is simulated using Network Simulator2.
Fighting for Connection: Patterns of Intimate Partner Violence

ABSTRACT In this article, we draw on attachment theory, academic research, emotionally focused couple therapy, and our own clinical practice to offer insights into situational couple violence (SCV) and its therapeutic management. We argue that SCV arises from negative interaction patterns, which can be described by four patterns of violence that represent different attachment behaviours between partners. By understanding these dynamics, SCV is understood within a refined attachment-based therapeutic paradigm that gives the therapist a clear roadmap of how SCV is related to the underlying emotions and needs of both partners.
Upgrading the DNA Sequence of the Rat Genome

The Brown Norway or laboratory rat (Rattus norvegicus) genome was sequenced in a project jointly supported by the NHGRI and the NHLBI (12). This was the third mammalian project undertaken by the NIH but the first that would only be taken to the draft stage. The project was a complex collaboration led by the BCM-HGSC (BAC skims, wgs, assembly, annotation, overall coordination) and including Celera Genomics Inc. (wgs reads), Genome Therapeutics Inc. (wgs reads, Y chromosome), University of Utah (wgs reads), TIGR (BAC end sequences), British Columbia Genome Sciences Centre (BAC fpc map), NISC-NHGRI (BAC sequencing), Washington University Genome Sequencing Center (BAC fpc map), and Children’s Hospital Oakland Research Institute (BAC libraries). Annotation and analysis was performed by an international consortium of over 70 analysts.
Media work in change: Understanding the role of media professionals in times of digital transformation and convergence

This article discusses media work and the changes that have swept the media industry from the vantage point of professionals working in media companies and organisations. The concept of media work guides towards new understanding about the media industry and media professions under digital transition. Media work indicates a move towards more diversified job tasks, closer cooperation among different media professions, increased commercial thinking, and interaction with audiences.
Built-In Self-Repair Techniques for Heterogeneous Memory Cores

In this paper, BISR (built-in self-repair) techniques for heterogeneous multiple memory cores with divided redundancy mechanism are proposed. Redundant memories are partitioned into row blocks and column blocks and shared among all memory cores in the same memory group. Therefore, unlike the traditional redundancy mechanism, a row (column) block is used as the basic replacement element. Based on the proposed divided redundancy mechanism, a heuristic heterogeneous extended spare pivoting (HESP) redundancy analysis algorithm suitable for built-in implementation is also proposed. Experimental results show that repair rates can be improved significantly due to the efficient usage of redundancy. Moreover, the area overhead of the BISR circuitry for an example with four memory instances is only 1.12%.
Mobile based home automation using Internet of Things(IoT)

Availability of high speed mobile networks like 3G and Long Term Evolution(LTE) coupled with cheaper and accessible smart phones, mobile industry has seen a tremendous growth in terms of providing various services and applications at the finger tips of the citizens. Internet of Things(IoT) is one of the promising technologies which can be used for connecting, controlling and managing intelligent objects which are connected to Internet through an IP address. Applications ranging from smart governance, smart education, smart agriculture, smart health care, smart homes etc can use IoT for effective delivery of services with out manual intervention in a more effective manner. This paper discusses about IoT and how it can be used for realizing smart home automation using a micro-controller based Arduino board and Android mobile app. In this paper, two prototypes namely home automation using Bluetooth in an indoor environment and home automation using Ethernet in an outdoor environment are presented.