Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluación de resultados de la práctica en creación de empresas en los programas de pregrado de la Universidad Industrial de Santander (UIS)

Desde el ano 2008 el programa de Emprendimiento de la Universidad Industrial de Santander (UIS) guia a los estudiantes a proponer soluciones a las necesidades, los problemas y los deseos presentes en la comunidad, mediante trabajos de grado que desarrollan ideas innovadoras y generan empleo. Esta investigacion, que surge de la necesidad de contar con informacion acerca de las debilidades, fortalezas y oportunidades de mejora de esta opcion de trabajo de grado, evalua los resultados de la implementacion de la modalidad practica en creacion de empresas en los programas de pregrado de la UIS. En el estudio se identificaron los proyectos de grado de la modalidad y se caracterizaron de acuerdo con el programa academico, el sector economico y el equipo emprendedor. Los resultados muestran que algunos graduados logran desarrollar sus propias empresas y, en consecuencia, es valioso apoyar esta modalidad y seguir incentivando la cultura empresarial en la institucion.
Programming a User Model with Data Gathered from a User Profile

In order to prevent human error, it is essential to understand the nature of the user’s behaviour. This chapter proposes a combined approach to increase knowledge of user behaviour by instantiating a programmable user model with data gathered from a user profile. Together, the user profile and user model represent, respectively, the static and dynamic characteristics of user behaviour. Typically, user models have been employed by system designers to explore the user decision-making process and its implications, since user profiles do not account for the dynamic aspects of a user interaction. In this chapter, the user profile and model are employed to study human errors—supporting an investigation of the relationship between user errors and user characteristics. The chapter reviews the literature on user profiles and models and presents the proposed user profile and model. It concludes by discussing the application of the proposed approach in the context of electrical systems’ operation.
Boundary null-controllability of two coupled parabolic equations: simultaneous condensation of eigenvalues and eigenfunctions

Let the matrix operator L = D∂xx + q (x) A0, with D = diag (1, ν), ν ≠ 1, q ∈ L∞ (0, π), and A0 is a Jordan block of order 1. We analyze the boundary null controllability for the system yt − Ly = 0. When [see formula in PDF] and q is constant, q = 1 for instance, there exists a family of root vectors of [see formula in PDF] forming a Riesz basis of L2(0,π;ℝ2). Moreover F. Ammar Khodja et al. [J. Funct. Anal. 267 (2014) 2077–2151] shows the existence of a minimal time of control depending on condensation of eigenvalues of [see formula in PDF], that is to say the existence of T0 (ν) such that the system is null controllable at time T > T0 (ν) and not null controllable at time T < T0 (ν). In the same paper, the authors prove that for all τ ∈ [0, + ∞], there exists ν ∈] 0, + ∞ [ such that T0 (ν) = τ. When q depends on x, the property of Riesz basis is no more guaranteed. This leads to a new phenomena: simultaneous condensation of eigenvalues and eigenfunctions. This condensation affects the time of null controllability.
PENGAMANAN DATA MySQL PADA E-COMMERCE DENGAN ALGORITMA AES 256

With the massive number of e-Commerce and websites becoming the target of hackers’ attacks in recent years, threats that are commonly targeting web applications include SQL Injection and data theft. Designing, establishing, and implementing MySQL data security on e-Commerce with AES 256 Algorithm have become one solution of overcoming the issue. In addition, it is also used to avoid Kripanalisis Cryptanalysis to read the encryption pattern in finding the key. The result expected is to establish a more secure data of e-Commerce from the hackers’ attacks and data theft from the business competitors.
Evaluation Methods of Emotional Expression in Short Text Conversation

With the advance of the study on automatically generated conversation, the research on evaluation is also getting important. How to evaluate the quality of the emotional conversation text is our research goal. The two major evaluation methods have their own drawbacks. The automatic evaluation methods can judge the dialogue system quickly; however, there is no commonly accepted metrics currently. On the other hand, human judgments suffer from inconsistency; the inter-annotator agreement is unstable. In this paper, we conduct a study on how to make the human judgment more stable by analyzing the mutual agreement between different human judges, and discuss how to systematically design evaluation questions. We discuss how to improve the evaluation rules in STC-2 task in NTCIR, which originally are not designed for emotional conversation. We design a process to find out stable factors with catharsis emotional aspects to improve the evaluation rules for emotional dialogue evaluation. The dialogue data with catharsis types are gathered from our STC-2 system. Evaluation questionnaire with different aspects is verified on whether it can achieve consistency or not. By analyzing the questionnaire survey result, we find the aspects that can achieve higher consistency.
RUCIR at NTCIR-14 STC-3 Task

This paper describes RUCIR’s system in NTCIR-14 Short Text Conversation (STC) Chinese Emotional Conversation Generation (CECG) subtask. In our system, we use the Attention-based Sequence-toSequence(Seq2seq) method as our basic structure to generate emotional responses. This paper introduces: 1) an emotion-aware Seq2seq model, 2) several features to boost the performance of emotion consistency. Official results show that we are the best in terms of the overall results across the five given emotion categories.
What the Tech is Going on with Teachers’ Digital Teaching Portfolios? Using the TPACK Framework to Analyze Teachers’ Technological Understanding

despite the growing popularity of digital teaching portfolios, research has remained focused on outcomes associated with creating digital teaching portfolios instead of examining how they can be used to effectively assess what teachers know, especially when it comes to educational technology. one barrier to using portfolios as a means of assessing teachers’ knowledge of technology is the lack of a guiding framework for characterizing teachers’ technology knowledge. In this paper, we propose that the technological pedagogical content Knowledge (tpacK) framework is well suited to the task of studying the knowledge (including technological knowledge) teachers represent in their digital teaching portfolios. we demonstrate how the tpacK framework can guide a content analysis of digital teaching portfolios by examing 589 online portfolios created by educators as the culminating assessment in their master’s studies. we conclude that the tpacK framework is helpful for analyzing the types of technological knowledge teachers may represent in portfolios but acknowledge several important challenges to its use.
Techniques of behavioral therapy for chronic pain and their effectiveness according to the results of meta-analyses

Objectives: The aim of this paper is to discuss the behavioral techniques of chronic pain management used in clinical practice and to review the results of meta-analyses of the studies aimed at assessing their effectiveness. Review: Pain is the most common symptom in medicine and chronic pain is a common disease. Behavioral therapy offers the most effective psychological techniques for chronic pain treatment. The following three types of behavioral therapies for pain are discussed: behavioral therapy based on both operant and respondent conditioning, cognitive-behavioral therapy, and acceptance and commitment therapy. Meta-analyses of the studies concerning the effectiveness of behavioral techniques of chronic pain management are reviewed. Conclusions: The results of the meta-analyses of the studies concerning the effectiveness of behavioral techniques of chronic pain management clearly support their use in clinical practice. © 2014 Institute of Psychiatry and Neurology. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved. * Adres do korespondencji: Instytut Psychologii Uniwersytet Jagielloński, al. Mickiewicza 3, 31-921 Kraków, Polska. Tel. : +48 12-634-13-55. Adres email: przemyslaw.babel@uj.edu. pl (P. Bąbel). Dostępne online www.sciencedirect. com
Ontology-based Entity Matching in Attributed Graphs

Keys for graphs incorporate the topology and value constraints needed to uniquely identify entities in a graph. They have been studied to support object identification, knowledge fusion, and social network reconciliation. Existing key constraints identify entities as the matches of a graph pattern by subgraph isomorphism, which enforce label equality on node types. These constraints can be too restrictive to characterize structures and node labels that are syntactically different but semantically equivalent. We propose a new class of key constraints, Ontological Graph Keys (OGKs) that extend conventional graph keys by ontological subgraph matching between entity labels and an external ontology. We show that the implication and validation problems for OGKs are each NP-complete. To reduce the entity matching cost, we also provide an algorithm to compute a minimal cover for OGKs. We then study the entity matching problem with OGKs, and a practical variant with a budget on the matching cost. We develop efficient algorithms to perform entity matching based on a (budgeted) Chase procedure. Using real-world graphs, we experimentally verify the efficiency and accuracy of OGK-based entity matching.
Environment and Planning B: Planning and Design 2007, volume 34, pages 687^707

All current urban models accept the 'first-order recursion' view, namely, that the state of an urban system at time t is sufficient for predicting its state at ta 1. This assumption is not at all evident in the case of urban development, where the behavior of developers and planners is defined by the complex interaction between long-term and short-term plan guidelines, local spatial and temporal conditions, and individual entrepreneurial activity and cognition. In this paper we validate the first- order recursion approach in an artificial game environment: thirty geography students were asked to construct a 'city' on the floor of a large room, with each student using the same set of fifty-two building mock-ups. Based on the analysis of game outcomes, the first-order recursive set of behavioral rules shared by all the participants is estimated and further employed for computer generation of artificial cities. Comparison between the human-built and model patterns reveals that the constructed set of rules is sufficient for representing the dynamics of the majority of experimental patterns; however, the behavior of some participants differs and we analyze these differences. We consider this experiment as a preliminary yet important step towards the adequate modeling of decision-making behavior among real developers and planners.
Rebuilding racket on chez scheme (experience report)

We rebuilt Racket on Chez Scheme, and it works well—as long as we're allowed a few patches to Chez Scheme. DrRacket runs, the Racket distribution can build itself, and nearly all of the core Racket test suite passes. Maintainability and performance of the resulting implementation are good, although some work remains to improve end-to-end performance. The least predictable part of our effort was how big the differences between Racket and Chez Scheme would turn out to be and how we would manage those differences. We expect Racket on Chez Scheme to become the main Racket implementation, and we encourage other language implementers to consider Chez Scheme as a target virtual machine.
Karl Gunnar Persson and Paul Sharp

This paper argues that imperfectly informed consumers use simple signals to identify the characteristics of wine. The geographical denomination and vintage of a wine as well as the characteristics of a particular wine will be considered here. However, the specific characteristics of a wine are difficult to ascertain ex ante given the enormous product variety. The reputation of a denomination will thus be an important guide for consumers when assessing individual wines. Denomination reputation is a function of average quality as revealed by the past performance of producers. The impact of past performance increases over time, since producers consider improved average quality to be an important factor in enhancing the price, but this necessitates monitoring of members in the denomination. The market and pricing of Tuscan red wines provide a natural experiment because there are a number of denominations of different age, each of which is typically undergoing a process of gradual increase in quality standards over time. Furthermore, Tuscan red wines are easily comparable because of great similarities in climate and choice of grape varieties, soil and exposure to sun etc. We show that new denominations have a lower average quality score and that price differentials between denominations are linked to differences in average quality, although consumers tend to exaggerate the quality gap between prestige denominations and new denominations. Thus, a producer in an old denomination benefits from a substantial mark-up relative to an equally good producer from a new denomination. Since ambitious producers in new denominations suffer from price ‘discrimination’ it can be expected that they will produce vineyard branded but denomination neutral wines, provided they can overcome the large fixed costs associated with that strategy. We show that denomination neutral wines do indeed have a stronger price-quality relationship than denomination specific wines. JEL codes: L15, L66
OPTIMIZING SHARED MOORING AND ANCHORING STRENGTH FOR FLOATING OFFSHORE WIND TURBINE ARRAYS

Energy from floating offshore wind could provide substantial power generation if further utilized, but design optimization is required for the concept to achieve financial viability. A method proposed to reduce substructure costs for floating offshore wind turbines is to connect mooring lines from multiple turbines to a single anchor. However, the complex coupling of components in this system presents a reduction in system reliability of the wind array due to the chance of cascading failure in survival load cases. A proposed hypothesis to correct without drastically increasing costs is to strengthen a small number of important anchors significantly more than the rest. A noise-resistant optimization algorithm was developed using elements of genetic algorithms and Bayesian optimization to identify the optimal anchors to strengthen to improve system reliability. A previously developed simulation that evaluates the reliability of a hypothetical floating wind array with multiline anchors in the loading scenario of a 500-year storm was used as an objective function. While the resultant reliability values were uncompetitive compared to slightly strengthening all anchors, analyzed trends showed opportunity for the concept to work if a higher number of anchors are overstrengthened.
Effortless Coordination : 25 Years of Awareness Research

Significant progress has been made in awareness research in Computer-Supported Cooperative Work over the last 25 years. This survey addresses awareness and effortless coordination—that is, how a mutual understanding in distributed teams can be gained and maintained, while still keeping the team members’ coordination efforts to a minimum. I characterise the origins of awareness and its ethnographically-informed and the technology-oriented roots, and discuss the notion of awareness. I review technical solutions for awareness support—both in applications as seen by users, and in base technology as seen by developers. Design tensions in awareness research and solutions are identified. A discussion contrasts awareness as seen from a users’ activity and effort perspective versus awareness as seen from a systems’ support and automation perspective.
Accounting Regulations and Its Impact on the Judgments of Japanese Professional

The move towards a principles-based approach in accounting standards has been motivated by cases of accounting fraud and the global convergence of financial reporting. We examine whether a principles-based accounting standard with rules and guidance improves the judgments of accountants and more clearly conveys the economic substance of transactions and events. In particular, we extend prior research on accounting judgments by examining the effects of a principles-with-guidance approach and a principles-only approach, as well as the stringency and incentives on the judgments of Japanese accountants in a lease accounting setting. The results showed that “principle” (full payout criterion) had a positive effect, while “rule” (approximately 90% criterion) had a negative effect on encouraging Japanese professional accountants to recognize lease transactions. A more stringent numerical rule (approximately 88% criterion) had a positive effect only when clients were in poor financial conditions or high debt-equity ratio environments. The findings also indicated that Japanese accountants’ judgments were strongly subject to the perceived judgments of their colleagues, but the perception bias between accountants and their colleagues was not significant. This pioneering study contributes to a better understanding of the unique features of Japanese professional accountants’ judgments.
TOURISM DEMAND IN THE SOUTH-WEST PLANNING REGION OF MACEDONIA

The paper makes an attempt to forecast tourism demand in the South-west Planning Region (SWPR) of Macedonia. The author applies the trend analysis model and the simple linear regression model for that purpose. The linear regression model gave better and more accurate results. According to the ten-year-forecasts obtained from the linear regression results, it is expected an insignificant increase of tourism demand in the SWPR. Yet, according to the ten-year forecasts obtained from the trend analysis model, it is expected a great increase of tourism demand in this region. It should always have in mind that the forecasts can never be absolute accurate due to many influential factors. Regardless the applied method, it cannot explain the changes and reasons behind that.
Comparison and Analysis of Two Approaches to Find Novel Documents out of Several Documents

Novelty detection system is used to extract documents with new or novel information from list of documents. Without looking for lot of redundant information, we can get useful information in a limited time. Cosine similarity and Language modeling are the two emerging techniques of information retrieval in today’s scenario. The current study performs the analysis and comparison between these two models. Keywords Cosine similarity, Information retrieval, Language modeling, Novelty detection, Smoothing
An Asic Low Power Primer Analysis Techniques And Specification

Thank you very much for reading an asic low power primer analysis techniques and specification. Maybe you have knowledge that, people have search hundreds times for their chosen novels like this an asic low power primer analysis techniques and specification, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they are facing with some infectious virus inside their computer.
Parallelizing the Traversal of Large Ensembles of Decision Trees

Machine-learnt models based on additive ensembles of regression trees are currently deemed the best solution to address complex classification, regression, and ranking tasks. These models are computationally demanding: indeed, to compute the final prediction the whole ensemble must be traversed by accumulating the contributions of all its trees. In particular, traversal cost impacts applications where the number of candidate items is large, the time budget available to apply the learnt model to them is limited, and the users’ expectations in terms of quality-of-service is high. Document ranking in web search, where sub-optimal ranking models are deployed to find a proper trade-off between efficiency and effectiveness of query answering, is probably the most typical example of this challenging issue. This paper investigates multi/many-core parallelization strategies for traversing large ensembles of regression trees, that tip the balance towards machineF. Lettich Univ. Federal do Ceará, Brazil and Univ. of Venice, Italy E-mail: francesco.lettich@gmail.com C. Lucchese Ca’ Foscari University of Venice, Italy E-mail: claudio.lucchese@unive.it F. M. Nardini ISTI–CNR, Italy – E-mail: francomaria.nardini@isti.cnr. it S. Orlando Ca’ Foscari University of Venice, Italy E-mail: orlando@unive.it R. Perego ISTI–CNR, Italy – E-mail: raffaele.perego@isti.cnr. it N. Tonellotto ISTI–CNR, Italy – E-mail: nicola.tonellotto@isti.cnr. it R. Venturini University of Pisa, Italy E-mail: rossano.venturini@unipi.it learnt models that are, at the same time, effective, fast, and scalable.
When is a Game Not a Game ?

Educational games are designed with playful affordances, yet have the serious purpose of supporting players’ learning. Given this, how players perceive these activities may influence how they interact with them, and therefore, whether they actually learn from them. We present player perception of an educational game through the triadic game design framework. Selected cases are presented here from one educational game teaching Newtonian physics to better understand the relationships between player perceptions and the nature of their game experiences, in terms of reality, meaning, and play. The findings we present indicate that players’ perceptions of educational game affordances as school-like or gamelike contribute to divergent experiences with the same design.
You are now an Influencer! Measuring CEO Reputation in Social Media

We know that reputation in organisational contexts can be understood as a valuable asset that requires diligent management. It directly affects how a firm is publicly perceived, and indirectly, how a firm will perform economically. The establishment of social media as ubiquitous tools of communication have changed how corporations manage their reputation. Particularly CEOs face novel responsibilities, as they deal with their personal image, which at the same time affects the reputation of their firm. Whereas CEO and corporate reputation have been researched isolated from each other, little is known about how a CEO's social media reputation management affects corporate reputation. This research in progress paper aims to emphasise this research gap with a literature review on the current status of reputation management and measurement by means of social media. We further propose a research design that combines sentiment analysis, frequency detection, and content analysis and discuss further research prospects.
Coefficient-based exact approach for frequent itemset hiding

—Concealing sensitive relationships before sharing a database is of utmost importance in many circumstances. This implies to hide the frequent itemsets corresponding to sensitive association rules by removing some items of the database. Research efforts generally aim at finding out more effective methods in terms of convenience, execution time and side-effect. This paper presents a practical approach for hiding sensitive patterns while allowing as much nonsensitive patterns as possible in the sanitized database. We model the itemset hiding problem as integer programming whereas the objective coefficients allow finding out a solution with minimum loss of nonsensitive itemsets. We evaluate our method using three real datasets and compared the results with a previous work. The results show that information loss is dramatically minimized without sacrificing the accuracy.