Miracle-dz/UniFAR-FTUs huggingface dataset:
An Experimental Analysis of Bottleneck-Centered Opportunistic Scheduling

Abstract : Bottleneck-centered, opportunistic scheduling is an effective problem solving paradigm based on a fundamental Analyze-Focus-Decide cycle. Opportunistic schedulers have shown better overall performance than other scheduling systems adopting different paradigms. However, in order to make more significant progress, we need to better understand how the different phases of the opportunistic cycle interact during problem solving. This paper reports an extensive analysis of a specific embodiment of the opportunistic scheduling paradigm, the Conflict Partition Scheduling procedure. By analyzing the role of each phase of CPS proposing variations and anticipating expected effects on the performance of the algorithm, we aim to develop a better understanding of the importance of the different phases and of their interactions. The hypotheses on the performance of CPS are then verified in an experimental analysis. The results of this study provide hard evidence that supports the fundamental assumptions made by opportunistic scheduling.
A Stochastic Parallel Method for Real Time Monocular SLAM Applied to Augmented Reality

In augmented reality applications, the position and orientation of the observer must be estimated in order to create a virtual camera that renders virtual objects aligned with the real scene. There are a wide variety of motion sensors available in the market, however, these sensors are usually expensive and impractical. In contrast, computer vision techniques can be used to estimate the camera pose using only the images provided by a single camera if the 3D structure of the captured scene is known beforehand. When it is unknown, some solutions use external markers, however, they require to modify the scene, which is not always possible. Simultaneous Localization and Mapping (SLAM) techniques can deal with completely unknown scenes, simultaneously estimating the camera pose and the 3D structure. Traditionally, this problem is solved using nonlinear minimization techniques that are very accurate but hardly used in real time. In this way, this thesis presents a highly parallelizable random sampling approach based on Monte Carlo simulations that fits very well on the graphics hardware. As demonstrated in the text, the proposed algorithm achieves the same precision as nonlinear optimization, getting real time performance running on commodity graphics hardware. Along this document, the details of the proposed SLAM algorithm are analyzed as well as its implementation in a GPU. Moreover, an overview of the existing techniques is done, comparing the proposed method with the traditional approach.
INFORMATION STORAGE AND RETRIEVAL

Abstract : Some experimental procedures for the identification of information content, using word frequency counting techniques are described. An attempt is made in particular to determine those areas in a natural language text which contain more than an average amount of new information. The use of tree structures for the representation of relations between terms included in classification systems, and between words in the natural language is discussed. Procedures are also suggested for the automatic identification of structural relations, and for the use of trees to perform the matching process. Some problems connected with the use of syntactic analysis for the identification of document content, and various strategies which appear useful for the processing of structured information are discussed. Methods are described for the efficient representation of tree structures in computer storage. Programs are also exhibited to perform a variety of information retrieval operations. (Author)
Analysis of strategies in expert tutoring dialog for use in Intelligent Tutoring System development

One-on-one tutoring that encourages students to explain their answers has long been known to be an effective means of increasing student performance, even when the tutors are far from experts in the field concerned (e.g., Chi, de Leeuw, Chiu, and LaVancher, 1994; Bloom, 1984). The design of effective Intelligent Tutoring Systems (ITS) is an area of active research that attempts to take advantage of the benefits of this type of tutoring with the added convenience of automated, just-in-time teaching interventions. Validating ITS dialogues requires comparison with human tutors constrained to conditions similar to those found in ITS interfaces. A basic assumption in the design of ITS is that student productions (questions, statements, and side comments) can be categorized in a way that permits selection of an appropriate tutor response. Advanced ITSs attempt to use Natural Language Processing (NLP) components to give the student an intervention tailored to their specific needs. For these systems to work, a detailed modeling of the conversations that occur during a domain specific tutoring session is desirable. This study addresses two questions posed by the comparison of ITSs to human tutors. The first is the degree of variance that can be expected between expert tutors in a given discipline, in this instance physics. The second is the extent to which the productions of expert tutors vary from one tutor to another and if experience has any impact on the set of dialog moves employed by domain expert tutors. Answers to these questions could be key to the development of a robust ITS. AutoTutor is an ITS that teaches physics by using NLP components to conduct a dialog with the student (Graesser et al., 2000). Students are asked questions in conceptual physics and AutoTutor responds based on the quality of the student response. The overall selection of tutor responses is based on an extensive analysis of the moves employed by nonexpert human tutors across a broad range of subjects (Graesser & Person, 1994). In the process of developing and validating a version of Auto Tutor for conceptual physics, a set of 17 verbatim transcripts of tutoring sessions between students and expert physics tutors were collected. These transcripts represent well over 100 hours of human physics tutoring in a chat room environment. A turn by turn analysis of the transcripts was conducted by an experienced physics professor and a graduate student in educational technology using a modified form of the classification scheme introduced by Graesser and Person (1994). This analysis sheds light on how expert tutors use dialog to elicit deep processing of conceptual physics problems for use in improving intelligent tutoring of physics.
Natural Resources and Corruption : Empirical Evidence from China

Comparative studies suggest that the abundance of natural resources often contributes to economic underdevelopment in third-world countries. One major causal mechanism of resource curse, as some scholars point out, is that reliance on resources leads to bad governance and weak political institutions that suffer widespread corruption. However, others argue that resource endowment does not necessarily translate into weak institutions as political elites can invest windfall revenues from resource in building state capacity. How do natural resources affect the quality of political institutions in China, a country that hosts rich natural resources and rely heavily on them for its economic development? This paper explores the relationship between the endowment of mineral resources and the occurrence of corruption of public officials in China. Through cross-provincial and longitudinal data analysis, it finds that the abundance of and dependence on mineral resources undermine local political institutions by increasing the propensity for corruption.
College Students’ Knowledge of Risk Factors Related to Cardiovascular Disease

Background: Cardiovascular disease (CVD) is a prevalent health issue, accounting for a large proportion of deaths worldwide. Despite the high prevalence of this potentially detrimental condition, many college students are not fully aware of its contributing risk factors. The purpose of the current study was to determine college students’ knowledge of risk factors related to CVD. Methods: This was a quantitative, cross-sectional study with a descriptive design. A survey with 5 demographic questions and 20 Likert-type statements was administered to 118 students in a Midwestern college in the United States. Results: The majority of the students displayed knowledge of risk factors such as smoking tobacco, inactive lifestyle, hypertension, low intake of fruits and vegetables, elevated cholesterol levels, high dietary sodium and obesity. However, a knowledge deficit existed regarding gender and ethnicity, which are non-modifiable risk factors, albeit important considerations. Conclusions: Although students appeared knowledgeable about areas such as cholesterol in cardiovascular health, further education could be beneficial to improve this knowledge base.
A Semantic-Based Friend Recommendation System Based On Lifestyle Matching

Most of the social networking systems or friend recommendation systems used nowadays recommend friends based on their social connectivity or on a mutual basis. But this is a syntactic approach as there is no metric used and so it may not be that appropriate approach for friend recommendation. In this paper, a semantic-based friend recommendation system is proposed which recommends friends to users based on their lifestyles. Similarity of lifestyles between users is measured by a similarity metric and the system recommends those friends to the users that share high similarity among their lifestyles. Impact of user is calculated and a friend-matching graph is generated accordingly. Finally, the system returns a list of users with highest recommendation scores to the user. The system also includes a feedback mechanism which allows users to rate the friend recommendation.
The process of opportunities exploration and exploitation in the development of SMES’ innovativeness

Received: 26 April 2018 Abstract Accepted: 14 June 2018 The aim of the paper is to present an overview of the theoretical basis and stages of the process of opportunities exploration and exploitation in the development of innovativeness of small and medium-sized enterprises (SMEs) and its preliminary empirical verification on the basis of experience derived from economic practice. The aim of the paper is realized based on the author’s own empirical research carried out in the form of a case study conducted among 5 innovative SME companies in Poland. The results indicate that the analyzed companies associate opportunities directly with entrepreneurship and the development of innovative activity. They take various actions that are part of theoretical principles of effective opportunities exploration and exploitation, which allows them to obtain a number of pro-innovative benefits and which supports the creation of competitive advantage.
Simulation of Synchronous Machine in Stability Study for Power System: Garri Station as a Case Study

This paper aimed to investigate the effectiveness of an adaptive artificial intelligence on enhancing the stability of gas turbine-Garri Power Station, which is designed to generate about 38MW. Fuzzy logic method controller was proposed based on stabilizer to enhance the power system stability. Linguistic rules and fuzzy inference mechanism are utilized to tune the controller parameters in different operating states. The proposed controller was applied to a single machine infinite bus system, represented by Gas Turbine-Garri Power Station (GPS). Simulation studies have been carried out using TILLSHELL software. The simulation results demonstrated that the proposed control scheme performs well and strongly control the power system under different loading conditions, disturbances and system parameter variations. The proposed controller is robust and more suitable for damping of low frequency oscillation and more effective in improving dynamic stability and voltage profile than the conventional systems.
A REVIEW ON OBJECT MODELLING METHODOLOGIES

Object plays an important role in database for obtaining the data and is at the core of database architecture. This paper is concerned with exploring the techniques of object modelling which is necessary to understand the dynamics of object oriented database and consequently the evolutionary technique of multi-view database. Thus this paper is concerned with exploring various object modelling methodologies.
Performance measurement: The next station

Purpose of this study is to explore how changes in business environment are affecting organizational performance measurement (PM) and furthermore what direction is the PM expected to take in the future. A single instrumental case study was conducted to explore the issue of PM and the changing environment from the perspective of the practitioners. Research was carried out in a large manufacturing organization in Karachi, Pakistan. The key findings from the study include: 1) The concept of a tightly bounded organization as a single, self-contained unit is being replaced by a complex, social structure comprising of multiple interdependent units. 2) Contemporary PM systems use historical data to address the accountability and progress monitoring needs of organizations. 3) The organizations are now realising a need for a PM system capable of predicting the future performance rather than analysing the past achievements, hence it is expected that the future PM system may shape up into a dynamic and flexible planning tool rather than a rigid assessment tool. The study contributes to the extant literature by pointing out the deficiencies in the contemporary PM systems and suggests critical characteristics of the future PM systems which might help organizations in aligning its strategies enabling it to successfully compete in the changed environment.
Is the subject-before-object preference universal? An event-related potential study in the Kaqchikel Mayan language

The processing load of sentences with different word orders in the Kaqchikel Mayan language was investigated using event-related potentials. We observed a P600 for subject-verb-object and verb-subject-object sentences as compared to verb-object-subject (VOS) sentences, suggesting that VOS order is easier to process than the other orders. This is consistent with the traditional interpretation in Mayan linguistics that the syntactically determined basic word order is VOS in Kaqchikel, as in many other Mayan languages. More importantly, the results revealed that the preference for subject-object word order in sentence comprehension observed in previous studies may not be universal; rather, processing load in sentence comprehension is greatly affected by the syntactic nature of individual languages.
Software process models: a review and analysis

Modeling of software process has been a very challenging problem and constantly debated in the software development community in the past 30+ years, largely due to the complex nature of the software development process that involves not only the technical knowledge and skills but also many other factors, such as human, management, quality assessment, and cost. Although the situations of creating software differ greatly from one case to another, there are some common themes shared by many of the situations, and hence various software process models have been emerged to address these common themes. In this paper, we present a review of the software process models commonly used in practice, from traditional to agile, and assessment of these models with metrics and case studies.
Tacit knowledge sharing in online environments: Locating ‘Ba’ within a platform for public sector professionals

This article presents preliminary findings from a larger doctoral study which investigates tacit knowledge sharing and social media use. The results reported here are from a survey completed by members of an online platform that incorporates social media features and enables knowledge sharing amongst public sector professionals in Scotland. There are two main findings from the study explored in this paper. The first relates to the various roles that an online platform may play in the facilitation of tacit knowledge sharing, apparent around learning processes, expertise sharing, problem solving and innovation. The second relates to how social interactions are supported online, allowing discussions among experts to be initiated, fostering collective intelligence and enabling tacit and personal knowledge to become visible, and accessible, while decreasing the time and the effort required. The outcomes of the research additionally suggest that three aspects of the concept of Ba (or space), as proposed by Nonaka and Konno (1998), can be found in online environments. These aspects are Dialoguing/Interacting Ba, Cyber Ba and Exercising Ba.
Biome Breakdown: The Effects of Climate Change on Agriculture in Nigeria and Thailand

This article analyzes how climate change affects the agricultural sectors of Nigeria and Thailand. It focuses on exploring three areas that are critical for agriculture: increases in precipitation variability, increases in long-term surface temperatures, and increases in extreme weather events. The paper shows that these three effects of climate change have widespread and destructive repercussions on agriculture. Based on the available data, Thailand has thus far experienced more significant effects than Nigeria. However, given Nigeria’s lower level of development, Nigeria is more vulnerable to climate change than Thailand. There are some options to alleviate the impact of climate change in both countries, but they do not constitute permanent solutions. Mitigating climate change is the only way to guarantee the food security of these two countries.
Reducing the susceptibility of design-for-delay-testability structures to process- and application-induced variations

Recently, a new type of Design-for-Delay-Testability structure and associated Built-In Self-Test architecture for detecting delay faults in digital high-performance circuits has been proposed. It circumvents the requirement of an expensive high-speed tester. In this paper, the susceptibility of the proposed structure to process- and application-induced variations has been investigated. Due to the critical timing necessary when detecting small delay faults it is crucial to know what to expect from these variations and subsequently reduce their influence.
CONSTRUCTION AND STANDARDIZATION OF A METACOGNITION INVENTORY Voice of Research FOR THE STUDENTS OF SECONDARY SCHOOLS Viral

Metacognition has application for many arenas of school success. The essence of metacognition is awareness of one's cognitive processes, as well as an ability to develop a plan for achieving a goal and evaluating one's effectiveness of reaching that goal. The importance of metacognition for high quality learning and problem solving is widely accepted. For example, experts, as well as possessing deep understanding of their specific subject areas, have also been found to be highly metacognitive.Thus, in the field of educational research, researches regarding metacognition are very useful. In order to understand metacognitive processes better, individual differences in metacognitive activities should be examine. And for that purpose it is necessary to know or identify the level of student's metacognition. key words : Metacognition, Intelligence, Secondary School Students
Measuring the reliability of subject classification by men and machines

Procedures for measuring the consistency of document classification are described. Three subject specialists classified 997 abstracts of psychological reports into one of eleven categories. These abstracts were also mechanically classified by a computer program using a factor-score computational procedure. Each abstract was scored for all categories and assigned to the one with the highest score. The three manual classifications were compared with each other and with the mechanical classifications, and a series of contingency coefficients was computed. The average reliability of manual classification procedures was equal to 870. The correlation between automatic and manual classification was . 766.
A Priori Error Estimates for an hp-Version of the Discontinuous G alerkin Method for Hyperbolic Conservation Laws

A priori error estimates are derived for hp-versions of the finite element method for discontinuous Galerkin approximations of a model class of linear, scalar, first-order hyperbolic conservation laws. These estimates are derived in a mesh-dependent norm in which the coefficients depend upon both the local mesh size h K and a number Pl,which can be identified with the spectral order of the local approximations over each element. The results generalize those of Johnson and Pitkaranta to hp-methods.
The effect of mandibular advancement on signs and symptoms of the temporomandibular joint

Tel: +98-21-84902473 Fax: +98-21-84902473 Email: Sarvikarimi@Yahoo.com Statement of Problem: TMJ disorder is counted as one of the most problem in dentistry treatment with high prevalence. This disorder causes to pain. Since all of the structural defects do not lead to pain, therefore in differential diagnosis of TMD, the signs and symptoms should be considered. Purpose: The purpose of this study is to inspect the effect of mandibular advancement on signs and symptoms of the temporomandibular joint disorders (TMDs). Because of various etiologies of TMJ disorder, the researchers have not reached to agreement yet about the effect of orthognathic surgery on TMJ. Materials and Method: A prospective descriptive trail of 81 patients with the range age between 19 and 31 years old with skeletal Cl II malocclusion that undergoes orthognathic surgery is carried out. For this purpose, the numbers of the male and female were considered to be 26 (32.1%) and 55 (67.9%). The most common features of TMDs are including pain, limitation of mandibular movement and joint sound which are assessed at three times pre surgery, three and six months post surgery. Result: The incidence of TMDs at these three times is statistically analyzed by McNemar test. It is noteworthy that 11.1 % of the patients had TMJ pain pre surgery which changed to 2.5 % in duration of three months and 7.4 % after six months post surgery. The obtained results show that incidence of TMJ pain is greatly reduced at three months post surgery in comparison with pre surgery results (p=0.02). In addition, the average of maximum mouth opening is reported as 47.6, 32.4 and 40.1 (mm) before surgery, three and six months afterwards (significant difference). Click disorder is reported 34.6% before surgery and 12.3% three months and 23.5% six months after surgery which demonstrates the remarkable reduction at time of three months later (p=0.0001) and six months after (p=0.004) in comparison with pre surgery. Conclusion: This study is also illustrated that although orthognathic surgery has no significantly effect on the limitation of maximum mouth opening, it causes to improve the TMJ pain and temporomandibular click of patients with skeletal Cl II malocclusion.
Comparativa del coste computacional del algoritmo de segmentación OTSU en imágenes satelitales utilizando estrategias de paralelización con CUDA

Realizar una comparativa del coste computacional del algoritmo de segmentacion OTSU en imagenes satelitales utilizando estrategias de paralelizacion con CUDA. Evaluar el rendimiento del algoritmo parapelizado. Agregar soporte para el manejo de imagenes satelitales. Verificar la viabilidad del algoritmo para una segmentacion multinivel.