Miracle-dz/UniFAR-FTUs huggingface dataset:
Multidimensional Social Competence, Motivation, and Cyberbullying: A Cultural Approach With Colombian and Spanish Adolescents

International research on the risk and protective factors of cyberbullying focus on individual personality variables and the use of technological devices. However, it is necessary to examine in greater depth the interpersonal context as a factor that may influence cyberbullying and the possible differences between cultures. The objective of this article was to analyze the relationship of influence of two interpersonal variables, multidimensional social competence and social motivation, on cyberaggression and cybervictimization through a cultural study of Spain and Colombia, which will permit generalizing the influence of interpersonal variables on cyberbullying in different cultural settings. The sample consisted of 3,830 secondary school students (50.4% Colombian and 49.6% Spanish). Self-reporting measurement instruments validated with different European samples were used. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed. A model of mutual influence revealing the inverse relationship of normative adjustment and the direct relationship of popularity goals in cyberaggression was obtained. Cybervictimization was explained by the direct influence of prosocial behaviors and avoidance goals and the inverse influence of perceived social efficacy, development goals, and social and normative adjustment. As conclusion, this study demonstrates the homogeneity of the Colombian and Spanish models and the important role that the face-to-face context plays in cyberbullying involvement. This article highlights and supports the design of cyberbullying prevention programs, which requires the inclusion of multidimensional social competence and social goals.
Journal of Information Technology Education Designing Cbt Systems with Errors in Mind: Avoidance, Seeding, and Tolerance

Executive Summary This study attempts to reconcile viewpoints on the role of errors in the design of computer-based training (CBT) systems. From one perspective, errors are detrimental to learning; from another, they can be beneficial. The results of an experiment are presented and discussed. When a CBT system is designed to allow learners to correct their own errors, they learn significantly more than when errors are prevented. When learners are allowed only to correct errors that others have made, they do not learn significantly more than when errors are prevented. Implications for the design of CBT systems and possibilities for future research are considered.
Dependency profiles for software architecture evaluations

In this paper we introduce the concept of a “dependency profile”, a system level metric aimed at quantifying the level of encapsulation and independence within a system. We verify that these profiles are suitable to be used in an evaluation context by inspecting the dependency profiles for a repository of almost 100 systems. Furthermore we outline the steps we are taking to validate the usefulness and applicability of the proposed profiles.
CAD-based Object Recognition for a Sensor/Actor Measurement Robot

Seven institutes of the University of Stuttgart have applied successfully for the funding of a special research field to set up and investigate a multi-sensor measurement robot for industrial close range inspection. The application was preceded by the work of a research group which has shown the feasibility of the approach by setting up a measurement cell which uses optical sensors and actors to identify and gauge industrial objects located in the measurement volume. This paper describes the results that have been obtained so far and were demonstrated during a test run in 1997. It then focuses on our latest developments concerning 3D data acquisition, registration, segmentation, model generation from CAD data and object recognition.
Coffee consumption is inversely associated with depressive status in Japanese patients with type 2 diabetes

Depression has been reported to be more prevalent among diabetic patients than non-diabetic individuals. Although depression and diabetes are causally and bi-directionally related, the influence of food intake frequency on depressive symptoms in diabetic patients has not been fully evaluated. This cross-sectional study analyzed data obtained from 89 patients with type 2 diabetes who completed self-administered questionnaires regarding food intake frequency, diabetic variables, physical activity and depressive states. The prevalence of a “definite” depressive state was 16.9%. The duration of diabetes, hemoglobin A1c levels, diabetic microvascular complications and physical activity levels were similar between depressed and non-depressed patients. Daily intakes of total lipids, n-6 polyunsaturated fatty acids and lipid energy ratios were significantly lower, and the carbohydrate energy ratio was significantly higher in depressed than in non-depressed patients. Coffee consumption was inversely associated with depressive symptoms, but no significant association was found between tea or green tea consumption and depressive symptoms. The logistic regression analysis showed that coffee consumption was an independent predictor of non-depressed status in diabetic patients. This might be due to biologically active compounds containing in coffee other than caffeine.
On the asymptotic statistical behavior of empirical cepstral coefficients

The asymptotic covariance matrix of the empirical cepstrum is analyzed. It is shown that for Gaussian processes, ceptral coefficients derived from smoothed periodograms are asymptotically uncorrelated and their variances multiplied by the sample size tend to unity. For an autoregressive process and its autoregressive cepstrum estimate, somewhat weaker results hold. >
Using Bayes Factors to Test Hypotheses in Developmental Research

This article discusses the concept of Bayes factors as inferential tools that can serve as an alternative to null hypothesis significance testing in the day-to-day work of developmental researchers. A Bayes factor indicates the degree to which data observed should increase (or decrease) the credibility of one hypothesis in comparison to another. Bayes factor analyses can be used to compare many types of models but are particularly helpful when comparing a point null hypothesis to a directional or nondirectional alternative hypothesis. A key advantage of this approach is that a Bayes factor analysis makes it clear when a set of observed data is more consistent with the null hypothesis than the alternative. Bayes factor alternatives to common tests used by developmental psychologists are available in easy-to-use software. However, we note that analysis using Bayes factors is a less general approach than Bayesian estimation/modeling, and is not the right tool for every research question.
Effects of sotalol on T-wave morphology in 24-hour Holter ECG recordings

This article describes the impact of sotalol, a Class III anti-arrhythmic that is known to prolong the QT interval and induce torsades de pointes, on ventricular repolarisation. Timing and T-wave morphology-based biomarkers of ventricular repolarisation are extracted from 24-hour Holter electrocardiogram (ECG) recordings from a clinical sotalol study [1]. The results show sotalol produces a significant dose-dependent increase of QT and T-peak to T-wave end (Tpe) intervals (p &#60; 0.0001). The effect of sotalol tends to significantly increase the morphology-based biomarkers, with the exception of Tarea and T-wave area-based symmetry (TSymA). The morphology based biomarkers are shown to be more sensitive to the effects of sotalol and the maximum effect on morphology biomarkers tends to take place after the maximum effect on the heart rate, QT and Tpe intervals.
Impact of Superoxide Dismutase Mimetic AEOL 10150 on the Endothelin System of Fischer 344 Rats

Endothelin-1 is a potent vasoconstrictor and mitogenic peptide involved in the regulation of vasomotor tone and maintenance of blood pressure. Oxidative stress activates the endothelin system, and is implicated in pulmonary and cardiovascular diseases including hypertension, congestive heart failure, and atherosclerosis. Superoxide dismutase mimetics designed with the aim of treating diseases that involve reactive oxygen species in their pathophysiology may exert a hypotensive effect, but effects on the endothelin system are unknown. Our objective was to determine the effect of the superoxide dismutase mimetic AEOL 10150 on the basal endothelin system in vivo. Male Fischer-344 rats were injected subcutaneously with 0, 2 or 5 mg/kg body weight of AEOL 10150 in saline. Plasma oxidative stress markers and endothelins (bigET-1, ET-1, ET-2, ET-3) as well as lung and heart endothelin/nitric oxide system gene expressions were measured using HPLC-Coularray, HPLC-Fluorescence and RT-PCR respectively. AEOL 10150 reduced (p<0.05) the circulating levels of isoprostane (-25%) and 3-nitrotyrosine (-50%) measured in plasma 2h and 24h after treatment, confirming delivery of a physiologically-relevant dose and the potent antioxidant activity of the drug. The reduction in markers of oxidative stress coincided with sustained 24h decrease (p<0.05) of plasma levels of ET-1 (-50%) and ET-3 (-10%). Expression of preproET-1 and endothelin converting enzyme-1 mRNA were not altered significantly in the lungs. However preproET-1 (not significant) and ECE-1 mRNA (p<0.05) were increased (10–25%) in the heart. Changes in the lungs included decrease (p<0.05) of mRNA for the ET-1 clearance receptor ETB and the vasoconstriction-signaling ETA receptor (-30%), and an early surge of inducible nitric oxide synthase expression followed by sustained decrease (-40% after 24 hours). The results indicate that interception of the endogenous physiological flux of reactive nitrogen species and reactive oxygen species in rats impacts the endothelin/nitric oxide system, supporting a homeostatic relationship between those systems.
Fuzzy Logic Technique for RF Based Localisation System In Built Environment

Localisation for human or robots in built environment is one of impartment issue in many applications. Increasing mobile computing devices, that often require knowing where things are actually placed, can be utilised and can be used in localisation systems. To use such systems, various and different location systems and technologies have been developed. This paper studies the use of the radio frequency signal strength information extracted from a pre-installed wireless network as a localiser sensor to locate a mobile (human) user in built environment. A strategy based on a fuzzy logic technique to estimate the mobile user location in built environment has been investigated
A hexagonal monopole textile antenna for UWB applications

A compact and low profile microstrip fed wearable monopole antenna is proposed for UWB applications. Wearable textile antenna uses hexagonal patch with slot as radiating element and blue jeans as substrate with relative permittivity εr = 1.6, operates in 3.7 GHz to 10.7 GHz. Simulation is done both in free space and near human body. The results show that it provides bandwidth of 7 GHz and good impedance matching.
Effect of telehealth on hospital utilisation and mortality in routine clinical practice: a matched control cohort study in an early adopter site

Objectives To assess the effects of a home-based telehealth intervention on the use of secondary healthcare and mortality. Design Observational study of a mainstream telehealth service, using person-level administrative data. Time to event analysis (Cox regression) was performed comparing telehealth patients with controls who were matched using a machine-learning algorithm. Setting A predominantly rural region of England (North Yorkshire). Participants 716 telehealth patients were recruited from community, general practice and specialist acute care, between June 2010 and March 2013. Patients had chronic obstructive pulmonary disease, congestive heart failure or diabetes, and a history of associated inpatient admission. Patients were matched 1:1 to control patients, also selected from North Yorkshire, with respect to demographics, diagnoses of health conditions, previous hospital use and predictive risk score. Interventions Telehealth involved the remote exchange of medical data between patients and healthcare professionals as part of the ongoing management of the patient's health condition. Monitoring centre staff alerted healthcare professionals if the telemonitored data exceeded preset thresholds. Control patients received usual care, without telehealth. Primary and secondary outcome measures Time to the first emergency (unplanned) hospital admission or death. Secondary metrics included time to death and time to first admission, outpatient attendance and emergency department visit. Results Matched controls and telehealth patients were similar at baseline. Following enrolment, telehealth patients were more likely than matched controls to experience emergency admission or death (adjusted HR 1.34, 95% CI 1.16 to 1.56, p<0.001). They were also more likely to have outpatient attendances (adjusted HR=1.25, 1.11 to 1.40, p<0.001), but mortality rates were similar between groups. Sensitivity analyses showed that we were unlikely to have missed reductions in the likelihood of an emergency admission or death because of unobserved baseline differences between patient groups. Conclusions Telehealth was not associated with a reduction in secondary care utilisation.
Oral vinorelbine in combination with cisplatin: a novel active regimen in advanced non-small-cell lung cancer.

BACKGROUND A phase II trial of alternating i.v. and oral vinorelbine in combination with cisplatin was designed to determine the response rate, safety profile, progression-free survival, overall survival and quality of life (QoL) in advanced non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS Fifty-six chemotherapy-naïve patients received cisplatin 100 mg/m(2) and i.v. vinorelbine 25 mg/m(2) on day 1, followed by oral vinorelbine 60 mg/m(2) on days 8, 15 and 22, every 28 days. RESULTS After an independent review, the response rate was 33% [95% confidence interval (CI) 20% to 46%]. Median progression-free and overall survival were 5.5 months (95% CI 3.7-6.4) and 8.9 months (95% CI 8.8-11.7), respectively. The most frequent hematological toxicities were neutropenia (grade 3-4 in 73% of patients) and anemia (grade 3-4 in 11% of patients). Grade 3-4 infections and non-hematological toxicities occurred occasionally. QoL for lung cancer related symptoms was stable or improved. CONCLUSIONS The efficacy and safety of the alternating vinorelbine schedule (i.v. on day 1, oral on days 8, 15 and 22) in combination with cisplatin in advanced NSCLC are similar to those of the standard regimen using exclusively i.v. vinorelbine, whereas ease of administration and patient comfort may favor the novel approach.
Development of multi-functional robot hand for multi-legged robot

In recent years, various robots have been researched and developed. As a part of them, robots working in dangerous place for human beings are attracted attention. The dangerous places include the outdoor irregular ground or the narrow place mainly, so the robots need to have high moving ability. In addition, It also requires high operational ability as same as human. To satisfying these necessities, multi-legged robots are suitable. In this paper, we design a robot hand for visual inspection equipped with three dimensional force sensing. The designed hand is attached to the tip of legs of multi-legged robot. Furthermore evaluation of a prototype is reported. The reason for the robot hand to be equipped to the tip of multi-legged robot is that it could meet following four requirements. Firstly, the hand system can catch a small object such as bolts and wires. Secondly, a small camera is attached inside the hand for visual inspection. Thirdly, the hand is functioned as a leg point of ASTERISK. Lastly, the hand can equip three dimensional force sensing ability. The developed hand is confirmed to meets these four requirements through the experiments.
Approximate Nash Equilibria 1.1 Introduction 1.2 a Quasi-polynomial Time Approximation Scheme for Nash Equilibrium

The solution concept of Nash equilibrium is vastly influential because intellectually it is useful and neat, and philosophically the fact that every game has a Nash equilibrium is reassuring. However, we have also seen that it is intractible unless PPAD ⊆ P, and this certainly poses a problem to us. Traditionally, there are three types of remedies to the hardness of a problem. The first is to solve interesting special cases. In fact, we have already touched some work in this domain through examples of zero-sum games and separable network games. In this section, we discuss the second remedy, which is to try to find an approximate solution to the problem. We start with the following definition. Definition 1. A strategy profile (x 1 ,. . , x n) is an ï¿¿-approximate Nash equilibrium if for every player i and every action a in the support of x i , E[u i (a, x −i)] ≥ E[u i (b, x −i)] − ï¿¿ for any action b ∈ A i. Certainly, for this definition to make sense, we have to assume that the utility function is normalized (u i (ï¿¿ x) ∈ [0, 1]). Note that ï¿¿ acts additively, in contrast to the common practice in the field of approximation algorithms where ï¿¿ usually acts multiplicatively. In fact, it is known that the multiplicative version is PPAD-complete [1]. An unsatisfactory aspect of this concept is that unlike approximate solutions in most optimization problems, an approximate Nash equilibrium is hardly useful because once it is found, each player immediately knows how they can achieve better payoffs by deviating from it. Thus, an ï¿¿-approximate Nash equilibrium is not a compelling proposal unless ï¿¿ is very small. Thus it becomes an important question whether there is an efficient scheme for approximating Nash equilibria. An optimization problem is said to have a PTAS (polynomial-time approximation scheme) if there exists an algorithm that computes the ï¿¿-approximate solution in time O(n f (1/ï¿¿)). It is said to have a FPTAS (fully polynomial-time approximation scheme) if there exists an algorithm with time complexity O((1/ï¿¿) c n d). In 2006, Chen et al. [2] proved that a FPTAS for Nash equilibria is impossible unless PPAD ⊆ P. Whether there exists a PTAS for this problem still remains to be a major open question. Currently, the smallest value of ï¿¿ for which we have a polynomial algorithm is 0.3393 …
Natural rewriting and narrowing for general term rewriting systems

We address the problem of e(cid:14)cient rewriting and narrowing strategies for general term rewriting systems. Several strategies have been proposed over the last two decades, the most e(cid:14)cient of all being the natural rewriting and narrowing strategies of Escobar. All the strategies so far, including natural rewriting and narrowing, assume that the given term rewriting system is left-linear and constructor-based. Although these restrictions are reasonable for some functional programming languages, they limit the expressive power of equational languages, and they preclude certain applications of narrowing to equational theorem proving and to languages combining equational and logic programming. In this paper, we propose a conservative generalization of natural rewriting and narrowing that does not require the rules to be left-linear and constructor-based. We also establish the soundness and completeness of these generalizations.
Web 2.0 in Healthcare: The Rise of a Fashion Wave? Examining the Discourse in the Literature

Electronic Health (eHealth) increasingly refers to possibilities that arise from the so-called innovation “Web 2.0”. According to management fashion theory, many innovations can be classified as a fashion and only offer minor benefits for organizations. Such fashions have a diffusion and a discourse lifecycle. In this study we shed light on the discourse on Web 2.0 in healthcare. In order to explore how the discourse has emerged, we examine a selection of both the scholarly IS research and practitioner-oriented literature. Our findings show that there is almost no academic discourse on Web 2.0 in healthcare in the IS research literature. In contrast, we find an ongoing discourse on the subject with a wave-like shape in the domainspecific and practitioner-oriented literature. Our findings also provide some arguments for the debate on the link between scholarly IS literature and their practical relevance.
Cycle adaptive feedforward approach control of an electromagnetic valve actuator

An electromagnetic valvetrain on an internal combustion engine can improve the engine thermal efficiency but requires control to achieve soft landing and to avoid excessive wear and noise. Since the valves open and close repetitively, cycle adaptive control can be utilized. A cyclic adaptive feedforward approach controller for automotive electromagnetic valve is presented. This method uses a Nelder-Mead direct search algorithm with the goal of setting constant initial conditions for the landing control. Simulation and testbench results are presented and they show that the approach control works well for disturbances that are slow compared to the valve travel time.
Design and tracking of desirable trajectories in the image space by integrating mechanical and visibility constraints

Since image-based visual servoing is a local feedback control solution, it requires the definition of intermediate subgoals in the sensor space at the task planning level. We describe a general technique for specifying and tracking trajectories of an unknown object in the camera image space. First, physically valid C/sup 2/ image trajectories which correspond to quasi-optimal 3D camera trajectory (approaching as much as possible a straight line) are performed. Both mechanical (joint limits) and visibility constraints are taken into account at the task planning level. The good behavior of image-based control when desired and current camera positions are closed is then exploited to design an efficient control scheme. Real time experimental results using a camera mounted on the end effector of a 6 DOF robot confirm the validity of our approach.
A Formal Algebra Implementation for Distributed Image and Video Stream Processing

We are interested in building scalable computer vision systems for distributed processing of big visual data. We apply data streaming concepts, namely stream algebra operators, which have been proven effective in the database literature. The operators collectively form an algebra over data streams. The algebra has well defined semantics. It naturally describes online computer vision algorithms and their feedback control and tuning algorithms. In this work, we present the first implementation of such algebra at large scale. Our implementation provides a high level programming interface for constructing and executing vision workflow graphs while hiding the data transfer and concurrency details. It also allows feedback control and dynamic reconfiguration of vision algorithms. A case study is discussed showing a streaming workflow for online lane and road boundary detection and describing the flexibility and effectiveness of the algebra for building complex distributed applications.