Miracle-dz/UniFAR-FTUs huggingface dataset:
MULTI-POS: Marie Curie network in multi-technology positioning

The global navigation market (products and services) is expected to exceed 160 billion EUR revenue in 2015 with significant growth being driven by mobile terminals. Future wireless society needs trustworthiness of the wireless positioning device and eco-friendliness of the transmission-reception process. These are triggered by the user requirements, preferences and targeted applications, and by the type of the environment where navigation takes place. A link has been missing between these user needs/environment awareness (or application layer) and the physical layer where the wireless device is actually designed. The missing link can be created by cognitive approaches, borrowed on one hand from cognitive human behavior, and on the other hand from cognitive computing. Building a cognition stage between the application and physical layers creates a myriad of new possibilities for flexible location-based services and positioning-based applications. MULTI-POS training network is bridging the gap between the lower technology layer and upper application layer involved in wireless mobile location. In addition, MULTI-POS offers comprehensive training to young fellows in the broad field of wireless location, creates novel technologies and business models for the future location-enabled wireless devices, promotes the exchange of fellows in mixed academic-industrial R&D trajectories and in multiple European cultures, and will initiate an educational and research framework that unifies the currently fragmented research activities on technological and applications aspects of wireless navigation. There is strong involvement of industrial partners in the network to accomplish all this.
Promise Hierarchies

We show that for any constant a, ZPP/b(n) strictly contains ZPTIME(n)/b(n) for some b(n) = O(log n log log n). Our techniques are very general and give the same hierarchy for all the common promise time classes including RTIME, NTIME ∩ coNTIME, UTIME, MATIME, AMTIME and BQTIME. We show a stronger hierarchy for RTIME: For every constant c, RP/1 is not contained in RTIME(n)/(log n). To prove this result we first prove a similar statement for NP by building on Žák’s proof of the nondeterministic time hierarchy.
Rôle des acteurs économiques dans l’élaboration, la circulation et la mise en œuvre des normes de gouvernance environnementale à l’échelle internationale

La multiplication des régimes internationaux se traduit par l’émergence de « complexes de régimes » qui sont liés à la fois par des interactions institutionnelles et par l’existence de « thématiques croisées » (issue-linkage). Un complexe peut être défini comme « a network of three or more international regimes that relate to a common subject matter; exhibit overlapping membership; and generate substantive, normative, or operative interactions recognized as potentially problematic whether or not they are managed effectively » (Orsini & al., 2013: 29 « un réseau d’au moins trois régimes internationaux qui se rattachent à une même thématique, ont des membres en commun et développent des interactions concernant le fond des politiques, les normes ou les opérations concrètes, interactions qui sont perçues comme sources potentielles de problèmes, qu’elles fassent ou non l’objet d’un traitement approprié »). Chaque complexe portant sur une thématique spécifique s’insère dans un réseau de gouvernance plus large qui inclut d’autres arrangements institutionnels et systèmes de normes. Les chevauchements thématiques entre complexes de régimes et interactions fortuites ou institutionnalisées rendent davantage nécessaire la circulation des normes entre ces régimes. Cette circulation et ses modalités sont l’objet central de cette contribution.
Incorporating 3D-Virtual Reality into Language Learning

The study aims to explore changes in learning outcome after using virtual reality instruments as teaching materials for college English courses, specifically, how digital environment affects the performance and motivation among undergraduates. Virtual reality has been widely applied in education settings. Its interactive interfaces provide students with realistic experiences and simulated everyday situations in a three-dimensional context for more authentic practice. The study focuses on the effect of incorporating Second Life, a virtual reality system, into college English classes. A semiexperiment is conducted in which an experimental group is taught with Second Life system, while the control group receives conventional one-way lectures. Result of the study shows significant improvement in the group of first year students who were taught using virtual characters. In addition, using virtual reality as teaching aids greatly improves students’ performance and motivation. Both the process and the result of the study imply potential benefit in using virtual systems and characters to improve language pedagogy and learner’s motivation respectively. The study proposes that virtual reality be incorporated into advanced English courses as a way to provide contextualized language learning.
Where's Charlie: family based heuristics for peer-to-peer schema integration

Querying semantically related data sources depends on the ability to map between their schemas. Unfortunately, in most cases matching between schemas is still largely performed manually. As a consequence, semantic integration issues have become a key bottleneck in the deployment of a large scale integration systems (the number of schemas to map is huge). This work deals with automated methods for matching and efficiently generating schema mappings in large scale environments. We propose a level-wise algorithm based on a semantic distance to evaluate similarity between schema nodes. However, in a large scale context, computing the semantic distance for every couple of nodes cannot be done. Thus, we proposed family based heuristics (CHARLIE) in order to efficiently generate mappings. Experiments have shown that our approach is very efficient for large scale integration especially in a super peer based architecture and that it is relevant for real datasets.
PENGARUH MOTIVASI BERWIRAUSAHA DAN KEMAMPUAN BERPIKIR KREATIF TERHADAP MINAT BERWIRAUSAHA SISWA TEKNIK PEMESINAN

Penelitian ini bertujuan untuk mengetahui pengaruh motivasi berwirausaha dan kemampuan berpikir kreatif terhadap minat berwirausaha di SMK N 2 Wonosari. Penelitian ini termasuk penelitian expost facto dengan pendekatan kuantitatif. Sampel pada penelitian ini adalah 75 siswa dari populasi 95 siswa kelas XI Teknik Pemesinan. Data penelitian dikumpulkan menggunakan kuesioner, dokumentasi dan wawancara. Data penelitian dianalisis menggunakan analisis regresi sederhana dan berganda. Hasil penelitian menunjukkan bahwa motivasi berwirausaha berpengaruh terhadap minat berwirausaha dengan koefisien determinasi sebesar 24,6%. Kemampuan berpikir kreatif berpengaruh terhadap minat berwirausaha dengan koefisien determinasi 10,1%. Motivasi berwirausaha dan kemampuan berpikir kreatif secara bersama-sama berpengaruh terhadap minat berwirausaha dengan koefisien determinasi 37,3%. This research aimed at finding out the influence s of entrepreneurial motivation and craetive thinking ability on the students’ interest in entrepreneurship at SMK N 2 Wonosari The research is an expost facto research by using quantitative approach . The sample s of this research are 75 students of 95 students in class XI mechanical engineering . The research data were collected by questionnaire, documentation and interview. Research data analyzed using simple and multiple regression analysis. The result shows that there was a n effect in entrepreneurial motivation on the students’ interest in entrepreneurship with the coefficient determination was 24,6 % . T here was a n effect in creative thinking ability on the students’ interest in entrepreneurship with the coefficient determination was 10,1 % . T here was a n effect in entrepreneurial motivation and creative thinking ability on the students’ interest in entrepreneurship with the coefficient determination was 37 ,3%.
Sound Therapy through Quranic Recitation in Dealing with Emotional and Verbal Motor Skills Problems of Children with Autism

Auditory system or neural hearing system is one of the main sensory systems, which has been emphasized several times in the Quran as compared to other systems. Sound therapy, such as music therapy, has assisted stroke patients in regaining part of their affected motor skills/ movements. In a survey study conducted it was reported that recitation and/or listening to the Quran, which concept is similar with music therapy, could reduce the level of stress and increase the level of calmness. Previous study also demonstrated that recitation of Quran could increase the alpha EEG waves, associated with relaxation for normal individuals even though (s)he is unable to read or understand the Quran. It means that the Quran is not only beneficial as the guideline and the main source of Islamic Syariah but its Miracles can also be experienced by listening to the recitations. Sound therapy for Muslims, especially involving reading/ listening of Quran, has been seen as a medium that can help children with autism in stabilizing their emotions and improving their verbal skills. This article is to relate sound therapy, through recitation of Quran, and its importance for individuals with autism. Literature review has been conducted to integrate information from different disciplines, including the traditional Islamic sources (Quran and Hadis) and writings of Islamic scholars.
The Moving Border of the China-Pakistan Economic Corridor

ABSTRACT This article will read the China-Pakistan Economic Corridor (CPEC), whose infrastructure and installations are currently being built across Pakistan, as a moving border-making event which inscribes difference within Pakistan. The article will begin with a discussion of borders and border-making. The discussion will then turn to the different registers of difference that will be created in Pakistan through CPEC. The article will conclude with a speculative look at how Pakistan and the wider region may be impacted once the construction of CPEC is complete.
Fat-Tailed Uncertainty in the Economics of Catastrophic Climate Change

In this article, I revisit some basic issues concerning structural uncertainty and catastrophic climate change. My target audience here are general economists, so this article could also be viewed as a somewhat less technical exposition that supplements my previous work. Using empirical examples, I argue that it is implausible that low-probability, high-negative impact events would not much influence an economic analysis of climate change. I then try to integrate the empirical examples and the theory together into a unified package with a unified message that the possibility of catastrophic climate change needs to be taken seriously.
Calculating ROI for software product lines

Product line engineering has become an important and widely used approach for efficiently developing portfolios of software products. The idea is to develop a set of products as a single, coherent development task from a core asset base (sometimes called a platform), a collection of artifacts specifically designed for use across a portfolio. This approach produces order-of-magnitude economic improvements compared to one-at-a-time software system development. Because the product line approach isn't limited to specific technical properties of the planned software but rather focuses on economic characteristics, high return on investment has become the anthem of the approach's protagonists. Our software product line cost model can calculate the costs and benefits (and hence the ROI) that we can expect to accrue from various product line development situations. It's also straightforward and intuitive.
Effect of dexmedetomidine-etomidate-fentanyl combined anesthesia on somatosensory- and motor-evoked potentials in patients undergoing spinal surgery

This aim of the present study was to evaluate the effects of dexmedetomidine (DEX) on the intraoperative monitoring of somatosensory-evoked potentials (SEPs) and motor-evoked potentials (MEPs) in patients undergoing spinal surgery. A total of 36 patients who received spinal surgery under general anesthesia were randomly divided into two groups (n=18 per group), group C, the test group and group D, the control group, and these groups were subjected to a matching anesthesia induction. In brief, the anesthesia was administered via injection of etomidate and fentanyl; once the patients were unconscious, a laryngeal mask airway (LMA) was inserted, SEPs and MEPs were monitored and the collected data were considered to be basic data. Cisatracurium was subsequently injected and an endotracheal tube (7#) was inserted to replace the LMA. The following procedures were conducted for anesthesia maintenance: Group C, the anesthesia was maintained via target-controlled infusion of etomidate and intermittent injection of fentanyl; and group D, DEX (0.5 μg/kg) was injected over a duration of 10 min and then pumped at a rate of 0.5 μg/kg/h. In the two groups, all of the other drugs used were the same and a muscle relaxant was not administered. The bispectral index was maintained between 45 and 55 during surgery, and the SEPs and MEPs were monitored continuously until the surgery was completed. No significant difference in duration and amplitude of the SEPs (P15-N20) was identified between group C and D (P>0.05). Furthermore, the MEPs were monitored in the two groups at specific durations and no significant difference was observed between the two groups (P>0.05). The SEPs and MEPs were maintained in the patients who were administered with the DEX-etomidate-fentanyl combined anesthesia during spinal surgery.
Evaluating the Effects of Immersive Embodied Interaction on Cognition in Virtual Reality

Virtual reality is on its advent of becoming mainstream household technology, as technologies such as head-mounted displays, trackers, and interaction devices are becoming affordable and easily available. Virtual reality (VR) has immense potential in enhancing the fields of education and training, and its power can be used to spark interest and enthusiasm among learners. It is, therefore, imperative to evaluate the risks and benefits that immersive virtual reality poses to the field of education. Research suggests that learning is an embodied process. Learning depends on grounded aspects of the body including action, perception, and interactions with the environment. This research aims to study if immersive embodiment through the means of virtual reality facilitates embodied cognition. A pedagogical VR solution which takes advantage of embodied cognition can lead to enhanced learning benefits. Towards achieving this goal, this research presents a linear continuum for immersive embodied interaction within virtual reality. This research evaluates the effects of three levels of immersive embodied interactions on cognitive thinking, presence, usability, and satisfaction among users in the fields of science, technology, engineering, and mathematics (STEM) education. Results from the presented experiments show that immersive virtual reality is greatly effective in knowledge acquisition and retention, and highly enhances user satisfaction, interest and enthusiasm. Users experience high levels of presence and are profoundly engaged in the learning activities within the immersive virtual environments. The studies presented in this research evaluate pedagogical VR software to train and motivate students in STEM education, and provide an empirical analysis comparing desktop VR (DVR), immersive VR (IVR), and immersive embodied VR (IEVR) conditions for learning. This research also proposes a fully immersive embodied interaction metaphor (IEIVR) for learning of computati-
Context-Aware Dynamic Resource Allocation for Cellular M2M Communications

While the huge number of machine-to-machine (M2M) devices connects to the LTE system, the bursty random access attempts from them are potential to cause severe random access collisions and degrade the successful probability as well as delay of network connection establishment. To address this issue, current LTE spec has specified access class barring (ACB) and enhanced access barring (EAB), but both methods lack a contention detection method to decide when to activate it as well as a proper way to dynamically adjust the parameter. In this work, we first proposed a contention detection method that can work with current long-term evolution (LTE) standard and is easy to be implemented. To further improve the random access performance in dynamic world, we proposed a context-aware dynamic resource allocation (CADRA) mechanism, which is a two-phase method to resolve random access contention: Phase I for the estimation of random access attempts, and Phase II for resource allocation. By CADRA, high resource efficiency and low random access delay can be achieved without prior knowledge about random access arrival traffic, and thus this approach is competent in diverse applications and scenarios of Internet of Things (IoT). Simulation results show that the proposed contention detection method works great with ACB and EAB. Our proposed CADRA has good performance in resource efficiency and delay while satisfying success probability.
Does a Meditation Protocol Supported by a Mobile Application Help People Reduce Stress? Suggestions from a Controlled Pragmatic Trial

The aim of this study was to examine the efficacy of a 3 week mindfulness inspired protocol, delivered by an Android application for smartphones, in reducing stress in the adult population. By using a controlled pragmatic trial, a self-help intervention group of meditators was compared with a typical control group listening to relaxing music and a waiting list group. The final sample included 56 Italian workers as participants, block randomized to the three conditions. The self-reported level of perceived stress was assessed at the beginning and at the end of the protocol. Participants were also instructed to track their heart rate before and after each session. The results did not show any significant differences between groups, but both self-help intervention groups demonstrated an improvement in coping with stress. Nevertheless, meditators and music listeners reported a significant decrease in average heartbeats per minute after each session. Furthermore, both groups perceived a moderate but significant change in stress reduction perceptions, even if with some peculiarities. Limitations and opportunities related to the meditation protocol supported by the mobile application to reduce stress are discussed.
Laboratory Reliability Testing Design of Solenoid Operated Directional-Control Valves for Industrial Application

To improve the reliability of high-end hydraulic parts for domestic hydraulic industry, a framework of industrial standard is proposed for reliability testing procedures for solenoid operated directional-control valves. Solenoid operated directional-control valve is one of the most basic components, and the experimental standards for directional valve can be an essential reference for reliability testing for other hydraulic components. Based on the design of the hydraulic diagram of reliability testing for solenoid operated directional-control valves, the experiment procedures include stages of preparation, recording, inspections, data collection and the reliability assessment. Reliability assessment can be derived from data by Weibull distribution. Moreover, safety assessment can also be derived from reliability assessment. Finally, future research work directions are outlined.
The SICILIAN Defense: Signature-based Whitelisting of Web JavaScript

Whitelisting has become a common practice to ensure the execution of trusted applications. However, its effectiveness in protecting client-side web application code has not yet been established. In this paper, we seek to study the efficacy of signature-based whitelisting approach in preventing script injection attacks. This includes a recently-proposed W3C recommendation called Subresource Integrity (SRI), which is based on raw text signatures of scripts. Our 3-month long measurement study shows that applying such raw signatures require signature updates at an impractical rate. We then present SICILIAN, a novel multi-layered approach for whitelisting scripts that can tolerate changes in them without sacrificing the security. Our solution comes with a deployment model called progressive lockdown, which lets browsers assist the server in composing the whitelist. Such assistance from the browser minimizes the burden of building the signature-based whitelist. Our evaluation on Alexa's top 500 sites and 15 popular PHP applications shows that SICILIAN can be fully applied to 84.7% of the sites and all the PHP applications with updates to the whitelist required roughly once in a month.SICILIAN incurs an average performance overhead of 7.02%.
An improved KNN text categorization on skew sort condition

KNN is one of most frequent used methods for text categorization. The feature high-dimension and skew of sort distribution will impact the performance of the classifier. An improved KNN based on skew sort condition is introduced in this paper for solving the problem that the big swatch sort with more texts is easy to be selected when conducting the K neighbor selection. Firstly, text feature selection is conducted by an improved information gain method for more efficient using the categorization distribution information in the sample training set. Then an improved KNN classifier based on the sort is used for categorization, which can solve the problem that big swatch sort is selected in training set. The experiment shows this method has improved the KNN classification performance.
A Dynamic Equilibrium Model of Real Exchange Rates with General Transaction Costs ∗

We study the behavior of real exchange rates in a two-country dynamic equilibrium model. In this model, consumers can only consume domestic goods but can invest costlessly in capital stocks of both countries. Nevertheless, transporting goods between the two countries is costly and, hence, the rebalancing of the capital stock can only happen finitely often. We propose a realistic cost structure for goods transportation, wherein the total cost increases with the amount of shipment but the unit cost decreases with it due to economies of scale. Given such a cost structure, the optimal decisions on when and how much to transfer need to be determined jointly. The dual decision depends upon the magnitude of economies of scale, the production technology specifications, and the consumer preferences. The model can reconcile the observed large short-term volatility of the real exchange rate with its slow convergence to parity. Further, the drift and diffusion of the real exchange rate are not uniquely determined by the real exchange rate level. The dynamics of the real exchange rate can only be determined by a joint analysis of the real exchange rate and the underlying economic fundamentals such as the capital stock imbalance between the two countries. JEL Classification Codes: C51, F31, G12, G15.
Crossing Boundaries Online in Romantic Relationships: An Exploratory Study of The Perceptions of Impact on Partners by Cyberstalking Offenders

ABSTRACT As technology has become an ever-present facet in the lives of young people, they have become reliant on it to form and maintain relationships. The present study explored the perceptions of cyberstalking offenders on their own romantic relationships of their offending behaviors utilizing General Theory of Crime and Social Learning Theory. Results indicated that low self-control is a significant predictor of perceiving a negative impact by a victim, such as breaking up the relationship or taking revenge on the offender, as offenders with low self-control do not believe their behaviors would have a negative impact.