Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding shortcut gestures on mobile touch devices

Touch gestures become steadily more important with the ongoing success of touch screen devices. Compared to traditional user interfaces, gestures have the potential to lower cognitive load and the need for visual attention. However, nowadays gestures are defined by designers and developers and it is questionable if these meet all user requirements. In this paper, we present two exploratory studies that investigate how users would use unistroke touch gestures for shortcut access to a mobile phone's key functionalities. We study the functions that users want to access, the preferred activators for gesture execution, and the shapes of the user-invented gestures. We found that most gestures trigger applications, letter-shaped gestures are preferred, and the gestures should be accessible from the lock screen, the wallpaper, and the notification bar. We conclude with a coherent, unambiguous set of gestures for the 20 most frequently accessed functions, which can inform the design of future gesture-controlled applications.
Job Satisfaction of Secondary School Teachers in Relation to Personality and Emotional Intelligence

The objective of the study is to investigate the effect of personality and emotional intelligence on job satisfaction. Entire secondary school teachers working under West Bengal Board of Secondary Education (WBBSE) are considered as population. The survey sample included 888 secondary school teachers. Job satisfaction scale (JSS), emotional intelligence inventory (EII), both developed and standardized by the investigators and culturally adapted big five inventory (BFI) were used to collect from samples. Result revealed that high emotional intelligent teacher possesses high level of satisfaction than that average as well as low level emotional intelligent teacher. It is also observed that conscientious and agreeable teachers are highly satisfied with their teaching job whereas neurotic teachers did not satisfied with their teaching job.
Using Mindfulness Techniques to Improve Student Wellbeing and Academic Performance for University Students: A Pilot Study

This paper examines the effectiveness of a three week mindfulness group program as a tool for improving academic performance, managing study stress and improving overall well-being. A mindfulness based approach was chosen due to its effectiveness in reducing stress as well as improving psychological wellbeing and working memory in various groups of university students. Evaluations from students over a three year period have consistently reported improved life and study skills across a number of areas, including capacity to manage stress and to stay more present. They also reported increased focus and improved sleep. The outcomes demonstrate an effective and innovative way to support student learning and wellbeing as well as providing students with a non-threatening way to engage with the counselling service.
(Re)Examining the Socratic Method: A Lesson in Tutoring

In a recent blog post on the University of Wisconsin writing center’s webpage, Matthew Capdevielle asserts that it has become common to describe writing center methods as Socratic. In fact, writing center professionals have embraced the Socratic Method for quite some time. In his classic and agenda-setting article, “The Idea of a Writing Center,” North writes: If writing centers are going to finally be accepted, surely they must be accepted on their own terms as places whose primary responsibility, whose only reason for being, is to talk to writers. That is their heritage, and it stretches… back, in fact, to Athens where in a busy marketplace a tutor called Socrates set up the same kind of shop: open to all comers, no fees charged, offering, on whatever subject a visitor might propose, a continuous dialectic that is, finally, its own end. (North 46) While Capdevielle and North are right to make some connections between writing center practices and the Socratic Method, I nevertheless wonder just how Socratic our methods are or should be.
An Investigation of the Android/BadAccents Malware which Exploits a new Android Tapjacking Attack

We report on a new threat campaign, underway in Korea, which infected around 20,000 Android users within two months. The campaign attacked mobile users with malicious applications spread via different channels, such as email attachments or SMS spam. A detailed investigation of the Android malware resulted in the identification of a new Android malware family Android/BadAccents. The family represents current state-of-the-art in mobile malware development for banking trojans. In this paper, we describe in detail the techniques this malware family uses and confront them with current state-of-the-art static and dynamic code-analysis techniques for Android applications. We highlight various challenges for automatic malware analysis frameworks that significantly hinder the fully automatic detection of malicious components in the mal- ware. Furthermore, the malware exploits a previously unknown tapjacking vulnerability in the Android operating system, which we describe in detail. As a result of this work, the vulnerability, affecting all Android versions, has been patched in the Android Open Source Project.
Personality requirements in requirement engineering of web development: A systematic literature review

Personality requirement is a key factor for the success of software development. In order to doing requirement engineering for web development, some human personality should be considered. In fact, Personality represents some human factors such as human, ability human behavior and human capital which will be discussed in this paper. Therefore, these factors were distinguished and presented as an effective element of software development and subsequently web development in this research. Knowing these components assist the developer to have a better view on the project. This paper review some selected paper in research are of requirement engineering and human personality. A major result of this paper is a categorization of Personality of human that usually ignored in the project and they cause the problem in project to improving the success of web development.
A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability

Heart rate variability (HRV), the change in the time intervals between adjacent heartbeats, is an emergent property of interdependent regulatory systems that operate on different time scales to adapt to challenges and achieve optimal performance. This article briefly reviews neural regulation of the heart, and its basic anatomy, the cardiac cycle, and the sinoatrial and atrioventricular pacemakers. The cardiovascular regulation center in the medulla integrates sensory information and input from higher brain centers, and afferent cardiovascular system inputs to adjust heart rate and blood pressure via sympathetic and parasympathetic efferent pathways. This article reviews sympathetic and parasympathetic influences on the heart, and examines the interpretation of HRV and the association between reduced HRV, risk of disease and mortality, and the loss of regulatory capacity. This article also discusses the intrinsic cardiac nervous system and the heart-brain connection, through which afferent information can influence activity in the subcortical and frontocortical areas, and motor cortex. It also considers new perspectives on the putative underlying physiological mechanisms and properties of the ultra-low-frequency (ULF), very-low-frequency (VLF), low-frequency (LF), and high-frequency (HF) bands. Additionally, it reviews the most common time and frequency domain measurements as well as standardized data collection protocols. In its final section, this article integrates Porges' polyvagal theory, Thayer and colleagues' neurovisceral integration model, Lehrer et al.'s resonance frequency model, and the Institute of HeartMath's coherence model. The authors conclude that a coherent heart is not a metronome because its rhythms are characterized by both complexity and stability over longer time scales. Future research should expand understanding of how the heart and its intrinsic nervous system influence the brain.
UvA-DARE ( Digital Academic Repository ) Supporting life-long competence development using the TENCompetence infrastructure : a first experiment

This paper describes an experiment to explore the effects of the TENCompetence infrastructure for supporting lifelong competence development which is now in development. This infrastructure provides structured, multi-leveled access to learning materials, based upon competences. People can follow their own learning path, supported by a listing of competences and their components, by competence development plans attached to competences and by the possibility to mark elements as complete. We expected the PCM to have an effect on (1) control of participants of their own learning, and (2) appreciation of their learning route, (3) of the learning resources, (4) of their competence development, and (5) of the possibilities of collaboration. In the experiment, 44 Bulgarian teachers followed a distance learning course on a specific teaching methodology for six weeks. Part of them used the TENCompetence infrastructure, part used an infrastructure which was similar, except for the characterizing elements mentioned above. The results showed that in the experimental condition, more people passed the final competence assessment, and people felt more in control of their own learning. No differences between the two groups were found on the amount and appreciation of collaboration and on further measures of competence development.
HDR image tone mapping using histogram adjustment adapted to human visual system

Tone-mapping operators are used to produce low dynamic range versions of the high dynamic range images, while preserving as much details as possible. We have proposed a tone-mapping operator which is built on an existing histogram adjustment technique. It incorporates certain characteristics of the human visual system, to restrain the problem of extreme contrast enhancement of certain segments and intensive compression of others, associated with histogram equalization based techniques. Test results show significant improvement over traditional histogram adjustment. The proposed method also does quite well compared to the other state of the art tone-mapping operators.
High Dynamic Control a PWM Rectifier under Unbalanced Voltage Supply with Deadbeat Current Controllers

In this paper, a control scheme of a three phase PWM boost rectifier using two parallel current deadbeat controllers is proposed. An unbalanced three-phase system produces the second order oscillation of the main frequency in DC link voltage. Two separated positive and negative sequence synchronous reference frames are applied. By using a notch filter to delete the second order harmonic on each frame, the remaining current components appear as DC parts, which are then processed by the inner control loop. Since the deadbeat digital controller has been proved itself a good solution with fast response, full digitalization, especially for applications based on Microcontroller or DSP, the inner current controllers are here implemented by deadbeat technique instead of conventional PI controllers. Simulation results with Matlab/Simulink/Plecs are also presented to demonstrate the control scheme
Hybrid Intrusion Detection Method Based on Improved Bisecting K-Means in Cloud Computing

Compared with traditional IT infrastructure, cloud computing system has many new features, such as virtualization and data outsourcing. The new architecture brings about higher resource utilization, and also introduces a number of new security risks. Therefore we need to study new intrusion detection technology suitable to cloud computing environment to address these risks. Aiming at characteristics and security challenges of cloud computing, and based on silhouette coefficient and partitioned clustering subspace method to improve the bisecting K-means unsupervised learning method, this paper proposes a hybrid distributed intrusion detection method capable of detecting both known and unknown attacks simultaneously. The method can obtain the value of initial cluster center more stably, and generate cluster center table of intrusion detection engine, reduce false positive rates and false negative rates of known attacks, achieve unknown attack detection, and accelerate the speed of intrusion detection. At last, it has simulation experiments aimed at this method, and analyzes test results compared with standard K-means algorithm, and shows good practical value of this method.
An essential role of acetylcholine-glutamate synergy at habenular synapses in nicotine dependence

A great deal of interest has been focused recently on the habenula and its critical role in aversion, negative-reward and drug dependence. Using a conditional mouse model of the ACh-synthesizing enzyme choline acetyltransferase (Chat), we report that local elimination of acetylcholine (ACh) in medial habenula (MHb) neurons alters glutamate corelease and presynaptic facilitation. Electron microscopy and immuno-isolation analyses revealed colocalization of ACh and glutamate vesicular transporters in synaptic vesicles (SVs) in the central IPN. Glutamate reuptake in SVs prepared from the IPN was increased by ACh, indicating vesicular synergy. Mice lacking CHAT in habenular neurons were insensitive to nicotine-conditioned reward and withdrawal. These data demonstrate that ACh controls the quantal size and release frequency of glutamate at habenular synapses, and suggest that the synergistic functions of ACh and glutamate may be generally important for modulation of cholinergic circuit function and behavior. DOI: http://dx.doi. org/10.7554/eLife.11396. 001
j k l Repel Connection Avoid ρ 2 ρ 1 ρ 0 Attract Discernment

In this paper, we consider the problem of controlling the interactions of a group of mobile agents, subject to a set of topological constraints. Assuming proximity-limited inter-agent communication, we leverage mobility, unlike prior work, to enable adjacent agents to interact discriminatively, that is, to actively retain or reject communication links on the basis of constraint satisfaction. Specifically, we propose a distributed scheme consisting of hybrid controllers with discrete switching for link discrimination, coupled with attractive and repulsive potentials fields for mobility control, where constraint violation predicates form the basis for discernment. We analyze the application of constrained interaction to two canonical coordination objectives, aggregation and dispersion, with maximum and minimum node degree constraints, respectively. For each task, we propose predicates and control potentials, and we examine the dynamical properties of the resulting hybrid systems. Simulation results demonstrate the correctness of our proposed methods and the ability of our framework to generate topology-aware coordinated behavior.
Working memory deficits in neurodevelopmental disorders

Resumen: El presente articulo es una revision sistematica que busca presentar el estado actual de este proceso cognitivo en los diferentes trastornos del neurodesarrollo, se retomo el constructo de memoria operativa de Baddeley y Hitch (1974), teniendo en cuenta su desarrollo, los sistemas que lo componen y las diferentes funciones que realiza este proceso cognitivo en el ser humano.Seguido de esto se continua con la presentacion de los diferentes trastornos del neurodesarrollo segun el Manual Diagnostico y Estadistico de los Trastornos Mentales y la prevalencia de estos en Colombia. Por ultimo, se analizara la memoria operativa en cada trastorno del neurodesarrollo, cuales son los componentes mas afectados en cada uno de ellos y las posibles causas que se ven asociadas a la alteracion.AbstractThis review paper aims to show the current status of the cognitive domain in different neurodevelopmental disorders. As the working memory temporarily stores information to achieve shortterm and immediate objectives, we are going to use the working memory construct by Baddeley and Hitch taking into account, its development, different systems and functions related to the cognitive process of the human being. Furthermore, we will submit different neurodevelopmental disorders based on the Diagnostic and Statistical Manual of Mental Disorders data and its prevalence in Colombia. Lastly, the working memory in each neurodevelopmental disorders, explaining which components are affected the most and the possible causes for such alterations will be analyzed.
Dynamic capabilities for entrepreneurship and innovation in marketing-driven organisations

This paper uses recent developments in the dynamic resource-based view of the firm to construct a capabilities framework that proposes how an organisation can pursue specific market outcomes. The framework supports a critical evaluation of extant research in the separate fields of entrepreneurship and innovation in marketing-driven organisations, illuminating common weaknesses whose nature suggests that there should be a significant shift in methodology if future research in these separate fields is to converge. The proposed shift is from a macro, firm-focused view of 'what firms are', to a micro-level processes view of 'what firms do', and calls for a more qualitative, ethnographic approach in place of statistical analyses of quantitative survey data.
Sound-event partitioning and feature normalization for robust sound-event detection

The ubiquitous of smartphones has opened up the possibility of mobile acoustic surveillance. However, the continuous operation of surveillance systems calls for efficient algorithms to conserve battery consumption. This paper proposes a power-efficient sound-event detector that exploits the redundancy in the sound frames. This is achieved by a sound-event partitioning (SEP) scheme where the acoustic vectors within a sound event are partitioned into a number of chunks, and the means and standard deviations of the acoustic features in the chucks are concatenated for classification by a support vector machine (SVM). Regularized PCA-whitening and L2 normalization are applied to the acoustic vectors to make them more amenable for the SVM. Experimental results based on 1000 sound events show that the proposed scheme is effective even if there are severe mismatches between the training and test conditions.
On-line and Off-line Chinese-Portuguese Translation Service for Mobile Applications

We describe a Chinese-Portuguese translation service, which is integrated in an Android application. The application is also enhanced with technologies such as Automatic Speech Recognition, Optical Character Recognition, Image Retrieval, and Language Detection. This mobile translation application, which is deployed on a portable device, relies by default on a server-based machine translation service, which is not accessible when no Internet connection is available. For providing translation support under this condition, we have developed a contextualized off-line search engine that allows the users to continue using the application. The system includes a search engine that is used to support our Chinese-Portuguese machine translation services when no Internet connection is available.
Automated Facial Expression Recognition System

Heightened concerns about the treatment of individuals during interviews and interrogations have stimulated efforts to develop “non-intrusive” technologies for rapidly assessing the credibility of statements by individuals in a variety of sensitive environments. Methods or processes that have the potential to precisely focus investigative resources will advance operational excellence and improve investigative capabilities. Facial expressions have the ability to communicate emotion and regulate interpersonal behavior. Over the past 30 years, scientists have developed human-observer based methods that can be used to classify and correlate facial expressions with human emotion. However, these methods have proven to be labor intensive, qualitative, and difficult to standardize. The Facial Action Coding System (FACS) developed by Paul Ekman and Wallace V. Friesen is the most widely used and validated method for measuring and describing facial behaviors. The Automated Facial Expression Recognition System (AFERS) automates the manual practice of FACS, leveraging the research and technology behind the CMU/PITT Automated Facial Image Analysis System (AFA) system developed by Dr. Jeffery Cohn and his colleagues at the Robotics Institute of Carnegie Mellon University. This portable, near real-time system will detect the seven universal expressions of emotion (figure 1), providing investigators with indicators of the presence of deception during the interview process. In addition, the system will include features such as full video support, snapshot generation, and case management utilities, enabling users to re-evaluate interviews in detail at a later date.
Intellectual disability sport and Paralympic classification

Sometimes it might seem that elite disability sport, especially as represented by the Paralympic Movement, is only for athletes with an amputation, or a spinal cord injury, or cerebral palsied or blind athletes, rather than for athletes with an intellectual disability (ID). However, after we set out the various opportunities open to ID athletes, that offer different kinds of sporting engagement, we find interesting and alarming issues with respect to the elite competitive event offer for athletes with ID. In this paper, we discuss the following: the problem of inclusion, some concerns that arise in the classification of paralympic athletes such as self-declaration and eligibility, the open nature of ID sports competition, and the sport offer available for these athletes.
Automatic Page Turning for Musicians via Real-Time Machine Listening

We present a system that automatically turns the pages of the music score for musicians during a performance. It is based on a new algorithm for following an incoming audio stream in real time and aligning it to a music score (in the form of a synthesised audio file). Precision and robustness of the algorithm are quantified in systematic experiments, and a demonstration using an actual page turning machine built by an Austrian company is described.
Secure multiple linear regression based on homomorphic encryption

We consider the problem of linear regression where the data are split up and held by different parties. We conceptualize the existence of a single combined database containing all of the information for the individuals in the separate databases and for the union of the variables. We propose an approach that gives full statistical calculation on this combined database without actually combining information sources. We focus on computing linear regression and ridge regression estimates, as well as certain goodness of ﬁt statistics. We make use of homomorphic encryption in constructing a protocol for regression analysis which adheres to the deﬁnitions of security laid out in the cryptography literature. Our approach provides only the ﬁnal result of the calculations, in contrast with other methods that share intermediate values and thus present an opportunity for compromise of privacy. We perform an experiment on a dataset extracted from the Current Population Survey, with 51,016 cases and 22 covariates, to show that our approach is practical for moderate-sized problems.