Miracle-dz/UniFAR-FTUs huggingface dataset:
A multidisciplinary approach to assess readiness for change in enterprise system implementations

Enterprise systems are information management systems that have broad business functional scope. They provide companies with the ability to improve information flows across the entire organisation enabling improved decision making and action. Although companies face numerous complexities in enterprise system implementations, examination of critical success factors (CSF) has provided insight into successful implementation practices. The main CSFs affecting enterprise system success are people related. In this paper we will identify these factors in the context of change management. A path model is developed incorporating I/O and psychology disciplines demonstrating individual contextual and implementation variables implicated in implementation success. Further, we argue that consideration of antecedents and interactions are essential for understanding change impacts and for development of an effective change management strategy.
Identification of Affective States in MOOCs

Massive Open Online Courses (MOOCs) are a type of online coursewere students have little interaction, no instructor, and in some cases, no deadlines to finisch assignments. For this reason, a better understanding of student affection in MOOCs is importantant could have potential to open new perspectives for this type of course. The recent popularization of tools, code libraries and algorithms for intensive data analysis made possible collect data from text and interaction with the platforms, which can be used to infer correlations between affection and learning. In this context, a bibliographical review was carried out, considering the period between 2012 and 2018, with the goal of identifying which methods are being to identify affective states. Three databases were used: ACM Digital Library, IEEE Xplore and Scopus, and 46 papers were found. The articles revealed that the most common methods are related to data intensive techinques (i.e. machine learning, sentiment analysis and, more broadly, learning analytics). Methods such as physiological signal recognition andself-report were less frequent.
Investigating a stream synchronization middleware for the NEES MAST system

This paper describes the streaming synchronization middleware research conducted while investigating how to provide a collaborative experimentation system for the NEES Multi-Axial Sub-Assemblage Testing (MAST) Experimental setup at the University of Minnesota. Continuous multimedia streams such as those produced by MAST experiments are characterized by well-defined temporal relationships between subsequent media units (MUs). The information present in these streams can only be presented correctly when these time-dependent relationships are maintained during presentation time. Even if these relationships change during transportation (e.g. due to network delays), they need to be reconstructed at the client (sink) before playout. Whereas most previous work addresses synchronization at the application level by modifying the end system, Our goal is to leave the endsystem largely unchange and simply add a new synchronization middleware application control system. This paper presents our three proposed algorithms that ensure the continuous and synchronous playback of distributed stored multimedia streams across a communications network via a middleware controlled commercial media player.
A web-based decision support system for class-teacher timetabling problem

Class-Teacher Timetabling Problem determines weekly timetables for class-teacher pair with respect to certain hard and soft constraints, and institutions’ specific constraints. Group balancing problem aims to create heterogeneous structure within the groups, and homogeneous structure between the groups. In this thesis, mathematical models are developed for class-teacher timetabling problem and group balancing problem frequently encountered during the planning of new semester in educational institutions. Additionally, a web-based decision support system (DSS) is designed for the related problems. As a contribution to this sub-field, this study provides tools to the planners to prepare weekly timetables and class lists in a short time. A mixed-integer model is developed for group balancing problem, and aims to minimize deviation of average score of the generated classes from the general average, and to ensure balanced distribution of students among classes according to gender, international, and repeat status. A binary integer model proposed for class-teacher timetabling problem. This model is formulated as a constraint satisfaction problem with no objective function, but includes general timetabling constraints and specific constraints for the institution. Many educational institutions still prepare timetables manually due to lack of general applicability of customized software. The end-user interface allows planners to use mathematical model instead of manually preparing weekly timetables and class lists. The exclusive contribution of this study is to design a DSS for the end user. The functions of this DSS include data entry, pre-processing of data, solving the problem, and reporting solution. DSS is based on PHP script, and GAMS is used to solve mathematical models. The data from İstanbul Şehir University School of Languages English Preparatory Program (SEPP) is used as a case study to demonstrate operation of the system. Class lists and weekly timetables were successfully created within minutes instead of two days taken manually. SEPP approved the timetables and declared that our system satisfies their requests. Class lists and weekly timetables for Spring 2017 have been planned using our system.
Quality of life in onychomycosis patients at H. Adam Malik General Hospital, Medan - Indonesia, 2016

Background: Onychomycosis describes fungal infection of the nail caused by dermatophytes, non-dermatophytes molds, or yeast. It affects up to 14% of the population worldwide. Although onychomycosis is not a life-threatening condition, the disease does not only appear to be a cosmetic problem, it has been suggested that patient can experience deleterious psychologic effects. Onychomycosis has the psychological, psychosocial, and emotional impact that reduce patient’s quality of life. Objective: To determine the quality of life in onychomycosis
Associations of Health App Use and Perceived Effectiveness in People With Cardiovascular Diseases and Diabetes: Population-Based Survey

Background Mobile health apps can help to change health-related behaviors and manage chronic conditions in patients with cardiovascular diseases (CVDs) and diabetes mellitus, but a certain level of health literacy and electronic health (eHealth) literacy may be needed. Objective The aim of this study was to identify factors associated with mobile health app use in individuals with CVD or diabetes and detect relations with the perceived effectiveness of health apps among app users. Methods The study used population-based Web-based survey (N=1500) among Germans, aged 35 years and older, with CVD, diabetes, or both. A total of 3 subgroups were examined: (1) Individuals with CVD (n=1325), (2) Individuals with diabetes (n=681), and (3) Individuals with CVD and diabetes (n=524). Sociodemographics, health behaviors, CVD, diabetes, health and eHealth literacy, characteristics of health app use, and characteristics of apps themselves were assessed by questionnaires. Linear and logistic regression models were applied. Results Overall, patterns of factors associated with health app use were comparable in individuals with CVD or diabetes or both. Across subgroups, about every fourth patient reported using apps for health-related purposes, with physical activity and weight loss being the most prominent target behaviors. Health app users were younger, more likely to be female (except in those with CVD and diabetes combined), better educated, and reported more physical activity. App users had higher eHealth literacy than nonusers. Those users who perceived the app to have a greater effectiveness on their health behaviors tended to be more health and eHealth literate and rated the app to use more behavior change techniques (BCTs). Conclusions There are health- and literacy-related disparities in the access to health app use among patients with CVD, diabetes, or both, which are relevant to specific health care professionals such as endocrinologists, dieticians, cardiologists, or general practitioners. Apps containing more BCTs had a higher perceived effect on people’s health, and app developers should take the complexity of needs into account. Furthermore, eHealth literacy appears to be a requirement to use health apps successfully, which should be considered in health education strategies to improve health in patients with CVD and diabetes.
6.1.1 Schnelles drahtloses Funknetzwerk mit energieautarken Kommunikationsknoten

1. Kurzfassung: In diesem Beitrag wird ein drahtloses Kommunikationssystem vorgestellt, dass die Anforderungen der Fertigungsautomatisierung in Bezug auf Latenzzeit und Paketfehlerrate erfullt und dessen abgesetzte Sensormodule aus der Energie der Raumbeleuchtung gespeist werden. Es wird erlautert wie durch eine geeignete Auslegung der Basisstations-Hardware und des Kanalzugriffs sowie durch unterschiedliche Betriebsmodi der abgesetzten Kommunikationsknoten ein energieautarker Betrieb realisiert werden kann. Dies konnte in ersten Messungen anhand eines Demonstratorsystem bei einer Auslastung von zwei Ereignissen pro Sensor und Sekunde unter Einhaltung der Latenzzeiten von weniger als 10 ms bei einem Netzwerk mit 400 Kommunikationsknoten belegt werden. 2. Einleitung: Drahtlose Technologien haben in der Zwischenzeit, auch mit Blick auf ihre Zuverlassigkeit, einen hohen Reifegrad erreicht und haben sich infolge dessen in industriellen Umgebungen etabliert. Bisher wurden drahtlose Netzwerke, wie z.B. WirelessHART, vor allem in der Prozessautomatisierung eingesetzt, um abgesetzte Sensoren in relativ grosen Zeitabstanden abzufragen [1]. Drahtlose Technologien konnen allerdings erst dann ihr volles Potential entfalten, wenn auch die Energie zum Betrieb des Sensornetzwerkes drahtlos zur Verfugung gestellt wird. Aufgrund des relativ geringen Kommunikations- und damit Energiebedarfs lasst sich diese Forderung im Bereich der Prozessautomatisierung bereits haufig erfullen. Im Bereich der Fertigungsautomatisierung sind die geforderten Latenzzeiten in der Regel erheblich kurzer. Beispielsweise wurde in den offentlich geforderten Projekten ENAS und MIKOA Latenzzeiten von unter 10 ms fur die Datenerfassung und Datenubertragung vom Sensor bis zur Umsetzung in der SPS gefordert. Dabei darf gleichzeitig die Restfehlerwahrscheinlichkeit des Systems, hier abgekurzt durch SER (System Error Rate), von 10 -9
The oral and the written : Syntax, stylistics and the development of biblical prose narrative

L'A. veut montrer qu'un certain nombre de traits stylistiques de la prose des textes bibliques tient a la difference entre la langue orale et la langue ecrite : •l'utilisation des propositions subordonnees (hypotaxe), •la longueur des suites de noms, •le nombre des constituants syntaxiques explicites dans les propositions, •la frequence de la reference par les pronoms et les particules deictiques
Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition

Direction-based methods are the most powerful and popular palmprint recognition methods. However, there is no existing work that completely analyzes the essential differences among different direction-based methods and explores the most discriminant direction representation of a palmprint. In this paper, we attempt to establish the connection between the direction feature extraction model and the discriminability of direction features, and we propose a novel exponential and Gaussian fusion model (EGM) to characterize the discriminative power of different directions. The EGM can provide us with a new insight into the optimal direction feature selection of palmprints. Moreover, we propose a local discriminant direction binary pattern (LDDBP) to completely represent the direction features of a palmprint. Guided by the EGM, the most discriminant directions can be exploited to form the LDDBP-based descriptor for palmprint representation and recognition. Extensive experiment results conducted on four widely used palmprint databases demonstrate the superiority of the proposed LDDBP method over the state-of-the-art direction-based methods.
Calibration of 3D imaging system based on multi-line structured-light

This paper presents a new and efficient calibration method for line structured-light plane and expand it to the multi-line structured light case.This method only uses the checkerboard as the planar target, and it can move freely as long as the line structure light is projected onto the checkerboard.Combining the process with Zhang’s method of camera calibration,we can get plenty of points which are in the light plane to fit the plane.To be more efficient, this paper propose to project multiple light planes with projector . After the calibration of two of the light planes ,A frame is established at the intersection of the light planes, and then all the pose of the light planes are deduced. Each stripe is encoded by photographing several different stripe images to distinguish which plane the stripes belong to. With the pose of the plane, the 3D-points in the camera coordinate are calculated. The experimental results show that the error of the calibration of one light plane is reduced to less than 1% ,and time is deduced by the multiple light planes
Analysis of Rayleigh, Rician and Nakagami-m fading channel using Matlab Simulation

The fading, which is caused due to multipath propagation in a communication channel, challenges the wireless communication engineer who tries to establish a reliable communication path between transmitter and receiver. An effort has been made to demonstrate the comparison of the Rayleigh , Rician and Nakagami fading channel models by using MATLAB simulation in terms of source velocity and probability density function. We have developed algorithms for above channel, which calculate the Reference signal, Inphase signal ,Quadrature Signal, Envelope Signal, Probability density function . These parameters has play very important role in the performance analysis and design of the digital communication systems over the multipath fading environment. Keywords: wireless Communication, Rayleigh fading, Rician fading, Nakagami-m fading channel.
Joint Weighted Tensor Schatten  $p$ -Norm and Tensor  $l_p$ -Norm Minimization for Image Denoising

In the traditional non-local similar patch-based denoising algorithms, the image patches are firstly flatted into a vector. The structure information within the image patches is ignored; however, the spatial layout information can be used for improving the denoising performance. To solve this problem, this paper treats the image patches as matrices and proposes a low-rank tensor recovery model for image denoising, and thus it makes full use of spatial information within the image. Meanwhile, the proposed model can realize joint weighted tensor Schatten <inline-formula> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula>-norm and tensor <inline-formula> <tex-math notation="LaTeX">$l_{p}$ </tex-math></inline-formula>-norm minimization, which has two advantages: 1) it can deal with zero mean Gaussian noise, impulse noise, and any other noise that can be approximated by mixing these two kinds of noise and 2) the employed norms require relatively weak incoherence conditions than <inline-formula> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula> norm and nuclear norm, and thus they are more robust against outliers and noise. The experimental results show that the proposed algorithm outperforms other state-of-the-art denoising algorithms in both visual perception quality and quantitative measures.
WordNet based Implicit Aspect Sentiment Analysis for Crime Identification from Twitter

Crime analysis has become an interesting field that deals with serious public safety issues recognized around the world. Today, investigating Twitter Sentiment Analysis (SA) is a continuing concern within this field. Aspect based SA, the process by which information can be extracted, analyzed and classified, is applied to tweet datasets for sentiment polarity classification to predict crimes. This paper addresses the aspect identification task involving implicit aspect implied by adjectives and verbs for crime tweets. The proposed hybrid model is based on WordNet semantic relations and Term-Weighting scheme, to enhance training data for (1) Crime Implicit Aspect sentences detection (IASD) and (2) Crime Implicit Aspect Identification (IAI). The performance is evaluated using three classifiers Multinomial Naive Bayes, Support Vector Machine and Random Forest on three Twitter crime datasets. The obtained results demonstrate the effectiveness of WN synonym and definition relations and prove the importance of verbs in training data enhancement for crime IASD and IAI.
Influenza but not rhinovirus viral strain causes exacerbation of a house dust mite driven severe asthma mouse model

RATIONALE: Viruses are known to exacerbate asthma and other respiratory diseases. Our objective was to compare the ability of influenza and rhinovirus viral strains to exacerbate a model of allergic inflammation driven by house dust mite (HDM) in Freund9s Complete Adjuvant (FCA). This model mimics certain aspects of severe asthma (1). METHODS: BALB/c mice were sensitized on day 0 with HDM as previously described (1). On day 14, mice were exposed intranasally (i.n.)to saline or HDM. RV or Influenza strains were administered i.n. 0hrs or 72hrs respectively before HDM challenge. 24hrs post-challenge, non-invasive whole-body plethysmography was used to assess AHR to aerosolised methacholine (MCh). 48hrs after HDM challenge, the bronchoalveolar lavage fluid (BALF) was collected to measure inflammatory cells. RESULTS: Influenza, but not rhinovirus, strain exacerbated BALF neutrophils and macrophages in the HDM challenged animals (table 1). Influenza also significantly exacerbated the AHR associated with MCh challenge. CONCLUSIONS: Influenza, but not rhinovirus, exacerbates the inflammation and AHR in our model of allergic inflammation. This model could be used to investigate new mechanisms of action underlying viral exacerbation in severe asthma and for evaluation of novel therapies for such condition. (1) Nasra J. et al. Am J Respir Crit Care Med 181;2010:A2842.
An Improved Low-Complexity Decoding Algorithms for Non-Binary LDPC Codes in BeiDou Navigation System

The construction and development of BeiDou Navigation Satellite System (BDS) is divided into three parts: BDS-1, BDS-2, and BDS-3 in sequence. The Low-Density Parity-Check (LDPC) code is applied to the BDS-3 navigation system because of its proximity to Shannon limit and the low requirement of energy. Compared with other decoding algorithms, extended Min-Sum (EMS) algorithm has been applied in navigation because it can reduce the computation of check node (CN) and facilitate hardware implementation. However, our study indicates that by calculating the correct probability of the elements in the reliability matrix, the number of candidate elements can be further reduced, thus simplifying the update of the check nodes. In this paper, an improved extended Min-Sum (IEMS) decoding algorithms is used to BDS-3 LDPC codes. Compared with the traditional EMS algorithm, the proposed decoding algorithm has the advantages of less computation and higher decoding efficiency. To verify the complexity and performance of the IEMS, the complexity and Bit Error Rate (BER) of the proposed decoding algorithm in BeiDou are studied and discussed. The simulation results show that the number of CN operations in the IEMS algorithm is only 40% times as much as that of EMS. It indicates that the IEMS decoding algorithms can be a good candidate for BDS-3 LDPC codes.
Cryptanalysis of A Hierarchical Data Access and Key Management in Cloud Computing

One of major applications in cloud computing is cloud storage service. It’s an important research issue to protect the stored data from illegal access by the system manager in the Cloud. To encrypt entire file by using data owner’s secret keys is the simple solution. However it will raise a key management problem. To solve this problem, Hwang and Sun proposed a hierarchical key management scheme. In their scheme, the data owner could change the encryption key more easily, and not to affect other users in Cloud Storage Service system. However, we find that some weaknesses of their scheme. In this article, we will show some weaknesses of their scheme.
Design and analysis of high-performance motors with partitioned-stator topology for hybrid electric vehicles

ABSTRACT In this paper, three advanced partitioned-stator flux-switching (PS-FS) motors with different topologies, namely the PS-FS permanent-magnet (PS-FSPM), the magnetless PS-FS direct-current (DC)-field (PS-FSDC), and the hybrid PS-FS hybrid-excitation (PS-FSHE) motors are carefully compared. Upon the employment of high-energy-density PM materials, the PS-FSPM motor can provide superior torque and power performances. Meanwhile, the magnetless PS-FSDC motor can instead offer better cost-effectiveness and higher flux-regulating capability. By incorporating two excitation sources, the hybrid PS-FSHE motor can therefore enjoy the advantages from both extreme sides. All the proposed PS motors are highly desirable for the hybrid electric vehicle (HEV) applications, while all of their key performances are analysed and compared with the profound Toyota Prius HEV motor.
Customer adaptive communication services

A direction for the development of future customer adaptive communication services that seeks to deal with the complexity of these services by making them more adaptive to the individual user is presented. User modeling, the process of construction of computational models of users, is described. The promises of customer adaptive services are explored by means of two current research projects: a personal news reader and an audio tutorial for advanced telephony services. Personal information filtering which aims to reduce the volume of electronic form news information by establishing personal interest profiles based on user modeling is also discussed. <<ETX>>
Health Provider Characteristics and Choice of Health Care Facility among Ghanaian Health Seekers

Abstract —Although largely controlled by government, Ghana's health delivery system has witnessed dramatic growth in private sector participation. This growth is important for consumers of health care because it provides a wide range of choices, while informing health providers, through consumer feedback, of the quality indicators relevant for improving their services. For consumers of health care, measuring and monitoring quality based on health provider characteristics is crucial to making appropriate choices, especially because these have implications for morbidity, mortality, and longevity. There is limited research in sub-Saharan Africa, and Ghana in particular, that examines how health provider characteristics associate with choice of health facility. Using recently collected data from the Ghana Demographic and Health Survey and employing random intercept models, we fill this research void. Results showed that Ghanaian men and women who were satisfied with wait time at the health facility were significantly more likely to have visited private health facilities compared to public health facilities. Similarly, Ghanaian women who appeared satisfied with conditions at the health facility and accessibility of the health facility were significantly more likely to have visited private hospitals compared to public hospitals. This study provides important evidence to policy makers and major stakeholders in the public health sector of the need for quality adjustments and the relevance of improving health care delivery in the public health facilities.