Miracle-dz/UniFAR-FTUs huggingface dataset:
Identifying commonalities and differences in personality characteristics of Internet and social media addiction profiles: traits, self-esteem, and self-construal

ABSTRACT Excessive use of the Internet and social media has been associated with behavioural addiction, which sparked the researchers’ interest in gaining a better understanding of this global phenomenon. The aim of this study was to fill a gap in knowledge by using just one sample to identify similarities and differences in relationships between technology addictions and personality characteristics, especially traits, self-esteem, and self-construal. The sample consisted of 512 undergraduate students. The results showed that Internet addiction and social media addiction shared many more similarities than differences. Agreeableness, conscientiousness, openness to experiences, emotional stability, self-esteem, the frequency of checking account, and Internet usage were predictors of both Internet addiction and social media addiction. Age, satisfaction with life, and interdependent self-construal did not predict Internet addiction or social media addiction, whereas real self and extraversion predicted Internet addiction only, and gender, posting updates, a number of friends, and independent self-construal predicted social media addiction only. These results provide some basis for an understanding of Internet and social media addiction profiles.
Using e-portfolio for learning goal setting to facilitate self-regulated learning of high school students

ABSTRACT This study aims to explore the influence of using e-portfolio for learning goal setting on self-regulated learning. The subjects were 40 second-year students (18 males and 22 females) taking the ‘Webpage Design’ course of the Department of Information Technology in a vocational high school. The experimental teaching lasted for ten weeks, and the students used e-portfolio for learning goal setting. The t-test result showed that the students’ self-regulated learning after using e-portfolio for learning goal setting is better than that before goal setting. The regression result showed that goal setting performance significantly and positively influences self-regulated learning. In other words, having goal setting or better goal setting leads to better self-regulated learning. Finally, limitation and recommendations for future work are proposed.
A survey and comparison on overlay‐underlay mapping techniques in peer‐to‐peer overlay networks

Peer‐to‐peer (P2P) overlay networks were developed initially for file sharing such as Napster and Gnutella; but later, they have become popular for content sharing, media streaming, telephony applications, etc. Underlay‐unawareness in P2P systems can result in suboptimal peer selection for overlay routing and hence poor performance. In this paper, we present a comprehensive survey of the research work carried out to solve the overlay‐underlay mapping problems up till now. The majority of underlay‐aware proposals for peer selection focus on finding the shortest overlay routes by selecting nearest nodes according to proximity information. Another class of approaches is based on passive or active probing for provision of underlay information to P2P applications. Some other optimizations propose use of P2P middleware to extract, process, and refine underlay information and provide it to P2P overlay applications. Another class of approaches strive to use ISPs or third parties to provide underlay information to P2P overlay applications according to their requirements. We have made a state‐of‐the‐art review and comparison for addressing the overlay‐underlay mismatch in terms of their operation, merits, limitations, and future directions.
Factors affecting reposting behaviour using a mobile phone-based user-generated-content online community application among Chinese young adults

ABSTRACT Mobile phone-based user-generated-content (UGC) online community applications have gained increasing popularity among young generations. However, factors that may affect usage behaviour regarding the applications are not fully investigated. In this study, we employed the Technology Acceptance Model as the basis to explore factors that are able to predict user reposting behaviour with the applications. University students (N = 322) completed a self-reported questionnaire for measuring the studied constructs after they experienced a high-fidelity prototype of a mobile UGC online community application. Results from path analysis demonstrated that perceived usefulness and attitude towards usage were significant determinants of user reposting intention, with 23% of its variance explained. Perceived usefulness, perceived ease of use and information credibility directly predicted attitude towards usage and accounted for 45% of its variance. Perceived ease of use exerted influence on both perceived usefulness and information credibility. The findings can enhance our understanding of factors that contribute to user reposting behaviour and provide insight into design and implementation strategies to increase the likelihood of user intention to repost information using mobile UGC online community applications.
Arrangements of Homothets of a Convex Body II

A family of homothets of an o-symmetric convex body K in d-dimensional Euclidean space is called a Minkowski arrangement if no homothet contains the center of any other homothet in its interior. We show that any pairwise intersecting Minkowski arrangement of a d-dimensional convex body has at most 2*3^d members. This improves a result of Polyanskii (Discrete Mathematics 340 (2017), 1950--1956). Using similar ideas, we also give a proof the following result of Polyanskii: Let K_1,. ,K_n be a sequence of homothets of the o-symmetric convex body K, such that for any i
Egyptian Sarcophagi and Mummies in the San Diego Museum of Man: Some Technical Studies

ABSTRACT Nine ancient Egyptian sarcophagi of the twenty-fifth to twenty-sixth dynasty, one Ptolemaic Hawk Mummy, and one Amarna fresco were examined in the collections of the San Diego Museum of Man. Binding media, pigments, wood identification, deterioration and alteration products were identified. The pigment palette represents the basic suite of ancient Egyptian pigments: charcoal black, red ochre, yellow ochre, Egyptian blue, green earth, calcite, and gypsum. In the case of the Hawk mummy, oxammite was identified as a degradation product, together with magnesium phosphate, the first identification of oxammite in ancient artefacts. In a child’s coffin, realgar and orpiment were additionally identified. The binding media for practically all of the coffins studied was confirmed as gum Arabic with only one example of gum tragacanth found from a wall plaque from Amarna. Wood identification showed that Ficus sycomorus had been used, rather than the assumed cedar of Lebanon for coffin manufacture. One unidentified species of shrubby wood was also found. Some of the coffins had been restored, with one having a completely repainted face, in rutile, and the child’s coffin has an attached foot-box with modern screws. Possible indications of ancient reuse were found during the study.
Privacy-Preserving and Dynamic Authentication Scheme for Smart Metering

Smart grid has emerged as the next generation of power grid, as a result, the smart meter technology has developed rapidly. However, smart meter faces some critical security challenges such as insuﬃcient authentication and user privacy disclosure. To cope with these challenging issues, a privacy-preserving and dynamic authentication scheme based on Chinese residual theorem is proposed. In the proposed scheme, the smart grid is combined with cloud computing, which solves the problem of key leakage and reduces the burden of data processing in smart grid. Speciﬁcally, the proposed scheme not only implements the smart meter authentication, but also makes it impossible for both internal and external attackers to associate the real identity of users with their real-time power. In addition, our scheme supports the dynamic update of smart meter authentication conditions. Compared with the existing schemes, the proposed scheme has higher security and lower communication overhead.
Building presence in an online shopping website: the role of website quality

ABSTRACT This study explores how sellers’ website quality influences buyers’ perceived presence, which in turn affects website identification and purchase intention. The results of a conceptual model, with data collected from TaoBao, demonstrate that information and service quality are positively related to social presence, and system and service quality are positively related to telepresence. Furthermore, information and service quality increase website identification, but system quality does not. Finally, social presence positively affects website identification and purchase intention, while telepresence only positively affects website identification. These results bridge the research gap about the formation of presence in an online shopping context.
Effects of video-based flipped class instruction on subject reading motivation

Video‐based flipped class instruction can strengthen the learning motivation of students. The effectiveness of flipped class instruction on teaching effectiveness and subject satisfaction has been evaluated previously. The present study aims to examine the impact of two aspects of subject reading motivation. A total of 100 secondary school students were recruited from 4 classes of 25 students (ie, video‐based flipped Mathematics class, traditional Mathematics class, video‐based flipped Liberal Studies (LS) class and traditional LS class) in two local secondary schools. The same teachers taught both the traditional and video‐based flipped classes in their subject. The students filled in questionnaires which measured: motivation for general reading; motivation for subject reading; academic subject satisfaction and perceived teaching effectiveness of the teachers. Analysis of covariance controlling for motivation for general reading revealed that students in the flipped classes reported significantly lower motivation for subject reading including reading curiosity, reading importance and reading compliance (t (1,98) = 10.52, p < 0.001; t (1,98) = 7.68, p < 0.001; t (1,98) = 20.39, p < 0.001, respectively). However, students in the flipped classes reported significantly higher satisfaction and teaching effectiveness than those in the traditional classes (t (1,98) = −15.61. p < 0.001; t (1,98) = −11.98, p <0.001, respectively). A partial correlation controlling for motivation for general reading indicated that motivation for subject reading was negatively associated with academic subject satisfaction and perceived teaching effectiveness of teachers (rs ranged from −0.51 to −0.62, p < 0.001). Video‐based flipped class instruction was not only related to increased academic subject satisfaction and teaching effectiveness but also associated with lower motivation for subject reading. These findings suggest that video‐based flipped class instruction had limited capability to strengthen the learning motivation of students. [ABSTRACT FROM AUTHOR]
5G-Based Systems Design for Tactile Internet

Tactile internet is defined as a network that offers a response to a physical process or an object in perceived real time. The development of new radio (NR) and long-term evolution (LTE) technologies with tailored high-reliability and low-latency design is expected to reliably transmit data in milliseconds, leading to the promising realization of tactile internet with applications in areas such as factory automation, education, gaming, and healthcare. In this paper, from a physical layer and medium-access control (PHY/MAC) perspective, we discuss the systems design of ultrareliable and low-latency communications (URLLC) in NR and LTE technologies, both belonging to the fifth-generation (5G) wireless technologies. Motivated by the safety and privacy requirements of tactile internet, we also outline the 5G security landscape, major categories of attackers, and potential countermeasures. Finally, we provide a case study of factory automation as an example of the proposed 5G-based tactile internet.
Ordering series and parallel compositions

In this article we analyze the reliability of networks constructed as repetitive compositions of simple identical structures (building blocks). More precisely, we limit our analyses to two-terminal networks composed of only two motifs (two basic building blocks): two devices in series, and two devices in parallel. Therefore, for a given number of devices (which is a power of two) we build all the possible compositions of series and parallel networks of two devices. For all the resulting two-terminal networks, we compute exactly their associated reliability polynomials. These two-terminal networks are ranked according to partial orders over the set of all compositions. These partial orders have reasonably simple algebraic descriptions and can reveal interesting properties, and in particular they allow us to order the resulting two-terminal networks with respect to reliability.
Performance Analysis of Non-Conventional Distance Protection and Phase Selection Algorithms in Transmission Lines Little Longer than Half- Wavelength

This work presents a performance analysis of non-conventional distance protection algorithm and phase selector in transmissions lines little longer than half-wavelength. Real and ideal transposition were considered for the Bergeron and JMarti line models. Simulations were performed in Alternative Transient Program under phase-to-ground and phase-to-phase solid short circuits. The voltage and current signals were emulated and applied to a commercial relay by a programmable test set. Unconventional algorithms were implemented in MATLAB with the objective of comparing and supporting the results obtained. An appropriate performance of the commercial relay was observed for faults applied up to approximately 514 km from the sending of the transmission line. The unconventional distance protection algorithm implemented showed effectiveness for faults applied up to approximately 1028 km, while the unconventional phase selection algorithm proved to be adequate for faults applied throughout the whole line extension.
The relationship between the brent crude oil and the national balancing point natural gas prices

The European Union formed a strategy with the Energy Union towards the delivery of secure, competitive, and sustainable energy. The Energy Union targets at a fully integrated internal energy market, which requires infrastructure, leaving market fundamentals to drive energy pricing. The European Union swifts to natural gas as its primary energy source. So far the natural gas supply has been conducted via inter-state pipelines and priced through oil-indexed contracts. In our research, we study whether there are price spillovers from oil to natural gas, and vice versa. This paper studies the oldest gas virtual trading point in Europe, National Balancing Point. It is considered as one of the most liquid and transparent gas markets. In order to fully cover every aspect, we use Wald tests, cointegration tests, asymmetric price transmission methodology, and Diebold and Mariano tests. We reach conclusions on commodities’ independence and we present their time varying relationship.
Gestuelle contrainte et empathie dans l'interaction homme-machine

A l’instar de la communication entre humains, la communication gestuelle avec un acteur virtuel (AV) depend de l’environnement et du type d’interaction. Ce type d’echanges nous renseigne sur la communication humaine dans un paradigme du “corps retrouve” autant que sur les strategies de communication asymetrique. Le corpus concu dans le projet CIGALE consiste dans l’enregistrement et l’analyse d’interactions gestuelles entre un acteur reel et un AV. Le systeme de perception de cet AV empeche le cours normal de la multimodalite. Dans ce dispositif d’interactions gestuelles, l’asymetrie de modalites qu’impose l’AV eclaire les implications relationnelles des choix de gestes de l’acteur reel. Les interactions sont regies par cet AV qui doit percevoir l'activite (gestuelle) de la personne reelle, afin d’executer une action (determinee) en reponse. L’analyse gestuelle menee (sous ELAN) sur 7 dyades, montre que, dans l’interaction, les personnes reelles s’adaptent aux stimuli de l’AV en adoptant des vitesses et des amplitudes analogues a celles de l’AV, en se focalisant sur des mouvements des bras et en neutralisant plus ou moins les mouvements distaux (mains et doigts). Cette adaptation correspond a une production gestuelle limitee de l’AV, par un couplage interne perception/production base sur un meme dispositif, le capteur de mouvements Kinect (absence de captation des mouvements des doigts et de la pronosupination). Ceci entraine, chez la personne reelle, une tendance a l’empathie, la maintenant dans la boucle imitative initiee par l’AV. Ce mode d’echanges gestuels base sur l’imitation pousse les acteurs reels a integrer les limitations des articulations de l’AV, jusque dans la forme de la gestualite. De plus, l’empathie depasse l’imitation, puisque le style gestuel emergent des acteurs reels apparait y compris dans les productions non imitatives. Cette empathie avec l’AV favorise les mouvements des bras et des avant-bras des acteurs reels et, ainsi, oriente la gestualite vers le mouvement de ces segments proximaux. Elle s’apparente en cela a la gestuelle des enfants avant 17 mois et promeut les gestes relationnels inities sur les bras, au detriment des gestes manipulatoires, inities sur les mains. Ce dispositif apporte un eclairage nouveau aux echanges gestuels : Est-ce l’absence de production vocale et la limitation y compris gestuelle et/ou le mimetisme qui favoriseraient l’empathie dans l’interaction avec l’AV ? Y aurait-il, en raison de ce type de gestualite contrainte, une relation a construire — comme avec un enfant ?
Secure and Parallel Expressive Search over Encrypted Data with Access Control in Multi-CloudIoT

To solve limited storage space problem; IoT sends all its data to the Cloud which is characterized by its unlimited storage service. To avoid confidentiality issues, data are encrypted before being sent to the Cloud. This encryption makes operations on these data very difficult, such as searching data that correspond to certain keywords. Searchable encryption is the solution for this problem; it allows to recover data that correspond to certain keywords without revealing any information on either keywords or data; at the same time, consideration of access control by searchable encryption is very important in order to deliver data to users who have access rights. Most works support access control and pass over information disclosure, such as revelation of the total number of data corresponds to a request, called “size pattern”; our approach support access control and decreases the number of information unveiled, by hiding the size pattern. The majority of approaches avoid sequential search using inverted indexes however they allow; only; a single keyword search. In this work we will propose a searchable encryption approach with expressive keyword search (more ideal than single-keyword search) in a multi-owner multi-user environment (more complicated than other environments) that support access control and decrease the amount of information unveiled, using inverted index. In addition to that, our approach ensures data availability and allows a parallel search by using multi-Cloud.
Spatial Cardiac Dysfunction Assessment via Personalized Modelling from MRI

Cardiac MRI is a standard modality to diagnose cardiac abnormality and dysfunction as recommended by the expert group. Cardiac assessment in current clinic, however, is limited to visual inspection of MRI images with some manual measurements to quantify structural and functional defects before a diagnosis is established. In this study, we describe a novel 3D+time personalized LV modelling algorithm to facilitate clinical assessment of cardiac diseases from cine MRI, and we have targeted acute myocardial infarction (AMI) and hypertrophy cardiomyopathy (HCM). Spatial computation of wall thickness and wall dynamics in terms of maximum thickening across full cardiac cycle were performed on LV models of individual patient, before mapping to bull’s eye diagram for regional analysis. The analysis was performed on 29 AMI and 5 HCM patients, and compared against 15 healthy subjects. Regional contractility dysfunction was presented and correlated to the presence of myocardial infarction and fibrosis as assessed through LGE MRI scans. Our approach provides 3D+time visualization of LV wall abnormality which is found useful to aid descriptive diagnosis of AMI and HCM, therefore suggestive of potential clinical utility.
A Note on Distributed Finite-Time Observers

The robust distributed estimation for a class of time-invariant plants is achieved via a finite-time observer, its error reaching zero after a finite time in the absence of perturbation. Two types of robustness are also shown. First, input-to-state stability with respect to measurement noises and additive perturbations is proven. Second, we demonstrate that the estimation error stays bounded in the presence of known transmission delays.
Fault Detection Strategy Based on Weighted Distance of  $k$  Nearest Neighbors for Semiconductor Manufacturing Processes

It has been recognized that the <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> nearest neighbors rule (<inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NNs) is effective for fault detection of processes with multimode characteristics. When the variance structures of different mode data sets are similar, <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN can indeed detect faults accurately. However, once the variance structures change markedly, some weak faults deviating from a dense mode fail to be detected using <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN. The main reason is that <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN statistic values of these weak faults are usually submerged by those of normal samples in some sparse modes. In order to overcome the above shortcomings of <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN, a new fault detection strategy based on weighted distance of <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NNs (FD-<inline-formula> <tex-math notation="LaTeX">$\text{w}{k}$ </tex-math></inline-formula>NNs) is proposed. In FD-<inline-formula> <tex-math notation="LaTeX">$\text{w}{k}$ </tex-math></inline-formula>NN, the weighted parameter of distance of a sample to its <inline-formula> <tex-math notation="LaTeX">$j $ </tex-math></inline-formula>th nearest neighbor is the reciprocal of the mean distance of the <inline-formula> <tex-math notation="LaTeX">${j}$ </tex-math></inline-formula>th nearest neighbor to its <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> nearest neighbors. Compared with the statistic in <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN, the new statistic in FD-<inline-formula> <tex-math notation="LaTeX">$\text{w}{k}$ </tex-math></inline-formula>NN can both eliminate the influence of variance structure in multimodal processes and reduce the autocorrelation of statistic values. As a single model method, FD-<inline-formula> <tex-math notation="LaTeX">$\text{w}{k}$ </tex-math></inline-formula>NN is more suitable for monitoring multimode processes than <inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN. The efficiency of FD-<inline-formula> <tex-math notation="LaTeX">$\text{w}{k}$ </tex-math></inline-formula>NN is implemented in a simulated multimode case and in the semiconductor manufacturing processes. The experimental results indicate that the proposed method outperforms FD-<inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula>NN, principal component analysis (PCA) and kernel PCA.