Miracle-dz/UniFAR-FTUs huggingface dataset:
An exploratory qualitative study on mobile leisure (m-leisure): a case of mobile phone users in Turkey

Dunyanin her yerinde milyarlarca cep telefonu kullanicisi, diger kullanicilarla konusmakta, mesajlasmakta, vakit gecirmekte, sosyallesmekte ve kendilerini eglendirmektedir. Dunyadaki bircok ulkede oldugu gibi Turkiye’de de cep telefonu, oldukca populer bir hal almis ve kolektif baglilik nesnesi olmustur. Bos zaman ya da rekreasyon acisindan, cep telefonu kullanicilari, cogunlukla akilli telefon ile mesgul olarak vakitlerini gecirmektedirler. Mobil bos zaman (m-leisure) uygulamasi, yeni uygulamalarin gelistirilmesine yardimci olabilecek bir olgu olarak onem kazanmistir. Bu calismanin amaci, Turkiye’deki universite ogrencileri arasinda, bos zaman (leisure) baglami kapsaminda cep telefonlarinin anlamini arastirmaktir. Verilerin toplanmasi ve analiz edilmesi icin, nitel arastirma metodu olarak, derinlemesine gorusme secilmistir. Amacli ornekleme metodu, cep telefonu kullanan bireylere uygulanmistir. Bu calismaya, 13’u erkek ve 12’si kadin olmak uzere toplam 25 ogrenci katilmistir. Calismanin sonucunda, can sikintisi ve kacma, mesguliyet, sosyallesme, eglence, bagimlilik ve yeni deneyimler kesfetme basligi altinda alti tema ortaya cikmistir. Sonuclar, hem can sikintisi ve kacis hem de mesguliyet kavramlarinin bos zaman baglami icerisinde cep telefonu kullanicilari icin daha baskin boyutlar oldugunu vurgulamaktadir. Bu arastirma ayrica bos zaman acisindan cep telefonu kullaniminin temel olarak bagimlilik ve eglence boyutlarina da dayali oldugunu gostermistir.
Oropharyngeal Chlamydia trachomatis infection complicated with cervical lymphogranuloma venereum: case report and literature review.

Lymphogranuloma venereum (LGV) is a sexually transmitted infection caused by invasive serovars of Chlamydia trachomatis. There have been only a few case reports of oropharyngeal Chlamydia trachomatis infection complicated with cervical LGV. We report a case of a HIV-positive male patient with cervical LGV that presented a poor evolution despite appropiate treatment.
Measurement of IgE antibodies against purified grass pollen allergens (Lol p 1, 2, 3 and 5) during immunotherapy.

Summary Background IgE titres tend to rise early after the start of immunotherapy, followed by a decline to pre-immunotherapy levels or lower. Objectives We were interested to ktiow whether the early increase in IgE antibodies includes new specificities of IgE, and whether these responses persist. Methods Sera of 64 patients undergoing grass pollen immunotherapy were tested for IgE against four purified grass pollen allergens: Lol p 1. 2, 3, and 5. At least two serum samples were taken, one before the start of therapy and one between 5 and 18 months after the first immunization (mean: 10 months). Results The mean IgE responses to Lol p 1, 2 and 3 showed a moderate but not significant increase. In contrast, the mean IgE response to Lol p 5 showed a significant decrease of >30%. IgE against total Lolium perenne pollen extract moderately increased (>20%), showing that a RAST for total pollen is not always indicative for the development of IgE against its major allergens. For >40% of the patients it was found that IgE against one or more of the four allergens increased, while IgE against the remaining allergen(s) decreased. Eor 10 sera the ratio of IgE titres against at least two allergens changed by at least a factor of 5. The changes in specific IgE also included conversions from negative (< 0.1 RU) to positive (0.6 to 5.0 RU) for five patients. For two patients, the induction of these ‘new’ IgE antibodies against major allergens was shown to result in a response that was persistent over several years. Conclusion Although active induction of new IgE specificities by immunotherapy was not really proven, the observations in this study indicate that monitoring of IgE against purified (major) allergens is necessary to evaluate changes in specific IgE in a reliable way.
ANTENA MICROSTRIP MIMO 8�8 ARRAY 2 PATCH RECTANGULAR H-SLOT UNTUK RADIO AKSES 5G FREKUENSI 15 GHZ

Perkembangan teknologi komunikasi selalu meningkat setiap waktu. Namun, sumber daya frekuensi yang digunakan terbatas untuk beberapa aplikasi seperti komunikasi seluler 5G. Hal ini memerlukan alokasi frekuensi lain, salah satunya menggunakan frekuensi tinggi pada 15 GHz. Penggunaan frekuensi tinggi dalam aplikasi nirkabel perlu dipertimbangkan karena hal tersebut rentan mengalami fading yang tinggi. Agar mengatasi fading yang tinggi membutuhkan sistem antena MIMO (Multiple Input Multiple Output). Penelitian jurnal ini berisikan perancangan antena MIMO dengan 8 elemen. Setiap elemen adalah antena microstrip array 2 patch rectangular dengan slot berbentuk H dan catuan insert feed. Bahan dielektrik yang digunakan pada antena microstrip adalah Duroid Rogers 5880 yang memiliki pemitifitas relatif sebesar 2,2 dengan ketebalan 1,575 mm serta bahan konduktor yang digunakan adalah tembaga dengan ketebalan 35 �m untuk bahan peradiasi maupun ground-plane. Realisasi antena hasil pengukuran mendapatkan VSWR=1,5 dan Return Loss=-14 dB pada rentang frekuensi 14,5-15,25 GHz. Nilai gain sebesar 9,614 dB dengan polarisasi elips dan linier serta pola radiasi unidirectional.
Complémentarité des outils de saisie de texte en environnement virtuel immersif

Cette etude presente un test utilisateur afin de determiner quels sont les avantages et inconvenients de differents modes de saisie de texte en environnement virtuel immersif : la reconnaissance vocale individuelle, la reconnaissance vocale collective et le clavier virtuel surnomme Drum-Like Keyboard. Nous avons mesure l’experience utilisateur des participants notamment selon l’utilisabilite et l’utilite afin de pouvoir proposer des recommandations adequates aux personnes cherchant a integrer la saisie de texte en realite virtuelle. Nos resultats montrent que la reconnaissance vocale et le clavier virtuel ont des qualites complementaires, qui peuvent etre utilisees de concert pour obtenir des resultats et une experience optimale.
Preserving Physical Safety Under Cyber Attacks

Physical plants that form the core of the cyber-physical systems (CPSs) often have stringent safety requirements and, recent attacks have shown that cyber intrusions can cause damage to these plant. In this paper, we demonstrate how to ensure the safety of the physical plant even when the platform is compromised. We leverage the fact that due to physical inertia, an adversary cannot destabilize the plant (even with complete control over the software) instantaneously. In fact, it often takes finite (even considerable time). This paper provides the analytical framework that utilizes this property to compute safe operational windows in run-time during which the safety of the plant is guaranteed. To ensure the correctness of the computations in runtime, we discuss two approaches to ensure the integrity of these computations in an untrusted environment: 1) full platform-wide restarts coupled with a root-of-trust timer and 2) utilizing trusted execution environment features available in hardware. We demonstrate our approach using two realistic systems—a 3 degree-of-freedom helicopter and a simulated warehouse temperature management unit and show that our system is robust against multiple emulated attacks—essentially the attackers are not able to compromise the safety of the CPS.
Surveying Personality with Behavior: The Situational Influences and Individual Outcomes of Self-Monitoring Behavior

Author(s): Lu, Richard | Advisor(s): Srivastava, Sameer B | Abstract: Through decades of research, scholars have illustrated the complexity of the relationship between unobservable personalities and observable behaviors. Yet, despite this complexity, the predominant empirical method of assessing personality remains the psychometric scale. In this dissertation, I extend past research on behavioral measures of personality by proposing a novel approach using natural language, and highlight at least three key ways it helps advance our understanding of personality and behavior. First, assessing personality from behavior directly bypasses potential cognitive and perceptual biases involved in the self- and peer-report of scales, allowing for a more objective account. Second, it uncovers temporal and situational variance largely obscured by scales, which capture mean tendencies and more stable, individual differences. Third, it has greater potential to shed light on the processes underlying documented correlations between personality and distal outcomes.In Chapter 1, I review the personality and behavior literature and draw out two major conclusions, describing how they have led to three different methods of personality assessment. I discuss the limitations of these methods, explain how my approach overcomes these limitations, and introduce the personality construct of self-monitoring through which I illustrate my approach. In Chapter 2, I detail the construction of a behavioral measure of self-monitoring. I explain how characteristics of the technical apparatus map on to the general theory of self-monitoring, outline the design decisions I made in constructing the measure, and provide comparisons with the survey measure as well as robustness checks. In Chapter 3, I conclude with an empirical analysis of the measure, demonstrating that it is responsive to situations as expected. I additionally demonstrate its utility in its association with consequential individual outcomes such as salary bonus and network constraint.
Network Analysis by Using Various Models of the Online Social Media Networks

: This paper is organized as follows: Firstly, it presents related literature on the current topics related to online social media networks (OSMNs) and the latest works, which define the social networks. Secondly, it introduces the important traits depicted by the most of the Online Social Media Networks. After that we are describing some generative models to represent OSMNs. Lastly, we have tried to analyze aspects in which OSMNs can fit as well as the areas where it fails.
A Cross-Layer Framework for Temporal Power and Supply Noise Prediction

In modern microprocessor and SoC designs, supply noise margin has been significantly reduced due to the continuously decreasing supply voltage level. On the other hand, with increasing current density, chips may see larger supply noise variations on various spots and from time to time. As a result, chip robustness and reliability are inevitably deteriorated with more frequent supply noise emergencies. It is therefore crucial to have an efficient supply noise prediction method to enhance design robustness. The state-of-art solutions either try to build a spatial noise estimation framework at the layout-level using the limited distributed physical noise sensors or attempt to develop emergency predictors at the architecture-level thus ignore back-end power delivery details. In this paper, we propose a cross-layer framework for temporal supply noise prediction. Our method not only accounts for the temporal characteristics of workload execution at micro-architecture-level but also incorporates the power delivery model at the circuit-level into such system-level prediction. In order to enable the capability of on-the-fly noise prediction, we first bridge the gap between system-level workload and micro-architectural-level power by employing an ordinary least square-based power estimation model and an adaptive auto-regressive integrated moving average model (ARIMA)-based power prediction model. Then a layout-level supply noise model is developed to explore the correlations between micro-architectural-level power and layout-level supply noise. Compared with existing methods, the proposed ARIMA-based power model improves the prediction performance by up to 37.5%/63.0% in X86/ARM. Moreover, compared with SPICE simulation, our framework is able to estimate present supply noise with an average error of 0.005% and predict future supply noise with an average error of 1.58%/1.17% for X86/ARM architecture.
What about Passive Innovation Resistance? Exploring User’s Resistance to Technology in the Healthcare Sector

Where little is known about how users passively resist innovation prior to evaluation, this paper explores both past and current trends through a systematic review of 45 studies (1989 – 2017) related to the consumer decision journey. The literature on adoption largely assumes that consumers are open to change, presuming that all consumers will experience a new offering prior to reaching an adoption decision. However, the review confirms the existence of passive innovation resistance; the selected papers also identified two main drivers (resistance to change and status quo satisfaction). However, some recent studies have challenged these drivers for not evolving along with the consumer decision journey. Our contribution highlights the multidimensional nature of experience in today’s digital world through the re-examination of antecedents and correlates. In doing so, the study strengthens our understanding of the phenomenon, ensuring that managers become more aware of the differences when making strategic decisions on innovation.JEL Codes: I1, O14, P46, O33
PyECG: A software tool for the analysis of the QT interval in the electrocardiogram

PyECG is a software tool for QT interval analysis in the electrocardiogram (ECG). The software is written in Python 3.6 and among its main features includes signal filtering, Q onset, R peak and T offset detection algorithms, classifiers for irregular heartbeat identification and rejection, and tools for easy correction of automatically generated annotations. Moreover, the software includes a signal quality assessment module in order to help the researcher deciding which lead should be used. The software tool computes and plots the QT Variability Index (QTVI) and QT dynamicity parameters. Since the software is designed for cardiologists and specialists with no or little programming skills, the graphical user interface is intuitive, compact and easy to use.
Pre-Service Teachers’ Attitudes Toward Inclusive Education

Implementing inclusive education requires not only facilities and physical support but also human resources, in this case pre-service teachers. Pre-service teachers, who come from different educational backgrounds, are one of the most important components in implementing inclusive education due to their interactions with special needs children. This study aims to compare the attitudes of pre-service teachers toward inclusive education based on experiences of direct interaction, training, and teaching special needs children. Participants are college students in Jakarta majoring in Teacher Training, early childhood education, and special education. The attitudes of pre-service teachers toward inclusive education are measured by the Multidimensional Attitudes toward Inclusive Education instrument. The results of the independent-sample t-test indicated that there are significant mean score differences between the two groups—Early Childhood Education majors (M = 76.84, SD = 10.155) and Special Education majors (M = 86.26, SD = 9.275) with significance p <. 005. Subsequent regression analysis demonstrated that training experience and experience teaching special needs children contributed differentially to pre-service teachers’ attitudes toward inclusive education.
A Cross Country Study of Indirect Effect of IFRS Adoption on Earnings Management

The main purpose of this study is to investigate whether there is an indirect negative effect of IFRS adoption level on earnings management, through an increase of analyst coverage. This paper is motivated by the fact that IFRS adoption could increase the number of analysts who follow the companies. The existence of analysts will increase the role of oversight of the company, which will decrease earnings management practices. This study is a cross-country study using 3.786 firm years of entities among 30 countries. This study proves that there is indirect positive effect of IFRS adoption level on earnings management, through an increase of analyst coverage. Increase of analyst coverage will push companies to do earnings management practices. This study also confirms that IFRS adoption level has direct negative effect on earnings management. This paper develops new measurement of the IFRS adoption level based on information presented in the IFRS Jurisdiction Profile published by the IFRS Foundation. This measurement is different from previous studies, which generally use dummy variables. More than 100 countries have submitted the IFRS Profile to IFRS Foundation in 2012. Therefore, we can measure the level of IFRS adoption in many countries. This measurement becomes an additional contribution to further studies.
Internationalization, Strategic Slack Resources, and Firm Performance: The Case Study of Vietnamese Enterprises

The study attempted to fill a gap in the research on international business by providing fresh evidence of the effect of the degree of internationalization on firm performance and the influence of organizational slack on this relationship. By applying a fixed-effects model to data from 569,767 Vietnamese enterprises from 2007 to 2015, a significant W-shaped linkage between internationalization and firm performance was revealed. Importantly, the results also emphasized the importance of three types of slack in the first stage of the internationalization process: absorbed slack human resources, other absorbed slack resources, and unabsorbed slack resources.
Language complexity, narratives and theory of mind of Romani speaking children

The paper presents research findings with 56 Roma children from Macedonia and Serbia between the ages of 3-6 years. The children’s knowledge of Romani as their mother tongue was assessed with a specially designed test. The test measures the children’s comprehension and production of different types of grammatical knowledge such as wh–questions, wh-complements, passive verbs, possessives, tense, aspect, the ability of the children to learn new nouns and new adjectives, and repetition of sentences. In addition, two pictured narratives about Theory of Mind were given to the children. The hypothesis of the authors was that knowledge of the complex grammatical categories by children will help them to understand better the Theory of Mind stories. The results show that Roma children by the age of 5 know most of the grammatical categories in their mother tongue and most of them understand Theory of Mind.
Analysis of Various Features of Hand Gestures using Leap Motion Controller for Indian Sign Language Interpretation

Hand gesture recognition for sign language interpretation is an active research currently going on. As a computer vision application, varieties of sensors/cameras with notable features are available for capturing live gesture. In this paper, real time hand gesture recognition has been done with Leap motion sensor. The main objective of this research is to do analysis of various derived (hand) features provided by leap motion with different classifier and select notable features with tested classifier for the further study. Indian sign language (ISL) dataset of alphabets and numbers are considered for performance analysis. Here, total 68 features for both hands (34 for each hand) are derived and tested with nearest neighbourhood, Logistic regression, Support Vector Machine (SVM) and nearest mean classifier. The fusion vector of 68 features are created and tested with different classifier to check the performance. Result shows that, SVM classifier giving better result of 96.19% for ISL alphabets and 100 % for ISL numbers with fusion vector. The detailed analysis shows that selection of hand orientation features instead of distance features are also a good choice for hand gesture recognition.
Aerodynamic Flight Coefficients using Parallel Computing Techniques

The need of ensuring the trajectory of a projectile so as to achieve a target has always been a challenge for exterior ballistic engineers. One of the most suitable techniques consists in simulate the projectile at different angles of attack with Computational Fluid Dynamic (CFD) software to obtain the corresponding aerodynamic coefﬁcients. This paper aims at showing the advantages of utilizing parallel computing for obtaining the aerodynamic coefﬁcients utilizing the CFD software Code Saturne. As a ﬁrst step, a benchmark and a mesh convergence analysis is carried out to validate employed methodology. Then, several simulations are performed with a mesh convergence analysis in order to obtain the aerodynamic coefﬁcients. Also, a scalability analysis is performed in a Beowulf cluster to measure the performance of the software.
'I' on You: Identity in the Dictator Game

We study a giver’s generosity depending on her relationship with the recipient and the observer. We assign different group identities to the players using a variation of the minimumgroup paradigm, and test the effect of group memberships on altruistic giving in the dictator game with a passive observer. The results show that the dictator gives the least when she is from a different group than the other two. We further show that dictators give more when there is no observer. This is driven by male subjects who react more to the presence of the observer.
El modelo biopsicosocial como fuente de bienestar integral en el ser humano

Los aportes dados por la Psicologia de la salud han contribuido de manera significativa al bienestar del ser humano mediante la aplicacion de un modelo biopsicosocial, el cual relaciona el comportamiento, los pensamientos y las relaciones sociales de la persona con su estado de salud, al adoptar y practicar comportamientos positivos que estimulen el desarrollo de un buen estado de salud que le permita al individuo tener un buen nivel de calidad de vida al contar con un optimo equilibrio fisico, mental, emocional y social, que es influenciado por los factores sociales, economicos, espirituales, culturales y psicologicos que afectan de manera notoria su estado de salud. El manejo de las emociones y los sentimientos le permite al individuo contar con un estado de salud positivo, el apoyo brindado por las personas que lo rodean mitiga las situaciones de estres que afectan de manera negativa el estado de salud aumentando las posibilidades de estimular el desarrollo de enfermedades coronarias, cancerigenas y de debilitamiento del sistema inmunologico; aspecto que no es reconocido por el modelo biomedico, al no creer en la relacion existente entre mente y cuerpo, entre la conducta social y los procesos somaticos, los biomedicos o los neurofisiologicos.
An Internal Damage Real-Time Monitoring System Using CFRP-OFBG Plates

Composite material brings many challenges in structural health monitoring (SHM), especially in internal damage detecting. CFRP-OFBG, using Optical Fiber Bragg Grating (OFBG) sensors embedded in Carbon Fiber Reinforced Polymer (CFRP) composite structures, has been widely used in the field of structural reinforcement with smart sensing features. This work developed a real-time monitor system to detect internal damage by using dense arrayed fiber-optic sensor embedded in CFRP-OFBG. A classical triangulation procedure is selected and improved in damage location detection algorithm. Experimental results showed this design is an efficient and lightweight system in detecting internal damage for CFRP-OFBG materials.