Miracle-dz/UniFAR-FTUs huggingface dataset:
Connected correlator of 1/2 BPS Wilson loops in N = 4 SYM

: We study the connected correlator of 1/2 BPS winding Wilson loops in N = 4 U( N ) super Yang-Mills theory, where those Wilson loops are on top of each other along the same circle. We (cid:12)nd the exact (cid:12)nite N expression of the connected correlator of such Wilson loops. We show that the 1 =N expansion of this exact result is reproduced from the topological recursion of Gaussian matrix model. We also study the exact (cid:12)nite N expression of the generating function of 1/2 BPS Wilson loops in the symmetric representation.
Giardiasis Giardiasis : Pathophysiology and Management

Giardia, a common human parasite, can cause significant morbidity; however, natural medicine has great potential to influence the course of Giardia infection. The most beneficial way to treat giardiasis naturally may be through a combination approach, utilizing both nutritional interventions and phytotherapeutic agents. Nutritional intervention aims to reduce the acute symptoms of Giardia and help clear the infection. This can best be achieved by consuming a whole-food based, high-fiber diet that is low in fat, lactose, and refined sugars. Additionally, ingestion of probiotics and wheat germ assists in parasite clearance. Numerous medicinal herbs show promise in the treatment of giardiasis. Berberine-containing herbs, garlic, and the Ayurvedic formulation Pippali rasayana currently have the most clinical evidence supporting their use. Blending the nutritional interventions and phytotherapeutic agents outlined in this article can minimize Giardia symptomatology and aid clearance of the parasite, without significant ill effects. As such, this therapeutic strategy should be considered the first-line approach. Antibiotic use may best be reserved for cases that fail to respond to initial treatment with natural
Clinical Profile, Angiographic Characteristics And Treatment Recommendations Of Coronary Artery Disease In Women

Clinical Profile, Angiographic Characteristics and Treatment Recommendations of Coronary Artery Disease in Women Introduction: Coronary artery disease (CAD) the leading cause of Mortality and Morbidity in middle aged women in developed and developing countries. The aim of this study was to define the clinical profile of patients with CAD in terms of risk factors, clinical presentation, angiographic characteristics and treatment recommendations for percutaneous interventions (PCI), coronary artery bypass surgery (CABG) or medical therapy.
Mobilny robot manipulacyjny wykorzystujący technologie Internetu Rzeczy w systemie sterowania i monitorowania

The paper presents an original design of the six wheeled mobile robot equipped with a handling arm with six degrees of freedom. Describes a modular and scalable control system using the Internet of Things technologies such as Wi-Fi, Ethernet network and MQTT protocol. The structure of messages associated with reading data from sensors and writing to actuators and how they are transmitted. It presents the algorithms used to control the robot and robot control application for PC computer. Describes the advantages of the proposed control system.
Exploring Indoor White Spaces in Metropolises

It is a promising vision to exploit white spaces, that is, vacant VHF and UHF TV channels, to meet the rapidly growing demand for wireless data services in both outdoor and indoor scenarios. While most prior works have focused on outdoor white space, the indoor story is largely open for investigation. Motivated by this observation and discovering that 70% of the spectrum demand comes from indoor environment, we carry out a comprehensive study to explore indoor white spaces. We first conduct a large-scale measurement study and compare outdoor and indoor TV spectrum occupancy at 30+ diverse locations in a typical metropolis—Hong Kong. Our results show that abundant white spaces are available in different areas in Hong Kong, which account for more than 50% and 70% of the entire TV spectrum in outdoor and indoor scenarios, respectively. Although there are substantially more white spaces indoors than outdoors, there have been very few solutions for identifying indoor white space. To fill in this gap, we develop the first data-driven, low-cost indoor white space identification system for White-space Indoor Spectrum EnhanceR (WISER), to allow secondary users to identify white spaces for communication without sensing the spectrum themselves. We design the architecture and algorithms to address the inherent challenges. We build a WISER prototype and carry out real-world experiments to evaluate its performance. Our results show that WISER can identify 30%--40% more indoor white spaces with negligible false alarms, as compared to alternative baseline approaches.
A Model for Determining the Maturity of Automation of Software Testing as a Research and Development Area

This article proposes a model to determine the current maturity of test automation as an area of research and development in the software industry. The process and the results of a research that aims to determine the maturity level of automation is described. A systematic review of the literature in which 978 papers were found where are described the models of maturity of software testing and/or analyze the effectiveness and efficiency of automation was performed. After a process of analysis and apply the inclusion/exclusion criteria and quality assessment 26 papers were extracted. The final conclusion is that the current maturity level of automation of software testing is teenager.
Endoscopy of the reproductive tract of the ewe.

A technique for direct observation of the ovaries and uterus of the ewe by means of an illuminated endoscope, inserted through an abdominal cannula, is described. All surfaces of both organs can be manipulated into position for examination with the aid of elongated forceps inserted through a second cannula. The procedure allows diagnosis of pregnancy by observation of uterine enlargement and-functional corpora lutea and repeated study of ovarian activity.
PERANCANGAN FRAMEWORK MOBILE DEVICE MANAGEMENT PADA PLATFORM ANDROID

Peningkatan penggunaan perangkat mobile dan adanya kebijakan bring your own device (BYOD) mengakibatkan keragaman data yang tersimpan diperangkat mobile, baik data pribadi maupun data perusahaan. Sehubungan dengan hal tersebut, maka meningkat pula ancaman keamanannya berupa mobile malware dan ancaman fisik yaitu kehilangan perangkat serta ancaman yang berasal dari perilaku pengguna. Oleh karena itu, dilakukan penelitian untuk merancang framework mobile device management yang merupakan tools untuk memonitor, mengontrol dan melindungi perangkat mobile. Framewor kmobile device management dirancang pada platform Android. Metode penelitian yang digunakan adalah kualitatif dengan tahapan analisis domain dan desain framework. Hasil dari penelitian adalah kebutuhan fungsional mobile device management dan rancangan framework mobile device management pada platform Android. Kebutuhan fungsional mobile device management sejumlah 21 fitur yang didapatkan dari perbandingan 3 software mobile device management dimana fitur tersebut dimiliki oleh minimal 2 software. Kata Kunci: framework,mobile device management,Android.
The effect of massage on autonomic nervous system in patients in pediatric intensive care units

ii PREFACE iv TABLE OF CONTENTS v LIST OF FIGURES viii LIST OF TABLES ix LIST OF ABBREVIATIONS x ACKNOWLEDGEMENTS xii DEDICATION xiv CHAPTER1: INTRODUCTION 1 CHAPTER 2: BACKGROUND 4 2.1 Stress 4 2.1.1 Stress in Intensive Care Units 4 2.1.2 Stress and Inflammatory Response 5 2.1. 3 The Effect of Autonomic Nervous System in Stress Response 9 2.1. 3.1 “Paradoxical Pro-Inflammatory Effect” of SNS 12 2.1. 3.2 The Blunted Parasympathetic Anti-Inflammatory Pathway 15 2.2 Autonomic Nervous System, Heart Rate Variability and Stressful Situations 18 2.2.1 Autonomic Nervous System 18 2.2.1.1 General Picture of ANS 18 2.2.1.2 Heart Rate Viability to Measure ANS Function 21 2.2.2 ANS Dysfunction and HRV Decreases in Acute Stressful Situations 23 2.2.3 Indicative Values of ANS and HRV on Disease Severity 27 2.2. 4 Predictive Values of ANS and HRV on Disease Prognosis 29 2.2. 5 Therapeutic Values of ANS and HRV 29 2.3 The Effect of Massage Therapy on Autonomic Nervous System 30 2.3.1 Massage Therapy: Stimulate PNS Activity and Suppress SNS Activity 31 2.3.2 Patients in Pediatric Intensive Care Units (PICU) 35 CHAPTER 3: RATIONALE 36 CHAPTER 4: OBJECTIVES AND HYPOTHESES 37
Analysis of SSL certificate reissues and revocations in the wake of heartbleed

A properly managed public key infrastructure (PKI) is critical to ensure secure communication on the Internet. Surprisingly, some of the most important administrative steps---in particular, reissuing new X.509 certificates and revoking old ones---are manual and remained unstudied, largely because it is difficult to measure these manual processes at scale. We use Heartbleed, a widespread OpenSSL vulnerability from 2014, as a natural experiment to determine whether administrators are properly managing their certificates. All domains affected by Heartbleed should have patched their software, revoked their old (possibly compromised) certificates, and reissued new ones, all as quickly as possible. We find the reality to be far from the ideal: over 73% of vulnerable certificates were not reissued and over 87% were not revoked three weeks after Heartbleed was disclosed. Our results also show a drastic decline in revocations on the weekends, even immediately following the Heartbleed announcement. These results are an important step in understanding the manual processes on which users rely for secure, authenticated communication.
Preprocessing Quaternion Data in Quaternion Spaces Using the Quaternion Domain Fourier Transform

Recently a new type of hypercomplex Fourier transform has been suggested. It consequently transforms quaternion valued signals (for example electromagnetic scalar-vector potentials, color data, space-time data, etc.) defined over a quaternion domain (space-time or other 4D domains) from a quaternion ”position” space to a quaternion ”frequency” space. Therefore the quaternion domain Fourier transform (QDFT) uses the full potential provided by hypercomplex algebra in higher dimensions, such as 3D and 4D transformation covariance. The QDFT is explained together with its main properties relevant for applications such as quaternionic data preprocessing.
Developing Professional Consultancy Skills for Engineers Using a Web-Based Simulated Consultancy

This paper reports on the development of an online, problem based learning (PBL) environment (the Virtual Engineering Consultancy Company VECC) in which students develop and practice engineering consultancy skills in a ‘risk free’ simulated consultancy. Traditionally, many engineering students are not afforded the opportunity to develop and practice the essential skills of professional practice before taking up positions within the profession. Well designed virtual learning environments such as the VECC, can assist and support students in building heuristics that will enhance their ability to solve problems in the real world. The problems are situated in the context of a meaningful 'real world' based environment which draws on 'real variables'. The VECC models the skills and processes of an 'expert consultant' 'a professional engineer' in the field of Heat Transfer within a supported learning environment. The power of a web-based environment to provide a platform which supports both synchronous and asynchronous computer mediated communication enables students to interact with a virtual client in an environment which is 'safe', cost effective and highly flexible. This feature is particularly important as many student engineers have limited time and resources and must often fit their training into existing work schedules. Evaluation of the pilot implementation with 3 year Engineering students at the University of Wollongong is also briefly outlined.
Staying in place: Neighborhood context and academic achievement among White, Black, and Latino youth, 1986 – 2008

This paper investigates the effects of neighborhood context on math and reading scores for youth who experience exogenous neighborhood change around them over time. Seldomused restricted panel data from the National Longitudinal Survey of Youth (1986 – 2008) is used to estimate person fixed effects models that account for unobserved time-invariant characteristics of children and families. Black and Latino youth are found to reside amidst more disadvantaged neighborhoods throughout adolescence than Whites. Further, disparities in neighborhood quality are rigid as children mature. Fixed-effects models demonstrate that neighborhood poverty is a consistent detrimental force for achievement across racial and ethnic groups. Gentrification, however, is an inconsistent predictor of increased achievement across these groups. Theoretical and methodological implications are discussed.
A Critical Appraisal of Transient and Artificially Induced Forms of Synaesthetic Experiences

The first documented case of synaesthesia dates back to 1812 when Georg Sachs, an Austrian doctor, submitted within his doctoral dissertation an account of himself as synaesthete, giving detailed explanations of color perception for both numbers and letters (for an English translation of Sachs’ report, see Jewanski et al., 2009). After Sachs’ pioneering account, it took synaesthesia almost seventy years to enter mainstream science, and to be recognized as a genuine phenomenon of scientific relevance (Chabalier, 1864; Galton, 1880; Nussbaumer, 1873). By the end of the 1890s synaesthesia had nevertheless achieved a fully fledged scientific status, and its study had acquired a strong medical character (see Jewanski et al., 2011; Ward, 2013, for an in-depth historical analysis of synaesthesia). The beginning of the twentieth century, however, took the study of synaesthesia far away from its earlier scientific tradition. With the emergence of expressionism and abstract art (Kandinsky and his synaesthetic paintings), dodecaphony in music (for instance, the Optophonic Piano built by Vladimir Rossine in 1916), and futurism in literature (Marinetti, 1911), the term gradually but progressively came to be associated with these artistic movements. Consequently, synaesthesia began to be studied more as a cultural metaphor for the expression of intersensory correspondence than as a biological, psychological, and medical phenomenon deeply and profoundly rooted in scientific practice. With the emergence of behaviorism in psychology (e.g., Skinner, 1938;Watson, 1930), the fate of research into synaesthesia changed again. Synaesthesia
Identifying Linguistic Areas for Geolocation

Geolocating social media posts relies on the assumption that language carries sufficient geographic information. However, locations are usually given as continuous latitude/longitude tuples, so we first need to define discrete geographic regions that can serve as labels. Most studies use some form of clustering to discretize the continuous coordinates (Han et al., 2016). However, the resulting regions do not always correspond to existing linguistic areas. Consequently, accuracy at 100 miles tends to be good, but degrades for finer-grained distinctions, when different linguistic regions get lumped together. We describe a new algorithm, Point-to-City (P2C), an iterative k-d tree-based method for clustering geographic coordinates and associating them with towns. We create three sets of labels at different levels of granularity, and compare performance of a state-of-the-art geolocation model trained and tested with P2C labels to one with regular k-d tree labels. Even though P2C results in substantially more labels than the baseline, model accuracy increases significantly over using traditional labels at the fine-grained level, while staying comparable at 100 miles. The results suggest that identifying meaningful linguistic areas is crucial for improving geolocation at a fine-grained level.
Phrasing and constituent boundaries in Lifou French

This study investigates intonational properties related to the marking of boundaries of different kinds of constituents of a French variety spoken in the South Pacific. Lifou French represents an understudied regional variety from New Caledonia and is spoken by bilingual speakers of French and Drehu, an Oceanic language. Within autosegmental metrical phonology the status of the intermediate phrase (ip) in French has been subject to debate. This study focuses on right boundary marking to examine whether phonetic cues can be related to the realisation of different types of prosodic breaks, namely the Accentual Phrase (AP) and the ip. Pitch scaling patterns within and across APs support the existence of the ip based on data from this largely undocumented variety. Interestingly, the phonetic realisation of right boundary marking shows differences from the Standard variety of French.
BENIGN VS. HARMFUL VARIABILITY IN SECOND LANGUAGE VOWEL PRODUCTION

Variability is widespread in speech, but it is unlikely that all of it is harmful; variability in other domains has been shown to allow flexibility, within limits. Using one technique for separating the two, we applied Uncontrolled Manifold Analysis (UCM) to vowels in running speech. This results in two multidimensional manifolds, one the controlled manifold, where variation is harmful relative to the target, and a complementary uncontrolled manifold, where variation is benign. Utterances from 32 speakers of English were analysed acoustically and a UCM analysis (with intended vowel category as the target) was extracted. This was compared to the UCM analysis of 4 second-language (L2) speakers of English (Korean L1). Results indicate that L2 speakers had smaller uncontrolled variability, consistent with their lower accuracy. UCM suggests the possible direction of variability that L2 speakers need to master. Simulating along the controlled vs. uncontrolled manifolds further supports this suggestion.
Self assessment of dental students as learning modality in preclinical dental education

The goal of dental education is to prepare future clinicians for a general dental practice. The curriculum delivery utilizes learning methodology that includes lectures, pre-clinical laboratories, problem-based learning and clinical internships. The aim of our study was to show whether dental students are able to critically evaluate their work and whether their abilities to self-assess improved over the study. The study examined whether there is a positive correlation between student self-evaluation scores and instructor scores in the second year of Preclinical Cariology and Prophylaxis of oral diseases, courses at the Dental Medicine, Faculty of Medical Sciences, at the University “GoceDelcev”, Stip. The results concerning self-evaluation among second year dental students in preclinical procedures who rated themselves regularly throughout the course year exhibited some expected outcomes. The Criteria-based Self- Evaluation sheets provided the student with an orderly and systematic approach to evaluating their preclinical work. Key words: dental education, assessment, self-evaluation
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data

The need for high-quality, large-scale, goal-oriented dialogue datasets continues to grow as virtual assistants become increasingly wide-spread. However, publicly available datasets useful for this area are limited either in their size, linguistic diversity, domain coverage, or annotation granularity. In this paper, we present strategies toward curating and annotating large scale goal oriented dialogue data. We introduce the MultiDoGO dataset to overcome these limitations. With a total of over 81K dialogues harvested across six domains, MultiDoGO is over 8 times the size of MultiWOZ, the other largest comparable dialogue dataset currently available to the public. Over 54K of these harvested conversations are annotated for intent classes and slot labels. We adopt a Wizard-of-Oz approach wherein a crowd-sourced worker (the “customer”) is paired with a trained annotator (the “agent”). The data curation process was controlled via biases to ensure a diversity in dialogue flows following variable dialogue policies. We provide distinct class label tags for agents vs. customer utterances, along with applicable slot labels. We also compare and contrast our strategies on annotation granularity, i.e. turn vs. sentence level. Furthermore, we compare and contrast annotations curated by leveraging professional annotators vs the crowd. We believe our strategies for eliciting and annotating such a dialogue dataset scales across modalities and domains and potentially languages in the future. To demonstrate the efficacy of our devised strategies we establish neural baselines for classification on the agent and customer utterances as well as slot labeling for each domain.
Model based node design methodology for secure IoT applications

In this study, a model based design methodology for secure IoT nodes is presented. As IoT systems execute various types of tasks, IoT nodes differ according to the requirements. When the requirements related to IoT nodes are analyzed, high security, low power consumption and scalability can be classified as significant requirements. Owing to the fact that these requirements conflicts with each other, a comprehensive design methodology is essentially needed. Model based design methodology which we present in this study aims to address these needs.