Miracle-dz/UniFAR-FTUs huggingface dataset:
HLA and Disease: A Comprehensive Review

The HLA system is in the scientific spotlight. Ever since the exciting discovery that approximately 90% of patients with primary ankylosing spondylitis possess the histocompatibility antigen HLA-B27, compared with 7% of the general population, the search for the genetic basis of disease has shifted into full gear. There does seem to be a clear connection between certain HLA-A, B, D and DR antigens and a wide variety of diseases, although no association has proved so clear-cut as that of B27 with ankylosing spondylitis and Reiter's syndrome. Therefore, while HLA typing has little clinical use for the majority of diseases, it is a fascinating research tool that may gain us a foothold in understanding our genetic soil. HLA and Disease: A Comprehensive Review , written by Dr William E. Braun, director of the Histocompatibility Laboratory and the Renal Transplantation Service at the Cleveland Clinic, is a useful guide to this complicated system.
High frequency quantum noise of mesoscopic systems and current-phase relation of hybrid junctions

This thesis discusses two experiments of mesoscopic physics regarding the high frequency quantum noise and the superconducting proximity effect. We nevertheless focused on a single model system: the carbon nanotube. The first experiment aims to measure the high frequency quantum noise of the tube. In order to measure those fluctuations we have designed an original on-chip detection scheme in which the noise source and the detector, a Superconductor/Insulator/Superconductor junction, were coupled through a resonant circuit. This first allowed us to measure the equilibrium noise of the resonator. It exhibits a strong asymmetry between emission and absorption related to zero point fluctuations. We have then measured the out-of-equilibrium emission noise of quasiparticles tunneling of a Josephson junction. It exhibits a strong frequency dependence in agreement with theoretical predictions and allowed us to validate the detection scheme. Finally, the out-of-equilibrium emission noise associated to the Kondo effect (characteristic energy kBTK with TK the Kondo temperature) in a carbon nanotube quantum dot was measured. We find a strong singularity at voltage V=hν/e (ν is the measurement frequency) for frequency ν~kBTK/h. This singularity is related to resonances in the density of states of the dot pinned at the Fermi energy of the leads. At higher frequency hν~3kBTK the singularity vanishes and understood in terms of decoherence effects induced by the bias voltage. In the second experiment, we have developed a technique allowing to measure in the same experiment the current-phase relation and the current-voltage characteristic of a weak link separating two superconductors. We have characterized a carbon nanotube based junction through which a gate tunable current-phase relation was observed. Jointly to a high critical current amplitude, an anharmonic current-phase relation was measured.
Implementation: Mobile Face Identity Authentication System on Android Platforms

This paper proposes a mobile face identify authentication system. In this system, Android application has to capture face, and verify the face by Web services. It is introduced how to implement an Android Client of this system in details. Using MB-LBP features, AdaBoost and CamShift algorithm, get face images by camera on mobile device. Then, rotate, crop the face images and convert them to grayscale in order to reduce the amount of face data. At last, post data and get validation results using sub-thread to realize real-time face verification.
Fatigue – concepts for physiotherapy management and measurement

Abstract Fatigue is a sensation known to everyone. However, it is a concept that eludes universal definition or description; it varies in severity, intensity and frequency. This review was undertaken to articulate the constructs associated with fatigue, and to consider the high levels of fatigue reported in conditions where physiotherapists have an integral role in management and rehabilitation, such as multiple sclerosis and stroke. The prevalence of fatigue in the general population, and in those with co-morbidities will be presented. Fatigue has been researched extensively in multiple sclerosis and cancer; this is not the case in Parkinson's disease and stroke: nonetheless, fatigue is reported frequently in these populations. Methods of measurement of fatigue will be discussed, and treatment approaches reviewed. The current evidence suggests that fatigue is best measured using self-report instruments, and that treatment approaches should be informed by comprehensive assessment.
Regular contributions Secure outsourcing of sequence comparisons

Internet computing technologies, like grid computing, enable a weak computational device con- nected to such a grid to be less limited by its inade- quate local computational, storage, and bandwidth re- sources. However, such a weak computational device (PDA, smartcard, sensor, etc.) often cannot avail it- self of the abundant resources available on the net- work because its data are sensitive. This motivates the design of techniques for computational outsourcing in a privacy-preserving manner, i.e., without revealing to the remote agents whose computational power is being used either one's data or the outcome of the compu- tation. This paper investigates such secure outsourcing for widely applicable sequence comparison problems and gives an efficient protocol for a customer to securely outsource sequence comparisons to two remote agents. The local computations done by the customer are lin- ear in the size of the sequences, and the computational cost and amount of communication done by the exter- nal agents are close to the time complexity of the best known algorithm for solving the problem on a single machine.
Obstructive Sleep Apnea Syndrome - A Matter of Public Health

Obstructive sleep apnea syndrome (OSAS) is a respiratory disease that affects 2-4% of the general population. Because of its clinical symptoms and due to its comorbidities, sleep apnea is a potentially life-threatening disorder, with an enormous negative influence on quality of life and public health. Although these consequences are well-known among Sleep Medicine researchers, Somnology and Sleep Medicine are not considered a new branch in medical specialties. In this article we have outlined some recommendations to address these shortcomings, hoping that the burden of sleep disorders and sleep deprivation can be minimized. These recommendations address four categories: public and professional education; technology; coordination of research initiatives at the Ministry of Health and National Health System; and organization of research, clinical care, and education in academic health centers.
A Method for Optimal Coordinated Insulation Design of Transmission Line

Abstract The first step in the accepted methods of overhead transmission line insulation coordination is to specify a reliability criterion, and then based on this constraint the most economic insulation design is sought. While the objective of an optimal insulation design method is to find an insulation design that minimises the total cost (the sum of the installation cost, operational cost and cost of failure), each of the cost components can be determined on a per-year basis taking into account the equipment’s lifetimes. In this paper, through application of ATP software and realising the total cost of different transmission line designs, a set of alternative insulation designs using various surge protection options are proposed. Employing the optimisation algorithm, an optimised insulation design for transmission line is achieved. Finally, this new method is employed for insulation design of a sample transmission line. The resultant cost savings of the new method is considerable and can result in a major saving.
System modeling using an adaptive delay filter

In this paper, we present a special technique for modeling an unknown system. This technique requires a type of adaptive filter called an Adaptive Delay Filter [1]-[3]. This filter structure includes variable delay taps in addition to variable gains. The Adaptive Delay Filter is especially applicable to system modeling problems in which the system to be modeled has a sparse impulse response [4]-[7]. Using the standard adaptive filter to model a sparse system could require a very large filter [8], while an Adaptive Delay Filter could model the sparse impulse response with very few elements in the filter since the delay taps spread out to adapt to the unknown system. An analysis of the mean-squared error surface using this technique is included, along with the computer simulation results of the performance in modeling both the delay taps and the gains of an unknown system. A comparison of this technique with the conventional approach using Widrow's LMS algorithm will be addressed.
Osteoporosis Treatment Based on Fracture Risk: A Quality of Care Study

iii ACKNOWLEDGEMENTS . v DEDICATION . vi LIST OF TABLES . x LIST OF FIGURES . xi CHAPTER ONE. BACKGROUND AND SIGNIFICANCE . 1 Osteoporosis Defined . 1 Fragility Fractures . 1 Dual-Energy X-ray Absorptiometry . 2 Fracture Risk Assessment Tool . 2 Osteoporosis Guidelines and Screening Recommendations . 3 Project Introduced . 4 Significance of Practice Improvement Project . 4 Congruence of the Project to the Organization’s Strategic Goals . 5 Project Objectives. 5 CHAPTER TWO. THEORETICAL FRAMEWORK . 7 Theory of Power as Knowing Participation in Change . 7 CHAPTER THREE. LITERATURE REVIEW . 9 Adherence to Treatment . 9 Pharmacologic Treatment Options for Osteoporosis . 11 Treatment Modality and Role in Adherence to Therapy . 15 Osteoporosis Quality Indicators . 16
Development of medical/electrical convergence software for classification between normal and pathological voices

If the software is developed to analyze the speech disorder, the application of various converged areas will be very high. This paper implements the user-friendly program based on CART(Classification and regression trees) analysis to distinguish between normal and pathological voices utilizing combination of the acoustical and HOS(Higher-order statistics) parameters. It means convergence between medical information and signal processing. Then the acoustical parameters are Jitter(%) and Shimmer(%). The proposed HOS parameters are means and variances of skewness(MOS and VOS) and kurtosis(MOK and VOK). Database consist of 53 normal and 173 pathological voices distributed by Kay Elemetrics. When the acoustical and proposed parameters together are used to generate the decision tree, the average accuracy is 83.11%. Finally, we developed a program with more user-friendly interface and frameworks.
AMBULANCE SERVICE TREAT AND REFER GUIDELINES: A QUALITAIVE INVESTIGATION INTO THE USE OF TREAT AND REFER GUIDELINES BY AMBULANCE CLINICIANS

Background Over the last decade there has been a steadily increasing demand for unscheduled healthcare services, including the ambulance services. To address this demand, various projects have been developed to reduce admissions to the emergency department. One of these was the introduction of Treat and Refer (T&R) guidelines, to allow ambulance clinicians to treat certain groups of patients in the community without the need to convey them to hospital. Aims: This study aims to explore the challenges and barriers faced by ambulance clinicians in the use of T&R guidelines, to inform the future development and governance of non-conveyance guidelines and interventions. Methods Semi-structured interviews were conducted with 18 ambulance clinicians. Data were analysed using framework analysis. Setting: A national UK NHS ambulance service. Results There was a broad support for the concept and policy of T&R; however the participants had mixed views with respect to the actual practice of treating and referring patients. Participants acknowledged the potential benefits of T&R for patients and the NHS, but identified several risks in using T&R in routine practice. Their perceptions of risk seemed to determine whether and how the guidelines were used. Challenges in the use of T&R included: lack of training and knowledge, fear of litigation, a lack of support from the management and difficulties in decision-making. Conclusions This study and the supporting literature do not support the use of T&R guidelines in their current format by traditionally trained ambulance clinicians. Ambulance clinicians have identified the need for further education and support. The conceptual support for T&R may provide a foundation to develop and improve the education and support for ambulance clinicians. This should be combined with implementation/review strategies, clinician-led decision support and management support which can provide the ambulance clinician with the skills and confidence to take responsibility for non-conveyance.
Object ownership and containment

Object-oriented programming relies on inter-object aliases to implement but it is when mutable state interacts with aliasing that problems arise. Through aliasing an object's state can be changed without the object being aware of the changes, potentially violating the object's invariants. This problem is fundamentally unresolvable. Many idioms such as the Observer design pattern rely on it. Hence aliasing cannot be eliminated from object-oriented programming, it can only be managed. Various proposals have appeared in the literature addressing the issue of alias management. The most promising are based on alias encapsulation, which limits access to objects to within certain well-defined boundaries. Our approach called ownership types falls into this category. An object can specify the objects it owns, called its representation, and which objects can access its representation. A type system protects the representation by enforcing a well-defined containment invariant. Our approach is a formal one. Ownership types are cast as a type system using an minor extension to Abadi and Cardelli's object calculus with subtyping. With this formalisation we prove the soundness of our ownership types system and demonstrate that well-typed programs satisfy the containment invariant. In addition, we also provide a firm grounding to enable ownership types to be safely added to an object-oriented programming language with inheritance, subtyping, and nested classes, as well as offering a sound basis for future work. Our type system can model aggregate objects with multiple interface objects sharing representation and friendly functions which access multiple objects' private representations, among other examples, thus overcoming weaknesses in existing alias management schemes.
Measuring Impact of Local Community Initiatives: A Crowdsourcing Approach

Over the last decade, a number of initiatives have been investigating the application of information technologies to increase civic engagement in local communities. An important challenge faced by many of these initiatives is discovering ways to reliably measure their impact. We propose a panel during the Citizen+X workshop to promote discussion on engaging the crowd as sensors of impact for these local initiatives.
Implications of Monitoring Mechanisms on Bring Your Own Device Adoption

ABSTRACT Bring Your Own Device (BYOD) programs permit employees to use personal devices to access organizational information. Users gain convenience, while employers benefit from increased productivity and reduced IT expense. Security boundaries must extend to personal devices to mitigate data exfiltration, thereby infringing on employees’ privacy by monitoring their personal devices. These monitoring mechanisms play a critical role in employee participation in a BYOD program. Our results demonstrate that the BYOD monitoring mechanisms and privacy concerns suppress the benefits of increased job performance expectancy when evaluating whether to participate in a BYOD program. This research identifies that tasks measured, frequency of monitoring, and organizational control are significant impediments to behavioral intention for BYOD participation.
Enhancing Enterprise Security through Cost-effective and Highly Customizable Network Monitoring

Network monitoring and network traffic analysis software are common tools used in an enterprise, giving IT administrators valuable insight into the status of their servers and network devices. Limited research has been done to highlight the security benefits of low-level network traffic logging and analysis, though much of it involves testing the network activity of malicious software in lab environments, using cost-prohibitive software to analyze traffic for a pre-determined amount of time. This is a useful way to isolate network activity to only the malicious software, but it also eliminates valuable baseline traffic information for an enterprise network. There are significant security benefits to be gained from analyzing how malware reacts in – or alters – an enterprise network. This paper provides techniques for getting a baseline of enterprise network traffic and analyzes how different types of malware can affect this baseline. Using only lowand no-cost software and services, we analyze the storage requirements for historical network traffic data and present techniques to filter out much of the noise, significantly reducing the amount of data that must be stored and analyzed. The results of our technique are compared against traditional antimalware and network traffic analysis methods, revealing our approach to be a cost-effective, highly customizable and effective layer of a complete defense-in-depth security strategy.
Recommendation techniques for Web search and social media

Recommenders aim to solve the information and interaction overload. A recommender system is a tool that identifies highly relevant items of interest for a user. In this thesis we aim to harness the information available through Web to build recommender systems. In particularwe study on a number of different recommendation problems: "correct tag recommendation", "query recommendation", "tweet recommendation", and "tourist points of interest recommendation". For each problem, we describe and evaluate effective solutions using novel efficient techniques.
Is it necessary to be New to be Novel

One area of my research, for the past five years, has been studying electrical stimulation and healing of chronic wounds. Mentioning electrical stimulation as a modality is not new, and for many, not novel. Electrical stimulation has been used as a modality to decrease pain for more than a century. It got approval from the Food and Drug Administration (FDA) of the United States in the 1970’s for increasing blood flow. Over the past five decades, numerous papers have been published on electrical stimulation stating its ability to decrease pain, facilitate strength, increase blood flow and heal wounds. This modality is not novel anymore, or is it? I believe taking into account three main aspects that can help us create a template to see if a modality can become novel.
Evolution and dynamics in information networks

En aquesta tesi explorem quines son les caracteristiques generals (dinamiques i topologiques) a les xarxes complexes on la informacio i/o els processos de transport jugen un paper fonamental, Hem analitzat les propietats emergents d'aquestes xarxes, com l'existencia de fluctuacions auto-similars a la vora de punts critics o l'aparicio d'estructures heterogenies ("scale-free") en xarxes de software. El nostre estudi suggereix l'existencia de lleis molt basiques responsables de l'evolucio de la complexitat estructural i dinamica.
Health and Disease in Britain: From Prehistory to the Present Day

health and disease in britain from prehistory to the present day. Book lovers, when you need a new book to read, find the book here. Never worry not to find what you need. Is the health and disease in britain from prehistory to the present day your needed book now? That's true; you are really a good reader. This is a perfect book that comes from great author to share with you. The book offers the best experience and lesson to take, not only take, but also learn.
Domains of Steels with Identical Properties

There have been many attempts in the past to reduce the variety of steels produced without compromising the range of properties available. The objective in doing so is to reduce costs. These attempts have largely focused on experiments in which thermomechanical processing parameters are varied in order to obtain a range of properties without changing the chemical composition. We have approached this problem differently by examining a large database on hot-rolled steels, all with a final microstructure which is a mixture of ferrite and pearlite. Alloys like these form the bulk of all the steel production in the world. The database was used to create a neural network model in a Bayesian framework with inputs consisting of the chemical composition (C, Mn, Si, P, S, Cr, Ni, Mo, Ti, Nb, V, Al, N, B, Cu), the finish deformation temperature (T F ), and the coiling temperature (T C ); the output was either the ultimate tensile strength or tensile elongation to failure. The neural network model was then combined with a genetic algorithm to seek domains of input parameters which correspond to different target properties. The results revealed ambiguity in the inputs with respect to the required property, and the trends observed within these sets of inputs were found to be metallurgically meaningful.
The Effect of human papilomavirus on esophageal cancer: A double blind study in north of Iran

The virus HPV is involved in some kinds of cancers and the DNA of this virus has been observed in skin , genitalia and oral tumors. Among them nearly 30-40 kinds are transfered sexually which have the ability to make sexual wart and cervical cancer. HPV is one of the affective factors in esophageal cancer as well. the aim of this study was to examine the Effect of human papilomavirus on esophageal cancer in north of Iran. This was a double blinded case control study conducted in north of Iran. The total of 40 tumor biopsies plus 40 samples of the control groups have been analysed applying primer Gp5 + &Gp6 + which are capable of detection high risk types. Results of this study indicates that there were no results confirming the affection of HPV in 40 examined patients as the case group comparing with their couples as the control arm. Non existing HPV virus can be referred to different life style for example different sexual habits ,and the other reason is the aging of affected people. According this fact hat affection to virus HPV, as an environmental factor, is extremely influenced by people life style, and capability of this virus in induction esophageal cancer. Key word: Human papilomavirus, esophageal cancer, north of Iran.
SOEPpapers on Multidisciplinary Panel Data Research The German Socio-Economic Panel study The Causal Effect of Paternal Unemployment on Children ' s Personality

Using longitudinal data from the German Socio-Economic Panel (SOEP), we show that paternal unemployment has a surprisingly positive causal effect on the “Big 5” personality traits of children aged 17 to 25. In particular, our results from longitudinal value-added models for personality suggest that paternal unemployment makes children significantly more conscientious and less neurotic. Our results are robust to different estimation methods and to selection on unobservables. Furthermore, these effects are stronger for girls and for children whose mothers are employed. JEL classification: J24, J13, J64, C33. PsycINFO codes: 2223, 2840, 3120.