Miracle-dz/UniFAR-FTUs huggingface dataset:
Reactions to intrusive images among individuals with either social anxiety disorder or obsessive-compulsive disorder

Recurrent intrusive images exist across mental disorders. However, the specific content of intrusive images varies depending on disorder. According to the continuum hypothesis the process in which intrusive thoughts develop into clinical obsessions is specific to the development of obsessive-compulsive disorder (OCD) and other disorders on the OCspectrum. We argue that this process can be generalized to other disorders as well, such as social anxiety disorder (SAD). The aim of the study was to explore how individuals with either SAD or OCD react to intrusive images, and whether they tend to react to them with one or more compulsive strategies. Participants were 60 outpatients with SAD as their primary diagnosis, 22 individuals with OCD as their primary diagnosis and 57 individuals without a psychiatric diagnosis (control group). Participants were interviewed with a semi-structured interview to assess their most significant intrusive image and how they tend to react to it. Participants in the OCD group (95.5%) were more likely than participants in the SAD group (56.7%) to have experienced intrusive images in the past six months. Almost no one in the control group (3.5%) reported recurrent intrusive images. Content analyses (performed by raters blind to group assignment) of the images revealed different themes in the OCD and SAD group, which could be linked to theoretical models of these disorders. Majority of participants who reported experiencing intrusive images in both groups (85% in the SAD group and 95% in the OCD group) reported using at least one strategy that was compulsive. This study is the first step towards establishing that obsessions and compulsions may exist in disorders that have not, historically, been placed on the OC-spectrum. Future directions and implications for theoretical models and treatment are discussed.
Non-Functional Requirements Elicitation Guideline for Agile Methods

One of the essential activities in software development is elicitation of requirement. Majority of the studies has pointed out that less attention is given to the NonFunctional Requirement (NFR). The negligence of NFR elicitation is due to lack of knowledge of the user and developer about NFR. Our study presents elicitation guidelines for NFRs in agile methods. This guideline will helps developers as well as users in agile methods. A case study is conducted on the group of master students for eliciting NFR with the help of elicitation guidelines. In addition, the initial results were obtained by extracting NFRs from eProcurement document that carries requirements of major European Union projects. The result of the case study is positive and encouraging for the new developers and users having less awareness about NFRs. Furthermore, the study describes the role of cloud computing in agile methods, especially in elicitation activity.
AN ELIGIBLE KERNEL BASED PRIMAL-DUAL INTERIOR-POINT METHOD FOR LINEAR OPTIMIZATION

It is well known that each kernel function defines primal-dual interior-point method (IPM). Most of polynomial-time interior-point algorithms for linear optimization (LO) are based on the logarithmic kernel function ([9]). In this paper we define new eligible kernel function and propose a new search direction and proximity function based on this function for LO problems. We show that the new algorithm has and iteration complexity for large- and small-update methods, respectively. These are currently the best known complexity results for such methods.
Histogram Filter for Attitude Determination of Small Asteroid Lander

The Mobile Asteroid Surface Scout (MASCOT) is a small landing package build by the German Aerospace Center (DLR) jointly with the French Space Agency (CNES). MASCOT will fly onboard the Japanese space probe Hayabusa-II, built by the Japan Aerospace Exploration Agency (JAXA) and is scheduled to be launched in late 2014 on a 5-year sample return mission to the Near-Earth Asteroid 1999 JU3. The lander is equipped with four science instruments which will take detailed close-up pictures and make a variety of in-situ measurements. MASCOT has a cubic shape roughly 29 cm x 27,5 cm x 20 cm and weighs about 10 kg. An internal mechanism with an eccentric tappet can be used to reorient MASCOT if needed and relocate to a different site to increase its investigation area. After the arrival and a characterization of the asteroid, MASCOT will be dropped from the Hayabusa-II mothership and will land passively on the asteroid surface. Before starting science measurements MASCOT must lie on the correct side. The attitude determination system consists of 2 types of sensors: solar cell based sun sensors on each side of MASCOT as well as 5 optical proximity sensors (OPS). The latter consists of an LED and a photodiode which can detect the reflected LED light when MASCOT is in proximity to the surface. A histogram filter is used for attitude determination and multi sensor data fusion. It is a bayesian filter used to estimate states which can be divided in a finite number of possible values. This is useful for MASCOT since all that is needed is an estimation of the side on which it is lying. This paper focuses on the attitude determination system of MASCOT. It describes the attitude determination sensors and the details of the filter algorithm. It also presents simulation results for system verification, as well as planned Monte-Carlo simulation and Hardware-in-the-Loop tests.
Standardized strategy assessment as a contribution to banks' corporate ratings

The assessment of strategic opportunities and threats has been a key element of corporate ratings to assess companies for their current and in particular future creditworthiness since the enforcement of the new capital regulations for issuing loans in Europe (Basel II). The existing, often inaccurate statement of strategic criteria which is in strong contrast to the high requirements for standardization in rating models is particularly problematic when considering these strategic aspects. Although a wide range of models already exist to analyze the current financial, profit and liquidity situa-tion, they frequently only reveal the consequences of potential strategies. In contrast, models that are better suited to assessing key strategic issues are often inadequately applied as effective approaches are lacking. It is essential to firstly identify and systemize the most important information before developing a suitable framework for assessing the strategy. Then this information must be made assessable in a standardized form. Our contribution is a framework for the strategic analysis of the corporate environment that includes internal strengths as well as external opportunities and threats in a simple, standardized way. The resulting 17 strategic indicators are integrated into a structure equation model that is used to empirically test the interaction postulated in advance between the indicators and strategy assessment. The resulting model not only explains just under 50% of the strategic positioning rating by the companies’ own managed but also provides statements on the importance and interaction of various strategic influencing factors.
ELUCID. VI. Cosmic Variance of the Galaxy Distribution in the Local Universe

Halo merger trees are constructed from ELUCID, a constrained N-body simulation in the Sloan Digital Sky Survey (SDSS) volume. These merger trees are used to populate dark matter halos with galaxies according to an empirical model of galaxy formation. Mock catalogs in the SDSS sky coverage are constructed, which can be used to study the spatial distribution of galaxies in the low-z universe. These mock catalogs are used to quantify the cosmic variance (CV) in the galaxy stellar mass function (GSMF) measured from the SDSS survey. The GSMF estimated from the SDSS magnitude-limited sample can be affected significantly by the presence of an underdense region at z < 0.03, so that the low-mass end of the function can be underestimated significantly. Several existing methods designed to deal with the effects of the CV in the estimate of the GSMF are tested, and none is found to be able to fully account for the CV. We propose a method based on conditional stellar mass functions in dark matter halos, which can provide an unbiased estimate of the global GSMF. The application of the method to SDSS data shows that the GSMF has a significant upturn at M* < 109.5 , which has been missed in many earlier measurements of the local GSMF.
Development of pseudo-ductile hybrid composites with discontinuous carbon- and continuous glass prepregs

Sandwich (layer-by-layer) type hybridisation is a promising method to overcome the brittle and usually catastrophic failure of conventional composites. The new concept of combining discontinuous and continuous layers to improve the performance of hybrid composites is presented. The paper reports on the pseudo-ductility demonstrated with unidirectional discontinuous carbon/continuous glass sandwich hybrid composites. The stress-strain response of the new material architecture was analysed, and the pseudo yield strains of various specimen configurations were accurately predicted using an approach based on mode II energy release rate calculations. The effect of specimen thickness and carbon platelet length on the stress-strain response was studied and presented.
Evaluating the Fate of Manure Nitrogen in Confined Dairy Waste Operations: a Full-Scale Waste Analysis and Start-Up Protocol for an Anammox-Based Treatment Technology Applicable to Dairy Waste Management

In an effort to develop cost-effective technologies for the removal of ammonium nitrogen from dairy waste, a novel biological wastewater treatment process, utilizing anaerobic ammonium oxidation (anammox), referred to as Oxygen-Limited Autotrophic Nitrification and Denitrification (OLAND) was examined. Due to the potential use of OLAND-based systems in dairy manure management, a detailed water quality assessment of a modern dairy farm manure treatment-system was conducted. The Johnson Highland Dairy Farm, Glade Spring, Virginia, was selected for this assessment and a comprehensive analysis of the wastewater characteristics throughout the confined animal feeding operation was completed. The results suggest that ammonia concentrations in the anaerobic storage facility was high enough to justify use of treatment technologies that reduce ammonia loads in stored dairy waste. A lightly loaded Fixed Film Bioreactor (FFBR), in which the OLAND process was desired to occur, was then constructed in the laboratory and monitored over 51 days. Of particular interest was the time taken to achieve stable performance of this OLAND system. Furthermore, a protocol was developed to determine whether OLAND based metabolism was occurring. Ammonium nitrogen removal efficiency in the FFBR throughout the 51-day monitoring period was high, averaging approximately 95 % for the length of the study. From day 32 to 51, simultaneous removal of both NH4 and NO2 with a low level of concomitant NO3 production was observed, a key indicator of possible anammox activity. Stoichiometric ratios calculated for the FFBR compared favorably with those already established for OLAND systems. The developed protocol, incorporating anaerobic and aerobic batch experiments, to verify the occurrence of OLAND based metabolism did not yield expected results and described poorly what was being observed in the FFBR. Volatilization of ammonia during the experimental test was suspected and should be controlled when the protocol is performed in the future.
Various Approaches for Face Recognition and Detection: A Survey

Face is the personality of a man. The strategy to abuse this physical usefulness has experienced an incredible change since the coming of picture handling strategies. Facial acknowledgment innovation is an essential approach in our day by day lives. It is for the most part used to recognize an individual and give security in different parts of life.It becomes very tough for the researcher to obtain the best facial recognition rate in a different situation and criteria. Facial recognition is the capacity to perceive individuals in light of their facial highlights. Face recognition is a very popular area of computer vision to make applications based on image analysis. Places such as airports, military, universities, banks and ATMsface detection and recognition plays an important role. There are various methods for face recognition. In this paper, we had discussed various face detection and recognition methods.
Using Gene Expression Signatures to Dissect Insulin Resistance Subtypes

It is now apparent that many diseases such as diabetes are more complex and heterogeneous than had been thought just a decade ago. Combinations of varying causative factors, as well as interactions between environmental and genetic factors all play a role in the onset of the disease. This complexity has hindered the development of new effective treatment options for patients, and makes understanding the onset of the disease difficult. This chapter will focus on a new technology to study diabetes using a novel unbiased approach, and to develop individualised therapeutics for patients with diabetes.
Investigations of photonic crystal fiber splicing

Splicing between single mode fiber (SMF) and photonic crystal fiber (PCF) using conventional electric arc splicer is not easily achieved, the condensation within the capillaries resulted in bubble developed at the fiber-ends in the midst of splicing is observed. A novel and effective splicing technique using CO/sub 2/ laser has successfully eliminated this limitation and a complete splicing process is achieved within few seconds. The splice losses have been recorded to be in the range of 1.3-2.8 dB; the high splice losses are possibly due to the field mode discrepancy of the sampled PCF with a diameter of 100 /spl mu/m.
HIGH ISOLATION DBR DIPLEXER USING IN-LINE

A new microstrip diplexer with very high output isolation and low insertion losses is presented in this letter. With the adoption of the spiral compact microstrip resonant cell (SCMRC) form into the dual behavior resonator (DBR) microstrip filter design, a bandpass filter with high rejection in the upper stopband can be achieved. Therefore, very high output isolation for the diplexer can be realized. Furthermore, the proposed diplexer also has a property of low insertion loss in the passband. To validate the design theory, one demonstrator diplexer has been designed and fabricated; the results indicate that the proposed diplexer has good performance of simple structure, better than 65 dB output isolation in the stopband, and less than 1.2 dB insertion losses in the passband.
QUALITY OF LIFE AND WORK LIMITATION AMONG SURVIVORS OF BREAST CANCER AT ZAGAZIG UNIVERSITY HOSPITALS, EGYPT

Introduction: The number of breast cancer survivors is increasing worldwide in the labor market. The average age of Egyptian women who have breast cancer is significantly younger than the average age of American and European women. Survivors of breast cancer encounter stressful experience that affect their quality of life (QOL) and work productivity. Aim of work: To assess the quality of life (QOL) and work limitations among survivors of breast cancer and to determine the medical and socio-demographic predictors of both QOL and work limitations among the studied sample. Materials and Methods: A total of 134 survivors of breast cancer attending the Oncology and Nuclear Medicine outpatient clinics in Zagazig University Hospital were studied through the EORTC QLQ-C30 and EORTC QLQ –BR23 (the Arabic versions) and a questionnaire based upon the English version of the Work Limitations Questionnaire. Results: The studied participants mean age was 48.32±8.68, and 68.66% of them work for more than forty hours per week. The studied females reported low mean scores of EROTC QLQ –C30 and BR-23 scales. The EROTC global QOL scores were significantly affected by: treatment type, years since cancer diagnosis, disease stage II and III, and working hours per week. The percentage of work productivity loss was 8.3% and it was significantly affected by: treatment type, years since cancer diagnosis, years since completing primary cancer treatment, and disease stage II and III. Conclusion: Working women with breast cancer in Egypt experience low scores of quality of life and need more attention and support programs to cope with their health status, treatment type, and work requirements.
Streaming Network Traffic Analysis Using Active Learning

v List of Abbreviations Used . vi Acknowledgements . viii Chapter
An asymmetric shortest queue problem

In this paper we study a system consisting of two identical servers, each with exponentially distributed service times. Jobs arrive according to a Poisson stream. On arrival a job joins the shortest queue and in case both queues have equal length. he joins queue 1 say with probability q and queue 2 with probability 1-q, where q is not necessarily equal to ½ (which corresponds to the symmetric shortest queue problem) but arbitrary between 0 and 1. We show that the stationary queue length distribution can be represented by an infinite sum of product form solutions, which satisfy nice recurrence relations. Due to the recurrence relations. the successive terms of the infinite sum can be easily calculated. Moreover, the convergence of the infinite sum is exponentially fast. Based on these properties, a numerically highly attractive algorithm is obtained.
An Approach for Signal Discrimination Based on Category-Preserving BoW

This study proposes a novel category-preserving ba g-of-words model for 1D signals discrimination (CPBoW-1D). In the proposed CPBoW-1D, the Taguchi’s quality engineering method was used for developing a category-preserving distance (CPD) metric for executing a clustering process to generate category-preserving codewords (CPWs). This facilitated preserving the categorical information in the codebook and consequently increased the effectiveness of the discrimination process. The proposed mathod was verified through an experiment that involved discriminating musical instruments. The results indicated that the proposed framework demonstrated an average discrimination accuracy of 87.39% for 18 musical instruments, which is superior to other benchmark methods. KE YWORDS Bag-of-Words, Category-Preserving, Signal Di scrimination, Taguchi’s Quality Engineering, Musical Instrument Classification.
Wages and Incentives in the Portuguese Public Sector

micro datasets for private and public employees, collected in 1996, 1999 and 2005. This time span, though relatively short, allows us to go beyond a static analysis and pinpoint some features that appear to be changing in recent years. While the literature comparing different aspects of the private and public pay systems is extensive, there are not many papers addressing this type of issues for Portugal. A first analysis of this kind was made by Portugal and Centeno (2001) using survey data. Centeno and Pereira (2005) studied the determination of wages in general government based on the same dataset for 1999 we use, but without the benchmark provided by the private sector. This paper takes the analysis further, exploring the datasets for the two sectors in several dimensions. The article deals with two main issues. The first one concerns incentives linked to the wage level, which are investigated mainly by looking at the premium associated with working in the public sector. This premium is calculated by netting out the effect of the differences in observed characteristics of workers from the raw wage gap between the two sectors. It thus measures the inequality in the returns to those characteristics. We start by focusing on the overall premium and how it has changed for specific groups of workers, namely, men and women and workers in more and less developed regions, and across different points of the wage distribution (Section 3). Section 4 concentrates on the employees with higher education and, specifically, attempts to assess the public sector’s ability to attract and retain the best professionals. The issue is investigated on the basis of premia and wage compression, as a whole and also for specific occupational categories. In this section, we also make some considerations about how the interaction of the public and private sectors in the market for highly-skilled labour seems to have influenced the way wages have changed.
Mining Significant Subspaces

As both the number of dimensions increases, existing clustering methods in full feature space are not appropriate to cluster data in databases. Thus, the subspace clustering has attracted more and more attention recently. In this paper, we propose a novel method to mine significant subspaces from all frequent subspaces, where a subspace is frequent if it contains enough data points. The proposed method consists of three phases. First, we generate all frequent 2-dimensional subspaces. Second, we recursively combine frequent k-dimensional subspaces to generate frequent (k+1)-dimensional subspaces, k≥2. Finally, we adopt a greedy algorithm to summarize the frequent subspaces generated and select the significant ones. The experimental results show that the proposed method has better quality and coverage than DUSC, and better quality than FIRES.
VARIATIONS OF BRANCHES OF AORTIC ARCH IN NORTH INDIAN POPULATION: A COMPUTED TOMOGRAPHIC STUDY

Address for Correspondence: Dr. Hema Nagpal, Senior Resident, Department of Anatomy, University College of Medical Sciences and GTB Hospital, Delhi, India. Phone: 91-9999072711 E-Mail: hemanagpal30@gmail.com Background: The major branches of arch of aorta are the great ways for blood supply to the head and upper limb.The aim of this study was to observe the variations in branching pattern of aortic arch and correlate it embryologically and clinically. Materials and methods: Computed topographic images of aortic arch region from 110 patients were studied retrospectively. Out of 110 patients, 62 were male and 48 female and were of 3 month to 75 years age. The images were reviewed for normal and variant anatomy of aortic arch and the results were analyzed statistically. Results: Normal branching pattern of AA was observed in 61.81% (n=68) of cases. In 27.27% (n=30) cases a common trunk originated from the aortic arch that gave rise to brachiocephalic trunk and left common carotid artery and second branch was left subclavian artery. In 10.89% subjects (n=12) left vertebral artery (LVA) was an additional branch apart from three normal branches of AA. LVA had different mode of origin in these cases. Conclusion: A variant of origin and course of a great vessel arising from the aortic arch is of great clinical value, because lack of knowledge of these variations may lead to serious surgical complications while doing procedures in the superior mediastinum and root of neck.