Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of an Empathy Training Program to Prevent Emotional Maladjustment Symptoms in Social Professions

This study examined the impact of a 4-day empathy training program for social professions. The major focus of the training was to enhance reflected empathic behavior as a resource in emotionally tense situations by strengthening self-other differentiation and emotional self-acceptance. It was hypothesized that maladjustment symptoms such as depressiveness and irritation would decline as a consequence. The sample analyzed in this randomized control study evaluating the training program was comprised of 319 health care trainees at the graduate level (intervention group n = 147, control group n = 172). Longitudinal follow-up data were collected before and 3 months after the training. Measures of emotional competences and maladjustment symptoms were taken. Results showed significant change in emotional self-acceptance, resilience, emotional self-perception, self-other-differentiation, irritation, and psycho-social maladjustment symptoms in the intervention group compared with the control group. Self-other differentiation was found to be a small yet significant mediator.
Comorbidities in Inflammatory Bowel Disease

Inflammatory bowel disease (IBD) classically consists of ulcerative colitis and Crohn’s disease, which are typically characterized by progressive cyclical attacks of abdominal pain, diarrhea and fatigue. Other highly prevalent clinical features of IBD include psychiatric disorders such as mood and anxiety, which may occur in 60-80% of patients during relapse. Stressful live events seem to precipitate IBD diagnosis, and are related to a significantly increased risk of disease relapse. Alternatively, an IBD diagnosis itself is associated with an increased risk for the development of anxiety and depression. These conditions lead to significantly worsened prognosis, increased risk of relapse, increased healthcare utilization, and decreased quality of life. Risk factors known to predict anxiety and depression in patients with IBD include female gender, presence of other medical comorbidities, severe and active disease, and socioeconomic deprivation. Thus, increased clinical suspicion for comorbid mood or anxiety disorders must be made once a diagnosis of inflammatory bowel disease is established, with appropriate followup. This review summarizes the literature regarding the relationship between IBD and the development of psychiatric disorders.
OpenDTrace Specification version 1.0

OpenDTrace is a dynamic tracing facility offering full-system instrumentation, a high degree of flexibility, and portable semantics across a range of operating systems. Originally designed and implemented by Sun Microsystems (now Oracle), user-facing aspects of OpenDTrace, such as the D language and command-line tools, are well defined and documented. However, OpenDTrace’s internal formats – the DTrace Intermediate Format (DIF), DTrace Object Format (DOF) and Compact C Trace Format (CTF) – have primarily been documented through source-code comments rather than a structured specification. This technical report specifies these formats in order to better support the development of more comprehensive tests, new underlying execution substrates (such as just-in-time compilation), and future extensions. We not only cover the data structures present in OpenDTrace but also include a complete reference of all the low level instructions that are used by the byte code interpreter, all the built in global variables and subroutines. Our goal with this report is to provide not only a list of what is present in the code at any point in time, the what, but also explanations of how the system works as a whole, the how, and motivations for various design decisions that have been made along the way, the why. Throughout this report we use the name OpenDTrace to refer to the open-source project but retain the name DTrace when referring to data structures such as the DTrace Intermediate Format. OpenDTrace builds upon the foundations of the original DTrace code but provides new features, which were not present in the original. This document acts as a single source of truth for the current state of OpenDTrace as it is currently implemented and deployed.
AN HP / SPECTRAL ELEMENT UNIFIED BOUSSINESQ FRAMEWORK FOR WAVE-FLOATING BODY INTERACTION

This work is concerned with the development of a new efficient and accurate nonlinear tool for floating Wave Energy Converter (WEC) analysis. Floating WECs are structures that can harvest energy from the wave motion. Employed nearshore, they are gaining interest in the renewable energy community for the low ecological and landscape impact and the predictability of wave state [1]. The interactions between WECs and waves are traditionally modeled using linear radiation diffraction models [5]. Lately, Reynolds averaged Navier-Stokes (RaNS) models are being employed for research purposes aimed at maturing engineering practices through simulation tools that capture the nonlinear properties of waves [6]. However, the first fails in capturing viscous
Feature point detection in multiframe images

Feature point (FP) detection is an important pre- processing step in image registration, data fusion, objec- t recognition and in many other tasks. This paper deals with multiframe FP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and shifted with respect to each other. We present a new method invariant under rotation that can handle differ- ently blurred images. Thanks to this, the point sets extracted from different frames have relatively high number of common elements. This property is highly desirable for further multi- frame processing. The performance of the method is demon- strated experimentally on satellite images and application on medical data is
Self Emulsified Drug Delivery System for the Enhancement of Oral Bioavailability of Poorly Water Soluble Drugs

Oral route still remains the favorite route of drug administration in many diseases and till today it is the first way investigated in the development of new dosage forms. But the major problem is that oral delivery is not possible for 50% of currently marketed drug compounds due to low and erratic bioavailability, which mainly results from poor aqueous solubility. This may lead to high inter- and intra subject variability, lack of dose proportionality and therapeutic failure. The improvement of bioavailability of drugs with such properties presents one of the greatest challenges in drug formulations. Among the approaches to improve the oral bioavailability of these molecules, the use of self-emulsified drug delivery systems (SEDDS) has been shown to be reasonably successful in improving the oral bioavailability of poorly water-soluble and lipophilic drugs. The present review examines the recent advances in Solid SEDDS (S-SEDDS) with regard to the selection of lipid systems for current formulations, solidification techniques and the development of solid SE (self-emulsifying) dosage forms and their related problems and possible future research directions.
Measurement of the Masses and Widths of the Sigma_c^++ and Sigma_c^0 Charmed Baryons

Using data recorded by the CLEO II and CLEO II.V detector configurations at CESR, we report new measurements of the masses of the Sigma_c^{++} and Sigma_c^0 charmed baryons, and the first measurements of their intrinsic widths. We find M(Sigma_c^{++}) - M(Lambda_c^+) = 167.4 +- 0.1 +- 0.2 MeV, Gamma(Sigma_c^{++}) = 2.3 +- 0.2 +- 0.3 MeV, and M(Sigma_c^0) - M(Lambda_c^+) = 167.2 +- 0.1 +- 0.2 MeV, Gamma(Sigma_c^0) = 2.5 +- 0.2 +- 0.3 MeV, where the uncertainties are statistical and systematic, respectively.
A Comparative Power-Performance Analysis of Microarchitecture Effects on Heterogeneous CPU-GPU

 Our experimental results show that for all the compute intensive workloads capable of parallel processing, eightcore with four issue-width is the optimal design which is high performing as well as energy and thermal efficient; except for Ferret which recorded a meagre 1.75% drop in IPS performance as compared to its best run with eight cores with eight issue-width. However, eight-core eight issue-width has the best execution time for X264 & four core with four issue-width for ferret when compared to others.
Robust Part-Based Hand Gesture Recognition Using Finger-Earth Mover’s Distance

Hand gesture recognition is of great importance for human-computer interaction (HCI), because of its extensive applications in virtual reality, sign language recognition, and computer games. Despite lots of previous work, traditional vision-based hand gesture recognition methods are still far from satisfactory for real-life applications. Because of the nature of optical sensing, the quality of the captured images is sensitive to lighting conditions and cluttered backgrounds, thus optical sensor based methods are usually unable to detect and track the hands robustly, which largely affects the performance of hand gesture recognition. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand gestures. This work focuses on building a robust part-based hand gesture recognition system. To handle the noisy hand shapes obtained from digital camera, we propose a novel distance metric, Finger-Earth Mover’s Distance (FEMD), to measure the dissimilarity between hand shapes. As it only matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight differences. The experiments demonstrate that proposed hand gesture recognition system’s mean accuracy is 80.4% which is measured on 6 gesture database .
Clinica l Named Entity Recognition via Bi-directional LSTM-CRF Model

EMR (Electronic Medical Record) refers to the systematized collections of patients’ electronically-stored health information in a digital format. Clinical Named Entity Recognition aims to recognize and extract entity mentions from EMR. In this paper, we introduce a novel neural network architecture based on bidirectional LSTMs and conditional random fields, requiring no massive hand-crafted features or data pre-processing, compared to traditional statistical methods such as HMM and CRF.
Bayes Linear Analysis of Sequential Optimal Design Problems

In a statistical or physical model, it is often the case that a set of design inputs must be selected in order to perform an experiment to collect data with which to update beliefs about a set of model parameters; frequently, the model also depends on a set of external variables which are unknown before the experiment is carried out, but which cannot be controlled. Sequential optimal design problems are concerned with selecting these design inputs in stages (at different points in time), such that the chosen design is optimal with respect to the set of possible outcomes of all future experiments which might be carried out. Such problems are computationally expensive. We consider the calculations which must be performed in order to solve a sequential design problem, and we propose a framework using Bayes linear emulators to approximate all difficult calculations which arise; these emulators are designed so that we can easily approximate expectations of the risk by integrating the emulator directly, and so that we can efficiently search the design input space for settings which may be optimal. We also consider how the structure of the design calculation can be exploited to improve the quality of the fitted emulators. Our framework is demonstrated through application to a simple linear modelling problem, and to a more complex airbourne sensing problem, in which a sequence of aircraft flight paths must be designed so as to collect data which are informative for the locations of ground-based gas sources.
The 2018 DAVIS Challenge on Video Object Segmentation-CVPR 2018 Workshops

One of the major difficulties in semi-supervised video segmentation is to correctly track every pixel within consecutive frames. Optical flow algorithms are designed to solve this pixel-wise tracking problem, but they perform poorly when large object displacement, occlusion or drifting occurs. Tracking large group of pixels (segments) significantly reduces the tracking complexity. However, accurate segmentation of regions of interest constitutes an additional challenge to the problem. To address this issue, we propose a post-processing framework which consists (i) in refining the edges detected in the current frame, (ii) in using these edges as input to a novel segmentation algorithm (referred to as PALC), and (iii) for each of the obtained segment in extracting features from the optical flow and onAVOS algorithms, and feeding these features to a random forest predictor. The proposed framework yields performance improvements, and further provides an interactive tool for fast and detailed refinements of the given frame where the algorithm fails to produce high-quality segmentation.
The importance of maternal nutrition for health

Nutrition plays a major role in maternal and child health and it is widely recognized that optimum nutrition in early life is the foundation for long-term health. A healthy maternal dietary pattern, along with adequate maternal body composition, metabolism and placental nutrient supply, reduces the risk of maternal, fetal and long-term effects in the offspring. While undernutrition is mainly an issue of low-income countries, malnutrition, due to poor quality diet, is becoming a global health problem.Preconceptional counseling of women of childbearing age should spread awareness of the importance of maternal nutrition before and during pregnancy and should promote a cultural lifestyle change, in favor of a healthy weight before conceiving and balanced healthy diet with high-quality foods consumption. Supplementation and/or fortification can make a contribution when recommended micronutrient intakes are difficult to be met through food alone. In industrialized countries, although a balanced diet is generally accessible, a switch to a high-fat and low-quality diet has led to inadequate vitamin and mineral intake during pregnancy. Evidence do not support a routine multiple micronutrient supplementation but highlights the importance of an individualized approach, in order to recognize nutritional deficiencies of individuals, thus leading to healthful dietary practices prior to conception and eventually to tailored supplementation. Proceedings of the 11th International Workshop on Neonatology and Satellite Meetings · Cagliari (Italy) · October 26th-31st, 2015 · From the womb to the adultGuest Editors: Vassilios Fanos (Cagliari, Italy), Michele Mussap (Genoa, Italy), Antonio Del Vecchio (Bari, Italy), Bo Sun (Shanghai, China), Dorret I. Boomsma (Amsterdam, the Netherlands), Gavino Faa (Cagliari, Italy), Antonio Giordano (Philadelphia, USA)
Transcranial Magnetic Stimulation of Early Visual Cortex During Transsaccadic Integration of Object Features

ii ACKNOWLEDGEMENTS.iii TABLE OF CONTENTS.iv LIST OF FIGURES.vi CHAPTER 1: GENERAL INTRODUCTION.1 Section 1.1: Overview.2 Section 1.2 Visual Input and Processing Pathways.3 Section 1.3 Visual Short Term Memory (VSTM). 11 Section 1.4 Saccades.15 Section 1.5 Spatial Updating and Remapping.16 Section 1.6 Trans-saccadic Memory and Integration.19 Section 1.7 Purpose of current thesis.23 CHAPTER 2: GENERAL METHODOLOGY.26 Section 2.1Functional Magnetic Resonance Imaging (fMRI): Overview.26 Section 2.2 fMRI Localizer.27 Section 2.3 Psychophysics.30 Section 2.4 Transcranial Magnetic Stimulation (TMS). 34 Section 2.41: Overview.34 Section 2.42 Safety.37 Section 2.43: Positioning the coil over the visual cortex.38 Section 2.44: Current Study.41 Section 2.5 Eye Position Recording.44
THz spectroscopy of VO2 epitaxial films: controlling the anisotropic properties through strain engineering

We use THz time-domain spectroscopy to investigate the far-infrared properties of vanadium dioxide thin films, strain-engineered through epitaxial growth on (100)R TiO2 substrates. The films exhibit a large uniaxial tensile strain along the rutile c-axis. X-ray diffraction measurements reveal a structural transition temperature of 340 K, whereas independent THz conductivity measurements yield a metal–insulator transition temperature of 365 K along cR. Analysis of these results suggests a Mott–Hubbard behavior along the cR-axis. Along cR the conductivity is approximately 5500 (Ω cm)−1, comparable to bulk single crystals. The tensile strain leads to remarkably uniform cracking oriented along the rutile c-axis, resulting in a large conductivity anisotropy in our single-crystal epitaxial thin films. We discuss our results in the context of previous measurements and calculations of the properties of VO2, under different strain conditions. This work demonstrates the potential of strain engineering to tune the properties of complex materials while also serving as a powerful discriminatory tool for probing microscopic responses.
The Effect of Performance Assessment-Driven Instruction on the Attitude and Achievement of Senior High School Students in Mathematics in Cape Coast Metropolis, Ghana

The study was a quasi-experimental research project conducted to investigate the effect of performance assessment-driven instructions on the attitude and achievement in mathematics of senior high school students in Ghana at Ghana National College in Cape Coast. Two Form 1 science classes were used for the study and were assigned as experimental and control groups. These two classes were randomly chosen for the study. The experimental group consisted of forty-two students and control group forty students. Data was collected through the use of an open ended test in mathematics and a questionnaire on students’ attitudes to mathematics. The questionnaire contained 15 Likert-type questions. The independent samples t-test was used to find the differences between the groups. The experimental group differed significantly on the post-test scores from the control group. This study identified that PA-driven instruction improved students’ problem-solving abilities and increased student confidence in doing mathematics because they felt more competent in working mathematical problems. The study also explored students’ attitude to mathematics through the use of a Likert-type questionnaire. The findings showed that students’ attitudes toward mathematics were generally positive. It is recommended that Ghana Education Service should organise in-service training for mathematics teachers on the use of PA-driven instructions and mathematics teachers should also integrate performance assessment-based tasks in their students’ exercises. Keywords: Performance assessment, Attitude
Fundamental Review of the Trading Book

Il Position Paper “Fundamental Review of the Trading Book” (di seguito “Position Paper”) si pone l’obiettivo di definire una best practice di mercato in termini di modelli di calcolo e modello operativo, sia per le banche con il solo modello standard sia per le banche a modello interno, allo scopo di garantire una compliance al nuovo framework normativo. A tale scopo, il documento si compone di quattro sezioni: - Contesto di riferimento - Modello Standard - Modello Interno - Governance e controllo
DBBC3: AntArr Project

Low frequency bands in a traditional VLBI networks suffer not only from RFI but also from the low efficiency of the radio telescopes. Dedicated arrays have to be used which have to maintain all the constraints of a VLBI station, e.g., phase stability. With this aim a project with an alternative application of the DBBC3 was set up and is presented, where a set of antennas operating at frequencies lower than 1 GHz are combined into an array. The individual antennas cover the broadband frequency range from 10 MHz to 1000 MHz.
Comparative analysis of free and scuba diving for benthopelagic and cryptic fish species associated with rocky reefs

This work aimed to assess, through experimental comparisons between free and scuba diving performed in Arraial do Cabo city, RJ, Brazil, the abundances of Scartella cristata e Chaetodon striatus -two reef fish species of contrasting behaviors- in different depth layers of sheltered and exposed rocky reefs. C. striatus was homogeneously distributed through all the depth strata (0-10 m) and scuba diving should be preferred over free diving to assess the abundance of this species at exposed rocky shores, undergoing continuous effects of waves and winds. Both free and scuba diving can be used indistinctly and with no data biases to appraise the abundances of C. striatus in non-turbulent reefs or in shallow zones (i.e., ≤5 m) of exposed reefs, and, for S. cristata, in all depth layers (i.e., up to 10 m) of both sheltered and exposed reefs. Although the abundances of S. cristata did not significantly differ between free and scuba diving, contrasting with most previous studies that stressed the risk of the first method to underestimate the abundance of small and cryptic species, it should be considered that the previous experience of the diver and the nature of our study (i.e., focused specifically on a cryptic species) may have contributed to our findings. Further studies are, however, necessary to test our findings in different conditions (i.e., depths, hydrodynamic characteristics, and habitat complexity) and for other tropical reef fish species, in order to increase the truthfulness of underwater visual census and reduce the risk of failure of fish conservation and management programs potentially based on biased data.
Title VECTOR QUANTIZATION WITH DIFFERENCE DISTORTION MEASURES

This paper presents the performance of the vector quantization with the difference distortion measures. In Chapter 1, the outline of this work is described after introducing the basic concept of the quantization. In Chapter 2, the asymptotic bounds to the optimal performance of vector quantizers with finite block length are derived for the general distortion measures that are increasing functions of the seminorm of their argument, where any seminorm is allowed. When the distortion measure is a power of a seminorm the bounds are shown to be strictly better than the corresponding bounds provided by the k-th order rate distortion functions. In Chapter 3, the asymptotic performance of variancemismatched vector quantizers is investigated. It is demonstrated by both asymptotic analysis and computer simulations that well-designed vector quantizers are inherently more invulnerable to variance mismatch than conventional scalar quantizers. In Chapter 4, the vector quantization is then applied to video signals. Based on the asymptotic analysis in Chapter 2, the vector quantization with maximum error distortion measure is discussed. Computer simulations are also performed to demonstrate the effectiveness of the vector quantization for real video signals. In Chapter 5, the principal results of this work are summarized.