Miracle-dz/UniFAR-FTUs huggingface dataset:
Patterns of alcohol consumption and social consequences. Results from an 8-year follow-up study in Switzerland.

AIMS (1) To estimate the impact of drinking patterns on negative social (behaviour) consequences. (2) To test for the additional impact of overall volume of alcohol consumed on these social consequences. (3) To explore whether the impact on social consequences of drinking patterns is comparable for measures that do and do not explicitly mention alcohol consumption. DESIGN AND SETTING An 8-year follow-up to a 1987 study of the Swiss general population carried out through face-to-face interviews; the follow-up data presented in this article was collected in 1995 through a mailed questionnaire. PARTICIPANTS Nine hundred and fifty-three respondents from the 1987 survey who also completed the mailed questionnaire in 1995. MEASUREMENTS Variables used were as follows: volume of drinking, eight drinking patterns differentiated by volume and frequency, four social consequences without mention of alcohol and six with mention of alcohol. All multivariate analyses control for sex, age and linguistic region. FINDINGS High volumes of drinking per occasion predicted negative social consequences independently of overall drinking volume. This finding was independent of explicit mention of alcohol in item formulation. For unemployment and accidents, if assessed independently of alcohol consumption, no significant relationship with either overall volume of drinking or drinking pattern was observed. CONCLUSIONS Patterns of alcohol consumption are an important determinant of social problems. Future research with better design is necessary to establish their exact risk relations with different social consequences.
Depicting shape, materials and lighting: observation, formulation and implementation of artistic principles

The appearance of a scene results from complex interactions between the geometry, materials and lights that compose that scene. While Computer Graphics algorithms are now capable of simulating these interactions, it comes at the cost of tedious 3D modeling of a virtual scene, which only well-trained artists can do. In contrast, photographs allow the instantaneous capture of a scene, but shape, materials and lighting are difficult to manipulate directly in the image. Drawings can also suggest real or imaginary scenes with a few lines but creating convincing illustrations requires significant artistic skills. The goal of my research is to facilitate the creation and manipulation of shape, materials and lighting in drawings and photographs, for laymen and professional artists alike. This document first presents my work on computer-assisted drawing where I proposed algorithms to automate the depiction of materials in line drawings as well as to estimate a 3D model from design sketches. I also worked on user interfaces to assist beginners in learning traditional drawing techniques. Through the development of these projects I have formalized a general methodology to observe how artists work, deduce artistic principles from these observations, and implement these principles as algorithms. In the second part of this document I present my work on relighting multiple photographs of a scene, for which we first need to estimate the materials and lighting that compose that scene. The main novelty of our approach is to combine image analysis and lighting simulation in order to reason about the scene despite the lack of an accurate 3D model.
Hierarchical Learning for DNN-Based Acoustic Scene Classification

In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchical taxonomy information of environmental sounds. Firstly, the parameters of the DNN are initialized by the proposed hierarchical pre-training. Multi-level objective function is then adopted to add more constraint on the cross-entropy based loss function. A series of experiments were conducted on the Task1 of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2016 challenge. The final DNN-based system achieved a 22.9% relative improvement on average scene classification error as compared with the Gaussian Mixture Model (GMM)-based benchmark system across four standard folds.
A Novel Battery Charger for Automotive Applications

In this paper, a new power electronics topology is introduced for battery pulse charging. The topology is based on a bidirectional isolated Cuk converter. The charging method provides positive and negative current and resting periods. This charging method results in less generated heat and longer battery life cycle. Different operating modes of the system and its small signal analysis are presented. The small signal system has been modeled using MATLAB. Simulation results are also provided to validate the mathematical analysis
Beyond the Test of the Four Channel Model of Flow in the Context of Online Shopping

In this study we investigate the effects of user skill and task challenge on online shoppers’ experiences. We use a model suggested by flow theory in which shoppers are grouped into four categories (flow, anxiety, boredom, and apathy) based on their perceptions of task challenge and their skill in performing an online shopping task. Results show that anxious shoppers have lower perceptions of the dimensions of flow, believe online shopping Web sites are less useful, and believe they are less likely to use the system in the future compared to the other three groups of online shoppers. In addition to challenge and skill, having a clear goal and fast feedback also contribute to the flow experience.
Fructose sensitivity is suppressed in Arabidopsis by the transcription factor ANAC089 lacking the membrane-bound domain

In living organisms sugars not only provide energy and carbon skeletons but also act as evolutionarily conserved signaling molecules. The three major soluble sugars in plants are sucrose, glucose, and fructose. Information on plant glucose and sucrose signaling is available, but to date no fructose-specific signaling pathway has been reported. In this study, sugar repression of seedling development was used to study fructose sensitivity in the Landsberg erecta (Ler)/Cape Verde Islands (Cvi) recombinant inbred line population, and eight fructose-sensing quantitative trait loci (QTLs) (FSQ1–8) were mapped. Among them, FSQ6 was confirmed to be a fructose-specific QTL by analyzing near-isogenic lines in which Cvi genomic fragments were introgressed in the Ler background. These results indicate the existence of a fructose-specific signaling pathway in Arabidopsis. Further analysis demonstrated that the FSQ6-associated fructose-signaling pathway functions independently of the hexokinase1 (HXK1) glucose sensor. Remarkably, fructose-specific FSQ6 downstream signaling interacts with abscisic acid (ABA)- and ethylene-signaling pathways, similar to HXK1-dependent glucose signaling. The Cvi allele of FSQ6 acts as a suppressor of fructose signaling. The FSQ6 gene was identified using map-based cloning approach, and FSQ6 was shown to encode the transcription factor gene Arabidopsis NAC (petunia No apical meristem and Arabidopsis transcription activation factor 1, 2 and Cup-shaped cotyledon 2) domain containing protein 89 (ANAC089). The Cvi allele of FSQ6/ANAC089 is a gain-of-function allele caused by a premature stop in the third exon of the gene. The truncated Cvi FSQ6/ANAC089 protein lacks a membrane association domain that is present in ANAC089 proteins from other Arabidopsis accessions. As a result, Cvi FSQ6/ANAC089 is constitutively active as a transcription factor in the nucleus.
Children diagnosed with both Type 1 diabetes and Celiac disease - An Immunological challenge

Type 1 diabetes (T1D) and celiac disease are both characterized by an autoimmune feature. As T1D and celiac disease share several common risk factors such as environment, genetics and immune dysregulation, patients have risk of developing the other disease subsequently. Patients with manifest T1D may have had a latent celiac disease, which is activated parallel to the anti-islet immune reactivity during the development of T1D. Contrary, a low prevalence of β-cell autoimmunity is found in young patients with celiac disease. The role of antigen-specific T cells and their relation to cytokines and chemokines is not well characterized in children with combination of T1D and celiac disease. Defective regulation and an impaired ability of responder T cells to be suppressed are suggested to contribute. We have previously shown that children suffering from these two immunological diseases in combination have a suppressed immune response to several antigens for example food antigens like gluten. Low percentages of both early and late effector memory CD8 + cells together with observations of immune aberrancies seen in the gut, in children who are prone to T1D, may suggests poor development of oral tolerance that may predispose for development of celiac disease. This review highlights the immunological complexity in these two common pediatric immunological disorders that indicates that the combination of type 1 diabetes and celiac disease is an immunological challenge. It is obvious that we are far from understanding the immunological impact of these two autoimmune diseases in combination. This immunological challenge therefore needs to be elucidated to be able to predict and prevent these autoimmune diseases.
Query Expansion Strategy based on Pseudo Relevance Feedback and Term Weight Scheme for Monolingual Retrieval

Query Expansion using Pseudo Relevance Feedback is a useful and a popular technique for reformulating the query. In our proposed query expansion method, we assume that relevant information can be found within a document near the central idea. The document is normally divided into sections, paragraphs and lines. The proposed method tries to extract keywords that are closer to the central theme of the document. The expansion terms are obtained by equi-frequency partition of the documents obtained from pseudo relevance feedback and by using tf-idf scores. The idf factor is calculated for number of partitions in documents. The group of words for query expansion is selected using the following approaches: the highest score, average score and a group of words that has maximum number of keywords. As each query behaved differently for different methods, the effect of these methods in selecting the words for query expansion is investigated. From this initial study, we extend the experiment to develop a rule-based statistical model that automatically selects the best group of words incorporating the tf-idf scoring and the 3 approaches explained here, in the future. The experiments were performed on FIRE 2011 Adhoc Hindi and English test collections on 50 queries each, using Terrier as retrieval engine.
Malignancy risk of oncocytic changes in thyroid nodules: who should we offer surgery to?

Abstract Background Oncocytic (Hürthle) cell in fine-needle aspiration biopsy (FNAB) remains challenging for surgeons. Surgical treatment is recommended for oncocytic change in FNAB, since it can sometimes be a struggle to determine the nature of thyroid nodules. We aimed to investigate the clinical significance of oncocytic changes in FNAB in terms of management of patients. Methods The FNAB samples of 172 patients with thyroid nodules were reviewed. Of these, 39 patients with cytologic findings of oncocytic changes on FNAB [POC: predominance of oncocytic cells; SFON-H: suspicious for follicular or oncocytic neoplasm (Hürthle cell type), SM-O: suspicious for malignancy-papillary or follicular carcinoma; oncocytic variant)] were included. Results FNAB demonstrated POC in 14 (35.8%), SFON-H in 15 (38.4%), and SM-O in 10 (25.6%) patients. The overall malignancy rate was 35.8% (n = 14). Clinical and laboratory data were not found to be associated with thyroid cancer while nodule size was significantly higher in patients with thyroid malignancy (15.2 versus 23.3 mm, p = 0.032). Regarding FNAB results including oncocytic changes, the rate of malignancy was significantly different and almost three-fold higher in nodules classified as SFON-H and SM-O [48% versus 14.2% with POC, p = 0.044]. Besides, there was a positive correlation between SFON-H and SM-O cytology and malignancy (p = 0.036, r = 0.337). Conclusions It is hard to discern the significance of oncocytic changes in FNAB report and to determine an optimal approach as a surgeon. We recommend surgery for the patients with an FNAB showing SFON-H and SM-O whereas POC should be better to be followed-up.
Securing Anonymizing Networks from Sybil Attacks

In bio-medicine and other health-related fields a need for anonymous access to Grid resources has been identified. Anonymity networks such as Tor provide users with a means to communicate privately over the Internet without disclosing their IP addresses. But the success of such networks, however, has been limited by users employing this anonymity for abusive purposes, such as defacing Wikipedia. In such cases, the Anonymizing networks as intended should disable access to misbehaving users while providing anonymous connections to the honest users. But the anonymity provided by such networks prevents website administrators from blacklisting individual malicious users IP addresses. As a result, administrators block all network nodes. To solve this problem, a system called NYMBLE was introduced which can blacklist malicious users without the knowledge of their IP addresses while allowing honest users to connect anonymously. But Anonymous authentication scheme may be vulnerable to Sybil attacks if users can get new credentials after their issued credential is blacklisted. In this paper, it is discussed how the Sybil Attacks can be prevented in the Anonymizing networks using a Central Authority whose role is to ensure that each pseudonym belongs to some valid user.
Pediatric optic neuritis

Optic neuritis (ON) is a common presenting symptom in pediatric CNS demyelinating disorders and may be associated with dramatic visual loss. Knowledge regarding clinical presentation, associated diseases, therapy, and outcomes in ON in children has grown over the past decade. These studies have shown that younger children (<10 years of age) are more likely to present with bilateral ON and older children with unilateral ON. Furthermore, studies focusing on visual recovery have shown excellent recovery of high-contrast visual acuity in the majority of children, but functional and structural studies have shown evidence of irreversible injury and functional decline after ON in children. Although randomized controlled treatment trials have not been performed in children and adolescents with ON, standard of care suggests that the use of high-dose pulse steroids is safe and likely effective. This article reviews current knowledge about the clinical presentation and management of pediatric ON, with attention to associated syndromes and evaluative tools that may inform diagnosis and interventions.
Impact of Raman Scattered Noise from Multiple Telecom Channels on Fiber-Optic Quantum Key Distribution Systems

In this paper, we analyze the impact of the spontaneous Raman scattered noise generated from multiple optical classical channels on a single quantum key distribution channel, all within the telecom C-band. We experimentally measure the noise generated from up to 14 continuous-wave laser sources with different wavelengths using the dense wavelength division multiplexing (DWDM) standard, in both propagation directions in respect to the QKD channel, over different standard SMF-28 fiber lengths. We then simulate the expected secure key generation rate for a decoy-states-based system as a function of distance under the presence of simultaneous telecom traffic with different modulation techniques, and show a severe penalty growing with the number of classical channels present. Our results show that, for in-band coexistence, the telecom channels should be distributed as close as possible from the quantum channel to avoid the Raman noise peaks. Operation far from the zero dispersion wavelength of the fiber is also beneficial as it greatly reduces the generation of four-wave mixing inside the quantum channel. Furthermore, narrow spectral filtering on the quantum channels is required due to the harsh limitations of performing QKD under real telecom environments, with the quantum and several classical channels coexisting in the same ITU-T C-band.
OCTOPUS: Efficient query execution on dynamic mesh datasets

Scientists in many disciplines use spatial mesh models to study physical phenomena. Simulating natural phenomena by changing meshes over time helps to better understand the phenomena. The higher the precision of the mesh models, the more insight do the scientists gain and they thus continuously increase the detail of the meshes and build them as detailed as their instruments and the simulation hardware allow. In the process, the data volume also increases, slowing down the execution of spatial range queries needed to monitor the simulation considerably. Indexing speeds up range query execution, but the overhead to maintain the indexes is considerable because almost the entire mesh changes unpredictably at every simulation step. Using a simple linear scan, on the other hand, requires accessing the entire mesh and the performance deteriorates as the size of the dataset grows. In this paper we propose OCTOPUS, a strategy for executing range queries on mesh datasets that change unpredictably during simulations. In OCTOPUS we use the key insight that the mesh surface along with the mesh connectivity is sufficient to retrieve accurate query results efficiently. With this novel query execution strategy, OCTOPUS minimizes index maintenance cost and reduces query execution time considerably. Our experiments show that OCTOPUS achieves a speedup between 7.3 and 9.2× compared to the state of the art and that it scales better with increasing mesh dataset size and detail.
The need for creative skills in design engineering, and how education can develop them

A survey of small to medium-sized enterprises (SMEs) was carried out, in the high-technology and hardware design services industries in Scotland, with an emphasis on innovation. The survey was to investigate the changing needs of such industry for innovation skills in its employees, and whether those needs are being met by graduates from further education and higher education. For this purpose, two colleges of further education were also studied. An analysis of the survey found that the industry is changing its employment practices and that education providers, in their turn, are also changing, in order to better serve the needs of industry. Leading further education colleges are investing in better training facilities and forging closer links with industry. They are successfully attracting more training interest from the SMEs, too. There is also a move towards more development of soft skills in students, which makes them better prepared for modern industry. Universities are turning their attention toward creative skills in general. We give an example of student project work, that aims to exercise all the skills identified from the surveys. However, the findings are inconclusive as to whether the current changes in education practices will be enough to meet the challenges of creative work in particular. Consideration of a psychological theory of creativity leads to implications regarding the social conditions required to sustain creative workers. The resulting challenges may be too much for us to answer. The education sector itself needs to respond to this situation with creativity of its own.
RF transmission over multimode fibers using VCSELs-comparing standard and high-bandwidth multimode fibers

Fiber-optic radio-frequency links have been assembled using oxide-confined vertical-cavity surface-emitting lasers (VCSELs) and multimode fibers. Links with single and multimode VCSELs and with standard and high-bandwidth fibers have been evaluated and compared in the frequency range of 0.1-10 GHz. The best results were obtained for links with a multimode VCSEL and a high-bandwidth fiber. For a 500-m-long link, a spurious free dynamic range of 104 dB/spl middot/Hz/sup 2/3/ at 2 GHz and 100 dB/spl middot/Hz/sup 2/3/ at 5 GHz were obtained while allowing for a VCSEL-fiber misalignment of /spl plusmn/12 /spl mu/m. Corresponding numbers for the intrinsic link gain and noise figure are -29 and -33 dB, and 39 and 42 dB at 2 and 5 GHz, respectively. Inferior performance was observed for the standard fiber link due to a larger variation in modal group velocities. This paper also presents a detailed link analysis to identify performance limitations and to suggest modifications for improved performance.
Terascale Physics Opportunities at a High Statistics, High Energy Neutrino Scattering Experiment: NuSOnG

This paper presents the physics case for a new high-energy, ultra-high statistics neutrino scattering experiment, NuSOnG (Neutrino Scattering on Glass). This experiment uses a Tevatron-based neutrino beam to obtain over an order of magnitude higher statistics than presently available for the purely weak processes νμ + e- → νμ + e- and νμ + e- → νe + μ-. A sample of Deep Inelastic Scattering events which is over two orders of magnitude larger than past samples will also be obtained. As a result, NuSOnG will be unique among present and planned experiments for its ability to probe neutrino couplings to Beyond the Standard Model physics. Many Beyond Standard Model theories physics predict a rich hierarchy of TeV-scale new states that can correct neutrino cross-sections, through modifications of Zνν couplings, tree-level exchanges of new particles such as Z′'s, or through loop-level oblique corrections to gauge boson propagators. These corrections are generic in theories of extra dimensions, extended gauge symmetries, supersymmetry, and more. The sensitivity of NuSOnG to this new physics extends beyond 5 TeV mass scales. This paper reviews these physics opportunities.
Investigation of the Turn-ON of T-RAM Cells Under Transient Conditions

This paper presents an experimental investigation of the turn-ON of nanoscale T-RAM cells under the transient conditions given by the depletion of the p-base from holes. Data reveal that hole depletion increases the dynamic turn-ON voltage of the device for a stretch of time depending on the gate and anode bias during the hold phase and on the gate voltage used for device sensing. The results are explained considering that the gate and anode biases during hold affect the rate of hole generation bringing the device back to its equilibrium condition, while the gate voltage applied to sense the state of the gated-thyristor determines the p-base potential and, therefore, the amount of holes in the p-base required to turn the device on.