Miracle-dz/UniFAR-FTUs huggingface dataset:
Managing „sport-for-good” clubs for disadvantaged young people in super- diverse urban settings: a mixed methods study

Aim First, we will investigate how and why ‘sport-for-good’ clubs can be effective in achieving positive outcomes for disadvantaged young people living in super-diverse urban settings. Second, through this study we want to investigate to what extent predefined positive outcomes are actually achieved amongst these young people. This study provides feedback to sport managers to improve their ‘sport-for-good’ club.
A Study of Relationship between Emotional Intelligence and Occupational Stress among the Faculty Members with Special Reference to Business Schools in India

Work related pressure has progressively been perceived as a widespread problem in different educational settings. In spite of the fact that the reasons may contrast, all of them may experience stress in their job. In this connection, an examination of personal and organization factors that enable teacher to deal with job stress seems advisable. One personal coping resource that is the concern of the present study is emotional intelligence: An emotionally intelligent teacher learns and applies emotional intelligence to perk up stress management, which would elevate the quality of teacher and eminence of education. In this connection the present study aims to investigate the relationship between emotional intelligence and occupational stress among the faculty members of business schools in India. The sample of 545Business school faculty members from various macro and micro cities of India has been selected adopting convenient sampling technique. Faculty members’ emotional intelligence was accessed with the help of Emotional Intelligence Scale developed by Anukool Hyde and Sanjoy Pethe and Upinder Dhar (2001) and their occupational stress was accessed with the help of Teacher Stress Scale developed by K. S. Mishra. The descriptive survey method was adopted for the study. The data, which has obtained from that survey, has been analysed using SPSS software, t-test and one-way ANOVA. The study reveals that there is a strong, significant and negative relationship exists between emotional intelligence and the occupational stress among the faculty members with special reference to business schools in India.
A Case Study for Universal Design in the Internet of Things

The user-centered design process helps ensure the requirements of the users are met throughout the development of a product or service. Universal design is an approach that makes sure that the needs of people with disabilities are incorporated. While many have suggested combining user-centered design and universal design, we demonstrate how it can be done in the development of prototypes and mobile apps for the Internet of Things. Applying the user-centered and universal design process allowed us to identify complex issues with user interaction that would not have been found only using accessibility guidelines. We recommend focusing on technical accessibility, performing user evaluations with persons with disabilities, and having an accessibility champion for advocating universal design issues throughout a project.
Measuring health and broader wellbeing benefits in the context of opiate dependence : the psychometric performance of ICECAP-A and EQ-5 D-5 L

Background: Measuring outcomes in economic evaluations of social care interventions is challenging, as both health and wellbeing benefits are evident. The ICEpop CAPability instrument for Adults (ICECAP-A) and the five-level EuroQol-5D (EQ-5D-5L) are measures potentially suitable for the economic evaluation of treatments for substance use disorders. However, evidence for their validity in this context is lacking. Objective: To assess the construct validity of the ICECAP-A and EQ-5D-5L, in terms of convergent and discriminative validity, and sensitivity to change based on standard clinical measures (CORE-OM, TOP, ISEL, LDQ, and SSQ). Methods: Secondary analysis of pilot trial data for heroin users in opiate substitution treatment. Baseline convergence with clinical measures was assessed using Pearson's correlation coefficient. Discriminative validity was assessed using one-way ANOVA and stepwise regressions. Sensitivity to changes in clinical indicators were assessed at 3 and 12 months using the standardised response mean statistic, and parametric and nonparametric testing. Results: Both measures had the same level of construct validity, except for clinical indicators of wellbeing, where the ICECAP-A performed better. The ICECAP-A was sensitive to changes in both health and wellbeing indicators. The EQ-5D-5L had lower levels of sensitivity to change, and a ceiling effect (27%), particularly evident in the dimensions of self-care (89%), mobility (75%), and usual activities (72%). Conclusions: The findings support the construct validity of both measures, but ICECAP-A gives more attention to broader impacts, and is more sensitive to change. The ICECAP-A shows promise in evaluating treatments for substance use disorders where recovery is the desired outcome.
Applying Multiresolution Segmentation Algorithm to Generate Crop Management Zones based on Interpolated Layers

Agricultural Crop Field Modelling is a technique that uses georeferenced data points of soil information analysis or spectral remote sensing imagery raster layers to obtain models to: identify spatial differences in the regions; maximize the production, minimize the nutrient reposition; and find the desired characteristics in terrain based on class of production selected. Concepts related to Object Based Image Analysis were adopted to generate a meaningful Management Zone delineation aim the construction of models based on a multi source georeferenced data fusion, building a concrete relationship among different input of information layers employed using the Multiresolution region-based segmentation algorithm.
Heterogeneous Vancomycin Intermediate Resistance within Methicillin-Resistant Staphylococcus Aureus Clinical Isolates in Alexandria Province

Glycopeptides such as vancomycin are frequently the antibiotics of choice for the treatment of infections caused by methicillin resistant Staphylococcus aureus (MRSA). Since vancomycin-intermediate Staphylococcus aureus (VISA) was first reported in Japan in 1997, there has been great concern that heterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) is the putative precursor of VISA. The aim of this study was to explore the prevalence of VISA and hVISA among MRSA strains isolated from hospitalized patients in Alexandria University Hospital over a 2 years period, and to investigate their clinical significance and mechanism of vancomycin resistance. Sixty two MRSA isolates were screened by using brain heart infusion agar supplemented with 4 μg/ml vancomycin (BHI-V4) and macro E test. Minimum inhibitory concentrations (MICs) of vancomycin were determined by broth microdilution and standard E test. Population analysis profile (PAP) was performed for detecting the frequency of heterogeneous resistance for isolates grown on BHI-V4. Vancomycin intermediate resistant subpopulations of hVISA were viewed with scanning electron microscopy, and tested for the presence of van A gene by PCR. Twenty one (33.87 %) MRSA isolates grew on BHI-V4, 7 (11.29 %) isolates were suspected of having reduced susceptibility to vancomycin by macro E test. The PAP confirmed 6 (9.68 %) isolates as hVISA since they produced subpopulations with MIC of vancomycin of > 4 μg/ml at frequency of 1 in 10 CFU/ml or higher. Vancomycin MIC values for all isolates were ≤ 4 μg/ml. The clinical outcome of hVISA infection was variable as the hemodialysis patient improved, while death occurred in the two patients from the ICU, and the three diabetic patients underwent variable degrees of amputations. Scanning electron micrographs of vancomycin intermediate resistant subpopulations of hVISA showed enhanced cell wall thickness with evidence of increased extra-cellular material and irregular shape compared to vancomycin susceptible cells. All hVISA isolates were van A gene negative by PCR. It was concluded that this study is an early warning that MRSA strains with full resistance to vancomycin might emerge in Egypt in the future. Due to the increased use of vancomycin for treatment of MRSA infections, screening for hVISA in MRSA strains should be considered as a necessary part of infection control practice emphasizing the importance of a laboratory capability of its identification.
Design and Demonstration of an Electronically Scanned Reflectarray Antenna at 100 GHz Using Multi-Resonant Cells Based on Liquid Crystals

The design, fabrication and measured results are presented for a reconfigurable reflectarray antenna based on liquid crystals (LC) which operates above 100 GHz. The antenna has been designed to provide beam scanning capabilities over a wide angular range, a large bandwidth and reduced Side-Lobe Level. Measured radiation patterns are in good agreement with simulations, and show that the antenna generates an electronically steerable beam in one plane over an angular range of 55° in the frequency band from 96 to 104 GHz. The Side Lobes Level is lower than -13 dB for all the scan angles and -18 dB is obtained over 16% of the scan range. The measured performance is significantly better than previously published results for this class of electronically tunable antenna, and moreover verifies the accuracy ofthe proposed procedure for LC modeling and antenna design.
Estimation of 2 D strain in abdominal organs during an impact based on ultrafast ultrasound images : a physical landmark-based approach

Within the context of human body models validation for accident configurations, ultrafast ultrasonography makes possible the observation of internal abdominal organs, but with a reduced image quality that makes difficult image post-processing with classical methods. This study describes a new method to estimate 2D strains in organs based on ultrafast images. This method is based on an automatic tracking algorithm initially developed for biological cells combined with filtration, interpolation and integration steps. So far, the predictions were verified (1) by comparing estimated displacements with those derived from manual tracking and (2) by applying the method to an image deformed numerically using a known inhomogeneous strain field. Finally, in order to assess the robustness of the method to ultrasound noise among others, an experimental protocol was developed. It allows comparing strains assessed by the method inside a thin biological sample with those measured by stereo-correlation tools on the external surface. The tests are ongoing.
A survey on peer to peer system applications

neelkamal.chaudhary26@gmail.com P2P (peer-to-peer) systems gain more interest from both the user and research communities, building a search system on top of P2P networks is becoming an attractive and promising alternative. The paper introduces the concept of P2P network architecture and structure of current P2P systems. The background, scope, objectives, and methodology adopted for carrying out the research work is also presented in this paper. This paper also evaluates the extensive research done in the field of p2p networks. A survey is very important part of every research. So here this paper shows the application based survey on peer to peer systems.
Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings

The goal of cross-lingual information retrieval (CLIR) is to ﬁnd relevant documents written in languages different from that of the query. Robustness to translation errors is one of the main challenges for CLIR, especially in low-resource settings where there is limited training data for building machine translation (MT) systems or bilingual dictionaries. If the test collection contains speech documents, additional errors from automatic speech recognition (ASR) makes translation even more difﬁcult. We propose a robust document representation that combines N-best translations and a novel bag-of-phrases output from various ASR/MT systems. We perform a comprehensive empirical analysis on three challenging collections; they consist of Somali, Swahili, and Tagalog speech/text documents to be retrieved by English queries. By comparing various ASR/MT systems with different error pro-ﬁles, our results demonstrate that a richer document representation can consistently overcome issues in low translation accuracy for CLIR in low-resource settings.
FINOSE joint assessment report

Full indication in combination with bevacizumab, paclitaxel and carboplatin Tecentriq, in combination with bevacizumab, paclitaxel and carboplatin, is indicated for the first-line treatment of adult patients with metastatic non-squamous non-small cell lung cancer (NSCLC). In patients with EGFR mutant or ALK-positive NSCLC, Tecentriq, in combination with bevacizumab, paclitaxel and carboplatin, is indicated only after failure of appropriate targeted therapies.
Errata: Document Modeling with External Information for Sentence Extraction

score. Hence, the ACC evaluation metric should always be smaller or equal than the MRR metric. This was not the case for our reported results. Upon thorough inspection of the official TREC implementation2 of MRR and MAP, we found out that ties (for the scores of sentences that are among the ones to be selected as an answer – the scores are based on the relevant model) are broken in such a way that the sentence that is picked is the one that comes first in inverse lexicographic order, treating the candidate sentence number id as a string (for example, according to that order, “100” is preferred over “2”). However, our implementation of the accuracy metric proposed by Trischler et al. (2016) breaks ties by choosing the candidate which comes earliest in the document (according to its index). In order to remedy this inconsistency, we reimplemented all metrics with two tie-breaking options so that the setup can be consistent across metrics. Table 1 presents the results for the first-inline setup, the case when ties are broken by choosing the candidate that comes earliest in the document. Likewise, Table 2 presents the results for the last-in-line setup, the case when ties are broken by choosing the candidate that comes latest in the document. The last-in-line implementation repro-
CHLORHEXIDINE , TOOTH BRUSHING , AND PREVENTING VENTILATOR-ASSOCIATED PNEUMONIA IN CRITICALLY ILL ADULTS

P ersonal use only. For copyright permission information: http://www.a jcconline . org P ublished online © 2009 American Association of C ritica l-C are N urses Am J C rit C are . 2009;18: 428-437 doi: 10 . 4037/a jcc2009792 C indy L. M unro, M ary Jo G rap, D eborah J. Jones, D onna K. M cC lish and C urtis N . S essler Pneumonia in Critically Ill Adults Chlorhexidine, Toothbrushing, and Preventing Ventilator-Associated
Admission Control and QoS Provisioning in Multi-service MDA for IEEE 802 . 11 s-Based Wireless Mesh Networks

In this paper, we design an efficient scheduler for Mesh Deterministic Access (MDA) in IEEE 802.11s-based Wireless Mesh Networks (WMNs), called Enhanced Differentiated MDA (ED-MDA). ED-MDA is combined with an Efficient Admission Control algorithm, called EAC, that guarantees QoS for different service classes and provides higher capacity in WMNs. EAC processes both new and HandOver (HO) calls to maintain a balance between two conflicting requirements: maximizing the resource utilization and minimizing the dropping rate. To establish priority between new and HO calls, especially to avoid the forced termination of an ongoing call, ED-MDA coupled with EAC reserves the minimum amount of necessary resources while maintaining an acceptable HO call dropping rate and high resource utilization. Particularly, our model provides an efficient adaptive adjustment of the Contention Free Period (CFP) duration to make efficient use of the scarce wireless resources while supporting different services with different QoS requirements, such as delay. Simulations show that ED-MDA together with EAC outperforms existing schemes.
FLEXIBLE COMPLETE MODELS WITH STOCHASTIC VOLATILITY GENERALISING HOBSON-ROGERS

We apply methods from Malliavin Calculus in the spirit of Fourny et al. in order to calculate Taylor expansion of model prices with respect to perturbation parameters. The methods allow to calculate certain random variables, so called weights, explicitly, which serve to prove analytically tractable formulas approximating actual model prices. We focus on hypo-elliptic rather than elliptic equations such as the Hobson-Rogers model. This approach is then applied to investigate whether complete stochastic volatility models like the Hobson-Rogers model can produce appropriate smiles or not. Furthermore we suggest generalizations of the Hobson-Rogers model which remain complete, but fit the features of actual market data much better.
Cancer Risk by Social Class and Occupation: A Survey of 109,000 Cancer Cases among Finns of Working Age

Part 1 Introduction: aims of the study structure of the report. Part 2 Background: earlier occupational cancer surveillance systems carcinogenic agents health habits by social class in Finland health care in Finland. Part 3 Materials and methods: Census 1970 follow-up for death, person-years at risk Finnish Cancer Registry record linkage cancer risk estimates output selections inclusions and exclusions. Part 4 Results: cancers of the mouth and pharynx cancer of the gastrointestinal tract cancer of other digestive organs cancer of the respiratory organs cancer of the breast cancer of the female genital organs cancer of the male genital organs cancer of the urinary organs cancer of the skin cancer of the eye and nervous system cancer of the endocrine glands cancer of the bone and connective tissue cancer at unspecific sites haematological cancers cancer at all sites. Part 5 Cancer profiles of selected occupations: physicians teachers and labourers tobacco industry workers economically inactive persons. Part 6 General discussion: quality of the data sources comparison with other types of study limits of present study upper social classes as predictors of future cancer incidence preventability. Part 7 Summary and conclusions: method findings.
Noise Generator Discriminator Fake Real GAN InfoGAN Generated design Realworld design Noise Generator Discriminator Fake Real Generated design Realworld design Latent code Latent code

Many real-world objects are designed by smooth curves, especially in the domain of aerospace and ship, where aerodynamic shapes (e.g., airfoils) and hydrodynamic shapes (e.g., hulls) are designed. To facilitate the design process of those objects, we propose a deep learning based generative model that can synthesize smooth curves. The model maps a low-dimensional latent representation to a sequence of discrete points sampled from a rational Bézier curve. We demonstrate the performance of our method in completing both synthetic and real-world generative tasks. Results show that our method can generate diverse and realistic curves, while preserving consistent shape variation in the latent space, which is favorable for latent space design optimization or design space exploration.
Legate NumPy: accelerated and distributed array computing

NumPy is a popular Python library used for performing array-based numerical computations. The canonical implementation of NumPy used by most programmers runs on a single CPU core and is parallelized to use multiple cores for some operations. This restriction to a single-node CPU-only execution limits both the size of data that can be handled and the potential speed of NumPy code. In this work we introduce Legate, a drop-in replacement for NumPy that requires only a single-line code change and can scale up to an arbitrary number of GPU accelerated nodes. Legate works by translating NumPy programs to the Legion programming model and then leverages the scalability of the Legion runtime system to distribute data and computations across an arbitrary sized machine. Compared to similar programs written in the distributed Dask array library in Python, Legate achieves speed-ups of up to 10X on 1280 CPUs and 100X on 256 GPUs.
Expression of Lewisa , sialyl Lewisa , Lewisx and sialyl Lewisx antigens as prognostic factors in patients with colorectal cancer

Can J Gastroenterol Vol 14 No 9 October 2000 753 First Department of Surgery, Nagasaki University School of Medicine, Department of Internal Medicine, Nagasaki Prefecture Tarami Hospital, Nishisonogi, Division of Blood Transfusion, Nagasaki University Hospital, School of Allied Medical Science, Nagasaki University, and Department of Preventive Medicine and Health Promotion, Nagasaki University School of Medicine, Nagasaki, Japan Correspondence and reprints: Dr Tohru Nakagoe, First Department of Surgery, Nagasaki University School of Medicine, 1-7-1 Sakamoto, Nagasaki, 852-8501 Japan. Telephone +81-95-849-7304, fax +81-95-849-7306, e-mail nakagoe@net.nagasaki-u.ac. jp Received for publication December 20, 1999. Accepted May 17, 2000 ORIGINAL ARTICLE
Marfan’s syndrome: case report and literature review

Marfan’s syndrome is a rare genetic disease, autosomal dominant. The most affected organs are eyes (myopia, subluxation of the lens); skeleton (hyperlaxity, arachnodactyly, scoliosis, dolichostenomelia) and cardiovascular system (aortic pathology). The severity of this disease is related to its cardiovascular damage. We proposed to carry out a review of the literature from the first case reported in the ophthalmology department of the University Hospital of Brazzaville.
Does corporate after mergers ? * performance improve

We examine post-acquisition performance for the 50 largest U.S. mergers between 1979 and mid-1984. Merged firms show significant improvements in asset productivity relative to their industries, leading to higher operating cash flow returns. This performance improvement is particularly strong for firms with highly overlapping businesses. Mergers do not lead to cuts in long-term capital afld R&D investments. There is a strong positive relation between postmerger increases in operating cash flows and abnormal stock returns at merger announcements, indicating that expectations of economic improvements underlie the equity revaluations of the merging firms.
Penurunan Deposit Lemak Abdominal pada Ayam Pedaging melalui Manajemen Pakan

Reducing Abdominal Fat Deposition in Broiler Through Feeding Management Abdominal fat in broiler carcass is considered as a waste and its existence reduces the carcass quality. Abdominal fat deposition is affected by several factors such as genetic, nutrition, feed, sex, age and environment. Reducing abdominal fat deposition can be carried out by regulating the nutrient intake to ensure that no excessive nutrient was consumed. Nutrition effects to reduce abdominal fat deposition are associated with nutrient concentration of ration and quantity of daily feed intake. Daily nutrient intake can be limited, especially through restricted feeding. It is concluded that an appropriate feeding management can reduce abdominal fat deposition in broiler.