nils-herrmann/clean_scirepeval huggingface dataset:
Visualizing Big Data with augmented and virtual reality: challenges and research agenda
Venue: Journal of Big Data
Year: 2015

AbstractThis paper provides a multi disciplinary overview of the research issues and achievements in the field of Big Data and its visualization techniques and tools. The main aim is to summarize challenges in visualization methods for existing Big Data, as well as to offer novel solutions for issues related to the current state of Big Data Visualization. This paper provides a classification of existing data types, analytical methods, visualization techniques and tools, with a particular emphasis placed on surveying the evolution of visualization methodology over the past years. Based on the results, we reveal disadvantages of existing visualization methods. Despite the technological development of the modern world, human involvement (interaction) judgment and logical thinking are necessary while working with Big Data. Therefore, the role of human perceptional limitations involving large amounts of information is evaluated. Based on the results, a non traditional approach is proposed: we discuss how the capabilities of Augmented Reality and Virtual Reality could be applied to the field of Big Data Visualization. We discuss the promising utility of Mixed Reality technology integration with applications in Big Data Visualization. Placing the most essential data in the central area of the human visual field in Mixed Reality would allow one to obtain the presented information in a short period of time without significant data losses due to human perceptual issues. Furthermore, we discuss the impacts of new technologies, such as Virtual Reality displays and Augmented Reality helmets on the Big Data visualization as well as to the classification of the main challenges of integrating the technology.
New and emerging pharmacotherapy for duchenne muscular dystrophy: a focus on synthetic therapeutics
Venue: Expert opinion on pharmacotherapy
Year: 2020

Duchenne muscular dystrophy (DMD) is the result of X chromosome linked mutations to the dystrophin protein gene that prevent the normal development and repair of muscles leading to muscle deterioration. The condition affects nearly 1 in 3,500 males worldwide. Current therapeutics have not been sufficient in providing a cure or resulting in a significant extension in life expectancy, but many therapeutic options are currently under investigation.  This article provides an overview of the current and emerging therapies for DMD giving particular focus to synthetic therapeutic options. The authors further provide their expert opinion.  Many discrepancies in primary outcomes of trials have led to questions of efficacy for medications, as well as difficulty in securing FDA approval. A standardization of primary outcome strategies, as well as better access to investigational medications, may alleviate some of the controversy and pressures that exist on medication approvals. Many trials have identified cohorts who responded more favorably to medications, despite a lack of significance in the overall intent to treat populations. This indicates that more medication screening and personalized treatment with patient specific targeting might deliver more clinically significant results.
Diabetes related emotional distress in adults: reliability and validity of the Norwegian versions of the Problem Areas in Diabetes Scale (PAID) and the Diabetes Distress Scale (DDS)
Venue: International journal of nursing studies
Year: 2012

Regular assessment of diabetes related emotional distress is recommended to identify high risk people with diabetes and to further prevent negative effects on self management. Nevertheless, psychological problems are greatly under diagnosed. Translating and testing instruments for psychosocial assessment across languages, countries and cultures allow for further research collaboration and enhance the prospect of improving treatment and care.  To examine the psychometric properties of the Norwegian versions of the Problem Areas in Diabetes Scale and the Diabetes Distress Scale.  Cross sectional survey design.  A sample comprising adults with diabetes (response rate 71% completed the Problem Areas in Diabetes Scale and the Diabetes Distress Scale, which were translated into Norwegian with standard forward backwards translation.  The study included 292 participants with type 1 (80% and type 2 diabetes (20% aged 18 69 years, 58% males, mean diabetes duration 17.3 years (11.6) mean HbA(1c) 8.2% (1.6) METHODS We used exploratory factor analysis with principal axis factoring and varimax rotation to investigate the factor structure and performed confirmatory factor analysis to test the best fit of a priori defined models. Convergent and discriminate validity were examined using the Short Form 36 Health Survey, Hospital Anxiety and Depression Scale and demographic and disease related clinical variables. We explored reliability by internal consistency and test retest analysis.  Exploratory factor analysis supported a four factor model for the Diabetes Distress Scale. Confirmatory factor analysis indicated that the data and the hypothesized model for the Diabetes Distress Scale fit acceptably but not for the Problem Areas in Diabetes Scale. Greater distress assessed with both instruments correlated moderately with lower health related quality of life and greater anxiety and depression. The instruments discriminated between those having additional health conditions or disabilities, foot problems or neuropathy. Women and participants with higher HbA(1c) levels reported significantly higher diabetes related emotional distress.  The Norwegian versions of the Problem Areas in Diabetes Scale and the Diabetes Distress Scale have satisfactory psychometric properties and can be used to map diabetes related emotional distress for diagnostic or clinical use. The Diabetes Distress Scale also contributes to identifying sub domains of distress and seems promising for use in clinical trials.
Analisis de la Estrategia Nacional para la Prevencion y Control del Sobrepeso, la Obesidad y la Diabetes en Mexico 2013 2016
Year: 2018

El sobrepeso y la obesidad se han consolidado en Mexico como uno de los problemas de salud publica mas graves y costosos, tanto para su poblacion como para las instituciones publicas encargadas de garantizar el derecho a la salud de la poblacion. En los ultimos anos, las cifras han ido en aumento a pesar de los multiples esfuerzos preventivos y paliativos implementados por el Gobierno Federal. En ese sentido, el proposito de este trabajo es analizar el desempeno de la Estrategia Nacional para la Prevencion y Control del Sobrepeso, la Obesidad y la Diabetes implementada en Mexico desde 2013, a fin de identificar sus fortalezas y debilidades y asi contribuir a un debate que permita tomar las medidas necesarias para corregir las deficiencias detectadas.
The Role of Pulmonary Rehabilitation in Patients with Idiopathic Pulmonary Fibrosis
Venue: Interstitial Lung Diseases
Year: 2019

Idiopathic pulmonary fibrosis (IPF) is known as one of the most severe lung conditions and the worst form of interstitial lung disease (ILD) There is a continuing concern about clinical research to identify new therapies that influence the quality of life in patients diagnosed with this chronic progressive pulmonary disease, with an average survival of 3 5 years. Although in recent years great progress has been made to slow down the functional decline of the disease with new antifibrotic therapies, it has failed to alter the prognosis and survival of IPF patients. Clinical trials and recent ATS/ERS guidelines have brought at least moderate and low levels of evidence for increased effort tolerance, decreased symptoms, and improved quality of life following participation in lung rehabilitation programs for ILD patients and in particular those with IPF. Pulmonary rehabilitation has been shown to be a standard of care for COPD patients, but their personalized application to patients with IPF has had positive short term results, becoming a safe alternative to non pharmacological treatment. The chapter includes the general objectives of rehabilitation programs, their type and structure, ways of complex assessment of patients before and after a training exercise, types of exercises, and shortand long term results.
Influence of Maternal and Paternal Parenting Style and Behavior Problems on Academic Outcomes in Primary School
Venue: Front. Psychol.
Year: 2019

Parents and teachers are concerned about the academic outcomes of children. Among the variables that play an important role in school success, parenting styles and behavior problems are some of the most studied. Literature shows that presence of behavioral problem and parenting styles based on physical punishment, lack of consistency and ineffective limit setting are related to poor academic achievement. The present study examined the influence of maternal and paternal parenting styles and behavior problems on the academic outcomes of primary school children. Measures used in this study included the Inventory of Parenting Guide, the Child Behavior Checklist and information on academic outcomes (n 78 families) The range age of the students was 6 to 13 years old (mean 8.08; SD 1.6; 38 girls) The participation rate was 90.7% The results showed that behavior problems and sensitive parenting style were related to academic outcomes. Specifically, attentional problems and maternal sensitive parenting styles appeared to be significant predictors of academic outcomes in this study. These data suggest the relevance of attention and maternal sensitive parenting styles in understanding processes that promote academic outcomes.
Design and Implementation of Fast Compressive Tracking
Year: 2018

The primary point of the undertaking is to plan "Quick Compressive Following of the hearty item with Kalman algorithm" It is an exceptionally extreme undertaking to create powerful and effective appearance models for strong article following because of the different variables, for example, light change, posture variety, movement smear, and impediment. Existing following algorithms are typically overhaul models with specimens removed from reconnaissance late edges. Despite the fact that algorithms are effective however there are a few issues stay to be tended to. In any case, while these adaptable appearance models are data needy, there does not exist sufficient measure of data for online computations to learn toward the starting. Second, internet following algorithms regularly encounters the buoy issues. As an issue of readied toward oneself learning, misaligned cases are at risk to be incorporated and corrupt the appearance models. In this paper, we propose an essential yet practical and capable after count with an appearance model concentrated around contrivances expelled from a multi scale picture idiosyncrasy space with data self sufficient reason. We pack example pictures of the front line target and the establishment using the same lacking estimation system. The accompanying task is arranged as an issue gathering through a pure Bayes classifier with online upgrade in the pressed territory. A coarse to fine interest strategy is grasped to further diminish the computational versatile quality in the distinguished method. Powerful visual after is essential to track different hindered things. Kalman channel and shade information taking after figurings are completed uninhibitedly in most of the rhythmic movement research. The proposed strategy merges enlarged Kalman channel with past and shade information for emulating distinctive inquiries under high hindrance. The proposed method is overwhelming to establishment exhibiting framework. Object distinguishing proof is completed using spatio common Gaussian mixture model. After embodies two steps: to some degree blocked thing after and significantly obstructed article emulating. Taking after partially hindered articles, created Kalman channel is ill used with past information of thing, however for significantly blocked article emulating, color information and size attributes are used. The structure was attempted in certifiable application and successful results were gotten.
Efficacy, safety, and immunogenicity of the human papillomavirus 16/18 AS04 adjuvanted vaccine in women older than 25 years: 4 year interim follow up of the phase 3, double blind, randomised controlled VIVIANE study
Venue: The Lancet
Year: 2015

Although adolescent girls are the main population for prophylactic human papillomavirus (HPV) vaccines, adult women who remain at risk of cervical cancer can also be vaccinated. We report data from the interim analysis of the ongoing VIVIANE study, the aim of which is to assess the efficacy, safety, and immunogenicity of the HPV 16/18 AS04 adjuvanted vaccine in adult women.  In this phase 3, multinational, double blind, randomised controlled trial, we randomly assigned healthy women older than 25 years to the HPV 16/18 vaccine or control (1:1) via an internet based system with an algorithm process that accounted for region, age stratum, baseline HPV DNA status, HPV 16/18 serostatus, and cytology. Enrolment was age stratified, with about 45% of participants in each of the 26 35 and 36 45 years age strata and 10% in the 46 years and older stratum. Up to 15% of women in each age stratum could have a history of HPV infection or disease. The primary endpoint was vaccine efficacy against 6 month persistent infection or cervical intraepithelial neoplasia grade 1 or higher (CIN1+ associated with HPV 16/18. The primary analysis was done in the according to protocol cohort for efficacy, which consists of women who received all three vaccine or control doses, had negative or low grade cytology at baseline, and had no history of HPV disease. Secondary analyses included vaccine efficacy against non vaccine oncogenic HPV types. Mean follow up time was 40*3 months.  The first participant was enrolled on Feb 16, 2006, and the last study visit for the present analysis took place on Dec 10, 2010; 5752 women were included in the total vaccinated cohort (n=2881 vaccine, n=2871 control) and 4505 in the according to protocol cohort for efficacy (n=2264 vaccine, n=2241 control) Vaccine efficacy against HPV 16/18 related 6 month persistent infection or CIN1+ was significant in all age groups combined (81*1% 97*7% CI 52*1 94*0) in the 26 35 years age group (83*5% 45*0 96*8) and in the 36 45 years age group (77*2% 2*8 96*9) no cases were seen in women aged 46 years and older. Vaccine efficacy against atypical squamous cells of undetermined significance or greater associated with HPV 16/18 was also significant. We also noted significant cross protective vaccine efficacy against 6 month persistent infection with HPV 31 (79*1% 97*7% CI 27*6 95*9) and HPV 45 (76*9% 18*5 95*6] Serious adverse events occurred in 285 (10% of 2881 women in the vaccine group and 267 (9% of 2871 in the control group; five <1% and eight <1% of these events, respectively, were believed to be related to vaccination.  In women older than 25 years, the HPV 16/18 vaccine is efficacious against infections and cervical abnormalities associated with the vaccine types, as well as infections with the non vaccine HPV types 31 and 45.
New sustainable business models in China
Year: 2009

This research explores the need to establish new sustainable business models in China and uses multiple objectives to examine in a sample of Chinese companies the reality of the level of sustainable development, environmental awareness and performance, community responsibility, performance barriers and drivers and other sustainability issues. A mixed methodology was adopted, using a questionnaire survey and interviews with 20 manufacturing companies in Guangzhou and Shenzen. Evidence from the small sample of companies demonstrates the lack of significant sustainable development practices in China, although small and medium sized companies appeared to show interest in this area and would like to further contribute to for example triple bottom line objectives. Increasing concerns are found from the company level regarding the need to use renewable energy, source alternative sustainable materials, close the loop of the supply chain, improve the quality of products produced rather than reducing cost, export to Europe and treat employees as an asset. The lack of skills, finance and knowledge are found to be prohibiting the effective embedment of sustainable development within companies and hence cause an under performance in this regard. The study concludes that the establishing of a new business model for sustainable development in China is needed urgently, and this should be a joint effort with the Chinese government.
Prevalence of metabolic syndrome and changes in body composition, physical fitness and cardiovascular risk factors during military service
Year: 2011

Metabolic syndrome (MetS) is a cluster of obesity related cardiometabolic risk factors. It predicts the development of cardiovascular disease and type 2 diabetes, which are major public health concerns. Visceral obesity and insulin resistance are the predominant underlying factors of MetS, other diagnostic components being elevated blood pressure, high triglycerides, and low HDLcholesterol. The most important treatment of MetS is through lifestyle changes. There are limited data concerning the prevalence of MetS among young populations. Furthermore, even though the effects of physical activity on MetS components are well established at an individual basis and in some subpopulations, large population based data about associations of young men's fitness and MetS related cardiometabolic risk factor changes are warranted. In Finland, military service is compulsory for males. In 2005, 1,160 young men (mean age 19.2 years, range 18 28 years) were followed throughout their military service (6 12 months) in the Sodankyla Jaeger Brigade. The military service period includes high amounts of physical exercise, but no dietary restrictions. Physical fitness, anthropometrics, body composition, and cardiometabolic risk factors were assessed at the beginning and at the end of military service. Among the entire study population, the prevalence of MetS was 3.5 6.8 depending on the definition used, and increased in parallel with an increasing body mass index. On the average, the military training period resulted in a decrease in body weight and amount of fat tissue, especially visceral fat, and improved physical fitness. Body composition and fitness improvements were more pronounced in overweight and obese service men. Beneficial changes in body composition and related cardiovascular risk factor improvements were associated with increased physical fitness, especially aerobic fitness. This study indicates that an improvement in physical fitness is related to improvements in body fat distribution and cardiovascular health at population level in young men. This is an age when co morbidities are usually as yet non existing, but might be most efficiently prevented by lifestyle changes, such as becoming physically active.
Climate change models predict southerly shift of the cat flea (Ctenocephalides felis) distribution in Australia
Venue: Parasites Vectors
Year: 2019

BackgroundBioclimatic variables play an integral part in the life cycle of Ctenocephalides felis, the most common flea found on companion animals. It is essential that we understand the effects of climate on C. felis distribution as fleas are a major veterinary and public health concern. This study investigated the current distribution of C. felis in Australia and future projections based on climate modelling.ResultsTyping of C. felis was undertaken using the cytochrome c oxidase subunit 1 (cox1) mitochondrial DNA (mtDNA) region and current distribution of haplotypes was mapped by Maximum Entropy (Maxent) niche modelling. All C. felis haplotypes have been predicted to persist in environments along the eastern and southern coastlines of Australia and distinct ecological niches were observed for two C. felis haplogroups. Clade 'Cairns' haplogroup thrives under the northern coastal tropical conditions whilst Clade 'Sydney' haplogroup persists in temperate climates along the eastern and southern coasts. The model was then used to predict areas that are projected to have suitable climatic conditions for these haplogroups in 2050 and 2070 under the Intergovernmental Panel on Climate Change (IPCC) climate change scenarios. Under all IPCC Representative Concentration Pathways (RCP) climate change scenarios, the geographical range of all haplotypes was reduced by 5.59 42.21% in 2050 and 27.08 58.82% by 2070. The ranges of all clades were predicted to shift south along the eastern coastline.ConclusionsAs future temperatures exceed critical threshold temperatures for C. felis development in the northern tropical areas, Clade 'Cairns' haplogroup is predicted to shift south along the coastline and possibly outcompete the temperate haplogroup in these areas. If C. felis haplogroups possess distinct climatic niches it suggests a potential for these to be biologically distinct and have differing developmental rates and vector capabilities.
Interrelation of total precipitation over Eurasia with atmospheric centers of action of the northern hemisphere and with major modes of the North Atlantic surface temperature variability
Year: 2011

Conventional average values of Wallace Gutzler indices for the regional circulations and average values of major variability components of the fields of the North Atlantic surface temperature anomalies are plotted on the geographical map used to analyze the total daily precipitation fields. The computation conditions of average values are defined by the dates classified according to three equiprobable gradations of total precipitation. A projection of conditional average values to the precipitation field points enables to estimate the atmospheric and oceanic "tracks" within the marked out gradations of total precipitation. The stratification and computation of characteristics are carried out for the summer and winter seasons. Large regions are revealed of statistically significant interrelation of the atmospheric circulation and major components of variability of the sea surface temperature anomalies with the extreme gradations of total precipitation for summer and winter seasons. The recommendations are formulated for the use of obtained results in the practice of the seasonal forecasting of meteorological conditions.
An introduction to quantum machine learning
Year: 2014

Machine learning algorithms learn a desired input output relation from examples in order to interpret new inputs. This is important for tasks such as image and speech recognition or strategy optimisation, with growing applications in the IT industry. In the last couple of years, researchers investigated if quantum computing can help to improve classical machine learning algorithms. Ideas range from running computationally costly algorithms or their subroutines efficiently on a quantum computer to the translation of stochastic methods into the language of quantum theory. This contribution gives a systematic overview of the emerging field of quantum machine learning. It presents the approaches as well as technical details in an accessible way, and discusses the potential of a future theory of quantum learning.