Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving sleep for patients with restless legs syndrome. Part II: meta-analysis of vibration therapy and drugs approved by the FDA for treatment of restless legs syndrome

Correspondence: Fred Burbank Salt Creek International Women’s Health Foundation, 1235 Puerta del Sol, Suite 700, San Clemente, CA, 92673, USA Tel +1 949 496 0026 Fax +1 949 492 0650 Email fburbank@cox.net Background: Vibratory stimulation pads have been shown to improve sleep in patients with restless legs syndrome (RLS) to a greater extent than sham therapy. The current gold standard of treatment is drugs approved by the US Food and Drug Administration (FDA) for use in RLS. The aim of this meta-analysis was to compare the efficacy and safety of vibratory stimulation pads, sham pads, and drugs approved by the FDA for use in RLS. Methods: We searched the PubMed, Embase, and clinical trial websites to identify the relevant randomized, double-blind, and placebo-controlled or sham-controlled studies. Fifteen studies including a combined total of 3455 patients with at least moderately severe primary RLS met our search criteria. Efficacy was defined as the standardized mean difference in sleep improvement between treatment and controls. Safety was assessed by comparing the odds ratios of any adverse events and adverse events leading to study withdrawal between treatment and control subjects. Results: Improvement in Medical Outcomes Study (MOS) sleep inventory scores from baseline was significantly greater in patients treated with vibratory stimulation pads than in those receiving sham pads (Hedges’s g, standardized mean difference −0.39, P # 0.02). There was no difference in improvement in sleep scores between patients treated with vibratory stimulation pads (−0.39) and those receiving an approved RLS drug (−0.44, P . 0.70). The risk of any adverse event or withdrawal because of an adverse event was not significantly different between patients treated with vibratory stimulation pads and those assigned to sham pads (Mantel-Haenszel odds ratio 2.16 [P . 0.14] and 1.39 [P . 0.80], respectively). The odds ratios for patients reporting any adverse events and adverse events leading to withdrawal were not significantly different between patients treated with vibratory stimulation pads (2.16 and 1.39, respectively) and those who received approved RLS drugs (2.11 [P . 0.89] and 2.07 [P . 0.82], respectively, mixed-effects model). Conclusion: For patients with moderately severe RLS, vibratory stimulation pads were more effective than sham pads for improving sleep, as effective as FDA-approved RLS drugs, and as safe as both sham pads and FDA-approved RLS drugs.
Emotional expression and psychological wellbeing in cancer survivors

Objective: This review aims to systematically evaluate empirical literature relating to the efficacy of emotional expression interventions in those with cancer. Method: A systematic review of the published literature was conducted. Databases searched included Web of Science, PubMed, PsycInfo, and Embase. Only randomised controlled trials examining expressive writing interventions in cancer patients were included. A total of 17 studies consisting of a total of 1755 heterogenous cancer patients were included in this review. Results: The majority of included studies in this review suggest that expressive writing interventions hold no psychological benefits for people with cancer. Physical health benefits were found however and these included lower pain ratings, fewer cancer-related doctor’s visits and better sleep quality. Results suggest that expressive writing interventions may not be feasible to conduct with palliative care patients. Despite the absence of evidence that expressive writing interventions reduced psychological distress for people with cancer, the authors of these trials continue to argue that expressive writing interventions are ‘feasible’ and well received by participants. Discussion: There are several possible reasons that could account for these null findings: 1. ) insufficient power, 2. ) low rates of depression and anxiety, and high levels of quality of life in study participants, 3. ) insufficient differences between expressive writing and neutral writing interventions, 4. ) asking participants to write about cancer-related trauma only.
Financial performance assessment using Grey relational analysis (GRA)

Purpose Traditional statistical methods to study the financial performance of any industry have many barriers and limitations in terms of the statistical distribution of the financial ratios, and, in particular, it considers only its positive values of it. The purpose of this paper is to estimate the financial performance of 24 Indian life insurance companies for the period from 2013 to 2016 using Grey relational analysis (GRA) proposed by Deng (1982) that accommodates the negative values in the analysis. Design/methodology/approach Financial performance of 24 Indian life insurance companies for the years from 2013–2014 to 2015–2016 is examined using a total of 14 indicators from capital adequacy ratios, liquidity ratios, operating ratios and profitability ratios (PR). The methodology used is GRA to obtain the Grey grades to rank the performance indicators, where higher relational grade shows better financial performance, and a lower score depicts the scope for improving the performance. Findings The results rank the insurance companies according to their financial performance in which Shriram insurance stands first with higher relational grade score, followed by the companies like IDBI Insurance, Sahara Insurance and Life Insurance Corporation of India. The main finding is that PR which have negative values are playing a crucial role in determining the financial performance of Indian life insurance companies. Practical implications This study has far-reaching practical implications in twofold: first, for the Indian life insurance industry, they have to concentrate more on PR for better financial health and, second, for any financial performance analysis, ignoring negative value ratios produce biased inference and GRA can be used for better inference. Originality/value This study is the first attempt to evaluate the financial performance of Indian life insurance using the GRA methodology. The advantage of GRA is that there is no restrictions on the statistical distribution of the data and it also accommodates the negative values, whereas all the other traditional methods insist on the statistical distribution of data, and, more importantly, they cannot handle negative values in the performance analysis.
INFLUENCE OF NUTRITION LITERACY ON COLLEGE-AGE POPULATION'S DIETARY BEHAVIOR

Background: With the growing concern of obesity in the United States, food, as the main source of energy and nutrition has become an issue of research interest. Though the Nutrition Labeling and Education Act of 1990 (NLEA) requires nutrition information to be made available for customers in order to guide their dietary choices and intake, obesity rate has increased significantly in the past 20 years. This study examined how nutrition literacy affects college-age population’s reading nutrition labels, and how motivation of label reading associated with predictors of the label reading behavior. Method: An online, self-administered questionnaire was conducted among a randomized sample of 171 students from a Mid-Western university. The questionnaire was structured with key variables derived from the Theory of Planned Behavior (TPB) and the Elaboration Likelihood Model (ELM); such as attitude to make food choices based on reading nutrition labels. Levels of nutrition literacy were measured by questions derived from a nutrition labels survey. Data analysis was conducted with Pearson’s correlation and analysis of variance (ANOVA). Results: Majority of the college student respondents in this study had adequate nutrition literacy. Though no significance was revealed from the correlation between nutrition literacy and the dependent variables due to the limit variance in nutrition literacy data, this study found that individual’s motivation to read nutrition label and attitude towards reading nutrition label are positively related. Results also showed that individuals with higher motivation to read nutrition labels have better perceived behavioral control of reading nutrition labels. Conclusion: Participants in this study, as an emerging adulthood population with collegelevel education, revealed adequate nutrition literacy in general. It can also be concluded that improvement in attitude towards certain behavior relates to development in motivation and perception-based involvement.
Real-time Calculation Method of Big Data Index Based on Storm

The real-time computing method of big data index based on stream processing is composed of logs collection, message management, coordination management, real-time processing, and other parts. This paper presents the discussion of the technical framework, implementation method and path of the real-time computing method of big data index based on Storm, and provides the algorithm verification process and result analysis.
Psychological Capital, Authentic Leadership, Organisational Identification and Stress in Voluntary Sector Workers: Psychological Capital, Authentic Leadership, Organisational Identification and Stress in Voluntary Sector Workers

The concept of a resilient workforce is of growing interest in a changing and economically challenging context. This study aimed to empirically test the interaction between psychological capital (PsyCap) authentic leadership (AL) and organisational identification (OID) as a model for resilience in the workplace. Method: A questionnaire survey assessed psychological capital, authentic leadership, organisational identification, and job stress in 498 staff working in emotional-labour-intensive roles, delivering health and social care services in the community as part of the growing voluntary sector infrastructure. Findings showed that psychological capital and organisational identification mediated the relationship between authentic leadership and job stress.
PENGARUH MODEL PEMBELAJARAN DRAMATIC LEARNING BERBANTUAN BONEKA TANGAN TERHADAP KETERAMPILAN BERBICARA

Penelitian ini bertujuan untuk mengetahui perbedaan keterampilan berbicara Bahasa Indonesia antara kelompok siswa yang mengikuti model pembelajaran dramatic learning berbantuan boneka tangan dan kelompok siswa yang dibelajarkan dengan pembelajaran konvensional pada siswa kelas III SD di Gugus III Kecamatan Busungbiu. Jenis penelitian ini adalah eksperimen semu dengan rancangan non-equivalend posttest only control group design. Populasi penelitian ini adalah siswa kelas III SD di Gugus III Kecamatan Busungbiu. Sampel penelitian ini adalah kelompok siswa kelas III SD N 2 Umejero dan SD N 3 Umejero. Istrumen pengumpulan data yang digunakan dalam penelitian ini adalah lembar observasi. Teknik analisis data yang digunakan adalah uji-t. Berdasarkan hasil analisis diperoleh rata-rata skor kelompok eksperimen yaitu 19,35 dan kelompok kontrol yaitu 14,43. Hasil penelitian menunjukkan bahwa terdapat perbedaan keterampilan berbicara antara kelompok siswa yang mengikuti model pembelajaran dramatic learning berbantuan boneka tangan dan kelompok siswa yang dibelajarkan dengan pembelajaran konvensional. Perbedaan tersebut ditunjukan dari hasil perhitungan uji-t diperoleh thitung = 6,276 pada taraf signifikansi 5% dengan dk = 39 didapat ttabel = 2,021. Kriteria pengujian thitung ˃ ttabel (6,276 > 2,021) maka H0 ditolak. Hasil penelitian menunjukan bahwa terdapat perbedaan yang signifikan keterampilan berbicara Bahasa Indonesia antara kelompok siswa yang dibelajarkan dengan model pembelajaran Dramatic Learning berbantuan Boneka Tangan dengan kelompok siswa yang dibelajarkan dengan pembelajaran konvensional. Dapat disimpulkan bahwa penerapan model pembelajaran Dramatic Learning berbantuan Boneka Tangan berpengaruh positif terhadap keterampilan berbicara Bahasa Indonesia pada siswa kelas III SD di Gugus III Kecamatan Busungbiu, Kabupaten Buleleng Tahun Pelajaran 2017/2018.
Estimating subnational preferences across the European Union

Abstract Subnational analyses of political preferences are substantively relevant and offer advantages for causal inference. Yet, our knowledge on regional political preferences across Europe is limited, not least because there is a lack of adequate data. The rich Eurobarometer (EB) data is a promising source for European-wide regional information. Yet, it is only representative for the national level. This paper compares state-of-the-art methods for estimating regional preferences from nationally representative EB data, validating predictions with regionally representative surveys. Our analysis highlights a number of challenges for estimating regional preferences across Europe, such as data availability, variable selection, and over-fitting. We find that predictions are best using a Bayesian additive regression tree with synthetic post-stratification.
Politics of Ethnicity, Identity and Religion: Turkish Muslims in Britain

Methodology: ethnographic narrative and survey migration, ethnicity and ethnic identity - theories revisited Turkish labour migration to Western Europe and Britain family, kinship and reproduction of traditional values young generation and regeneration of identity religious beliefs, attitudes and practices among the youth Turkish organizations as social vehicles transnational Islam and articulation of identity trans-state Islam - religio-political organizations.
Five Attitudes of Effective Teachers: Implications for Teacher Training

CALL FOR SUBMISSIONS! Essays in Education (EIE) is a professional, peer-reviewed journal intended to promote practitioner and academic dialogue on current and relevant issues across human services professions. The editors of EIE encourage both novice and experienced educators to submit manuscripts that share their thoughts and insights. Visit https://openriver.winona. edu/eie for more information on submitting your manuscript for possible publication.
Justifying drug substitution therapies: the case of methadone maintenance treatment.

This paper reviews the use of methadone maintenance programmes and examines the rationale for their continuance. The paper outlines the account of methadone use from the 1964 trials of Dole and Nyswander. Methadone actually effectively transfers dependency form one drug to another and this difficulty is discussed. The paper looks at the benefits that methadone maintenance can bring about for users and society as a whole. Research has shown that the provision of methadone reduces heroin use and crime, significantly reduces mortality among opiate users, and reduces the rates of HIV infection and risky behaviour. methadone maintenance is unlikely to protect the substantial number of patients who continue to use heroin sporadically from hepatitis C. Research reviewed shows that maintenance does not prolong dependence any longer than would occur in the absence of treatment or in cases where the person enters some other form of treatment. Evidence points to high doses of methadone over longer rather than short periods of treatment. The review also highlights that the risks are greatest in the first two weeks of treatment, with an increased rate of overdose. After four decades of research, the review concludes that methadone maintenance is an effective treatment for opioid dependence, and that its widespread application throughout the world is a good example of an evidence-based intervention for the treatment of drug dependence.
Network Dynamics and Communities in Applied Biomedical Research

We investigate the emergence and structuration of the research on prion. Resorting to bibliometric data and tools from social network analysis, we look at the progressive appearance of a dense social network of researchers working on prion. We suggest that the relevant unit of analysis of medical knowledge creation is the community. We then detail how isolated communities emerge and connect to one another to produce a connected network. We then investigate the link creation dynamics to understand the collaboration patterns that the emergence of the observed macro-structures explains at a micro-level, showing that these micro-dynamics evolve over time as the field matures. JEL Codes: O31, O33, D8
The effects of antiretroviral therapy on HIV-positive individuals in Wakiso District, Uganda

AIMThe aim was to explore the experiences of HIV-positive individuals before and after gaining access to antiretroviral therapy in Wakiso District, Uganda and how antiretroviral therapy impacts certain aspects of those living with HIV, such as sexual behavior, support systems, faith and personal identity.METHODSBased on secondary data analysis of “Life On Antiretroviral Therapy: People’s Adaptive Coping And Adjustment To Living With HIV As A Chronic Condition In Wakiso District, Uganda” by Steven Russell (2015). The data was reanalysed using the conceptual framework from Bronfenbrenner’s ecological systems model.RESULTSSix main themes will be presented including personal life after HIV diagnosis, acceptance of HIV status, disclosure of identity, changes in sexual behavior, different types of support systems, and increasing faith and strength from God. After receiving antiretroviral therapy, the quality of life seemed to improve for some of the participants. Participants described their experiences living with HIV/AIDS, such changes in personal goals and perception of self, immediate acceptance of positive HIV results, disclosure of identity to certain people, the different types of support offered from each support system they have, abstaining from sex and the use of contraceptives against future transmission. Furthermore, participants have also described an increase of faith and belief in God in order to cope with HIV/AIDS.CONCLUSIONPeople living with HIV in Wakiso District, Uganda have described significant changes in their lives after receiving antiretroviral therapy. These changes affect them both physically and emotionally therefore more research must be done to investigate the influence of antiretroviral therapy on wellbeing.
Learning about the learning process: from active querying to fine-tuning

The majority of research on academic machine learning addresses the core model fitting part of the machine learning workflow. However, prior to model fitting, data collection and annotation is an important step; and subsequently to this, knowledge transfer to different but related problems is also important. Recently, the core model fitting step in this workflow has been upgraded using learning-to-learn methodologies, where learning algorithms are applied to improve the fitting algorithm itself in terms of computation or data efficiency. However, algorithms for data collection and knowledge transfer are still commonly hand-engineered. In this doctoral thesis, we upgrade the pre-and post-processing steps of the machine learning pipeline with the learningto-learn paradigm. We first present novel learning-to-learn approaches that improve the algorithms for this pre-processing step in terms of label efficiency. The inefficiency of data annotation is a common issue in the field: To fit the desired model, a large amount of data is usually collected and annotated, much of which is useless. Active learning aims to address this by selecting the most suitable data for annotation. Since conventional active learning algorithms are hand-engineered and heuristically designed for a specific problem, they typically cannot be adapted across nor even within datasets. The data efficiency of active learning can be improved either by online learning active learning within a specific problem, or by transferring active learning knowledge between related problems. We begin by investigating the framework of leaning active learning online, which learns to select the best criteria for a particular dataset as queries are made. It enables online adaptation, along with the state of the model and dataset changes, while guaranteeing performance. Subsequently, we upgrade the previous framework to a data-driven learning-based approach by learning a transferable active-learning policy end-to-end. The framework is thus capable of directly optimising the accuracy of the underlying classifier, and can adapt to the statistics of any given dataset. More importantly, the learned active-learning policy is domain agnostic and generalises to new learning problems. We next turn to knowledge transfer from a well-learned problem to a novel target problem. We develop a new learning-to-learn technique to improve the effectiveness and efficiency of fine-tuning-based transfer learning. Conventional transfer learning approaches are heuristic: Most commonly, small learning-rate stochastic gradient descent starting from the source model as a condition, and keeping the architecture constant. However, the typical transfer learning pipeline transfers learning from a general
Extended Kalman Filter Identification for the Parameters of a Three-Blade Wind Turbine Dynamics

Nowadays there are proposals and politics in several planet regions with targets of renewable sources adoption. In this context, wind energy presents an important source growing up in electrical energy generation, motivated by public politics and by technological maturation, being more competitive compared to conventional sources. One of actual problems in wind turbines design is parameters determination in structural calculus, which several times arise by experimental assumptions. This paper presents an application of Extended Kalman Filter (EKF) methodology for parameter identification in structural analysis of three-blade wind turbine, applying a nonlinear computational dynamical model from so-called field data.
GDPR and the Localness of Venture Investment

We examine how investors' tendency to invest locally interacts with Europe's General Data Protection Regulation (GDPR). Using five-year investment data, we demonstrate that GDPR differentially affects investors as a function of their proximity to ventures. We show that GDPR's rollout in May 2018 has negative effects on EU venture investment, and the effects are larger when ventures and lead investors are not in the same state or union. The relationship manifests in the number of deals and the amount invested per deal, and is pronounced for newer, data-related, and consumer-facing ventures, as well as for repeat investments. GDPR's earlier enactment in April 2016 exhibits similar effects for investors that invest out of their preferred industries.
Responses and factors affecting intramammary infection rates resulting from infusion of a Streptococcus uberis strain in Friesian - Jersey crossbred cows

The objective of this study was to investigate responses to an intramammary infusion of a Streptococcus uberis strain in 264 Friesian-Jersey cows, and identify factors contributing to clinical mastitis risk in the week following infusion. Factors examined for their contribution to risk include sire, days in milk at the time of infusion, SCC on the morning of infusion, previous mastitis treatment history, and the presence of any major pathogens at the time of infusion. Prior to infusion, milk samples were collected from all glands for bacteriology assessment, and antibiotic treatments were administered to clear infections. A single gland from each cow was infused with an average 104 colony-forming units (sd=22) of Streptococcus uberis, and milk samples were collected at each milking for the subsequent 13 milkings, or until diagnosis of clinical mastitis. Logistic regression and survival analysis were used to determine risk factors. Findings showed that cows with a somatic cell count at infusion of ≥100,000 cells/ml had a lower incidence of clinical mastitis (18.3% vs. 81.5%; p<0.0001). Results also indicated that the presence of Staphylococcus aureus at infusion for cows that had no pre-infusion mastitis treatment(s) was associated with a lower incidence of clinical mastitis (29.0% vs. 82.8%; p<0.0001).