Miracle-dz/UniFAR-FTUs huggingface dataset:
A dança de salão e seus benefícios motores, cognitivos e sociais

Este projeto tem por objetivo desenvolver um curso de danca de salao para a comunidade com enfase nos aspectos motores, cognitivos e sociais. Pretende-se analisar quais os beneficios com a pratica de acordo com a concepcao de seus praticantes. As aulas foram divididas nos estagios iniciante e intermediario com duracao de dois meses cada. Os ritmos trabalhados foram: forro, bolero, valsa e samba de gafieira. A maioria dos participantes estava com idade acima dos 50 anos. Ao final de cada estagio foi realizada uma avaliacao com base nos criterios de musicalidade, tecnica, postura e equilibrio. E, ao termino foi aplicado um questionario para verificar a percepcao dos praticantes com relacao aos beneficios da pratica. De acordo com a analise do primeiro estagio do projeto foi verificado que a maioria das participantes apresentaram dificuldades em musicalidade, equilibrio, tecnica e postura. No segundo estagio houve uma melhora significativa na musicalidade, equilibrio, tecnica e postura. A analise dos questionarios mostrou que as participantes fizeram novas amizades, fortaleceram e melhoraram o convivio social. Relataram que houve uma melhora na postura, comunicacao, auto-estima e na disposicao. Tambem houve melhora na coordenacao motora e diminuicao do stress. Todos estes fatores auxiliaram para a melhoria da qualidade de vida das participantes. O presente estudo mostra que a pratica regular da danca de salao e uma alternativa viavel para auxiliar na melhoria da saude e qualidade de vida das pessoas.
Comparison of effects between home visits with telephone calls and telephone calls only for transitional discharge support: a randomised controlled trial

Background: home visits and telephone calls are two often used approaches in transitional care but their differential effects are unknown. Objective: to examine the overall effects of a transitional care programme for discharged medical patients and the differential effects of telephone calls only. Design: randomised controlled trial. Setting: a regional hospital in Hong Kong. Participants: patients discharged from medical units ﬁ tting the inclusion criteria ( n = 610) were randomly assigned to: control ( ‘ control ’ , n = 210), home visits with calls ( ‘ home ’ , n = 196) and calls only ( ‘ call ’ , n = 204). Intervention: the home groups received alternative home visits and calls and the call groups calls only for 4 weeks. The control group received two placebo calls. The nurse case manager was supported by nursing students in delivering the interventions. Results: the home visit group (after 4 weeks 10.7%, after 12 weeks 21.4%) and the call group (11.8, 20.6%) had lower readmission rates than the control group (17.6, 25.7%). Signi ﬁ cance differences were detected in intention-to-treat (ITT) analysis for the home and intervention group (home and call combined) at 4 weeks. In the per-protocol analysis (PPA) results, signi ﬁ cant differences were found in all groups at 4 weeks. There was signi ﬁ cant improvement in quality of life, self-ef ﬁ cacy and satisfaction in both ITT and PPA for the study groups. Conclusions: this study has found that bundled interventions involving both home visits and calls are more effective in redu-cing readmissions. Many of the transitional care programmes use all-quali ﬁ ed nurses, and this study reveals that a mixed skills model seems to bring about positive effects as well. Abstract Background: UK care home residents are often poorly served by existing healthcare arrangements. Published descriptions of residents ’ health status have been limited by lack of detail and use of data derived from surveys drawn from social, rather than health, care records. Aim: to describe in detail the health status and healthcare resource use of UK care home residents Design and setting: a 180-day longitudinal cohort study of 227 residents across 11 UK care homes, 5 nursing and 6 residential, selected to be representative for nursing/residential status and dementia registration. Method: Barthel index (BI), Mini-mental state examination (MMSE), Neuropsychiatric index (NPI), Mini-nutritional index (MNA), EuroQoL-5D (EQ-5D), 12-item General Health Questionnaire (GHQ-12), diagnoses and medications were recorded at baseline and BI, NPI, GHQ-12 and EQ-5D at follow-up after 180 days. National Health Service (NHS) resource use data were collected from databases of local healthcare providers. Results: out of a total of 323, 227 residents were recruited. The median BI was 9 (IQR: 2.5 – 15.5), MMSE 13 (4 – 22) and number of medications 8 (5.5 – 10.5). The mean number of diagnoses per resident was 6.2 (SD:
Paradoxes of Enrichment: Effects of Increased Light versus Nutrient Supply on Pelagic Producer‐Grazer Systems

Energy‐based plant‐herbivore models produce the “paradox of enrichment,” a destabilizing influence of enrichment on population dynamics. Because many plants change their carbon:nutrient stoichiometry in response to the light:nutrient supply ratio, enrichment with light can cause a mismatch between the elemental compositions of plants and their herbivores. Herbivore growth rates may then decrease with increased light supply, which is termed the “paradox of energy enrichment. ” I present a stoichiometric phytoplankton‐grazer model that accounts for the dynamical vertical light gradient and explore how algal and grazer densities, mineral nutrient concentration, algal nutrient stoichiometry, and system stability respond to enrichment with light (through changes in irradiance, background turbidity, and water column depth) versus enrichment with nutrients. Parameterized for Daphnia, the model produces several “unusual” phenomena: multiple equilibria (with grazers extinct in spite of high algal biomass at one equilibrium), inconsistent light enrichment effects on stability (light enrichment first destabilizes and then stabilizes), and the paradox of energy enrichment. These phenomena are restricted to the low end of realistic nutrient supplies except in very shallow systems, where high sedimentation rates effectively deplete the water column of nutrients. At higher nutrient supplies, light enrichment produces the classical paradox of enrichment, leading first to an increase in grazers at a stable equilibrium and then to algae‐grazer oscillations.
Autoregressive density modeling with the Gaussian process mixture transition distribution

We develop a mixture model for transition density approximation, together with soft model selection, in the presence of noisy and heterogeneous nonlinear dynamics. Our model builds on the Gaussian mixture transition distribution (MTD) model for continuous state spaces, extending component means with nonlinear functions that are modeled using Gaussian process (GP) priors. The resulting model flexibly captures nonlinear and heterogeneous lag dependence when several mixture components are active, identifies low‐order nonlinear dependence while inferring relevant lags when few components are active, and averages over multiple and competing single‐lag models to quantify/propagate uncertainty. Sparsity‐inducing priors on the mixture weights aid in selecting a subset of active lags. The hierarchical model specification follows conventions for both GP regression and MTD models, admitting a convenient Gibbs sampling scheme for posterior inference. We demonstrate properties of the proposed model with two simulated and two real time series, emphasizing approximation of lag‐dependent transition densities and model selection. In most cases, the model decisively recovers important features. The proposed model provides a simple, yet flexible framework that preserves useful and distinguishing characteristics of the MTD model class.
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data

Active search is the process of identifying high-value data points in a large and often high-dimensional parameter space that can be expensive to evaluate. Traditional active search techniques like Bayesian optimization trade off exploration and exploitation over consecutive evaluations, and have historically focused on single or small (<5) numbers of examples evaluated per round. As modern data sets grow, so does the need to scale active search to large data sets and batch sizes. In this paper, we present a general hierarchical framework based on bandit algorithms to scale active search to large batch sizes by maximizing information derived from the unique structure of each dataset. Our hierarchical framework, Hierarchical Batch Bandit Search (HBBS), strategically distributes batch selection across a learned embedding space by facilitating wide exploration of different structural elements within a dataset. We focus our application of HBBS on modern biology, where large batch experimentation is often fundamental to the research process, and demonstrate batch design of biological sequences (protein and DNA). We also present a new Gym environment to easily simulate diverse biological sequences and to enable more comprehensive evaluation of active search methods across heterogeneous data sets. The HBBS framework improves upon standard performance, wall-clock, and scalability benchmarks for batch search by using a broad exploration strategy across coarse partitions and fine-grained exploitation within each partition of structured data.
VARIANCE ESTIMATION FROM COMPLEX SURVEYS USING BALANCED REPEATED REPLICATION

For estimating the variance of nonlinear statistics like regression and correlation coefficients in stratified sampling designs, the Balanced Repeated Replication (BRR) method has received special attention, although other procedures like linearization (Taylor’s series expansion method), Jackknife repeated replications and the Bootstrap method are also available in the literature. BRR method involves in forming replication by choosing one of the units selected from each stratum to form a replication. Each of the replications provides an estimate of the nonlinear statistic. The procedure is repeated many times to get more stable estimator.
An approach for discovering/indexing and composition of distributed services

In this paper, we present a new approach for indexing and discovering services in distributed systems. We propose to describe and index a service by properties (characteristics): its static properties (like its location, its provider name, etc.), its dynamic properties (behaviour) and its interface (parameters, methods, etc.). These three levels provide a complete vision about the service description. They can be used by clients to query and discover services. For this purpose, we propose a trader which relies on ontologies and knowledge representation to index and store the characteristics of services. The association of an ontology and knowledge representation provides a powerful combination that we will examine in the document. This development is compatible with the trader interface as defined by ODP and CORBA. Based on the description of the service behaviour and its interface, we propose in this paper, an approach which allows the client to compose and to combine services dynamically.
Asymmetric linear double autoregression

This article proposes the asymmetric linear double autoregression, which jointly models the conditional mean and conditional heteroscedasticity characterized by asymmetric effects. A sufficient condition is established for the existence of a strictly stationary solution. With a quasi‐maximum likelihood estimation (QMLE) procedure introduced, a Bayesian information criterion (BIC) and its modified version are proposed for model selection. To detect asymmetric effects in the volatility, the Wald, Lagrange multiplier and quasi‐likelihood ratio test statistics are put forward, and their limiting distributions are established under both null and local alternative hypotheses. Moreover, a mixed portmanteau test is constructed to check the adequacy of the fitted model. All asymptotic properties of inference tools including QMLE, BICs, asymmetric tests and the mixed portmanteau test, are established without any moment condition on the data process, which makes the new model and its inference tools applicable for heavy‐tailed data. Simulation studies indicate that the proposed methods perform well in finite samples, and an empirical application to S&P500 index illustrates the usefulness of the new model.
High-Order Split-Step Schemes for Time-Dependent Coupled-Wave Equations

A high-order split-step algorithm is developed and presented to solve the time-dependent coupled-wave equations for traveling-wave optical fields in a variety of grating-based optical devices such as the distributed feedback and distributed Bragg reflector lasers. Based on the Suzuki's fractal decomposition approach, Lie-Trotter-Suzuki product formula is used to construct the higher order solution that converges faster than the conventional split-step method. The accuracy and efficiency of the new scheme are assessed by way of examples and shown to be superior to those of the conventional method
English Event Detection With Translated Language Features

We propose novel radical features from automatic translation for event extraction. Event detection is a complex language processing task for which it is expensive to collect training data, making generalisation challenging. We derive meaningful subword features from automatic translations into target language. Results suggest this method is particularly useful when using languages with writing systems that facilitate easy decomposition into subword features, e.g., logograms and Cangjie. The best result combines logogram features from Chinese and Japanese with syllable features from Korean, providing an additional 3.0 points f-score when added to state-of-the-art generalisation features on the TAC KBP 2015 Event Nugget task.
A high efficiency Zero Voltage-Zero Current Transition converter for battery cell equalization

This paper proposes a new ZVZCT (Zero Voltage Zero Current Transition) dc/dc converter for voltage equalization in series connected battery cells. The proposed circuit equalizes the battery cells by principle of voltage-second balance of inductor and transformer coupling. By adding auxiliary resonant cells at the main switching devices such as MOSFET or IGBT, zero current switching is achieved and turned off loss of switching elements is eliminated. In the other hand, zero voltage switching can be applied to switching elements by the voltage/second balancing of the inductor. Transformer coupling between battery cells and ZVZCT switching method allows the fast balancing speed and high frequency operation, which reduces size and weight of the circuit. The validity of the battery equalization is further verified using prototype board involving four lithium-ion battery cells. The experiment result shows that the proposed ZVZCT battery equalization scheme can achieve faster equalization speed and increase the efficiency compare with the conventional battery equalization schemes.
Human Herpesvirus 8 LANA Interacts with Proteins of the mSin3 Corepressor Complex and Negatively Regulates Epstein-Barr Virus Gene Expression in Dually Infected PEL Cells

ABSTRACT The human herpesvirus 8 (HHV-8) latency-associated nuclear antigen (LANA) is expressed in all latently HHV-8 infected cells and in HHV-8-associated tumors, including primary effusion lymphoma (PEL). To better understand the contribution of LANA to tumorigenesis and to the PEL phenotype, we performed a yeast two-hybrid screen which identified the corepressor protein SAP30 as a LANA binding protein. SAP30 is a constituent of a large multicomponent complex that brings histone deacetylases to the promoter. Glutathione S-transferase affinity assays confirmed interaction between LANA and SAP30 and also demonstrated interactions between LANA and two other members of the corepressor complex, mSin3A and CIR. The corepressors bound to the amino-terminal 340-amino-acid domain of LANA. In transient expression assays, this same domain of LANA mediated repression when targeted to a 5×Gal4tk-CAT reporter as a GAL4-LANA fusion. PEL cells have the unusual feature that they are frequently dually infected with both HHV-8 and Epstein-Barr virus (EBV). We found that EBV EBNA-1 expression is downregulated in PEL cells at both the RNA and protein levels. In transient expression assays, LANA repressed activated expression from the EBV Qp and Cp latency promoters. Reduction of endogenous Qp activity could also be demonstrated in EBV-infected Rael cells transfected with a LANA expression plasmid. In contrast to the effect of LANA on EBV latency promoters, LANA activated expression from its own promoter. The data indicate that LANA can mediate transcriptional repression through recruitment of an mSin3 corepressor complex and further that LANA-mediated repression is likely to contribute to the low level of EBV latency gene expression seen in dually infected PEL cells.
A rapid micro method for determination of ascorbic acid in urine by ferric reduction.

A new method for the determination of ascorbic acid in urine is based on the quantitative reduction of ferric to ferrous ion by ascorbic acid and the colorimetric measurement of the ferrous ion through its formation of a colored complex with bathophenanthroline. The complex is quantitatively extracted into chloroform, and its absorbance is measured in this solvent. The method is simple, very rapid, and has good specificity for clinical purposes. Only 0.05-0.25 ml. of urine is required per determination. All reagents used in the method, except the ascorbic acid standard, are stable indefinitely.
Simulation study on millimeter wave 3D beamforming systems in urban outdoor multi-cell scenarios using 3D ray tracing

Urban outdoor millimeter wave communication systems will comprise of dense cell deployment and large-sized array antennas. In this paper, a millimeter wave downlink system-level simulator operating at 73 GHz, which emulates multiple base stations (BSs) and user equipments (UEs) in an outdoor street geometry, is developed. Each BS and UE are surrounded by moving obstacles (e.g., moving cars and walking pedestrians). Two-dimensional (2D) array antennas are employed at both UE and BS to form the 3-dimensional (3D) beams to combat the severe pathloss found in the spectrum. The 3D ray tracer customized to the 3D beam patterns is implemented in the simulator using the OpenGL platform. The 3D ray tracer, in our simulator, carries out the beam alignment task and produces physical channels between UE and BS. The physical channel representation characterizes useful link statistics, e.g., link blockage and co-channel interference statistics. It is shown through the simulation study that high density BS deployment with the directional 3D beamforming enhances the link quality and decreases outage probability compared to the lower density BS deployment. However, the performance degradation caused by the co-channel interference compared to the zero-interference case is still significant. Furthermore, it is observed that high density moving obstacles deteriorate both the throughput and outage performances compared to the low density case because of the increased link blockage.
Regression and classification methods for nasolabial folds: A possible paradigm for computer‐aided diagnosis of skin diseases

Classification of facial features, for example, nasolabial folds, still relies mainly on clinical assessment, resulting in significant costs because of high intra‐ and interrater variability. Further, diagnosing skin diseases, for example, malignant melanoma, also can present challenges. In an attempt to reduce cost of medical care in future, we determined the utility of methods in image processing and statistical analysis to automatically quantify, for example, the structure of nasolabial folds. To the best of our knowledge, this is the first report of the application of computer technology to grading of nasolabial folds. When classifying severity of wrinkles on a scale of 1–5, the computer achieved an accuracy of 87% compared to the dermatologist, taken as the gold standard. Further, the computer program's capacity to sort the order of wrinkles from least to most wrinkled was 98% as accurate as the clinician(s). We conclude that by using computer technology, nasolabial folds can be categorized almost as accurately as by using grading by dermatologists, suggesting that computer technology may be a useful tool to grade nasolabial folds because a computer is always consistent. We hypothesize that, after additional studies, this technology also may be a useful tool to aid in diagnosing skin diseases.
Investigating Cloud Adoption Model using Analytics: A Case Study of Saudi Government Agencies

Cloud computing is an innovation in world technology. It is used to provide organization services as a utility service through the internet and enhance the innovative uptake of cloud computing for improved effectiveness and efficiency. There are adoption challenges in the uptake of cloud computing by government agencies. This paper seeks to identify the attributes of cloud computing which are relevant to public organizations, investigate the factors affecting the adoption of cloud computing and develop an effective model to address these challenges. Sample government agencies from Saudi Arabia are used to investigate the challenges and identify the characteristics from which an adoption model is motivated. The proposed model consists of case study findings based on an analysis of evidence from these organizations. Random samples from different categories of professionals in Saudi Arabia participated in a questionnaire to extract and confirm the influential factors from which insights are derived through classification. The results are then used to determine the tipping point for the uptake of the appropriate cloud model for services provided by government agencies in the Saudi Arabian context. This paper presents the context, motivations, data collection approach, analytics on survey results, tipping point parameters and the principle factors for cloud adoption. Some initial results are presented and future work is summarized.
Etude de la qualité de données à partir de l'apprentissage automatique : application aux arbres d'induction

These entrant dans le domaine d'activite de la decouverte de connaissances a partir des donnees. En classification, la plupart des strategies d'evaluation se focalisent sur la precision du modele predictif construit. L'objectif est de mettre en relief l'apport des explications fournies par les classifieurs a l'aide de leurs capacites predictives afin d'etudier la qualite de donnees. Une approche generale est proposee, appropriee a toute methode procedant par restructuration de l'ensemble d'apprentissage en une hierarchie de partitions. A partir de cette derniere, nous proposons a l'utilisateur une quantification de la qualite du modele, elaboree en fonction de l'explication fournie. Nous mettons en oeuvre une approche avec les arbres de decision. Nous avons ainsi mis au point IQN, IQA et IQR, des indices de qualite qui resument la valeur specifique et globale des arbres. Ces indices estiment la generalite, la complexite et la precision du resultat. IQN evalue la qualite des noeuds alors que IQA et IQR synthetisent la qualite des arbres et sous-arbres a partir de celles de leurs feuilles. Ainsi, nous sommes en mesure de determiner les elements qui influencent le plus la qualite des arbres. Nous montrons l'interet de ces techniques d'evaluation de la qualite appliquees a l'explication et ala restructuration des donnees en les illustrant sur deux problemes medicaux pour lesquels les performances en classification sont opposees. Dans un cas, l'explication des donnees est satisfaisante alors que dans l'autre elle demeure incertaine.