Miracle-dz/UniFAR-FTUs huggingface dataset:
Statistical approach Based on Deep Neural Networks for Oscillometric Blood Pressure Estimation

Oscillometric blood pressure (BP) devices currently estimate a single point but do not identify fluctuations in BP or distinguish them from variations in response to physiological properties. In this paper, to analyze BP normality based on oscillometric measurements, we use statistical approaches including kurtosis, skewness, Kolmogorov-Smirnov, and correlation tests. Then, to mitigate uncertainties, we use a deep neural network (DNN) to determine the confidence limits (CLs) of BP measurements based on their normality. The proposed DNN regression model decreases the standard deviation of error (SDE) of the mean error (ME) and the mean absolute error (MAE) and reduces the uncertainty of the CLs and SDEs of the proposed technique. We validate the normality of the distribution of the BP estimation distribution which fits the Gaussian distribution very well. We use a rank test in the Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 21 May 2018 doi:10.20944/preprints201805.0276. v1 © 2018 by the author(s). Distributed under a Creative Commons CC BY license. DNN regression model to demonstrate the independence of the artificial SBP and DBP estimations. First, we perform statistical tests to verify the normality of the BP measurements for individual subjects. The proposed methodology provides accurate BP estimations and reduces the uncertainties associated with the CLs and SDEs based on the DNN regression estimator.
The case for a Canadian national school food program

Canada is one of the only member countries of the Organization for Economic Cooperation and Development (OECD) without a national school food program. Good nutrition impacts children’s health, wellbeing, and learning; and school food environments offer an important setting to promote health and other food system sustainability behaviours that can last a lifetime. We present an overview of national and international evidence, with a focus on promising practices that support the establishment of a national school food program in Canada. School food programs have been shown to benefit health and dietary behaviour and critical food literacy skills (learning, culture, and social norms) that support local agriculture and promote sustainable food systems. Finally, we make recommendations for key elements that should be included in a national school food program for Canada.
Do experienced stress and trait negative affectivity moderate the relationship between headache and quality of life in adolescents

Objective: To test the moderating effects of trait negative affectivity (NA) and experienced stress (ES) on the interrelation between headache and health-related quality of life (HQL) in adolescents. Method: Participants with migraine or with no-migraine primary headache (n 5 64) were selected from the total population of two secondary schools (N 5 1,566). Across a 4-week interval, participants completed a headache and stress diary and an HQL questionnaire. Additionally, a neuroticism scale was completed as a measure for NA. Results: Independent of negative affectivity and stress, headache was found to affect these HQL domains: functional status, satisfaction with life in general, and satisfaction with health. The ES moderated the effect of headache on psychological functioning and satisfaction with life in general. Conclusions: Headache activity in adolescents leads to a lower functional status, health satisfaction, and life satisfaction. The effect of headache on life satisfaction is greater in adolescents who experience high levels of stress.
Risk Perception in the Correlation between the Tendency of Using Internet and Customers’ Willingness to Use Online Payment System

This study aims to determine the extent of the influence of risk perception on the willingness of customers to use online payment system and online purchases, as well as to measure whether the experience and the tendency to use the internet have a significant effect in increasing the willingness of customers to use the online banking facilities and online payments. There are several things that affect the willingness of customers to use the online payment system services; those are, the tendency factor of using the internet and experience factor of using the internet. Those factors have a positive influence on the willingness of customers to use online payment system facility. Perception of risk in using the online payment system service facilities has a negative influence on the willingness of customers to use online payment system facility because the use of the internet has several types of risks that should be acceptable to customers. The tendencies to use the internet and the internet experience factors have a negative influence on the perception of risk in the willingness of customers to use online payment system facilities. Does the perception of risk have a mediation role in the relationship between the tendency to use and experience to use the internet to customers’ willingness to use online payment system? This is a kind of interesting question to study. This research uses a model from a previous study [22]. The willingness of using online payment system service is a big opportunity for the E-Business development, especially in Yogyakarta, Indonesia.
Determinants and Interactions of Sustainability and Risk Management of Commercial Cattle Farmers in Namibia

We study the determinants and interactions of sustainability and risk management with a cross-sectional dataset on commercial cattle farming in semi-arid rangelands in Namibia. Cattle farmers in Namibia act within a coupled ecological-economic system that is subject to extensive degradation and high environmental risk. Based on survey data, we develop variables for sustainability and risk management within this context, identify their determinants and analyse relevant interactions. Our results show that the ecosystem condition is positively influenced when financial risk management strategies are applied. On-farm risk management, like additional feed for cattle or resting part of the rangeland, and collective risk management through interest groups or governmental support, instead, do not impact on the sustainability of the farm. Risk management itself is predominantly influenced by various risks linked to the farming business and the farmers’ educational background. Furthermore, the gathered experience through operation time on farm decreases the application of on-farm risk management and favours the use of financial and collective risk management. Additionally, collective risk management is influenced by risk preferences, indicating that farmers who are more risk friendly apply forms of joint risk management strategies to a lesser extent. Risk friendliness is also negatively related to the economic sustainability, specified as the ability to sustain the livelihood of the farmer. However, the results show no indication whatsoever that time preferences impact on either sustainability or risk management.
Are Steadily Moving Crystals Unstable

We study the dynamics of small fluctuations about the uniform state of a crystal moving through a dissipative medium, e.g., a sedimenting colloidal crystal or a moving flux lattice, using a set of continuum equations for the displacement fields, and a one-dimensional driven lattice- gas model for the coupled concentration and tilt fields. For the colloidal crystal we predict a continuous nonequilibrium phase transition to a clumped state above a critical Peclet number.
Photocentric variability of quasars caused by variations in their inner structure: Consequences for Gaia measurements

Context. We study the photocenter position variability caused by variations in the quasar inner structure. We consider the variability in the accretion disk emissivity and torus structure variability caused by the different illumination by the central source. We discuss the possible detection of these effects by Gaia. Observations of the photocenter variability in two AGNs, SDSS J121855+020002 and SDSS J162011+1724327 have been reported and discussed. Aims. For variations in the quasar inner structure, we explore how much this effect can affect the position determination and whether it can (or not) be detected with the Gaia mission. Methods. We use models of (a) a relativistic disk, including the perturbation that can increase the brightness of part of the disk, and consequently offset the photocenter position, and (b) a dusty torus that absorbs and re-emits the incoming radiation from the accretion disk (central continuum source). We estimate the value of the photocenter offset caused by these two effects. Results. We found that perturbations in the inner structure can cause a significant offset to the photocenter. This offset depends on the characteristics of both the perturbation and accretion disk and on the structure of the torus. In the case of the two considered QSOs, the observed photocenter offsets cannot be explained by variations in the accretion disk and other effects should be considered. We discuss the possibility of exploding stars very close to the AGN source, and also that there are two variable sources at the center of these two AGNs that may indicate a binary supermassive black hole system on a kpc (pc) scale. Conclusions. The Gaia mission seems to be very promising, not only for astrometry, but also for exploring the inner structure of AGNs. We conclude that variations in the quasar inner structure can affect the observed photocenter (by up to several mas). There is a chance to observe such an effect in the case of bright and low-redshift QSOs.
Wineinformatics: A Quantitative Analysis of Wine Reviewers

Data Science is a successful study that incorporates varying techniques and theories from distinct fields including Mathematics, Computer Science, Economics, Business and domain knowledge. Among all components in data science, domain knowledge is the key to create high quality data products by data scientists. Wineinformatics is a new data science application that uses wine as the domain knowledge and incorporates data science and wine related datasets, including physicochemical laboratory data and wine reviews. This paper produces a brand-new dataset that contains more than 100,000 wine reviews made available by the Computational Wine Wheel. This dataset is then used to quantitatively evaluate the consistency of the Wine Spectator and all of its major reviewers through both white-box and black-box classification algorithms. Wine Spectator reviewers receive more than 87% accuracy when evaluated with the SVM method. This result supports Wine Spectator’s prestigious standing in the wine industry.
Current fluctuations and transport efficiency for general Langevin systems

We derive a universal bound on generalized currents in Langevin systems in terms of the mean-square fluctuations of the current and the total entropy production. This bound generalizes a relation previously found by Barato et al to arbitrary times and transient states. Using the bound, we define a new efficiency for stochastic transport, which measures how close a given system comes to saturating the bound. The existence of such a bounded efficiency implies that stochastic transport is unavoidably accompanied by a fluctuations and dissipation, which cannot be reduced arbitrarily. We apply the definition of transport efficiency to steady state particle transport and heat engines and show that the transport efficiency may approach unity at finite current, in contrast to the thermodynamic efficiency. Finally, we derive a bound on purely diffusive transport in terms of the Shannon entropy.
Downward Sloping Demand Curves, the Supply of Shares, and the Collapse of Internet Stock Prices

Over March and April 2000, Internet stocks lost 56%, or $700 billion. This sudden collapse has been attributed to an increasing supply of shares from lockup expirations and equity offerings. I show that Internet stocks collapsed in this period regardless of whether their lockups expired. Furthermore, daily Internet stock portfolio returns were almost unaffected by the number or dollar amount of lockup expirations that day, or by the amount of stock offered in IPOs or SEOs. Most of the Internet stock decline is explained by poor marketwide returns, particularly for growth stocks.
Analysis of Lightweight Register Hardware Threat

In this paper, we present a design methodology of lightweight register transfer level (RTL) hardware threat implemented based on a MAX II FPGA platform. The dynamic power consumed by the toggling of the various bit of registers as well as the dynamic power consumed per unit of logic circuits were analyzed. The hardware threat was designed taking advantage of the differences in dynamic power consumed per unit of logic circuits to hide the transfer information. The experiment result shows that the register hardware threat was successfully implemented by using different dynamic power consumed per unit of logic circuits to hide the key information of DES encryption module. It needs more than 100000 sample curves to reduce the background noise by comparing the sample space when it completely meets the time alignment requirement. In additional, an external trigger signal is playing a very important role to detect the hardware threat in this experiment. Keywords—Side-channel analysis, hardware threat, register transfer level, dynamic power.
Design & Fabrication of Tramadol HCl loaded Multiparticulate Colon Targeted Drug Delivery System

The aim of the present study is to develop a multip articulate system containing pectin microspheres for the colon targeted delivery of Tra mdol HCl (TMD) for the treatment of irritable bowel syndrome. This work combines pH-dep endent solubility of shellac polymers and microbial degradability of pectin polymers. Pectin microspheres containing TMD were prepared by emulsion cross linking method using different ra tios of TMD and pectin (1:2 to 1:5), stirring speeds (500-2000 rpm) and emulsifier concentrations (1.0 % - 2.0% wt/vol). The yield of preparation and the encapsulation efficiencies were high for all pectin microspheres. Microspheres prepared by using drug: polymer ratio 1:3, stirring speed 1000 rpm, and 1.25% wt/vol concentration of emulsifying agent were sele cted as an optimized formulation. Shellaccoating of pectin microspheres was performed by oil -in-oil solvent evaporation method using coat: core ratio (5:1). Microspheres were evaluated for surface morphology, particle size and size distribution, swellability, percentage drug en trapment, and in vitro drug release in simulated gastrointestinal fluids (SGF). The releas e profile of TMD from Shellac-coated pectin microspheres was pH dependent. In acidic medium, th e release rate was much slower; however, the drug was released quickly at pH 7.4. It is conc luded from the present investigation that Shellac-coated pectin microspheres are promising co ntrolled release carriers for colon-targeted delivery of TMD.
Bee Products and Essential Oils as Alternative Agents for Treatment of Infections Caused by S. aureus

Bacteria of the genus Staphylococcus are important human and veterinary pathogens. A crucial characteristic for this group of bacteria is that they can easily acquire mechanisms of antibiotic resistance for a plethora of antibiotics currently in use for human and animal therapies. Therefore, there is a great need to find novel, non-antibiotic chemotherapeutics with marked antistaphylococcal activity. Promising but still underesti- mated group of potential antistaphylococcal chemotherapeutics constitute bee products: honey, pollen, royal jelly, fermented pollen and especially propolis. Another group of natural products that exhibit promising antibacterial activity is essential oils. Usefulness of bee products and essential oils in the treatment of infections caused by S. aureus has been confirmed by results of many investigations carried out by researches in different regions of the world. In this chapter, we have presented the review of publication in this area as well as perspectives and limitations of future applications of these two groups of natural products.
Instability of current sheets and formation of plasmoid chains

Current sheets formed in magnetic reconnection events are found to be unstable to high-wavenumber perturbations. The instability is very fast: its maximum growth rate scales as S1∕4vA∕LCS, where LCS is the length of the sheet, vA the Alfven speed, and S the Lundquist number. As a result, a chain of plasmoids (secondary islands) is formed, whose number scales as S3∕8.
Comprehensive Analysis of Knotted Proteins

The knots in proteins are interesting not only in their intriguing topology or their puzzling folding mechanisms, but also in their implicated importance to both substrate binding and enzyme activity. At present, there are only 4 types of knot identified in protein structures the 31 knot (or the trefoil knot), the 41 knot (or the figure-eight knot), the 52 knot and the 61 knot (or the Stevedore's knot) (Fig. 1). The folding mechanism of a knotted protein presents a very challenging problem for biologists, for it is hard to imagine a peptide chain will thread through loops several times to form a knot in a reproducible way(Taylor, 2000). Recent studies have shown that knotted proteins are able to fold efficiently and behaves remarkably similarly to unknotted proteins (Mallam & Jackson, 2005), and that some knotted proteins can exist in a knotted conformation even in their chemical unfolded states (Mallam, et al., 2010). Complementary to the experimental efforts, a number of computer simulations (Bolinger, et al., 2010; Sulkowska, et al., 2009) have been performed, trying to simulate the folding mechanisms of the knots. The protein knots have also been implicated in associating with protein function. For example, The knot regions in TrmD tRNA methyltransferase is shown to be important for substrate binding and catalytic activity (Elkins, et al., 2003); the trefoil knot region of N-acetylornithine transcarbamylase is part of the active site (Shi, et al., 2005); the figure-eight knot of ketol-acid reductoisomerase contributes to the substrate-binding site (Tyagi, et al., 2005); the knot region in bacterial phytochrome has been suggested to stabilize the chromophore-binding region (Wagner, et al., 2005).
Towards a Data Driven Competency Management Platform for Industry 4 . 0

Technological and social advancements have brought us to the brink of the 4 industrial revolution. With the rapid expanse of automation and intelligent machines, the workplace as we know it is changing. This could lead to greater inequality and massive recruitment challenges as societies are simultaneously facing an increase in unemployment as well as growth of talent shortage. The development of a unified competency management platform is proposed that serves as a communication layer between the stakeholders interested in retraining and upskilling of the workforce in light of these challenges. To provide the basis for companies to employ this platform and implement a competency framework, an instrument for the initial competency gap mapping was created and a case study is presented where the instrument was used to gain insight into stakeholder perceptions about and interactions around competency definition and management in the context of an ICT company.
Quantitative SPECT and planar 32P bremsstrahlung imaging for dosimetry purpose –An experimental phantom study

Background: In this study, QuanƟ taƟ ve 32 P bremsstrahlung planar and SPECT imaging and consequent dose assessment were carried out as a comprehensive phantom study to define an appropriate method for accurate Dosimetry in clinical pracƟ ce. Materials and Methods: CT, planar and SPECT bremsstrahlung images of Jaszczak phantom containing a known acƟ vity of 32 P were acquired. In addiƟ on, Phantom contour was determined for aƩ enuaƟ on correcƟ on and image registraƟ on. Reconstructed SPECT slices were corrected for aƩ enuaƟ on effect using two different methods: convenƟ onal Changs method and an expectaƟ on maximizaƟ on algorithm followed by CT and SPECT image registraƟ on. Cumulated acƟ vity was calculated by a predefined calibraƟ on factor. Both aƩ enuaƟ on correcƟ on algorithms were quanƟ taƟ vely assessed by the Monte Carlo SIMIND program. Acquired planar Bremsstrahlung images were quanƟfied by the Conjugate View Method, as well. Results: Calculated acƟ viƟ es were staƟ sƟ cally different among various quanƟficaƟ on methods (P= 0.0001). When iteraƟ ve expectaƟ on maximizaƟ on algorithm and applied methods were used, mean calculated acƟ vity had the least difference with real acƟ vity of ±3%. Conclusion: QuanƟ taƟ ve
Future of genomics in diagnosis of human arthritis: the hype, hope and metamorphosis for tomorrow

The post-genomic era, which is fueled by automation and other technologies, provokes a change in our grossly naive view of genetic determinism (that single genes govern complex traits) to the obvious reality that most human diseases are complex entities. Gene(s), although necessary, contribute only partially to disease, while environmental factors, lifestyles, epigenetics and epistasis significantly influence pathophysiology and, eventually, the expression of transient biomarkers that can be utilized for diagnosis and prognosis. Human osteoarthritis and rheumatoid arthritis are multifactorial, complex diseases. The genetic inheritance of these diseases remains elusive, although they tend to run in families wherein some siblings have a two- to tenfold increased risk of developing the diseases.
THE DIVERSITY–VALIDITY DILEMMA: STRATEGIES FOR REDUCING RACIOETHNIC AND SEX SUBGROUP DIFFERENCES AND ADVERSE IMPACT IN SELECTION

Pyburn, Ployhart, and Kravitz (this issue, 2008) introduced the diversity–validity dilemma: that some of the most valid predictors of job performance are also associated with large racioethnic and sex subgroup predictor score differences. This article examines 16 selection strategies hypothesized to minimize racioethnic and sex subgroup differences and adverse impact and, hence, balance diversity and validity. Rather than presenting a highly technical review, our purpose is to provide practitioners with a concise summary, paying particular attention to comparing and contrasting the effectiveness of the strategies and reporting new developments. The paper is organized around 4 key questions: (a) Which strategies are most effective for reducing subgroup differences? (b) Which strategies do not involve a validity tradeoff? (c) What are the major new developments in strategies for reducing adverse impact? (d) What are the major new developments in alternative predictor measurement methods (e.g., interviews, situational judgment tests, assessment centers) for reducing adverse impact? We then conclude with recommendations and caveats for how to best balance diversity and validity. These ideas are developed further in Kravitz (this issue, 2008), who considers even broader approaches for solving the diversity–validity dilemma.
Ensemble-based Document Summarization

We examine the problem of combining multiple summaries of a given document into a summary considering their individual strengths. Treating sentences in the document as candidates and summarization algorithm as voters, we formulate this problem as determining the winners in an election where each voter selects and ranks k candidates in order of its preference. We propose the use of well-known Condorcet methodology, including a new variation to improve its suitability. As voters, we include some summarization algorithms from literature and two new ones proposed here. The first is based on identifying keywords in the given document and then selecting sentences which are rich in keywords. The second is a variant of the lexical-chain based algorithm in (Stokes, 2004). We demonstrate the usefulness of the proposed ensemble methodology through experiments, using kappa statistic and a new positional measure of similarity between summaries.