Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation of Vitamin D level with severity of Coronary Artery Disease(CAD) in patients of Acute Coronary Syndrome(ACS) in a Tertiary Care Centre in Western India

Background : Vitamin D deficiency (VDD) is a widespread problem in developing countries. Recentstudies have shown association of Vitamin D deficiency with atherosclerosis and Coronary artery disease.This study was conducted to assess the relationship between Vitamin D and the severity of coronary arterydisease (CAD) in patients undergoing coronary angiography.Materials and methods: Consecutive patients who underwent coronary angiography for acute coronarysyndrome or effort angina were included in a descriptive cross-sectional study and their Vitamin D levelwas measured. CAD was defined as at least one vessel stenosis >50% on coronary angiography. Vitamin Dlevels were correlated to the CAG findings as to the severity and number of vessels involved and also to thetraditional CAD risk factorsResults: Vitamin D Deficiency was noted in 70.72% of the population in the study. Patients were classifiedas normal Vitamin D level(> 30ng/ml), Vitamin D insufficiency (20-30ng/ml) and Vitamin D Deficiency(<20ng/ml). Vitamin D levels had inversely correlated with significant coronary artery disease both fornumber of vessels involved and severity (p<0.001) and dyslipidemia(p=0.009). No significant associationwas found between VDD and other risk factors such as age, sex , hypertension, diabetes mellitus andsmoking.Conclusion : Vitamin D deficiency was noted in majority of the patients undergoing CAG and was foundto be significantly associated with the prevalence and severity of CAD. However studies involving largerpopulation are needed to evaluate whether supplementation with vitamin D may help in prevention ofatherosclerosis and further development of CAD.
Accelerated curing of G-FRP rods glued into timber by means of inductive heating – Influences of curing kinetics

ABSTRACT Glued-in Rods (GiR) are nowadays widely established as an adhesively bonded connection type in timber engineering. The assemblies consist of rods, e.g. threaded rods or rebars, made of steel, or Fibre-Reinforced Polymers (FRP), which are bonded into wooden construction elements. In contrast to mechanical fastening, adhesive bonding often results in a better load transfer between the adherends, and consequently a reduction of local stress peaks in comparison to mechanical fasteners. Bonding of GiR is typically performed with 2 K polyurethanes (2 K-PUR) or 2 K epoxies (2 K-EPX), for which full curing can last up to several days. Consequently, before the connection can be stressed, or moved for further processing, components have to be maintained in fixed position. This process can be very time, and cost, consuming for contractors. In order to create a speedier, thus more efficient, bonding process, the present study investigated accelerated curing of large-scale GiR specimens with the help of inductively heated Curie particles (CP). The CP are added to the adhesives, and exposed to a high frequency (HF) electromagnetic field (EMF). The EMF heats the mix up until the Curie temperature (T C) is reached, at which point the heating automatically stops. Due to the generated heat, polymerisation is significantly accelerated in a process independent of external monitoring techniques that prevents adhesive overheating. In order to design this practitioner-friendly and controllable manufacturing process, kinetic models were developed, allowing the prediction of the degree of cure, α, in dependency of CP content. The kinetic models were applied to experimentally determined temperature profiles during inductive heating of large-scale GiR specimens, considering three commercially available 2 K-EPX, and one 2 K-PUR, all of which are widely used. The kinetic modelling allowed for a much better interpretation of the heating behaviour, highlighting, in particular, the contribution of enthalpy for adhesive curing, and by extension of the whole induction process.
Promotion Mechanisms of Iron Oxide-Based High Temperature Water–Gas Shift Catalysts by Chromium and Copper

The Cr and Cu promotion mechanisms of high temperature water–gas shift (HT-WGS) iron oxide catalysts, synthesized by coprecipitation, were investigated as a function of reaction conditions. XRD and in situ Raman characterization showed that the initial calcined catalysts consisted of the Fe2O3 (hematite) bulk phase and transformed to the Fe3O4 (magnetite) phase during the HT-WGS reactions. In situ NAP-XPS and HS-LEIS surface analysis revealed that Cr was surface enriched as Cr6+ for the initial catalyst and reduced to Cr3+ during the HT-WGS reactions, with the Cr3+ dissolving into the bulk iron oxide lattice forming a solid solution. In situ NAP-XPS, XANES, and HS-LEIS characterization indicated that Cu was initially present as Cu2+ cations dissolved in the Fe2O3 bulk lattice and reduced to metallic Cu0 nanoparticles (∼3 nm) on the external surface of the iron oxide support during the HT-WGS reactions. In situ HS-LEIS surface analysis also suggests that ∼1/3 of the surface of the Cu nanoparticles was cove.
An Empirical Analysis of Macroeconomic and Bank-Specific Factors Affecting Bank Deposits in Vietnam

This paper investigates the macroeconomic and bank-specific factors that determine bank deposits in Vietnam. To explore the association, A Fixed and random effect model was performed on a data set of 40 banks from 2006 to 2019. Studied bank-specific factors include capital adequacy ratio, profitability, bad loan, liquidity and listing. In addition, GDP and inflation are the macroeconomic factors considered. Based on panel data analysis, it is suggested that bank-specific factors such as bank size, bad loan, profitability GDP and inflation have a notable effect on bank depositsAmong these factors, profitability and GDP showed a positive effect on bank depositsIn contrast, Bank size, bad loan and inflation showed an insignificant effect on bank deposits. The study also highlights some new factors to provide a better understanding of bank deposits in emerging economies like Vietnam.
Assessing labour mobility in marine fishing operations in Karnataka

Mobility of labour across the country continues as a major source of labour supply in ensuring economic development across all sectors including the primary sector. The migrant labour in search of better employment emancipates better living conditions through meaningful employment and better financial status. The coastal states of Maharashtra with commendable marine fish landings provides states with commendable marine fish landings provide ample opportunities for migrant fishing labour across the year. The migrant labors are involved in harvest and post harvest operations. The present study tries to assess the major factors leading to labour migration and its effect in the state of Karnataka state. About 100 respondents were met for a primary survey and result reveals that the migration leads to the increase in savings. Majority (57 percent) of the respondents were youth (Below 30). Most respondents completed high school levels of education. The respondents migrated from 5 different states with majority from Jharkhand (36%), Assam (23%) and Orissa (13%) to Mangalore district in Karnataka and the 54 percent respondents migrated in the year 2000. Garrett ranking method assessed the main reason and problems of migration and also used to find the effect of migration on socioeconomic status. The main reason for migration is the low income and the major difficulty during migration was the difficulty in language. The major achievement of the migrant labour had been the quality education provided to their children.
Does Democratic Innovation Reduce Bias? The G1000 as a New Form of Local Citizen Participation

ABSTRACT Since less well educated citizens are underrepresented in many forms of citizen participation, deliberative ‘mini-publics’ have been introduced as a democratic innovation to redress some of this inequality. Using data from eleven Dutch deliberative mini-publics (G1000s), this study shows that despite attempts to broaden the appeal of the mini-public, a clear educational bias in the output of the deliberations remains; the output largely reflects the wishes and preferences of the more highly educated. Themes like crime and safety, immigration and integration, which are important concerns for many citizens in their local communities, rarely made it onto the G1000 ‘Agenda for the City’. From a perspective of democratic legitimacy, this finding is worrisome. The paper concludes with some suggestions that combine the strength of a deliberative setting with equality and external democratic legitimacy to overcome this problem.
Micro-structure evolution-based force model and surface characteristic studies of Inconel 718 during micro-endmilling

Abstract An accurate prediction of cutting force is significant, as it plays a critical role on surface quality and tool wear. In micro-endmilling, the machined feature size and feed/tooth are comparable to the material grain size and the edge radius of the endmill. Hence, the effects of scaling issues, material micro-structure and cutting temperature on the machining performance need to be addressed. This article presents a force model for micro-endmilling by incorporating size effect, machining temperature, workpiece spring back effect and micro-structure evolution. The developed force model was validated with experimental results on Inconel 718 and the prediction error was found to be less than 10%. An experimental study to understand the influence of size effect on cutting force, micro-hardness and surface defect during micro-endmilling on Inconel 718 was carried out. Minimum uncut chip thickness was observed adjacent to 0.9 µm. For a feed/tooth less than 0.9 µm, both cutting force and micro-hardness of the endmilled surface shows a nonlinear trend. Higher value of cutting force at feed/tooth less than 0.9 µm was observed due to high strain hardening, and significant plowing effect on the micro-endmilled surfaces.
Fourier‐transform infrared spectroscopy of biofluids: A practical approach

Biofluid spectroscopy is an emerging technology in the field of clinical investigation, providing a simple way to extract diagnostic and observational information from easy to acquire samples. Infrared spectroscopy is well suited to analyse a large range of biofluid samples, including blood and its derivatives, due to flexible sampling modes and high sensitivity to subtle biological changes. As the technology advances towards the clinic, factors influencing successful clinical translation are becoming apparent. Here, we provide a tutorial for effective biofluid spectroscopy study design, discussing sample and instrument parameters, as well as clinical considerations. The aim is to present the current understanding of clinical translation in the field of biofluid spectroscopy, and to facilitate other clinical applications to advance to the clinic.
Human–Robot Cooperation Control Based on Trajectory Deformation Algorithm for a Lower Limb Rehabilitation Robot

Although many studies have certified the advantages of human–robot cooperation control with admittance model (AM), robot compliance, and movement smoothness need to be further improved. In this article, a trajectory deformation algorithm (TDA) is developed as a high-level trajectory planner, which can plan subject's desired trajectory based on interaction force during physical human–robot interaction (pHRI). A low-level proportional-derivative (PD) position controller is selected to ensure the lower limb rehabilitation robot can track the desired trajectory. Then, the validity of TDA is verified through simulation and experiment studies. The energy per unit distance (EPUD) and dimensionless squared jerk (DSJ) are chosen as indicators of robot compliance and movement smoothness, respectively. The experimental results demonstrated that both the EPUD and the DSJ values using TDA are smaller than that using the AM, indicating the TDA can improve robot compliance and movement smoothness. Therefore, it may have great potential in fields involving pHRI, such as robot-aided rehabilitation.
Boron nitride based polyaniline nanocomposite: Preparation, property, and application

In this study, we report first time the electrical properties and photocatalytic activity of HCl doped polyaniline (Pani) and Pani/boron nitride (Pani/BN) nanocomposite prepared by in situ polymerization of aniline using potassium persulfate (K2S2O8) in the presence of hexagonal boron nitride (h-BN). The prepared Pani and Pani/BN nanocomposite were characterized by Fourier transform infrared, X-ray diffraction, Thermogravimetric analysis, Scanning electron microscope, and Transmission electron microscope. The stability of the Pani/BN nanocomposite in comparison of Pani in terms of the DC electrical conductivity retention was investigated under isothermal and cyclic aging conditions. The Pani/BN nanocomposite in terms of DC electrical conductivity was observed to be comparatively more thermally stable than Pani. The degradation of Methylene blue (MB) and Rhodamine B (RhB) under UV-light irradiation were 50 and 56.4%, respectively, over Pani and 65.7 and 71.6%, respectively, over Pani/BN. The results indicated that the extent of degradation of MB and RhB was greater over nanocomposite material than Pani, which may result due to high electron–hole pairs charge separation under UV light. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 43989.
DEVELOPING A MODEL OF BACKPACKERS’ EXPLORATORY CURIOSITY

Purpose – While curiosity is a critical factor in motivating human exploratory behaviors across domains, past studies are yet to explore the exploratory curiosity construct in the context of backpacking. This study aims to conceptualize backpackers’ exploratory curiosity and, importantly, developing a scale for the construct. Design/Methodology – A survey questionnaire is first designed on the basis of a literature review and in-depth interviews. Then, two surveys are conducted using sample sizes of 228 and 276. The scale, along with its four factors (i.e., excitement, new destinations, social contact, and new tourism events) and 18 items, was determined as reliable and valid by the implementation of a rigorous instrument development process. Approach – This study identifies the characteristics of backpacker exploratory curiosity, and then generates fundamental constructs with detailed descriptions and explanations for a questionnaire. Subsequently, to understand the characteristics of such curiosity and how they can be applied to explain backpacker behaviors. Findings – This study extended the application of the curiosity concept to the tourism industry, and offered a new perspective, namely, exploratory behaviour individuals display in response to novelty, excitement, and changes in their environment can be used as variables to measure their curiosity level, and then the BECS can be utilized by tourism management organizations to help increase the number of potential clients. Originality of the research – The study contributed to a theoretical enhancement of the current level of knowledge on the existing literature on backpackers’ exploratory behavior and developed a reliable and valid scale for measuring backpacker exploratory curiosity.
Factors Associated with Unsuccessful Treatment of Tuberculosis in Arsi-Robe Hospital, Arsi Zone, Ethiopia: A Retrospective Study

Background: Tuberculosis remains a major global health problem and ranks along with the human immunodeficiency virus (HIV) as a leading cause of mortality worldwide. The aim of this study was to investigate the treatment outcome of tuberculosis, and factors associated with treatment outcome of tuberculosis in TB patients enrolled in Arsi-Robe Hospital, Oromia regional state, South eastern Ethiopia between January 2013 to December 2017. Methods: An Institutional-based retrospective study was conducted in Arsi-Robe Hospital from 2013 to 2017 in study patients who had all forms of TB in DOTS clinic. The predictors of treatment outcomes were analyzed through bivariate and multivariable logistic regression analysis and a P-value < 0.05 were considered statistically significant. Results: Out of the 257 registered TB patients, most of them were males (57.9%), from rural areas (62.6%) and in age of 15-24 category (39.3%). PTB-, PTB+ and EPTB were recorded in 48.2%, 32% and 19.8% of the patients, respectively. Among all cases, 8.6% had TB-HIV co-infection. Among all TB cases, 84.0% had successful treatment outcome. TB patients from urban areas (AOR: 3.34, 95% CI: 1.33­8.38, P = 0.01), with failure treatment (AOR: 6.66, 95% CI = 1.12- 39.57; P = 0.037) and HIV positive (AOR: 4.92, 95% CI = 1.38-17.51; P = 0.014) had higher odd of unsuccessful treatment outcome of tuberculosis. However, TB patients with PTB+ (AOR: 0.1470, 95% CI = 0.031-0.687; P = 0.015) and EPTB (AOR: 0.194, 95% CI = 0.054-0.688; P = 0.011) had significantly lesser odd of unsuccessful treatment outcome. Conclusions: Being urban resident, treatment failure and HIV positive considerably challenge the treatment outcome of tuberculosis, but being PTB+ and EPTB were associated with higher treatment success rate of TB. Continuous follow-up of patients with unsuccessful treatment outcome of tuberculosis with strengthened implementation of the DOTs strategies are suggested. Trial Registered: retrospectively registered
Experimental Study of the Influence of the Adsorbate Layer Composition on the Wetting of Different Substrates with Water

Wetting is strongly influenced by adsorbate layers, which are omnipresent on surfaces. The influence of the composition and thickness of adsorbate layers on the water contact angle of sessile drops on different substrates was systematically investigated in the present work. Measurements were carried out for gold-sputtered substrates. These new results are compared to results from a previous study, in which corresponding measurements were carried out for technical steel and titanium substrates. In all experiments, different pretreatments of the samples were used to obtain variations of the adsorbate layer. The samples were either exposed to an oil bath or not, and different cleaning agents were used. The analysis of the adsorbate layer was carried out with X-ray photoelectron spectroscopy (XPS). The results for the different substrates reveal that the water contact angle depends mainly on the composition of the adsorbate layer. The substrate has only an indirect influence, as it influences the composition of the adsorbate layer. The thickness of the adsorbate layers was between 1.4 and 14 nm and was large enough to prevent a direct influence of the substrate on the water contact angle. It is shown that using the information on the adsorbate layer composition from XPS and the results for the water contact angle obtained for the gold samples alone, the water contact angles on the steel and titanium samples can be predicted.
Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach

Accurate modeling of bicycles in microsimulation tools is challenging due to the limited availability of detailed data, complexity of cyclist decision-making, and heterogeneity in cycling behavior. This paper proposes an agent-based bicycle simulation method in which generative adversarial imitation learning (GAIL) is used to infer the uncertain intentions and heterogeneous preferences of cyclists from observational data. The model is tested on video-derived data of cyclists on a unidirectional path in Vancouver, Canada. In cross-validation, multivariate distributions of movement variables such as speed, direction, and spacing are similar between observed and simulated cyclist trajectories. The model also performs well in comparison to two other cyclist simulation models from the literature. The proposed approach to agent-based microsimulation is a significant advancement, with continuous, non-linear, and stochastic representation of cyclist states, decisions, and actions. The enhanced consideration of cyclist diversity is necessary for developing bicycle networks for all ages and abilities of riders.
The Trend of Leading Causes of Death Among Young People in Iran Within the Last Three Decades: A Retrospective Cohort Study

Background: Youth is undeniably the most important force and resource of any country, thus, identifying the leading causes of death among them to develop preventable interventions is essential. This study aimed to determine the trend of mortality rate and the leading cause of death, based on the ICD-10, among young people in Iran.Methods: The present study is a retrospective cohort and examines the trend of Iranian youth mortality, aged 15-24 years, between 1990 and 2017. The data source was the Global Burden of Disease (GBD) website. Linear Regression analysis was used to measure the slope of changes in mortality rates and causes of mortality during the period, where "time" was the independent variable and "mortality rate" and "causes of mortality" were dependent variables.Results: the death rate of young people declined by 54% during the period, equal to an average of 1.37 units per year. The most common cause of death has been injuries (70%), and then NCDs (25%) and finally communicable diseases (5%). However, death due to injuries (except SUD) and communicable diseases (except HIV) declined significantly by 0.94 and 0.09 units per year, respectively (P<0.001), while, death due to the NCDs had an increasing trend by 0.12 units per year over 28 years (P=0.006). Conclusion: Examining past trends in death rates and causes strengthens insights into the state and future trends in health and death-related indicators, which are crucial for policy-making, especially in developing countries with limited resources.
Stabilization by intermittent control for hybrid stochastic differential delay equations

This paper is concerned with stablization of hybrid differential equations by intermittent control based on delay observations. By M-matrix theory and intermittent control strategy, we establish a sufficient stability criterion on intermittent hybrid stochastic differential equations. Meantime, we show that hybrid differential equations can be stabilized by intermittent control based on delay observations if the delay time \begin{document}$ \tau $\end{document} is bounded by \begin{document}$ \tau^* $\end{document} . Finally, an example is presented to illustrate our theory.
Static anti-windup compensator based on BMI optimisation for discrete-time systems with cut-off constraints

In the paper, a design method of a static anti-windup compensator for systems with input saturations is proposed. First, an anti-windup controller is presented for system with cut-off saturations, and, secondly, the design problem of the compensator is presented to be a non-convex optimization problem easily solved using bilinear matrix inequalities formulation. This approach guarantees stability of the closed-loop system against saturation nonlinearities and optimizes the robust control performance while the saturation is active.