Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Bleeding Rates between Oral Anticoagulants in Combination with Dual Antiplatelet Therapy (Triple Therapy) in a Real-World Cohort

Background: Triple antithrombotic therapy including an anticoagulant, P2Y12 inhibitor, and aspirin increases bleed risk up to 27%. The components of this regimen can vary, which may impact bleed risk. Objective: To compare the safety of various triple antithrombotic regimens. Methods: An Institutional Review Board approved retrospective cohort study was conducted from 2014 to 2017. Patients admitted to a large urban health system on triple therapy were evaluated for inclusion. The primary outcome compared rates of International Society of Thrombosis and Hemostasis major and clinically relevant nonmajor bleeding during index admission or within 90 days in patients receiving warfarin, rivaroxaban, or apixaban; aspirin; and a P2Y12 inhibitor. A multivariable logistic regression assessed the association between bleeding, antithrombotic use, and relevant confounding variables. Results: Three hundred and seventy-two patients were included: 238 patients received warfarin, 63 received rivaroxaban, and 71 received apixaban. Forty-five patients (12.1%) experienced a bleed, 25 of which (55.6%) were major. The rate of bleeding was 12.2% (n = 29) with warfarin, 14.3% (n = 9) with rivaroxaban, and 9.9% (n = 7) with apixaban (P = .7335). The use of prasugrel versus clopidogrel (OR 4.35, 95% CI 1.20-15.72; P = .025) and admission hemoglobin less than 12 mg/dL (OR 2.54, 95% CI 1.28-5.04; P = .008) were identified as risk factors associated with bleeding in the model. Conclusion: In patients on triple antithrombotic therapy, choice of oral anticoagulant did not impact bleeding rates, but use of prasugrel and a low baseline hemoglobin were associated with increased bleed rates which warrants further investigation.
Students’ Perception of the Effectiveness of Technology Assisted Online Education During COVID-19 Pandemic: An Empirical Study

Purpose: The whole calendar year 2020, as well as early indications, suggest, the year 2021, would be challenging for the global community. The COVID-19 pandemics spread through the world, affecting all facets of human endeavor, from industrial development to academic calendar re-adjustments at all educational institutions around the world. Stakeholders and administrators of academic institutions have no choice but to use internet technology, and therefore online learning, to continue academic activities in all institutions around the world. This paper aims to determine if students in higher educational institutions are happy with technology-assisted Online Education during COVID-19 Pandemic. The study used an online survey to find out how students are coping with online education, which has been around for years but is still not widely used, and how happy they are with it. Methodology: Convenience sampling was employed to collect data for the analysis because it is a non-probability sampling methodology. The aim of using this method is to come up with hypotheses and conduct exploratory research on the topic. It also addresses budget and time constraints. As participants in this research, students from higher education institutions responded to the survey. Higher education students are preferred because they have already been exposed to technology, online platforms, and the ability to adapt, which is the essence of remote learning. Findings/Result: The study's findings show that adding online education was a good decision since the majority of students surveyed supported it in this epidemic since it allowed them to complete their studies. In terms of satisfaction with online education, the study discovered that there is a gender divide. Students are self-sufficient in terms of the devices they use to take online classes, with a large percentage of students attending online classes using their smartphones. Synchronous delivery options, such as live classes, are not preferred by online educators. Female students spend more time on online education activities than male students. Finally, the study discovered that the most significant barrier to students participating in online education is a lack of internet connectivity in both rural and suburban settings. Originality: This study examines how satisfied students are with technology-assisted online education at higher education institutions. The results of this study would be very useful to the administrators of higher education institutions in making potential emergency decisions about the planning of online learning services for students from various backgrounds. Paper Type: Exploratory data analysis (EDA). This type is used to comprehend and summarize the contents of a dataset, usually to answer a particular query or to prepare for more sophisticated statistical modeling in subsequent stages of data analysis.
Two-Way CO2-Switchable Triblock Copolymer Hydrogels

CO2-responsive ABA triblock copolymer hydrogels are described. Through rational block copolymer design, these hydrogels could undergo either CO2-induced gel-to-sol or the reverse sol-to-gel transition. While the middle block B is water-soluble, the solubility of the two end blocks A can be switched by CO2. For the gel-to-sol transition, the A block was made to have a lower critical solution temperature (LCST) that can increase upon CO2 bubbling, while for the sol-to-gel transition, the A block was designed to have a LCST that decreases with CO2. Repeated cycles of hydrogel formation and dissociation could be achieved by simply passing CO2 and an inert gas alternately through the solution, at a constant temperature and without adding acids and bases for pH change. Moreover, CO2-induced release of an encapsulated protein was demonstrated.
In silico molecular dynamics of human glycophorin A (GPA) extracellular structure

Background: Glycophorin A (GPA) is one of two glycoproteins found on the surface of human red blood cells (RBCs) that constitute the MNS blood group system. The structure of GPA’s extracellular domain is unknown despite previous attempts using X-ray crystallography and NMR spectroscopy. As a result, there is a knowledge gap regarding antigen presentation. This hinders the production of monoclonal antibodies (mAbs) against MNS antigens. Methods: In silico modelling techniques including homology modelling and ab initio predictions were implemented to develop a proposed structure for the monomeric form of the GPA extracellular domain. Developed structures were then subjected to molecular dynamics (MD) simulations. Results: The results obtained indicated that the monomeric extracellular domain of GPA is most likely intrinsically disordered, with the exception of a β -hairpin-like structure spanning the exon 3–4 junction. Further analysis showed this β -hairpin-like structure was not observed when starting from an extended or cyclical peptide structure within the time-scale used in the MD simulation study, suggesting that linear or cyclical peptide fragments of this region are unsuitable representations for the purposes of antigen presentation. Lastly, of the MNS antigens produced by single amino acid variations found in the exon 3–4 junction, only the ERIK antigen (p.Gly78Arg; MNS37) was found to alter the β -hairpin-like structure. Conclusions: The monomer of the extracellular domain of GPA has a high level of disorder, with the exception of the antigenic exon 3–4 junction, which adopts a β -hairpin-like structure. Our work suggests that linear peptides and expression of the monomeric form of GPA might be of limited use for immunisation or screening processes used in antibody identification. Further understanding of the antigenic determinants of GPA will require a more sophisticated combination of laboratory and computational approaches, as well as consideration of possible structural changes as a result of dimerisation.
Mechanical Properties of Warm Mix Asphalt–Stone Matrix Asphalt Modified with Nano Zeolite Material

The purpose of this article is to present an experimental study to characterize the mechanical performance of modified warm mix asphalt mixtures with synthetic zeolite in nano and granule form. The effects of 0.1, 0.2, and 0.3 % of zeolite in nanocrystal powder and granule form have been evaluated by conducting indirect tensile strength (ITS) for conditioned and unconditioned specimens and wheel track tests. The tensile strength (TS), compressive stress at failure (CSF), equivalent modulus, toughness index, and moisture susceptibility (tensile strength ratio [TSR]) parameters have been calculated by ITS test. Also, rutting depth has been calculated by the wheel track test. According to the results, using zeolite material in nanocrystal powder and granule form has a similar effect on decreasing the TSR content and increasing the moisture susceptibility. Moreover, zeolite decreased the rutting depth, and because of the results, it should be noted that nanocrystal powder material reduced the rutting depth by about 40 % more than granule form. Furthermore, zeolite caused an increase in all the parameters obtained from the ITS test about 21–70 %. Overall, the results show that zeolite had a good effect on the physical properties of the mixture; however, zeolite in granule form caused a reduction in TS (dry condition) and CSF (wet condition).
Analysis of WEKA data mining algorithms Bayes net, random forest, MLP and SMO for heart disease prediction system: A case study in Iraq

Data mining is defined as a search through large amounts of data for valuable information. The association rules, grouping, clustering, prediction, sequence modeling is some essential and most general strategies for data extraction. The processing of data plays a major role in the healthcare industry's disease detection. A variety of disease evaluations should be required to diagnose the patient. However, using data mining strategies, the number of examinations should be decreased. This decreased examination plays a crucial role in terms of time and results. Heart disease is a death-provoking disorder. In this recent instance, health issues are immense because of the availability of health issues and the grouping of various situations. Today, secret information is important in the healthcare industry to make decisions. For the prediction of cardiovascular problems, (Weka 3.8.3) tools for this analysis are used for the prediction of data extraction algorithms like sequential minimal optimization (SMO), multilayer perceptron (MLP), random forest and Bayes net. The data collected combine the prediction accuracy results, the receiver operating characteristic (ROC) curve, and the PRC value. The performance of Bayes net (94.5%) and random forest (94%) technologies indicates optimum performance rather than the sequential minimal optimization (SMO) and multilayer perceptron (MLP) methods.
Inhomogeneous distribution of lithic clasts within the Daskop granophyre dike, Vredefort impact structure: Implications for emplacement of impact melt in large impact structures

The Vredefort granophyre dikes have long been recognized as being derived from the now-eroded Vredefort melt sheet. One dike, in particular, the Daskop granophyre dike, is notable for a high abundance of lithic clasts derived from various stratigraphic levels. In this study, we mapped the distribution of the clasts throughout the continuously exposed section of the dike using field mapping and aerial drone photography and attempted to constrain the emplacement mechanisms of the dike. We found that the clasts are not homogeneously spread but instead are distributed between clast-rich zones, which have up to 50% by area clasts, and clast-poor zones, which have 0–10% by area clasts. We examined three models to explain this distribution: gravitational settling of clasts, thermally driven local assimilation of clasts, and mechanical sorting of clasts due to turbulent flow. Of the three models, the gravitational settling cannot be supported based on our field and geophysical data. The assimilation of clasts and turbulent flow of clasts, however, can both potentially result in inhomogeneous clast distribution. Zones of fully assimilated clasts and nonassimilated clasts can occur from spatial temperature differences of 100 °C. Mechanical sorting driven by a turbulent flow can also generate zones of inhomogeneous clast distribution. Both local assimilation and mechanical sorting due to turbulent flow likely contributed to the observed distribution of clasts.
Catalytic depolymerisation of starch-based industrial waste : use of non-conventional activation methods and novel reaction media

The rapid increase of energy demand for transportation generates a rise of environmental pollution, stimulating the development of alternative sources of energy. Biomass is considered as the main organic carbon source of energy to substitute petroleum permitting sustainable production of chemicals and transportation fuels. Biowastes, residues and non-edible feedstock possess high potential resources avoiding food competition. This research aims to convert starch-based industrial waste, potato peels, into reducing sugars and platform molecules, such as glucose. These high added-value chemicals can further be transformed into chemicals and fuels. Catalytic conversion of starch, the main constituent of potato peels, was activated with non-conventional technologies to enhance the depolymerisation rate and to reduce energy consumption according to the principles of green chemistry. Depolymerisation of starch was first performed in acidic water as reaction medium assisted with ultrasonic and/or microwave irradiation. Ultrasonic irradiation enhanced mass transfer of heterogeneous system, whereas the use of microwaves improved heat transfer in the reaction medium. The frequency applied leads to different effects on heterogeneous systems: low frequencies irradiation (below 100 kHz) generates turbulences resulting in enhanced transport properties, whereas higher frequencies produce chemical effects. Catalytic conversion of starch into reducing sugars required more energy than individual irradiation could provide. Simultaneous irradiation, combining ultrasound and microwave or several ultrasonic frequencies, on potato peels led to 50% yield of sugars without former separation processes, at moderate temperature. A weak synergetic effect was only observed with potato peels. The second part of this research is dedicated to study the effect of catalytic reaction medium (acids, ionic liquids). More appropriate systems possess the ability to dissolve and hydrolyse carbohydrates: specific ionic liquids. A room-temperature ionic liquid and a task-specific ionic liquid were selected for their solvability properties to dissolve and depolymerise starch present in potato peels. The depolymerisation of starch in the task-specific ionic liquid generated a yield of 43% of sugars, without former separation process.
Advantages of Continuous Monitoring of Hourly PM2.5 Component Concentrations in Japan for Model Validation and Source Sensitivity Analyses

Continuous monitoring of hourly PM2.5 component concentrations has been performed in Japan. The objective of this study was to evaluate the advantages of continuous monitoring to obtain data that can be useful for regional air quality simulations. Inclusion of transboundary transport in the simulations improved the correlation between the observed and simulated hourly concentrations of SO42−, SO3−, secondary organic aerosols (SOA), and metals in PM2.5. Black carbon was an exception, suggesting the overestimation of emissions in upwind countries. Including volcanic and dust emissions also improved the correlations between the observed and simulated hourly concentrations of SO42− and metals, respectively. However, despite the good correlation achieved by including transboundary transport, it also resulted in overestimated NO32− and SOA concentrations in western Japan during the winter. Further improvements are necessary, such as balancing with SO42− and the dry deposition of gaseous HNO3 for NO3−, and new treatment of the partitioning and aging of semivolatile organic aerosols, which have been incorporated into recent models for SOA. The differences in model performance with regard to simulating metal concentrations suggest imbalances in the speciation profiles used for countries other than Japan. Further, comparing the observed and simulated hourly concentrations helped identify the key processes driving air quality. This revealed evening peaks in black carbon concentrations, owing to the relatively stable atmosphere; and early morning peaks in NO3− concentration, owing to the low temperature and high humidity through thermodynamic equilibrium. This study demonstrated that continuous monitoring of hourly variations in PM2.5 composition is valuable for understanding the roles of the emission sources and for improving future models, both of which contribute to deriving effective PM2.5 suppression strategies.
A systematic mapping of BIM and digital technologies for architectural heritage

Purpose – Across the architecture, engineering and construction industry, the application of building information modelling (BIM) as a digital technology for architectural heritage is becoming increasingly relevant. However, scholarly research on the application of BIM for architectural heritage is still in its infancy stage and the research gaps and future directions of this research area are still unclear. This paper therefore aims to fill this gap by using a systematic and robust review using a mixed-method approach to show the gaps of research for BIM and architectural heritage and point to new directions for future works. Design/methodology/approach – The study includes a quantitative scientometric analysis and mapping and a qualitative study. A total of 354 articles related to BIM and architectural heritage were analysed using a combination of quantitative and qualitative tools. The qualitative study consists of a systematic literature review supported by data collected from stakeholder and training workshops on digital technologies and BIM for heritage. Findings – Findings from this study reveal the gaps in the field of heritage and BIM research according to retrieved articles from different countries and journals. Furthermore, emerging domains for future research were identified and these included: as-built modelling and 3D reconstruction; conservation, preservation and management; documentation; maintenance and restoration; virtual technology and simulation. Originality/value – The common research challenges were identified as an integrated outcome of the findings revealed from the scientometric mapping and qualitative review and resulted in key BIM and heritage research priority recommendations relevant to researchers within this field.
Capabilities for value co-creation and value capture in emergent platform ecosystems: A longitudinal case study of SAP’s cloud platform

Companies across industries are shifting toward a platform ecosystem strategy. By leveraging cloud computing technologies, companies aim to benefit from collaboration with a wide range of third-party developers within emergent platform ecosystems. To succeed, these companies need to develop new organizational capabilities to co-create and capture value in platform ecosystems. To understand what capabilities are crucial to establish platform ecosystems and how they contribute to value co-creation and value capture, we conducted a multi-year, in-depth case study of SAP’s cloud platform project. We identified (1) technology-related capabilities (cloud-based platformization, open IT landscape management) and (2) relationship-driven capabilities (ecosystem orchestration, platform evangelism, platform co-selling) and illustrate how these capabilities help the platform owner to enable and balance value co-creation and value capture in an emergent platform ecosystem. With our findings, we contribute to the discussion on how companies can overcome the challenging emergent phase of platform ecosystems. We thereby bridge literature on value creation in platform ecosystems and on organizational capabilities. Though we conducted our study in the context of the enterprise software industry, we discuss how our findings apply to prospective platform owners from different contexts.
ISOLATION AND STRUCTURES OF HEDYOTISOL-A, -B, AND -C NOVEL DILIGNANS FROM HEDYOTIS LAWSONIAE

Three new dilignans, hedyotisol-A (1a), -B (2a), and -C (3a), were isolated from the leaves of Hedyotis lawsoniae and their structures were examined. These compounds are constructed from a syringaresinol unit and two phenylpropane units, and they are stereoisomeric with each other.
Dis-Aggregated Effect of Market Orientation on Firms' Performance: A Study on Indian Small and Medium-Scale (SMEs) Manufacturers

Due to ambiguity in the market orientation and performance relationship, the basic aim of the study to investigate the nature of relationship exists between market orientation and performance of the manufacturing SMEs in India. Data for this study were collected from the 388 managers/owners of SMEs indulged in the manufacturing sector through well-established scales. The utilized scale's reliability and validity were assessed through CFA, and various hypotheses related to the environmental moderators and innovation mediation were tested. This study is relevant for owners/managers and policymakers responsible for improving the performance of small and medium enterprises, working in the manufacturing sector. The study necessitates the significance of catering express needs of customers to boost up the effect of market orientation on performance. The study tested the relationship between the market orientation and performance relationship at the disaggregated level. The important insight about the direct, indirect, and the moderated relationship was reported in the study.
Good credit, bad credit: The differential role of the sources of debt in life satisfaction

This study evaluated the short-term links between different forms of household debt — credit card debt, student debt, debt from relatives, mortgage debt, car debt, and debt arrears — and life satisfaction. To this end, a longitudinal dataset for the US population from the Panel Study of Income Dynamics (PSID) was used and the propensity score difference-in-differences approach was applied. Credit card debt and student loans negatively impacted life satisfaction in the short term (up to 2 years). Mortgages and external financing for a car, however, were found to increase life satisfaction. The effects associated with the initial uptake and final repayment of a loan turned out to not be symmetrical — the end of any type of loan contract was not related to life satisfaction. In the case of involuntary debt (i.e., mortgage arrears), a significant negative impact on life satisfaction was noted when problems emerged, while a positive effect was found when the debts were paid off.