Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Anthropometric Measurements on the Incidence of Atrial Fibrillation in Patients With Acute Myocardial Infarction

Background and objective Atrial fibrillation (AFib) is the most common supraventricular arrhythmia occurring after myocardial infarction (MI). Height, body weight, waist and hip circumference, and body mass index (BMI) are considered potential risk factors for the development of AFib. The aim of this study was to investigate the effect of BMI and waist circumference on the incidence of AFib in patients with acute MI. Methods This prospective, cross-sectional, observational study was conducted in the coronary intensive care unit (CICU) of a tertiary care university hospital between July 2014 and February 2016. Patients diagnosed with ST-elevation myocardial infarction (STEMI) or non-ST-elevation myocardial infarction (NSTEMI) were included. Demographic, clinical, echocardiographic, and laboratory data, past medical history, and anthropometric measurements were recorded. Continuous electrocardiography (ECG) monitoring was performed for following up on the occurrence of AFib. Then, AFib predictors were identified using multiple regression analysis. Results AFib developed in 31 (9.3%) patients in the cohort. No significant difference was observed between patients with or without AFib in terms of BMI and waist circumference values (p=0.686 vs. p=0.728, respectively). Factors associated with AFib development as per the multivariate analyses included age (OR: 1.051, 95% CI: 1.013-1.09; p=0.008), pulse rate (OR: 1.043, 95% CI: 1.018-1.069; p=0.001), peak troponin T value (OR: 1.356, 95% CI: 1.135-1.619; p=0.001), and length of CICU stay (OR: 2.247, 95% CI: 1.163-4.340; p=0.016). Conclusion BMI and waist circumference measurements were similar in patients with and without AFib during acute MI. Age, pulse rate, peak troponin T, and duration of CICU stay were identified as independent predictors of AFib development.
The Perils of Polysemy: Racial Realism in the Real World

This paper critiques the biological race realism of Quayshawn Spencer. Spencer's recent embrace of “radical race pluralism” (RRP) is welcome but incomplete, because it needs methods that distinguish different communicative contexts for how American English speakers use “race” and related terms. I offer a pragmatic approach to identifying such contexts that combines pragmatic argumentation theory, rhetorical polysemy, and a pragmatic approach to definition. One consequence of embracing RRP is that Spencer's theory of “OMB race talk” is unsupportable because it collapses three distinct communicative contexts: genomic research, legal and regulatory governance, and ordinary talk. By so doing, OMB race talk blocks attempts to fight racism and violates ethical standards that should allow people the agency to define their own identities.
Embedded Volttron specification - benchmarking small footprint compute device for Volttron

An embedded system is a small footprint computing unit that typically serves a specific purpose closely associated with measurements and control of hardware devices. These computing units are designed for reasonable durability and operations in a wide range of operating conditions. Some embedded systems support real-time operations and can demonstrate high levels of reliability. Many have failsafe mechanisms built to handle graceful shutdown of the device in exception conditions. The available memory, processing power, and network connectivity of these devices are limited due to the nature of their specific-purpose design and intended application. Industry practice is to carefully design the software for the available hardware capability to suit desired deployment needs. Volttron is an open source agent development and deployment platform designed to enable researchers to interact with devices and appliances without having to write drivers themselves. Hosting Volttron on small footprint embeddable devices enables its demonstration for embedded use. This report details the steps required and the experience in setting up and running Volttron applications on three small low cost computing units: the Intel Next Unit of Computing (NUC), the Raspberry Pi 2, and the BeagleBone Black. In addition, the report also details preliminary investigation of the execution performance of Volttron on these devices.
Overcoming Buyer-Seller Tensions in the Pre-Acquisition Process

Larger firms are increasingly acquiring innovative new ventures at an early stage. Despite significant integration challenges with these acquisitions, the elongated pre-acquisition process of aligning buyers’ and sellers’ different objectives is rarely studied. By studying nine academic spin-off acquisitions, we develop a three-phase model outlining the temporal dynamics of the pre-acquisition process. In each phase—namely, strategic fit, synergy confidence, and deal structure—a specific buyer-seller tension emerges. By showing how each of these tensions needs to be overcome prior to an acquisition event, our dialectical model complements the dominant focus on post-integration activities in the acquisition literature.
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification

Deep learning is a compelling technique for feature extraction due to its adaptive capacity of processing and providing deeper image information. However, for the task of leaf cultivar classification, the deep learning-based classifier model is unable to extract contour features of leaf images deeply due to the lack of large specialized datasets and expert knowledge annotations. Also, the scale/size of the current leaf cultivar dataset does not meet the needs of deep neural networks (DNNs). In particular, the high model complexity of DNNs implies that deep-learning-based neural networks seem to must require a large dataset to achieve good performance, but facing the fact that the leaf cultivar dataset often is small, even some classes in this kind of datasets contain less than ten images/examples. To overcome these problems and inspired by the resounding success of fuzzy logic, we propose a novel fuzzy ensemble model for leaf cultivar classification. To extract the contours of leaves, we first propose generative adversarial networks-based methods. Second, to improve the ability of feature representation, we present a data augmentation method to transform our contour features. Third, to get the essential features of leaves, we design a novel generation of the fuzzy random forest. Finally, to achieve accurate classification, we design a novel deep learning strategy, namely deep fuzzy representation learning, integrating and cascading a lot of our fuzzy random forests. Experimental results show that our model outperforms other existing state-of-the-arts on three real-world datasets, and performs much better than the original deep forest and DNN-based algorithms particularly.
Vietnamese EFL Teachers’ Perceptions and Practices of Reflective Teaching as a Tool for Professional Development

Growing professionally is considered a crucial goal that language teachers may wish to achieve in their teaching careers. Although tools for professional development can be varied in different contexts, reflective teaching as an essential and ongoing job is likely to be among the most common ones. The contributions of reflection on pursuing teacher professional development have been proved in numerous studies. However, research on the views and implementation of such a tool by EFL teachers in the Vietnamese context is insufficient. To narrow this gap, this descriptive study was conducted to investigate Vietnamese EFL teachers’ perceptions and practices of reflective teaching as a tool for teacher professional development. A mixed-methods design was employed to collect both quantitative and qualitative data for the study. Specifically, quantitative data were obtained through a questionnaire, and qualitative data were attained using a semi-structured interview. As regards participants, twenty-five university EFL teachers in the Mekong Delta of Vietnam participated in this study. The results indicated that the participants held positive perceptions towards reflective teaching and perceived it to be “very significant” to teacher professional development. Nevertheless, it was found that their overall level of reflective practices was identified as “average”. By comparison, a statistically significant difference between the participants’ perceptions and practices of reflective teaching was observed. The results also showed that the participants’ strategies of reflecting on their teaching practices were not diverse, with sharing classroom experiences with colleagues and conducting peer observation being the popularly used ones.
FOURIER TRANSFORM INFRARED SPECTROSCOPIC ANALYSIS OF A PLANT (CALOTROPIS GIGANTEA Linn) FROM AN INDUSTRIAL VILLAGE, CUDDALORE Dt, TAMILNADU, INDIA

FT-IR spectroscopy is used to reveal some qualitative aspects regarding the organic compounds in a plant Calotropis gigantea Linn collected from an industrial area. Several indicator bands that are pertained to functional groups represent chemical components or metabolic products. The application of infrared (IR) spectroscopy in plant analysis is still limited compared to its applications in other areas. In this article FT-IR spectrum is able to predict the main chemical constituents in plant materials and also to compare the quantitative differences among the similar samples.
Effects of Some Natural Extracts and Their Application Methods on The Growth of Pentas lanceolata L. plants.

: This study was carried out during the two successive seasons of 2014 and 2015 at Antoniades Research Branch, Horticulture Research Institute, A.R. C. Alexandria, Egypt . The experiment was carried out to investigate the effects of yeast, garlic , onion, ginger and liquorice root extracts and their application methods on the growth and flowering of Pentas lanceolata L. plants.The results showed that the used extracts caused a positive effect on the growth and flowering of Pentas plants. Five grams per liter of yeast extract caused a significant increase in most of the studied characteristics (vegetative ,flowering and chemical composition) while liquorice root extract led to the highest increase in volume and dry weight of roots. Leaves area, leaves dry weight, stem dry weight and inflorescences. Dry weight per plant were significantly increased by the addition of yeast extract to the soil by drench .
Impact of Deacetylation Degree on Properties of Chitosan for Formation of Electrosprayed Nanoparticles

Biopolymer of natural origin as chitosan has been studied and applied widely in practice. In the pharmaceutical field, especially, chitosan nanoparticles have been researched for a variety of drug delivery systems. There are many factors influencing the success of the chitosan nanoparticle delivery system. Therein, the specific parameters to the physicochemical nature of chitosan greatly determine the efficiency of its drugs carrier. The degree of deacetylation (DD) of chitosan is one of those parameters. In this study, the influence of DD on chitosan properties was clarified to facilitate the preparation of nanoparticles by the electrospraying method. DD can affect the solubility, crystallinity, and surface tension of chitosan, but it cannot strongly impact the viscosity of chitosan solution as much as the molecular weight (Mv). From these results, M3 chitosan, owning a high DD of 86.70%, and crystalline index of 44%, was dissolved in acetic acid for the collection of electrosprayed nanoparticles. The M3 solution having low viscosity of under 50 mm2/s displayed the easy adjustment of the stable Taylor-cone droplet at the nozzle tip. Particularly, the M3 chitosan solution with a concentration of 1.5 wt. % in acetic acid of 90 wt. % concentration operated at the working condition of 12 kV voltage, a distance between the two electrodes of 10 cm created spherical particles with an average diameter of 338 nm, narrow size distribution. These chitosan nanoparticles can obtain the initial requirement for application as injectable drugs carrier.
Gravity Based Foundations for Offshore Wind Turbines: Cyclic Loading and Liquefaction

In current modelling of excess pore pressures (EPPs) below marine structures, the irregular nature of cyclic loads and the real storm development are not taken into account. The effect of the irregular cyclic loading in time is investigated in this paper. The wind, wave and turbine loads on a gravity based foundation (GBF) are derived in the frequency domain. The real storm development is based on the CoastDat dataset. The load input is used in a program which takes the generation and dissipation of pore pressures under cyclic loading into account. Also, densification is included. The results show that the first storm in the lifetime of the GBF results in the highest EPPs. The EPP decreases in time, due to significant dissipation and densification during the build-up of a storm. Therefore, not the storms with the largest cyclic loads but the storms with the fastest build-up result in the highest EPPs, since this limits the process of densification. A large scatter is found in the maximum values of EPPs due to the irregular nature of the loads.
Ideological and economic influences on journalistic autonomy and cynicism: A moderating role of digital adaptation of news organizations

This study examines how ideological and economic aspects of news media are related to journalists’ autonomy and cynicism, and whether organizational adaptation to digital environments moderates the effects of those ideological and financial influences. Using secondary data from journalists (N = 1956) provided by the Korea Press Foundation, this study investigates the relationships among ideological differences between journalists and news organizations, advertising/public relations (ad/PR) work, journalists’ autonomy, and job cynicism. Findings suggest that both ideological incongruence and ad/PR work decreased journalistic autonomy, with the latter a stronger predictor than the former. Decreased autonomy, in turn, increased cynicism. Ad/PR work significantly predicted cynicism, but ideological incongruence did not influence cynicism. In addition, the more the news organization has adapted to the digital realm, the weaker the relations between ideological incongruence and autonomy and between autonomy and cynicism. However, as the adaptation level increased, the negative impact of ad/PR work on autonomy became stronger. Theoretical and practical implications are discussed.
A Survey to Explore the Role of Organizational Justice on Organizational Citizenship Behavior among Irish Healthcare Employees

ORIENTATION: Organizational Justice is very crucial for an organizations’ success and how it is perceived by employees. It develops great trust between the management and the employees, enhancing their job satisfaction, commitment, efficiency, and thus reduces turnover intention and improves the level of employees’ citizenship behaviour. AIM: This study is designed to determine the impact of organizational justice on job satisfaction, turnover intention, and organizational citizenship behaviour among healthcare professionals working in Ireland. MOTIVATION FOR THE STUDY: The selection of healthcare professionals was to add another perspective and research dimension to the currently limited research material on organizational justice and citizenship behaviour among Irish healthcare professionals. Work exhaustion and turnover intention among healthcare professionals are the major issues faced by healthcare employees and management respectively and different forms of organizational justice play a major role in attenuating these factors. METHOD: An online survey by using validated tools was employed to achieve the research objective. A total number of 53 healthcare personnel participated in the study who completed a questionnaire comprising of organizational justice, job satisfaction, turnover intention, and organizational citizenship behaviour scales and were evaluated for their organizational citizenship in terms of altruism, sportsmanship, and courtesy. RESULT: It has been identified from this survey that organizational justice, is positively related to job satisfaction and organisational citizenship behaviour whereas negatively related to turnover intention among Irish healthcare professionals.CONCLUSION: It is concluded that organisational justice is a strong indicator of organisational citizenship behaviour among healthcare professionals and also influences job satisfaction and turnover intention moderately.
Dopamine D2 and Serotonin 5-HT1A Dimeric Receptor-Binding Monomeric Antibody scFv as a Potential Ligand for Carrying Drugs Targeting Selected Areas of the Brain

Targeted therapy uses multiple ways of ensuring that the drug will be delivered to the desired site. One of these ways is an encapsulation of the drug and functionalization of the surface. Among the many molecules that can perform such a task, the present work focused on the antibodies of single-chain variable fragments (scFvs format). We studied scFv, which specifically recognizes the dopamine D2 and serotonin 5-HT1A receptor heteromers. The scFvD2–5-HT1A protein was analyzed biochemically and biologically, and the obtained results indicated that the antibody is properly folded and non-toxic and can be described as low-immunogenic. It is not only able to bind to the D2–5-HT1A receptor heteromer, but it also influences the cAMP signaling pathway and—when surfaced on nanogold particles—it can cross the blood–brain barrier in in vitro models. When administered to mice, it decreased locomotor activity, matching the effect induced by clozapine. Thus, we are strongly convinced that scFvD2–5-HT1A, which was a subject of the present investigation, is a promising targeting ligand with the potential for the functionalization of nanocarriers targeting selected areas of the brain.
An Investigation of Contextual Factors for ICT Adoption and Utilization by Administrators and Managers of Basic Schools

This quantitative study was carried out to find out the contextual factors that relate to ICT adoption and utilization by school administrators in a school district in Ghana. The study adopted the cross-sectional survey design, and used the census sampling technique to collect data from 69 participants, and analyzed using multiple linear regression. The study found that five out of the six factors – Attitude towards ICT; Perceived Usefulness of ICT tools; Access and Availability of ICT tools; Training and Technical Support; and Motivation and Incentives for using ICT tools – were the major contextual factors that relate to ICT adoption and utilization. Also, Motivation and Incentives for using ICT tools made the strongest unique contribution (Beta = .496) to predicting ICT adoption and utilization, when the variance explained by all other factors is controlled for. The study also found that Perceived Ease of Use was not a significant factor for predicting ICT adoption and utilization by school and administrators. It was recommended that school administrators should be given the necessary training and support, and particularly be adequately motivated, in order to concretize their ICT adoption and utilization decisions.
“Fake it ‘till you make it”: Authenticity and wellbeing in late diagnosed autistic women

The diagnosis of autism spectrum condition (ASC) in women is increasing, prompting research into the gendered experience and presentation of female ASC. To complement this growing body of research, the current study utilised a qualitative approach informed by a feminist disability framework to explore how the intersecting dimensions of difference, gender, and ASC influence autistic women’s subjectivity and wellbeing. Drawing on the experiences of eight late-diagnosed autistic women, thematic analysis highlighted experiences of early marginalisation, challenges of living outside gendered social norms, the psychological and emotional consequences of masking, and the impact of diagnosis on subjectivity, identity, and wellbeing. Participants developed their authenticity and personhood within a performative social context that required masking of the self, a complex process with wide-ranging consequences. Findings also highlight the importance of acceptance, representation, and community for the wellbeing of autistic women. This research challenges the dominant, masculinised construction of ASC. It highlights the need for the ontological status of ASC to be reconceptualised to incorporate diverse experiences of the condition across the gender spectrum. Future research should explore how psychology can facilitate this reconceptualisation.
Vibration based characterization of tool wearing in micro-milling of ceramics during waveform toolpath

The main aim of the paper is to monitor the micro- milling tool wearing process offline, by a microscopic tool measurement on one hand, and using high-frequency vibration measurement online, during the cutting process, on the other. Relations between the rake face wear stages and the measured online and offline parameters were determined applying an owndeveloped, artificial neural network based feature selection solution. As the main result, the experiment-based research appoints that the measured vibration variable component(s) which characterizes the key, three tool wearing phases, in the same way as the real rake face wearing stages occur, applying the waveform tool path
Is Heterogeneity Better? The Impact of Top Management Team Characteristics on Enterprise Innovation Performance

Although the importance of the top management team’s characteristics has attracted research attention, its influence remains undetermined. This paper considers the influence of top management team characteristics’ heterogeneity on GEM-listed enterprises’ innovation performance. From the perspective of optimizing top management team human capital and improving enterprise innovation performance, this study analyzes 634 GEM-listed enterprises via regression analysis. The results show that the effect of shallow-factor heterogeneity of the top management team on enterprise innovation performance is not significant, but deep-factor heterogeneity has a negative effect. These findings indicate that deep-factor heterogeneity is more important than shallow-factor heterogeneity and is subject to closer attention. If a GEM-listed enterprise wants to set up a strong top management team that contributes to the improvement of enterprise innovation performance, it must examine the consistency of each member’s educational background and extend their tenure as long as possible without considering the gender ratio or age structure of the team.