Miracle-dz/UniFAR-FTUs huggingface dataset:
A Randomized Intervention to Assess the Effectiveness of an Educational Video on Organ Donation Intent

Visual Abstract Key Points Organ donation in the United States is characterized by major racial disparities that are especially prominent in large urban centers. Our study provides unique insight into the causes of these disparities in New York City and potential ways to address and correct them. Our study provides pathways to improve organ donation registration in a large heterogeneous areas to help correct inequities in health care. Background The primary objective of this study was to evaluate the effectiveness of an emotive educational video on organ donation intent in New York City. The secondary study objective was to determine if the educational video affected various factors associated with organ donation. Methods New York City residents were recruited via a crowdsourcing online platform and randomized to one of two groups, with exposure to viewing (1) an educational video before completing an 81 question survey on organ donation (“video first” condition) or (2) after completing the survey (“video last” condition). Logistic regression analysis compared organ donation intent (i.e., “how likely are you to become an organ donor”) between the two groups. Additional variables related to organ donation (e.g., religious beliefs, financial incentives) were also evaluated between the two groups. Analyses were adjusted for organ donation registration status. Results In total, 1905 participants were randomized. We observed a statistically significant increased odds of organ donation intent among those randomized to the video first condition compared with those randomized to the video last condition (odds ratio [OR], 1.70; 95% confidence interval [95% CI], 1.29 to 2.24). Differences regarding both educational effect on nondonors and racial differences such that there was a decreased odds of organ donation intent among those who identified as Black compared with those who were White (OR, 0.66; 95% CI, 0.47 to 0.92). Black participants were also more likely to report bodily integrity and differential treatment by doctors compared with White participants. Conclusion Our findings suggest that future interventions to increase organ donation registration among ethnically diverse populations could be effective if sufficient information is presented before decision making to addresses potential concerns.
The role of inbound and outbound open innovation on firm performance in environmental turbulence era: Mediating of product and marketing innovation

Open innovation has been identified as two dimensions, the flow of knowledge obtained from outside and processed within the organization and has a role as a key business responsiveness to prevent any risks that will be faced. From this knowledge flow is a successful approach to new product development featuring outbound and inbound knowledge that is managed with the aim of getting out of the bounds of risk. Therefore, this study investigates and explains the clausal relationship between the variables used, such as inbound and outbound open innovation, product innovation, marketing innovation, firm performance, and environmental turbulence as moderating variables. This study uses a quantitative approach and designs a questionnaire that has been distributed to 115 SMEs owner / managers as a sample. In the process of formal data collection, a random sample was used in this study which was distributed to the owner / manager of SMEs. While the processing, analysis, and hypothesis testing process of this study uses PLS-SEM which is a statistical tool for applying all data scales, does not require many assumptions, and confirms relationships. The findings in this study indicate that what has a positive and significant effect is the relationship of inbound open innovation to product innovation, product innovation to marketing innovation, marketing innovation to firm performance. In addition, the moderating effect of environmental turbulence in a positive way is only product innovation on firm performance. Further explanation of the implications of the findings has been discussed and confirmed.
Clinical Leadership Competence in ProfessionalHealthcare Management System: The Role of Self-Esteem,Extraversion and Interpersonal Relationship AmongClinicians in Ondo and Lagos State, Nigeria

The perception of clinical leadership being dislocated from everyday medical practice suggests that more must be done to explain the relevance of leadership to all health care practitioners. This study examined clinical leadership competence in professional healthcare management system: The role of self-esteem, extraversion, and interpersonal relationship among clinicians in Ondo and Lagos State, Nigeria. A cross-sectional survey design was adopted in the study. Four hypotheses were formulated for the study. A total of 412 clinicians across 3 Federal and 2 State hospitals, including 4 General hospitals and 3 Health centers in Lagos and Ondo States, Nigeria was sampled using accidental sampling technique. The participants comprised of 212 (51.5%) males and 200 (48.5%) females. The ages ranged from 24 to 58 with a mean of 38.19 years and SD of 9.52. Relevant data were gathered through the use of validated questionnaire which comprised 5 sections: Socio-demographic information, Rosenberg Self-Esteem Scale, Relationship Assessment Scale, Big Five Personality Inventory and Clinical Leadership Competency Framework.
Viscometric flow for a many-body dissipative particle dynamics (MDPD) fluid with Lees–Edwards boundary condition

Abstract Viscometric properties of polymer are explored by the many-body dissipative particle dynamics (MDPD) using Lees–Edwards boundary conditions. The equation of state for the MDPD system is modified by fitting the density correction to different values of the cut-off radius. Due to the many-body interactions in MDPD, the viscosity contributed from the conservative force increases considerably with increasing repulsive coefficient, density and cut-off radius, and cannot be ignored compared to the ‘standard’ DPD case. The influence of these parameters on the MDPD viscosity is investigated, and we propose an equation to predict the viscosity in MDPD model. Additionally, the dumbbell polymer suspension model is investigated in the MDPD fluid, and the relations concerning first normal stress difference and shear rate, the relaxation time and spring constant, are consistent to theoretical works. We conclude that the MDPD model can be used to investigate the dynamics of non-Newtonian droplets.
THE INFLUENCE OF PRICE, PROMOTION AND CUSTOMER SATISFACTION TOWARDS GOJEK CUSTOMER LOYALTY STUDENTS FACULTY OF ECONOMICS, STATE UNIVERSITY JAKARTA.

Research with the title "The Effect of Price, Promotion, and Customer Satisfaction on Customer Loyalty of Students of the Faculty of Economics, State University of Jakarta" was written by Tri Nada Nisrina, NIM 1709618034 majoring in Office Administration Education, Faculty of Economics, State University of Jakarta. This research uses a quantitative approach with associative research type. The data collection technique used a questionnaire, the sampling technique used simple random sampling, the number of samples used in this study was 100 respondents. The measurement scale used is the Likert scale. Data analysis used includes: Measurement model test and structural model test. The results of this study indicate that, (1) Price has a positive and significant effect on Customer Loyalty for Gojek Students at the Faculty of Economics, State University of Jakarta, (2) Promotion has a positive and significant effect on Customer Loyalty for Gojek Students at the Faculty of Economics, State University of Jakarta, (3) Customer Satisfaction has an effect. positive and significant towards Gojek Customer Loyalty for Students of the Faculty of Economics, State University of Jakarta and (4) Simultaneously (together) the variables of Price Influence, Promotion, and Customer Satisfaction have a significant and significant effect on the interest in Student Learning Outcomes.
Study of Histomorphological Spectrum of Granulomatous Lesions of Skin

Introduction: The granulomatous reaction is defined as a distinctive inflammatory pattern characterised by the granuloma. The term Granuloma was first coined by Virchow in 1864. The granuloma is characterised by collection of activated histiocytes, epithelioid cells and multinucleate giant cells that may or may not be rimed by lymphocytes and/or show central necrosis. The pattern of skin disease varies from one country to another and across different parts within same country. The granulomatous lesions of skin are a common and intriguing problem in developing countries. Aim:To study the histomorphological spectrum of granulomatous lesions of skin. Materials and Methods: This cross-sectional study was conducted in Department of Pathology, Sarojini Naidu Medical College, Agra, Uttar Pradesh, India, over a period of two years (from September 2018 to September 2020). All skin biopsies coming to The Department of Pathology werefixed in 10% neutral buffered formalin for duration of 12 to 24 hours. Paraffin wax blocks were made and 3-4 micrometer section were taken and stained with Haematoxylin and Eosin (H&E), showing granulomas on histology were included in the study. On H&E, stained slide, granulomas were studied for type, morphology and site. Special stains were used for further evaluations and analysis. Results: Out of total 124 cases studied, the maximum patients 34 (27.41%) were of 11-20 years age group. The epithelioid granuloma was the most common type in 76 (61.29%) cases followed by histiocytic granuloma in 24 (19.35%). The infectious granulomatous dermatoses were the most common histological type in which tuberculosis was most common followed by leprosy. Most commonly the lesions were found to involve the whole dermis in 74 (59.68%) cases, followed by upper and mid dermis in 35 (28.23%) cases. Out of 40 cases of leprosy, 17(42.50%) cases were found Wade-Fite Stain positive. Out of total 57 cases of tuberculosis, 31 (54.38%) cases were found Acid-Fast Bacillus (AFB) positive. Conclusion: We concluded that major cause of granulomatous dermatoses in developing countries is still infectious, tuberculosis and leprosy being the leading causes. Histopathology is gold standard for diagnosis and categorisation of granulomatous dermatoses. Special stains are useful in cases of any dilemma.
CHRONOLOGY OF A GROUP OF STONE-CIST GRAVES IN NORTHERN ESTONIA: RADIOCARBON DATES FROM LASTEKANGRUD AT REBALA

Twenty-two radiocarbon dates of human bone were obtained to clarify the chronology of five stone-cist graves at Rebala, northern Estonia. The calibrated dates of the cist burials mostly span the Hallstatt plateau of the calibration curve, i.e. 800–400 BC. The cemetery was probably present around 600 BC at the latest, but there is no firm evidence to further constrict the date of the cist burials. The results do not overlap with the previously obtained radiocarbon dates of the charcoal from beneath the graves, which indicate the 13th–9th centuries BC. A few radiocarbon-dated burials outside the cists show that the cemetery was still in use after 400 BC, but it remains unclear whether the use was continuous from the Bronze into the Pre-Roman Iron Age or consisted of temporally separate episodes. Whether the latest interments in the Pre-Roman Iron Age coincided with the establishment or use of the block-shaped fields around the graves remains also undecided. The case exemplifies the difficulties in pinpointing the end of the stone-cist burial tradition in Estonia. In addition to the prehistoric burials, grave II contained at least nine infant skeletons, most likely from the 15th century AD, and thus served as an example of the well-known cultural phenomenon of secluded infant burial.
Burnout, Self-Efficacy, and Coping Strategies Among College Faculty

BURNOUT, SELF-EFFICACY, AND COPING STRATEGIES AMONG COLLEGE FACULTY Jordan M Ball Old Dominion University, 2021 Director: Dr. Miguel Padilla Due to the changing college environment, university faculty are faced with a serious burden to support their university. University faculty are expected to satisfy numerous job demands, and these demands in turn lead to burnout, a chronic response to job stressors. Burnout is an essential component of occupational research as it relates to other negative outcomes, such as turnover and decreased performance. Because of this, it behooves both faculty and universities to employ methods that decrease burnout. Research concerning other populations indicates that certain personal resources can decrease burnout. Therefore, the current study seeks to determine if coping strategies and self-efficacy are useful for decreasing burnout. Furthermore, this study distinguishes between research and non-research universities following the Carnegie Classifications. Faculty were collected from five universities from the Eastern United States. The results suggest that faculty at both types of universities experience levels of burnout similar to that of medical professionals. Approach-based coping strategies can be useful in decreasing burnout, but avoidance-based coping strategies only serve to potentially increase burnout. Despite expectations, self-efficacy was not related to burnout, and potential explanations are offered. In conclusion, burnout is an important consideration for both individual faculty members as well as higher education institutions in general, and approach-based coping strategies may be helpful for reducing burnout levels.
Arsenic/Iron Removal From Groundwater With Elevated Ammonia and Natural Organic Matter

Under the US Environmental Protection Agency's Arsenic Demonstration Program, an iron (Fe) removal process consisting of permanganate oxidation and greensand filtration was shown to be effective in removing soluble arsenic (As(III)) (24.1 μg/L on average) from Waynesville, Ill. , groundwater, which also contained elevated ammonia (3.8 mg/L [as N] on average) and natural organic matter (NOM) (7.9 mg/L, on average, of total organic carbon). Chlorine was not used because it forms chloramines, which are not effective in oxidizing As(III). A permanganate dose over the stoichiometric amount was applied to overcome interference from NOM‐based on jar testing conducted for this and another Fe removal system at Sauk Centre, Minn. These pressure filtration systems had no air contact, thus allowing simultaneous oxidation of As(III) and ferrous iron. Compliance monitoring data to date show consistently low arsenic (<4 μg/L) and Fe (<0.05 mg/L) since the commencement of system operation in July 2009.
In vitro and in vivo toxicity of fungicides and biofungicides for the control of verticillium and fusarium wilt of pepper

A survey of in vitro and in vivo sensitivity of Verticillium dahliae and Fusarium oxysporum to several commercial fungicides and biofungicides was undertaken. In in vitro assays, the tested isolate of V. dahliae proved to be very sensitive to difenoconazole (EC50 = 0.02 mg/l). However, under greenhouse conditions, the highest efficacy in V. dahliae control on inoculated pepper plants was recorded for a product based on thiophanate-methyl (83.10% compared to control). Among the tested fungicides, the lowest efficacy was recorded for a product based on azoxystrobin (23.10 %) with no significant difference compared to control (p > 0.05). In in vitro assays, the tested F. oxysporum isolate was the most sensitive to prochloraz (EC50 = 0.07 mg/l) and the least sensitive to fluopyram (EC50 = 1075.01 mg/l). In in vivo assay, the highest efficacy was achieved by products based on captan (95.60%), and the lowest by a product based on thiophanate-methyl (54.40%). Antagonistic activity of the bacterium B. subtilis under laboratory conditions was not satisfying. Also, the antifungal activity and spectrum of a tested product based on tee tree oil was not efficient in suppressing pepper wilting caused by V. dahliae and F. oxysporum.
Oxide-Metal Ratio Dependence of Central Void Formation of Mixed Oxide Fuel Irradiated in Fast Reactors

Abstract Based on thermal computation results obtained using an irradiation behavior analysis code, we have evaluated the effect of oxide-metal ratio on fuel restructuring from the results of postirradiation examinations for the B14 irradiation test fuel, which was a mixed oxide fuel and was irradiated in the experimental reactor Joyo. The thermal computation results showed that fuel restructuring in the stoichiometric oxide fuel was accelerated, though the fuel temperature in the stoichiometric oxide fuel was evaluated as lower than that of the hypo-stoichiometric one. We explained this behavior as follows: first, the fuel temperature decreased due to the high thermal conductivity at stoichiometry; second, the pore migration velocity increased due to the increase in vapor pressure caused by the high vapor pressure of UO3, which was derived from the high oxygen potential at stoichiometry. In addition, our results indicated that the central void diameter strongly depended on not only fuel temperature, but also vapor pressure.
Significant performance improvement of a terahertz photoconductive antenna using a hybrid structure

A photoconductive terahertz antenna based on a distributed Bragg reflector, recessed nanoplasmonic grating and recessed electrodes is proposed in this paper. By use of the finite element method and full wave simulation, the effect of geometrical parameters on the transient photocurrent of a proposed photoconductive antenna is investigated. The recessed nanoplasmonic structure reduces the reflection of laser light to less than 1.5% from the surface of low temperature gallium arsenide in comparison with 29% for a conventional photoconductive antenna. According to the results, the distributed Bragg reflector in combination with recessed nanoplasmonic grating and recessed electrodes results in 5265% photocurrent peak enhancement in comparison to a conventional photoconductive terahertz antenna.
Post2Vec: Learning Distributed Representations of Stack Overflow Posts

Past studies have proposed solutions that analyze Stack Overflow content to help users find desired information or aid various downstream software engineering tasks. A common step performed by those solutions is to extract suitable representations of posts; typically, in the form of meaningful vectors. These vectors are then used for different tasks, for example, tag recommendation, relatedness prediction, post classification, and API recommendation. Intuitively, the quality of the vector representations of posts determines the effectiveness of the solutions in performing the respective tasks. In this work, to aid existing studies that analyze Stack Overflow posts, we propose a specialized deep learning architecture Post2Vec which extracts distributed representations of Stack Overflow posts. Post2Vec is aware of different types of content present in Stack Overflow posts, i.e., title, description, and code snippets, and integrates them seamlessly to learn post representations. Tags provided by Stack Overflow users that serve as a common vocabulary that captures the semantics of posts are used to guide Post2Vec in its task. To evaluate the quality of Post2Vec's deep learning architecture, we first investigate its end-to-end effectiveness in tag recommendation task. The results are compared to those of state-of-the-art tag recommendation approaches that also employ deep neural networks. We observe that Post2Vec achieves 15-25 percent improvement in terms of F1-score@5 at a lower computational cost. Moreover, to evaluate the value of representations learned by Post2Vec, we use them for three other tasks, i.e., relatedness prediction, post classification, and API recommendation. We demonstrate that the representations can be used to boost the effectiveness of state-of-the-art solutions for the three tasks by substantial margins (by 10, 7, and 10 percent in terms of F1-score, F1-score, and correctness, respectively). We release our replication package at https://github.com/maxxbw/Post2Vec.
Highly conductive and strong graphite-phenolic resin composite for bipolar plate applications

Composite materials for bipolar plate applications in proton exchange membrane fuel cells were fabricated from synthetic graphite (SG), natural graphite (NG), or expanded graphite (EG) and novolac phenolic resin using compression molding. In comparing the resultant samples, the EG composite exhibited the best properties with a density of ∼1.55 g/cm3, flexural strength of 109 MPa, and modulus of 24 GPa even with a high graphite loading of 80 wt % and a low plate thickness of ∼0.9 mm, as well as in-plane conductivity of 182 S/cm. The EG content was further varied to find the optimal composition. The effects of using carbon nanotube sheets (buckypapers) or multiwalled carbon nanotubes as reinforcements to the EG-resin composite were investigated. A modified approach of measuring through-plane electrical conductivity capable of separated analysis of bulk resistance and interfacial contact resistance was attempted. The corrosion resistance, thermal conductivity, and gas permeability of EG-based composites were.
Effect of flow on the apparent transverse relaxation time in a microfluidic nuclear magnetic resonance chip

ABSTRACT The detection of samples in a microfluidic nuclear magnetic resonance chip is generally performed under flow condition. To study the effect of sample flow on the apparent transverse relaxation time in a microfluidic nuclear magnetic resonance chip, theoretical calculations were performed on three microfluidic samples (including deionized water, absolute ethanol, and copper sulfate pentahydrate) for flow velocities in the range 1.7–25 mm/s. A microfluidic nuclear magnetic resonance device with a low cost microfluidic solenoid coil was fabricated to verify the theoretical calculations by experiments. The results show that the apparent transverse relaxation time of the sample is a monoexponential decay with respect to flow velocity. In addition, it was found that the experimental values and the theoretical values of the apparent transverse relaxation time are identical when the samples are prepolarized completely; but for the samples that are not prepolarized completely, all the experimental values are smaller than the theoretical values and their difference increases with the flow velocity of the sample. After further study, it was discovered that the relative error between the experimental values and the theoretical values is a monoexponential decay to the level of the sample to be prepolarized. This discovery is very useful, because it can be used to modify the theoretical calculation model of the apparent transverse relaxation time for the samples that are prepolarized incompletely, as well as improve the application of microfluidics on nuclear magnetic resonance.
Computation Offloading and Service Caching in Heterogeneous MEC Wireless Networks

Mobile edge computing (MEC) can dramatically promote the computation capability and prolong the lifetime of mobile users (MUs) by offloading computation-intensive tasks to edge cloud. In this paper, a spatial-random two-tier heterogeneous network (HetNet) is modelled to feature random node distribution, where the small-cell base stations (SBSs) and the macro base stations (MBSs) are cascaded with servers with different levels of computing and storage capacity. Only a certain type of application services and finite number of offloaded tasks can be cached and processed in the resource-limited edge server. For that setup, we investigate the performance of two offloading strategies corresponding to integrated access and backhaul (IAB)-enabled MEC networks and traditional cellular MEC networks. Using tools from stochastic geometry and queuing theory, we derive the average delay for the two different strategies, in order to better understand the influence of IAB on MEC networks. Simulations results are provided to verify the derived expressions and to reveal various system-level insights.