Miracle-dz/UniFAR-FTUs huggingface dataset:
Cardiovascular Risk Reduction at UnitedHealthcare of North Carolina: The First 12 Months

Despite a remarkable 27% decline in age-adjusted cardiovascular mortality between 1986 and 1996, cardiovascular disease (CVD) remains the leading cause of death among adults in the United States [1]. Approximately 5 million persons are evaluated in the emergency department for chest pain each year, and of those admitted to a cardiac care unit, about 30% are subsequently discharged with a diagnosis of acute myocardial infarction [2]. Of the nearly 1 million persons who survive a myocardial infarction each year, 18% of men and 35% of women will have a recurrent heart attack within 6 years [1]. The typical health plan with 100,000 commercial members averages more than 1.9 cardiovascular hospital admissions per 1000 members per year at an annual cost of almost $5 million. The economic burden of CVD and stroke in this country is substantial; this year, it will account for 18 cents of every health care dollar spent, or $160 billion [1]. Efforts to improve the health status of patients with CVD are hampered by several obstacles. Fragmented health care delivery systems fail to provide a comprehensive, coordinated approach to care. Access to care may be limited, especially in rural areas. Physicians’ time constraints may hinder their ability to develop and implement a comprehensive treatment plan. In addition, less than one third of patients who experience a cardiac event participate in rehabilitation programs, and most patients are unsuccessful in making long-term lifestyle changes. For UnitedHealthcare of North Carolina (UHC-NC), heart disease is the number one diagnosis based on cost. Licensed in all 100 counties, UHC-NC is an open-access HMO with more than 300,000 members, 11,000 physicians, and 100 hospitals statewide. UHC-NC is a part of UnitedHealthcare Corporation, a large, for-profit health care management services company. Believing that there was significant potential for improved clinical management of their CVD patients, UHC-NC partnered with CorSolutions (formerly Cardiac Solutions), a national provider of disease management services, to implement a care management system for members who have suffered an acute cardiovascular event. This paper reports on the cardiovascular risk reduction (CVRR) program that was introduced on 1 April 1997. Methods
Social Entrepreneurship Learning Model in Higher Education using Social Network Analysis

Social Entrepreneurship aims to solve social problems and focus more on giving social impact on society. The academic programs of most universities tend to teach students to be employees instead of developing skills and competencies to try something new, particularly being involved in any entrepreneurship endeavours. Social entrepreneurship courses have been introduced in many universities to ensure the employability rate of fresh graduates while equipping the students with entrepreneurial capabilities that are essential for the graduates when they are immersed in the society. In order to decrease the unemployment rate, the government suggested that graduates should be involved in entrepreneurship activities. This paper contributes to the development of social entrepreneurship learning model in higher education. The constructs of this model are acquired from the extant literature reviews of the existing models in social entrepreneurship, analysis of the relationships of data and patterns in social entrepreneurship through Social Network Analysis (SNA) are discussed using the narrative approach. This approach is chosen to fully understand the concept of social entrepreneurship from enormous social media data. This social entrepreneurship learning model will help in creating, developing and sustaining a rising generation of social entrepreneurs whilst reducing fresh graduate’s unemployment rate and nurturing more skills to the students.
3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction

In this paper, we propose a novel 3D CNN architecture that enables us to train an effective video saliency prediction model. The model is designed to capture important motion information using multiple adjacent frames. Our model performs a cubic convolution on a set of consecutive frames to extract spatio-temporal fea- tures. This enables us to predict the saliency map for any given frame using past frames. We comprehensively investigate the performance of our model with respect to state-of-the-art video saliency models. Experimental results on three large-scale datasets, DHF1K, UCF-SPORTS and DAVIS, demonstrate the competitiveness of our approach.
STUDIES ON MICROBIAL PRODUCTION OF INDOLE ACETIC ACID FROM SOIL MICRO FLORA OF RAIGAD DISTRICT

1. Department of Microbiology, Dr. B.A.M.University, Sub Campus, Osmanabad, Maharashtra, India. 2. Department of Microbiology, V.P. College, Patoda, Dist. Beed, Maharashtra, India. Manuscript Info Abstract . Manuscript History Received: 10 October 2019 Final Accepted: 12 November 2019 Published: December 2019
Methodological Challenges of Deep Learning in Optical Coherence Tomography for Retinal Diseases: A Review

Artificial intelligence (AI)-based automated classification and segmentation of optical coherence tomography (OCT) features have become increasingly popular. However, its 3-dimensional volumetric nature has made developing an algorithm that generalizes across all patient populations and OCT devices challenging. Several recent studies have reported high diagnostic performances of AI models; however, significant methodological challenges still exist in applying these models in real-world clinical practice. Lack of large-image datasets from multiple OCT devices, nonstandardized imaging or post-processing protocols between devices, limited graphics processing unit capabilities for exploiting 3-dimensional features, and inconsistency in the reporting metrics are major hurdles in enabling AI for OCT analyses. We discuss these issues and present possible solutions.
Breast Cancer Epidemiology, Screening, Treatment and Awareness in Pakistan

Breast cancer represents a significant health problem because of the number of individuals affected by this disease. Thirty per cent of all cancers in women occur in the breast, making it the most commonly diagnosed female cancer. Breast cancer is among the top 20 causes of deaths in Pakistan. Various phenomena serve as protective as well as risk factors for breast cancer. Several characteristics proving to be risk factors include age, weight, family history, physical activity, smoking, hormonal and reproductive factors. Women with advanced age, having middle class family background, higher body mass index and a high ratio of incomplete pregnancies are at significantly increased risk of breast cancer [1-10].
Mediating Effect of Intimate Partner Violence on the Relationship between Alcohol Use and Relational Satisfaction: Actor-Partner Interdependence Model Analysis

Mediating Effect of Intimate Partner Violence on the Relationship between Alcohol Use and Relational Satisfaction: Actor-Partner Interdependence Model Analysis Sungbum Woo · Youngsun Lee Graduated School of Professional Therapy, Gachon University, Lecturer; Department of Liberal Arts, Joongbu University, Assistant Professor Fam. Environ. Res. Vol.58, No.1, February 2020: 075-086 http://dx.doi. org/10.6115/fer.2020. 006 Original Article ISSN 2288-3541(Print) ISSN 2288-355X(Online)
The Latinx Family: Learning y La Literatura at the Library

In this paper, three Latinx university faculty who facilitated Cuentos para la Familia, a bilingual family literacy program at a public library in the U.S. Southeast, discuss the significance of la literatura in Latinx communities. They contribute to the body of research about library-based programs for multilingual families by examining the ways that within a familial community context for learning, la literatura provides a catalyst for a heterogeneous group of immigrant Latinx families to (a) embrace and enact a sense of transnational identity and belonging within the public space of the library, and (b) mobilize their linguistic and sociocultural repertoires of practice. Data sources for the study include audio and video recordings of 25 family literacy sessions (approximately 90-minutes each) and artifacts created by children and parents, including oral and written responses to works of culturally relevant Latinx children’s literature and transcripts from focus group interviews with participating parents and caregivers.
Pathomorphism of Limb Major Vessels in Experimental Atherogenic Inflammation. The Role of Adventitial Intimal Relations (Review)

А. К. Kirichenko, MD, DSc, Professor, Pathological Anatomy Department; N.N. Patlataya, PhD, MD, Teaching Assistant, Department of Operative Surgery and Topographic Anatomy; А. F. Sharkova, Student, Pathological Anatomy Department; А. А. Pevnev, Student, Department of Operative Surgery and Topographic Anatomy; К. V. Kontorev, Student, Department of Operative Surgery and Topographic Anatomy; О. V. Shapovalova, Student, Department of Operative Surgery and Topographic Anatomy; М. Е. Gorban, Student, Department of Operative Surgery and Topographic Anatomy; I.N. Bolshakov, MD, DSc, Professor, Department of Operative Surgery and Topographic Anatomy
A review of author name disambiguation techniques for the PubMed bibliographic database

Author names in bibliographic databases often suffer from ambiguity owing to the same author appearing under different names and multiple authors possessing similar names. It creates difficulty in associating a scholarly work with the person who wrote it, thereby introducing inaccuracy in credit attribution, bibliometric analysis, search-by-author in a digital library and expert discovery. A plethora of techniques for disambiguation of author names has been proposed in the literature. In this article, we focus on the research efforts targeted to disambiguate author names specifically in the PubMed bibliographic database. We believe this concentrated review will be useful to the research community because it discusses techniques applied to a very large real database that is actively used worldwide. We make a comprehensive survey of the existing author name disambiguation (AND) approaches that have been applied to the PubMed database: we organise the approaches into a taxonomy; describe the major characteristics of each approach including its performance, strengths, and limitations; and perform a comparative analysis of them. We also identify the datasets from PubMed that are publicly available for researchers to evaluate AND algorithms. Finally, we outline a few directions for future work.
Médicaments potentiellement inappropriés chez la personne âgée : étude portant sur 244 patients hospitalisés en gériatrie aiguë

Introduction : le vieillissement est souvent associe a des maladies chroniques et de multiples morbidites, conduisant tres frequemment a une polymedication. L’un des risques associes a la polymedication est la prescription de medicaments potentiellement inappropries (MPI). Une des graves consequences de la prescription de MPI va etre la survenue d’evenements indesirables evitables chez la personne âgee. Objectifs : notre objectif principal etait de comparer le nombre de MPI entre l’entree et la sortie d’hospitalisation en utilisant trois ensembles de criteres (Beers, Laroche, START/STOPP), dans deux services de geriatrie aigue du CHU d’Amiens. Methode : une etude prospective a ete realisee de janvier a mars 2015, chez les patients âges de plus de 75 ans hospitalises en service de geriatrie aigue. La recherche des MPI a l’entree et a la sortie a ete realisee a partir des trois listes de MPI (Laroche, Beers, STOPP). Resultats : 244 patients ont ete inclus (âge median : 85,6 ans) dans notre etude. Selon les criteres de Beers, 59,4% des patients avaient au moins un MPI a l’admission, cette proportion etait de 52,5% concernant les criteres Laroche et 44,7% concernant ceux de STOPP. En sortie d’hospitalisation, il existait une baisse significative du nombre de MPI selon les listes de Laroche (19,7% avec au moins 1 MPI) et STOPP (28,7% avec au moins 1 MPI), il n’existait pas de difference significative du nombre de MPI avec la liste Beers (56,6% avec au moins 1 MPI). Les classes medicamenteuses les plus frequemment retrouvees sont les benzodiazepines et apparentes. Conclusion : la prescription medicamenteuse chez les sujets âges est associee a une frequence elevee de MPI. L’hospitalisation permet une optimisation de la prescription chez le sujet âge. L’intervention du pharmacien hospitalier en collaboration avec le medecin etant une aide a la reevaluation du traitement.
Heavy Metals: The Notorious Daredevils of Daily Personal Care Products

: Personal care products and facial cosmetics are commonly used by millions of consumers on a daily basis. Direct application of cosmetics on human skin makes it vulnerable to a wide variety of ingredients. Despite the protecting role of skin against exogenous contaminants, some of the ingredients in cosmetic products are able to penetrate the skin and to produce systemic exposure. Consumers’ knowledge of the potential risks of the frequent application of cosmetic products should be improved. While regulations exist in most of the high-income countries, in low income countries there is a lack of similar standards. In most countries for which these legal regulations have been identified, restrictions on the permissible level of heavy metals are strict. There is a need for enforcement of existing rules, and rigorous assessment of the effectiveness of these regulations. The occurrence of metals in cosmetic products is of concern for three principal reasons: (i) the use of cosmetic products could represent a possible source of population-wide exposure daily, and often long-term exposure to metals in cosmetic products (ii) metals can accumulate in the body over time, and (iii) a number of them are known to exhibit different chronic health effects, such as cancer, contact dermatitis, developmental, neurological and reproductive disorders, brittle hair and hair loss. Some metals are potent endocrine disruptors and respiratory toxins. Moreover, some metals, such as Cd, As, Pb, Hg and Sb, are exceptionally toxic with a wide variety of chronic health effects, whereas Cr, Ni and Co are well known skin sensitizers. Since the issue of heavy metals as deliberate cosmetic ingredients has been addressed, attention is turned to the presence of these substances as impurities.
4.4 Arterial Stiffness can be Modulated by Pressure-Independent Mechanisms in Hypertension

Background: Effects of short-term interventions on large artery stiffness assessed by pulse wave velocity (PWV) have mainly been explained by concomitant changes in blood pressure (BP). However, lower body negative pressure (LBNP), which increases sympathetic activity (SA) has a specific effect on PWV in healthy volunteers [1]. Methods: We examined effects of lower limb venous occlusion (LVO), a similar intervention to LBNP that reduces BP but increases SA and device guided breathing (DBG), which reduces both BP and SA, on PWV in patients with essential hypertension (n = 70 after LVO, n = 45 after DGB and LVO in random order). The short acting calcium channel antagonist nifedipine was used as a control for changes in BP. Results: LVO produced a small but significant reduction in mean arterial pressure of 1.8 (95% confidence-intervals, 0.3–3.4) mmHg. Despite this, aortic and carotid-femoral PWV increased during LVO by 0.8 (0.2–1.4) m/s and 0.7 (0.3–1.05) m/s respectively. When comparing effects of DGB with nifedipine (n = 19), nifedipine produced a greater reduction in mean arterial pressure compared to DGB (reduction of 13.4 (10.2–17.7) mmHg and 7.7 (6.4–9.0) mmHg respectively, p = 0.009 between the two) but the decrease in PWV was less than that observed with DGB (0.7 (0.1–1.5) m/s and 1.3 (0.8–1.8) m/s respectively, p = 0.022 between the two). Conclusion: Arterial stiffness can be modulated independently of BP in patients with hypertension. The mechanism could involve alterations in SA influencing the tone of smooth muscle in the aortic wall. REFERENCE [1] Nardone M, Incognito AV, Millar PJ. Evidence for pressure-independent sympathetic modulation of central pulse wave velocity. J Am Heart Assoc 2018;7:e007971. © 2019 Association for Research into Arterial Structure and Physiology. Publishing services by Atlantis Press International B.V. This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/). *Corresponding author. Email: luca.faconti@kcl.ac. uk
Gamificação como aliada na Educação Empreendedora

Este trabalho apresenta uma ferramenta web gamificada para auxílio no ensino-aprendizagem de Empreendedorismo. Nomeada como InovaEdu, ela auxilia o estudante na estruturação e organização de sonhos, criação do modelo e plano de negócio, além de simular investimentos para o negócio fictício de um grupo de estudantes. Na aplicação, estudantes e professores, desempenham papéis de personagens como: investidor, consultor, agência classificadora de risco. O objetivo da ferramenta é tornar as aulas de Empreendedorismo dinâmicas, divertidas e com experiências práticas, desenvolvendo habilidades como trabalho em equipe, organização, responsabilidade, liderança, persistência, além de várias outras proporcionadas por uma educação empreendedora, que são necessárias não apenas para a criação de um negócio, mas para a vida.
Technical Report: Building a Neural Ensemble Decoder by Extracting Features Shared Across Multiple Populations

To understand whether and how a certain population of neurons represent behavioral-relevant variables, building a neural ensemble decoder has been used to extract information from the recorded activity. Among different ways to decode neural ensemble activity, the parametric approach requires assumption of the spiking distribution and an underlying encoding model, which poses challenges for neurons with nonlinear, multi-modal, and complex receptive fields. Alternatively, non-parametric framework assumes no explicit probability distribution and discovers patterns from the data in an unbiased way, and thus training a machine learning model as a decoder has gained its popularity in the field. However, machine learning models require a big-enough dataset, yet the data size is often small due to limitations in recording techniques. Although increasing the number of subjects help increase the size of the overall training set, how to concatenate recorded ensemble activity across subjects while preserving their spatial-temporal structures is not trivial. In this technical report 1, a novel way to extract features shared across populations from multiple subjects to train a machine learning model is described. With this feature extraction framework, one can easily test upon different hypothesis of the underlying coding strategies. In addition, several common issues in applying a machine learning model to decode neural activity has been discussed. Overall, this report provides a rigorous protocol for applying machine learning models to decode a relatively small dataset neural ensemble activity collected across multiple populations.
Accuracy of CT perfusion in the evaluation of acute ischaemic stroke: personal experience

Poster: "ECR 2017 / C-2824 / Accuracy of CT perfusion in the evaluation of acute ischaemic stroke: personal experience" by: "M. Ukmar, R. Pozzi Mucelli, A. Gennari, F. Pozzi Mucelli, F. Neri, I. Zorzenon, M. Cova; Trieste/IT"
Helicobacter pylori Eradication Therapy May Facilitate Gastric Ulcer Healing After Endoscopic Mucosal Resection: A Prospective Randomized Study

Background and Aim: It remains unclear whether Helicobacter pylori eradication therapy affects the healing rate of iatrogenic ulcers following endoscopic mucosal resection (EMR) for gastric tumors. The aim of our study was to prospectively evaluate the effect of H. pylori eradication therapy on gastric ulcer healing after EMR.
Towards an Intuitive and Iterative 6D Virtual Guide Programming Framework for Assisted Human-Robot Comanipulation

SUMMARY In human-robot co-manipulation, virtual guides are an important tool used to assist the human worker as they constrain the movement of the robot to improve the task accuracy and to avoid undesirable eﬀects, such as collisions with the environment. Consequently, the physical eﬀort and cognitive overload is reduced during accomplishment of co-manipulative tasks. However, construction of virtual guides often requires expert knowledge and modeling of the task, which restricts the usefulness of virtual guides to scenarios with ﬁxed constraints. Moreover, few approaches have addressed the implementation of virtual guides enforcing orientation constraints, and when done, these approaches have treated translation and orientation separately, and consequently there is no synchronization of the translational and rotational motions. To overcome these challenges and enhance the programming ﬂexibility of virtual guides, we present a new framework that allows the user to create 6D virtual guides through XSplines which we deﬁne as a combination of Akima splines for the translation component, and spherical cubic interpolation of quaternions for the orientation component. For complex tasks, the user is able to initially deﬁne a 3D virtual guide and then use this assistance in translational motion to concentrate only on deﬁning the orientations along the path. It is also possible for the user to modify a particular point or portion of a guide while being assisted by it. We demonstrate in an industrial scenario that these innovations provide an intuitive solution to extend the use of virtual guides to 6-DOF and increase the human worker’s comfort during the programming phase of these guides in an assisted human-robot co-manipulation context.
Epigenetic variation in a reptile with temperature-dependent sex determination and inspiring a diverse future for STEM

Vertebrates with temperature-dependent sex determination (TSD), a mechanism that relies on incubation temperature to irreversibly determine the sex of developing embryos, are threatened by ongoing changes in climate and local environmental conditions. Previous studies have suggested that behavioral and molecular plasticity in this system may provide opportunities for these species to adapt to these changes. Although decades of research have uncovered key aspects, a complete molecular mechanism of TSD remains elusive. Epigenetic studies have the potential to unlock crucial information previously cryptic in traditional genetic studies. Recent studies have shown that environmental factors and maternal effects can greatly influence an individual’s epigenome, resulting in altered phenotypes. DNA methylation in particular is well known for its dynamic ability to silence genes, and evidence is accumulating for its role in determining sex in TSD systems. This thesis examines the presence and effects of epigenetic variation, specifically DNA methylation, in the context of TSD. Using the painted turtle, Chrysemys picta, as a model for TSD, I leveraged a population of painted turtles at a long-term study site to investigate the relationship between DNA methylation and sex in a TSD system. In Chapter 2, I quantified sex-specific genome-wide DNA methylation and its variation in adult turtles. Although I identified high within-sex variation in both sexes, adult female turtles had approximately 1/2 the amount of DNA methylation across their genome as the average adult male, despite otherwise identical genomic structures. Dispersing knowledge is a critical aspect of scientific research. However, many public communities have less access to this information than others. Thus, many people