Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification, investigation and management of patients with diabetic nepropathy at the primary and secondary care interface.

Approximately 170 million individuals worldwide have been diagnosed with Diabetes Mellitus and between 85--90% of the total population have Type 2 Diabetes Mellitus. Health care is facing an epidemic not only of Diabetes Mellitus but also of the consequence of the attendant morbidity including macro and micro diseases of the vascular system. Of particular interest for the purposes of this thesis, is the progression to nephropathy and development of cardiovascular risk of a proportion of this population and the investigation of strategies that may slow the decline to end stage renal failure and the need for renal replacement therapy or premature death due to cardiovascular disease. Initially, screening practice for microalbuminuria was altered, with patients being identified during their clinic visit, rather than retrospectively. In addition, data on blood pressure levels and antihypertensive agents prescription was collected and collated. Subsequently, a nurse specialist optimised the risk factor management of a cohort of patients with Diabetic Nephropathy using an algorithm driven evidenced based approach. Finally, analysis was undertaken of the factors that might contribute to the development of anaemia in diabetic nephropathy and hence to increased cardiovascular risk. The work described in this thesis demonstrates the inherent complexities of dealing with a problem that involves the maintenance of health within a system that has been set up primarily to deal with the consequences of illness.
Applied Biclustering Methods for Big and High-Dimensional Data Using R

Proven Methods for Big Data Analysis As big data has become standard in many application areas, challenges have arisen related to methodology and software development, including how to discover meaningful patterns in the vast amounts of data. Addressing these problems, Applied Biclustering Methods for Big and High-Dimensional Data Using R shows how to apply biclustering methods to find local patterns in a big data matrix. The book presents an overview of data analysis using biclustering methods from a practical point of view. Real case studies in drug discovery, genetics, marketing research, biology, toxicity, and sports illustrate the use of several biclustering methods. References to technical details of the methods are provided for readers who wish to investigate the full theoretical background. All the methods are accompanied with R examples that show how to conduct the analyses. The examples, software, and other materials are available on a supplementary website.
The Transition of Croatian Seaports into Smart Ports

Currently, the most advanced cargo-related business process management seaport model is a “smart port”, in which all parts of the seaport operations and transportation are closely connected through various networks. Different seaports are in different phases of system implementation that allows uninterrupted data flow and interconnections. For example, some Croatian cargo seaports can be considered “ports in development”, meaning they are currently only trying to simplify business processes. The Ministry of the Sea, Transport and Infrastructure plays an important role in the development of Croatian seaports, as it has recognized the importance of digitalization and stakeholder connectivity (shippers, freight forwarders, maritime agents, etc.), and has taken concrete measures to achieve digitalization and connectivity. Initially, it is necessary to enable system integration and stakeholder connectivity within the seaport, and subsequently connect the seaports with each other. The first step in the transition of Croatian seaports into smart ports is the development of both the Port Community Systems and the National Single Window. Later on, the goal should be to introduce the appropriate smart technologies, which should result in various benefits e.g., accelerated cargo manipulation.
Advanced cell-based cardiac repair: How to mend a broken heart

__Abstract__ Cardiovascular disease is still the leading cause of death worldwide, accounting for approximately 13 million deaths a year.1 It is estimated that this number will double in the upcoming 15 years due to aging of the population in combination with an increase of risk factors as hypertension, diabetes mellitus, hypercholesterolemia and obesity. Approximately half of the cardiovascular deaths are related to coronary artery diseases.1 Ischemic heart failure (HF) is usually caused by an acute myocardial infarction (AMI). An AMI develops when a coronary artery is occluded, whereupon the myocardium is deprived of nutrients and oxygen, which results in apoptosis of the cardiomyocytes. In the initial phase following an AMI, an inflammatory process occurs to clear the wound from death cell debris and activate reparative pathways.2 This process is followed by the formation of scar tissue. The remaining viable myocardium has to take over the function of the damaged area and compensate for the loss to maintain cardiac output. Eventually the viable myocardium will be unable to do so, whereupon the ventricle dilates, pump function is reduced and the heart starts to fail (figure 1). 3,4 The current treatment strategy for an AMI, which consists of immediate revascularization in combination with optimal pharmacological treatment, has resulted in improved survival, even of severe cases. This increased survival comes at the cost of an increased prevalence of heart failure. Therefore the search for new therapies to limit the damage of an AMI or reverse HF is ongoing. New therapeutic strategies are continuously developed and investigated in preclinical and clinical settings. Stem cell therapy is one the therapeutic strategies that has emerged in the field of clinical cardiology in the past decade.
Right ventricle diastolic function in high-normal and mildly elevated arterial blood pressure -

Introduction: Many studies evaluated left ventricle (LV) function in mildly increased arterial blood pressure, however right ventricle (RV) had received scarce attention due to the complex shape and orientation. The aim of this study was to evaluate RV diastolic dysfunction using pulsed and tissue Doppler echocardiography in never-treated patients with blood pressure (BP) values varying from the optimal to the mild hypertensive range. Materials and Methods: The study group consisted of 57 patients with high-normal and mildly increased arterial BP. Twenty healthy age and sex matched subjects were recruited as controls. Conventional echocardiography was done to study LV dimensions and systolic function. Pulsed Doppler echocardiography was used to measure peak early and late tricuspid diastolic filling velocities. Tissue Doppler imaging was done to determine RV annular velocities. Results: Right ventricle hypertrophy was found in 28% of our patients with newly diagnosed systemic hypertension (n=16). Tricuspid E/A was 1.3 and 0.9 in control and hypertensive groups respectively. Tissue Doppler tricuspid E '/A' was significantly decreased in hypertensive group (0.8 ±0.2 versus1.2 ±0.1 in control, p
Clinical profile and outcome of neonates admitted to the Neonatal Care Unit at a teaching hospital in Lalitpur, Nepal

Background: Neonatal period is a vulnerable time in which the newborn has to adapt to a totally new environment and is susceptible to many problems, which may even be life threatening. It is found that neonatal mortality rate is decreasing in Nepal but at a slower pace than infant and child mortality. In order to improve neonatal outcome, it is crucial to identify the areas where health care can be improved. Objectives: This study was conducted to analyze the spectrum of diseases and outcomes at a level two NICU at a tertiary care teaching hospital. Methods: A descriptive observational study conducted at the neonatal care unit in the Department of Paediatrics at KIST Medical College, Lalitpur, Nepal over one year from 14th of April 2013 to 13th April 2014. Data on age at admission, gender, gestational age, birth weight, initial presenting symptoms at admission, fi nal diagnosis and outcome were collected from in patient records at the hospital record section and analyzed using SPSS 17.0. Results: A total of 279 neonates were studied. The commonest causes of admission were infection (45.9%), followed by respiratory conditions (14.7%), neonatal jaundice (12.5%), perinatal asphyxia (9.3%) and prematurity/ small for gestational age (SGA) (6.5 %). Most of the admissions (62%) were during the fi rst 24 hours of life. The majorities, 89.2%, were term gestation and 10.8% were preterm. Most of the preterm babies were late preterms with gestational ages between 3536 weeks (73% of preterms were late preterms). Total of four mortalities (1.4%) occurred, three of which were due to perinatal asphyxia and one was a Down’s syndrome with overwhelming sepsis. Conclusion: In this study, infections followed by respiratory conditions were the leading causes of admission. Most of the admissions occurred during the fi rst 24 hours of life. This emphasizes the fact that attentiveness during the fi rst day of life, simple measure to prevent infection and early detection and treatment may go a long way in improving neonatal outcome.
Pelvic ring injuries

Pelvic ring injuries exhibit a wide spectrum of severity; at times devastating with potentially serious immediate and long-term consequences. The anatomical and mechanistic basis of the injured pelvis is described. The non-operative and surgical management of pelvic ring disruption in the acute and definitive care settings is discussed. As emphasized here, basic principles, the mechanism of injury and pattern of instability help guide management.
Monitor Productsamenstelling voor zout, verzadigd vet en suiker : RIVM Herformuleringsmonitor 2014

Het zoutgehalte in brood is sinds 2011 met 21 procent gedaald. In kaas is het zoutgehalte met circa 11 procent ook afgenomen ten opzichte van 2011. Het zoutgehalte verschilt echter aanzienlijk per soort kaas. In vleeswaren bedoeld als broodbeleg is het zoutgehalte in 2014 vergelijkbaar met dat van 2011 en 2013. De vleeswarensector heeft volgens afspraak tot in 2015 de tijd het gehalte aan zout en aan verzadigd vet te verlagen. Bewerkte groente en peulvruchten, zoals doperwten of bonen in blik of glas, hebben ook een lager zoutgehalte. Aangezien brood een grote bijdrage levert aan de inname van zout, draagt de daling van het zoutgehalte in deze productcategorie er in belangrijke mate aan bij dat mensen dagelijks minder zout binnenkrijgen. Voor verzadigd vet en suiker verschillen de productsamenstellingen niet. Dit blijkt uit onderzoek van het RIVM. Hierin wordt per productgroep gevolgd wat de gehalten aan zout, suiker en verzadigd vet zijn en hoe deze zich door de jaren heen ontwikkelen. Aanleiding hiervoor is het 'Akkoord Verbetering Productsamenstelling', dat de minister van Volksgezondheid en de brancheorganisaties van de voedingsmiddelenindustrie, retail, horeca en catering begin 2014 getekend hebben. Hierin is afgesproken de gehalten aan zout, (verzadigd) vet en energie (suiker, vet) in voedingsmiddelen stapsgewijs te verlagen. Dit akkoord loopt tot 2020. Voor dit onderzoek worden diverse gegevens gebruikt over de samenstelling van producten: gegevens die fabrikanten en de desbetreffende sectoren aanleverden, en onafhankelijke analyses door de Nederlandse Voedsel en Waren Autoriteit (zout en verzadigd vet). Deze gegevens zijn gecombineerd en vervolgens vergeleken met gegevens uit de publicaties van het Nederlands Voedingsstoffenbestand (NEVO 2011 en 2013). In 2012 is de verandering van de productsamenstelling van voedingsmiddelen voor het eerst op deze manier in kaart gebracht. De 'Herformuleringsmonitor' was toen toegespitst op zout (natrium) en verzadigd vet. Sinds 2014 is dit uitgebreid met suiker (mono- en disachariden). De herformuleringsmonitor wordt uitgevoerd in opdracht van het ministerie van VWS.
Complex intuitionistic fuzzy power aggregation operators and their applications in multicriteria decision‐making

The objective of this manuscript is to present some aggregation operators for aggregating the different complex intuitionistic fuzzy (CIF) sets by considering the dependency between the pairs of its membership degrees. In the existing studies of fuzzy and its extensions, the uncertainties present in the data are handled with the help of degrees of membership that are the subset of real numbers, which may lose some useful information and hence consequently affect the decision results. A modification to these, complex intuitionistic fuzzy set handles the uncertainties with the degrees whose ranges are extended from real subset to the complex subset with unit disc and hence handle the two‐dimensional information in a single set. Thus, motivated by this, we developed some new power aggregation operators, namely, CIF power averaging, CIF weighted power averaging, CIF ordered weighted power averaging, CIF power geometric, CIF weighted power geometric, and CIF ordered weighted power geometric. Also, some of the desirable properties of these are investigated. Further, based on these operators, a multicriteria decision‐making approach is presented under the CIF set environment. An illustrative example related to the selection of the best alternative(s) is considered to demonstrate the efficiency of the proposed approach and is validated it by comparing their results with the several existing approaches results.
Fuzzy Based Analysis for Behavioral Factors (Altruism, Courtesy, Sportsmanship, Civic Virtue, and Conscientiousness) to Investigate Impact of Gender on Organizational Citizenship Behavior (OCB)

This paper aims to investigate impact of employees’ gender on OCB as per the employees’ perception in Jordanian governmental hospitals. A convenient sample of 126 employees working in the three main governmental hospitals in north of Jordan has been taken for the purpose of this study. The collected data includes linguistic terms that suffer from uncertainty which, in turn, cannot be dealt with traditional numerical values. The result prove that gender impact on OCB has shown statistically significant differences at (α=0.05) as far as altruism, courtesy, and civic virtue are concerned; and this variable stands in favor of males with the total score of 0.011%. Similarly, as far as the effect of age factor on OCB is concerned, there have been statistically significant differences at (α=0.05) in relation to courtesy, sportsmanship, and civic virtue with the total score of 0.27%. Finally, the results provide a baseline data for further studies which may contribute more significant in the field of OCB.
The Survival and Destruction of Human Platelets.

This little monograph deals with current concepts of production, survival and destruction of human platelets. Results of the author's own investigative work in these fields comprise the bulk of the material but a comprehensive review of the literature is included. There has been considerable interest in the "fate" of blood platelets in the body of late, with argument focused on the mechanism of platelet destruction, ie, "random" removal due to continued coagulation of blood, or senescence. The author wisely refrains from taking a firm stand because of the limitations of current experimental techniques. The format of the book is that of an outline along the style of a European doctoral thesis which is not conducive to reading. Interest in this volume will be limited largely to investigators in the field of hematology.
SELF-CONFIDENCE AND SATISFACTION AMONG NURSING STUDENTS WITH THE USE OF HIGH FIDELITY SIMULATION AT ARAB AMERICAN UNIVERSITY, PALESTINE

High fidelity simulation practice has now become an important part of the education of nursing students to enhance their clinical skill confidence and satisfaction. To achieve our aim of providing the community with highly skilled nurses, the current study set out to assess the level of self-confidence and satisfaction among nursing students with the use of High Fidelity Simulation at Arab American University of Jenin (AAUJ). The research design was a quantitative, cross-sectional descriptive study, with a total of 440 nursing students who were in year 2, year 3 and year 4 of the BSc program at the Arab American University of Jenin. The AAUJ is the first university to introduce HFS among Palestinian universities. Data was collected using: (a) demographic survey, (b) “Self-Confidence and Satisfaction among nursing students Questionnaire”, created by NLN which consists of 13 items with five points on the Likert scale. Majority of the participants were female (53.6%), ages 21-22(58.6%). Most (50.5%) of the participants were in the second year of study, 48.9% of the total participants were engaged in the adult health nursing specialty course and the majority (58.0) had GPAs between 1.75 and 2.75. This study found that most nursing students were satisfied (80.7%) and self-confident (75.4%) with the simulation-based learning in nursing education. Moreover, we found no statistically significant differences between age, gender, and the total mean score from the questionnaire. However, specialty course and year level returned some difference among the groups (P<0.000). The study’s findings also revealed that high-fidelity simulation improves nursing students’ self-confidence and satisfaction. Given the shortage of clinical settings, simulation can bridge the gap as an effective teaching tool and an innovative pedagogical strategy in Palestine. Future studies might focus on maternity nursing students’ perceptions and experiences regarding high-fidelity simulation due to the restrictions applied to male students’participationin maternity courses. Article DOI: https://dx.doi. org/10.20319/lijhls.2017. 32.1523 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
Gauging the impact of knowledge management practices on organizational performance – a balanced scorecard perspective

Purpose This paper aims to explore knowledge management (KM) literature to understand the relationships among different KM practices and organizational performance (OP) in terms of the four balanced scorecard (BSC) outcomes, i.e. learning and growth, internal process, customer satisfaction and financial performance, as a measure of OP. Design/methodology/approach A systematic review of peer-reviewed journal articles has been carried out of theoretical and empirical articles to understand the linkages between KM practices and OP, accessed mainly through sources, such as ProQuest, EBSCO host, Google Scholar and other e-databases. Measures of OP have also been extracted from the literature and grouped under the four BSC outcomes to gauge the gravity of the effect. An integrated conceptual framework helps to explore the relationship between the said variables. Findings This study provides a conceptual model of the effect of various KM practices on different aspects of OP measured through BSC. It contributes to organizations by helping them understand the importance of integration of the KM efforts to obtain desirable results. It will, for the first time, put the entire organization in perspective and help managers draw a bigger picture to understand the overall effect of KM practices. Research limitations/implications First, the KM practices shortlisted for this research are extensive but the list may not be exhaustive. Second, the model is not empirically proved. Findings of the study would help in creating a roadmap to enhance performance by a successful implementation of KM practices. Originality/value This paper contributes to KM literature by adding the fact that KM practices not only affect learning and growth perspective of an organization but also have far-reaching effects on OP in terms of customer service perspective, internal process perspective and financial perspective.
The Impacts of Video Games on Cognitive Function and Cortisol Levels in Young Female Volunteers

Hamed Aliyaria,b, Hedayat Sahraeib, Marjan Erfanid,c, Elaheh Tekiehb,a Maryam Salehib, Masoomeh Kazemib,*, Mohammad Reza Dalirie, Behroz Minaeif, Hassan Agaeib, Nahid Srahianb, Mohammad Mehdi Hadipourb, Meysam Ronaghib, Asghar Ranjbar Aghdamg aDepartment of Electrical, Biomedical and Mechatronics Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran bNeuroscience Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran cTabriz University of Medical Sciences, Tabriz, Iran dHigher Academic Education Institute of RabRashid, Tabriz, Iran eDepartment of Electrical Engineering, University of Science and Technology, Tehran, Iran fSchool of Computer Engineering, University of Science and Technology, Tehran, Iran gDaj Scientific Research Department, Tehran, Iran
IMPROVING PROFESSIONAL COMPETENCE AND KNOWLEDGE SHARING BASED ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR TOWARD HUMAN RESOURCES PERFORMANCE

This study aims to describe and analyze the effect of organizational citizenship behavior on HR performance with professional commitment and knowledge sharing as an intervening variable. The population used is the total number of employees of local water company (PDAM) Semarang total of them are 569 people, with a total sample of 85 people. The sampling technique is Proportional Random Sampling. The analysis tool is Partial Least Square. Another test result shows that OCB has a positive effect on professional competence. The test proves that OCB and professional competencies have a positive effect on knowledge sharing. Organizational citizenship behavior, professional competence and knowledge sharing have a positive effect on HR performance. The test results show that professional competence is able to be an intervening variable between OCB and knowledge sharing, while professional competence is not able to be an intervening variable between OCB and HR performance. Knowladge sharing is able to be an intervening variable between OCB and HR performance and knowledge sharing can also be an intervening variable between professional competence and HR performance. Keywords: Organizational citizenship behavior, professional commitment and knowledge sharing and performance of Human Resources
A Bayesian Model Committee Approach to Forecasting Global Solar Radiation

This paper proposes to use a rather new modelling approach in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving Average (ARMA) and Neural Network (NN) models are combined to form a model committee. The Bayesian inference is used to affect a probability to each model in the committee. Hence, each model's predictions are weighted by their respective probability. The models are fitted to one year of hourly Global Horizontal Irradiance (GHI) measurements. Another year (the test set) is used for making genuine one hour ahead (h+1) out-of-sample forecast comparisons. The proposed approach is benchmarked against the persistence model. The very first results show an improvement brought by this approach.
Pre- and postaspirated stops in Andalusian Spanish

In this paper, we provide instrumental evidence from an experiment and a spontaneous speech study that, in Andalusian Spanish, /s/ aspiration consistently implies postaspiration in following voiceless stops. In order to explain the occurrence of this sound pattern, we offer a gestural analysis based on the notion of the syllable as a unit of articulatory coordination. Finally, we briefly contrast the Andalusian pattern with parallel sound sequences in other languages and Spanish dialects, and raise the question of an ongoing sound change.