Institution
University of Jordan
Education•Amman, Jordan•
About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.
Papers published on a yearly basis
Papers
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TL;DR: This paper provided sufficient definitions of the concepts of al-Halal and al-Haram in the Arab-Muslim culture, illustrating how they are treated in some bilingual Arabic-English dictionaries since they often tend to be provided with inaccurate, lacking and sometimes simply incorrect definitions.
Abstract: This paper aims at providing sufficient definitions of the concepts of al-Halal and al-Haram in the Arab-Muslim culture, illustrating how they are treated in some bilingual Arabic-English dictionaries since they often tend to be provided with inaccurate, lacking and sometimes simply incorrect definitions. Moreover, the paper investigates how these concepts are linguistically reflected through proverbs, collocations, frequent expressions, and connotations. These concepts are deeply rooted in the Arab-Muslim tradition and history, affecting the Arabs' way of thinking and acting. Therefore, accurate definitions of these concepts may help understand the Arab-Muslim identity that is vaguely or poorly understood by non-speakers of Arabic. Furthermore, to non-speakers of Arabic, these notions are often misunderstood, inadequately explained, and inaccurately translated into other languages.
57 citations
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TL;DR: This paper proposes a modification to the minimum moment approach that is used for resource leveling as presented by Harris and based upon the critical path method, and significantly reduces the calculations so that the number of iterations in each sequence step is equal to thenumber of its noncritical activities as compared to the number in the traditional method.
Abstract: This paper proposes a modification to the minimum moment approach that is used for resource leveling as presented by Harris and based upon the critical path method. The proposed and the traditional methods were developed with the assumption of no activity splitting and a fixed project duration with unlimited availability of resources. The difference between these methods is in the criteria of selecting the activity that has to be shifted from its original position to a better position. This is judged by the change in the statistical moment of the resource histogram before and after such movement. In the proposed method, and for the activities that lie at the same sequence step, the activity that is to be shifted first is selected based upon both the value of its free float (\iS) and the value of its resource rate (\iR). In this way, the calculation of the improvement factor is needed only to determine the extent to which an activity is to be shifted. On the other hand, using the traditional method, the activity with the maximum improvement factor found for each possible day of shifting is selected first. The process is then repeated for all remaining activities using the updated histogram resulting from the shifted activity. The proposed method significantly reduces the calculations so that the number of iterations in each sequence step is equal to the number of its noncritical activities (\in) as compared to (\in!) in the traditional method. In addition, the calculation process using the proposed method is easier—especially for manual computations—than the traditional one. The results were insignificantly different, and in many cases they were identical. In this paper, the traditional and the proposed methods will be presented along with an example problem that was solved using the two methods. It should be noted that neither of the two methods provides the true minimum moment.
57 citations
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TL;DR: There is an appreciable prevalence of herbal use among patients with CKD, dyslipidemia and hypertension in Jordan, and the most common herbal product to be used was Hibiscus sabdariffa.
57 citations
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TL;DR: The most common dyslipidemia in patients with type 2 DM had high LDL-cholesterol and high triglycerides as reported in the literature, and aggressive drug management, education, counseling, and behavioral interventions are recommended.
Abstract: OBJECTIVES
To determine the frequency and patterns of dyslipidemia in patients with type 2 diabetes mellitus (DM) and to estimate the effects of sociodemographic and clinical variables on dyslipidemia.
METHODS
The setting took place in The National Center for Diabetes, Endocrinology and Genetics (NCDEG) at the University of Jordan, Amman, Jordan. The NCDEG is the only referral center in the country; therefore, the patients represent the population in different parts of the country. A cross-sectional design was used. A total of 702 patients with DM from the NCDEG aged > or =20 years were consecutively enrolled between June 2005 and July 2006. Medical record abstraction of sociodemographic, clinical, and laboratory data was performed.
RESULTS
The frequency of hypercholesterolemia was 77.2%, low high-density lipoprotein (HDL) was 83.9%, high low-density lipoprotein (LDL) was 91.5%, and hypertriglyceridemia was 83.1%. Females had greater abnormalities in lipid profiles. High LDL-cholesterol was the most common dyslipidemia in combination (91.5%) and in isolation (12.8%). Gender and hemoglobin A1C (HbA1c) predicted high total cholesterol; age and hypothyroidism predicted low HDL-cholesterol, gender predicted high LDL-cholesterol; and use of beta-blockers predicted high triglycerides.
CONCLUSIONS
Over 90% of patients with type 2 DM had one or more types of dyslipidemia. The most common dyslipidemia in our study was high LDL-cholesterol and high triglycerides as reported in the literature. We recommend aggressive drug management, education, counseling, and behavioral interventions.
57 citations
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TL;DR: In this article, the generalized logistic distribution has been used to model the data with a unimodal density and five estimation procedures have been compared through an extensive numerical simulation, including maximum likelihood estimation of the different parameters.
57 citations
Authors
Showing all 7905 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yousef Khader | 94 | 586 | 111094 |
Crispian Scully | 86 | 917 | 33404 |
Debra K. Moser | 85 | 558 | 27188 |
Pierre Thibault | 77 | 332 | 17741 |
Ali H. Nayfeh | 71 | 618 | 31111 |
Harold S. Margolis | 71 | 199 | 26719 |
Gerrit Hoogenboom | 69 | 560 | 24151 |
Shaher Momani | 64 | 301 | 13680 |
Robert McDonald | 62 | 577 | 17531 |
Kaarle Hämeri | 58 | 175 | 10969 |
James E. Maynard | 56 | 141 | 9158 |
E. Richard Moxon | 54 | 176 | 10395 |
Liam G Heaney | 53 | 234 | 8556 |
Stephen C. Hadler | 52 | 148 | 11458 |
Nicholas H. Oberlies | 52 | 262 | 9683 |