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Article ; Online: The Integration between Linguistics, Humanities, and Social Sciences in Highlighting the Guidance of the Quranic Stories in Combating Hate Speech

تجسير, Vol 3, Iss

2021 Volume 1

Abstract: Preachers' methods increasingly have little influence in limiting the spread of hate speech in social networks and other media platforms. This research discusses the possibility of benefiting from the epistemological theories presented in pragmatics ... ...

Abstract	Preachers' methods increasingly have little influence in limiting the spread of hate speech in social networks and other media platforms. This research discusses the possibility of benefiting from the epistemological theories presented in pragmatics linguistics, namely Paul Grice's Cooperation Principle. I begin by justifying the accuracy of that uses; then, I trace its presence in the prophets' speech utilizing a set of inductive, deductive, and descriptive methods. The research shows the presence of the cooperation principle in the deliberative discourse of prophets. Additionally, it proves that their violation of this principle was to serve the purposes of certain dialogues, all to facilitate communicating the main issues and reducing the motives of hate speech. The research recommends taking advantage of the linguistic tools of modern linguistic studies to approach religious texts from new innovative aspects, without being captive to its theories, nor making it a standard for critiquing fundamental religious texts, and taking into account the holiness of the Quran.
Keywords	Quranic stories ; Linguistics ; Paul Grice ; The Cooperation Principle ; Dialogue ; Hate speech ; Social Sciences ; H ; General Works ; A
Subject code	410
Language	Arabic
Publishing date	2021-08-01T00:00:00Z
Publisher	Qatar University Press
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Determining an effective short term COVID-19 prediction model in ASEAN countries

Omar Sharif / Md Zobaer Hasan / Azizur Rahman

Scientific Reports, Vol 12, Iss 1, Pp 1-

2022 Volume 11

Abstract: Abstract The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of ... ...

Abstract	Abstract The challenge of accurately short-term forecasting demand is due to model selection and the nature of data trends. In this study, the prediction model was determined based on data patterns (trend data without seasonality) and the accuracy of prediction measurement. The cumulative number of COVID-19 affected people in some ASEAN countries had been collected from the Worldometers database. Three models [Holt’s method, Wright’s modified Holt’s method, and unreplicated linear functional relationship model (ULFR)] had been utilized to identify an efficient model for short-time prediction. Moreover, different smoothing parameters had been tested to find the best combination of the smoothing parameter. Nevertheless, using the day-to-day reported cumulative case data and 3-days and 7-days in advance forecasts of cumulative data. As there was no missing data, Holt’s method and Wright’s modified Holt’s method showed the same result. The text-only result corresponds to the consequences of the models discussed here, where the smoothing parameters (SP) were roughly estimated as a function of forecasting the number of affected people due to COVID-19. Additionally, the different combinations of SP showed diverse, accurate prediction results depending on data volume. Only 1-day forecasting illustrated the most efficient prediction days (1 day, 3 days, 7 days), which was validated by the Nash–Sutcliffe efficiency (NSE) model. The study also validated that ULFR was an efficient forecasting model for the efficient model identifying. Moreover, as a substitute for the traditional R-squared, the study applied NSE and R-squared (ULFR) for model selection. Finally, the result depicted that the prediction ability of ULFR was superior to Holt’s when it is compared to the actual data.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Common Risk Factors of Myocardial Infarction and Some Socio Demographic Characteristics in Sulaimani City

Bayan Omar Sharif / Samir Y. Lafi

Kurdistan Journal of Applied Research, Vol 6, Iss

2022 Volume 2

Abstract: Back ground: Coronary heart disease is one of the vital causes of morbidity and death in Iraq. Socioeconomic status is also affected by coronary heart disease. These risk factors in Sulaimani city of Iraq is remain uncertain. This is a shortage of study ... ...

Abstract	Back ground: Coronary heart disease is one of the vital causes of morbidity and death in Iraq. Socioeconomic status is also affected by coronary heart disease. These risk factors in Sulaimani city of Iraq is remain uncertain. This is a shortage of study of master student. The current study’s main aims were to explore the potential association between several predisposing factors and heart attack in Sulaimani, Iraq, and to some socio demographic in this participant. 165 contributors who were attending to the Cardiac Specialty Hospital, (Coronary Care Unit), and they were definitely diagnosed as having MI participated in the current study between 2015 and 2016; in Sulaimani, Iraq. The study was attentive on exploring the socioeconomic status, lifestyle, family history of heart attack and classical predisposing factors such as (Hypertension, Diabetes Mellitus, smoking cigarette, and dyslipidemia). For collecting the data, the questionnaire was designed according reading literature and books. The tests of Kolmogorov–Smirnov, Pearson and Spearman were used for the current data analysis. The finding: patients at the age of ?61 years was a common group age for myocardial infarction. Sedentary lifestyle (81.8%) and smoking (Ex- passive and current smoking 69.7% was predominance. The prevalence of BMI > 25 was (75.15%). Hypertension accounted (61.2%), dyslipidemia (39.4%), and diabetes (20%) of the subjects. A positive first-degree history of classical MI risk factor of the participants was (54.5%, 39.2% and 28.4%) for hypertension, heart attack and diabetes, respectively. (98.2%) of the selected patients no eating fish. (56.4%, 58.8%) of them were not eating daily fruit and vegetable respectively. Smoking was significant correlation with age, gender, level of education, and marital status (r = 0.34, 0.38, -0.23 and 0.17) respectively) (p value less than 0.05). Conclusions: In Sulaimani city of Iraq the strong predictors of heart attack were included: sedentary lifestyle, high body mass index, positive family history, ...
Keywords	Risk factors ; myocardial infarction ; socioeconomic status ; coronary heart disease ; Sulaimani City-Iraq ; Technology (General) ; T1-995 ; Science ; Q
Subject code	610
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Sulaimani Polytechnic University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Development of a Blockchain-Based On-Demand Lightweight Commodity Delivery System

Onee, Bayezid Al Hossain / Antora, Kaniz Fatema / Rajme, Omar Sharif / Mansoor, Nafees

2023

Abstract: The COVID-19 pandemic has caused a surge in the use of online delivery services, which rely on user-generated content to promote collaborative consumption. Although Online Food Delivery (OFD) is a popular delivery system in Bangladesh, it has yet to ... ...

Abstract	The COVID-19 pandemic has caused a surge in the use of online delivery services, which rely on user-generated content to promote collaborative consumption. Although Online Food Delivery (OFD) is a popular delivery system in Bangladesh, it has yet to ensure item authenticity, especially with the increasing demand for lightweight commodity delivery services across the country. The authenticity of products, involvement of multiple parties, and fair exchange are all challenging aspects of coast-to-coast services. Therefore, it is necessary for the three entities involved in the supply chain transaction - Seller, Carrier, and Buyer - to establish at least two peer-to-peer operations to ensure reliability and efficiency. To address these limitations and meet consumer expectations, the study proposes a framework for a nationwide on-demand marketplace for lightweight commodity items and a delivery system. Furthermore, transaction details are stored in a Blockchain to ensure the transparency and reliability of the proposed system. Comment: Presented at International Conference on. Inventive Communication and Computational Technologies 2023
Keywords	Computer Science - Distributed ; Parallel ; and Cluster Computing ; Computer Science - Cryptography and Security
Publishing date	2023-07-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Transverse colon xanthoma

Sameer Ahmed Ansari / Ejaz Waris / Omar Sharif / Lamma Alghiryafi

Saudi Journal for Health Sciences, Vol 8, Iss 1, Pp 64-

Rare yet important

2019 Volume 66

Abstract: Colonic xanthomas are rare, benign lesions of the gastrointestinal tract characterized by a foamy cell containing lipid in the lamina propria and mucosa. They have been commonly described in the stomach and rectosigmoid region in few case reports. Their ... ...

Abstract	Colonic xanthomas are rare, benign lesions of the gastrointestinal tract characterized by a foamy cell containing lipid in the lamina propria and mucosa. They have been commonly described in the stomach and rectosigmoid region in few case reports. Their association with adenoma and adenocarcinoma had made them a visible indicator of malignancy. Hence, a thorough investigation and follow-up of the patient are mandatory to search for such lesions.
Keywords	Benign ; colon ; polyp ; transverse ; xanthoma ; Medicine ; R
Language	English
Publishing date	2019-01-01T00:00:00Z
Publisher	Wolters Kluwer Medknow Publications
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Detecting Suspicious Texts Using Machine Learning Techniques

Omar Sharif / Mohammed Moshiul Hoque / A. S. M. Kayes / Raza Nowrozy / Iqbal H. Sarker

Applied Sciences, Vol 10, Iss 6527, p

2020 Volume 6527

Abstract: Due to the substantial growth of internet users and its spontaneous access via electronic devices, the amount of electronic contents has been growing enormously in recent years through instant messaging, social networking posts, blogs, online portals and ...

Abstract	Due to the substantial growth of internet users and its spontaneous access via electronic devices, the amount of electronic contents has been growing enormously in recent years through instant messaging, social networking posts, blogs, online portals and other digital platforms. Unfortunately, the misapplication of technologies has increased with this rapid growth of online content, which leads to the rise in suspicious activities. People misuse the web media to disseminate malicious activity, perform the illegal movement, abuse other people, and publicize suspicious contents on the web. The suspicious contents usually available in the form of text, audio, or video, whereas text contents have been used in most of the cases to perform suspicious activities. Thus, one of the most challenging issues for NLP researchers is to develop a system that can identify suspicious text efficiently from the specific contents. In this paper, a Machine Learning (ML)-based classification model is proposed (hereafter called STD) to classify Bengali text into non-suspicious and suspicious categories based on its original contents. A set of ML classifiers with various features has been used on our developed corpus, consisting of 7000 Bengali text documents where 5600 documents used for training and 1400 documents used for testing. The performance of the proposed system is compared with the human baseline and existing ML techniques. The SGD classifier ‘tf-idf’ with the combination of unigram and bigram features are used to achieve the highest accuracy of 84.57%.
Keywords	natural language processing ; suspicious text detection ; Bengali language processing ; machine learning ; text classification ; feature extraction ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	006
Language	English
Publishing date	2020-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Patient’s Information Toward Some Modifiable Risk Factors of Ischemic Heart Disease

Bayan Omar Sharif / Aras Hamad Rasul / Osman Ibrahim Mahmud / Farman Nuri Abdulla

Kurdistan Journal of Applied Research (2020)

2020

Abstract: Ischemic heart disease (IHD), , is the condition of heart problems, caused by narrowed coronary arteries that supply oxygenated blood to the heart muscle. There is a shortage of study of bachelor students. The goal of this research was directed to assess ...

Abstract	Ischemic heart disease (IHD), , is the condition of heart problems, caused by narrowed coronary arteries that supply oxygenated blood to the heart muscle. There is a shortage of study of bachelor students. The goal of this research was directed to assess level of patient’s information toward some modifiable risk factors of IHD at Rania teaching hospital in Kurdistan region of Iraq during the period of (20th October 2019 - 10th February 2020). A non- probability purposive sample of (143) patients; the study instrument was constructed of total (42) items for the purpose of data collection. The content validity of the instrument was determined through a panel of (12) experts. Reliability of the instrument was determined through the use of internal consistency reliability (split half) approach which was estimated as r = (0.83) the data were collected through the use of interview technique (face to face approach), the computer files is used to organizing and coding it. The data analyzed by Statistical approaches which includes: descriptive and inferential statistical and chi- square, data analysis (SPSS version 25). The outcome showed that most of the sample rang from the age (25-40) years and most of them were male from urban, more than half of them were unemployed but nearly half of them were graduated from primary school. 32.2% of them diagnosed by cardiovascular disease. However more than half of them had a high level of information about IHD as a general, and the TV was the first source of their information but more than half of them were overweight, 65% did not do regular exercise, 52.4% were relatively stressful. Also, the study demonstrated that there is no significant association between socio demographic data and level of patient’s information toward some modifiable risk factors of IHD, with age, gender, educational level and occupation with IHD, at p value greater than 0.05. The study recommended to ministry of health and directorate of health in Rania city to develop and supervise the center of dietary ...
Keywords	Ischemic heart disease ; Patients ; Rania Teaching Hospital ; modifiable risk factors ; Technology (General) ; T1-995 ; Science ; Q
Subject code	610
Language	English
Publishing date	2020-12-01T00:00:00Z
Publisher	Sulaimani Polytechnic University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluating the Effect of Bacterial Inoculation and Fertilization on the Soil Nutrient Status of Coal Mine Soil by Growing Soybean ( Glycine max ) and Shrub Lespedeza ( Lespedeza bicolor )

Chang-Seob Shin / Md. Omar Sharif / Hwa-Yong Lee

Sustainability, Vol 10, Iss 12, p

2018 Volume 4793

Abstract: Revegetation with fast-growing N-fixing leguminous plants can be an alternate for reclamation of degraded coal mining areas. Selection of appropriate plant species is an important factor in deciding the success in the remediation of mine spoil. Thus, ... ...

Abstract	Revegetation with fast-growing N-fixing leguminous plants can be an alternate for reclamation of degraded coal mining areas. Selection of appropriate plant species is an important factor in deciding the success in the remediation of mine spoil. Thus, this study was carried out in greenhouse conditions to evaluate the effect of two N-fixing leguminous plant seedlings, soybean ( Glycine max ) and shrub lespedeza ( Lespedeza bicolor ), on the available N and other soil nutrients (P, K, Ca, and Mg) of the experimental coal mine soil. Four treatments, including T 0 —non-fertilized non-inoculation (control), T 1 —fertilization, T 2 —bacterial inoculation, and T 3 —combination of fertilization and bacterial inoculation with three replications were applied to both plants. Concentration of NH 4 + -N and NO 3 − -N increased significantly in the soil at different treatments for both soybean and shrub lespedeza, as compared to control, but apart from control no significant difference was observed between other treatments of increased NH 4 + -N for soybean and increased NO 3 − -N for shrub lespedeza. The highest number of nodules and dry weight of nodule per plant (g) was recorded 5.73 and 1.8, respectively in soybean, and 7.77 and 2.76, respectively, in shrub lespedeza with bacteria-inoculated treatment (T 2 ), whereas fertilized treatment (T 1 ) produced the lowest number of nodule and dry weight of nodule in both plants. Increasing of available P and K was significantly high when NPK fertilizer was applied to the plants but decreased at other treatments. Therefore, it can be concluded that soybean and shrub lespedeza have a significant role in changing soil nutrient status in coal mining soil through fertilizer application and biological N fixation.
Keywords	soybean ; shrub lespedeza ; N fixation ; available N ; coal mine soil ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2018-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Nurses’ Knowledge Regarding FoodDrug Interaction in the Intensive Care and Emergency Hospitals

Samir Y Lafi / Aram Salih Mohammed Amin Kamali / Bayan Omar Sharif

Kurdistan Journal of Applied Research, Vol 4, Iss

2019 Volume 2

Abstract: Usually supplement is essential and fundamental components for ensure and creating the human body, also drugs seem to survey the life of each individual and ensure the wellbeing for a long life aimed most of illness, but in case nourishment sedate ... ...

Abstract	Usually supplement is essential and fundamental components for ensure and creating the human body, also drugs seem to survey the life of each individual and ensure the wellbeing for a long life aimed most of illness, but in case nourishment sedate interaction ignored since of information shortage almost it or any reason maybe lead to futile of medicine for the patients or cause life threatening condition because of that, one of the most significant ethical point in every health care setting in the world is patient's safety; and the care for patients must be improved in every country to prevent complication of interaction between food and drug. The main objective of this cross-sectional study has been conducted to assess the nurses' knowledge regarding food-drug interaction (FDI) at the intensive care in both of Shar and emergency hospitals in the Slemani city, the data were collected during the period of October up to the end of December. Non-probability, (purposive sample) of 78 nurses at both hospitals, a questionnaire was designed according to literatures and books regarding FDI which contained 25 items, 8 items for demographic characteristics, and 17 items concerning FDI. The validity of the questionnaire was given to a panel of 7 experts, a pilot study was carried out to check the reliability of the questionnaire which determined through the use of stability reliability (test-retest) approach which was estimated as r = 0.81. The data were collected through the interviewing of the study sample and analyzed through the using of the Statistical Package for Social Sciences SPSS, version 23, and analyzed through the application of descriptive and inferential statistical analysis. The findings of the present study conclude that more than half of nurses had low knowledge and none of them had high level of knowledge, also there is no significant association between the levels of knowledge with age, gender, educational level, years of experience and working place. The study suggested extends the knowledge of nurses ...
Keywords	Food-Drug Interaction ; knowledge ; Intensive Care Unit ; Shar and Emergency Hospitals ; Technology (General) ; T1-995 ; Science ; Q
Subject code	360
Language	English
Publishing date	2019-10-01T00:00:00Z
Publisher	Sulaimani Polytechnic University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Evaluation of Nurses’ Performance Regarding Personal Protective Equipment at Rania Teaching Hospital

Bayan Omar Sharif / Frishta M. Khdir / Padasht M. Khdir / Sarezh A. Rasul

Kurdistan Journal of Applied Research (2019)

2019

Abstract: Personal protective equipment (PPE) refers to protective clothing that acts as a barrier between infectious materials such as viral, bacterial contaminants and the skin, mouth, nose, eyes and mucous membranes. It includes gloves, mask, eye goggles and ... ...

Abstract	Personal protective equipment (PPE) refers to protective clothing that acts as a barrier between infectious materials such as viral, bacterial contaminants and the skin, mouth, nose, eyes and mucous membranes. It includes gloves, mask, eye goggles and gown. It is a shortage of study of university students. The aim of the current study was performing to provide demographic data and to evaluate nurse’s performance regarding PPE at Rania teaching Hospital in Kurdistan region of Iraq, during the period of 10th October up to 7th of March. A non- probability purposive sample of (72 nurses), data collection of the study instrument was constructed of total (42) items. A professional team that contains of (11) experts were performed validity of the instrument. Reliability of the instrument was determined through the use of Equivalence (inter-rator or inter-observer), the data were collected through the use of evaluation technique then organized and coded into computer files. Statistical approaches were uses for data analyzed, also data analysis by (SPSS version 25). The result has revealed that highest age of the sample was between 30-39 years and most of them were institute nurses and more than half of nurses had less than 10 years of employment but most of them not trained yet. The majority of nurses were performed many nursing procedures such as wound dressing, suturing, suctioning, naso-gastric tube and Foley catheter insertion without using PPE properly and without washing hands before procedures. Also, there was no significant relationship between personal protective equipment and some socio- demographic data. The researchers recommended training course regarding personal protective equipment by the ministry of health/infection control department and participants of symposia.
Keywords	Nurses ; Evaluation ; personal protective equipment ; Rania Teaching Hospital ; Technology (General) ; T1-995 ; Science ; Q
Subject code	150
Language	English
Publishing date	2019-09-01T00:00:00Z
Publisher	Sulaimani Polytechnic University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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