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Open Journal of Endocrine and Metabolic Diseases 2020年第2期10卷 7-17页

作者： mohammed qader meena Department of Medicine College of Medicine Hawler Medical University Erbil Iraq

Background: Differentiating Graves hyperthyroidism from the other causes of hyperthyroidism, using serum TRAb testing is essential step for diagnosis. Objectives: To study importance of TRAb in the diagnosis of Graves’ disease, distinguishing it from thyroiditis, and comparing it with clinical features and other tests such as TPOAb, US thyroid and thyroid scintiscan. Methods: A cross-sectional study was conducted on 120 patients attending endocrine clinicErbil city. Patients were studied on clinical feature basis and investigated with serum TRAb, TPOAb, TSH, Free T4, and Ultrasound examination of thyroid gland. Fisher exact test and Chi Square test of independence, Correlation coefficient and t-test of independence were used. Results: Fifty-two patients were found to have Graves’ disease;There was significant correlation between TRAb positivity and diagnosis of Graves’ disease p 0.05. Conclusion: A positive correlation was found between TRAb titer and positivity and no significant relation between TPOAb levels between Graves’ disease patients compared with thyroiditis patients, respectively.

关键词： Graves’ Disease Thyrotoxicosis Toxic Multinodular Goiter (TMNG) Thyroiditis TSH Receptor Antibodies (TRAb)

A deep learning fusion model for accurate classification of brain tumours in Magnetic Resonance images

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 790-804页

作者： Nechirvan Asaad Zebari Chira Nadheef mohammed Dilovan Asaad Zebari Mazin Abed mohammed Diyar qader Zeebaree Haydar Abdulameer Marhoon Karrar Hameed Abdulkareem Seifedine Kadry Wattana Viriyasitavat Jan Nedoma Radek Martinek Department of Information Technology Lebanese French UniversityErbilIraq Department of Computer Science University of ZakhoZakhoKurdistan RegionIraq Department of Computer Science College of ScienceNawroz UniversityDuhokKurdistan RegionIraq Department of Artificial Intelligence College of Computer Science and Information TechnologyUniversity of AnbarRamadiIraq Department of Telecommunications VSB‐Technical University of OstravaOstravaCzech Republic Department of Cybernetics and Biomedical Engineering VSB‐Technical University of OstravaOstravaCzech Republic Department of Computer Network and Information Security Technical College of Informatics-AkreDuhok Polytechnic UniversityDuhokIraq Information and Communication Technology Research Group Scientific Research CenterAl‐Ayen UniversityThi‐QarIraq College of Computer Sciences and Information Technology University of KerbalaKarbalaIraq College of Agriculture Al‐Muthanna UniversitySamawahIraq Department of Applied Data Science Noroff University CollegeKristiansandNorway Faculty of Commerce and Accountancy Chulalongkorn Business SchoolChulalongkorn UniversityBangkokThailand

Detecting brain tumours is complex due to the natural variation in their location, shape, and intensity in images. While having accurate detection and segmentation of brain tumours would be beneficial, current methods still need to solve this problem despite the numerous available approaches. Precise analysis of Magnetic Resonance Imaging (MRI) is crucial for detecting, segmenting, and classifying brain tumours in medical diagnostics. Magnetic Resonance Imaging is a vital component in medical diagnosis, and it requires precise, efficient, careful, efficient, and reliable image analysis techniques. The authors developed a Deep Learning (DL) fusion model to classify brain tumours reliably. Deep Learning models require large amounts of training data to achieve good results, so the researchers utilised data augmentation techniques to increase the dataset size for training models. VGG16, ResNet50, and convolutional deep belief networks networks extracted deep features from MRI images. Softmax was used as the classifier, and the training set was supplemented with intentionally created MRI images of brain tumours in addition to the genuine ones. The features of two DL models were combined in the proposed model to generate a fusion model, which significantly increased classification accuracy. An openly accessible dataset from the internet was used to test the model's performance, and the experimental results showed that the proposed fusion model achieved a classification accuracy of 98.98%. Finally, the results were compared with existing methods, and the proposed model outperformed them significantly.

关键词： brain tumour deep learning feature fusion model MRI images multi‐classification

Thermodynamic Analysis and Optimization of Flat Plate Solar Collector Using TiO_(2)/Water Nanofluid

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Journal of Harbin Institute of Technology(New Series) 2024年第4期31卷 61-73页

作者： Firas F.qader Falah Z.mohammed Barhm Mohamad Technical Engineering College-Kirkuk Northern Technical UniversityKirkuk 36001Iraq Medical Device Technology Engineering AL-Qalam University CollegeKirkuk 36001Iraq Department of Petroleum Technology Koya Technical InstituteErbil Polytechnic UniversityErbil 44001Iraq

To research solar energy's efficiency and environmental benefits,the thermal efficiency,exergy,and entropy of solar collectors were *** experiment involved two glass-topped collectors,fluid transfer tubes,and aluminum heat-absorbing *** wool insulation minimized heat loss.A 0.5% TiO_(2)/Water nanofluid was created using a mechanical and ultrasonic *** showed that solar radiation increased thermal efficiency until midday,reaching 48.48% for water and 51.23% for the *** increasing mass flow rates from 0.0045 kg/s to 0.02 kg/s,thermal efficiency improved from 16.26% to 47.37% for water and from 20.65% to 48.76% for the *** water provided 380 W and 395 W of energy in March and April,while the nanofluid increased it to 395 W and 415 W during these *** flow generated energy,and the Reynolds number raised *** noon exergy efficiency for nanofluids was 50%-55%,compared to 30% for *** noon,the broken exergy measured 877.53 W for the nanofluid and 880.12 W for *** Kirkuk,Iraq,the 0.5% TiO_(2)/Water nanofluid outperformed water in solar collectors.

关键词： energy exergy entropy generation nanofluid flat plate solar collector

The Impact of Relational Capital on Communication Behavior of Project Manager:A Study of Arab Projects Managers

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The Impact of Relational Capital on Communication Behavior o...

作者： Maroa Ahmed mohammed Abdul qader Shawlaq 山东大学

学位级别：硕士

Relational capital is an intangible asset,which is the value provided by the relationship with stakeholder *** behavior is a vital aspect in all areas of *** conveying ideas and expressing them carefully to someone else so that they can understand and *** is because the value of long-term relationships is very important,the project manager needs to be more skilled,effective and friendly in the matter of communication *** purpose of this study is to reveal the impact of relational capital on the communication behavior of the project *** research problem was identified bythoroughly reviewing the literature and the overall concept of relational capital and communication *** on the identified research gaps in previous research,the study aimed to achieve the following objectives:exploring the types of relationships with customers and the team and frequent use of communication channels,finding out the quality of relationship with customers and team member also,the influence of communication behavior of project managers in term of the communication ***/methodology:The research followed the qualitative method in which 20 cases were selected and through prior appointment sand interviews were *** questions were carefully designed and the interview was successfully *** study results reveal that different values of relational capital exist for the communication *** study also proved that the project managers are trying to focus more accurately on building relationships to using more fruitful way of communicating with *** example,face-to-face communication is more effective than phone calls or any other means of *** of the study:the study also reveals that apersonal relationship with customers and with the team members results in a higher frequency of using type of relationships that use informal communication *** managers also emp

关键词：关系资本项目经理沟通行为

Psychological risk factors associated with falls among elderly people in Baghdad city, Iraq

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Open Journal of Preventive Medicine 2013年第7期3卷 441-445页

作者： mohammed A. Abdal qader Rahmah Mohd. Amin Shamsul Azhar Shah Zaleha Md. Isa Khalib Abdul Latif Hasanain Faisal Ghazi Department of Community Health Universiti Kebangsaan Malaysia Medical Centre Kuala Lumpur Malaysia Department of Community Health Universiti Kebangsaan Malaysia Medical Centre Kuala Lumpur Malaysia Medical and Health Science Faculty Universiti Sultan Zainal Abidin (City Campus) Jalan Sultan Mahmud Kuala Terengganu Malaysia

Background: Ageing of the population is one of the most important demographic facts that come to the foreground in the 21st century. Objective: To assess the relationship between psychological factors (depression, loneliness, using anti anxiety medication, fear from falls and internal displacement of the population) and falls among elderly people in Baghdad city, Iraq. Methods: A matched 1:1 community based case-control study involving 716 elderly respondents, recruited randomly from six Non Governmental Organization (NGO) in different areas of Baghdad. Interviews to each respondent were done accordingly. Geriatric depression scale (GDS) was used to assess the depression among the elderly people. Results: The minimum age for cases and controls was 60 years old while the maximum age for cases was 87 and for controls was 85 years old. The female was predominant than male, 53.6% to 46.4% respectively. The relation between depression, fear from fall, using anti anxiety medication, internal displacement and falls was statistically significant

关键词： Falls Elderly Depression Fear from Fall Baghdad

Checklist of the Birds of the Gaza Strip—Palestine

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Open Journal of Ecology 2023年第3期13卷 155-182页

作者： Abdel Fattah N. Abd Rabou Bashar S. Jarayseh Lara M. Sirdah Mandy M. Sirdah Sinaa A. Ababsa Daoud I. Al-Hali Ayman W. Dardona Ashraf A. Shafei Nedal A. Fayyad Abdallah S. Awad Wael I. Almeshal Samer S. Abuzerr Inas A. Abd Rabou Othman A. Abd Rabou mohammed A. Abd Rabou Sabah A. Abu Sharekh mohammed R. Al-Agha Maged M. Yassin Abed Al qader I. Hammad Norman A. Khalaf Walid F. Mohamed Department of Biology Faculty of Science Islamic University of Gaza Gaza Strip Palestine Environmental Education Center Beit Jala West Bank Palestine Wildlife Documenter and Photographer Gaza Strip Palestine Wildlife Documenter and Photographer Kafr Kanna Galilee Palestine Qimmah Secondary School Jerusalem (Al-Quds) Palestine Environment Quality Authority Gaza Strip Palestine Center for Desert Agriculture King Abdullah University of Science and Technology Thuwal Kingdom of Saudi Arabia Doctoral School of Environmental Sciences E&#246tv&#246s Loránd University Budapest Hungary Department of Medical Sciences University College of Science & Technology Gaza Strip Palestine Department of Nursing and Health Sciences University College of Applied Sciences Gaza Strip Palestine Department of Journalism and Media Islamic University of Gaza Gaza Strip Palestine Department of GIS University College of Applied Sciences Gaza Strip Palestine Department of School Health Ministry of Education and Higher Education Gaza Strip Palestine Department of Environment and Earth Sciences Faculty of Science Islamic University of Gaza Gaza Palestine Faculty of Medicine Islamic University of Gaza Gaza Strip Palestine Department of Geography Al-Aqsa University Gaza Strip Palestine Department of Environmental Research and Media National Research Center Palestine Department of Biological and Geological Sciences Faculty of Education Ain Shams University Roxy Cairo Egypt

Bird fauna checklists are important tools in ecology, biology, and conservation planning for scientists, stakeholders, and decision-makers. Despite its small area, the Gaza Strip (365 km2) has a relatively large variety of resident and migratory bird fauna. Therefore, the current study aimed to provide an updated checklist of all bird fauna living in or inhabiting the Gaza Strip. Direct field observations using binoculars, continuous visits to zoos, pet stores and biology museums, discussion with bird hunters, follow-up of news and social networking sites, review of scientific publications and photography were the main tools to satisfy the purpose of the study. At least 250 bird species collected from different sources occur in the Gaza Strip and are included in the checklist. This list will not be static, but is inevitably subject to additions and changes in the face of times. The current 250 bird species of the Gaza Strip represent 45.4% of the 551 species of birds living in Palestine. The bird species were found to belong to 21 orders and 61 families. The Passeriformes (passerines) represented the largest order with 96 species of birds (38.4%), followed by the Charadriiformes 54 (21.6%), the Accipitriformes 18 (7.2%), Anseriformes 17 (6.8%) and Pelecaniformes 14 (5.6%), while the other orders represented the remaining percentage (20.4%). With regard to families, the Scolopacidae represented the largest family with 22 species of birds (8.8%), followed by the Anatidae and Accipitridae 17 for each (6.8%), the Muscicapidae 16 (6.4%) and Chariidridae and Fringillidae 11 for each (4.4%), while the other families represented the remaining percentage (62.4%). According to the IUCN regional threat categories, 226 species (90.4%) were Least Concern (LC), 12 (4.8%) were Near Threatened (NT), 6 (2.4%) were Vulnerable (VU), 4 (1.6%) were Endangered (EN) and 2 (0.8%) were Critically Endangered (CR). In conclusion, the study recommends a sustainable control of bird h

关键词： Bird Fauna Checklist Bird Hunting Conservation IUCN Categories Gaza Strip