31 results on '"Ahmed Alomair"'
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2. Investigating Global Stability and Bifurcation in an Ecological Dynamical System.
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Muhammad Salman Khan, Rizwan Niaz, Mohammed Ahmed Alomair, and Mohamed Hussien
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- 2024
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3. Analysis of the Stability and Chaotic Dynamics of an Ecological Model.
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Muhammad Aqib Abbasi, Qamar Din, Olayan Albalawi, Rizwan Niaz, Mohammed Ahmed Alomair, and Abdullah Mohammed Alomair
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- 2024
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4. Exploring Domestic Violence Causes in Saudi Arabia: Factor Analysis Approach.
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Marwan H. Alhelali, Osama Abdulaziz Alamri, Alanazi Talal Abdulrahman, Mohammed Ahmed Alomair, and Basim S. O. Alsaedi
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- 2024
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5. Variance Estimation under Some Transformation for Both Symmetric and Asymmetric Data.
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Umer Daraz, Mohammed Ahmed Alomair, and Olayan Albalawi
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- 2024
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6. New Three Wave and Periodic Solutions for the Nonlinear (2+1)-Dimensional Burgers Equations.
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Waseem Razzaq, Asim Zafar, Abdulaziz Khalid Alsharidi, and Mohammed Ahmed Alomair
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- 2023
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7. Compromised-Imputation and EWMA-Based Memory-Type Mean Estimators Using Quantile Regression.
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Mohammed Ahmed Alomair and Usman Shahzad
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- 2023
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8. Estimation of Hidden Logits Using Several Randomized Response Techniques.
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Asma Halim, Irshad Ahmad Arshad, Abdullah Mohammed Alomair, and Mohammed Ahmed Alomair
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- 2023
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9. UFODMV: Unsupervised Feature Selection for Online Dynamic Multi-Views
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Fawaz Alarfaj, Naif Almusallam, Abdulatif Alabdulatif, Mohammed Ahmed Alomair, Abdulaziz Khalid Alsharidi, and Tarek Moulahi
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Fluid Flow and Transfer Processes ,Process Chemistry and Technology ,General Engineering ,General Materials Science ,Instrumentation ,Computer Science Applications ,dynamic multi-view ,unsupervised feature selection ,model - Abstract
In most machine learning (ML) applications, data that arrive from heterogeneous views (i.e., multiple heterogeneous sources of data) are more likely to provide complementary information than does a single view. Hence, these are known as multi-view data. In real-world applications, such as web clustering, data arrive from diverse groups (i.e., sets of features) and therefore have heterogeneous properties. Each feature group is referred to as a particular view. Although multi-view learning provides complementary information for machine learning algorithms, it results in high dimensionality. However, to reduce the dimensionality, feature selection is an efficient method that can be used to select only the representative features of the views so to reduce the dimensionality. In this paper, an unsupervised feature selection for online dynamic multi-views (UFODMV) is developed, which is a novel and efficient mechanism for the dynamic selection of features from multi-views in an unsupervised stream. UFODMV consists of a clustering-based feature selection mechanism enabling the dynamic selection of representative features and a merging process whereby both features and views are received incrementally in a streamed fashion over time. The experimental evaluation demonstrates that the UFODMV model has the best classification accuracy with values of 20% and 50% compared with well-known single-view and multi-view unsupervised feature selection methods, namely OMVFS, USSSF, and SPEC.
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- 2023
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10. Optical solitons to the beta-fractional density dependent diffusion-reaction model via three different techniques
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Waseem Razzaq, Abdulaziz Khalid Alsharidi, Asim Zafar, and Mohammed Ahmed Alomair
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Statistical and Nonlinear Physics ,Condensed Matter Physics - Abstract
This research is concerned with some modernistic optical solitons of beta-fractional density-dependent diffusion-reaction model. The collected optical solutions can be executed in exposing this model in a prominent form. The obtained results include the trigonometric, hyperbolic trigonometric, rational and exponential functions. Verification of achieved results is also done by using Mathematica tools. Three distinct techniques named as [Formula: see text] function, extended sinh-Gordon equation expansion (EShGEE) and modified extended [Formula: see text] function expansion techniques are employed to protect the results. The achieved results are also illustrated by 2-D, 3-D and contour plots. The gained results can also be fruitful for the development of model in future.
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- 2023
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11. Governance of Endowments in Saudi Public Universities
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Fatima Adel Al-burshaid and Mohammed Ahmed Alomair
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This study aimed to identify the concept of university governance and the concept of university endowment governance and to uncover the most outstanding challenges that face university endowments when implementing governance concepts. To achieve these goals, the study used the descriptive survey approach that relied on interviews as a tool to collect data. The number of respondents reached (20) respondents from (16) Saudi universities in addition to an interview with the vice president of the Private Endowment board, and the study reached several results, the most important of which are: The activation of university-governance endowments including the issuance of legislations that organize university endowment work and achieve the desired objectives of its establishment. The results of the study also revealed a set of existing challenges facing university endowments in Saudi Arabia, and the results included some of the contributions that help in overcoming these challenges. The study recommended emphasizing the role of university-governance endowments and revealing the best practices of governance locally and internationally that lead to the effectiveness of university endowments in Saudi Arabia, and working to encourage community contributions in university endowments, spreading the culture of its programs, and raising awareness of the reality of its governance.
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- 2022
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12. Governance of Endowments in Saudi Public Universities
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Adel Al-burshaid, Fatima, primary and Ahmed Alomair, Mohammed, additional
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- 2022
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13. Microbial dysbiosis in irritable bowel syndrome: A single‐center metagenomic study in Saudi Arabia
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Ibrahim Masoodi, Ahmed Alomair, Khalid Alsayari, Ali S. Alshanqeeti, Adel Alqutub, Abed A Al-Lehibi, and Essam J. Alyamani
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medicine.medical_specialty ,Colonoscopy ,veillonella parvula Actinobacteria ,RC799-869 ,Gemella morbillorum ,Gastroenterology ,Veillonella parvula ,03 medical and health sciences ,0302 clinical medicine ,Collinsella aerofaciens ,Oxalobacter formigenes ,collinsella aerofaciens ,Internal medicine ,medicine ,Irritable bowel syndrome ,irritable bowel syndrome ,Hepatology ,biology ,medicine.diagnostic_test ,business.industry ,gemella morbillorum ,Original Articles ,Diseases of the digestive system. Gastroenterology ,biology.organism_classification ,medicine.disease ,Metagenomics ,030220 oncology & carcinogenesis ,Original Article ,030211 gastroenterology & hepatology ,Sutterella wadsworthensis ,business ,metagenomic study - Abstract
Background The focus of this study was to explore potential differences in colonic mucosal microbiota in irritable bowel syndrome (IBS) patients compared to a control group utilizing a metagenomic study. Methods Mucosal microbiota samples were collected from each IBS patient utilizing jet‐flushing colonic mucosa in unified segments of the colon with distilled water, followed by aspiration, during colonoscopy. All the purified dsDNA was extracted and quantified before metagenomic sequencing using an Illumina platform. An equal number of healthy age‐matched controls were also examined for colonic mucosal microbiota, which were obtained during screening colonoscopies. Results The microbiota data on 50 IBS patients (31 females), with a mean age 43.94 ± 14.50 (range19–65), were analyzed in comparison to 50 controls. Satisfactory DNA samples were subjected to metagenomics study, followed by comprehensive comparative phylogenetic analysis. Metagenomics analysis was carried out, and 3.58G reads were sequenced. Community richness (Chao) and microbial structure in IBS patients were shown to be significantly different from those in the control group. Enrichment of Oxalobacter formigenes, Sutterella wadsworthensis, and Bacteroides pectinophilus was significantly observed in controls, whereas enrichment of Collinsella aerofaciens, Gemella morbillorum, and Veillonella parvula Actinobacteria was observed significantly in the IBS cohort. Conclusion The current study has demonstrated significant differences in the microbiota of IBS patients compared to controls., The current study gives an insight into the microbiota of irritable bowel syndrome (IBS) patients in Saudi Arabia and has identified various significantly present genera in these patients.
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- 2020
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14. Microbial dysbiosis in inflammatory bowel diseases: results of a metagenomic study in Saudi Arabia
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Ibrahim Masoodi, Ali S. Alshanqeeti, Adel Qutub, Khalid Alsayari, Ahmed Alomair, Abed A Al-Lehibi, Essam J. Alyamani, and Shameem Ahmad
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Adult ,Male ,medicine.medical_specialty ,Adolescent ,Endocrinology, Diabetes and Metabolism ,Saudi Arabia ,Gastroenterology ,Cohort Studies ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Crohn Disease ,Internal medicine ,Internal Medicine ,medicine ,Prevotella ,Humans ,Aged ,Nutrition and Dietetics ,biology ,Parvimonas ,business.industry ,Abiotrophia ,Middle Aged ,medicine.disease ,biology.organism_classification ,Parabacteroides ,Ulcerative colitis ,Peptostreptococcus ,Gastrointestinal Microbiome ,Fusobacterium ,030220 oncology & carcinogenesis ,Dysbiosis ,Metagenome ,030211 gastroenterology & hepatology ,Colitis, Ulcerative ,Female ,business - Abstract
Background The intestinal microbiota plays an essential role in the pathogenesis of ulcerative colitis (UC)and Crohn disease (CD). Methods Metagenomic studies were used to study microbiota in the diagnosed cases of UC and CD at King Fahad Medical City, Riyadh, Saudi Arabia. Each segment of the colon was flushed with distilled water during colonoscopy, and the material was aspirated, immediately frozen for the study. The patients attending for screening colonoscopies were taken as age-matched healthy controls. The UC patients were followed clinically for any signs of exacerbation relapse, and CD patients were followed for any complications. Results The metagenomic data on 46 (24 females) patients with CD were analyzed along with a group of age and gender-matched controls. Their age ranged from 14 to 65 years, mean age 25.19±10.67 years. There were 50 UC patient (28 females) mean age of 34.42±12.58, and their age ranged from 13-58 years. This study identified enrichment of 19 genera in the control group (Abiotrophia, Anaerofustis, Butyrivibrio, Campylobacter, Catenibacterium, Coprococcus, Dorea, Eubacterium, Facklamia, Klebsiella, Lactococcus, Oscillibacter, Paenibacillus, Parabacteroides, Parasutterella, Porphyromonas, Prevotella, Ruminococcus, Treponema). There was a significant enrichment of 14 genera in our CD cohort (Beggiatoa, Burkholderia, Cyanothece, Enterococcus, Escherichia, Fusobacterium, Jonquetella, Mitsuokella, Parvimonas, Peptostreptococcus, Shigella, Succinatimonas, ThermoanaerobacterVerrucomicrobiales, Vibrio). There was a significant enrichment of 7 genera in UC cohort (Beggiatoa, Burkholderia, Parascardovia, Parvimonas, Pseudoflavonifractor, Thermoanaerobacter, Verrucomicrobiales). Conclusions A significant dysbiosis was found in UC and CD patients compared to controls.
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- 2019
15. Colonic Mucosal Microbiota in Colorectal Cancer: A Single-Center Metagenomic Study in Saudi Arabia
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Musaad A. Altammami, Abed A Al-Lehibi, Essam J. Alyamani, Ibrahim Masoodi, Ali S. Alshanqeeti, Khalid Alsayari, Adel Qutub, and Ahmed Alomair
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0301 basic medicine ,medicine.medical_specialty ,Article Subject ,Anemia ,Colorectal cancer ,Colonoscopy ,Single Center ,Gastroenterology ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Carcinoma ,lcsh:RC799-869 ,Hepatology ,biology ,medicine.diagnostic_test ,business.industry ,Transverse colon ,biology.organism_classification ,medicine.disease ,030104 developmental biology ,Fusobacterium ,030220 oncology & carcinogenesis ,lcsh:Diseases of the digestive system. Gastroenterology ,Bacteroides fragilis ,business ,Research Article - Abstract
Background and Aim. Because genetic and geographic variations in intestinal microbiota are known to exist, the focus of this study was to establish an estimation of microbiota in colorectal cancer (CRC) patients in Saudi Arabia by means of metagenomic studies.Methods. From July 2010 to November 2012, colorectal cancer patients attending our hospital were enrolled for the metagenomic studies. All underwent clinical, endoscopic, and histological assessment. Mucosal microbiota samples were collected from each patient by jet-flushing colonic mucosa with distilled water at unified segments of the colon, followed by aspiration, during colonoscopy. Total purified dsDNA was extracted and quantified prior to metagenomic sequencing using an Illumina platform. Satisfactory DNA samples (n=29) were subjected to metagenomics studies, followed by comprehensive comparative phylogenetic analysis. An equal number of healthy age-matched controls were also examined for colonic mucosal microbiota.Results. Metagenomics data on 29 patients (14 females) in the age range 38–77 years were analyzed. The majority 11 (37%) of our patients were overweight (BMI = 25–30). Rectal bleeding was the presenting symptom in 18/29 (62%), while symptomatic anemia was the presenting symptom in 11/29 (37%). The location of colon cancer was rectal in 14 (48%), while cecal growth was observed in 8 (27%). Hepatic flexure growth was found in 1 (3%), descending colonic growth was found in 2 (6%), and 4 (13%) patients had transverse colon growth. The metagenomics analysis was carried out, and a total of 3.58G reads were sequenced, and about 321.91G data were used in the analysis. This study identified 11 genera specific to colorectal cancer patients when compared to genera in the control group.Bacteroides fragilisandFusobacteriumwere found to be significantly prevalent in the carcinoma group when compared to the control group.Conclusion. The current study has given an insight into the microbiota of colorectal cancer patients in Saudi Arabia and has identified various genera significantly present in these patients when compared to those of the control group.
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- 2018
16. Case Study: Application of On-Off Adaptive ICDs with Inner Sliding Sleeves in a Horizontal Well in Saudi Arabia using 2 3/8-in Coiled Tubing (Russian)
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Alexey Anopov, Ahmed Alomair, Mohammed A. Aseeri, Danish Ahmed, and Nestor Molero
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020401 chemical engineering ,02 engineering and technology ,0204 chemical engineering ,010502 geochemistry & geophysics ,01 natural sciences ,0105 earth and related environmental sciences - Published
- 2017
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17. Mantle cell lymphoma of the colon with massive splenomegaly: A case report
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Ahmed Alomair, Mussa A Faggeeh, and Ibrahim Masoodi
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Pathology ,medicine.medical_specialty ,Biopsy ,Massive splenomegaly ,Colonoscopy ,Lymphoma, Mantle-Cell ,Severity of Illness Index ,Endoscopy, Gastrointestinal ,Diagnosis, Differential ,Bone Marrow ,Humans ,Medicine ,Aged ,medicine.diagnostic_test ,business.industry ,Gastroenterology ,medicine.disease ,Natural history ,Microscopic disease ,Colonic Neoplasms ,Splenomegaly ,Female ,Mantle cell lymphoma ,Tomography, X-Ray Computed ,business ,Follow-Up Studies - Abstract
We describe colonoscopic features in a 77-year-old female with relapse of mantle cell lymphoma, who presented with a history of rectal bleeding of 2 months’ duration. Her initial colonoscopy 3 years prior to the current presentation had revealed no gross lesions of mantle cell lymphoma; however, there was evidence of microscopic disease at that time as well. The patient had now developed classical lesions following relapse of the disease. The present case report gives the natural history of this rare tumour. The comparative colonoscopic features with a brief review of mantle cell lymphoma are presented.
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- 2011
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18. A systematic review of hepatitis C virus epidemiology in Asia, Australia and Egypt
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Kazuhiko Koike, Deepak Amarapurkar, Teerha Piratvisuth, Ala I. Sharara, Ezzat Ali Ahmed, Gamal Esmat, Chien-Hung Chen, Richard Guan, Angela Largen, Ayman A. Abdo, Ali Monis, Ajit Sood, Ibrahim Altraif, Kendra A. Young, Francesco Negro, Xiaoguang Dou, Sherif Mogawer, Carolyn Wallace, Geoff McCaughan, Mohamed elShazly, Hisham El Khayat, Scott Sibbel, Kwang Hyub Han, William Sievert, Faisal M. Sanai, Homie Razavi, Dong Jin Suh, Ahmed Alomair, and Arif Nawaz
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medicine.medical_specialty ,Middle East ,Hepatology ,business.industry ,Public health ,Prevalence ,Hepatitis C ,medicine.disease ,Southeast asian ,Environmental protection ,Epidemiology ,Pandemic ,Medicine ,business ,Socioeconomics ,Disease burden - Abstract
Background: The hepatitis C pandemic has been systematically studied and characterized in North America and Europe, but this important public health problem has not received equivalent attention in other regions. Aim: The objective of this systematic review was to characterize hepatitis C virus (HCV) epidemiology in selected countries of Asia, Australia and Egypt, i.e. in a geographical area inhabited by over 40% of the global population. Methodology: Data references were identified through indexed journals and non-indexed sources. In this work, 7770 articles were reviewed and 690 were selected based on their relevance. Results: We estimated that 49.3‐64.0 million adults in Asia, Australia and Egypt are anti-HCV positive. China alone has more HCV infections than all of Europe or the Americas. While most countries had prevalence rates from 1 to 2% we documented several with relatively high prevalence rates, including Egypt (15%), Pakistan (4.7%) and Taiwan (4.4%). Nosocomial infection, blood transfusion (before screening) and injection drug use were identified as common risk factors in the region. Genotype 1 was common in Australia, China, Taiwan and other countries in North Asia, while genotype 6 was found in Vietnam and other Southeast Asian countries. In India and Pakistan genotype 3 was predominant, while genotype 4w as found in Middle Eastern countries such as Egypt, Saudi Arabia and Syria. Conclusion: We recommend implementation of surveillance systems to guide effective public health policy that may lead to the eventual curtailment of the spread of this pandemic infection.
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- 2011
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19. Fish bone migration: an unusual cause of liver abscess
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Adel Alqutub, Shameem Ahmad, Ibrahim Masoodi, Abdulla Almtawa, Salman Khan, Khalid Al Mohaimeed, Ahmed Alomair, and Khalid Alsayari
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Male ,medicine.medical_specialty ,Abdominal pain ,Article ,Bone and Bones ,Diagnosis, Differential ,Liver disease ,Foreign-Body Migration ,medicine ,Animals ,Humans ,Fish bone ,Pyogenic liver abscess ,business.industry ,Fishes ,General Medicine ,Middle Aged ,medicine.disease ,Surgery ,medicine.anatomical_structure ,Liver Abscess, Pyogenic ,Abdomen ,Differential diagnosis ,Foreign body ,medicine.symptom ,Tomography, X-Ray Computed ,business ,Liver abscess - Abstract
Treating a pyogenic liver abscess is a therapeutic challenge when a patient presents with atypical symptoms. One of the rare causes of treatment failure of these abscesses is the unrecognised migration of a foreign body from the gastrointestinal tract. The authors describe a pyogenic liver abscess in a 45-year-old male who presented with a 10 day history of fever, and abdominal pain. A CT scan of the abdomen revealed a needle-like foreign body in the liver. At operation a 2.5 cm fish bone was extracted from the liver. Subsequently, his feverish symptoms disappeared, and he has remained well in the ensuing 3 month postoperative period. Fish bone-induced liver abscess is discussed in this brief report.
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- 2012
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20. Bee sting therapy-induced hepatotoxicity: A case report
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Ahmed Alomair, Ibrahim Masoodi, Khalid Alsayari, and Adel Alqutub
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medicine.medical_specialty ,Hepatology ,business.industry ,Multiple sclerosis ,fungi ,food and beverages ,Poison control ,Case Report ,Jaundice ,medicine.disease ,Bee stings ,Dermatology ,Surgery ,Apitherapy ,Sting ,Toxicity ,medicine ,Myocardial infarction ,medicine.symptom ,business - Abstract
The use of bee venom as a therapeutic agent for the relief of joint pains dates back to Hippocrates, and references to the treatment can be found in ancient Egyptian and Greek medical writings as well. Also known as apitherapy, the technique is widely used in Eastern Europe, Asia, and South America. The beneficial effects of bee stings can be attributed to mellitinin, an anti-inflammatory agent, known to be hundred times stronger than cortisone. Unfortunately, certain substances in the bee venom trigger allergic reactions which can be life threatening in a sensitized individual. Multiple stings are known to cause hemolysis, kidney injury, hepatotoxicity and myocardial infarction. The toxicity can be immediate or can manifest itself only weeks after the exposure. We describe hepatotoxicity in a 35-year-old female, following bee sting therapy for multiple sclerosis. She presented to our clinic 3 wk after therapy with a history of progressive jaundice. The patient subsequently improved, and has been attending our clinic now for the last 9 mo.
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- 2011
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21. Coexisting Thyroglossal Duct Cyst with Papillary Thyroid Cancer: A Case Report and Literature Review
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Abdullah A. Alarfaj, Ahmed Zekri, Ibrahim Alyaeesh, Ahmed Alomairin, and Abdulrahman Al Naim
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Otorhinolaryngology ,RF1-547 - Abstract
Thyroglossal duct cysts (TGDCs) are common developmental anomalies in which the thyroglossal duct is not obliterated. Coexisting papillary thyroid cancer and TGDC are uncommon and should be investigated thoroughly to rule out TGDC carcinoma. We report a rare case of coexisting papillary thyroid cancer and TGDC in a 48-year-old man, who presented with a history of recurrent mild painful midline neck swelling, and ultrasound (US) revealed a TGDC that was subsequently managed conservatively. On follow-up after 1.6 years, a thyroid US and a fine-needle aspiration (FNA) biopsy were performed, which showed malignant papillary thyroid carcinoma. Total thyroidectomy, the Sistrunk procedure, and central neck dissection were implemented. After three days, the patient was discharged on 150 mg of levothyroxine. Follow-up was unremarkable with no complications. The authors would like to stress the importance of regular TGDC and thyroid gland follow-ups for early detection and diagnosis of thyroid malignancy via clinical examination and US.
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- 2021
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22. Improved modified estimator for estimation of median using auxiliary information under simple random sampling
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Sohaib Ahmad, Saadia Masood, Abdullah Mohammed Alomair, and Mohammed Ahmed Alomair
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Median estimation ,Auxiliary information ,Simulation ,Mean square error ,Efficiency ,Medicine ,Science - Abstract
Abstract This article aims to suggest an improved estimator for estimation of population median using auxiliary information under simple random sampling. The expression for the bias and mean square error are obtained up to first order approximation. We determine the MLE of the optimal values of the describing scalars. The proficiency of the suggested estimator is evaluated in comparison to the preliminary estimators using the MSE threshold. The suggested estimators are compared numerically to the ones that are currently studied in this study. The performance and novelty of the estimators was evaluated using real data sets and a simulation study. To check the efficiency of estimators empirical and theoretical study has been studied. Based on numerical result it is to be noted that our suggested estimator is more efficient as compared to existing estimators which is considered in this article in terms of least MSE and greater PRE.
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- 2024
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23. On the oscillation of fourth-order canonical differential equation with several delays
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Mohammed Ahmed Alomair and Ali Muhib
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canonical form ,fourth-order ,oscillation criteria ,Mathematics ,QA1-939 - Abstract
This study is concerned with investigating the oscillatory properties of a general class of neutral differential equations. Neutral equations are characterized by being rich in both practical and theoretical aspects. We obtain criteria that guarantee the oscillation of solutions to a fourth-order neutral differential equation with multiple delays. Considering the canonical case, we obtain some new relations and inequalities that help in obtaining improved criteria. We use the reduction method to relate the oscillation of the studied equation to a first-order equation. We apply the results to a special case. Through this application, we evaluated the efficiency of the new results in the oscillation test compared to previous results in the literature.
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- 2024
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24. New Techniques for Estimating Finite Population Variance Using Ranks of Auxiliary Variable in Two-Stage Sampling
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Umer Daraz, Mohammed Ahmed Alomair, Olayan Albalawi, and Abdulaziz S. Al Naim
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exponential estimator ,variance estimation ,extreme values ,ranks ,MSE ,PRE ,Mathematics ,QA1-939 - Abstract
This article presents a new set of estimators designed to estimate the finite population variance of a study variable in two-phase sampling. These estimators utilize the information about extreme values and ranks of an auxiliary variable. Through a first-order approximation, we investigate the properties of these estimators, including biases and mean squared errors (MSEs). Furthermore, a comprehensive simulation study is conducted to assess their performance and validate our theoretical insights. Results demonstrate that our proposed class of estimators performs better in terms of percent relative efficiency (PRE) across various simulation scenarios compared to existing estimators. In addition, in the application section, we utilize three data sets to further validate the performance of our proposed estimators against conventional unbiased variance estimators, ratio and regression estimators, as well as other existing methods.
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- 2024
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25. Dual Transformation of Auxiliary Variables by Using Outliers in Stratified Random Sampling
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Mohammed Ahmed Alomair and Umer Daraz
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auxiliary information ,study variable ,minimum and maximum values ,ranks ,mean squared error ,percent relative efficiency ,Mathematics ,QA1-939 - Abstract
To estimate the finite population variance of the study variable, this paper proposes an improved class of efficient estimators using different transformations. When both the minimum and maximum values of the auxiliary variable are known and the ranks of the auxiliary variable are associated with the study variable, these estimators are particularly useful. Therefore, the precision of the estimators can be effectively improved through the utilization of these rankings. We examine the properties of the proposed class of estimators, including bias and mean squared error (MSE), using a first-order approximation through a stratified random sampling method. To determine the performances and validate the findings mathematically, a simulation study is carried out. Based on the results, the proposed class of estimators performs better in terms of the mean squared error (MSE) and percent relative efficiency (PRE) as compared to other estimators in all scenarios. Furthermore, in order to prove that the performances of the improved class of estimators are better than those of the existing estimators, three data sets are examined in the application section.
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- 2024
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26. Hybrid class of robust type estimators for variance estimation using mean and variance of auxiliary variable
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Mohammed Ahmed Alomair and Syed Aflake Hussain Shah Gardazi
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Auxiliary information ,Robust measures ,Study variable ,Variance estimation ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
This study is completed for the estimation of unknown population variance for the variable of mean and variance of interest. To accomplish this task, a new generalized class of robust kind of variance estimators proposed utilizing known descriptives of auxiliary variable, for example, Mid-range, Hodges-Lehmann Mean, Tri-mean, deciles mean, coefficient of skewness, interquartile range, first quartile, coefficient of kurtosis, semi-interquartile average, inter decile range and Mean, etc. These conventional measures of auxiliary variable improve the accuracy of the suggested class under simple random sampling without replacement (SRSWOR) scheme. The properties such as the bias, mean square errors (MSE), and least MSE of the suggested class are derived up to first order of approximation. The superiority conditions of the developed class of estimators over existing estimators are also made out theoretically. Finally, numerical representation is also completed for the motivations behind the article. The usual variance estimator is considered as a benchmark for comparing all considered estimators in numerical illustration. The results have been indicated that the suggested class is performing better than the usual variance estimator and all other thoughts about existing estimators.
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- 2024
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27. Enhanced exponential ratio-cum-ratio estimator in ranked set sampling using transformed auxiliary information
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Lakhkar Khan, Sohaib Ahmad, Abdullah Mohammed Alomair, and Mohammed Ahmed Alomair
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Ratio estimator ,Exponential estimator ,Transformed auxiliary variables ,MSE ,PRE ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Estimation of population mean is a determined subject issue in sampling surveys and many efforts have been paid by various researchers to enhance the precision of the estimates by utilizing the correlated auxiliary information. In connection with this, we suggest an improved exponential ratio-cum-ratio estimator using transformed auxiliary variables under ranked set sampling scheme. Theoretical comparison between estimators is made in terms of mean square errors (MSEs), percentage relative efficiencies (PREs), and percentage relative root mean squared error (PRRMSE). The numerical expression for the bias and MSE of the suggested estimator is derived up to first order of approximation. Based on the results of actual data sets and a simulation study, it is found that the suggested estimator perform well as compared to its existing counterparts.
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- 2024
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28. Analysis of Truncated M-Fractional Mathematical and Physical (2+1)-Dimensional Nonlinear Kadomtsev–Petviashvili-Modified Equal-Width Model
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Mohammed Ahmed Alomair and Moin-ud-Din Junjua
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nonlinear Kadomtsev–Petviashvili-modified equal-width equation ,fractional derivative ,analytical methods ,exact wave solitons ,Thermodynamics ,QC310.15-319 ,Mathematics ,QA1-939 ,Analysis ,QA299.6-433 - Abstract
This study focuses on the mathematical and physical analysis of a truncated M-fractional (2+1)-dimensional nonlinear Kadomtsev–Petviashvili-modified equal-width model. The distinct types of the exact wave solitons of an important real-world equation called the truncated M-fractional (2+1)-dimensional nonlinear Kadomtsev–Petviashvili-modified equal-width (KP-mEW) model are achieved. This model is used to explain ocean waves, matter-wave pulses, waves in ferromagnetic media, and long-wavelength water waves. The diverse patterns of waves on the oceans are yielded by the Kadomtsev–Petviashvili-modified equal-width (KP-mEW) equation. We obtain kink-, bright-, and periodic-type soliton solutions by using the expa function and modified extended tanh function methods. The solutions are more valuable than the existing results due to the use of a truncated M-fractional derivative. These solutions may be useful in different areas of science and engineering. The methods applied are simple and useful.
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- 2024
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29. On the development of new cosine-based probabilistic methods with applications to univariate and bivariate analyses of the wind speed energy
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Badr Alnssyan and Mohammed Ahmed Alomair
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Weibull distribution ,Cosine function ,Univariate and bivariate distributions ,Wind speed ,Energy ,Statistical modeling ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
So far in the literature, a number of probability distributions have been successfully implemented for analyzing the wind speed and energy data sets. However, there is no published work on modeling and analyzing the wind speed and energy data sets with probability distributions that are introduced using trigonometric functions. In the existing literature, there is also a lack of studies on implementing the bivariate trigonometric-based probability distributions for modeling the wind speed and energy data sets. In this paper, we take up a meaningful effort to cover these interesting research gaps. Thus, we first incorporate a cosine function and introduce a new univariate probability distributional method, namely, a univariate modified cosine-G (UMC-G) family. Using the UMC-G method, a new probability distribution called a univariate modified cosine-Weibull (UMC-Weibull) distribution is studied. We apply the UMC-Weibull distribution for analyzing the wind energy data set taken from the weather station at Sotavento Galicia, Spain. Furthermore, we also introduce a bivariate version of the UMC-G method using the Farlie–Gumble–Morgenstern copula approach. The proposed bivariate distributional method is called a bivariate modified cosine-G (BMC-G) family. A special member of the BMC-G distributions called a bivariate modified cosine-Weibull (BMC-Weibull) distribution is introduced. We apply the BMC-Weibull distribution for analyzing the bivariate data set representing the wind speed and energy taken from the weather station at Sotavento Galicia. Using different statistical tools, we observe that the UMC-Weibull and BMC-Weibull are the best-suited models for analyzing the wind speed and energy data sets.
- Published
- 2023
- Full Text
- View/download PDF
30. A new modification of the flexible Weibull distribution based on power transformation: Monte Carlo simulation and applications
- Author
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Faridoon Khan, Zubair Ahmad, Saima K. Khosa, Mohammed Ahmed Alomair, Abdullah Mohammed Alomair, and Abdulaziz khalid Alsharidi
- Subjects
Weibull distribution ,Flexible Weibull distribution ,Beta power transformation ,Estimation ,Simulation ,Failure times data ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Statistical modeling is a crucial phase for decision-making and predicting future events. Data arising from engineering-related fields have most often complex structures whose failure rate possesses mixed state behaviors (i.e., non-monotonic shapes). For the data sets whose failure rates are in the mixed state, the utilization of the traditional probability models is not a suitable choice. Therefore, searching for more flexible probability models that are capable of adequately describing the mixed state failure data sets is an interesting research topic for researchers. In this paper, we propose and study a new statistical model to achieve the above goal. The proposed model is called a new beta power very flexible Weibull distribution and is capable of capturing five different patterns of the failure rate such as uni-modal, decreasing-increasing-decreasing, bathtub, decreasing, increasing-decreasing-increasing shapes. The estimators of the new beta power very flexible Weibull distribution are obtained using the maximum likelihood method. The evaluation of the estimators is assessed by conducting a simulation study. Finally, the usefulness and applicability of the new beta power very flexible Weibull distribution are shown by analyzing two engineering data sets. Using four information criteria, it is observed that the new beta power very flexible Weibull distribution is the best-suited model for dealing with failure times data sets.
- Published
- 2023
- Full Text
- View/download PDF
31. Ratio-Type Estimator for Estimating the Neutrosophic Population Mean in Simple Random Sampling under Intuitionistic Fuzzy Cost Function
- Author
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Atta Ullah, Javid Shabbir, Abdullah Mohammed Alomair, and Mohammed Ahmed Alomair
- Subjects
survey sampling ,fuzzy cost function ,neutrosophic statistics ,sample size ,mean estimation ,Mathematics ,QA1-939 - Abstract
Survey sampling has a wide range of applications in biomedical, meteorological, stock exchange, marketing, and agricultural research based on data collected through sample surveys or experimentation. The collected set of information may have a fuzzy nature, be indeterminate, and be summarized by a fuzzy number rather than a crisp value. The neutrosophic statistics, a generalization of fuzzy statistics and classical statistics, deals with the data that have some degree of indeterminacy, imprecision, and fuzziness. In this article, we introduce a fuzzy decision-making approach for deciding a sample size under a fuzzy measurement cost modeled by an intuitionistic fuzzy cost function. Our research introduces neutrosophic ratio-type estimators for estimating the population mean of the neutrosophic study variable YN∈[YL,YU] utilizing all the indeterminate values of the neutrosophic auxiliary variable XN∈[XL,XU] rather than only the extreme values XL and XU. Three simulation studies are carried out to explain the proposed methods of parameter estimation, sample size determination, and efficiency comparison. The results reveal that the proposed neutrosophic class of estimators produces more accurate and precise estimates of the neutrosophic population mean than the existing neutrosophic estimators in simple random sampling, which is the ultimate goal of inferential statistics.
- Published
- 2023
- Full Text
- View/download PDF
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