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Neuroprotective effect of liraglutide and memantine in a rat model of Alzheimer’s disease

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Asian Pacific Journal of Tropical Biomedicine 2024年第5期14卷 207-214页

作者： Duaa M.Bakhshwin Foziya W.Alhalabi Mohamad Omar Barasheed ahmed M.Bakhshwin Maha H.Jamal mohammed A.Bazuhair Fatemah O.Kamel Rania M.Magadmi Zoheir A Damanhouri Samar M.Alsaggaf Department of Clinical Pharmacology Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia Hera General Hospital MakkahSaudi Arabia Department of Pathology Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia Department of Clinical Anatomy Faculty of MedicineKing Abdulaziz UniversityJeddahSaudi Arabia

Objective:To assess the effect of memantine combined with liraglutide on aluminum chloride(AlCl_(3))and D-galactose(D-GAL)-induced neurotoxicity in ***:Male Wistar rats were divided into 5 groups of 5 animals each:the positive control,the negative control,the memantine-treated group,the liraglutide-treated group,and the combination group treated with memantine and ***_(3)and D-GAL were used to induce *** tests,brain beta-amyloid protein,and oxidative stress biomarkers were ***:The Morris water maze test indicated an enhanced memory in the combination ***,the combination treatment of liraglutide and memantine resulted in a remarkable reduction in the beta-amyloid protein level in the brain *** inflammation and oxidative stress biomarkers were significantly reduced,and the levels of antioxidant parameters were ***:The combination of liraglutide and memantine exerts neuroprotective effects and enhances memory and cognitive functions in rats with Alzheimer’s disease.

关键词： Alzheimer’s disease Cognitive function Glucagonlike peptide-1 Liraglutide Memantine

Is the Sundarbans of Bangladesh in a State of Pollution?

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Open Journal of Forestry 2024年第1期14卷 19-41页

作者： Mahmood Hossain Chameli Saha Sanjoy Saha Hawlader mohammed Nurul Islam Mushfiq ahmed Tanvir ahmed abdul Halim Farhad Sikder Md. Mutasim Billah Forestry and Wood Technology Discipline Khulna University Khulna Bangladesh Institute for Integrated Studies on the Sundarbans and Coastal Ecosystems (IISSCE) Khulna University Khulna Bangla-desh Ecology Forestry and Biodiversity Division Center for Environmental and Geographic Information Services (CEGIS) Dhaka Bangladesh

The Sundarbans is the world’s most extensive natural mangrove forest and home to various natural resources. The population in the vicinity has increased, causing more dependency on the resources of the Sundarbans. The increasing industrialization, urbanization, aquaculture, intensive agricultural practices, seaports, tourism facilities, and so on in the peripheral areas of the Sundarbans have made significant changes in the surrounding and upstream land uses of the Sundarbans. This situation may have detrimental influences on the ecosystem components of the Sundarbans. Therefore, it is highly demanded to prepare a piece of baseline information or database of different sources of pollution and their present status in the various components of the Sundarbans. This effort helps to identify issues and concerns, determine the key elements of the ecosystem to monitor the level or overall quality of the Sundarbans ecosystem. The present study systematically collects the potential sources of pollution, types, and current levels in the ecosystem components of the Sundarbans using academic databases, libraries, and online resources. Discharge of industrial waste into water, soil and air, heavy metal pollution, use of agrochemicals, oil (refined and crude) pollution, plastic materials from urban areas, and tourism are the major issues and concerns related to the sustainability of the Sundarbans ecosystem. The air quality of the Sundarbans is in good condition with 0 - 50 AQI of Bangladesh. While BOD, COD, TDS, TSS varied from 2.0 to 3.8 mg/L, 21.6 to 416 mg/L, 146.9 to 24,100 mg/L and 54 to 155 mg/L, respectively. Soil EC, organic carbon, total nitrogen, and total phosphorus ranged from 3.01 - 5.82 mS/cm, 1.41% - 2.69%, 0.51 - 1.05 mg/g, and 0.32 - 0.51 mg/g respectively. The air, water and soil quality parameters varied with the sites and seasons and not much at the state of contamination. Indeed, we must pay much attention to the Sundarbans’ air, water and soil quality with

关键词： Ecosystem Mangroves Monitoring Pollution Soil Sundarbans

Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1427-1467页

作者： mohammed abdalsalam Chunlin Li abdelghani Dahou Natalia Kryvinska School of Computer Science and Technology Wuhan University of TechnologyWuhan430070China LDDI Laboratory Faculty of Science and TechnologyUniversity of Ahmed DRAIAAdrar01000Algeria Information Systems Department Faculty of ManagementComenius UniversityBratislava82005Slovakia

One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) havebecome the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management,medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related,initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terroristattacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database(GTD) can influence the accuracy of the model’s classification of terrorist attacks, where each part of the datacan provide vital information to enrich the ability of classifier learning. Each data point in a multiclass taxonomyhas one or more tags attached to it, referred as “related tags.” We applied machine learning classifiers to classifyterrorist attack incidents obtained from the GTD. A transformer-based technique called DistilBERT extracts andlearns contextual features from text attributes to acquiremore information from text data. The extracted contextualfeatures are combined with the “key features” of the dataset and used to perform the final classification. Thestudy explored different experimental setups with various classifiers to evaluate the model’s performance. Theexperimental results show that the proposed framework outperforms the latest techniques for classifying terroristattacks with an accuracy of 98.7% using a combined feature set and extreme gradient boosting classifier.

关键词： Artificial intelligence machine learning natural language processing data analytic DistilBERT feature extraction terrorism classification GTD dataset

The Impact of Simulation Education on Self-Efficacy in Pre-Registration Nursing Students

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Open Journal of Nursing 2024年第1期14卷 51-76页

作者： ahmed A. Hakami Aisha Hussin Rabie Sultan Ghormallah M. Alzahrani Faisal mohammed Alnakhilan Khalid Awaidhalharbi College of Nursing Umm Al-Qura University Makkah Saudi Arabia Al-Noor Specialist Hospital Makkah Saudi Arabia (MOH) Ministry of Health King Fahad Hospital Al Baha Saudi Arabia (MOH) Ministry of Health Eradah Complex Riyadh Saudi Arabia King Salman Medical City Al Madinah Saudi Arabia

This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-efficacy of undergraduate pre-registration nursing students. The second aim of this study is to explore additional outcome variables that were examined in the previous studies. Five electronic databases were searched systematically. These databases were MEDLINE, CINAHL Plus, Scopus, Embase and PsycINFO. The PICO model was employed to identify the search terms, with a thesaurus being used to provide synonyms. Reference lists of relevant articles were examined and hand searches of journals were also undertaken. The quality of each study was assessed using the Simulation Research Rubric (SRR). A total of 11 studies were included. All studies explored the impact of simulation education on undergraduate pre-registration nursing. Six studies explored nursing students’ competence and performance and two papers examined their critical thinking. Problem solving, learning motivation, communication skills and knowledge acquisition were examined once. The majority of studies indicated that simulation training has a positive impact on pre-registration nursing students’ self-efficacy and other outcome variables. Furthermore, the study results indicate that simulation training is more dependable than traditional training, and students were extremely satisfied with the simulation training. However, most of the studies included in this review had several gaps, including study design, sample size and dissimilarities between the scales used. Further research with large samples, reliable and valid instruments, and outcomes measures (such as critical thinking and transferability of skills) is required to provide better insight into the effectiveness of simulation in undergraduate nursing education. .

关键词： Simulation Education Self-Efficacy Pre-Registration Nursing Students Clinical Skills Undergraduate Nursing Education Teaching Techniques Decision-Making

Delayed Grafting as a Valid Technique in Burn Management: Experience from a Burn Unit in Oman

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Modern Plastic Surgery 2024年第1期14卷 9-14页

作者： Taif Alsafy Joe Jacob Anish Thadathil elias ahmed Salah el Din Salim mohammed Ghawas Majid Tariq Saud Albusaidi ahmed Al Jabri Al Anood Al Hadhrami Mutazz Obeid Al Khaldi Moath abdelhamid Shummo Karim Mohamed Haridi Aml Eid Saleh Said Al-Busaidi Department of Plastic and Reconstructive Surgery Sultan Qaboos Hospital Salalah Oman ENT Department Al Nahdha Hospital Muscat Oman Department of Plastic Reconstructive and Craniofacial Surgery Khoula Hospital Muscat Oman

Background: Early excision and grafting has been the preferred method of managing major burns around the world since 1970. Considering the advances in health care and the development of new antibiotics over the past 50 years, delayed grafting as a technique for the management of burns over 15%-20% of total body surface area (TBSA) could have comparable results to that of early excision. This study aims to highlight the outcomes of practicing delayed grafting in burn patients. Methods: A case series analysis was performed of 51 patients who were admitted to the burns unit in Sultan Qaboos Hospital Salalah with over 20% TBSA between January 2014 and December 2019. The patients received prophylactic antibiotics and silver sulphadiazine dressing until the burn eschar had completely separated, followed by grafting. Results: Two patients were lost during the entire duration of the study. The mortality rate was comparable to that of early excision, while the rate of hypertrophic scarring was lower than the range reported by other studies. Conclusion: In the management of patients with over 20% TBSA, delayed grafting after complete separation of eschar is still a valid technique.

关键词： Burns Burn Units Burn Management Delayed Grafting Major Burns Treatment Efficacy

Endoscopic Transcanal Excision of Glomus Tympanicum: A Case Report and Literature Review

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International Journal of Otolaryngology and Head & Neck Surgery 2024年第5期13卷 305-310页

作者： mohammed Atiah Alzahrani Yahia Dhafer Alahmari Ali Jaber Asiry Ibrahem Hamad Erwe Ghada ahmed Bin Abbas Department of Otorhinolaryngology Aseer Central Hospital Abha Saudi Arabia College of Medicine University of King Khalid Abha Saudi Arabia

Glomus tumors are extremely rare tumors that arise from paraganglionic cells, which are derived from neural crest cells. These tumors are benign, slow-growing, locally invasive, and destructive. Glomus tumors are the most common tumor of the middle ear cavity and the second most common tumor of the temporal bone. We present a case of a 49-year-old healthy female who, following diagnostic tools, received surgical intervention resulting in an excellent outcome. Our case report includes a comprehensive analysis of published cases in the literature.

关键词： Glomus Tympanicum Paragangliomas Endoscopic Transcanal

Serum Zinc and Copper Level in Juvenile Idiopathic Arthritis (JIA) Patients and Its Correlation with Disease Duration-A Tertiary Hospital Study

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Open Journal of Rheumatology and Autoimmune Diseases 2024年第2期14卷 60-68页

作者： Mohammad Imnul Islam Mujammel Haque Tanzida Sultana Mousumi ahmed mohammed Mahbubul Islam Kamrul Laila Manik Kumar Talukder Department of Paediatrics Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka Bangladesh

Background: Juvenile Idiopathic Arthritis (JIA) is the most prevalent rheumatic disease in children. It is associated with abnormal levels of serum zinc (Zn) and copper (Cu) as during inflammation serum copper concentration increases and zinc decreases. Objective: To assess the serum Zn and Cu levels in different sub-types of JIA patients and their correlation with the disease duration. Methods: This cross-sectional study was conducted over twelve months at the Pediatric Rheumatology Division, Department of Paediatrics, Bangabandhu Sheikh Mujib Medical University. Sixty-nine JIA cases that fulfilled the International League of Association for Rheumatology (ILAR) criteria were taken as cases and age and sex-matched healthy children were considered as controls. The serum Zn and Cu tests were done using the spectrophotometric method with INDIKO PLUS Drug Analyzer. Data were recorded in a pre-designed questionnaire. Data were checked, verified and analyzed manually where continuous variables were analyzed using unpaired t-test and categorical variables using the ANOVA test. Pearson’s correlation coefficient test was used to see the correlation of serum zinc and copper levels with disease duration. Results: Boys were predominant in both case and control groups, with the majority within the 10 to 16-year-age group. Enthesitis-related arthritis (ERA) was the most common subtype followed by sJIA, Oligo JIA, Poly JIA (RF-) and unclassified subtypes. Disease duration was found less than 12 months in 30.4% of JIA patients. Serum analysis revealed a statistically significant reduction in mean zinc levels and increased copper levels in JIA patients compared to controls. This study observed a negative correlation between serum zinc levels and disease duration, whereas serum copper levels exhibited a positive correlation with disease duration. Conclusion: In conclusion, this study revealed that JIA patients exhibit alterations in serum zinc and copper levels. Serum copper levels s

关键词： Copper Juvenile Idiopathic Arthritis Zinc

Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus

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World Journal of Diabetes 2024年第3期15卷 331-347页

作者： Saleh Fahad Alqifari Omar Alkomi abdullah Esmail Khadijeh Alkhawami Shahd Yousri Mohamad Ayham Muqresh Nawwarah Alharbi abdullah A Khojah ahmed Aljabri abdulrahman Allahham Kousalya Prabahar Hanan Alshareef mohammed Aldhaeefi Tariq Alrasheed Ali Alrabiah Laila A AlBishi Department of Pharmacy Practice Faculty of PharmacyUniversity of TabukTabuk 71491Saudi Arabia Department of Clinical Sciences Sulaiman Alrajhi University-College of MedicineAl Bukayriyah 52726Saudi Arabia Department of Family Medicine Dr.Soliman Fakeeh Hospital DSFHJeddah 21461Saudi Arabia Department of Pharmacy Practice Faculty of PharmacyKing Abdulaziz UniversityJeddah 22252Saudi Arabia Clinical and Administrative Pharmacy Sciences College of PharmacyHoward UniversityWashingtonDC 20059United States Department of Internal Medicine Faculty of MedicineUniversity of TabukTabuk 71491Saudi Arabia Department of Pharmacy Practice Raabe College of PharmacyOhio Northern UniversityOhioOH 45810United States Department of Pediatric Faculty of MedicineUniversity of TabukTabuk 71491Saudi Arabia

Practical guide:Glucagon-like peptide-1 and dual glucosedependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonists in diabetes mellitus common second-line choice after metformin for treating *** considerations can make selecting and switching between different GLP-1 RAs *** study aims to provide a comprehensive guide for the usage of GLP-1 RAs and dual GIP and GLP-1 RAs for the management of T2DM.

关键词： Glucagon-like peptide-1 receptor agonist Diabetes mellitus Metabolic syndrome Dual glucose-dependent insulinotropic polypeptide and glucagon-like peptide-1 receptor agonist Clinical practice Endocrinology

Analysis of BrainMRI: AI-Assisted Healthcare Framework for the Smart Cities

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Intelligent Automation & Soft Computing 2023年第2期35卷 1843-1856页

作者： Walid el-Shafai Randa Ali ahmed Sedik Taha el-Sayed Taha mohammed abd-elnaby Fathi E.abd el-Samie Department electronics and electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of ROBOTICS and Intelligent Machines Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikhEgypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

The use of intelligent machines to work and react like humans is vital in emerging smart ***-aided analysis of complex and huge MRI(Mag-netic Resonance Imaging)scans is very important in healthcare *** AI(Artiﬁcial Intelligence)driven healthcare applications,tumor detection is one of the contemporary researchﬁelds that have become attractive to *** are several modalities of imaging performed on the brain for the pur-pose of tumor *** paper offers a deep learning approach for detecting brain tumors from MR(Magnetic Resonance)images based on changes in the division of the training and testing data and the structure of the CNN(Convolu-tional Neural Network)*** proposed approach is carried out on a brain tumor dataset from the National Centre of Image-Guided Therapy,including about 4700 MRI images of ten brain tumor cases with both normal and abnormal *** dataset is divided into test,and train subsets with a ratio of the training set to the validation set of 70:*** main contribution of this paper is introdu-cing an optimum deep learning structure of CNN *** simulation results are obtained for 50 epochs in the training *** simulation results reveal that the optimum CNN architecture consists of four layers.

关键词： Healthcare smart cities clinical automation CNN machine learning brain tumor medical diagnosis