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Reading Loss in Arabic Language During COVID-19 in the UAE and Proposed Solutions:The Perspectives of Primary-Grade Arabic Language Teachers

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Journal of Sociology Study 2024年第2期14卷 107-118页

作者： Karima Almazroui Muhra Albloushi mohamed bin Zayed university for Humanities Abu DhabiUAE

The COVID-19 pandemic caused significant disruptions in the field of education worldwide,including in the United Arab Emirates.Teachers and students had to adapt to remote learning and virtual classrooms,leading to various challenges in maintaining educational standards.The sudden transition to remote teaching could have a negative impact on students’reading abilities,especially in the Arabic language.To gain insight into the unique challenges encountered by Arabic language teachers in the UAE,a survey was conducted to explore their assessment of teaching quality,student-teacher interaction,and learning outcomes amidst the COVID-19 pandemic.The results of the survey revealed a significant decline of student reading abilities and identified several major issues in online Arabic language teaching.These issues included limited interaction between students and teachers,challenges in monitoring students’class participation and performance,and challenges in effectively assessing students’reading skills.The results also demonstrated some other challenges faced by Arabic language teachers,including a lack of preparedness,a lack of subscription to relevant platforms,and a lack of resources for online learning.Several solutions to these challenges are proposed,including reevaluating the balance between depth and breadth in the curriculum,integrating language skills into the curriculum more effectively,providing more comprehensive teacher professional development,implementing student grouping strategies,utilizing retired and expert teachers in specific content areas,allocating time for interventions,and improving support from both teachers and parents to ensure the quality of online learning.

关键词： reading loss Arabic language teachers primary grades online learning United Arab Emirates

Design of Protograph LDPC-Coded MIMO-VLC Systems with Generalized Spatial Modulation

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China Communications 2024年第3期21卷 118-136页

作者： Dai Lin Fang Yi Guan Yongliang Mohsen Guizani School of Information Engineering Guangdong University of TechnologyGuangzhou 51006China The State Key Laboratory of Integrated Services Networks Xidian UniversityXi’an 710126China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore Department of Machine Learning Mohamed Bin Zayed University of Artificial Intelligence(MBZUAI)Abu DhabiUnited Arab Emirates

This paper investigates the bit-interleaved coded generalized spatial modulation(BICGSM) with iterative decoding(BICGSM-ID) for multiple-input multiple-output(MIMO) visible light communications(VLC). In the BICGSM-ID scheme, the information bits conveyed by the signal-domain(SiD) symbols and the spatial-domain(SpD) light emitting diode(LED)-index patterns are coded by a protograph low-density parity-check(P-LDPC) code. Specifically, we propose a signal-domain symbol expanding and re-allocating(SSER) method for constructing a type of novel generalized spatial modulation(GSM) constellations, referred to as SSERGSM constellations, so as to boost the performance of the BICGSM-ID MIMO-VLC systems.Moreover, by applying a modified PEXIT(MPEXIT) algorithm, we further design a family of rate-compatible P-LDPC codes, referred to as enhanced accumulate-repeat-accumulate(EARA) codes,which possess both excellent decoding thresholds and linear-minimum-distance-growth property. Both analysis and simulation results illustrate that the proposed SSERGSM constellations and P-LDPC codes can remarkably improve the convergence and decoding performance of MIMO-VLC systems. Therefore, the proposed P-LDPC-coded SSERGSM-mapped BICGSMID configuration is envisioned as a promising transmission solution to satisfy the high-throughput requirement of MIMO-VLC applications.

关键词： bit-interleaved coded modulation generalized spatial modulation multiple-input multipleoutput protograph LDPC codes visible light communication

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Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems:A Medical Case Study

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Journal of Bionic Engineering 2024年第1期21卷 409-425页

作者： Adel Got Djaafar Zouache Abdelouahab Moussaoui Laith Abualigah Ahmed Alsayat Faculty of informatics University of Science and Technology Houari BoumedieneAlgiersAlgeria LRIA Laboratory University of Science and Technology Houari BoumedieneAlgiersAlgeria Computer Science Department University of Mohamed El Bachir El IbrahimiBordj Bou ArreridjAlgeria Computer Science Department University of Ferhat AbbasSetifAlgeria Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq 25113Jordan Department of Computer Science College of Computer and Information SciencesJouf UniversityJoufSaudi Arabia Department of Electrical and Computer Engineering Lebanese American University13-5053ByblosLebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied science research center Applied science private universityAmman 11931Jordan School of Computer Sciences Universiti Sains Malaysia11800 PenangMalaysia School of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

Support Vector Machine(SVM)has become one of the traditional machine learning algorithms the most used in prediction and classification tasks.However,its behavior strongly depends on some parameters,making tuning these parameters a sensitive step to maintain a good performance.On the other hand,and as any other classifier,the performance of SVM is also affected by the input set of features used to build the learning model,which makes the selection of relevant features an important task not only to preserve a good classification accuracy but also to reduce the dimensionality of datasets.In this paper,the MRFO+SVM algorithm is introduced by investigating the recent manta ray foraging optimizer to fine-tune the SVM parameters and identify the optimal feature subset simultaneously.The proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking datasets.Additionally,it is applied to a disease Covid-19 dataset.The experimental results show the high ability of the proposed algorithm to find the appropriate SVM’s parameters,and its acceptable performance to deal with feature selection problem.

关键词： Support vector machine Parameters tuning Feature selection Bioinspired algorithms Manta ray foraging optimizer

Dysprosium oxide,alumina,and graphene oxide reinforced polycaprolactone thin films:Thermal stability,morphology,and cell viability

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Journal of Rare Earths 2024年第7期42卷 1337-1343页

作者： mohamed Tharwat Elabbasy mohamed R.Atteya Mai A.Samak Mousa Abdelrahman Tahani AlMahmoud M.A.El-Morsy A.A.Menazea M.F.H.Abd El-Kader Department of Public Health College of Public Health and Health InformaticsUniversity of Ha'il Food Control Department Faculty of Veterinary MedicineZagazig University Department of Physical Therapy College of Applied Medical SciencesUniversity of Ha'il Department of Histology and Cell Biology Faculty of MedicineZagazig University College of Nursing University of Ha'il College of Science and Humanities in Al-Kharj Physics DepartmentPlasma Technology and Material Science UnitPrince Sattam Bin Abdulaziz University Physics Department Faculty of ScienceUniversity of Damietta Spectroscopy Department Physics Research InstituteNational Research Centre Biophysics Department Faculty of ScienceCairo University

Developing a biomaterial for wound healing applications is still a challenge.Herein,dysprosium oxide（Dy2O3）,aluminum oxide（Al2O3）,and graphene oxide（GO） were embedded in cast films based on polycaprolactone（PCL） to be examined for wound dressing usage.Different techniques were used to characterize the fabricated films including X-ray diffraction（XRD）,Fourier transform infrared spectroscopy（FTIR）,Raman,and scanning electron microscopy（SEM）,besides their biological activity.The thermogravimetric analysis（TGA） exhibits high thermal stability as the scaffold weight decreases slightly to 98.6% after raising the temperature from room temperature to 280℃.The cell viability was investigated and it is shown that the viable cells grow up to approximately 93% at 75 μg/mL.Meanwhile,the cell attachment shows excellent behavior as the cells attach on most of the surface of the modified PCL which shows high biocompatibility.

关键词： Al2O3 Biocompatible Dy2O3 Polycaprolactone Rare earths Wound healing

Extracellular vesicles as tools and targets in therapy for diseases

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Signal Transduction and Targeted Therapy 2024年第3期9卷 872-912页

作者： Mudasir A.Kumar Sadaf K.Baba Hana Q.Sadida Sara Al.Marzooqi Jayakumar Jerobin Faisal H.Altemani Naseh Algehainy Mohammad A.Alanazi Abdul-Badi Abou-Samra Rakesh Kumar Ammira S.Al-Shabeeb Akil Muzafar A.Macha rashid Mir Ajaz A.Bhat Watson-Crick Centre for Molecular Medicine Islamic University of Science and TechnologyAwantiporaKashmir 192122India Department of Human Genetics-Precision Medicine in Diabetes Obesity and Cancer ProgramSidra MedicineDohaQatar Qatar Metabolic Institute Academic Health SystemHamad Medical CorporationDohaQatar Department of Medical Laboratory Technology Prince Fahad Bin Sultan Chair for Biomedical ResearchFaculty of Applied Medical SciencesUniversity of TabukTabukSaudi Arabia School of Biotechnology Shri Mata Vaishno Devi UniversityKatraIndia

Extracellular vesicles(EVs)are nano-sized,membranous structures secreted into the extracellular space.They exhibit diverse sizes,contents,and surface markers and are ubiquitously released from cells under normal and pathological conditions.Human serum is a rich source of these EVs,though their isolation from serum proteins and non-EV lipid particles poses challenges.These vesicles transport various cellular components such as proteins,mRNAs,miRNAs,DNA,and lipids across distances,influencing numerous physiological and pathological events,including those within the tumor microenvironment(TME).Their pivotal roles in cellular communication make EVs promising candidates for therapeutic agents,drug delivery systems,and disease biomarkers.Especially in cancer diagnostics,EV detection can pave the way for early identification and offers potential as diagnostic biomarkers.Moreover,various EV subtypes are emerging as targeted drug delivery tools,highlighting their potential clinical significance.The need for non-invasive biomarkers to monitor biological processes for diagnostic and therapeutic purposes remains unfulfilled.Tapping into the unique composition of EVs could unlock advanced diagnostic and therapeutic avenues in the future.In this review,we discuss in detail the roles of EVs across various conditions,including cancers(encompassing head and neck,lung,gastric,breast,and hepatocellular carcinoma),neurodegenerative disorders,diabetes,viral infections,autoimmune and renal diseases,emphasizing the potential advancements in molecular diagnostics and drug delivery.

关键词： diseases sized sizes

Nodule Detection Using Local binary Pattern Features to Enhance Diagnostic Decisions

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Computers, Materials & Continua 2024年第3期78卷 3377-3390页

作者： Umar rashid Arfan Jaffar Muhammad rashid Mohammed S.Alshuhri Sheeraz Akram Faculty of Computer Science and Information Technology The Superior UniversityLahore54600Pakistan Intelligent Data Visual Computing Research(IDVCR) Lahore54600Pakistan Department of Computer Science National University of TechnologyIslamabad45000Pakistan Department of Radiological Sciences and Medical Imaging College of AppliedMedical SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Information Systems Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh12571Saudi Arabia

Pulmonary nodules are small, round, or oval-shaped growths on the lungs. They can be benign (noncancerous) or malignant (cancerous). The size of a nodule can range from a few millimeters to a few centimeters in diameter. Nodules may be found during a chest X-ray or other imaging test for an unrelated health problem. In the proposed methodology pulmonary nodules can be classified into three stages. Firstly, a 2D histogram thresholding technique is used to identify volume segmentation. An ant colony optimization algorithm is used to determine the optimal threshold value. Secondly, geometrical features such as lines, arcs, extended arcs, and ellipses are used to detect oval shapes. Thirdly, Histogram Oriented Surface Normal Vector (HOSNV) feature descriptors can be used to identify nodules of different sizes and shapes by using a scaled and rotation-invariant texture description. Smart nodule classification was performed with the XGBoost classifier. The results are tested and validated using the Lung Image Consortium Database (LICD). The proposed method has a sensitivity of 98.49% for nodules sized 3–30 mm.

关键词： Pulmonary nodules segmentation histogram thresholding

Surface morphology and cell viability of samarium(Ⅲ) oxide/chromium(Ⅲ) oxide/graphene oxide/polycaprolactone targeting wound dressing

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Journal of Rare Earths 2024年第3期42卷 555-561,I0005页

作者： Muteb H.Alshammari Ahmed Onayzan Alshammari mohamed Tharwat Elabbasy Rafat Zreiq Faris Mohammed Albati M.A.El-Morsy A.A.Menazea Department of Health Informatics College of Public Health and Health InformaticsUniversity of Ha'ilHa'ilSaudi Arabia Department of Surgery College of MedicineUniversity of Ha'ilHa'ilSaudi Arabia Department of Public Health College of Public Health and HealthInformaticsHalUniversityHa'il2440Saudi Arabi Food Control Department Faculty of Veterinary MedicineZagazig UniversityZagazig44519Egypt Applied Science Research Center Applied Science Private UniversityAmman541350Jordan College of Shariah and Law Ha'il UniversityHa'il2440Saudi Arabia College of Science and Humanities in Al-Kharj Physics DepartmentPlasma Technology and Material Science UnitPrince Sattam Bin Abdulaziz UniversityAl-kharj11942Saudi Arabia Physics Department Faculty of ScienceUniversity of DamittaNew Damietta34517.Egyp Spectroscopy Department Physics Research InstituteNational Research CentreDokki12622GizaEgypt

Combinations of metal and lanthanide oxides have been done through casted films for potential medical applications. In this regard, samarium(Ⅲ) oxide/chromium(Ⅲ) oxide/graphene oxide(GO)/polycaprolactone(PCL) based films nano-composites(NCs) were fabricated, pointing their utilization as a biological scaffold for wound dressing purposes. Also, samarium(Ⅲ) oxide and chromium(Ⅲ) oxide have been merged as promising optical constituents due to their unique optical behavior. The structural and compositional examination of the studied NCs was executed by X-ray diffraction(XRD), Raman, and field emission scanning electron microscopy(FESEM). The Sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL NC exhibits a surface with a lower roughness degree owing to the presence of GO. Cr_(2)O_(3)shows size reduction upon GO insertion to reach 1.2 μm as the average grain size, whilst Sm_(2)O_(3)records an average grain size of less than 1 μm. As well, the polymeric nano-compositions exhibit variation in contact angle values that hit 29.76°± 3.52°for Sm_(2)O_(3)/PCL, and 48.62°± 1.37°for Sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL as the second lowest contact angle. The optical behavior contributes to absorption edge relocation along the x-axis from 1.7 eV for pure PCL, to 2.65 eV for Sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL. Regarding biological responses, the cell exposed to 2.5 μg/m L of Sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL shows cell viability of 119.31%, while 5 μg/m L hits 99.6%. Additionally, the resulting cell attachment micrographs show layers of fibroblast tissue, besides the proliferation and growth of cultivated cells. Thus, the Sm_(2)O_(3)/Cr_(2)O_(3)/GO/PCL scaffold provides 3D proliferation of fibroblast cells endorsing the wound healing process.

关键词： Wound healing Wound dressing Polycaprolactone Sm_(2)O_(3) Cr_(2)O_(3) Rare earths

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The Impact of Behavioural Insights on Effective Prescription of Antibiotics by Doctors: A Case Study from Latifa Hospital for Women and Children, Dubai Health Authority

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Health 2023年第6期15卷 517-524页

作者： Muna A. Tahlak Atif B. Fazari Fareeda Khan Raid Abukaf Lyla G. Zadeh Alawi Alsheikh Abdulaziz Istaitieh Latifa Hospital for Women and Children Dubai Health Authority Dubai UAE mohamed bin rashid university Dubai UAE Mohammed bin rashid School of Government Dubai UAE

Introduction: Wise prescription of antibiotics is an ethical duty of physicians in view of rising antimicrobial resistance in the community, it should be balanced between the health requirements of the patients and resulting long-term antibiotics resistance. Overuse of antimicrobials is a major cause of emerging resistance to antimicrobials. There are multiple factors in the community that influence the physician’s antibiotic prescriptions. Methods: This is a systematic case-control study on antibiotics prescription for paediatric patients attending Latifa Hospital for Women and Children (LWCH), Dubai Health Authority, to know the effects of behavioral interventions on rates of inappropriate antimicrobials prescription by doctors in the Paediatric Emergency Department. Results: The results of our study showed the effectiveness of behavioral insights by peer comparison in antibiotic use among paediatricians in Latifa Hospital had a statistical significance (P = 0.0038). The rate of the prescription decreased from 41% to 21%, a difference of 20%. Conclusion: The study concluded behavioural intervention is an effective measure in reducing the improper prescription of antibiotics in the hospital setting.

关键词： Behavioural Intervention Antibiotics Prescription Behavioral Economics Health Economics Behavioural Insight

Risk and predictors of severity and mortality in patients with type 2 diabetes and COVID-19 in Dubai

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World Journal of Diabetes 2023年第8期14卷 1259-1270页

作者： Fatheya Alawadi Alaaeldin Bashier Azza Abdulaziz bin Hussain Nada Al-Hashmi Fawzi Al Tayb Bachet mohamed Mahmoud Aly Hassanein Marwan Abdelrahim Zidan Rania Soued Amar Hassan Khamis Debasmita Mukhopadhyay Fatima Abdul Aya Osama Fatima Sulaiman Muhammad Hamed Farooqi Riad Abdel Latif Bayoumi Department of Endocrinology Dubai Academic Health CorporationDubaiUnited Arab Emirates Department of Medical Education and Research Dubai Academic Health CorporationDubaiUnited Arab Emirates Department of Radiology Mediclinic City HospitalDubaiUnited Arab Emirates College of Medicine Mohamed Bin Rashid University of Medicine and Health SciencesDubaiUnited Arab Emirates Dubai Diabetes Center Dubai Academic Health CorporationDubaiUnited Arab Emirates Basic Medical Sciences College of MedicineMohammed Bin Rashid University of Medicine and Health SciencesDubaiUnited Arab Emirates

BACKGROUND Globally,patients with diabetes suffer from increased disease severity and mortality due to coronavirus disease 2019(COVID-19).Old age,high body mass index(BMI),comorbidities,and complications of diabetes are recognized as major risk factors for infection severity and mortality.AIM To investigate the risk and predictors of higher severity and mortality among inhospital patients with COVID-19 and type 2 diabetes(T2D)during the first wave of the pandemic in Dubai(March–September 2020).METHODS In this cross-sectional nested case-control study,a total of 1083 patients with COVID-19 were recruited.This study included 890 men and 193 women.Of these,427 had T2D and 656 were non-diabetic.The clinical,radiographic,and laboratory data of the patients with and without T2D were compared.Independent predictors of mortality in COVID-19 non-survivors were identified in patients with and without T2D.RESULTS T2D patients with COVID-19 were older and had higher BMI than those without T2D.They had higher rates of comorbidities such as hypertension,ischemic heart disease,heart failure,and more life-threatening complications.All laboratory parameters of disease severity were significantly higher than in those without T2D.Therefore,these patients had a longer hospital stay and a significantly higher mortality rate.They died from COVID-19 at a rate three times higher than patients without.Most laboratory and radiographic severity indices in non-survivors were high in patients with and without T2D.In the univariate analysis of the predictors of mortality among all COVID-19 non-survivors,significant associations were identified with old age,increased white blood cell count,lymphopenia,and elevated serum troponin levels.In multivariate analysis,only lymphopenia was identified as an independent predictor of mortality among T2D non-survivors.CONCLUSION Patients with COVID-19 and T2D were older with higher BMI,more comorbidities,higher disease severity indices,more severe proinflammatory state with cardiac involvement,and died fro

关键词： Type 2 diabetes COVID-19 Risk factors Mortality United Arab Emirates