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Pregnancy Outcomes in Pregnant Patients with COVID-19: A Multicenter Study

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Open Journal of Obstetrics and Gynecology 2023年第1期13卷 13-25页

作者： Mufareh Asiri Salem al Suwaidan Afaf altweijry Abdulsamed almdefa saad alonze Theba Saud Maternity Hospital King Saud Medical City Riyadh KSA Research Center King Saud Medical City Riyadh KSA

Introduction: Acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared a pandemic by the World Health Organization (WHO) on March 11, 2020. The presence of COVID-19 in a pregnant patient can raise concerns, as other types of coronaviruses were associated with many adverse outcomes. This study aims to study the effect of COVID-19 on pregnancy outcomes. Methods: A prospective cross-sectional cohort study within Central First Health Care Cluster (multicentric), Riyadh, included all pregnant women with a singleton pregnancy diagnosed as COVID-19-positive. The primary outcome is the severity of COVID during pregnancy in terms of ICU admission and mortality. The participants were divided into three groups (preterm less than 37 weeks, the term from 37 - 40 weeks, and late-term after 40 weeks. In addition, parameters included: Gestational age at diagnosis, symptoms at presentation (cough, fever), presence of congenital anomalies, IUFD, mode of delivery, presence of PPH, newborn Apgar score, cord PH, need for NICU admission, and the newborn becoming infected with COVID-19 were also measured as secondary outcomes. Results: One hundred pregnant, COVID-19-positive women met the inclusion criteria;the average age of participants was 31.2 years (SD ± 6.4). Asymptomatic patients represented 54% of participants. Most of the deliveries occurred at 36 weeks or less as preterm delivery. Cesarean sections represented 55% of our population. Four-term mothers (12.5%), more than 37 weeks, need ICU admission compared to 13 (25%) preterm cases diagnosed with preeclampsia. No maternal death. Conclusion: COVID-19 during pregnancy can increase ICU admission. A high rate of preterm labor, miscarriage, cesarean section, and newborn testing positive for COVID-19 were observed among our population. No congenital anomalies related to COVID-19 were observed.

关键词： Pregnancy COVID-19 Preterm Labor Miscarriage Saudi Arabia

Realistic Smile Expression Recognition Approach Using Ensemble Classifier with Enhanced Bagging

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Computers, Materials & Continua 2022年第2期70卷 2453-2469页

作者： Oday A.Hassen Nur Azman Abu Zaheera Zainal Abidin saad M.Darwish University Technical Malaysia Melaka Department of Information TechnologyMelaka76100Malaysia Institute of Graduate Studies and Research University of AlexandriaAlexandriaEl Shatby21526Egypt

A robust smile recognition system could be widely used for many real-world *** of a facial smile in an unconstrained setting is difficult due to the invertible and wide variety in face *** this paper,an adaptive model for smile expression classification is suggested that integrates a fast features extraction algorithm and cascade *** model takes advantage of the intrinsic association between face detection,smile,and other face features to alleviate the over-fitting issue on the limited training set and increase classification *** features are extracted taking into account to exclude any unnecessary coefficients in the feature vector;thereby enhancing the discriminatory capacity of the extracted features and reducing the computational ***,the main causes of error in learning are due to noise,bias,and *** helps to minimize these *** of multiple classifiers decrease variance,especially in the case of unstable classifiers,and may produce a more reliable classification than a single ***,a shortcoming of bagging as the best ensemble classifier is its random selection,where the classification performance relies on the chance to pick an appropriate subset of training *** suggested model employs a modified form of bagging while creating training sets to deal with this challenge(error-based bootstrapping).The experimental results for smile classification on the JAFFE,CK+,and CK+48 benchmark datasets show the feasibility of our proposed model.

关键词： Ensemble classifier smile expression detection features extraction

Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean(Glycine max L.)Genotypes

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Phyton-International Journal of Experimental Botany 2023年第6期92卷 1887-1906页

作者： Syed ali Zafar Muhammad Aslam Haroon Zaman Khan Sehrish Sarwar Rao saad Rehman Mariam Hassan Ramala Masood Ahmad Rafaqat AGill Basharat ali Ibrahim al-Ashkar Abdullah Ibrahim Md Atikur Rahman Ayman El Sabagh Oilseeds Research Institute Ayub Agricultural Research InstituteFaisalabadPakistan Department of Plant Breeding and Genetics University of AgricultureFaisalabadPakistan Department of Agronomy University of AgricultureFaisalabadPakistan College of Plant Science and Technology Huazhong Agricultural UniversityWuhanChina Key Laboratory of Biology and Genetic Improvement of Oil Crops The Ministry of Agriculture and Rural AffairsOil Crops Research Institute of Chinese Academy of Agricultural SciencesWuhan430062China Department of Agricultural Engineering Khwaja Fareed University of Engineering and Information TechnologyRahim Yar KhanPakistan Department of Plant Production College of Food and Agriculture SciencesKing Saud UniversityRiyadhSaudi Arabia Grassland and Forage Division National Institute of Animal ScienceRural Development AdministrationCheonanKorea Department of Agronomy Faculty of AgricultureUniversity of KafrelsheikhKafr ElsheikhEgypt

The availability of favorable genetic diversity is a thriving vitality for the success of a breeding *** provides a firm basis of selecting superior breeding lines for the development of high yielding crop *** this context,present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean *** of variance revealed significant response of the evaluated genotypes based on studied *** depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity *** analysis revealed that seed yield per plant showed high positive correlation with 100-seed weight followed by pods per plant and plant ***,path coefficient analysis exposed that pods per plant had maximum direct contribution in seed yield per plant followed by 100-seed weight,days to flowering and SPAD *** named“G-10”showed maximum yield per plant followed by 24607,G-52,24593,Arisoy,24566,17426,A-3127,24570 and *** diversity analysis grouped the evaluated germplasm into 17 *** clusters showed zero intra-cluster variability;while inter-cluster divergence ranged from 9.00 to *** V showed maximum inter-cluster distance with cluster XII followed by that of between V and ***,cluster IV with superior genotypes(G-10,24607,24593 and 24566),VI(17426 and 24567),XIII(24570)and X(Arisoy and G-52)showed above mean values for most of the studied ***,the results of hybridization between the superior genotypes of these cluster pairs might be useful for soybean breeding with improving agronomic traits and adaptability.

关键词： Genetic variability correlation path analysis genetic diversity analysis soybean selective breeding

Stress combination:When two negatives may become antagonistic,synergistic or additive for plants?

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Pedosphere 2023年第2期33卷 287-300页

作者： Hera NADEEM Amir KHAN Rishil GUPTA Mohamed HASHEM saad alAMRI Mansoor Ahmad SIDDIQUI Faheem AHMAD Department of Botany Aligarh Muslim UniversityAligarh 202002(India) Department of Biology College of ScienceKing Khalid UniversityAbha 61413(Saudi Arabia) Botany and Microbiology Department Faculty of ScienceAssiut UniversityAssiut 71516(Egypt)

Plants in their natural environment are constantly subjected to various abiotic and biotic stressors and,therefore,have developed several defense mechanisms to maintain *** responses are intricate and require various physiological,biochemical,and cellular changes in *** reaction mechanisms in plants subjected to drought,salinity,or heat stress alone have been explained in numerous ***,the field conditions are significantly different from the controlled laboratory *** the field,crops or plants are simultaneously exposed to two or more abiotic and/or biotic stress conditions,such as a combination of salinity and heat,drought and cold,or any of the abiotic stresses combined with pathogen *** have shown that plants’reactions to combinations of more than two stress factors are distinct and cannot be explicitly deduced from their responses to different stresses when applied ***,additional research is needed to understand the complete mechanism of plant responses to stress by analyzing data between single stress and multiple stress *** review aims to provide an overview of current research on plant responses to a combination of various stress conditions and their influence on the metabolic,transcriptional,and physiological characteristics of plants.

关键词： abiotic stress abscisic acid biotic stress defence mechanism multifactorial stress reactive oxygen species stress response

One-Class Arabic Signature Verification: A Progressive Fusion of Optimal Features

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Computers, Materials & Continua 2023年第4期75卷 219-242页

作者： Ansam A.Abdulhussien Mohammad F.Nasrudin saad M.Darwish Zaid A.alyasseri Centre of Artificial Intelligence Faculty of Information Sciences and TechnologyUniversity Kebangsaan MalaysiaBangi43600Malaysia Information Technology Center Iraqi Commission for Computers and InformaticsBaghdad10009Iraq Institute of Graduate Studies and Research University of Alexandria163 Horreya AvenueEl Shatby21526P.O.Box 832AlexandriaEgypt

Signature verification is regarded as the most beneficial behavioral characteristic-based biometric feature in security and fraud *** is also a popular biometric authentication technology in forensic and commercial transactions due to its various advantages,including noninvasiveness,user-friendliness,and social and legal *** to the literature,extensive research has been conducted on signature verification systems in a variety of languages,including English,Hindi,Bangla,and ***,the Arabic Offline Signature Verification(OSV)system is still a challenging issue that has not been investigated as much by researchers due to the Arabic script being distinguished by changing letter shapes,diacritics,ligatures,and overlapping,making verification more ***,signature verification systems have shown promising results for recognizing signatures that are genuine or forgeries;however,performance on skilled forgery detection is still *** existing methods require many learning samples to improve verification accuracy,which is a major drawback because the number of available signature samples is often limited in the practical application of signature verification *** study addresses these issues by presenting an OSV system based on multifeature fusion and discriminant feature selection using a genetic algorithm(GA).In contrast to existing methods,which use multiclass learning approaches,this study uses a oneclass learning strategy to address imbalanced signature data in the practical application of a signature verification *** proposed approach is tested on three signature databases(SID)-Arabic handwriting signatures,CEDAR(Center of Excellence for Document Analysis and Recognition),and UTSIG(University of Tehran Persian Signature),and experimental results show that the proposed system outperforms existing systems in terms of reducing the False Acceptance Rate(FAR),False Rejection Rate(FRR),and Equa

关键词： Offline signature verification biometric system feature fusion one-class classifier

Prevalence of Depression in Elderly People Living With HIV:A Systematic Review and Meta-analysis

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Infectious Microbes & Diseases 2023年第4期5卷 167-171页

作者： Gasmelseed Y.Ahmed Chandni Saha Eman M.almusalami ali A.Rabaan saad alhumaid Abdelraheem A.ali Abdallah A.Basheer Yousra Babikir Ziyad Fahad aljofan Abbas al Mutair Columbia University Hospital New YorkNew YorkUSA Research Center Almoosa Specialist HospitalAlhasaSaudi Arabia Molecular Diagnostic Laboratory Johns Hopkins Aramco HealthcareAlhasaSaudi Arabia Ministry of Health AlhasaSaudi Arabia Faculty of Medicine and Health Sciences Managil University for Sciences and TechnologyAl ManagilSudan Montclair University MontclairNew JerseyUSA College of Medicine King Saud UniversityRiyadhSaudi Arabia School of Nursing University of WollongongWollongongNew South WalesAustralia Medical Surgical Nursing Department Princess Nourah Bint Abdulrhamn UniversityRiyadhSaudi Arabia Nursing Department AlmoosaCollege of Health SciencesAl-MubarrazSaudi Arabia Nursing Department Prince Sultan Military CollegeDhahranSaudi Arabia

We conducted a systematic review andmeta-analysis to determine the prevalence of depression among elderly people living with *** searched electronic databases and included 12 observational studies that reported on depression among people who were 50 years of age or older and had *** studies were mostly hospital-based and fromWestern and African *** included a total of 5868 older peoplewith HIV,ofwhom 1667 had *** prevalence of depression was 28%with heterogeneity of 95.2%.Prevalence ranged from 14.5%in the Netherlands to 42.4%in South *** therewas asymmetry in the funnel plot,the Egger’s test showed no significant publication *** meta-analysis found a high burden of depression among older people with *** health services addressing psychosocial needs and interventions to prevent and treat depression are needed,especially in community *** providers and policymakers should address the prevalence of depression in such communities.

关键词： AIDS aging with HIV depression psychosocial needs

Intelligent Autonomous-Robot Control for Medical Applications

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Computers, Materials & Continua 2021年第8期68卷 2189-2203页

作者： Rihem Farkh Haykel Marouani Khaled al Jaloud saad alhuwaimel Mohammad Tabrez Quasim Yasser Fouad College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Laboratory for Analysis Conception and Control of SystemsDepartment of Electrical EngineeringNational Engineering School of TunisTunis El Manar University1002Tunisia King Abdulaziz City for Science and Technology Riyadh12354Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a *** has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods(including medicines)that is needed to prevent infection and treatment for infected *** COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a *** artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways,particularly in the control of autonomous medic *** officials aim to curb the spread of COVID-19 among medical,nursing staff and patients by using intelligent *** propose an advanced controller for a service robot to be used in *** type of robot is deployed to deliver food and dispense medications to individual *** autonomous line-follower robot that can sense and follow a line drawn on the floor and drive through the rooms of patients with control of its *** criteria were met by using two controllers simultaneously:a deep neural network controller to predict the trajectory of movement and a proportional-integral-derivative(PID)controller for automatic steering and speed control.

关键词： Autonomous medic robots PID control neural network control system real-time implementation navigation environment differential drive system

Enhancing resource allocation in edge and fog-cloud computing with genetic algorithm and particle swarm optimization

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Intelligent and Converged Networks 2023年第4期4卷 273-279页

作者： saad-Eddine Chafi Younes Balboul Mohammed Fattah Said Mazer Moulhime El Bekkali the Laboratory of Artificial Intelligence Data Sciences and Emerging SystemsNational School of Applied SciencesSidi Mohamed Ben Abdellah UniversityFez 30000Morocco the LIA Laboratory Moulay Ismail UniversityMeknes 50050Morocco

Evolutionary algorithms have gained significant attention from researchers as effective solutions for various optimization *** algorithm(GA)is widely popular due to its logical approach,broad applicability,and ability to tackle complex issues encountered in engineering ***,GA is known for its high implementation cost and typically requires a large number of *** the other hand,Particle Swarm Optimization(PSO)is a relatively new heuristic technique inspired by the collective behaviors of real *** GA and PSO algorithms are prominent heuristic optimization methods that belong to the population-based approaches *** they are often seen as competitors,their efficiency heavily relies on the parameter values chosen and the specific optimization problem at *** this study,we aim to compare the runtime performance of GA and PSO algorithms within a cutting-edge edge and fog cloud *** extensive experiments and performance evaluations,the authors demonstrate the effectiveness of GA and PSO algorithms in improving resource allocation in edge and fog cloud computing scenarios using FogWorkflowSim *** comparative analysis sheds light on the strengths and limitations of each algorithm,providing valuable insights for researchers and practitioners in the field.

关键词： particle swarm optimization genetic algorithm performance evaluation edge and fog cloud FogWorkflowSim

Modelling the dynamics of stock market in the gulf cooperation council countries:evidence on persistence to shocks

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Financial Innovation 2022年第1期8卷 1252-1273页

作者： Heni Boubaker Bassem Saidane Mouna Ben saad Zorgati Institute of High Commercial Studies(IHEC)of Sousse LaREMFiQB.P.404054 SousseTunisia IPAG Business School IPAG LAB184 Boulevard Saint-Germain75006 ParisFrance

This study examines the statistical properties required to model the dynamics of both the returns and volatility series of the daily stock market returns in six Gulf Cooperation Council countries,namely Bahrain,Oman,Kuwait,Qatar,Saudi Arabia,and the United Arab Emirates,under different financial and economic *** empiri-cal investigation is conducted using daily data from June 1,2005 to July 1,*** analysis is conducted using a set of double long-memory specifications with some significant features such as long-range dependencies,asymmetries in conditional variances,non-linearity,and multiple seasonality or time-varying *** study indicates that the joint dual long-memory process can adequately estimate long-memory dynamics in returns and *** in-sample diagnostic tests as well as out-of-sample forecasting results demonstrate the prevalence of the Autoregressive Fractionally Integrated Moving Average and Hyperbolic Asymmetric Power Autoregressive Conditional Heteroskedasticity modeling process over other competing models in fitting the first and the second conditional moments of the market ***,the empirical results show that the proposed model offers an interesting framework to describe the long-range dependence in returns and seasonal persistence to shocks in conditional volatility and strongly support the estimation of dynamic returns that allow for time-varying correlations.A noteworthy finding is that the long-memory dependencies in the conditional variance processes of stock market returns appear important,asymmetric,and differ in their volatility responses to unexpected *** evidence suggests that these markets are not completely efficient in processing regional news,thus providing a sound alternative for regional portfolio diversification.

关键词： Long-memory Volatility process Asymmetric power Seasonality Forecast performance Stock market