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Obstetric Anesthesia Practice Significantly Evolved: A Field for Cesarean Delivery Parturient for the Provision of Safe Anesthesia in Urgent Circumstances

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Open Journal of Anesthesiology 2024年第3期14卷 66-92页

作者： Mustafa Zakaria Amal Haoudar Said Makani Mariame Kabbour Oumaima Taoussi karim elaidaoui Yousra Rajaa Chafik el Kettani Adil elghanmi Department of Anesthesia and Resuscitation Hospital ZNA Middelheim Antwerpen Belgium European Society of Anaesthesiology and Intensive Care Ghent Belgium Anesthesia and Resuscitation Services Mohammed VI University of Sciences and Health-UM6SS Casablanca Morocco Cardiologist Vascular Surgery Mohammed VI University of Sciences and Health-UM6SS Casablanca Morocco Faculty of Science and Technology Hassan II University of Casablanca Casablanca Morocco Departement of Services Cardiology Mohammed VI University of Sciences and Health-UM6SS Casablanca Morocco Department of Anesthesia and Resuscitation Mohammed VI University of Sciences and Health-UM6SS Casablanca Morocco Obstetrics and Gynecology Services Mohammed VI University of Sciences and Health-UM6SS Casablanca Morocco

General anesthesia and Obstetric Anesthesia is the gold standard for a cesarean section but there are some cases where general anesthesia is unavoidable. The use of general anesthesia for cesarean delivery has decreased in recent years due to the widespread use of neuraxial techniques. The choice of anesthesia techniques for cesarean delivery depends on several factors, including the patient’s psychology and the attending physician’s experience. It is chosen because of its safety profile and its benefits to the mother and fetus. It may be indicated due to emergency, maternal refusal of regional techniques, or regional contraindications. Major complications include failed intubation, gastric content aspiration, and increased bleeding risk. This study aims to evaluate the impact of a newly launched team on obstetric anesthesia practice.

关键词： General Anesthesia Cesarean Delivery Intubation Maternal Refusal Obstetric Anesthetists

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

Wheat breeding for Hessian fly resistance at ICARDA

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The Crop Journal 2022年第6期10卷 1528-1535页

作者： Wuletaw Tadesse Samira el-Hanafi karim el-Fakhouri Imane Imseg Fatima Ezzahra Rachdad Zakaria el-Gataa Mustapha el Bouhssini International Center for Agricultural Research in the Dry Areas(ICARDA) P.O.Box 6299RabatMorocco Biodiversity and Plant Sciences Program AbroBioSciencesMohammed VI Polytechnic UniversityLot 660-Hay Moulay Rachid43150 Ben GuerirMorocco

Hessian fly(HF),Mayetiola destructor(Say)is an important pest of wheat in North Africa,North America,Southern Europe,Northern Kazakhstan,Northwestern China,and New *** can cause up to 30%yield losses and sometimes can result in complete crop failure if infestation coincides with young stage of the wheat *** to-date have shown the availability of genetic diversity in the wheat genetic resources(landraces,wild relatives,cultivars,etc.)for resistance to Hessian *** 37 resistance genes have been reported from these wheat genetic resources for resistance to Hessian fly,of which,some have been deployed singly or in combination in the breeding programs to develop high yielding varieties with resistance to *** of resistant varieties in different agro-ecologies with other integrated management measures plays key role for the control of *** paper summarizes the importance,life cycle,mechanisms of resistance,gene mining,and wheat breeding efforts for HF resistance.

关键词： Breeding Gene introgression Hessian fly Resistance

Optimized Weighted Ensemble Using Dipper Throated Optimization Algorithm in Metamaterial Antenna

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Computers, Materials & Continua 2022年第12期73卷 5771-5788页

作者： Doaa Sami Khafaga el-Sayed M.el-kenawy Faten Khalid karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz AAbdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Metamaterial Antennas are a type of antenna that uses metamaterial to enhance *** bandwidth restriction associated with small antennas can be solved using metamaterial *** learning is gaining popularity as a way to improve solutions in a range of *** learning approaches are currently a big part of current research,and they’re likely to be huge in the *** model utilized determines the accuracy of the prediction in large *** goal of this paper is to develop an optimized ensemble model for forecasting the metamaterial antenna’s bandwidth and *** basic models employed in the developed ensemble are Support Vector Regression(SVR),K-NearestRegression(KNR),Multi-Layer Perceptron(MLP),Decision Trees(DT),and Random Forest(RF).The percentages of contribution of these models in the ensemble model are weighted and optimized using the dipper throated optimization(DTO)*** choose the best features from the dataset,the binary(bDTO)algorithm is *** proposed ensemble model is compared to the base models and results are recorded and analyzed *** addition,two other ensembles are incorporated in the conducted experiments for *** ensembles are average ensemble and K-nearest neighbors(KNN)-based *** comparison is performed in terms of eleven evaluation *** evaluation results confirmed the superiority of the proposed model when compared with the basic models and the other ensemble models.

关键词： Metamaterial antenna dipper throated optimization feature selection parameters prediction

Hybrid Dipper Throated and Grey Wolf Optimization for Feature Selection Applied to Life Benchmark Datasets

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Computers, Materials & Continua 2023年第2期74卷 4531-4545页

作者： Doaa Sami Khafaga el-Sayed M.el-kenawy Faten Khalid karim Mostafa Abotaleb Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Department of System Programming South Ural State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

Selecting the most relevant subset of features from a dataset is a vital step in data mining and machine *** feature in a dataset has 2n possible subsets,making it challenging to select the optimum collection of features using typical *** a result,a new metaheuristicsbased feature selection method based on the dipper-throated and grey-wolf optimization(DTO-GW)algorithms has been developed in this *** can result when the selection of features is subject to metaheuristics,which can lead to a wide range of ***,we adopted hybrid optimization in our method of optimizing,which allowed us to better balance exploration and harvesting chores more *** propose utilizing the binary DTO-GW search approach we previously devised for selecting the optimal subset of *** the proposed method,the number of features selected is minimized,while classification accuracy is *** test the proposed method’s performance against eleven other state-of-theart approaches,eight datasets from the UCI repository were used,such as binary grey wolf search(bGWO),binary hybrid grey wolf,and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hysteresis optimization(bHy),and binary hysteresis optimization(bHWO).The suggested method is superior 4532 CMC,2023,vol.74,no.2 and successful in handling the problem of feature selection,according to the results of the experiments.

关键词： Metaheuristics dipper throated optimization grey wolf optimization binary optimizer feature selection

Optimization of electrocardiogram Classification Using Dipper Throated Algorithm and Differential Evolution

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Computers, Materials & Continua 2023年第2期74卷 2379-2395页

作者： Doaa Sami Khafaga el-Sayed M.el-kenawy Faten Khalid karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz A.Abdelhamid D.L.elsheweikh Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Science Faculty of Specific EducationMansoura UniversityEgypt

electrocardiogram(ECG)signal is a measure of the heart’s electrical ***,ECG detection and classification have benefited from the use of computer-aided systems by *** goal of this paper is to improve the accuracy of ECG classification by combining the Dipper Throated Optimization(DTO)and Differential Evolution Algorithm(DEA)into a unified algorithm to optimize the hyperparameters of neural network(NN)for boosting the ECG classification *** addition,we proposed a new feature selection method for selecting the significant feature that can improve the overall *** prove the superiority of the proposed approach,several experimentswere conducted to compare the results achieved by the proposed approach and other competing ***,statistical analysis is performed to study the significance and stability of the proposed approach using Wilcoxon and ANOVA *** results confirmed the superiority and effectiveness of the proposed *** classification accuracy achieved by the proposed approach is(99.98%).

关键词： electrocardiogram differential evolution algorithm dipper throated optimization neural networks

Voting Classifier and Metaheuristic Optimization for Network Intrusion Detection

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Computers, Materials & Continua 2023年第2期74卷 3183-3198页

作者： Doaa Sami Khafaga Faten Khalid karim Abdelaziz A.Abdelhamid el-Sayed M.el-kenawy Hend K.Alkahtani Nima Khodadadi Mohammed Hadwan Abdelhameed Ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt The Department of Civil and Environmental Engineering Florida International UniversityMiamiFLUSA Department of Information Technology College of ComputerQassim UniversityBuraydah51452Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Managing physical objects in the network’s periphery is made possible by the Internet of Things(IoT),revolutionizing human *** attacks and unauthorized access are possible with these IoT devices,which exchange data to enable remote *** attacks are often detected using intrusion detection methodologies,although these systems’effectiveness and accuracy are *** paper proposes a new voting classifier composed of an ensemble of machine learning models trained and optimized using metaheuristic *** employed metaheuristic optimizer is a new version of the whale optimization algorithm(WOA),which is guided by the dipper throated optimizer(DTO)to improve the exploration process of the traditionalWOA *** proposed voting classifier categorizes the network intrusions robustly and *** assess the proposed approach,a dataset created from IoT devices is employed to record the efficiency of the proposed algorithm for binary attack *** dataset records are balanced using the locality-sensitive hashing(LSH)and Synthetic Minority Oversampling Technique(SMOTE).The evaluation of the achieved results is performed in terms of statistical analysis and visual plots to prove the proposed approach’s effectiveness,stability,and *** achieved results confirmed the superiority of the proposed algorithm for the task of network intrusion detection.

关键词： Voting classifier whale optimization algorithm dipper throated optimization intrusion detection internet-of-things

Cooling and lubrication techniques in grinding:A state-of-the-art review,applications,and sustainability assessment

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Chinese Journal of Aeronautics 2023年第7期36卷 76-113页

作者： Ahmed Mohamed Mahmoud IBRAHIM Wei LI Abdel-Hamid ISMAIL MOURAD Mohamed A.E.OMER Fadl A.ESSA Ahmed Mustafa ABD el-NABY Mohammad S.Al soufi Muhammad F.EZZAT Ammar elSHEIKH College of Mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China Production Engineering and Mechanical Design Department Faculty of EngineeringMinia UniversityEl Minya 61519Egypt Mechanical and Aerospace Engineering Department College of EngineeringUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Department of Production Engineering and Mechanical Design Faculty of EngineeringTanta UniversityTanta 31527Egypt Mechanical Engineering Department Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh 33516Egypt Mechanical Engineering Department College of Engineering and Islamic ArchitectureUmm Al-Qura UniversityMakkah 24231Saudi Arabia Mechanical Engineering Department Faculty of EngineeringUniversity of AlbertaEdmonton T6G 2R3Canada Automotive and Tractors Engineering Department Faculty of EngineeringMinia UniversityEl Minya 61519Egypt Tokyo Institute of Technology Tokyo 152-8550Japan

Grinding technology is an essential manufacturing operation,in particular,when a component with a superfinishing and an ultra-resolution is *** the required strict quality checklist with maintaining a high level of productivity and sustainability is a substantive *** recent paper outlines the lubrication and cooling technologies and mediums that are used for ***,it provides a basis for a critical assessment of the different lubrication/cooling techniques in terms of machining outputs,environmental impact,hygiene effect,***,the paper put light on the sustainability of different cooling/lubrication *** sustainability of machining aims to get the product with the best accuracy and surface quality,minimum energy consumption,low environmental impact,reasonable economy,and minimum effect on worker’s *** paper revealed that despite some cooling/lubrication mediums like mineral oils and semisynthetic,afford sufficient lubrication or cooling,they have a significant negative impact on the environment and public *** the other hand,emulsions can overcome environmental problems but the economy and the energy consumption during grinding are still a matter of *** and vegetable oils are considered eco-friendly oils,but they suffer from a lack of thermal stability which affects their ability of efficiently *** the cooling medium with the lowest amount can achieve the goal of the economy but it may be reflected negatively on the ***,cryogenic lubrication doesn’t provide sufficient lubrication to reduce friction and hence energy *** research described in the paper is such a comprehensive compilation of knowledge regarding the machinability and machining performance under different cooling and lubrication systems that it will aid the next generation of scientists in identifying current advancements as well as potential future directions of research on ecolo

关键词： Cryogenic cooling Dry lubrication Minimum quantity lubrication Precision grinding Solid lubrication Sustainable machining Vegetable oils

低剂量白细胞介素-2在11种自身免疫疾病中的免疫学和临床疗效:单中心开放临床试验

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英国医学杂志中文版 2019年第2期22卷 123-123页

作者： Michelle Rosenzwajg Roberta Lorenzon Patrice Cacoub Hang Phuong Pham Fabien Pitoiset karim el soufi Claire RIbet Claude Bernard Selim Aractingi Beatrice Banneville Laurent Beaugerie Francis Berenbaum Julien Champey Olivier Chazouilleres Christophe Corpechot Bruno Fautrel Arsfene Mekinian elodie Regnier David Saadoun Joe-elie Salem Jeremie Sellam Philippe Seksik Anne Daguenel-Nguyen Valene Doppler Jeremie Mariau Eric Vicaut David Klatzmann 杨新蕾(译) 张卓莉(校) 不详北京大学第一医院

背景调节性T(Tregs)细胞可以预防自身免疫并控制炎症,在各种自身免疫性或自身炎症性疾病中的研究都表明Treg细胞不足。由于低剂量白细胞介素-2(low-dose interleukin-2,ld-IL2)能够扩增并激活Tregs细胞,因此ld-IL2具有广泛的治疗潜力。... 详细信息

背景调节性T(Tregs)细胞可以预防自身免疫并控制炎症,在各种自身免疫性或自身炎症性疾病中的研究都表明Treg细胞不足。由于低剂量白细胞介素-2(low-dose interleukin-2,ld-IL2)能够扩增并激活Tregs细胞,因此ld-IL2具有广泛的治疗潜力。目的我们通过一项临床试验观察ld-IL2治疗11种自身免疫性疾病中1种的效果,旨在评估ld-IL2的治疗潜力并选择疾病,以用于进一步的临床开发。方法本研究为前瞻开放性Ⅰ~Ⅱa期临床观察,入选了46例轻中度患者,诊断分别为类风湿关节炎、强直性脊柱炎、系统性红斑狼疮、牛皮癣、白塞病、肉芽肿性多血管炎、大动脉炎、克罗恩病、溃疡性结肠炎、自身免疫性肝炎或硬化性胆管炎。所有患者都接受了ld-IL2(100万IU/天)5天,然后每两周注射一次,维持6个月。所有患者均接受了深入的免疫监测和临床评估。结果在任何疾病类型以及任何合并药物治疗的患者中,ld-IL2都显示出了良好的耐受性。通过经典的免疫表型分析和广泛的免疫表型分析发现所有患者的Tregs细胞均被特异性地扩增激活,而效应T细胞没有被活化,提示ld-IL2具有临床疗效的前景。结论本研究中所采用的IL-2剂量和治疗方案可以选择性地激活和扩增Tregs细胞,并且对于不同的疾病种类以及不同的合并用药都是安全的。这一临床疗效以及初步结果可以为ld-IL2在各种自身免疫和自身炎症性疾病中开展Ⅱ期临床试验观察疗效提供了依据。试验注册号NCT01988506.

关键词：白细胞介素-2 自身免疫疾病临床疗效临床试验低剂量自身免疫性疾病免疫学免疫表型分析