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Journal of Earth Science 2024年

作者： mohamed M.Gomaa Emad A.Abd El Aziz Geophysical Sciences Department National Research Centre El-Behoos St. Dokki Cairo Egypt.

The Zeit sand reservoir is one of the most prolific formations at Northwestern side of the Gulf of Suez. In this research we will try to coordinate between electrical， petrophysical properties， depositional environment and facies discrimination in order to evaluate the hydrocarbon potentiality of studied Zeit formation. The statistical parameters for potassium (K)， thorium (Th) and Th/U ratio contents have a general increase towards northwestern parts， whereas uranium (U) content has a general increase towards southeastern parts. The sandstone facies is distinguished from the other facies by its thorium content >4 ppm. U has high carbonate content (U ≥1 ppm). Rocks’ electrical properties vary greatly depending on a number of factors. Electrical measurements were taken at frequencies range of (5×10-4Hz–100 kHz) for fully saturated samples (clayey sandstone) with NaCl (20 gm/Littre). As salinity， clay content， and frequency increase， consequently does the electrical properties. The continental condition are present in northwestern part (back-sea) which is distinguished by high K percent， high Th， high Th/U ratio， and low U contents. Low K， Th， and Th/U ratio contents， with high U contents， characterize the marine depositional environment that existed around the east and southeastern parts (fore-sea coincide with the dipping of strata). Furthermore， the studied Zeit Formation has good petrophysical properties that coincide with marine conditions. The middle and eastern parts (around ISS-94 and CSS-288) is a good reservoir (porosity 36%–39%， shale content <15%， hydrocarbon saturation 71%–92%， and net pay thickness 17–63 feet).

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Angular unconformity in Pennsylvanian strata from 3-D seismic interpretation,Goldsmith Field,West Texas

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 298-303页

作者： Edwin I.Egbobawaye Nelly Omoruyi Abdulmutallib Aminu Robert Trentham mohamed K.Zobaa Sumit Verma Kinder Morgan MidlandTX79705USA Department of Geosciences University of Texas Permian BasinOdessaTX79762USA

The Pennsylvanian unconformity,which is a detrital surface,separates the beds of the Permian-aged strata from the Lower Paleozoic in the Central Basin *** data interpretation indicates that the unconformity is an angular unconformity,overlying multiple normal faults,and accompanied with a thrust fault which maximizes the region's structural ***,the Pennsylvanian angular unconformity creates pinch-outs between the beds above and *** computed the spectral decomposition and reflector convergence attributes and analyzed them to characterize the angular unconformity and *** spectral decomposition attribute divides the broadband seismic data into different spectral bands to resolve thin beds and show thickness *** contrast,the reflector convergence attribute highlights the location and direction of the pinch-outs as they dip south at angles between 2and 6.After reviewing findings from RGB blending of the spectrally decomposed frequencies along the Pennsylvanian unconformity,we observed channel-like features and multiple linear bands in addition to the faults and *** can be inferred that the identified linear bands could be the result of different lithologies associated with the tilting of the beds,and the faults may possibly influence hydrocarbon migration or act as a flow barrier to entrap hydrocarbon *** identification of this angular unconformity and the associated features in the study area are vital for the following reasons:1)the unconformity surface represents a natural stratigraphic boundary;2)the stratigraphic pinch-outs act as fluid flow connectivity boundaries;3)the areal extent of compartmentalized reservoirs'boundaries created by the angular unconformity are better defined;and 4)fault displacements are better understood when planning well locations as faults can be flow barriers,or permeability conduits,depending on facies heterogeneity and/or seal effectiveness of a fault,which c

关键词： Pennsylvanian unconformity Seismic data interpretation Spectral decomposition Reflector convergence Reservoir characterization

Enhanced recovery after surgery:Progress in adapted pathways for implementation in standard and emerging surgical settings

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World Journal of Clinical Cases 2024年第25期12卷 5636-5641页

作者： mohamed Wishahi Nabawya M Kamal mohamed Saied Hedaya Department of Urology Theodor Bilharz Research InstituteCairo 12411Egypt Department of Anaesthesia and Surgical Intensive Care Theodor Bilharz Research InstituteCairo 12411Egypt Department of Surgery Theodore Bilharz Research InstituteCairo 12411Egypt

The concept of enhanced recovery after surgery(ERAS)has been practiced for decades and has been implemented in numerous surgical *** is a global surgical quality improvement initiative,and it is an element in the field of perioperative *** had shown significant clinical outcomes,patientreported satisfaction,and improvements in medical service *** has been developed for specific surgical procedures,but with the fast progress of newly introduced surgical procedures,the original ERAS have been developed and *** appearing Topics and future research trends encompass ERAS protocols for other types of surgery and the enhancement of perioperative status,including but not limited to pediatric surgery,laparoscopic and robotic assisted surgery,bariatric surgery,thoracic surgery,and renal *** elements and pathways of ERAS have been developed with the introduction of up-to-date methodologies in the pre-operative,operative,and post-operative *** costs are higher than traditional care,but the patient’s clinical outcome and satisfaction are *** is in progress in the fields of anesthetic tasks,pediatric surgery,and organ *** ERAS has shown significant clinical outcomes,there are needs to modify the protocol for specific cases,hospital facilities,resources,and nurses training on elements of *** challenges and limitations exist in the implementation of ERAS that deserve consideration,it includes:Frailty,maximizing nutrition,prehabilitation,treating preoperative anemia,and enhancing ERAS adoption globally are all included.

关键词： Enhanced recovery after surgery Anesthesia Nurses Elderly Bowel preparation ERAS Perioperative nutrition Major&ambulatory surgery

Artificial Intelligence Prediction of One-Part Geopolymer Compressive Strength for Sustainable Concrete

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 525-543页

作者： mohamed Abdel-Mongy Mudassir Iqbal M.Farag Ahmed.M.Yosri Fahad Alsharari Saif Eldeen A.S.Yousef Department of Civil Engineering College of EngineeringJouf UniversitySakaka72388Saudi Arabia Department of Civil Engineering University of Engineering and TechnologyPeshawar54890Pakistan Civil Engineering Department Faculty of EngineeringAl-Azhar UniversityCairo11884Egypt Civil Engineering Department Faculty of EngineeringAswan UniversityAswan81528Egypt

Alkali-activated materials/geopolymer(AAMs),due to their low carbon emission content,have been the focus of recent studies on ecological *** terms of performance,fly ash and slag are preferredmaterials for precursors for developing a one-part ***,determining the optimum content of the input parameters to obtain adequate performance is quite challenging and scarcely ***,in this study,machine learning methods such as artificial neural networks(ANN)and gene expression programming(GEP)models were developed usingMATLAB and GeneXprotools,respectively,for the prediction of compressive strength under variable input materials and content for fly ash and slag-based one-part *** database for this study contains 171 points extracted from literature with input parameters:fly ash concentration,slag content,calcium hydroxide content,sodium oxide dose,water binder ratio,and curing *** performance of the two models was evaluated under various statistical indices,namely correlation coefficient(R),mean absolute error(MAE),and rootmean square error(RMSE).In terms of the strength prediction efficacy of a one-part geopolymer,ANN outperformed *** and parametric analysis were also performed to identify the significant contributor to *** to a sensitivity analysis,the activator and slag contents had the most effects on the compressive strength at 28 *** water binder ratio was shown to be directly connected to activator percentage,slag percentage,and calcium hydroxide percentage and inversely related to compressive strength at 28 days and curing temperature.

关键词： Artificial intelligence techniques one-part geopolymer artificial neural network gene expression modelling sustainable construction polymers

Insulin therapy in type 2 diabetes: Insights into clinical efficacy, patient-reported outcomes, and adherence challenges

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World Journal of Diabetes 2024年第5期15卷 828-852页

作者： Mahmoud Emad-Eldin Gehan F Balata Eman A Elshorbagy Mona S Hamed mohamed S Attia Department of Pharmacy Practice Faculty of PharmacyZagazig UniversityZagazig HFQM+872Al-Sharqia GovernorateEgypt Department of Pharmacy Practice Faculty of PharmacyHeliopolis UniversityCairo 44519Egypt Department of Pharmaceutics Faculty of PharmacyZagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt Department of Internal Medicine Faculty of MedicineZagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt Department of Community at Faculty of Medicine Zagazig UniversityZagazig 44519Al-Sharqia GovernorateEgypt

Insulin therapy plays a crucial role in the management of type 2 diabetes as the disease *** the past century,insulin formulations have undergone significant modifications and bioengineering,resulting in a diverse range of available insulin *** products show distinct pharmacokinetic and pharmacodynamic ***,various insulin regimens have em-erged for the management of type 2 diabetes,including premixed formulations and combinations of basal and bolus *** utilization of different insulin regimens yields disparate clinical outcomes,adverse events,and,notably,patient-reported outcomes(PROs).PROs provide valuable insights from the patient’s perspective,serving as a valuable mine of information for enhancing healthcare and informing clinical *** to insulin therapy,a critical patient-reported outcome,significantly affects clinical outcomes and is influenced by multiple *** review provides insights into the clinical effectiveness of various insulin preparations,PROs,and factors impacting insulin therapy adherence,with the aim of enhancing healthcare practices and informing clinical decisions for individuals with type 2 diabetes.

关键词： Adherence Diabetes Insulin Patient-reported outcomes Pharmacokinetic Pharmacodynamic

Edge Impulse Based ML-Tensor Flow Method for Precise Prediction of Remaining Useful Life (RUL) of EV Batteries

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Journal of Power and Energy Engineering 2024年第6期12卷 1-15页

作者： Tarik Hawsawi mohamed Zohdy Department of Electrical and Computer Engineering Oakland University Rochester USA Department of Electronic Technology Technical Vocational Training Corporation Dammam KSA

Electric Vehicle (EV) adoption is rapidly increasing, necessitating efficient and precise methods for predicting EV charging requirements. The early and precise prediction of the battery discharging status is helpful to avoid the complete discharging of the battery. The complete discharge of the battery degrades its lifetime and requires a longer charging duration. In the present work, a novel approach leverages the Edge Impulse platform for live prediction of the battery status and early alert signal to avoid complete discharging. The proposed method predicts the actual remaining useful life of batteries. A powerful edge computing platform utilizes Tensor Flow-based machine learning models to predict EV charging needs accurately. The proposed method improves the overall lifetime of the battery by the efficient utilization and precise prediction of the battery status. The EON-Tuner and DSP processing blocks are used for efficient results. The performance of the proposed method is analyzed in terms of accuracy, mean square error and other performance parameters.

关键词： Electric Vehicle EV Charging Machine Learning Lifetime Edge Computing

Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha Victor Hugo Cde Albuquerque Samia Allaoua Chelloug mohamed Abd Elaziz Shaik Hashmitha Mohisin Suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

Knock-out of BnHva22c reduces the susceptibility of Brassica napus to infection with the fungal pathogen Verticillium longisporum

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The Crop Journal 2024年第2期12卷 503-514页

作者： Wanzhi Ye Roxana Hossain Michael Prbsting Abdallah Abdelmegid mohamed Ali Lingyue Han Ying Miao Steffen Rietz Daguang Cai Dirk Schenke Department of Molecular Phytopathology and Biotechnology Institute of PhytopathologyChristian-Albrechts-University of KielKielGermany Institut für Zuckerrübenforschung GöttingenGermany Plant Pathology Department Faculty of Agriculture and Natural ResourcesAswan UniversityAswanEgypt Fujian Provincial Key Laboratory of Plant Functional Biology College of Life SciencesFujian Agriculture and Forestry UniversityFuzhou 350002FujianChina Hohenlieth-Hof NPZ Innovation GmbHHoltseeGermany

Verticillium longisporum(Vl43)is a soilborne hemibiotrophic fungal pathogen causing stem striping on oilseed rape(OSR)and severe yield *** for resistant varieties is the most promising approach to control this ***,we report the identification of Hva22c as a novel susceptibility factor and its potential for improving OSR ***22c is a member of the Hva22 gene family,originally described for barley(Hordeum vulgare).Several Hva22 members have been located at the endoplasmic ***22c is up-regulated in response to Vl43 in both Arabidopsis and *** demonstrate that knock-out of Hva22c in OSR by CRISPR/Cas9 and its homolog in Arabidopsis by T-DNA insertion reduced plants’susceptibility to Vl43 infection and impaired the development of disease *** understand the underlying mechanism,we analysed transcriptomic data from infected and non-infected roots of hva22c knock-out and wild type *** identified a homozygous mutant with frame-shifts in all four BnHva22c loci displaying a vastly altered transcriptional landscape at 6 ***,a large set of genes was suppressed under mock conditions including genes related to the endomembrane *** the up-regulated genes we found several defense-related and phytohormone-responsive genes when comparing mutant to the wild *** results demonstrate that Hva22c is functionally required for a fully compatible plant-fungus *** loss of function reduces plant susceptibility,most likely due to endoplasmatic reticulum and Golgi dysfunction accompanied by additionally activated defense *** findings can help improve OSR resistance to *** infection.

关键词： Hva22c Susceptibility factor CRISPR/Cas9 Brassica napus Arabidopsis Verticillium longisporum Resistance breeding

Strain engineering in electrocatalysis:Strategies,characterization,and insights

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Nano Research 2024年第5期17卷 3603-3621页

作者： Qibo Deng Peng Xu Hassanien Gomaa mohamed A.Shenashen Sherif A.El-Safty Cuihua An Li-Hua Shao Ning Hu School of Mechanical Engineering Hebei University of TechnologyTianjin 300401China Department of Chemistry Faculty of ScienceAl-Azhar University71524AssiutEgypt Department of Petrochemical Egyptian Petroleum Research Institute(EPRI)Nasr City11727CairoEgypt Center for Functional Materials National Institute for Materials Science(NIMS)1-2-1 SengenTsukubaIbaraki-ken305-0047Japan State Key Laboratory of Reliability and Intelligence Electrical Equipment Key Laboratory of Advanced Intelligent Protective Equipment TechnologyMinistry of Educationand School of Mechanical EngineeringHebei University of TechnologyTianjin 300401China National Key Laboratory of Strength and Structural Integrity Institute of Solid MechanicsSchool of Aeronautic Science and EngineeringBeihang UniversityBeijing100191China Advanced Equipment Research Institute Co. Ltd.of HEBUTTianjin 300401China

Strain engineering,as a cutting-edge method for modulating the electronic structure of catalysts,plays a crucial role in regulating the interaction between the catalytic surface and the adsorbed *** electrocatalytic performance is influenced by the electronic structure,which can be achieved by introducing the external forces or stresses to adjust interatomic spacing between surface *** challenges in strain engineering research lie in accurately understanding the mechanical impact of strain on *** paper first introduces the basic strategy for generating the strain,summarizes the different strain generation forms and their advantages and *** progress in researching the characterization means for the lattice strains and their applications in the field of electrocatalysis is also ***,the challenges of strain engineering are introduced,and an outlook on the future research directions is provided.

关键词： strain electrocatalysis characterization chemical reaction kinetics lattice mismatch

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救援设备应包括便携式医疗成像系统

Science Bulletin 2024年第12期69卷 1819-1822页

作者： mohamed L.Seghier Nabil Maalej Department of Biomedical Engineering Khalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates Healthcare Engineering Innovation Center(HEIC) Khalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates Physics Department Khalifa University of Science and TechnologyAbu Dhabi 127788United Arab Emirates

In the last years,several countries have been devastated by natural disasters,resulting in thousands of casualties and *** missions were quick to respond to the needs of many devasted regions,providing critical interventions,life support equipment,and vital ***,rescue missions are still relying on traditional emergency equipment and tools that do not always have the capacity for critical diagnosis in disaster areas.

关键词：救援设备 injuries disaster