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Erratum to:Extraction equilibria and kinetics of Ti(IV)from leached chloride liquors of ilmenite

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Rare Metals 2024年第11期43卷 6123-6123页

作者： abd elaziz a.nayl Hisham F.Aly Chemistry Department College of ScienceAl Jouf UniversitySkaka 2014SaudiArabia Hot Labs Centre Atomic Energy AuthorityCairo 13759Egypt

Erratum to:RareMet.D0I 10.1007/s12598-015-0590-6 Unfortunately,in the original publication of the article the author name and the mol value present in Sect.2.2 have appeared incorrectly as below.

关键词： kinetics equilibria Rare

Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic Hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea Hamiden abd El-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： Hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

The influence of Thomson effect and inclined loads in an electro-magneto-thermoelastic solid with voids under green-Naghdi theories

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Journal of Ocean Engineering and Science 2018年第3期3卷 253-264页

作者： Elsayed M.abd-elaziz Mohamed I.M.Hilal Department of Mathematics Zagazig UniversityFaculty of ScienceP.O.Box 44519ZagazigEgypt

The present investigation deals with the 2-dimensional deformation in a homogeneous thermoelastic solid with voids subjected to inclined *** heat conduction equation is affected with the Thomson *** basic governing equations are modified by using Green-Naghdi theory of *** normal mode analysis technique is used to obtain the components of stress,strain,temperature,induced magnetic field and change in volume fraction *** variations of these quantities have been depicted graphically in the Green-Naghdi theories of type-II and III for an insulated *** numerical calculations,the effect of Thomson parameter and angle of inclination on a homogeneous,isotropic,electro-magneto-thermoelastic material with voids is revealed and discussed.

关键词： Electro-magneto-thermoelasticity Normal mode method Inclined loads Voids Thomson effect Green-Naghdi theory

Modified aquila optimizer for forecasting oil production

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Geo-Spatial Information Science 2022年第4期25卷 519-535页

作者： Mohammed A.A.Al-qaness Ahmed A.Ewees Hong Fan Ayman Mutahar AlRassas Mohamed abd elaziz State Key Laboratory for Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Systems University of Bisha Department of e-BishaKingdom of Saudi Arabia Department of Computer Damietta UniversityDamiettaEgypt School of Petroleum Engineering China University of Petroleum(East China)QingdaoChina Department of Mathematics Faculty of ScienceZagazig UniversityZagazigEgypt Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman 346United Arab Emirates Faculty of Computer Science&Engineering Galala UniversitySuze 435611Egypt

Oil production estimation plays a critical role in economic plans for local governments and ***,many studies applied different Artificial Intelligence(AI)based meth-ods to estimate oil production in different *** Adaptive Neuro-Fuzzy Inference System(ANFIS)is a well-known model that has been successfully employed in various applica-tions,including time-series ***,the ANFIS model faces critical shortcomings in its parameters during the configuration *** this point,this paper works to solve the drawbacks of the ANFIS by optimizing ANFIS parameters using a modified Aquila Optimizer(AO)with the Opposition-Based Learning(OBL)*** main idea of the developed model,AOOBL-ANFIS,is to enhance the search process of the AO and use the AOOBL to boost the performance of the *** proposed model is evaluated using real-world oil produc-tion datasets collected from different oilfields using several performance metrics,including Root Mean Square Error(RMSE),Mean Absolute Error(MAE),coefficient of determination(R2),Standard Deviation(Std),and computational ***,the AOOBL-ANFIS model is compared to several modified ANFIS models include Particle Swarm Optimization(PSO)-ANFIS,Grey Wolf Optimizer(GWO)-ANFIS,Sine Cosine Algorithm(SCA)-ANFIS,Slime Mold Algorithm(SMA)-ANFIS,and Genetic Algorithm(GA)-ANFIS,***,it is compared to well-known time series forecasting methods,namely,Autoregressive Integrated Moving Average(ARIMA),Long Short-Term Memory(LSTM),Seasonal Autoregressive Integrated Moving Average(SARIMA),and Neural Network(NN).The outcomes verified the high performance of the AOOBL-ANFIS,which outperformed the classic ANFIS model and the compared models.

关键词： Oil production ANFIS opposition-based learning(OBL) Aquila Optimizer(AO) time series forecasting Tahe oilfield Sunah oilfield

Dysphagia and daily oral fluids among cerebrovascular stroke patients:an theory-based nursing intervention protocol

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Frontiers of Nursing 2023年第2期10卷 213-222页

作者： Zeinab Hussein Ali Marwa abd-elaziz Amany abdrbo Department of Adult Health Nursing Faculty of NursingHelwan UniversityAin HelwanCairo 11795Egypt Department of Adult Health Nursing&Focal Point of International Relations Faculty of NursingHelwan UniversityAin HelwanCairo 11795Egypt Nursing Department Almoosa College for Health SciencesEastern Province 31982Saudi Arabia

Objective:To evaluate the improvement of dysphagia and the daily amounts of oral fluids served among people who had recently experienced a cerebrovascular stroke(CVS)after applying a nursing intervention ***:A quasi-experimental design was used to examine 60 stroke patients who were randomly and alternatively divided equally into a study group and a control *** Swallowing Screen(GUSS)and fluid balance chart were *** the first 24 h of a patient’s admission,expert nurses were trained in nursing intervention protocol to manage dysphagia and daily oral ***:Post-nursing intervention,the severity of dysphagia decreased among the study group more than in the control ***,the study group began taking greater amounts of fluids by the oral route than before the nursing ***:A standardized nursing intervention protocol is needed to decrease the severity of dysphagia after CVS and increase the amount of daily oral *** presence of a structured theory-based nursing intervention protocol for dysphagia management will greatly contribute to decreasing the consequences of dysphagia after CVS,and can also be expected to attenuate the effects of aspiration pneumonia,dehydration,and malnutrition;further,it also increases adherence to the protocol by both nurses and patients.

关键词： dysphagia evidence-based health behavior nursing intervention oral fluid serving stroke

Identification of potential soil water retention using hydric numerical model at arid regions by land-use changes

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International Soil and Water Conservation Research 2015年第4期3卷 305-315页

作者： Mohamed Abu-hashim Elsayed Mohamed abd-elaziz Belal Soil Science Department Zagazig UniversityZagazig44511Egypt National Authority for Remote Sensing and Space Sciences(NARSS) Cairo19765Egypt

Assessment of soil water retention in arid region is an input required parameter in precision water management at large *** were carried out in Tanta catchment in the middle Nile Delta,Egypt(30145 N,30155 E),where collecting soil samples covered different hydrological soil groups and *** on the natural resource conservation service curve number model(NRCS-CN),CN approach was used to investigate the effect of spatio-temporal variations of different land-uses on soil water *** soil water retention from 1990 to 2015 was reduced by 118.1 m^(3) per hectare with decreasing cropland *** encroachment from 1990 to 2015 was increased by 2.13%by decreasing cropland with 15.3%(5300 ha in 2015).This resulted in losing the potential soil water retention by 625,968.42 m^(3) water for the whole catchment *** of land degradation was pronounced,where 2.65%,29.35%,and 1.11%of the initial crop land-use in 1990 were converted to bare soil,fallow,and urban area,respectively in *** of(S)value of the NRCS-CN model with GIS technique provides useful measure to identify land-use changes of potential water storage capacity at catchment scale.

关键词： Curve number model Land-use Potential water retention Spatio-temporal variations

Effects of Lidocaine Infusion on Quality of Recovery and Agitation after Functional Endoscopic Sinus Surgery: Randomized Controlled Study

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Open Journal of Anesthesiology 2020年第12期10卷 435-448页

作者： Rehab abd Elraof abd elaziz Shahenda Shaban Shaker abd elaziz Department of Anesthesia and Surgical Intensive Care Faculty of Medicine Alexandria University Alexandria Egypt

Background: After functional endoscopic nasal surgery, emergence agitation is not uncommon. The aim of this trial was to investigate the effect of perioperative lidocaine infusion on postoperative early recovery quality and incidence of emergence agitation in patient undergoing functional endoscopic sinus surgery. Study Design: Prospective, randomized, double-blinded, placebo-controlled trial. Methods: 100 patients of ASA I and II, aged 18 - 50 years, of both sexes scheduled for FEES, were assigned into two groups. In Group L;patients received an intravenous bolus infusion of 1.5 mg/kg lidocaine just before induction of anesthesia followed by a continuous infusion of 2 mg/kg/h during the operation and until the end of the surgery. In Group C;patients received normal saline infusion with the same volume as group L according to the same protocol. The primary endpoints were incidence of emergence agitation and postoperative recovery quality (QoR-40) score on first postoperative day (POD1). Results: Incidence of emergence agitation was significantly lower in group L (P 0.05) compared with group C. Global QoR-40 scores on POD1 were significantly lower in both groups compared with preoperative assessment, it was significantly higher in group L on POD1 (P 0.05) than in group C. Among the five dimensions of QoR-40, the scores for physical comfort and pain were superior in group L compared to group C (P 0.05) at POD1. Conclusion:

关键词： Lidocaine Quality of Recovery-40 Questionnaire Emergence Agitation FEES

A smart simple spectrophotometric method for simultaneous determination of binary mixtures

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Journal of Pharmaceutical Analysis 2012年第5期2卷 382-385页

作者： Eman S.Elzanfaly Ahmed S.Saad abd elaziz B.abd Elaleem Analytical Chemistry Department Faculty of PharmacyCairo UniversityKasr-El Aini Street11562 CairoEgypt

A new simple spectrophotometric method was developed for the simultaneous determination of drugs with interfering spectra in binary mixtures without previous separation. The new method is based on a simple modification for the ratio subtraction method. This modification enabled wider range of application. The proposed ratio difference method was applied for the determination of brimonidine and timolol in laboratory prepared mixtures with mean percentage recoveries 100.40±2.29 and 101.23± 1.30 respectively, and in their pharmaceutical formulation with mean percentage recoveries 101.08±0.44 and 100.66±0.52 respectively. The suggested ratio difference method was validated according to USP guidelines and can be applied for routine aualitv control testing.

关键词： Spectrophotometry Ratio difference Binary mixtures Brimonidine Timolol

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