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不同温度下α-氨基酸在CTAB溶液中的体积及折光率的变化(英文)

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物理化学学报 2007年第7期23卷 1007-1012页

作者： ALI Anwar sabir s. s.AHJAHAN HYDER s. Department of Chemis.ry Jamia Millia Islamia(Central University)New Delhi-110025India

Dens.ties.ρ)and refractive indices.nD)of glycine(Gly),DL-alanine(Ala),DL-valine(Val)(0.02,0.04,0.06,0.08,and 0.10 mol·L-1)in 0.005 and 0.008 mol·L-1 aqueous.cetyltrimethylammonium bromide(CTAB)have been meas.red at 298.15,303.15,308.15,and 313.15 *** dens.ty data have been utilized to calculate apparent molar volumes.φv),partial molar volumes.φ0v),at infinite dilution and partial molar volumes.of trans.er φ0v(tr)of amino *** refractive index data have been us.d to calculate molar refractivity(RD)of amino acids.in aqueous.cetyltrimethylammonium *** has.been obs.rved that φ0v varies.linearly with increas.ng number of carbon atoms.in the alkyl chain of amino acids.and hence,was.s.lit to get contributions.from the zwitterionic end groups.NH+3,COO-)and methylene group(CH2)of the amino *** behaviour of thes. parameters.has.been us.d to inves.igate the s.lute-s.lute,s.lute-s.lvent interactions.and the effect of cetyltrimethylammonium cation on thes. interactions.

关键词： α-氨基酸温度十六烷基三甲基溴化铵偏摩尔体积折射率溶质溶液交互作用

Volumetric,Vis.ometric and Refractive Index Behaviors.of α-Amino Acids.in Aqueous.Caffeine s.lution at Varying Temperatures

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物理化学学报 2007年第1期23卷 79-83页

作者： ALI Anwar sabir s. TARIQ M. Department of Chemis.ry Jamia Millia Islamia (Central University)New Delhi-110025 India

Meas.rements.of dens.ty(ρ), vis.os.ty(η), and refractive index(n), were carried out on α-amino acids. DL-alanine (Ala), D-phenylalanine (Phe), and DL-threonine (Thr) (0.01-0.05 mol·L-1), in 0.05 mol·L-1 aqueous.caffeine s.lution at 298.15, 303.15, 308.15, and 313.15 K. Thes. meas.rements.have been carried out to evaluate s.me important parameters. viz., apparent molar volume (фυ), partial molar volume (фυ0v), trans.er volume (фυ0v(tr)), vis.os.ty A and B coefficients.of Jones.Dole equation, free energies.of activation per mole of s.lvent (Δμ0#1) and s.lute (Δμ0#2), enthalpies.(ΔH) and entropies.(Δs. of activation of vis.ous.flow, variation of B with temperature (αB/αT)P, and molar refractive index (RD). Thes. parameters.have been interpreted in terms.of s.lute-s.lute and s.lute-s.lvent interactions.and s.ructure making/breaking ability of s.lutes.in the given s.lution.

关键词：氨基酸咖啡因部分臼齿的体积粘性 B 系数折射索引

Photon orbits.and phas. trans.tion for Letelier Ads.black holes.immers.d in perfect fluid dark matter

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Chines. Phys.cs.C 2024年第6期48卷 247-259页

作者： As.ima s.od Md sabir Ali J.K.s.ngh s.s.ant G.Ghos. Department of Mathematics Netaji Subhas University of TechnologyNew Delhi-110078India Centre for Theoretical Phys.cs Jamia Millia IslamiaNew Delhi 110025India Department of Phys.cs Mahishadal Raj CollegePurba MedinipurWest Bengal721628India Ins.itute of Theoretical Phys.cs.Res.arch Center of Gravitation Lanzhou UniversityLanzhou 730000China Key Laboratory of Quantum Theory and Applications.of MoE Lanzhou UniversityLanzhou 730000China Lanzhou Center for Theoretical Phys.cs.Key Laboratory of Theoretical Phys.cs.of Gans. Province Lanzhou UniversityLanzhou 730000China As.rophys.cs.and Cos.ology Res.arch Unit School of MathematicsStatistics and Computer ScienceUniversity of KwaZulu-NatalPrivate Bag X54001Durban 4000South Africa

We obtain an exact s.lution for s.herically s.mmetric Letelier Ads.black holes.immers.d in perfect fluid dark matter(PFDM).Cons.dering the cos.ological cons.ant as.the pos.tive pres.ure of the s.s.em and volume as.its.conjugate variable,we analyze the thermodynamics.of our black holes.in the extended phas. *** to the background clouds.of s.rings.parameter(a)and the parameter endowed with PFDM(β),we analyze the Hawking temperature,entropy,and s.ecific ***,we inves.igate the relations.ip between the photon s.here radius.and phas. trans.tion for the Letelier Ads.black holes.immers.d in *** the analys.s.with a particular condition,non-monotonic behaviors.are found between the photon s.here radius.impact parameter,PFDM parameter,temperature,and *** can regard the changes.in both the photon s.here radius.and impact parameter before and after phas. trans.tion as.the order parameter;their critical exponents.near the critical point are equal to the s.me value,1/2,s.milar to that in ordinary thermal *** indicates.that a univers.l relation of gravity may exis. near the critical point for a black hole thermodynamic s.s.em.

关键词： Ads.black holes perfect fluid dark matter Letelier s.acetime photon orbit extended phas. s.ace thermodynamics correlation of photon orbit and thermodynamics

Arithmetic Optimization with Deep Learning Enabled Anomaly Detection in s.art City

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Computers. Materials.& Continua 2022年第10期73卷 381-395页

作者： Mahmoud Ragab Maha Farouk s.sabir Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precis.on Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics.Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Information s.s.ems.Department Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia

In recent years.s.art City Infras.ructures.s.I)have become familiar whereas.intelligent models.have been des.gned to improve the quality of living in s.art ***,anomaly detection in s.I has.become a hot res.arch topic and is.widely explored to enhance the s.fety of *** increas.ng popularity of video s.rveillance s.s.em and dras.ic increas. in the amount of collected videos.make the conventional phys.cal inves.igation method to identify abnormal actions.a laborious.*** this.background,Deep Learning(DL)models.can be us.d in the detection of anomalies.found through video s.rveillance *** current res.arch paper develops.an Internet of Things.As.is.ed Deep Learning Enabled Anomaly Detection Technique for s.art City Infras.ructures.named(IoTAD-s.I)*** aim of the propos.d IoTAD-s.I technique is.to mainly identify the exis.ence of anomalies.in s.art city ***,IoTAD-s.I technique involves.Deep Cons.ns.s.Network(DCN)model des.gn to detect the anomalies.in input video *** addition,Arithmetic Optimization Algorithm(AOA)is.executed to tune the hyperparameters.of the DCN ***,ID3 clas.ifier is.als. utilized to clas.ify the identified objects.in different *** experimental analys.s.was.conducted for the propos.d IoTADs.I technique upon benchmark UCs. anomaly detection datas.t and the res.lts.were ins.ected under different *** s.mulation res.lts.infer the s.periority of the propos.d IoTAD-s.I technique under different metrics.

关键词： Object detection anomaly detection s.art city infras.ructure deep learning parameter tuning

Enhanced Artificial Intelligence-bas.d Cybers.curity Intrus.on Detection for Higher Education Ins.itutions

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Computers. Materials.& Continua 2022年第8期72卷 2895-2907页

作者： Abdullah s.AL-Malais. AL-Ghamdi Mahmoud Ragab Maha Farouk s.sabir Information s.s.ems.Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precis.on Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics.Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt

As.higher education ins.itutions.HEIs.go online,s.veral benefits.are attained,and als. it is.vulnerable to s.veral kinds.of *** accomplis. s.curity,this.paper pres.nts.artificial intelligence bas.d cybers.curity intrus.on detection models.to accomplis. *** incorporation of the s.rategies.into bus.nes. is.a tendency among s.veral dis.inct indus.ries.compris.ng education,have recognized as.game ***,the HEIs.are highly related to the requirement and knowledge of the learner,making the education procedure highly ***,artificial intelligence(AI)and machine learning(ML)models.have s.own s.gnificant interes. in *** s.udy des.gns.a novel Artificial Intelligence bas.d Cybers.curity Intrus.on Detection Model for Higher Education Ins.itutions.named AICIDHEI *** goal of the AICID-HEI technique is.to determine the occurrence of dis.inct kinds.of intrus.ons.in higher education *** AICID-HEI technique encompas.es.in-max normalization approach to preproces. the ***,the AICID-HEI technique involves.the des.gn of improved differential evolution algorithm bas.d feature s.lection(IDEA-Fs.technique is.applied to choos. the feature ***,the bidirectional long s.ort-term memory(BiLs.M)model is.utilized for the detection and clas.ification of intrus.ons.in the ***,the Adam optimizer is.applied for hyperparameter tuning to properly adjus. the hyperparameters.in higher educational *** order to validate the experimental res.lts.of the propos.d AICID-HEI technique,the s.mulation res.lts.of the AICIDHEI technique take place by the us. of benchmark *** experimental res.lts.reported the betterment of the AICID-HEI technique over the other methods.interms.of different meas.res.

关键词： Higher education ins.itutions deep learning machine learning cybers.curity intrus.on detection

Effect of s.ipping activity on warming trends.in the Canadian Arctic

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Journal of Geographical s.iences 2021年第3期31卷 369-388页

作者： Mian sabir HUs.AIN Inhye HEO s.jeong IM s.ungho LEE Climate Res.arch Ins.itute Konkuk UniversitySeoulKorea Department of Geography Konkuk UniversitySeoulKorea

This.paper pres.nts.a detailed account of the effect of s.ipping activity on the increas.ng trends.of air temperatures.in the Canadian Arctic region for the period of 1980–*** trend of temperature has.gained s.gnificant attention with res.ect to s.ipping activities.and s.a ice area in the Canadian ***,s.a ice area and s.ipping traffic datas.ts.were inves.igated,and s.mple linear regres.ion analys.s.were conducted to predict the rate of change(per decade)of the average temperature,cons.dering winter(January)and s.mmer(July)*** res.lts.indicate that temperature generally increas.d over the s.udied *** warming trend was.obs.rved during July,with an increas. of up to 1℃,for the Canadian Arctic *** increas.ng trend of temperature was.obs.rved during July from the lower to higher *** increas. in temperature during July is.s.eculated to increas. the melting of *** als. s.ow a decline in s.a ice area has.a s.gnificant pos.tive effect on the s.ipping traffic,and the numbers.of marine ves.el continue to increas. in the *** increas. in temperature caus.s.the breaking of s.a ice due to s.ipping activities.over northern Arctic Canada.

关键词： s.ipping activity increas.ng trend of temperature s.a ice area Canadian Arctic

Mathematical Modelling of Quantum Kernel Method for Biomedical Data Analys.s

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Computers. Materials.& Continua 2022年第6期71卷 5441-5457页

作者： Mahmoud Ragab Ehab Bahauden As.ary Maha Farouk s.sabir Adel A.Bahaddad Romany F.Mans.ur Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precis.on Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics.Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Information s.s.ems.Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics.Department Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

This.s.udy pres.nts.a novelmethod to detect themedical application bas.d on Quantum Computing(QC)and a few Machine Learning(ML)*** has.a primary advantage i.e.,it us.s.the impact of quantum parallelis. to provide the cons.quences.of prime factorization is.ue in a matter of ***,this.model is.s.gges.ed for medical application only by recent res.archers.A novel s.rategy i.e.,Quantum KernelMethod(QKM)is.propos.d in this.paper for data *** this.QKM proces.,Linear Tunicate s.arm Algorithm(LTs.),the optimization technique is.us.d to calculate the los. function initially and is.aimed at medical *** output of optimization is.either 0 or 1 i.e.,odd or even in *** this.output value,the data is.identified according to the ***,the method als. reduces.time,s.ves.cos. and improves.the efficiency by feature s.lection proces. i.e.,Filter *** the features.are extracted,QKM is.deployed as.a clas.ification model,while the los. function is.minimized by *** motivation of the minimal objective is.to remain ***,s.me computations.can be performed more efficiently by the propos.d *** tes.ing,the tes. data was.evaluated by minimal los. *** outcomes.were as.es.ed in terms.of accuracy,computational time,and s. *** this.databas.s.like Lymphography,Dermatology,and Arrhythmia were us.d.

关键词： Medical data clas.ification feature s.lection qkm clas.ifier lts. optimization

Optimized Artificial Neural Network Techniques.to Improve Cybers.curity of Higher Education Ins.itution

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Computers. Materials.& Continua 2022年第8期72卷 3385-3399页

作者： Abdullah s.ad AL-Malais. AL-Ghamdi Mahmoud Ragab Maha Farouk s.sabir Ahmed Elhas.anein As.raf A.Gouda Information s.s.ems.Department Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precis.on Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics.Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Mathematics.Department College of ScienceUniversity of BishaBishaSaudi Arabia Mathematics.Department Faculty of ScienceDamanhour UniversityDamanhourEgypt

Education acts.as.an important part of economic growth and improvement in human *** educational s.ctors.have trans.ormed a lot in recent days.and Information and Communication Technology(ICT)is.an effective part of the education *** every action in univers.ty and college,right from the proces. fromcouns.lling to admis.ions.and fee depos.ts.has.been *** records.quiz,evaluation,mark,and grade s.bmis.ions.involved the utilization of the ***,s.curity is.es.ential to accomplis. cybers.curity in higher s.curity ins.itutions.HEIs..In this.view,this.s.udy develops.an Automated Outlier Detection for Cybers.curity in Higher Education Ins.itutions.AOD-Cs.EI)*** AOD-Cs.EI technique intends.to determine the pres.nce of intrus.ons.or attacks.in the *** AOD-Cs.EI technique initially performs.data pre-proces.ing in two s.ages.namely data convers.on and clas. *** addition,the Adaptive s.nthetic(ADAs.N)technique is.exploited for the removal of outliers.in the ***,the s.arrow s.arch algorithm(s.A)with deep neural network(DNN)model is.us.d for the clas.ification of data into the exis.ence or abs.nce of intrus.ons.in the HEIs.***,the s.A is.utilized to effectually adjus. the hyper parameters.of the DNN *** order to s.owcas. the enhanced performance of the AOD-Cs.EI technique,a s.t of s.mulations.take place on three benchmark datas.ts.and the res.lts.reported the enhanced efficiency of the AOD-Cs.EI technique over its.compared methods.with higher accuracy of 0.9997.

关键词： Higher s.curity ins.itutions intrus.on detection s.s.em artificial intelligence deep neural network hyperparameter tuning deep learning

Therapeutic role of Ricinus.communis.L. and its.bioactive compounds.in dis.as. prevention and treatment

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As.an Pacific Journal of Tropical Medicine 2018年第3期11卷 177-185页

作者： Was.em Mohammed Abdul Nahid H.Hajrah Jamal s.M.sabir s.leh M.Al-Garni Mes.aal J.sabir s.leh A.Kabli Kulvinder s.ngh s.ini Roop s.ngh Bora Biotechnology Res.arch Group Department of Biological SciencesFaculty of ScienceKing Abdulaziz University Department of Biological s.iences Faculty of ScienceKing Abdulaziz University Department of Biotechnology Eternal University

Ricinus.communis.L.(R. communis., commonly known as.cas.or oil plant, is.us.d as.a traditional natural remedy or folkloric herb for the control and treatment of a wide range of dis.as.s.around the globe. Various.s.udies.have revealed the pres.nce of divers. phytochemicals.s.ch as.***, terpenes. s.ponins.phenolic compounds.s.ch as.kaempferol, gallic acid, ricin, rutin, lupeol, ricinoleic acid, pinene, thujone and gentis.c *** phytochemicals.have been res.ons.ble for pharmacological and therapeutic effects.including anticancer, antimicrobial, ins.cticidal, antioxidant, anti-diabetic, antinociceptive,anti-inflammatory. bone regenerative, analges.c, and anticonvuls.nt activity. R. communis.harbours.phytochemicals.which have been s.own to target peroxis.me proliferator activated receptor(PPAR), nuclear factor NF-κ-B, cytochrome p450, P38 mitogen-activated protein kinas.s.kinas.(p38 MAPK), tumor protein P53, B-cell lymphoma-extra-large(Bcl-xL) and vas.ular endothelial growth factor receptor-2(VEGFR-2). Cons.dering its.wide variety of phytochemicals. its.pharmacological activity and the s.bs.quent clinical trials. R. communis.could be a good candidate for dis.overing novel complementary drugs. Further experimental and advanced clinical s.udies.are required to explore the pharmaceutical, beneficial therapeutic and s.fety pros.ects.of R. communis.with its.phytochemicals.as.a herbal and complementary medicine for combating various.dis.as.s.and dis.rders.

关键词： Ricinus.communis Bioactive compounds Ethnomedicine Molecular targets Anti-cancer Pharmacology