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Effect of different additives on the phase separation behavior and thermodynamics of p-tert-alkylphenoxy poly (oxyethylene) ether in absence and presence of drug

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Chinese Journal of Chemical Engineering 2018年第5期26卷 1110-1118页

作者： Marzia Rahman Md. Anamul Hoque mohammed abdullah khan Malik Abdul Rub abdullah M. Asiri Department of Chemistry Jahangirnagar University Savar Dhaka 1342 Bangladesh Chemistry Department Faculty of Science King Abdulaziz University Jeddah 21589 Saudi Arabia Center of Excellence for Advanced Materials Research King Abdulaziz UniversityJeddah 21589 Saudi Arabia

Cloud point （CP） determinations of 4-（1,1,3,3-tetramethylbutyl）phenyl-polyethylene glycol （TX-100 （nonionic surfactant）） was carried out in aqueous as well as in the attendance of drug （ceftriaxone sodium trihydrate （CFT））/（CFT ＋ different inorganic salts） and discussed thoroughly. Nonionic surfactants are employed exten- sively in different formulations. In aqueous solution, the values of CP of TX-100 are obtained to increase by means of enhancing of their concentration in the solution. The CP values of TX-100 solutions were found to de- crease in the presence of drug and their values decrease more with rising concentrations of the drug. The values of CP of CFT and TX-100 mixtures were found to further decrease in the attendance of inorganic salts in compar- ison to their absence. The effect of different sodium salts in decreasing CP values of TX-100 was achieved in the following order： NaCO3 〉 Na2SO4 〉 NaCl. However, in the case of potassium and ammonium salts, the decreasing order obtained is K2SO4 〉 KCO3 〉 KCI and （NH4）2SO4 〉 Na2CO3 〉 NH4Cl respectively. Various thermodynamic pa- rameters for example standard free energy （△G c）, standard enthalpy （△H c） as well as standard entropy （△S c） changes of phase separation were also evaluated and discussed in detail on the basis of their behavior.

关键词： Cloud point TX-100 Ceftriaxone sodium trihydrate Inorganic salts Thermodynamic parameters

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Interaction of cetyltrimethylammonium bromide with cefixime trihydrate drug at different temperatures and compositions: Effect of different electrolytes

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Chinese Journal of Chemical Engineering 2019年第8期27卷 1895-1903页

作者： Marzia Rahman Md.Anamul Hoque Malik Abdul Rub mohammed abdullah khan Department of Chemistry Jahangirnagar UniversitySavarDhaka 1342Bangladesh Chemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Center of Excellence for Advanced Materials Research King Abdulaziz UniversityJeddah 21589Saudi Arabia

Herein,conductivity measurements have been carried out to explore the interaction between cetyltrimethylammonium bromide(CTAB,a cationic surfactant) and antibiotic drug(cefixime trihydrate(CMT)) in water and also in occurrence of inorganic salts(NaCl,Na2 SO4 and Na3 PO4) over the temperature range of 303.15-323.15 K with an interval of 5 *** all cases,two critical micelle concentrations(c^*) were achieved for the CMT-surfactant *** of CMT drug to CTAB solution decreases the values of c^* which indicates the interaction between CMT and *** values of c^* for CMT-CTAB mixture in the presence of salts are lower in magnitude compared to the aqueous medium which indicates that micellization of the CMT-CTAB mixed system is favorable in salt *** values of △Gm^0 were obtained to be negative indicating the spontaneity of the micellization process and the extent of spontaneity further increases by means of rising *** obtained outcomes from the ΔHm^0 and ΔSm^0 values disclose that the interactions between CMT and CTAB are mostly electrostatic along with hydrophobic in *** thermodynamic parameters of transfer and enthalpy-entropy compensation phenomenon were also determined and discussed in detail.

关键词： Cefixime trihydrate CTAB Critical micelle concentration Compensation temperature Free energy of transfer

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Interaction of cetyltrimethylammonium bromide with drug in aqueous/electrolyte solution:A combined conductometric and molecular dynamics method study

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Chinese Journal of Chemical Engineering 2018年第1期26卷 159-167页

作者： Md.Anamul Hoque Md.Masud Alam Mohammad Robel Molla Shahed Rana Malik Abdul Rub Mohammad A.Halim mohammed abdullah khan Farida Akhtar Department of Chemistry Jahangirnagar UniversitySavarDhaka 1342Bangladesh Chemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Center of Excellence for Advanced Materials Research King Abdulaziz UniversityJeddah 21589Saudi Arabia Division of Quantum Chemistry BICCBThe Red-Green Computing Centre218 Elephant RoadDhaka 1205Bangladesh Institut Lumière Matière Université Lyon 1-CNRSUniversitéde Lyon69622 Villeurbanne CedexFrance

Interaction between beta-lactum antibiotic drug ciprofloxacin hydrochloride(CFH)and cationic surfactant cetyltrimethylammonium bromide(CTAB)was performed conductometrically in aqueous as well as in the occurrence of different salts(NaCl,KCl as well as NH_4Cl)over the temperature range of 298.15–323.15 K at the regular interval of 5 *** drug has been suggested for the treatment of bacterial infections such as urinary tract infections and acute sinusitis.A clear critical micelle concentration(CMC)was obtained for pure CTAB as well as(CFH+CTAB)mixed *** decrease in CMC values of CTAB caused by the addition of CFH reveals the existence of the interaction between the components and therefore it is the indication of micelle formation at lower concentration of CTAB and their CMC values further decrease in attendance of salts.A nonlinear behavior in the CMC versus T plot was observed in all the *** ΔG_m^0 values are found to be negative in present study systems demonstrated the stability of the *** values of ΔH_m^0 and ΔS_m^0 reveal the existence of hydrophobic and electrostatic interactions between CFH and *** thermodynamic properties of transfer for the micellization were also evaluated and discussed in *** dynamic simulation disclosed that environment of water and salts have impact on the hydrophobic interaction between CFH and *** water and salts,CTAB adopts spherical micelle in which charged hydrophilic groups are interacted with waters whereas hydrophobic tails form the core of the *** hydrophobic core region is highly conserved and *** addition,micelle formation is more favorable in aqueous Na Cl solution than other solutions.

关键词： Ciprofloxacin hydrochloride Cetyltrimethylammonium bromide Molecular dynamics Flydrophobic interaction Salt effect

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Interaction of ciprofloxacin hydrochloride with sodium dodecyl sulfate in aqueous/electrolytes solution at different temperatures and compositions

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Chinese Journal of Chemical Engineering 2020年第1期28卷 216-223页

作者： Sk.Md.Ali Ahsan Md.Ruhul Amin Shamim Mahbub Mohammad Robel Molla Shahina Aktar Malik Abdul Rub Md.Anamul Hoque Muhammad Nadeem Arshad mohammed abdullah khan Department of Chemistry Jahangirnagar UniversitySavarDhaka 1342Bangladesh Chemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah-21589Saudi Arabia Center of Excellence for Advanced Materials Research King Abdulaziz UniversityJeddah-21589Saudi Arabia

Interactions of ciprofloxacin hydrochloride(CPFH)with sodium dodecyl sulfate(SDS)were investigated by conductivity measurement in H2O/electrolyte solutions(NaCl,Na2SO4&Na3PO4)over 298.15–318.15 K temperature range(with 5 K interval)considering the human body *** all cases,two critical micelle concentrations(c*)were observed which are increased in the presence of drug and decreased in the presence of salts enunciating the presence of interaction amongst the studied ***(CPFH+SDS)system in the presence of salt,the c*values at 303.15 K and I=0.50 mmol·kg^-1 followed the order:CNaCl>CNa2SO4>***ΔG1,m0 andΔG2,m0values are found to be negative for all systems that show that the micellization process is thermodynamically ***(CPFH+SDS)system in water,theΔHm0&ΔSm0 values reveal that the micellization processes is both entropy dominated in almost all *** the occurrence of electrolytes,ΔHm0 andΔSm0 values indicate that micellization processes are both entropy&enthalpy restricted at upper temperature but it becomes totally entropy dependent at higher *** higher positiveΔSm0 values indicate the enhanced hydrophobic interaction in presence of *** enthalpy-entropy compensation was determined from the linear relationship betweenΔHm0 andΔSm0 values in every *** transfer energies as well as compensation temperature and intrinsic enthalpy were also evaluated and the behaviors were comparable to other biological system.

关键词： Ciprofloxacin hydrochloride Sodium dodecyl sulfate Critical micelle concentration Thermodynamic indices Hydrophobic effect

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Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali Syed Hammad Qaiser Mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna abdullah mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

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Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics

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Computer Systems Science & Engineering 2023年第2期44卷 1679-1689页

作者： abdullah Alshehri Nayeem khan Ali Alowayr mohammed Yahya Alghamdi Information Technology Department Faculty of Computer Science and Information TechnologyAl Baha UniversityAl Baha65799Saudi Arabia Computer Science Department Faculty of Science and Arts at BuljurashiAl Baha UniversityAl Baha65799Saudi Arabia

This paper proposes a novel framework to detect cyber-attacks using Machine Learning coupled with User Behavior *** framework models the user behavior as sequences of events representing the user activities at such a *** represented sequences are thenﬁtted into a recurrent neural network model to extract features that draw distinctive behavior for individual ***,the model can recognize frequencies of regular behavior to proﬁle the user manner in the *** subsequent procedure is that the recurrent neural network would detect abnormal behavior by classifying unknown behavior to either regu-lar or irregular *** importance of the proposed framework is due to the increase of cyber-attacks especially when the attack is triggered from such sources inside the *** detecting inside attacks are much more challenging in that the security protocols can barely recognize attacks from trustful resources at the network,including ***,the user behavior can be extracted and ultimately learned to recognize insightful patterns in which the regular patterns reﬂect a normal network workﬂ*** contrast,the irregular patterns can trigger an alert for a potential *** framework has been fully described where the evaluation metrics have also been *** experimental results show that the approach performed better compared to other approaches and AUC 0.97 was achieved using RNN-LSTM *** paper has been concluded with pro-viding the potential directions for future improvements.

关键词： Cybersecurity deep learning machine learning user behavior analytics

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Association Rule Analysis-Based Identification of Influential Users in the Social Media

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Computers, Materials & Continua 2022年第12期73卷 6479-6493页

作者： Saqib Iqbal Rehan khan Hikmat Ullah khan Fawaz Khaled Alarfaj abdullah mohammed Alomair Muzamil Ahmed College of Engineering Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Al-HoufufSaudi Arabia

The exchange of information is an innate and natural process that assist in content *** networking sites emerge to enrich their users by providing the facility for sharing information and social *** extensive adoption of social networking sites also resulted in user content *** are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social *** is extensively used platform to share information,thoughts and opinions through posts and *** identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,*** research studies either uses linguistic content or graph-based representation of social network for the detection of influential *** this article,we incorporate association rule mining algorithms to identify the top influential users through frequent *** association rules have been computed using the standard evaluation measures such as support,confidence,lift,and *** verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules *** detailed experiments are carried out using the benchmark College-Msg dataset extracted by *** obtained results validate the quality and visibility of the proposed *** outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular *** preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

关键词： Association rule mining ranking social web influential users social media

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Deflection behavior of a prestressed concrete beam reinforced with carbon fibers at elevated temperatures

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Frontiers of Structural and Civil Engineering 2019年第1期13卷 81-91页

作者： mohammed FARUQI mohammed Sheroz khan Department of Civil and Architectural Engineering Texas A&M University--KingsvilleTexasUSA

Fiber reinforced polymer(FRP) have unique advantages like high strength to weight ratio,excellent corrosion resistance,improving deformability and cost *** advantages have gained wide acceptance in civil engineering *** tendons for prestressing applications are emerging as one of the most promising technologies in the civil engineering ***,the behavior of such members under the influence of elevated temperatures is still *** knowledge and application of this could lead to a cost effective and practical considerations in fire safety ***,this study examines the deflection behavior of the carbon fiber reinforced polymer(CFRP) prestressed concrete beam at elevated *** this article,an analytical model is developed which integrates the temperature dependent changes of effective modulus of FRP in predicting the deflection behavior of CFRP prestressed concrete beams within the range of practical *** model is compared with a finite element mode (FEM) of a simply supported concrete beam prestressed with CFRP subjected to practical elevated *** addition,comparison is also made with an indirect reference to the real behavior of the *** results of the model correlated reasonably with the finite element model and the real ***,a practical application is provided.

关键词： FRP CFRP concrete elevated temperatures deflections prestress

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Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic

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Computer Systems Science & Engineering 2022年第2期40卷 691-702页

作者： mohammed Baz Sabita Khatri abdullah Baz Hosam Alhakami Alka Agrawal Raees Ahmad khan Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Engineering College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia

The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020,provide critical research criteria to assess the vulnerabilities of our current health *** paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness,about public health and healthcare *** view of this unprecedented health crisis,distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages,and with the higher *** the implementation level,blockchain integration,early detection and avoidance of an outbreak,identity protection and safety,and a secure drug supply chain can be *** the opposite end of the continuum,artificial intelligence methods are used to detect corona effects until they become too serious,avoiding costly drug *** paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic *** paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational *** paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system.

关键词： Artificial intelligence information privacy machine learning coronavirus(COVID-19) SARS-CoV-2 epidemic

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Machine Learning-Enabled Communication Approach for the Internet of Medical Things

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Computers, Materials & Continua 2023年第8期76卷 1569-1584页

作者： Rahim khan abdullah Ghani Samia Allaoua Chelloug mohammed Amin Aamir Saeed Jason Teo Faculty of Computing and Informatics University Malaysia SabahKota KinabaluSabah88400Malaysia Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box84428Riyadh11671Saudi Arabia Department of Computer Science Abdul Wali Khan UniversityMardan23200Pakistan College of Computer Sciences and Information Technology King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science and IT UET PeshawarJalozai CampusJalozai24240Pakistan

The Internet ofMedical Things(IoMT)is mainly concernedwith the efficient utilisation of wearable devices in the healthcare domain to manage various processes automatically,whereas machine learning approaches enable these smart systems to make informed ***,broadcasting is used for the transmission of frames,whereas congestion,energy efficiency,and excessive load are among the common issues associated with existing *** this paper,a machine learning-enabled shortest path identification scheme is presented to ensure reliable transmission of frames,especially with the minimum possible communication overheads in the IoMT *** this purpose,the proposed scheme utilises a well-known technique,i.e.,Kruskal’s algorithm,to find an optimal path from source to destination wearable ***,other evaluation metrics are used to find a reliable and shortest possible communication path between the two interested *** from that,every device is bound to hold a supplementary path,preferably a second optimised path,for situations where the current communication path is no longer available,either due to device failure or heavy ***,the machine learning approach helps enable these devices to update their routing tables simultaneously,and an optimal path could be replaced if a better one is *** proposed mechanism has been tested using a smart environment developed for the healthcare domain using IoMT *** results show that the proposed machine learning-oriented approach performs better than existing approaches where the proposed scheme has achieved the minimum possible ratios,i.e.,17%and 23%,in terms of end to end delay and packet losses,***,the proposed scheme has achieved an approximately 21%improvement in the average throughput compared to the existing schemes.

关键词： Machine learning Internet of Medical Things healthcare load balancing communication

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