检索结果-南通市图书馆

Green Chemical Engineering 2024年第3期5卷 307-338页

作者： Ahmad al-Bodour Noor alomari alberto Guti errez Santiago Aparicio Mert Atilhan Department of Chemical and Paper Engineering Western Michigan University Department of Chemistry University of Burgos Faculty of Sciences

With the intensifying challenge of global warming driven largely by anthropogenic activities, effective greenhouse gas capture techniques are critical. This paper focuses on the role of deep eutectic solvents(DES) as promising agents for such capture at the source. We review the key DES-based methods for greenhouse gas capture, drawing conclusions from a thorough analysis of the existing literature. In particular, we examine the effect of DES structure on gas solubilities and explore the mechanism of gas solubility in DES through molecular simulation. We present a synthesis of state-of-the-art results in this area, assessing the potential of DES as an alternative to current industrial gas capture methods. Furthermore, we propose future research directions for the design of novel DES tailored to more specific applications.

关键词： Global warming Climate change Deep eutectic solvents Gas capture Gas separation

Intra-articular interventions in osteoarthritis:Navigating the landscape of hyaluronic acid,mesenchymal stem cells,and plateletrich plasma

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

World Journal of Orthopedics 2024年第8期15卷 704-712页

作者： Somar Soufan Joenne al Khoury Zahi Hamdan Mohamad ali Rida Department of Medicine University of BalamandBeirut 00000Lebanon Department of Internal Medicine Clemenceau Medical CenterBeirut 12345Lebanon

Osteoarthritis(OA)poses a substantial burden on patients,leading to pain,functional decline,and reduced quality of *** conventional treatments focus on symptom management,disease-modifying interventions are yet to be *** review explores the efficacy of intra-articular interventions,particularly hyaluronic acid(HA),mesenchymal stem cells(MSCs),and platelet-rich plasma(PRP),in the context of OA *** injections,with diverse formulations like Hylan G-F20,sodium hyaluronate,and hyaluronan,present varying outcomes,necessitating a nuanced understanding of their effectiveness and *** therapy,derived from adipose tissue,umbilical cord,or bone marrow,shows promising results in clinical improvement,with adipose-derived MSCs demonstrating efficacy in maintaining benefits over 6 ***,bone-marrow-derived MSCs show limited effectiveness,highlighting the need for sourcespecific *** has emerged as a superior option for long-term pain reduction and quality of life improvement,with leukocyte-poor formulations and a critical platelet count of 10 billion demonstrating optimal *** comprehensive analysis underscores the potential of intra-articular interventions in OA management,emphasizing the need for personalized and evidence-based approaches to enhance treatment efficacy and patient outcomes.

关键词： Osteoarthritis,Viscosupplementation Platelets Hyaluronic acid Stem cell

Aminated Cyclopropylmethylphosphonates as Potent Prostate Cancer Inhibitors

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Biosciences and Medicines 2024年第7期12卷 239-244页

作者： Abed al Aziz al Quntar Ibrahim Abasy Department of Chemistry and Chemical Technology Faculty of Science and Technology Al-Quds University Jerusalem Palestine Department of Microbiology and Immunology Al-Quds University Jerusalem Palestine

Inspired by the anti-pancreatic promising results of our novel aminated cyclopropylmethylphosphonate compounds, an in vitro anti-prostate cancer activity exploration of these compounds was carried out on human prostate cancer cell line PC-3, and showed potent inhibiting activity at low micromolar concentrations (with an IC50 of approximately 45 μM).

关键词： Prostate Cancer Cancer Cyclopropylphophonates Aminophosphonates Cyclopropanes Phosphonates alkynylphosphonates Anti-Cancer Prostate

Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Safety Science and Resilience 2024年第1期5卷 91-101页

作者： Sachin Dhawan Hemanta Kumar Bhuyan Subhendu Kumar Pani Vinayakumar Ravi Rashmi Gupta Arun Rana alanoud al Mazroa Dorset College King George BlvdSurreyBritish ColumbiaCanada Department of Information Technology Vignan’s Foundation for ScienceTechnology and Research(Deemed to be University)Andhra PradeshIndia Krupajal Computer Academy Biju Patnaik University of Technology(BPUT)Rourkela 751002India Center for Artificial Intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia NSUT East Campus(Formerly AIACTRDelhi 110031India(Affiliated to Guru Gobind Singh Inderaprastha University))Dwarka 110078India Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida 201310Uttar PradeshIndia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia

The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as ***,this progress has also led to security concerns related to the transmission of confidential ***,safeguarding these data during communication through insecure channels is crucial for obvious *** emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation *** to the proposed method,a hybrid fuzzy neural network(HFNN)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification *** simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual *** the experiments,we observed that for the secret image of the cameraman,the PSNR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively.

关键词： Image enhancement Image processing Steganography Deep learning Fuzzy neural combination

Smart Energy Management System Using Machine Learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第1期78卷 959-973页

作者： ali Sheraz Akram Sagheer Abbas Muhammad Adnan Khan Atifa Athar Taher M.Ghazal Hussam al Hamadi School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnamGyeonggido13120Korea Department of Computer Science COMSATS University IslamabadLahore CampusLahore54000Pakistan School of Information Technology Skyline University CollegeSharjah1797United Arab Emirates Network and Communication Technology Lab Center for Cyber SecurityFaculty of Information Science and TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43600Malaysia College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

Energy management is an inspiring domain in developing of renewable energy ***,the growth of decentralized energy production is revealing an increased complexity for power grid managers,inferring more quality and reliability to regulate electricity flows and less imbalance between electricity production and *** major objective of an energy management system is to achieve optimum energy procurement and utilization throughout the organization,minimize energy costs without affecting production,and minimize environmental *** energy management is an essential and complex subject because of the excessive consumption in residential buildings,which necessitates energy optimization and increased user *** address the issue of energy management,many researchers have developed various frameworks;while the objective of each framework was to sustain a balance between user comfort and energy consumption,this problem hasn’t been fully solved because of how difficult it is to solve *** inclusive and Intelligent Energy Management System(IEMS)aims to provide overall energy efficiency regarding increased power generation,increase flexibility,increase renewable generation systems,improve energy consumption,reduce carbon dioxide emissions,improve stability,and reduce energy *** Learning(ML)is an emerging approach that may be beneficial to predict energy efficiency in a better way with the assistance of the Internet of Energy(IoE)*** IoE network is playing a vital role in the energy sector for collecting effective data and usage,resulting in smart resource *** this research work,an IEMS is proposed for Smart Cities(SC)using the ML technique to better resolve the energy management *** proposed system minimized the energy consumption with its intelligent nature and provided better outcomes than the previous approaches in terms of 92.11% accuracy,and 7.89% miss-rate.

关键词： Intelligent energy management system smart cities machine learning

Complex Decision Modeling Framework with Fairly Operators and Quaternion Numbers under Intuitionistic Fuzzy Rough Context

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1893-1932页

作者： Nadeem Salamat Muhammad Kamran Shahzaib Ashraf Manal Elzain Mohammed Abdulla Rashad Ismail Mohammed M.al-Shamiri Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Department of Mathematics Thal University BhakkarPunjab30000Pakistan Department of Mathematics Faculty of Science and ArtsKing Khalid UniversityMuhayl Assir61913Saudi Arabia

The main goal of informal computing is to overcome the limitations of hypersensitivity to defects and uncertainty while maintaining a balance between high accuracy,accessibility,and *** paper investigates the potential applications of intuitionistic fuzzy sets(IFS)with rough sets in the context of sparse *** it comes to capture uncertain information emanating fromboth upper and lower approximations,these intuitionistic fuzzy rough numbers(IFRNs)are superior to intuitionistic fuzzy sets and pythagorean fuzzy sets,*** use rough sets in conjunction with IFSs to develop several fairly aggregation operators and analyze their underlying *** present numerous impartial laws that incorporate the idea of proportionate dispersion in order to ensure that the membership and non-membership activities of IFRNs are treated equally within these *** operations lead to the development of the intuitionistic fuzzy rough weighted fairly aggregation operator(IFRWFA)and intuitionistic fuzzy rough ordered weighted fairly aggregation operator(IFRFOWA).These operators successfully adjust to membership and non-membership categories with fairness and *** highlight the unique qualities of these suggested aggregation operators and investigate their use in the multiattribute decision-making *** use the intuitionistic fuzzy rough environment’s architecture to create a novel strategy in situation involving several decision-makers and non-weighted ***,we developed a novel technique by combining the IFSs with quaternion *** establish a unique connection between alternatives and qualities by using intuitionistic fuzzy quaternion numbers(IFQNs).With the help of this framework,we can simulate uncertainty in real-world situations and address a number of decision-making *** the examples we have released,we offer a sophisticated and systematically constructed illustrative scenario that is intricately wo

关键词： Intuitionistic fuzzy set quaternion numbers fuzzy logic decision-making rough set

Patients’dissatisfaction with multifocal intraocular lenses managed by exchange with other multifocal lenses of diferent optical profles

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Eye and Vision 2024年第1期10卷 31-40页

作者： Olena al‑Shymali Colm Mcalinden Jorge L.alio del Barrio Mario Canto‑Cerdan Jorge L.alio Research&Development Department VISSUM Innovation and Department of Cornea Cataract and Refractive SurgeryVISSUM CorporationAlicanteSpain Department of Ophthalmology Singleton HospitalSwansea Bay University Health BoardSwanseaUK Division of Ophthalmology School of MedicineVISSUM AlicanteUniversidad Miguel HernándezCalle Cabañal 103016 AlicanteSpain Cornea Cataract and Refractive Surgery DepartmentVISSUM CorporationAlicanteSpain

Background:The aim of the study was to evaluate the outcomes of dissatisfed patients reporting poor visual quality following implantation of multifocal intraocular lenses(MF-IOLs),managed by IOL exchange with another multifocal optical ***:This is a retrospective series of ***-IOL exchange was done in 15 dissatisfed patients(30 eyes)with the perception of poor visual quality for far distance afected by neuroadaptation *** underwent a bilateral exchange of a MF-IOL with another MF-IOL of a diferent optical *** outcomes and complications were *** including Quality of Vision(QoV),Visual Function Index-14(VF-14)and its Rasch-revised version(VF-8R)and a satisfaction questionnaire were also used for outcome ***:The mean elapsed time from implantation to explantation-reimplantation was 11.8 *** QoV scores improved signifcantly across all the three *** function improved with a change in VF-14 score from 60.41±24.81 to 90.16±10.91(Pal acuity improved from 0.24 to 0.12 logMAR after exchange(Pal acuity improved from 0.15 to 0.04 logMAR(Pal profle.

关键词： Multifocal intraocular lenses IOL exchange Visual acuity Neuroadaptation failure

AMachine Learning Approach to Cyberbullying Detection in Arabic Tweets

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第7期80卷 1033-1054页

作者： Dhiaa Musleh Atta Rahman Mohammed Abbas alkherallah Menhal Kamel al-Bohassan Mustafa Mohammed alawami Hayder ali alsebaa Jawad ali alnemer Ghazi Fayez al-Mutairi May Issa aldossary Dalal A.aldowaihi Fahd alhaidari Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Networks and Communications College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

With the rapid growth of internet usage,a new situation has been created that enables practicing *** has increased over the past decade,and it has the same adverse effects as face-to-face bullying,like anger,sadness,anxiety,and *** the anonymity people get on the internet,they tend to bemore aggressive and express their emotions freely without considering the effects,which can be a reason for the increase in cyberbullying and it is the main motive behind the current *** study presents a thorough background of cyberbullying and the techniques used to collect,preprocess,and analyze the ***,a comprehensive review of the literature has been conducted to figure out research gaps and effective techniques and practices in cyberbullying detection in various languages,and it was deduced that there is significant room for improvement in the Arabic *** a result,the current study focuses on the investigation of shortlisted machine learning algorithms in natural language processing(NLP)for the classification of Arabic datasets duly collected from Twitter(also known as X).In this regard,support vector machine(SVM),Na飗e Bayes(NB),Random Forest(RF),Logistic regression(LR),Bootstrap aggregating(Bagging),Gradient Boosting(GBoost),Light Gradient Boosting Machine(LightGBM),Adaptive Boosting(AdaBoost),and eXtreme Gradient Boosting(XGBoost)were shortlisted and investigated due to their effectiveness in the similar ***,the scheme was evaluated by well-known performance measures like accuracy,precision,Recall,and ***,XGBoost exhibited the best performance with 89.95%accuracy,which is promising compared to the state-of-the-art.

关键词： Supervised machine learning ensemble learning cyberbullying Arabic tweets NLP

Dust particle surface potential in an argonhelium plasma using the(r,q)-distribution function

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Communications in Theoretical Physics 2024年第9期76卷 143-150页

作者： Bahaaudin M Raffah A A Abid Abdullah Khan Amin Esmaeili Yas al-Hadeethi M N S Qureshi Department of Physics Faculty of Sciences King Abdulaziz University Lithography in Devices Fabrication and Development Research Group Deanship of Scientific ResearchKing Abdulaziz University Joint Laboratory of Plasma Application Technology Institute of Advanced Technology University of Science and Technology of China CAS Key Laboratory of Geospace Environment University of Science and Technology of China Department of Physics Zhejiang Normal University Department of Physics Graduate School of Science Tokyo Metropolitan University Department of Physics GC University

In this paper, the dust particle surface potential for argon-helium plasma is evaluated analytically and numerically in the context of negatively charged dust particles by employing a power-law(r, q)-distribution function. Recent studies have reported the argon-helium plasma and conducted a brief theoretical and experimental survey. To deepen our understanding further, this study aims to analyze the argon-helium plasma comprehensively using the same pattern but with the(r, q)-distribution function. For this purpose, the current balance equations are derived for electron, helium and argon ions, when these charge species attain the quasineutrality *** numerically examined the currents of plasma species for a broad range of effective distribution function parameters r and q. It is revealed that the surface potential of dust particles is significantly affected by the parameters r and q, helium ion-to-electron temperature ratio,argon ion-to-electron temperature ratio, and helium ion to argon ion number density ratio. By incorporating the multi-ion(argon-helium) species, the significance of low-temperature nonMaxwellian dusty(complex) plasma is briefly examined.

关键词： dust charge potential dusty plasma helium argon plasma non-Maxwellian distribution plasma physics q distribution function r

Using Return and Risk Model for Choosing Perfect Portfolio Applied Study in Cairo Stock Exchange

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

American Journal of Operations Research 2024年第1期14卷 32-58页

作者： Essam al Arbed Economic Faculty Damascus University Damascus Syria

Modern financial theory, commonly known as portfolio theory, provides an analytical framework for the investment decision to be made under uncertainty. It is a well-established proposition in portfolio theory that whenever there is an imperfect correlation between returns risk is reduced by maintaining only a portion of wealth in any asset, or by selecting a portfolio according to expected returns and correlations between returns. The major improvement of the portfolio approaches over prior received theory is the incorporation of 1) the riskiness of an asset and 2) the addition from investing in any asset. The theme of this paper is to discuss how to propose a new mathematical model like that provided by Markowitz, which helps in choosing a nearly perfect portfolio and an efficient input/output. Besides applying this model to reality, the researcher uses game theory, stochastic and linear programming to provide the model proposed and then uses this model to select a perfect portfolio in the Cairo Stock Exchange. The results are fruitful and the researcher considers this model a new contribution to previous models.

关键词： Game Theory Stochastic and Linear Programming Perfect Portfolio Portfolio Theory Returns and Risks