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Journal of Ocean Engineering and Science 2024年第1期9卷 50-58页

作者： Umair ali Hijaz Ahmad Hanaa Abu-Zinadah Department of Applied Mathematics and Statistics Institute of Space TechnologyP.O.Box 2750Islamabad 44000Pakistan Near East University Operational Research Center in HealthcareNear East BoulevardPC:99138 Nicosia/Mersin 10Turkey Section of Mathematics International Telematic University UninettunoCorso Vittorio Emanuele II3900186 RomaItaly University of Jeddah College of ScienceDepartment of StatisticsJeddahSaudi Arabia

Nonlinear fractional differential equations provide suitable models to describe real-world phenomena and many fractional derivatives are varying with time and *** present study considers the advanced and broad spectrum of the nonlinear(NL)variable-order fractional differential equation(VO-FDE)in sense of VO Caputo fractional derivative(CFD)to describe the physical *** VO-FDE transforms into an ordinary differential equation(ODE)and then solving by the modified(G/G)-expansion *** ac-curacy,the space-time VO fractional Korteweg-de Vries(KdV)equation is solved by the proposed method and obtained some new types of periodic wave,singular,and Kink exact *** newly obtained solutions confirmed that the proposed method is well-ordered and capable implement to find a class of NL-VO *** VO non-integer performance of the solutions is studied broadly by using 2D and 3D graphical *** results revealed that the NL VO-FDEs are highly active,functional and convenient in explaining the problems in scientific physics.

关键词： Space-time VO fractional KdV equation modiﬁed(G′/G)-expansion method VO Caputo fractional derivative generalized Riccati equation

Unraveling the therapeutic mechanisms of myristic acid and luteolin 7-rutinoside in oral cancer: insights from network pharmacology and molecular docking analysis

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Pharmacology Discovery 2024年第2期4卷 1-9页

作者： Ansari Vikhar Danish Ahmad Misba Ruhi Syed Ayaz ali Qazi Yasar Mohd.Mukhtar khan Subur W khan Mohammed Imran Anees Y.B.Chavan College of Pharmacy Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad 431001India Maulana Azad College Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad 431001India

Background:The compound Luteolin-7-rutinoside(L7R)is a flavone derivative of luteolin,predominantly identified in plant species belonging to the families ***,Myristic acid is characterized by its structure as a 14-carbon,unsaturated fatty *** this investigation,we endeavor to elucidate the putative mechanisms underlying the therapeutic effects of Myristic Acid and Luteolin 7-rutinoside in the context of oral cancer treatment,employing network pharmacology coupled with molecular docking ***:The protein targets of Myristic Acid and Luteolin 7-rutinoside were identified through a search on the Swiss Target ***,a compound-target network was constructed using Cytoscape *** associated with OC were retrieved from the OMIM and GeneCards *** overlap between compound targets and OC-related targets was determined,and the resulting shared targets were subjected to protein-protein interaction(PPI)network analysis using the STRING ***,gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were conducted on the identified *** docking were performed to investigate the interactions between the core target and the active ***:The component target network comprises 103 nodes and 102 *** the proteins in the protein-protein interaction(PPI)network,those with higher degrees are TNF,PPARG,and *** through Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways indicates that the treatment of OC with Myristic Acid and Luteolin 7-rutinoside primarily involves the regulation of miRNA transcription and inflammatory *** identified signaling pathways include Pathways in cancer,PPAR signaling pathway,EGFR signaling pathway,and TNF signaling *** docking studies reveal that Luteolin 7-rutinoside and Myristic acid exhibit higher affinity towards TNF,PPARG,TP53,and ***:This study

关键词： myristic acid luteolin 7-rutinoside network pharmacology oral cancer molecular docking

原油沥青质含量对纳米颗粒-十二烷基硫酸钠发泡二氧化碳泡沫稳定性的影响

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石油勘探与开发 2024年第1期51卷 212-222页

作者： SADEGHI Hossein KHAZ'ali ali Reza MOHAMMADI Mohsen 伊斯法罕理工大学化学工程系伊朗伊斯法罕84156-83111 丹麦技术大学丹麦海洋工程技术中心丹麦灵比2800

采用十二烷基硫酸钠(SDS)表面活性剂和SiO_(2)纳米颗粒作为发泡体系,在不同原油沥青质含量下进行泡沫稳定性实验,测量CO_(2)泡沫半衰期;采用扫描电子显微图像、紫外分光光度法测试和Zeta电位测量,分析沥青质降低CO_(2)泡沫稳定性的机理... 详细信息

采用十二烷基硫酸钠(SDS)表面活性剂和SiO_(2)纳米颗粒作为发泡体系,在不同原油沥青质含量下进行泡沫稳定性实验,测量CO_(2)泡沫半衰期;采用扫描电子显微图像、紫外分光光度法测试和Zeta电位测量,分析沥青质降低CO_(2)泡沫稳定性的机理。研究表明:当合成油与发泡体系质量比为1∶9时,合成油沥青质质量分数从0增至15%,SDS稳定泡沫半衰期从751 s减少至239 s,SDS-SiO_(2)稳定泡沫半衰期从912 s缩短至298 s;当合成油与发泡体系质量比为2∶8时,随着沥青质质量分数增大,SDS稳定泡沫半衰期从526 s缩短至171 s,SDS-SiO_(2)稳定泡沫半衰期从660 s缩短至205 s。由于沥青质与SDS和SiO_(2)纳米颗粒在水相中的相互作用,Zeta电位绝对值减小,颗粒表面电荷降低,导致薄液膜两侧界面之间的排斥力减小,从而破坏泡沫稳定性。

关键词： CO_(2)泡沫泡沫稳定性沥青质二氧化硅纳米颗粒十二烷基硫酸钠(SDS) 排斥力表面电荷 Zeta电位

Explicit solutions to the time-fractional generalized dissipative Kawahara equation

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Journal of Ocean Engineering and Science 2024年第4期9卷 348-352页

作者： Marwan Alquran Mohammed ali Omar Alshboul Department of Mathematics and Statistics Jordan University of Science and TechnologyIrbid 22110Jordan

In this paper,the generalized dissipative Kawahara equation in the sense of conformable fractional derivative is presented and solved by applying the tanh-coth-expansion and sine-cosine function *** quadratic-case and cubic-case are investigated for the proposed *** solutions are obtained with highlighting to the effect of the presence of the alternative fractional-derivative and the effect of the added dissipation term to the generalized Kawahara *** graphical analysis is presented to support the findings of the ***,we believe that the obtained results in this work will be important and valuable in nonlinear sciences and ocean engineering.

关键词： Time-fractional Kawahara equation Conformable-derivative Tanh-coth-expansion method Sine-cosine function method

Leveraging a new thermosensor for heat-smart future agriculture

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Plant Communications 2024年第9期5卷 1-4页

作者： ali Raza Qamar U.Zaman Zhangli Hu Guangdong Key Laboratory of Plant Epigenetics College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Shenzhen Engineering Laboratory for Marine Algal Biotechnology Guangdong Technology Research Center for Marine Algal BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Shenzhen Collaborative Innovation Public Service Platform for Marine Algae Industry Longhua Innovation Institute for BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China School of Breeding and Multiplication(Sanya Institute of Breeding and Multiplication) Hainan Yazhou-Bay Seed LaboratoryHainan UniversitySanya 572025China Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture School of Tropical CropsHainan UniversityHaikou 570228China

As global temperatures rise owing to climate change,crops are increasingly subjected to conditions that surpass their optimal temperature ranges,leading to heat stress(HS).HS impacts many morpho-physiological,biochemical,and molecular mechanisms in plants,ultimately affecting sustainable agricultural production worldwide(Ding et al.,2020;Kan et al.,2023;Raza et al.,2024).

关键词： smart pass crops

5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm

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Computers, Materials & Continua 2024年第7期80卷 1179-1201页

作者： Amel ali Alhussan S.K.Towfek Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Computer Science and Intelligent Systems Research Center BlacksburgVA 24060USA

In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is seen as a vital step forward with theoretical maximum download speeds of up to twenty gigabits per second(Gbps).As far as the current implementations are concerned,they are at the level of slightly below 1 Gbps,but this allowed a great leap forward from fourth generation technology(4G),as well as enabling significantly reduced latency,making 5G an absolute necessity for applications such as gaming,virtual conferencing,and other interactive electronic *** of this change are not limited to connectivity alone;it urges operators to refine their business strategies and offers users better and improved digital *** essential factor is optimization and the application of artificial intelligence throughout the general arrangement of intricate and detailed 5G *** Binary Greylag Goose Optimization(bGGO)to achieve a significant reduction in the feature set while maintaining or improving model performance,leading to more efficient and effective 5G network management,and Greylag Goose Optimization(GGO)increases the efficiency of the machine ***,the model performs and yields more accurate *** work proposes a new method to schedule the resources in the next generation,5G,based on a feature selection using GGO and a regression model that is an ensemble of K-Nearest Neighbors(KNN),Gradient Boosting,and Extra Trees *** ensemble model shows better prediction performance with the coefficient of determination R squared value equal *** proposed framework is supported by several Statistical analyses,such as theWilcoxon signed-rank *** of the benefits of this study are the introduction of new efficient optimization algorithms,the selection of features and more reliable ensemble models which improve the efficiency of 5G technology.

关键词： Optimization ensemble learning 5G technology artificial intelligence greylag goose optimization ANOVA test

Tri-milR29 from Trichoderma breve Targets Chitin Synthase Gene in Botrytis cinerea and its Enhanced Disease Control Efficacy through Nanodelievery-base Application

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Tri-milR29 from Trichoderma breve Targets Chitin Synthase Ge...

Advanced Optimized Anomaly Detection System for IoT Cyberattacks Using Artificial Intelligence

中国植物病理学会2024年学术年会

作者：刘震 Raja Asad ali khan WANG Rui LI Yuejiao 刘铜 School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) Hainan University Key Laboratory of Green Prevention and Control of Tropical Diseases and Pests Ministry of Education (School of Tropical Agriculture and Forestry)Hainan University Engineering Center of Agricultural Microbial Preparation Research and Development of Hainan (Hainan University)

In the process of mycoparasitism,a form of biological control that one fungus attacking another fungus,the exchange of biologically active molecules such as RNAs may occur,playing an important role in *** these molecules,microRNAs(miRNAs) can inhibit translation and regulate gene expression at the post-transcriptional level through complementary base pairing,thereby degrading target mRNAs to prevent ***,a well-known mycoparasitic fungus,is one of the most studied biocontrol *** recent years,small RNAs(named milRNA) have also been discovered in ***,the role of Trichoderma RNAs in their mycoparasitic activity and their targets in pathogenic fungi still needs further *** study verified the cross-species regulatory role of Trichoderma-T069 miRNA,named *** demonstrated that Tri-milR29 from T069 was transferred to ***,a pathogenic fungus,where it targeted the chitin synthase gene,BcCHS7,resulting in a marked decrease in its ***-species transportation of sRNAs may occur through extracellular vesicles(EVs) ***,more research is needed on EVs in *** a series of experiments,we verified that the Tri-milR29 from T069 was transferred to *** through the EVs *** sRNA can effectively prevent and control plant diseases by targeting specific genes in pathogenic microbes through RNA ***,their susceptibility to nuclease degradation,off-target effects,and their low absorption efficiency by target pathogens limit their practical ***,the development of suitable delivery systems to protect and deliver sRNA is *** developed a carbon nanomaterial-based delivery system that enhances the stability and absorption of TrimilR29 by ***,increasing antifungal *** nano-delivered Tri-milR29 significantly lowered the disease incidence caused by *** on various fruits and tomato plants.

关键词： microRNA extracellular vesicles biocontrol mycoparasitism pathogen

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Computers, Materials & Continua 2024年第2期78卷 1525-1545页

作者： ali Hamid Farea Omar H.Alhazmi Kerem Kucuk Department of Computer Science Taibah UniversityMedina42315Saudi Arabia Department of Software Engineering Kocaeli UniversityKocaeli41001Turkey

While emerging technologies such as the Internet of Things(IoT)have many benefits,they also pose considerable security challenges that require innovative solutions,including those based on artificial intelligence(AI),given that these techniques are increasingly being used by malicious actors to compromise IoT *** an ample body of research focusing on conventional AI methods exists,there is a paucity of studies related to advanced statistical and optimization approaches aimed at enhancing security *** contribute to this nascent research stream,a novel AI-driven security system denoted as“AI2AI”is presented in this ***2AI employs AI techniques to enhance the performance and optimize security mechanisms within the IoT *** also introduce the Genetic Algorithm Anomaly Detection and Prevention Deep Neural Networks(GAADPSDNN)sys-tem that can be implemented to effectively identify,detect,and prevent cyberattacks targeting IoT ***,this system demonstrates adaptability to both federated and centralized learning environments,accommodating a wide array of IoT *** evaluation of the GAADPSDNN system using the recently complied WUSTL-IIoT and Edge-IIoT datasets underscores its *** an impressive overall accuracy of 98.18%on the Edge-IIoT dataset,the GAADPSDNN outperforms the standard deep neural network(DNN)classifier with 94.11%***,with the proposed enhancements,the accuracy of the unoptimized random forest classifier(80.89%)is improved to 93.51%,while the overall accuracy(98.18%)surpasses the results(93.91%,94.67%,94.94%,and 94.96%)achieved when alternative systems based on diverse optimization techniques and the same dataset are *** proposed optimization techniques increase the effectiveness of the anomaly detection system by efficiently achieving high accuracy and reducing the computational load on IoT devices through the adaptive selection of active features.

关键词： Internet of Things security anomaly detection and prevention system artificial intelligence optimization techniques

Opportunities and Challenges in Advancing Plant Research with Single-cell Omics

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Genomics, Proteomics & Bioinformatics 2024年第2期22卷 13-26页

作者： Mohammad Saidur Rhaman Muhammad ali Wenxiu Ye Bosheng Li Peking University Institute of Advanced Agricultural Sciences Shandong Laboratory of Advanced Agricultural Sciences in WeifangWeifang 261325China

Plants possess diverse cell types and intricate regulatory mechanisms to adapt to the ever-changing environment of *** strategies have been employed to study cell types and their developmental progressions,including single-cell sequencing methods which provide high-dimensional catalogs to address biological *** recent years,single-cell sequencing technologies in transcriptomics,epigenomics,proteomics,metabolomics,and spatial transcriptomics have been increasingly used in plant science to reveal intricate biological relationships at the single-cell ***,the application of single-cell technologies to plants is more limited due to the challenges posed by cell *** review outlines the advancements in single-cell omics technologies,their implications in plant systems,future research applications,and the challenges of single-cell omics in plant systems.

关键词： Multi-omics Single-cell transcriptomics Spatial transcriptomics Single-cell epigenomics Single-cell proteomics

Enhancing Renewable Energy Integration:A Gaussian-Bare-Bones Levy Cheetah Optimization Approach to Optimal Power Flow in Electrical Networks

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1339-1370页

作者： ali S.Alghamdi Mohamed A.Zohdy Saad Aldoihi Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical and Computer Engineering Department Oakland UniversityRochesterMI48309USA Institute of Earth and Space Science King Abdulaziz City for Science and Technology(KACST)Riyadh11442Saudi Arabia Computer Science and Systems Engineering Institute Polytechnique de ParisPalaiseau CedexFrance

In the contemporary era,the global expansion of electrical grids is propelled by various renewable energy sources(RESs).Efficient integration of stochastic RESs and optimal power flow(OPF)management are critical for network *** study introduces an innovative solution,the Gaussian Bare-Bones Levy Cheetah Optimizer(GBBLCO),addressing OPF challenges in power generation systems with stochastic *** primary objective is to minimize the total operating costs of RESs,considering four functions:overall operating costs,voltage deviation management,emissions reduction,voltage stability index(VSI)and power loss ***,a carbon tax is included in the objective function to reduce carbon *** scrutiny,using modified IEEE 30-bus and IEEE 118-bus systems,validates GBBLCO’s superior performance in achieving optimal *** results demonstrate GBBLCO’s efficacy in six optimization scenarios:total cost with valve point effects,total cost with emission and carbon tax,total cost with prohibited operating zones,active power loss optimization,voltage deviation optimization and enhancing voltage stability index(VSI).GBBLCO outperforms conventional techniques in each scenario,showcasing rapid convergence and superior solution ***,GBBLCO navigates complexities introduced by valve point effects,adapts to environmental constraints,optimizes costs while considering prohibited operating zones,minimizes active power losses,and optimizes voltage deviation by enhancing the voltage stability index(VSI)*** research significantly contributes to advancing OPF,emphasizing GBBLCO’s improved global search capabilities and ability to address challenges related to local *** emerges as a versatile and robust optimization tool for diverse challenges in power systems,offering a promising solution for the evolving needs of renewable energy-integrated power grids.

关键词： Renewable energy integration optimal power flow stochastic renewable energy sources gaussian-bare-bones levy cheetah optimizer electrical network optimization carbon tax optimization