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Mechanical behaviour of fiber-reinforced grout in rock bolt reinforcement

Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 437-453页

作者： Yingchun Li Ammar ahmed Danqi Li Deep Underground Engineering Research Center Dalian University of TechnologyDalian116024China WA School of Mines:Minerals Energy and Chemical Engineering Curtin UniversityKalgoorlieWA6430Australia

Grouted rock bolts subject to axial loading in the field exhibit various failure modes,among which the most predominant one is the bolt-grout interface ***,mechanical characterization of the grout is essential for understanding its performance in ground *** date,few studies have been conducted to characterize the mechanical behaviour of fiber-reinforced grout(FRG)in rock bolt *** we experimentally studied the mechanical behaviour of FRG under uniaxial compression,indirect tension,and direct shear loading *** also conducted a series of pullout tests of rebar bolt encapsulated with different grouts including conventional cementitious grout and *** was developed using 15%silica fume(SF)replacement of cement(by weight)and steel fiber to achieve highstrength and crack-resistance to overcome drawbacks of the conventional *** types of steel fibers including straight and wavy steel fibers were further added to enhance the grout *** effect of fiber shape and fiber volume proportion on the grout mechanical properties were *** experimental results showed that the addition of SF and steel fiber by 1.5%fiber volume proportion could lead to the highest compressive,tensile,and shear strengths of the *** minimum volume of fiber that could improve the mechanical properties of grout was found at 0.5%.The scanning electron microscopy(SEM)analysis demonstrated that steel fibers act as an excellent bridge to prevent the cracks from propagating at the interfacial region and hence to aid in maintaining the integrity of the cementitious *** laboratory pullout tests further confirmed that FRG could prevent the cylindrical grout annulus from radial crack and hence improve the rebar’s load carrying ***,FRG has a potential to be utilized in civil and mining applications where high-strength and crack-resistance support is required.

关键词： Fiber-reinforced grout(FRG) Steel fibers Mechanical properties Direct shear test Pullout test

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Phytochemical analysis,antioxidant,acetylcholinesterase,andα-amylase inhibitors from Hippeastrum hybridum extract

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Journal of Traditional Chinese Medicine 2024年第3期44卷 496-504页

作者： Naila Sher Mushtaq ahmed Nadia Mushtaq Department of Biotechnology University of Science and Technology Bannu-KPK 28100Pakistan Department of Botany University of Science and Technology Bannu-KPK 28100Pakistan

OBJECTIVE:To investigate the effects of Hippeastrum hybridum(HH)as a free radical scavenger,and an inhibitor of the two enzymes i-e Alpha-amylase(α-amylase)and acetylcholinesterase(AChE).METHODS:In this study,HH plant was preliminary analyzed for phytochemical screening and then tested for its antioxidant,anti-α-amylase,and anti-AChE efficiency via standard ***:Phytochemical analysis shows the existence of different compounds;while Coumarins and quinones were *** total phenolic,flavonoid,and tannins content were found to be(78.52±0.69)mg GAE/g,(2.01±0.04)mg RUE/g,and(58.12±0.23)mg TAE/g of plant extract respectively.28.02%±0.02%alkaloid and 2.02%±0.05%saponins were present in the HH *** HH extract showed the anti-oxidant property with IC50(50%inhibition)of(151.01±0.13)(HH),(79.01±0.04)(Ascorbic acid)for ferric reducing,(91.48±0.13)(HH),(48.02±0.11)(Ascorbic acid)against Ammonium molybdenum,(156.02±0.31)(HH),(52.38±0.21)(Ascorbic acid)against DPPH,136.01±0.21(HH),52.02±0.31(Ascorbic acid)against H_(2)O_(2),and 154.12±0.03(HH),(40.05±0.15)(Ascorbic acid)μg/mL against ABTS *** analysis indicated that HH caused a competitive type of inhibition ofα-amylase(V_(max)remained constant and Km increases from 10.65 to84.37%)while Glucophage caused the un-competitive type of inhibition i-e both Km and V_(max)decreased from40.49 to 69.15%and 38.86 to 69.61%*** K_(i),(inhibition constant);K_(I),(dissociation constant),K_(m),(Michaelis-Menten constant),and IC50 were found to be62,364,68.1,and 38.08±0.22 for HH and 12,101.05,195,34.01±0.21 for ***,HH causes an anon-competitive type of inhibition of AChE i-e Km remains constant while V_(max)decreases from 60.5%to74.1%.The calculated K_(i),K_(I),K_(m),and IC50 were found to be 32,36.2,0.05,and 18.117±***:From the current results,it is concluded that HH extract contains bioactive compounds,and could be a good alternative to controlling oxidant

关键词： Hippeastrum hybridum phytochemicals antioxidant alpha-amylase acetylcholinesterase

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A review on edge analytics:Issues,challenges,opportunities,promises,future directions,and applications

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Digital Communications and Networks 2024年第3期10卷 783-804页

作者： Sabuzima Nayak Ripon Patgiri Lilapati Waikhom Arif ahmed National Institute of Technology Silchar India Ericsson Sweden

Edge technology aims to bring cloud resources(specifically,the computation,storage,and network)to the closed proximity of the edge devices,i.e.,smart devices where the data are produced and *** computing and application in edge devices lead to emerging of two new concepts in edge technology:edge computing and edge *** analytics uses some techniques or algorithms to analyse the data generated by the edge *** the emerging of edge analytics,the edge devices have become a complete ***,edge analytics is unable to provide full support to the analytic *** edge devices cannot execute advanced and sophisticated analytic algorithms following various constraints such as limited power supply,small memory size,limited resources,*** article aims to provide a detailed discussion on edge *** key contributions of the paper are as follows-a clear explanation to distinguish between the three concepts of edge technology:edge devices,edge computing,and edge analytics,along with their *** addition,the article discusses the implementation of edge analytics to solve many problems and applications in various areas such as retail,agriculture,industry,and ***,the research papers of the state-of-the-art edge analytics are rigorously reviewed in this article to explore the existing issues,emerging challenges,research opportunities and their directions,and applications.

关键词： Edge analytics Edge computing Edge devices Big data Sensor Artificial intelligence Machine learning Smart technology Healthcare

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THAPE: A Tunable Hybrid Associative Predictive Engine Approach for Enhancing Rule Interpretability in Association Rule Learning for the Retail Sector

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Computers, Materials & Continua 2024年第6期79卷 4995-5015页

作者： Monerah Alawadh ahmed Barnawi Information Technology Department King Abdulaziz UniversityJeddah21589Saudi Arabia

Association rule learning(ARL)is a widely used technique for discovering relationships within ***,it often generates excessive irrelevant or ambiguous ***,post-processing is crucial not only for removing irrelevant or redundant rules but also for uncovering hidden associations that impact other ***,several post-processing methods have been proposed,each with its own strengths and *** this paper,we propose THAPE(Tunable Hybrid Associative Predictive Engine),which combines descriptive and predictive *** leveraging both techniques,our aim is to enhance the quality of analyzing generated *** includes removing irrelevant or redundant rules,uncovering interesting and useful rules,exploring hidden association rules that may affect other factors,and providing backtracking ability for a given *** proposed approach offers a tailored method that suits specific goals for retailers,enabling them to gain a better understanding of customer behavior based on factual transactions in the target *** applied THAPE to a real dataset as a case study in this paper to demonstrate its *** this application,we successfully mined a concise set of highly interesting and useful association *** of the 11,265 rules generated,we identified 125 rules that are particularly relevant to the business *** identified rules significantly improve the interpretability and usefulness of association rules for decision-making purposes.

关键词： Association rule learning post-processing predictive machine learning rule interpretability

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Visible light-driven photo remediation of hazardous cationic dye via Ce-doped WO_(3) nanostructures

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Journal of Rare Earths 2024年第5期42卷 869-878,I0003页

作者： Azra Haroon Kaseed Anwar Arham S.ahmed Department of Physics Aligarh Muslim University202002AligarhIndia Interdisciplinary Nanotechnology Centre Aligarh Muslim University202002AligarhIndia

Ce-doped WO_(3) nanoparticles were successfully synthesized by the sol-gel method and characterized through advanced characterization *** high resolution transmission electron microscopy(HRTEM)and scanning electron microscopy(SEM)results show a reduction in the agglomeration of nanoparticles upon *** energy dispersive X-ray(EDX)analysis validates the existence of the Ce element in all the doped samples.X-ray photoelectron spectroscopy(XPS)and Raman spectra justify the presence of structural defects(oxygen vacancies)and successful formation of the monoclinic WO_(3) phase,*** Kubelka-Munk function indicates a decrease in band gap with doping,while photoluminescence(PL)spectra show intense visible and UV emissions,Significantly,all doped samples exhibit higher photocatalytic performance than pure WO_(3) nanoparticles,with the 6 wt%Ce-doped sample displaying the highest degradation *** with Ce can help to increase the surface area of WO_(3),thereby improving its photoactivity,Moreover,a correlation between PL and photocatalysis is established in the light of oxygen vacancies suggesting a direct dependence of high photocatalytic activity on strong PL signals of WO_(3) *** experiments further reveal that the degradation process is primarily driven by active species,providing insight into a plausible photocatalytic mechanism.

关键词： WO_(3) Rare-earth element Environmental crisis Oxygen vacancies Luminescence Photocatalysis

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Immunotherapy for gastric cancer and liver metastasis: Is it time to bid farewell

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World Journal of Gastrointestinal Surgery 2024年第8期16卷 2365-2368页

作者： ahmed Dehal Department of Clinical Sciences Kaiser Permanente School of MedicinePanoramaCA 91402United States

Patients with metastatic gastric cancer have a grim *** che-motherapy offers a limited survival improvement,but recent advancements in immunotherapy have sparked ***,the effectiveness of immunothe-rapy in patients with liver metastases remains *** article reviews a recent study by Liu et al and evaluates conflicting evidence on the impact of liver metastases on response to immunotherapy in metastatic gastric *** some studies suggest no significant difference in treatment response based on liver involvement,others report varied response *** present study,a re-trospective analysis of 48 patients by Liu et al,examines this issue and concludes that immunotherapy is less effective in patients with liver *** methodological limitations and a small sample size,the study contributes to the ongoing *** nuanced response to immunotherapy in certain patients underscores the importance of understanding the tumor microenvironment,immune cell infiltration,and the expression of immune *** than dismissing immunotherapy for patients with gastric cancer and liver metastases,a shift towards personalized treatment strategies and a more profound under-standing of tumor-specific biomarkers is *** unraveling the molecular intricacies of individual cases,clinicians may tailor more effective and customized treatments,offering a glimmer of hope for this challenging patient group.

关键词： Immunotherapy Gastric cancer Liver metastasis Efficacy Prognosis

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Advancements in materials for hydrogen production:A review of cutting-edge technologies

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ChemPhysMater 2024年第1期3卷 64-73页

作者： ahmed Alamiery Department of Chemical and Process Engineering Faculty of Engineering and Built EnvironmentUniversity Kebangsaan Malaysia(UKM)Bangi P.O.Box 43000SelangorMalaysia

Hydrogen,a clean and versatile energy carrier,has gained significant attention as a potential solution for addressing the challenges of climate change and energy *** hydrogen production relies heavily on the development of advanced materials that enable cost-effective and sustainable *** review article presents a comprehensive overview of cutting-edge materials used for hydrogen production,covering both traditional and emerging *** article begins by briefly introducing the importance of hydrogen as a clean energy carrier and various methods used for hydrogen *** emphasizes the critical role of these materials in enabling efficient hydrogen *** methods,such as steam methane reforming,coal gasification,biomass gasification,and water electrolysis,are discussed,highlighting the materials used and their advantages and *** review then focuses on emerging technologies that have shown promise for achieving efficient hydrogen *** water splitting is explored with an emphasis on recent advancements in semiconductor-based photocatalysts and nanostructured materials for enhanced *** oxide electrolysis cells(SOEC)are examined,discussing high-temperature electrolysis materials and advancements in electrolytes and electrode *** hydrogen production and chemical looping are also discussed,highlighting the use of microorganisms,bioengineered systems,metal oxides as oxygen carriers,and catalysts for improved hydrogen *** characterization techniques,including X-ray diffraction,spectroscopy,scanning electron microscopy,transmission electron microscopy,X-ray photoelectron spectroscopy,Auger electron spectroscopy,thermogravimetric analysis,and differential scanning calorimetry,have been used to gain insight into the properties and performances of *** review concludes by addressing the challenges and prospects in the field

关键词： Hydrogen production Cutting-edge technologies in hydrogen generation Sustainable hydrogen Clean energy

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Evaluations of Chris-Jerry Data Using Generalized Progressive Hybrid Strategy and Its Engineering Applications

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 3073-3103页

作者： Refah Alotaibi Hoda Rezk ahmed Elshahhat Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Statistics Al-Azhar UniversityCairo11884Egypt Faculty of Technology and Development Zagazig UniversityZagazig44519Egypt

A new one-parameter Chris-Jerry distribution,created by mixing exponential and gamma distributions,is discussed in this article in the presence of incomplete lifetime *** examine a novel generalized progressively hybrid censoring technique that ensures the experiment ends at a predefined period when the model of the test participants has a Chris-Jerry(CJ)*** the indicated censored data is present,Bayes and likelihood estimations are used to explore the CJ parameter and reliability indices,including the hazard rate and reliability *** acquire the estimated asymptotic and credible confidence intervals of each unknown ***,via the squared-error loss,the Bayes’estimators are obtained using gamma *** Bayes estimators cannot be expressed theoretically since the likelihood density is created in a complex manner;nonetheless,Markov-chain Monte Carlo techniques can be used to evaluate *** effectiveness of the investigated estimations is assessed,and some recommendations are given using Monte Carlo ***,an analysis of two engineering applications,such as mechanical equipment and ball bearing data sets,shows the applicability of the proposed approaches that may be used in real-world settings.

关键词： Chris-Jerry model generalized censoring likelihood and Bayes estimations MCMC algorithms engineering applications

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An Optimization Approach of IoD Deployment for Optimal Coverage Based on Radio Frequency Model

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2627-2647页

作者： Tarek Sheltami Gamil ahmed Ansar Yasar Computer Engineering Department Interdisciplinary Research Center of Smart Mobility and LogisticsKing Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Transportation Research Institute(IMOB) Hasselt UniversityHasselt3500Belgium

Recently,Internet of Drones(IoD)has garnered significant attention due to its widespread ***,deploying IoD for area coverage poses numerous limitations and *** include interference between neighboring drones,the need for directional antennas,and altitude restrictions for *** challenges necessitate the development of efficient *** research paper presents a cooperative decision-making approach for an efficient IoDdeployment to address these challenges *** primary objective of this study is to achieve an efficient IoDdeployment strategy thatmaximizes the coverage regionwhile minimizing interference between neighboring *** deployment problem,the interference increases as the number of deployed drones increases,resulting in bad quality of *** the other hand,deploying a few drones cannot satisfy the coverage *** accomplish this,an enhanced version of a concise population-based meta-heuristic algorithm,namely Improved Particle SwarmOptimization(IPSO),is *** objective function of IPSO is defined based on the coverage probability,which is primarily influenced by the characteristics of the antennas and drone altitude.A radio frequency(RF)model is derived to evaluate the coverage quality,considering both Line of Sight(LOS)and Non-Line of Sight(NLOS)down-link coverage probabilities for ground *** is assumed that each drone is equipped with a directional antenna to optimize coverage in a given *** simulations are conducted to assess the effectiveness of the proposed *** demonstrate that the proposed method achieves maximum coverage with minimum transmission ***,a comparison is made against Collaborative Visual Area Coverage Approach(CVACA),and a game-based approach in terms of coverage quality and convergence *** simulation results reveal that our approach outperforms both CVACA and the gamebased schemes in terms of coverage an

关键词： IoD line of sight optimal deployment IPSO RF model

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Real-Time Prediction of Urban Traffic Problems Based on Artificial Intelligence-Enhanced Mobile Ad Hoc Networks(MANETS)

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Computers, Materials & Continua 2024年第5期79卷 1903-1923页

作者： ahmed Alhussen Arshiya S.Ansari Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Traffic in today’s cities is a serious problem that increases travel times,negatively affects the environment,and drains financial *** study presents an Artificial Intelligence(AI)augmentedMobile Ad Hoc Networks(MANETs)based real-time prediction paradigm for urban traffic *** are wireless networks that are based on mobile devices and may *** distributed nature of MANETs and the power of AI approaches are leveraged in this framework to provide reliable and timely traffic congestion *** study suggests a unique Chaotic Spatial Fuzzy Polynomial Neural Network(CSFPNN)technique to assess real-time data acquired from various sources within *** framework uses the proposed approach to learn from the data and create predictionmodels to detect possible traffic problems and their severity in real ***-time traffic prediction allows for proactive actions like resource allocation,dynamic route advice,and traffic signal optimization to reduce *** framework supports effective decision-making,decreases travel time,lowers fuel use,and enhances overall urban mobility by giving timely information to pedestrians,drivers,and urban *** simulations and real-world datasets are used to test the proposed framework’s prediction accuracy,responsiveness,and *** results show that the suggested framework successfully anticipates urban traffic issues in real-time,enables proactive traffic management,and aids in creating smarter,more sustainable cities.

关键词： Mobile AdHocNetworks(MANET) urban traffic prediction artificial intelligence(AI) traffic congestion chaotic spatial fuzzy polynomial neural network(CSFPNN)

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