检索结果-南通市图书馆

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

胃肠病学

Fuzzy inference system using genetic algorithm and pattern search for predicting roof fall rate in underground coal mines

作者： satish keshav Emma Culver原

来源：南通市图书馆图书评论

学校读者我要写书评

暂无评论

International Journal of Coal Science & Technology 2024年第1期11卷 31-41页

作者： Ayush Sahu satish Sinha Haider Banka Department of CSE IIT(ISM)DhanbadJharkhand826004India Department of Sustainability Adani universityAhmedabadGujrat382421India

One of the most dangerous safety hazard in underground coal mines is roof falls during retreat *** falls may cause life-threatening and non-fatal injuries to miners and impede mining and transportation *** a result,a reliable roof fall prediction model is essential to tackle such *** parameters that substantially impact roof falls are ill-defined and intangible,making this an uncertain and challenging research *** National Institute for Occupational Safety and Health assembled a national database of roof performance from 37 coal mines to explore the factors contributing to roof *** acquired for 37 mines is limited due to several restrictions,which increased the likelihood of *** logic is a technique for coping with ambiguity,incompleteness,and ***,In this paper,the fuzzy inference method is presented,which employs a genetic algorithm to create fuzzy rules based on 109 records of roof fall data and pattern search to refine the membership functions of *** performance of the deployed model is evaluated using statistical measures such as the Root-Mean-Square Error,Mean-Absolute-Error,and coefficient of determination(R_(2)).Based on these criteria,the suggested model outperforms the existing models to precisely predict roof fall rates using fewer fuzzy rules.

关键词： Underground coal mining Roof fall Fuzzy logic Genetic algorithm

Effect of cooling media on bead geometry,microstructure,and mechanical properties of wire arc additive manufactured IN718 alloy

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Advances in Manufacturing 2024年第1期12卷 124-149页

作者： Parveen Kumar satish Kumar Sharma Ratnesh Kumar Raj Singh Department of Mechanical Engineering Thapar Institute of Engineering and TechnologyPatialaPunjab147004India

This work aims to present and explore thermal management techniques for the wire arc additive manufacturing(WAAM)of IN718 *** heat can be mitigated via air or water *** this study,the material was deposited under four different heat-input conditions with air or water *** air cooling,the layer is deposited in a normal atmospheric air environment,whereas with water cooling,the material is deposited inside a water tank by varying the water *** validate the air and water cooling thermal management techniques,IN718 single-pass and multilayer linear walls were deposited using the bidirectional gas metal arc welding based WAAM setup under four different heat input *** the deposition of single layers,the temperature profiles were recorded,and the geometric and microstructural features were *** multilayer wall structures,the mechanical properties(hardness,tensile strength,and elongation)were determined and assessed using the corresponding microstructural features explored through scanning electron microscopy(SEM),energy dispersive spectroscopy(EDS),and electron backscatter diffraction(EBSD)*** microstructure observed through SEM analysis in the building direction was found to be nonhomogenous compared with that in the deposition ***,water cooling was found to govern bead characteristics,such as wall width and *** grain size and anisotropy of the mechanical properties also decreased in the water-cooled ***,water cooling is an economical and efficient method to mitigate excessive heat accumulation in WAAM-deposited IN718.

关键词： Air cooling Water cooling IN718 Bead characteristics Microstructure Electron backscatter diffraction(EBSD)

Systematic Review on Critical Factors and Their Optimization for Solar Cell Performance Enhancement

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 Harbin Institute of Technology(New Series) 2024年第4期31卷 85-98页

作者： Nidhi Shukla satish Kumar Department of Physics Mansarovar Global UniversitySehore 466001India

Solar cells and other renewable energy sources are crucial in today's world where sustainability and environmental consciousness is at *** of this,creating the optimal capacity is a fair aim for the operators of such *** transformation of solar energy into either electricity by means of photovoltaics or into useable fuel by means of photo electrochemical cells remained a primary objective for research organizations and development *** this piece,we will take a look back at the history of solar cells and examine their progression through the *** significant aspects which have an impact on the solar cells' performance are also *** article provides a comprehensive and in-depth overview of the important aspects that affect the solar cells' performance,as well as a discussion of the application of bio-inspired optimization algorithms to improve the parameters of solar *** critical factors and their optimization for solar cell performance enhancement is *** helps identify key performance factors,understand limitations,and challenges,and identify effective optimization *** evaluating trade-offs and synergies,it guides future research and informs industrial applications,leading to more efficient and sustainable solar cell technologies.

关键词： solar energy photovoltaic cells temperature irradiance design optimization

IoT Task Offloading in Edge Computing Using Non-Cooperative Game Theory for Healthcare Systems

在线全文

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 1487-1503页

作者： Dinesh Mavaluru Chettupally Anil Carie Ahmed I.Alutaibi satish Anamalamudi Bayapa Reddy Narapureddy Murali Krishna Enduri Md Ezaz Ahmed School of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Computer Engineering SRM University APGunturIndia College of Computer and Information Sciences Majmaah UniversityAl Majma’ahSaudi Arabia Department of Public Health College of Applied Medical SciencesKing Khalid UniversityAbhaSaudi Arabia

In this paper,we present a comprehensive system model for Industrial Internet of Things(IIoT)networks empowered by Non-Orthogonal Multiple Access(NOMA)and Mobile Edge Computing(MEC)*** network comprises essential components such as base stations,edge servers,and numerous IIoT devices characterized by limited energy and computing *** central challenge addressed is the optimization of resource allocation and task distribution while adhering to stringent queueing delay constraints and minimizing overall energy *** system operates in discrete time slots and employs a quasi-static approach,with a specific focus on the complexities of task partitioning and the management of constrained resources within the IIoT *** study makes valuable contributions to the field by enhancing the understanding of resourceefficient management and task allocation,particularly relevant in real-time industrial *** results indicate that our proposed algorithmsignificantly outperforms existing approaches,reducing queue backlog by 45.32% and 17.25% compared to SMRA and ACRA while achieving a 27.31% and 74.12% improvement in Qn ***,the algorithmeffectively balances complexity and network performance,as demonstratedwhen reducing the number of devices in each group(Ng)from 200 to 50,resulting in a 97.21% reduction in complexity with only a 7.35% increase in energy *** research offers a practical solution for optimizing IIoT networks in real-time industrial settings.

关键词： Internet of Things edge computing offloading NOMA

Genomic selection of eight fruit traits in pear

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Horticultural Plant Journal 2024年第2期10卷 318-326页

作者： Manyi Sun Mingyue Zhang satish Kumar Mengfan Qin Yueyuan Liu Runze Wang Kaijie Qi Shaoling Zhang Wenjing Chang Jiaming Li Jun Wu College of Horticulture State Key Laboratory of Crop Genetics&Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingJiangsu 210095China State Key Laboratory of Crop Biology College of Horticulture Science and EngineeringShandong Agricultural UniversityTai'anShandong 271018China The New Zealand Institute for Plant and Food Research Limited Private Bag 1401Havelock North 4157New Zealand Zhongshan Biological Breeding Laboratory NanjingJiangsu 210014China

Genomic selection (GS) has the potential to improve selection efficiency and shorten the breeding cycle in fruit tree breeding. In this study,we evaluated the effect of prediction methods, marker density and the training population (TP) size on pear GS for improving its performance and reducing cost. We evaluated GS under two scenarios:(1) five-fold cross-validation in an interspecific pear family;(2) independent validation. Based on the cross-validation scheme, the prediction accuracy (PA) of eight fruit traits varied between 0.33 (fruit core vertical diameter)and 0.65 (stone cell content). Except for single fruit weight, a slightly better prediction accuracy (PA) was observed for the five parametrical methods compared with the two non-parametrical methods. In our TP of 310 individuals, 2 000 single nucleotide polymorphism (SNP) markers were sufficient to make reasonably accurate predictions. PAs for different traits increased by 18.21%-46.98%when the TP size increased from 50to 100, but the increment was smaller (-4.13%-33.91%) when the TP size increased from 200 to 250. For independent validation, the PAs ranged from 0.11 to 0.45 using rrBLUP method. In summary, our results showed that the TP size and SNP numbers had a greater impact on the PA than prediction methods. Furthermore, relatedness among the training and validation sets, and the complexity of traits should be considered when designing a TP to predict the test panel.

关键词： Pear Pyrus Prediction method TP size SNP marker number

Noscapine shows antimalarial activity against Plasmodium falciparum 3D7,its clinical isolate Pf140/SS,and Plasmodium berghei ANKA

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Biomedicine 2024年第8期14卷 350-358页

作者： Swaraj Kumar Babu Sameer Maharana Satyaranjan Chhatria Dibya Ranjan Sahoo Ashirbad Nanda satish Kanhar Prativa KBehera Sanjib Mohanty Pradeep Kumar Naik Praveen Kishore Sahu Centre of Excellence in Natural Products and Therapeutics Department of Biotechnology and BioinformaticsSambalpur UniversityJyoti ViharSambalpur OdishaIndia Department of Molecular Biology and Infectious Diseases Community Welfare Society HospitalRourkelaOdishaIndia Molecular&Immunology Laboratory Infectious Disease Biology UnitIspat General HospitalRourkelaOdishaIndia Department of Pharmacy Centurion University of Technology and ManagementBhubaneswarOdishaIndia

Objective:To evaluate the antimalarial activity of noscapine against Plasmodium falciparum 3D7 strain(Pf3D7),its clinical isolate(Pf140/SS),and Plasmodium berghei ANKA(PbA).Methods:Using ring-stage survival assay,phenotypic assessments,and SYBR-green-based fluorescence assay,the antimalarial activities of noscapine were assessed compared with dihydroartemisinin(DHA)in in vivo and in vitro *** addition,hemolysis and cytotoxicity tests were carried out to evaluate its ***-PCR assay was also conducted to determine the effect of noscapine on papain-like cysteine protease Plasmodium falciparum falcipain-2(PfFP-2).Results:The antimalarial efficacy of noscapine against Pf3D7 and Pf140/SS was comparable to DHA,with IC50 values of(7.68±0.88)and(5.57±0.74)nM/mL,respectively,and>95%inhibition of PbA infected *** also showed a safe profile,as evidenced by low hemolysis and cytotoxicity even at high ***,PfFP-2 expression was significantly inhibited in both noscapine-treated Pf3D7 and Pf140/SS(P<0.01).Conclusions:Noscapine has antimalarial properties comparable to standard antimalarial DHA with better safety profiles,which may be further explored as a therapeutic candidate for the treatment of malaria.

关键词： Malaria Plasmodium falciparum Plasmodium berghei Noscapine Antimalarial Dihydroartemisinin Cytotoxicity Falcipain-2

Unveiling osteoprotective potential of biologically active naringenin in rats with dexamethasone-induced osteoporosis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Digital Chinese Medicine 2024年第2期7卷 171-183页

作者： Tejal R.Waykar satish K.Mandlik Deepa S.Mandlik Poona College of Pharmacy Bharati VidyapeethPune 411038India

Objective To investigate the protective effects of naringenin(NRG)against dexamethasone(DEX)-induced osteoporosis(OP)in *** Molecular docking of NRG was done with AutoDock Vina 1.2.0 ***-eight female Wistar rats were randomly divided into six groups(n=8 each):normal control(NC),DEX(7 mg/kg,i.m.),NRG-low(NRG-L;25 mg/kg,i.g.),NRG-medium(NRG-M;50 mg/kg,i.g.),NRG-high(NRG-H;100 mg/kg,i.g.),and alendronate(ALN;0.25 mg/d,i.g.)*** was induced by administering DEX once a week for five weeks in all groups except NC *** in the third week after the initial DEX administration,the rats in NRG-L,NRG-M,NRG-H,and ALN groups received the corresponding treatments daily for three weeks,while NC and DEX groups received no additional *** samples were collected at the end of the experiment for biochemical,bone turnover,antioxidant,lipid profile,and inflammatory cytokine *** bones underwent physical parameter testing and histopathological *** The molecular docking results illustrated that NRG docked with calcitonin(CT),lowdensity lipoprotein(LDL),bone morphogenetic protein(BMP),vascular endothelial growth factor(VEGF)receptor,forkhead transcription factors,and osteoprogenitor cells showed good binding *** rats administered with 25,50,and 100 mg/kg NRG,there was a significant enhancement in serum biochemical indices,characterized by a reduction in tartrate-resistant acid phosphatase(TRAP),parathyroid hormone(PTH),and an elevation in osteocalcin(OC)and CT levels(P0.05),there was a marked increase in bone mineral density(BMD)(P<0.01,P<0.001,and P<0.001,respectively).Antioxidant enzyme markers showed significant upregulation,with higher glutathione,superoxide dismutase,and catalase,and a concurrent decrease in malondialdehyde(MDA)(P<0.05,P<0.01,and P<0.001,respectively).The lipid profile also improved significa

关键词： Naringenin Osteoporosis Dexamethasone Bone turnover markers Inflammatory cytokines

在线全文

学校读者我要写书评

暂无评论

AI驱动制造企业循环商业模式

企业管理 2024年第9期 116-119页

作者：于晓宇尚俊茹王斌 satish Nambisan 上海大学管理学院威斯康星大学米尔沃基分校

AI技术为企业带来机遇与挑战,本文探讨AI在推动制造企业实施循环商业模式方面展现出的巨大潜力,将其归纳为延缓、缩减和闭环三种机制,指出AI驱动存在的挑战并给出对策,以期为相关企业在人工智能时代推进制造企业可持续发展提供理论依据。

关键词：循环商业模式人工智能 AI感知制造业资源利用灯塔工厂