检索结果-南通市图书馆

Testing the LCC hypothesis by considering environmental sustainability and economic development:Role of green energy and resource management

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Geoscience Frontiers 2024年第3期15卷 419-430页

作者： Sunil Tiwari Syed ali Raza Shiv Kumar Gupta Irum Shahzadi Mahendra Babu Kuruva Department of Tourism Studies School of Business StudiesCentral University of KeralaIndia Department of Business Administration IQRA UniversityKarachi 75300Pakistan Centre for Mountain Tourism and Hospitality Studies HNB Garhwal Central UniversitySrinagarUttarakhand 246174India Department of Production Engineering São Paulo State University(UNESP)BauruBrazil Department of Business Administration IQRA University Karachi-75300Pakistan Department of Business Management HNB Garhwal Central UniversitySrinagar GarhwalUttarakhand 246174India

This study aims to demystify the role of green energy and green technology in establishing the nexus between behavioural intentions of tourists,technologies,and digital payments by using Perceived value(PV),Compatibility(CO),Perceived Enjoyment(PE),and Social Influence(SI)as a predictor variables,Trust(TR)and satisfaction(sa)as a mediating variables and Behavioural Intentions(BI)as an outcome *** the empirical estimation,we employ smart PLS-Sem,TAM(Technology Acceptance Model)and SPSS and Tested the LCC *** findings suggest that green energy and perceived value have the highest positive impact on tourists’trust towards digital payments followed by compatibility,social influence and perceived ***,tourists’satisfaction and green technology is one of the important determinants of choosing any digital mode of payment,is mostly influence by perceived value,perceived enjoyment,compatibility and social ***,if we choose between trust and satisfaction,trust plays a significant role in exploring the behavioural intentions of tourists about green energy and green technology followed by tourists’*** addition,Tourists’trust and satisfaction are highly correlated and influence each *** study offers novel policy implications in terms of use of green technology and green energy in enhancing trust and satisfaction of tourists in order to deeper understanding of different dimensions of digital payments and M-wallets,and allowing them to explore the long-term value inherent of digital payments and M-wallets.

关键词： Digital payment Green technology Green energy Tourism LCC hypothesis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

甘蔗对叶面喷施Navras营养液的反应

国外农学（甘蔗） 1989年第3期 58-60页

作者： ali.,sa 陈玉水

Effect of Salicylic Acid on Salinity-induced Changes in Brassica juncea

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 Integrative Plant Biology 2008年第9期50卷 1096-1102页

作者： Mohammad Yusuf Syed Aiman Hasan Barket ali Shamsul Hayat Qazi Fariduddin Aqil Ahmad Plant Physiology Section Department of Botany Aligarh Muslim University Department of Applied Sciences Higher College of Technology

Seeds of Indian mustard （Brassicajuncea （L.） Czern. et Coss.） were exposed to 0, 50, 100 and 150 mmol/L NaCI for 8 h and seeds were sown in an earthen pot. These stressed seedlings were subsequently sprayed with 10μmol/L salicylic acid （sa） at 30 d and were sampled at 60 d to assess the changes in growth, photosynthesis and antioxidant enzymes. The seedlings raised from the seeds treated with NaCI had significantly reduced growth and the activities of carbonic anhydrase, nitrate reductase and photosynthesis, and the decrease was proportional to the increase in NaCI concentration. However, the antioxidant enzymes （catalase, peroxidase and superoxide dismutase） and proline content was enhanced in response to NaCI and/or sa treatment, where their interaction had an additive effect. Moreover, the toxic effects generated by the lower concentration of NaCI （50 mmol/L） were completely overcome by the application of sa. It was, therefore, concluded that sa ameliorated the stress generated by NaCl through the alleviated antioxidant system.

关键词： carbonic anhydrase catalase mustard net photosynthetic rate nitrate reductase peroxidase salicylic acid salinity superoxidedismutase.

Process Mining Discovery Techniques for Software Architecture Lightweight Evaluation Framework

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第3期74卷 5777-5797页

作者： Mahdi sahlabadi Ravie Chandren Muniyandi Zarina Shukur Faizan Qamar Syed Hussain ali Kazmi Centre for Cyber Security Faculty of Information Science and Technology(FTSM)Universiti Kebangsaan Malaysia(UKM)Bangi43600SelangorMalaysia

This research recognizes the limitation and challenges of adaptingand applying Process Mining as a powerful tool and technique in theHypothetical Software Architecture (sa) Evaluation Framework with thefeatures and factors of lightweightness. Process mining deals with the largescalecomplexity of security and performance analysis, which are the goalsof sa evaluation frameworks. As a result of these conjectures, all ProcessMining researches in the realm of sa are thoroughly reviewed, and ninechallenges for Process Mining Adaption are recognized. Process mining isembedded in the framework and to boost the quality of the sa model forfurther analysis, the framework nominates architectural discovery algorithmsFlower, Alpha, Integer Linear Programming (ILP), Heuristic, and Inductiveand compares them vs. twelve quality criteria. Finally, the framework’s testingon three case studies approves the feasibility of applying process mining toarchitectural evaluation. The extraction of the sa model is also done by thebest model discovery algorithm, which is selected by intensive benchmarkingin this research. This research presents case studies of sa in service-oriented,Pipe and Filter, and component-based styles, modeled and simulated byHierarchical Colored Petri Net techniques based on the cases’ *** this framework dealswith the system’s log files obtainedfrom sa simulation. Applying process mining is challenging, especially for asa evaluation framework, as it has not been done yet. The research recognizesthe problems of process mining adaption to a hypothetical lightweightsa evaluation framework and addresses these problems during the solutiondevelopment.

关键词： Software architecture process mining hierarchical colored petri Net architectural discovery algorithms model discovery algorithm

Impact of time to diagnosis on the occurrence of cardiogenic shock in MIS‑C post‑COVID-19 infection

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Pediatrics 2023年第6期19卷 595-604页

作者： said Bichali Mathilde Bonnet Marie‑emilie Lampin Jean‑Benoit Baudelet Heloise Reumaux Olivia Domanski Thameur Rakza Alexandre Delarue Morgan Recher Jerome Soquet Francois Dubos Stephane Leteurtre ali Houeijeh Francois Godart Pediatric Cardiology Univ.LilleCHU Lille2 Avenue Oscar Lambret59000 LilleFrance Pediatric Intensive Care Univ.LilleCHU Lille59000 LilleFrance ULR 2694‑Metrics:Evaluation des Technologies de sante et des Pratiques Medicales Univ.Lille59000 LilleFrance Pediatric Rhumatology Univ.LilleCHU Lille59000 LilleFrance Cardiac Surgery Univ.LilleCHU Lille59000 LilleFrance Pediatric emergency Univ.LilleCHU Lille59000 LilleFrance

Background In multisystem inflammatory syndrome in children(MIS-C),diagnostic delay could be associated with *** study aims to measure the time to diagnosis in MIS-C,assess its impact on the occurrence of cardiogenic shock,and specify its *** A single-center prospective cohort observational study was conducted between May 2020 and July 2022 at a tertiary care *** meeting the World Health Organization MIS-C criteria were included.A long time to diagnosis was defined as six days or *** on time to diagnosis were collected by two independent *** primary outcome was the occurrence of cardiogenic *** regression and receiver operating characteristic curve analysis were used for outcomes,and a Cox proportional hazards model was used for *** Totally 60 children were assessed for inclusion,and 31 were finally analyzed[52%males,median age 8.8(5.7-10.7)years].The median time to diagnosis was 5.3(4.2-6.2)*** univariable analysis,age above the median,time to diagnosis,high C-reactive protein,and high N-terminal pro-B-type natriuretic peptide(NT-proBNP)were associated with cardiogenic shock[odds ratio(OR)6.13(1.02-36.9),2.79(1.15-6.74),2.08(1.05-4.12),and 1.70(1.04-2.78),respectively].In multivariable analysis,time to diagnosis≥6 days was associated with cardiogenic shock[adjusted OR(aOR)21.2(1.98-227)].Time to diagnosis≥6 days had a sensitivity of 89% and a specificity of 77% in predicting cardiogenic shock;the addition of age>8 years and NT-proBNP at diagnosis≥11,254 ng/L increased the specificity to 91%.Independent determinants of short time to diagnosis were ageemic[aHR 2.48(1.05-5.85)].Conclusions Time to diagnosis≥6 days was independently associated with cardiogenic shock in *** diagnosis and treatment are crucial to avoid the use of inotropes and

关键词： COVID-19 Delay in diagnosis Heart failure MIS-C saRS-CoV-2

A New Intelligent Approach for Deaf/Dumb People based on Deep 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 2022年第9期72卷 6045-6060页

作者： Haitham Elwahsh Ahmed Elkhouly emad Abouel Nasr ali K.Kamrani Engy El-shafeiy Computer Science Department Faculty of Computers and InformationKafrelsheikh UniversityKafrelsheikhEgypt Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh 11421Saudi Arabia Industrial Engineering Department College of EngineeringUniversity of HoustonHoustonTX 77204-4008USA Department of Computer Science Faculty of Computers and Artificial IntelligenceUniversity of Sadat CitySadat CityEgypt

People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole *** this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy *** this purpose,smart gloves working in real time were *** data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart ***,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control *** flex sensor generates a proportional change in resistance for each individual *** processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view *** compares the input signal to memory-stored specified voltage *** performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different *** the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy.

关键词： Deep learning flex sensor labview Atmega32A low-cost control system accelerometer intelligent glove

Multi-criteria decision making for nuclear power plant selection using fuzzy AHP:Evidence from Indonesia

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy and AI 2023年第4期14卷 99-111页

作者： Ade Gafar Abdullah Mohammad ali Shafii Syeilendra Pramuditya Topan Setiadipura Kurnia Anzhar Electrical Engineering Study Program Universitas Pendidikan IndonesiaBandungIndonesia Physics Department Andalas UniversityPadangIndonesia Nuclear Science and Engineering Study Program Bandung Institute of TechnologyIndonesia Research Center for Nuclear Reactor Technology National Research and Innovation AgencyIndonesia Pusat Unggulan Ipteks Perguruan Tinggi Technical and Vocational Education and Training Research Center(TVET RC)Universitas Pendidikan IndonesiaIndonesia

In terms of planning aspect,nuclear power plant(NPP)development needs analyses,consideration,and right decision making due to multi criteria *** study prioritizes the best site development of Indonesian NPPs in terms of 21 social,economic,and technical perspectives which comprise transmission network,oper-ating cost,economic impact,geology,geotechnic,seismology,population density,environment,cooling water,meteorology,hydrology,proximity to hazardous facilities,topography,land use,proximity to wetland,evacu-ation route,security,transportation network,legal consideration,impact of tourism,land ownership,historical places,and public acceptance,all identified to be considerations for the best *** Fuzzy algorithms(Chang’s Extent Analysis and Buckley’s Fuzzy AHP)were used to determine the criteria priorities as well as NPP site feasibility of two locations in *** results found that geology,geotechnic,and seismology(sa1);security(SO1),population density(sa2),environment(sa3),and cooling water(sa4)had the highest priorities among the 21 *** on the 5 top priority criteria,West Kalimantan and East Kalimantan provinces serve as the best candidates for the NPP *** an innovative and novel multi criteria Fuzzy AHP–based decision making(MCDM)approach has been proven to become a useful reference to select NPP sites in Indonesia.

关键词： Analytical hierarchy process Fuzzy AHP Multi-criteria decision making Nuclear power plant

Sustainability and controlled release behavior of microencapsulated Lactobacillus plantarum PRK7 and its application in probiotic yogurt production

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Food Bioscience 2023年第2期52卷 851-864页

作者： Mariyappan Kowsalya Kattakgounder Govindaraj Sudha saheb ali Thangavel Velmurugan Mohan Prasanna Rajeshkumar Department of Biotechnology K.S.Rangasamy College of Arts and Science(Autonomous)Tiruchengode637215Tamil NaduIndia

Probiotics are used as potential constituents in functional foods and their demand is increasing due to their health ***,to endure the probiotics in intestinal transit and food processing is challenging from a future health *** technique promotes sustainable release at the target *** plantarum PRK7 was microencapsulated with sodium alginate(sa),inulin(sa-I)and skim milk(sa-SK)formulations as encapsulating material to study its influence on food *** physicochemical features and behavior activities of the microbead formulations were analyzed by scanning electron microscopy,Fourier-transformed infrared,X-ray diffraction methods and encapsulation efficiency,swelling and erosion ratio,hygroscopicity,and viability *** physicochemical studies revealed their smooth surface,size ranging from 405 to 511μm,and amorphous *** encapsulation efficiency of sa,sa-I,and sa-SK microbeads were 96.05%±0.85%,92.77%±1.26%,and 93.98%±1.68%,*** controlled release mechanism of microbeads in the simulated gastric juice was confirmed by studying their swelling and erosion *** sa,sa-I,and sa-SK microbeads exhibited 18.14±1.85,2.98±1.35,and 31.25±1.05 g(hygroscopicity);0.40±0.12,0.35±0.15,and 0.13±0.08 g/ml(dispersibility);and 5.3±1.2×10^(7),6.5±1.8×10^(8),and 6.02±1.5×10^(7) CFU/g(viability),***,the in vitro toxicity study was conducted using zebrafish embryos,which confirmed their nontoxic *** evaluation was performed by 21 panelists using the nine-point hedonic *** sa-I formulation showed the highest overall acceptability score of 8.28±0.64 compared to other ***,from this study it was confirmed that the produced symbiotic microbeads would be beneficial in developing functional food products for future applications.

关键词： Microencapsulation Yogurt L.plantarum Inulin Skim milk Alginate Extrusion Probiotics Functional foods

Improving Performance of Recurrent Neural Networks Using Simulated Annealing for Vertical Wind Speed Estimation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy Engineering 2023年第4期120卷 775-789页

作者： Shafiqur Rehman HilalH.Nuha ali Al Shaikhi satria Akbar Mohamed Mohandes Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) KFUPMDhahran31261Saudi Arabia HUMIC Engineering School of ComputingTelkom UniversityBandung40257Indonesia Electrical Engineering Department King Fahd University of Petroleum&Minerals(KFUPM)Dhahran31261Saudi Arabia

An accurate vertical wind speed(WS)data estimation is required to determine the potential for wind farm *** general,the vertical extrapolation of WS at different heights must consider different parameters fromdifferent locations,such as wind shear coefficient,roughness length,and atmospheric *** novelty presented in this article is the introduction of two steps optimization for the Recurrent Neural Networks(RNN)model to estimate WS at different heights using measurements from lower *** first optimization of the RNN is performed to minimize a differentiable cost function,namely,mean squared error(MSE),using the Broyden-Fletcher-Goldfarb-Shanno ***,the RNN is optimized to reduce a non-differentiable cost function using simulated annealing(RNN-sa),namely mean absolute error(MAE).Estimation ofWS vertically at 50 m height is done by training RNN-sa with the actualWS data a 10–40 m *** estimatedWS at height of 50 m and the measured WS at 10–40 heights are further used to train RNN-sa to obtain WS at 60 m *** procedure is repeated continuously until theWS is estimated at a height of 180 *** RNN-sa performance is compared with the standard RNN,Multilayer Perceptron(MLP),Support Vector Machine(SVM),and state of the art methods like convolutional neural networks(CNN)and long short-term memory(LSTM)networks to extrapolate theWS *** estimated values are also compared with realWS dataset acquired using LiDAR and tested using four error metrics namely,mean squared error(MSE),mean absolute percentage error(MAPE),mean bias error(MBE),and coefficient of determination(R2).The numerical experimental results show that the MSE values between the estimated and actualWS at 180mheight for the RNN-sa,RNN,MLP,and SVM methods are found to be 2.09,2.12,2.37,and 2.63,respectively.

关键词： Vertical wind speed estimation recurrent neural networks simulated annealing multilayer perceptron support vector machine