检索结果-南通市图书馆

Friction 2024年第1期12卷 164-173页

作者： Tomáš POLÁČEk.Petr ŠPERk. Ivan k.UPk. Faculty of Mechanical Engineering Brno University of TechnologyBrno 61669Czech Republic

Macroscale rolling/sliding conditions are in the superlubricity,a little-studied topic so *** purpose of this paper is to examine the formation of elastohydrodynamic lubrication(EHL)films by water-based lubricants(glycerol and polyethylene glycol(PEG)),providing superlubricous *** were carried out on an optical ball-on-disc tribometer under rolling/sliding *** film thick.ess was measured by the thin film colorimetric interferometry,and the viscosity of liquids was measured by rotational and high-pressure falling body *** results show that tribochemical reactions are not the mandatory reason for friction to reach the superlubricity level when using the water-based *** studied liquids themselves are almost *** the addition of water,the signs of shear thinning behavior disappear even *** conditions for this type of lubricant can be predicted using the k.own Hamrock.Dowson *** anomaly in the thick.ess of the lubricants was observed as an abrupt change at certain *** more PEG there is in the lubricant,the higher the thick.ess at the beginning of the jump.

关键词： macroscale superlubricity super low traction water-based lubricants elastohydrodynamic lubrication(EHL) film thick.ess

Hybrid Gene Selection Methods for High-Dimensional Lung Cancer Data Using Improved Arithmetic Optimization Algorithm

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6期79卷 5175-5200页

作者： Mutasem k.Alsmadi Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Lung cancer is among the most frequent cancers in the world,with over one million deaths per *** is required for lung cancer diagnosis and therapy to be effective,accurate,and *** expression microarrays have made it possible to find genetic biomark.rs for cancer diagnosis and prediction in a high-throughput *** Learning(ML)has been widely used to diagnose and classify lung cancer where the performance of ML methods is evaluated to identify the appropriate *** and selecting the gene expression patterns can help in lung cancer diagnoses and ***,microarrays include several genes and may cause confusion or false ***,the Arithmetic Optimization Algorithm(AOA)is used to identify the optimal gene subset to reduce the number of selected *** can allow the classifiers to yield the best performance for lung cancer *** addition,we proposed a modified version of AOA which can work.effectively on the high dimensional *** the modified AOA,the features are rank.d by their weights and are used to initialize the AOA *** exploitation process of AOA is then enhanced by developing a local search algorithm based on two neighborhood ***,the efficiency of the proposed methods was evaluated on gene expression datasets related to Lung cancer using stratified 4-fold *** method’s efficacy in selecting the optimal gene subset is underscored by its ability to maintain feature proportions between 10%to 25%.Moreover,the approach significantly enhances lung cancer prediction *** instance,Lung_Harvard1 achieved an accuracy of 97.5%,Lung_Harvard2 and Lung_Michigan datasets both achieved 100%,Lung_Adenocarcinoma obtained an accuracy of 88.2%,and Lung_Ontario achieved an accuracy of 87.5%.In conclusion,the results indicate the potential promise of the proposed modified AOA approach in classifying microarray cancer data.

关键词： Lung cancer gene selection improved arithmetic optimization algorithm and machine learning

Continuous Lithium-Ion Extraction From Seawater and Mine Water With a Fuel Cell System and Ceramic Membranes

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 & Environmental Materials 2024年第6期7卷 254-261页

作者： Cansu k.k.Lei Wang Jean Gustavo A.Ruthes Antje Quade Matthew E.Suss Volk.r Presser INM–Leibniz Institute for New Materials Campus D2266123Saarbr¨uckenGermany Department of Materials Science&Engineering Saarland UniversityCampus D2266123Saarbr¨uckenGermany Leibniz Institute for Plasma Science and Technology Felix-Hausdorff-Straße 217489GreifswaldGermany Faculty of Mechanical Engineering Technion–Israel Institute of TechnologyHaifa3200003Israel Wolfson Department of Chemical Engineering Technion–Israel Institute of TechnologyHaifa3200003Israel Grand Technion Energy Program Technion–Israel Institute of TechnologyHaifa3200003Israel Saarene–Saarland Center for Energy Materials and Sustainability Campus C4266123Saarbr¨uckenGermany

The demand for electronic devices that utilize lithium is steadily increasing in this rapidly advancing technological *** high-purity lithium in an environmentally friendly way is challenging by using commercialized ***,we propose the first fuel cell system for continuous lithium-ion extraction using a lithium superionic conductor membrane and advanced *** fuel cell system for extracting lithium-ion has demonstrated a twofold increase in the selectivity of Li^(+)/Na^(+)while producing *** data show that the fuel cell with a titania-coated electrode achieves 95%lithium-ion purity while generating 10.23 Wh of energy per gram of *** investigation revealed that using atomic layer deposition improved the electrode's uniformity,stability,and electrocatalytic *** 2000 cycles determined by cyclic voltammetry,the electrode preserved its stability.

关键词： atomic layer deposition cation selectivity electrochemical lithium-ion extraction fuel cell

A Machine Learning Classification Model for Detecting Prediabetes

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 Data Analysis and Information Processing 2024年第3期12卷 462-478页

作者： A. k. M. Raquibul Bashar Mahdi Goudarzi Chris P. Tsok.s Department of Mathematics & Computer Science Augustana College Rock Island Illinois USA Independent Researcher San Francisco California USA Department of Mathematics & Statistics University of South Florida Tampa Florida USA

The incidence of prediabetes is in a dangerous condition in the USA. The lik.lihood of increasing chronic and complex health issues is very high if this stage of prediabetes is ignored. So, early detection of prediabetes conditions is critical to decrease or avoid type 2 diabetes and other health issues that come as a result of untreated and undiagnosed prediabetes condition. This study is done in order to detect the prediabetes condition with an artificial intelligence method. Data used for this study is collected from the Centers for Disease Control and Prevention’s (CDC) survey conducted by the Division of Health and Nutrition Examination Surveys (DHANES). In this study, several machine learning algorithms are exploited and compared to determine the best algorithm based on Average Squared Error (ASE), k.lmogorov-Smirnov (Youden) scores, areas under the ROC and some other measures of the machine learning algorithm. Based on these scores, the champion model is selected, and Random Forest is the champion model with approximately 89% accuracy.

关键词： Prediabetes Machine Learning SVM Forest Cumulative Lift

Exploration of chromene-based BioAIEgens

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

National Science Review 2024年第3期11卷 47-48页

作者： Fritz E.k.hn Department of Chemistry&Catalysis Research Center School of Natural Sciences Technical University of Munich

Photoemission efficiency is usually higher in solution than in solid *** compounds however, display a reverse behavior. Such a behavior is called aggregation-induced emission(AIE).

关键词：

A cross-sectional study of breastfed infants referred for tongue tie assessment and frenotomy in one Canadian health region

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

Pediatric Investigation 2024年第1期8卷 53-60页

作者： Tiffany A.Lee Jessica Bishop Anne Drover William k.Midodzi Laurie k.Twells School of Pharmacy Memorial University of Newfoundland(MUN)St.John’sCanada Faculty of Medicine Memorial University of Newfoundland(MUN)St.John’sCanada

Importance:Tongue tie(TT)is a condition that can cause infant feeding difficulties due to restricted tongue *** TT presents as a significant barrier to breastfeeding,a frenotomy may be *** accepted diagnostic criteria for TT are lack.ng and wide prevalence estimates are *** referral processes and a Frenotomy Assessment Tool were implemented in one Canadian health region to connect breastfeeding dyads with a provider for TT evaluation and ***:To determine the proportion of babies with TT as well as the frequency of ***:This cross-sectional study included infants who initiated breastfeeding at birth and were referred for TT evaluation over a 14-month *** were collected retrospectively by chart review and analyzed using *** associated with frenotomy were examined using logistic ***:Two hundred and forty-one babies were ***-two percent(n=222)were diagnosed with TT and 66.0%(n=159)underwent *** the multivariate model,nipple pain/trauma,inability to latch,inability to elevate tongue,and dimpling of tongue on extension were associated with frenotomy(P<0.05).Most referrals in our region resulted in a diagnosis of TT;however,the number of referrals was lower than expected,and of these two-thirds underwent ***:TT is a relatively common finding among breastfed *** research should examine whether a simplified assessment tool containing the four items associated with frenotomy in our multivariate model can identify breastfed infants with TT who require frenotomy.

关键词： Breastfeeding Nutrition Community health services Pediatrics

Utilization of Logistical Regression to the Modified Sine-Gordon Model in the MST Experiment

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

Open Journal of Modelling and Simulation 2024年第2期12卷 43-58页

作者： Nizar J. Alk.ateeb Hameed k. Ebraheem Eman M. Al-Otaibi Department of Electronic Engineering Technology College of Technological Studies (CTS) The Public Authority of Applied Education and Training (PAAET) Kuwait City Kuwait

In this paper, a logistical regression statistical analysis (LR) is presented for a set of variables used in experimental measurements in reversed field pinch (RFP) machines, commonly k.own as “slink. mode” (SM), observed to travel around the torus in Madison Symmetric Torus (MST). The LR analysis is used to utilize the modified Sine-Gordon dynamic equation model to predict with high confidence whether the slink. mode will lock.or not lock.when compared to the experimentally measured motion of the slink. mode. It is observed that under certain conditions, the slink. mode “lock.” at or near the intersection of poloidal and/or toroidal gaps in MST. However, lock.d mode cease to travel around the torus;while unlock.d mode k.eps traveling without a change in the energy, mak.ng it hard to determine an exact set of conditions to predict lock.ng/unlock.ng behaviour. The significant k.y model parameters determined by LR analysis are shown to improve the Sine-Gordon model’s ability to determine the lock.ng/unlock.ng of magnetohydrodyamic (MHD) modes. The LR analysis of measured variables provides high confidence in anticipating lock.ng versus unlock.ng of slink. mode proven by relational comparisons between simulations and the experimentally measured motion of the slink. mode in MST.

关键词： Madison Symmetric Torus (MST) Magnetohydrodyamic (MHD) Sine-Gordon Toroidal Dynamic Modelling Reversed Field Pinch (RFP) Logistical Regression

EVOLUTION AND INTERACTION OFδ-WAVES IN THE ZERO-PRESSURE GAS DYNAMICS SYSTEM

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Mathematica Scientia 2024年第5期44卷 1801-1836页

作者： Abhishek.DAS k.T.JOSEPH Centre for Data Science Institute of Technical Education and Research(ITER)Siksha‘O’Anusandhan(Deemed to be University)BhubaneswarOdisha751030India Centre for Applicable Mathematics Tata Institute of Fundamental ResearchSharada NagarBangalore560065KarnatakaIndia

Evolution and interaction of plane waves of the multidimensional zero-pressure gas dynamics system leads to the study of the corresponding one dimensional *** this paper,we study the initial value problem for one dimensional zero-pressure gas dynamics *** the first equation is the Burgers equation and the second one is the continuity *** consider the solution with initial data in the space of bounded Borel *** we prove a general existence result in the algebra of generalized functions of *** we study in detail special solutions withδ-measures as initial *** study interaction of waves originating from initial data concentrated on two point sources and interaction with classical shock.rarefaction *** gives an understanding of plane-wave interactions in the multidimensional *** use the vanishing viscosity method in our analysis as this gives the physical solution.

关键词： zero-pressure gas dynamics delta-waves interaction of waves

Controlled deployment of a long tether to operate as a partial space elevator

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

Astrodynamics 2024年第2期8卷 311-321页

作者： Jinbang Huang Arun k.Misra Department of Mechanical Engineering McGill UniversityMontrealQCH3A 0C3Canada

The deployment of a long tether to operate as a partial space elevator,starting from a nucleus in geostationary orbit,is *** deployment is an inherently unstable process because the center of orbit gradually decreases from the geostationary altitude when deployment *** is also observed that the elasticity of the tether has an important effect on deployment *** is shown that the application of a transverse force on the main spacecraft,determined by using linear state feedback.and appropriate gains,can stabilize the *** LQR controller is *** of the dynamics of the system are carried out using this controller for various parametric values of tether elasticity,deployment rates,etc.,to evaluate the efficacy of the controller.

关键词： tether space elevator deployment stability control

Classification of Conversational Sentences Using an Ensemble Pre-Trained Language Model with the Fine-Tuned Parameter

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2期78卷 1669-1686页

作者： R.Sujatha k.Nimala Department of Network.ng and Communications SRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India

Sentence classification is the process of categorizing a sentence based on the context of the *** categorization requires more semantic highlights than other task.,such as dependence parsing,which requires more syntactic *** existing strategies focus on the general semantics of a conversation without involving the context of the sentence,recognizing the progress and comparing *** ensemble pre-trained language model was tak.n up here to classify the conversation sentences from the conversation *** conversational sentences are classified into four categories:information,question,directive,and *** classification label sequences are for analyzing the conversation progress and predicting the peck.ng order of the *** of Bidirectional Encoder for Representation of Transformer(BERT),Robustly Optimized BERT pretraining Approach(RoBERTa),Generative Pre-Trained Transformer(GPT),DistilBERT and Generalized Autoregressive Pretraining for Language Understanding(XLNet)models are trained on conversation corpus with *** tuning approach is carried out for better performance on sentence *** Ensemble of Pre-trained Language Models with a Hyperparameter Tuning(EPLM-HT)system is trained on an annotated conversation *** proposed approach outperformed compared to the base BERT,GPT,DistilBERT and XLNet transformer *** proposed ensemble model with the fine-tuned parameters achieved an F1_score of 0.88.

关键词： Bidirectional encoder for representation of transformer conversation ensemble model fine-tuning generalized autoregressive pretraining for language understanding generative pre-trained transformer hyperparameter tuning natural language processing robustly optimized BERT pretraining approach sentence classification transformer models