检索结果-南通市图书馆

Boosting the oxygen evolution reaction performance of wrinkled mn(OH)_(2) via conductive activation with a carbon binder

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

Journal of Energy Chemistry 2022年第8期31卷 580-587,I0016页

作者： Kahyun ham Jaewon Lee Kiyoung Lee Jaeyoung Lee School of Earth Sciences and Environmental Engineering Gwangju Institute of Science and Technology(GIST)123 Cheomdangwagi-RoGwangju 61005South Korea International Future Research Center of Chemical Energy Storage and Conversion Processes GIST123 Cheomdangwagi-RoGwangju 61005South Korea Ertl Center for Electrochemical and Catalysis GIST123 Cheomdangwagi-RoGwangju 61005South Korea department of Chemistry and Chemical Engineering Inha University100 Inha-RoIncheon 22212South Korea

Electrochemical water splitting is one of the most reliable approaches for environmental-friendly hydrogen *** of their stability and abundance,mn-based materials have been studied as electrocatalysts for the oxygen evolution reaction(OER),which is a more sluggish reaction in the water splitting *** increase the OER activity of mn,it is imperative to facilitate the structural change of mn oxide to the active phase with mn_(3)+species,known as the active ***,we present the relationship between the electronic conductivity in the catalyst layer and the formation of the mn active phase,δ-mnO_(2),from wrinkled mn(OH)_(2).mn(OH)_(2) has poor conductivity,and it disrupts the oxidation reaction toward mnOOH orδ-mnO_(2).Adjacent conductive carbon to mn(OH)_(2) enabled mn(OH)_(2) to be oxidized toδ-mnO_(2).Furthermore,after repetitive cyclic voltammetry activation,the more conductive environment resulted in a higher density ofδ-mnO_(2) through the irreversible phase transition,and thus it contributes to the improvement of the OER activity.

关键词： Hydrogen production Oxygen evolution reaction Anion exchange membrane water electrolysis Anodization manganese oxide

Temporal dynamics of neonatal hypoxic-ischemic encephalopathy injuries on magnetic resonance imaging

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第11期20卷 3144-3150页

作者： Holly Flyger Samantha J.Holdsworth Alistair J.Gunn Laura Bennet ham.d Abbasi mātai medical Research Institute Tairāwhiti GisborneNew Zealand department of Anatomy&medical Imaging Faculty of Medical and Health SciencesThe University of AucklandAucklandNew Zealand Center for Brain Research The University of AucklandAucklandNew Zealand Auckland Bioengineering Institute The University of AucklandAucklandNew Zealand

moderate to severe perinatal hypoxic-ischemic encephalopathy occurs in~1 to 3/1000 live births in high-income countries and is associated with a significant risk of death or neurodevelopmental *** assessment is important to help identify highrisk infants,to help families,and to support appropriate interventions.A wide range of monitoring tools is available to assess changes over time,including urine and blood biomarkers,neurological examination,and *** present,magnetic resonance imaging is unique as although it is expensive and not suited to monitoring the early evolution of hypoxic-ischemic encephalopathy by a week of life it can provide direct insight into the anatomical changes in the brain after hypoxic-ischemic encephalopathy and so offers strong prognostic information on the long-term outcome after hypoxic-ischemic *** review investigated the temporal dynamics of neonatal hypoxic-ischemic encephalopathy injuries,with a particular emphasis on exploring the correlation between the prognostic implications of magnetic resonance imaging scans in the first week of life and their relationship to long-term outcome prediction,particularly for infants treated with therapeutic hypothermia.A comprehensive literature search,from 2016 to 2024,identified 20 pertinent *** review highlights that while the optimal timing of magnetic resonance imaging scans is not clear,overall,it suggests that magnetic resonance imaging within the first week of life provides strong prognostic *** challenges limit the timing consistency,particularly the need for intensive care and clinical ***,although most reports examined the prognostic value of scans taken between 4 and 10 days after birth,there is evidence from small numbers of cases that,at times,brain injury may continue to evolve for weeks after *** suggests that in the future it will be important to explore a wider range of times after hypo

关键词： magnetic resonance imaging neonatal hypoxic-ischemic encephalopathy neurodevelopmental outcomes prognostic biomarkers in neuroimaging scan timing therapeutic hypothermia

Automatic Persian Text Summarization Using Linguistic Features from Text Structure Analysis

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 2021年第12期69卷 2845-2861页

作者： Ebrahim Heidary ham.d Parvïn Samad Nejatian Karamollah Bagherifard Vahideh Rezaie department of Computer Engineering Yasooj BranchIslamic Azad UniversityYasoojIran Institute of Research and development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran department of Electrical Engineering Yasooj BranchIslamic Azad UniversityYasoojIran Young Researchers and Elite Club Yasooj BranchIslamic Azad UniversityYasoojIran department of mathematics Yasooj BranchIslamic Azad UniversityYasoojIran

With the remarkable growth of textual data sources in recent years,easy,fast,and accurate text processing has become a challenge with significant *** text summarization is the process of compressing text documents into shorter summaries for easier review of its core contents,which must be done without losing important features and *** paper introduces a new hybrid method for extractive text summarization with feature selection based on text *** major advantage of the proposed summarization method over previous systems is the modeling of text structure and relationship between entities in the input text,which improves the sentence feature selection process and leads to the generation of unambiguous,concise,consistent,and coherent *** paper also presents the results of the evaluation of the proposed method based on precision and recall *** is shown that the method produces summaries consisting of chains of sentences with the aforementioned characteristics from the original text.

关键词： Natural language processing extractive summarization linguistic feature text structure analysis

Optimal Reordering Trace Files for Improving Software Testing Suitcase

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 2021年第4期67卷 1225-1239页

作者： Yingfu Cai Sultan Noman Qasem Harish Garg ham.d Parvïn Kim-Hung Pho Zulkefli mansor School of measurement and Communication Harbin University of Science&TechnologyHarbinChina Computer Science department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)RiyadhSaudi Arabia department of Computer Science Faculty of Applied ScienceTaiz UniversityTaizYemen School of mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatiala147004India Institute of Research and development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains maklumat Universiti Kebangsan MalaysiaUKM BangiSelangor43600Malaysia

An invariant can be described as an essential relationship between program *** invariants are very useful in software checking and *** tools that are used to detect invariants are invariant *** are two types of invariant detectors:dynamic invariant detectors and static invariant *** software is an available computer program that implements a special case of a dynamic invariant detection *** proposes a dynamic invariant detection algorithm based on several runs of the tested program;then,it gathers the values of its variables,and finally,it detects relationships between the variables based on a simple statistical *** method has some *** of its biggest drawbacks is its overwhelming time *** is observed that the runtime for the daikon invariant detection tool is dependent on the ordering of traces in the trace file.A mechanism is proposed in order to reduce differences in adjacent trace *** is done by applying some special techniques of mutation/crossover in genetic algorithm(GA).An experiment is run to assess the benefits of this *** findings reveal that the runtime of the proposed dynamic invariant detection algorithm is superior to the main approach with respect to these improvements.

关键词： dynamic invariant detection software testing genetic algorithm

dealing with Imbalanced dataset Leveraging Boundary Samples discovered by Support Vector data description

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 2021年第3期66卷 2691-2708页

作者： Zhengbo Luo ham.d Parvïn Harish Garg Sultan Noman Qasem Kim-Hung Pho Zulkefli mansor Graduate School of Information Production and SystemsWaseda UniversityTokyoJapan Institute of Research and development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran School of mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatialaPunjab147004India Computer Science department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic UniversityRiyadhSaudi Arabia Computer Science department Faculty of Applied ScienceTaiz UniversityTaizYemen Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains maklumat Universiti Kebangsaan MalaysiaSelangorMalaysia

These days,imbalanced datasets,denoted throughout the paper by Id,(a dataset that contains some(usually two)classes where one contains considerably smaller number of samples than the other(s))emerge in many real world problems(like health care systems or disease diagnosis systems,anomaly detection,fraud detection,stream based malware detection systems,and so on)and these datasets cause some problems(like under-training of minority class(es)and over-training of majority class(es),bias towards majority class(es),and so on)in classification process and ***,these datasets take the focus of many researchers in any science and there are several solutions for dealing with this *** main aim of this study for dealing with Ids is to resample the borderline samples discovered by Support Vector data description(SVdd).There are naturally two kinds of resampling:Under-sampling(U-S)and oversampling(O-S).The O-S may cause the occurrence of over-fitting(the occurrence of over-fitting is its main drawback).The U-S can cause the occurrence of significant information loss(the occurrence of significant information loss is its main drawback).In this study,to avoid the drawbacks of the sampling techniques,we focus on the samples that may be *** data points that can be misclassified are considered to be the borderline data points which are on border(s)between the majority class(es)and minority class(es).First by SVdd,we find the borderline examples;then,the data resampling is applied over *** the next step,the base classifier is trained on the newly created ***,we compare the result of our method in terms of Area Under Curve(AUC)and F-measure and G-mean with the other state-of-the-art *** show that our method has betterresults than the other state-of-the-art methods on our experimental study.

关键词： Imbalanced learning classification borderline examples

Information Theoretic Weighted Fuzzy Clustering Ensemble

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 2021年第4期67卷 369-392页

作者： Yixuan Wang Liping Yuan Harish Garg Ali Bagherinia ham.d Parvïn Kim-Hung Pho Zulkei mansor department of Electronic Information Engineering School of Information EngineeringWuhan University of TechnologyWuhanChina School of Information Engineering Wuhan University of TechnologyWuhanChina School of Information Engineering Wuhan Huaxia University of TechnologyWuhanChina School of mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatialaPunjabIndia department of Computer Science Dehdasht BranchIslamic Azad UniversityDehdashtIran Institute of Research and development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam Fakulti Teknologi dan Sains maklumat Universiti Kebangsaan malaysia 43600 UKM BangiSelangorMalaysia

In order to improve performance and robustness of clustering,it is proposed to generate and aggregate a number of primary clusters via clustering ensemble *** clustering ensemble approaches attempt to improve the performance of fuzzy clustering ***,in these approaches,cluster(or clustering)reliability has not paid much attention *** cluster(or clustering)reliability makes these approaches weak in dealing with low-quality base clustering *** this paper,we have utilized cluster unreliability estimation and local weighting strategy to propose a new fuzzy clustering ensemble method which has introduced Reliability Based weighted co-association matrix Fuzzy C-means(RBFCm),Reliability Based Graph Partitioning(RBGP)and Reliability Based Hyper Clustering(RBHC)as three new fuzzy clustering consensus *** fuzzy clustering ensemble approach works based on fuzzy cluster unreliability *** unreliability is estimated according to an entropic criterion using the cluster labels in the entire *** do so,the new metric is dened to estimate the fuzzy cluster unreliability;then,the reliability value of any cluster is determined using a Reliability driven Cluster Indicator(RdCI).The time complexities of RBHC and RBGP are linearly proportional with thnumber of data *** and robustness of the proposed method are experimentally evaluated for some benchmark *** experimental results demonstrate efciency and suitability of the proposed method.

关键词： Fuzzy clustering ensemble cluster unreliability consensus function

Selective conversion of N_(2) to NH_(3) on highly dispersed RuO_(2) using amphiphilic ionic liquid-anchored fibrous carbon structure

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 Energy Chemistry 2022年第4期31卷 474-482页

作者： Kahyun ham muhammad Salman Sunki Chung minjun Choi HyungKuk Ju Hye Jin Lee Jaeyoung Lee School of Earth Sciences and Environmental Engineering Gwangju Institute of Science and Technology(GIST)123 Cheomdangwagi-RoGwangju 61005South Korea International Future Research Center of Chemical Energy Storage and Conversion Processes GIST123 Cheomdangwagi-RoGwangju 61005South Korea Ertl Center for Electrochemical and Catalysis GIST123 Cheomdangwagi-RoGwangju 61005South Korea department of Chemistry and Green-Nano materials Research Center Kyungpook National University80 Daehak-RoDaegu-city 41566South Korea Hydrogen Research department Korea Institute of Energy Research152 Gajeong-RoYuseong-guDaejeon 34129South Korea

Ammonia (NH_(3)) plays a key role in the agricultural fertilizer and commodity chemical industries and is useful for exploring hydrogen storage *** electrochemical nitrogen reduction reaction (NRR) is receiving attention as an environmentally sustainable NH_(3) synthesis replacement for the traditional Haber–Bosch process owing to its near ambient reaction conditions (d 1 atm).However,its NH_(3) yield and faradaic efficiency are extremely low because of the sluggish kinetics of N≡N bond dissociation and the hindrance from competitive hydrogen *** overcome these challenges,we herein introduce a dual-functionalized ionic liquid (1-(4-hydroxybutyl)-3-methylimidazolium hydroxide[HOBIm]OH) for a highly dispersed ruthenium oxide electrocatalyst to achieve a biased *** observed uniform distribution of RuO_(2) on the carbon fiber and increase in the surface area for N_(2) adsorption by limiting proton access can be attributed to the presence of imidazolium ***,extensive N_(2) adsorption contributes to enhanced NRR selectivity with an NH_(3) yield of 3.0×10^(-10)mol cm^(-2)s^(-1)(91.8μg h^(-1)mg^(-1)) and a faradaic efficiency of 2.2%at-0.20 V_(RHE).We expect our observations to provide new insights into the design of effective electrode structures for electrochemical NH;synthesis.

关键词： Ammonia synthesis Nitrogen reduction reaction Imidazolium-based ionic liquid Ruthenium oxide

Automatic Text Summarization Using Genetic Algorithm and Repetitive Patterns

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 2021年第4期67卷 1085-1101页

作者： Ebrahim Heidary ham.d Parvïn Samad Nejatian Karamollah Bagherifard Vahideh Rezaie Zulkefli mansor Kim-Hung Pho department of Computer Engineering Yasooj BranchIslamic Azad UniversityYasoojIran Institute of Research and development Duy Tan UniversityDa Nang550000Vietnam Faculty of Information Technology Duy Tan UniversityDa Nang550000Vietnam department of Computer Science Nourabad Mamasani BranchIslamic Azad UniversityMamasaniIran department of Electrical Engineering Yasooj BranchIslamic Azad UniversityYasoojIran Young Researchers and Elite Club Yasooj BranchIslamic Azad UniversityYasoojIran department of mathematics Yasooj BranchIslamic Azad UniversityYasoojIran Fakulti Teknologi dan Sains maklumat Universiti Kebangsan Malaysia43600 UKM BangiSelangorMalaysia Fractional Calculus Optimization and Algebra Research GroupFaculty of Mathematics and StatisticsTon Duc Thang UniversityHo Chi Minh CityVietnam

Taking into account the increasing volume of text documents,automatic summarization is one of the important tools for quick and optimal utilization of such *** summarization is a text compression process for producing a shorter document in order to quickly access the important goals and main features of the input *** this study,a novel method is introduced for selective text summarization using the genetic algorithm and generation of repetitive *** of the important features of the proposed summarization is to identify and extract the relationship between the main features of the input text and the creation of repetitive patterns in order to produce and optimize the vector of the main document features in the production of the summary document compared to other previous *** this study,attempts were made to encompass all the main parameters of the summary text including unambiguous summary with the highest precision,continuity and *** investigate the efficiency of the proposed algorithm,the results of the study were evaluated with respect to the precision and recall *** results of the study evaluation showed the optimization the dimensions of the features and generation of a sequence of summary document sentences having the most consistency with the main goals and features of the input document.

关键词： Natural language processing extractive summarization features optimization repetitive patterns genetic algorithm

Bee venom phospholipase A2 ameliorates amyloidogenesis and neuroinflammation through inhibition of signal transducer and activator of transcription-3 pathway in Tg2576 mice

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Translational Neurodegeneration 2019年第1期8卷 317-332页

作者： Hyeon Joo ham Sang-Bae Han Jaesuk Yun In Jun Yeo Young Wan ham Se Hyun Kim Pil-Hoon Park dong-Young Choi Jin Tae Hong College of Pharmacy and medical Research Center Chungbuk National UniversityOsongsaengmyeong 1-roOsong-eupHeungdeok-guCheongjuChungbuk 28160Republic of Korea department of Chemistry Utah Valley University800 W University PkwyOremUT 84058USA INISTst Co. LTD767Sinsu-roSuji-guYongin-si 16827Gyeonggi-doRepublic of Korea College of Pharmacy Yeungnam University280 Daehak RoadGyeonsanGyeongbuk 38541Republic of Korea

Background:Neuroinflammation and accumulation ofβ-amyloid(Aβ)play a significant role in the onset and progression of Alzheimer’s disease(Ad).Our previous study demonstrated that signal transducer and activator of transcription-3(STAT3)plays a major role in neuroinflammation and ***:In the present study,we investigated the inhibitory effect of bee venom phospholipase A2(bvPLA2)on memory deficiency in Tg2576 mice,which demonstrate genetic characteristics of Ad and the mechanism of its action at the cellular and animal *** in vivo study,we examined the effect of bvPLA2 on improving memory by conducting several behavioral tests with the administration of bvPLA2(1 mg/kg)to Tg2576 *** in vitro study,we examined the effect of bvPLA2 on amyloidogenesis and neuroinflammation by treating bvPLA2 on LPSactivated BV2 ***:We found that bvPLA2 alleviated memory impairment in Tg2576 mice,as demonstrated in the behavioral tests assessing *** the bvPLA2-treated group,Aβ,amyloid precursor protein(APP),and β-secretase 1(BACE1)levels and β-secretase activity were significantly *** of pro-inflammatory cytokines and inflammation-related proteins decreased in the brain of bvPLA2-treated group,whereas anti-inflammatory cytokines *** addition,bvPLA2 reduced STAT3 phosphorylation in the brains of the bvPLA2-treated *** the cellular level,bvPLA2 inhibits production of nitric oxide,pro-inflammatory cytokines,and inflammation-related proteins including ***,bvPLA2 inhibits the production of Aβin cultured BV-2 *** from the docking experiment,pull-down assay,and the luciferase assay show that bvPLA2 directly binds STAT3 and,thus,regulates gene expression ***,when the STAT3 inhibitor and bvPLA2 were administered together,the anti-amyloidogenic and anti-inflammatory effects were further enhanced than when they were administered ***:These results suggest that bvPLA2 could r

关键词： Bee venom phospholipase A2 Alzheimer’s disease Amyloidogenesis Neuroinflammation STAT3