Iraqi Journal for Computer Science and Mathematics最新文献

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Vertex and region colorings of planar idempotent divisor graphs of commutative rings. 交换环的平面幂等因子图的顶点和区域着色。
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.008
Mohammed Authman, Husam Q. Mohammad, Nazar H. Shuker
{"title":"Vertex and region colorings of planar idempotent divisor graphs of commutative rings.","authors":"Mohammed Authman, Husam Q. Mohammad, Nazar H. Shuker","doi":"10.52866/ijcsm.2022.01.01.008","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.008","url":null,"abstract":"The idempotent divisor graph of a commutative ring R is a graph with vertices set in R* = R-{0}, and any distinct vertices x and y are adjacent if and only if x.y = e, for some non-unit idempotent element e2 = e ϵ R, and is denoted by Л(R). The purpose of this work is using some properties of ring theory and graph theory to find the clique number, the chromatic number and the region chromatic number for every planar idempotent divisor graphs of commutative rings. Also we show the clique number is equal to the chromatic number for any planar idempotent divisor graph. Among other results we prove that: Let Fq, Fpa are fieldes of orders q and pa respectively, where q=2 or 3, p is a prime number and a Is a positive integer. If a ring R @ Fq x Fpa . Then (Л(R))= (Л(R)) = *( Л(R)) = 3.","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121947143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Proposed New Framework Scheme for Path Loss in Wireless BodyArea Network 提出了一种新的无线体域网络路径损耗框架方案
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.002
I. Al-Barazanchi, Yi-Ning Niu, Haider Rasheed Abdulshaheed, W. Hashim, Ammar Ahmed Alkahtani, Elika daghighi, Zahraa A. Jaaz, Shihab A. Shawkat, Hafiz Tayyab Rauf
{"title":"Proposed New Framework Scheme for Path Loss in Wireless Body\u0000Area Network","authors":"I. Al-Barazanchi, Yi-Ning Niu, Haider Rasheed Abdulshaheed, W. Hashim, Ammar Ahmed Alkahtani, Elika daghighi, Zahraa A. Jaaz, Shihab A. Shawkat, Hafiz Tayyab Rauf","doi":"10.52866/ijcsm.2022.01.01.002","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.002","url":null,"abstract":"Recent technical developments in wi-fi networking, microelectronic integration and programming,\u0000sensors and the Internet have enabled us to create and enforce a range of new framework schemes to fulfil the\u0000necessities of healthcare-related wireless body area network (WBAN). WBAN sensors continually screen and\u0000measure patients’ indispensable signs and symptoms, and relay them to scientific monitoring for diagnosis. WBAN\u0000has a range of applications, the most necessary of which is to help patients suffering diseases to stay alive. The quality\u0000instance is the coronary heart implant sensor, whose video display unit monitors coronary heart sign and continuously\u0000transmits it. This setup eliminates the need for patients to visit the medical doctor frequently. Instead, they can take\u0000a seat at home and acquire an analysis and prescription for the disease. Today, a sizable effort is being made to\u0000increase low-power sensors and gadgets for utility in WBAN. A new framework scheme that addresses route loss in\u0000WBAN and discusses its penalties in depth is endorsed in this paper. The new framework scheme is applied to three\u0000case scenarios to obtain parameters by measuring vital information about the human body. On-body and intrabody\u0000conversation simulations are conducted. On-body conversation findings show that the route loss between transmitter\u0000and receiver rises with growing distance and frequency","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133650385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Ants Colony Optimization Algorithm in the Hopfield Neural Network for Agricultural Soil Fertility Reverse Analysis 基于Hopfield神经网络的蚁群优化算法的农业土壤肥力反演分析
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.004
H. Abubakar, A. Muhammad, Smaiala Bello
{"title":"Ants Colony Optimization Algorithm in the Hopfield Neural Network for Agricultural Soil Fertility Reverse Analysis","authors":"H. Abubakar, A. Muhammad, Smaiala Bello","doi":"10.52866/ijcsm.2022.01.01.004","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.004","url":null,"abstract":"The Boolean Satisfiability Problem (BSAT) is one of the most important decision problems in mathematical logic and computational sciences for determining whether or not a solution to a Boolean formula.. Hopfield neural network (HNN) is one of the major type artificial neural network (NN) popularly known for it used in solving various optimization and decision problems based on its energy minimization machinism. The existing models that incorporate standalone network projected non-versatile framework as fundamental Hopfield type of neural network (HNN) employs random search in its training stages and sometimes get trapped at local optimal solution. In this study, Ants Colony Optimzation Algorithm (ACO) as a novel variant of probabilistic metaheuristic algorithm (MA) inspired by the behavior of real Ants, has been incorporated in the training phase of Hopfield types of the neural network (HNN) to accelerate the training process for Random Boolean kSatisfiability reverse analysis (RANkSATRA) based for logic mining. The proposed hybrid model has been evaluated according to robustness and accuracy of the induced logic obtained based on the agricultural soil fertility data set (ASFDS). Based on the experimental simulation results, it reveals that the ACO can effectively work with the Hopfield type of neural network (HNN) for Random 3 Satisfiability Reverse Analysis with 87.5 % classification accuracy","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124203396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data 使用大数据在不同的Facebook/Twitter数据集域中使用优化的特征集进行情感分析
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.007
Mohammed Ibrahim Al-mashhadani, Kilan M. Hussein, Enas Tariq Khudir, Muhammad ilyas
{"title":"Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data","authors":"Mohammed Ibrahim Al-mashhadani, Kilan M. Hussein, Enas Tariq Khudir, Muhammad ilyas","doi":"10.52866/ijcsm.2022.01.01.007","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.007","url":null,"abstract":"Now days, in many real life applications, the sentiment analysis plays very vital role for automatic prediction of human being activities especially on online social networks (OSNs). Therefore since from last decade, the research on opinion mining and sentiment analysis is growing with increasing volume of online reviews available over the social media networks like Facebook OSNs. Sentiment analysis falls under the data mining domain research problem. Sentiment analysis is kind of text mining process used to determine the subjective attitude like sentiment from the written texts and hence becoming the main research interest in domain of natural language processing and data mining. The main task in sentiment analysis is classifying human sentiment with objective of classifying the sentiment or emotion of end users for their specific text on OSNs. There are number of research methods designed already for sentiment analysis. There are many factors like accuracy, efficiency, speed etc. used to evaluate the effectiveness of sentiment analysis methods. The MapReduce framework under the domain of big-data is used to minimize the speed of execution and efficiency recently with many data mining methods. The sentiment analysis for Facebook OSNs messages is very challenging tasks as compared to other sentiment analysis because of misspellings and slang words presence in twitter dataset. In this paper, different solutions recently presented are discussed in detail. Then proposed the new approach for sentiment analysis based on hybrid features extraction methods and multi-class Support Vector Machine (SVM). These algorithms are designed using the Big-data techniques to optimize the performance of sentiment analysis","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"3 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129198330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Review of Mathematical Modelling Techniques with Applications in Biosciences 数学建模技术及其在生物科学中的应用综述
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.015
{"title":"Review of Mathematical Modelling Techniques with Applications in Biosciences","authors":"","doi":"10.52866/ijcsm.2022.01.01.015","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.015","url":null,"abstract":"Modelling can provide intellectual frameworks that are necessary to translate data into knowledge.\u0000Mathematical modelling has played an important role in many applications, such as ecology, genetics, engineering, psychology, sociology, physics and computer science, in recent years. This study focused on reviewing mathematical modelling and its applications to biological systems by tracing many metabolic activities of cellular interactions on the one hand and between the spread of epidemics and population growth on the other hand. Various mathematical equations have played fundamental roles in the formation of these systems for model development procedures by describing them mathematically and establishing relationships that characterise the dynamics of a biological phenomenon. Consequently, the creation of new mathematical representations and simulation algorithms is important to the success of biological modelling initiatives. Finally, the optimisation approach performs its primary role in directing and controlling interactions by adjusting the parameters that provide the best possible result for the system","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128936989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
SPEAKER IDENTIFICATION MODEL BASED ON DEEPNURAL NETWOKS 基于深度神经网络的说话人识别模型
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.012
Saadaldeen Rashid Ahmed, Zainab Ali Abbood, hameed Mutlag Farhan, Baraa Taha Yasen, Mohammed Rashid Ahmed, Adil Deniz Duru
{"title":"SPEAKER IDENTIFICATION MODEL BASED ON DEEP\u0000NURAL NETWOKS","authors":"Saadaldeen Rashid Ahmed, Zainab Ali Abbood, hameed Mutlag Farhan, Baraa Taha Yasen, Mohammed Rashid Ahmed, Adil Deniz Duru","doi":"10.52866/ijcsm.2022.01.01.012","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.012","url":null,"abstract":"This study aims is to establish a small system of text-independent recognition of speakers for a\u0000relatively small group of speakers at a sound stage. The fascinating justification for the International Space Station\u0000(ISS) to detect if the astronauts are speaking at a specific time has influenced the difficulty. In this work, we employed\u0000Machine Learning Applications. Accordingly, we used the Direct Deep Neural Network (DNN)-based approach, in\u0000which the posterior opportunities of the output layer are utilized to determine the speaker’s presence. In line with\u0000the small footprint design objective, a simple DNN model with only sufficient hidden units or sufficient hidden\u0000units per layer was designed, thereby reducing the cost of parameters through intentional preparation to avoid the\u0000normal overfitting problem and optimize the algorithmic aspects, such as context-based training, activation functions,\u0000validation, and learning rate. Two commercially available databases, namely, TIMIT clean speech and HTIMIT multihandset communication database and TIMIT noise-added data framework, were tested for this reference model that\u0000we developed using four sound categories at three distinct signal-to-noise ratios. Briefly, we used a dynamic pruning\u0000method in which the conditions of all layers are simultaneously pruned, and the pruning mechanism is reassigned.\u0000The usefulness of this approach was evaluated on all the above contact databases","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133681094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
Blockchain Technology - Based Solutions for IOT Security 基于区块链技术的物联网安全解决方案
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.006
Israa Al_Barazanchi, Aparna Murthy, Ahmad AbdulQadir Al Rababah, Ghadeer Khader, Haider Rasheed Abdulshaheed, Hafiz Tayyab Rauf, Elika Daghighi, Yitong Niu
{"title":"Blockchain Technology - Based Solutions for IOT Security","authors":"Israa Al_Barazanchi, Aparna Murthy, Ahmad AbdulQadir Al Rababah, Ghadeer Khader, Haider Rasheed Abdulshaheed, Hafiz Tayyab Rauf, Elika Daghighi, Yitong Niu","doi":"10.52866/ijcsm.2022.01.01.006","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.006","url":null,"abstract":"Blockchain innovation has picked up expanding consideration from investigating and industry over the later a long time. It permits actualizing in its environment the smart-contracts innovation which is utilized to robotize and execute deals between clients. Blockchain is proposed nowadays as the unused specialized foundation for a few sorts of IT applications. Blockchain would aid avoid the duplication of information because it right now does with Bitcoin and other cryptocurrencies. Since of the numerous hundreds of thousands of servers putting away the Bitcoin record, it’s impossible to assault and alter. An aggressor would need to change the record of 51 percent of all the servers, at the precise same time. The budgetary fetched of such an assault would distantly exceed the potential picks up. The same cannot be said for our private data that lives on single servers possessed by Google and Amazon. In this paper, we outline major Blockchain technology that based as solutions for IOT security. We survey and categorize prevalent security issues with respect to IoT data privacy, in expansion to conventions utilized for organizing, communication, and administration. We diagram security necessities for IoT together with the existing scenarios for using blockchain in IoT applications.","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125564461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
Spectral CG Algorithm for Solving Fuzzy Nonlinear Equations 求解模糊非线性方程的光谱CG算法
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.001
Mezher M. Abed, U. Öztürk, Hisham M. Khudhur
{"title":"Spectral CG Algorithm for Solving Fuzzy Nonlinear Equations","authors":"Mezher M. Abed, U. Öztürk, Hisham M. Khudhur","doi":"10.52866/ijcsm.2022.01.01.001","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.001","url":null,"abstract":"The nonlinear conjugate gradient method is an effective technique for solving large-scale\u0000minimizations problems, and has a wide range of applications in various fields, such as mathematics, chemistry,\u0000physics, engineering and medicine. This study presents a novel spectral conjugate gradient algorithm (non-linear\u0000conjugate gradient algorithm), which is derived based on the Hisham–Khalil (KH) and Newton algorithms. Based on\u0000pure conjugacy condition The importance of this research lies in finding an appropriate method to solve all types of\u0000linear and non-linear fuzzy equations because the Buckley and Qu method is ineffective in solving fuzzy equations.\u0000Moreover, the conjugate gradient method does not need a Hessian matrix (second partial derivatives of functions) in\u0000the solution. The descent property of the proposed method is shown provided that the step size at meets the strong\u0000Wolfe conditions. In numerous circumstances, numerical results demonstrate that the proposed technique is more\u0000efficient than the Fletcher–Reeves and KH algorithms in solving fuzzy nonlinear equations.","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123139595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Detecting The Speaker Language Using CNN Deep Learning Algorithm 使用CNN深度学习算法检测说话人的语言
Iraqi Journal for Computer Science and Mathematics Pub Date : 2022-01-30 DOI: 10.52866/ijcsm.2022.01.01.005
Fawziya M. Rammo, Mohammed N. Al-Hamdani
{"title":"Detecting The Speaker Language Using CNN Deep Learning Algorithm","authors":"Fawziya M. Rammo, Mohammed N. Al-Hamdani","doi":"10.52866/ijcsm.2022.01.01.005","DOIUrl":"https://doi.org/10.52866/ijcsm.2022.01.01.005","url":null,"abstract":"Many languages identification (LID) systems rely on language models that use machine learning (ML) approaches, LID systems utilize rather long recording periods to achieve satisfactory accuracy. This study aims to extract enough information from short recording intervals in order to successfully classify the spoken languages under test. The classification process is based on frames of (2-18) seconds where most of the previous LID systems were based on much longer time frames (from 3 seconds to 2 minutes). This research defined and implemented many low-level features using MFCC (Mel-frequency cepstral coefficients), containing speech files in five languages (English. French, German, Italian, Spanish), from voxforge.org an open-source corpus that consists of user-submitted audio clips in various languages, is the source of data used in this paper. A CNN (convolutional Neural Networks) algorithm applied in this paper for classification and the result was perfect, binary language classification had an accuracy of 100%, and five languages classification with six languages had an accuracy of 99.8%.","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124201396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
Essentially Retractable Modules Relative To A Submodule AndSome Generalizations 相对于子模块的本质可伸缩模块及一些推广
Iraqi Journal for Computer Science and Mathematics Pub Date : 2021-07-30 DOI: 10.52866/ijcsm.2021.02.02.001
S. Al-Aeashi, Fatimah Hussein Al-Bakaa
{"title":"Essentially Retractable Modules Relative To A Submodule And\u0000Some Generalizations","authors":"S. Al-Aeashi, Fatimah Hussein Al-Bakaa","doi":"10.52866/ijcsm.2021.02.02.001","DOIUrl":"https://doi.org/10.52866/ijcsm.2021.02.02.001","url":null,"abstract":"R is a ring with unity, and all modules are unitary right R-modules. The concept of compressible\u0000modules was introduced in 1981 by Zelmanowitz, where module M is called compressible if it can be embedded in\u0000any nonzero submodule A of M . In other words, M is a compressible module if for each nonzero submodule A of\u0000M, f 2 Hom(M;A) exists, such that f is monomorphism. Retractable modules were introduced in 1979 Khuri, where\u0000module M is retractable if Hom(M, A ) 6= 0 for every nonzero submodule A of M . We define a new notion, namely,\u0000essentially retractable module relative to a submodule. In addition, new generalizations of compressible modules\u0000relative to a submodule are introduced, where module M is called compressible module relative to a submodule\u0000N of M . If for all nonzero submodule K of M contains N , then a monomorphism f 2 Hom(M, K) exists. Some\u0000basic properties are studied and many relationships between these classes and other related concepts are presented\u0000and studied. We also introduce another generalization of retractable module, which is called small kernel retractable\u0000module","PeriodicalId":158721,"journal":{"name":"Iraqi Journal for Computer Science and Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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