Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375381
D. Pavel, V. Callaghan, F. Sepulveda, M. Gardner, A. Dey
Lifestyle management is a growing area aimed at giving individuals support for an increased self-awareness; self-monitoring technologies are essential in providing an objective account of our daily events. However, most self-monitoring technological solutions largely focus on physical health and ignore other aspects. Our goal is to utilise context aware technologies in order to support people in understanding how various aspects of their lives influence their wellbeing, including, for example, mental and social health. For that, we need to gain a deeper insight into the challenges of designing such solutions, from sensing to interaction paradigms. The paper describes the design and implementation of our system, including novel story-based information presentation concepts. We conclude with preliminary results from our exploratory user-based experiments.
{"title":"The story of our lives: From sensors to stories in self-monitoring systems","authors":"D. Pavel, V. Callaghan, F. Sepulveda, M. Gardner, A. Dey","doi":"10.1109/CEEC.2012.6375381","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375381","url":null,"abstract":"Lifestyle management is a growing area aimed at giving individuals support for an increased self-awareness; self-monitoring technologies are essential in providing an objective account of our daily events. However, most self-monitoring technological solutions largely focus on physical health and ignore other aspects. Our goal is to utilise context aware technologies in order to support people in understanding how various aspects of their lives influence their wellbeing, including, for example, mental and social health. For that, we need to gain a deeper insight into the challenges of designing such solutions, from sensing to interaction paradigms. The paper describes the design and implementation of our system, including novel story-based information presentation concepts. We conclude with preliminary results from our exploratory user-based experiments.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126371214","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375376
C. Piña-García, Dongbing Gu
Predicting the occurrence of emerging global threats through Open Social Networks has become a paramount task for national security agencies. We study a set of four foraging strategies to provide an automated searching across the Facebook social network. Our work shows how movement patterns generated by random walks can be developed and applied as novel choices for facing a complex environment, e.g. the Facebook social graph. We develop four algorithms based on optimal foraging theory for crawling the social network and gathering publicly accessible data. We also use our random walks with the aim of sampling and collecting open information through millions of Facebook messages. Finally, this approach allows us to glean insights into the collective moods of regions or groups abroad.
{"title":"Scraping global threats in Facebook through movement patterns generated by random walks","authors":"C. Piña-García, Dongbing Gu","doi":"10.1109/CEEC.2012.6375376","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375376","url":null,"abstract":"Predicting the occurrence of emerging global threats through Open Social Networks has become a paramount task for national security agencies. We study a set of four foraging strategies to provide an automated searching across the Facebook social network. Our work shows how movement patterns generated by random walks can be developed and applied as novel choices for facing a complex environment, e.g. the Facebook social graph. We develop four algorithms based on optimal foraging theory for crawling the social network and gathering publicly accessible data. We also use our random walks with the aim of sampling and collecting open information through millions of Facebook messages. Finally, this approach allows us to glean insights into the collective moods of regions or groups abroad.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133200406","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375370
K. N. ElSayed
Evaluation of Special education students is always done, manually, by specialists. The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system's agent performs its classification of student's disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.
{"title":"Diagnosing learning disabilities in a special education by an intelligent agent based system","authors":"K. N. ElSayed","doi":"10.1109/CEEC.2012.6375370","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375370","url":null,"abstract":"Evaluation of Special education students is always done, manually, by specialists. The presented paper provides an intelligent agent based classification system for diagnosing and evaluation of learning disabilities with special education students. It provides pedagogy psychology profiles for those students and offer solution strategies with the best educational activities. It provides tools that allow class teachers to discuss psycho functions and basic skills for learning skills, then, performs psycho pedagogy evaluation by comprising a series of strategies in a semantic network knowledge base. The system's agent performs its classification of student's disabilities based on its past experience that it got from the exemplars that were classified by expert and acquired in its knowledge base.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430916","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375409
M. Al-Mulla
This study developed a new muscle fatigue feature based on sEMG signals. The evolved feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the sEMG signals. The myoelectric signals were recorded from 13 subjects performing biceps brachii contractions until fatigue. By utilizing the 11 features and a combination of randomly selected mathematical operators a Genetic Algorithm (GA)evolved a novel composite feature. Davies Bouldin Index (DBI) was used by the GA during the seeding and evolution process in its fitness function to measure the separation of the combined feature. Classification results show an average of 75.4% correct classification and a significant improvement (P <; 0.01) of 11.94% when compared with the averages of eight standard sEMG features that are used in current muscle fatigue studies.
{"title":"Evolutionary computation extracts a super sEMG feature to classify localized muscle fatigue during dynamic contractions","authors":"M. Al-Mulla","doi":"10.1109/CEEC.2012.6375409","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375409","url":null,"abstract":"This study developed a new muscle fatigue feature based on sEMG signals. The evolved feature is combining 11 traditional muscle fatigue sEMG parameters to optimally classify the sEMG signals. The myoelectric signals were recorded from 13 subjects performing biceps brachii contractions until fatigue. By utilizing the 11 features and a combination of randomly selected mathematical operators a Genetic Algorithm (GA)evolved a novel composite feature. Davies Bouldin Index (DBI) was used by the GA during the seeding and evolution process in its fitness function to measure the separation of the combined feature. Classification results show an average of 75.4% correct classification and a significant improvement (P <; 0.01) of 11.94% when compared with the averages of eight standard sEMG features that are used in current muscle fatigue studies.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124280669","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375385
M. Althobaiti, Udo Kruschwitz, Massimo Poesio
Named entities (NEs) are textual references via proper names, such aspeople names, company names, places and so on. The importance of NEs has been observed in intranet search engines, including university web sites. In this paper, a mechanism is built exclusively to recognize the three named entities, which are constantly referenced in the University of Essex domain: names, course codes, and room numbers. While a person name is considered a common named entity, course codes and room numbers are specific to the University domain. We developed a technique specifically to train three different classifiers on electronic corpora, consisting of 16,629 examples in total, which were collected and annotated manually from the University domain. The resulting models were then incorporated into the NER system that was built to use pre-trained classifiers in the detection process, mark these NEs, and cross-reference them to the related documents. The proposed method performed well on a test corpus, with the average precision reaching nearly 0.97. The recall varied, but was lower overall than precision with an average of 0.82. Moreover, in terms of name recognition in the University domain, our system outperformed two other systems: the OpenNLP name finder and ANNIE system.
{"title":"Identifying named entities on a University intranet","authors":"M. Althobaiti, Udo Kruschwitz, Massimo Poesio","doi":"10.1109/CEEC.2012.6375385","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375385","url":null,"abstract":"Named entities (NEs) are textual references via proper names, such aspeople names, company names, places and so on. The importance of NEs has been observed in intranet search engines, including university web sites. In this paper, a mechanism is built exclusively to recognize the three named entities, which are constantly referenced in the University of Essex domain: names, course codes, and room numbers. While a person name is considered a common named entity, course codes and room numbers are specific to the University domain. We developed a technique specifically to train three different classifiers on electronic corpora, consisting of 16,629 examples in total, which were collected and annotated manually from the University domain. The resulting models were then incorporated into the NER system that was built to use pre-trained classifiers in the detection process, mark these NEs, and cross-reference them to the related documents. The proposed method performed well on a test corpus, with the average precision reaching nearly 0.97. The recall varied, but was lower overall than precision with an average of 0.82. Moreover, in terms of name recognition in the University domain, our system outperformed two other systems: the OpenNLP name finder and ANNIE system.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483981","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375408
J. Cannan, Huosheng Hu
This paper presents the GE-Fusion Band, a wearable prototype armband that incorporates Gyro and EMG sensor fusion for interfacing with technology. The armband enables any user with some level of yaw and pitch arm movement, and arm muscle voluntary contraction, to potentially control an electrical device like a computer, robotic arm, or mobile phone. Simple Gyro data calculates pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. Only light weight signal processing was required to achieve acceptable results, reducing the required processing time on the microcontroller and receiving device, thereby allowing the GE-Fusion Band to be interfaced with almost any device. The device aims to make interaction more intuitive for disabled users while providing an alternative interface for non-disabled users.
{"title":"A wearable sensor fusion armband for simple motion control and selection for disabled and non-disabled users","authors":"J. Cannan, Huosheng Hu","doi":"10.1109/CEEC.2012.6375408","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375408","url":null,"abstract":"This paper presents the GE-Fusion Band, a wearable prototype armband that incorporates Gyro and EMG sensor fusion for interfacing with technology. The armband enables any user with some level of yaw and pitch arm movement, and arm muscle voluntary contraction, to potentially control an electrical device like a computer, robotic arm, or mobile phone. Simple Gyro data calculates pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. Only light weight signal processing was required to achieve acceptable results, reducing the required processing time on the microcontroller and receiving device, thereby allowing the GE-Fusion Band to be interfaced with almost any device. The device aims to make interaction more intuitive for disabled users while providing an alternative interface for non-disabled users.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297243","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375390
H. Khalil, S. Mazzucato, N. Balkan
The photoconductivity (PC) of two p-i-n GaInNAs/GaAs multiple quantum well (MQW) mesa structures is investigated. When illuminated with photons at energy greater than the GaAs bandgap, at low temperature a number of oscillations are observed in the current-voltage (I-V) characteristics. We found that the position of these oscillations depend upon on the temperature and the magnetic field. Due to the absence of the oscillations in the dark and in the PC at temperatures above 200 K, we explain them in terms of photogenerated electrons thermally escaping from the quantum wells and carrier accumulation. Magnetic fields up to 11 T were applied parallel to the planes of the QWs. A small voltage shift in the position of the oscillations was observed, proportional to the magnetic field intensity and dependent upon the temperature. Calculation of the Landau level energy separation (16 meV) agrees with the observed experimental data.
{"title":"Magnetic field effect on current oscillations observed in p-i-n GaInNAs/GaAs multiple quantum wells structures","authors":"H. Khalil, S. Mazzucato, N. Balkan","doi":"10.1109/CEEC.2012.6375390","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375390","url":null,"abstract":"The photoconductivity (PC) of two p-i-n GaInNAs/GaAs multiple quantum well (MQW) mesa structures is investigated. When illuminated with photons at energy greater than the GaAs bandgap, at low temperature a number of oscillations are observed in the current-voltage (I-V) characteristics. We found that the position of these oscillations depend upon on the temperature and the magnetic field. Due to the absence of the oscillations in the dark and in the PC at temperatures above 200 K, we explain them in terms of photogenerated electrons thermally escaping from the quantum wells and carrier accumulation. Magnetic fields up to 11 T were applied parallel to the planes of the QWs. A small voltage shift in the position of the oscillations was observed, proportional to the magnetic field intensity and dependent upon the temperature. Calculation of the Landau level energy separation (16 meV) agrees with the observed experimental data.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116930145","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375374
P. Du, G. Roussos
The performance of wireless sensor networks (WSN) is prone to adverse influences from a number of factors such as the interference from co-located wireless systems utilising the same spectral space. Channel hopping technique was proposed to mitigate the problem via periodic change of the operating frequency, and has been adopted in the form of time slotted channel hopping (TSCH) by IEEE 802.15.4e standard. This paper proposes adaptive slotted channel hopping (A-TSCH), an enhanced version of the TSCH aided by blacklisting technique. Complete design and implementation specifics are provided; and the results of experiments are analysed to show its advantages over existing TSCH. The main finding of this work is that A-TSCH can significantly improve the reliability of channel hopping scheme and thus provide better protection from interference for wireless sensor networks.
{"title":"Adaptive time slotted channel hopping for wireless sensor networks","authors":"P. Du, G. Roussos","doi":"10.1109/CEEC.2012.6375374","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375374","url":null,"abstract":"The performance of wireless sensor networks (WSN) is prone to adverse influences from a number of factors such as the interference from co-located wireless systems utilising the same spectral space. Channel hopping technique was proposed to mitigate the problem via periodic change of the operating frequency, and has been adopted in the form of time slotted channel hopping (TSCH) by IEEE 802.15.4e standard. This paper proposes adaptive slotted channel hopping (A-TSCH), an enhanced version of the TSCH aided by blacklisting technique. Complete design and implementation specifics are provided; and the results of experiments are analysed to show its advantages over existing TSCH. The main finding of this work is that A-TSCH can significantly improve the reliability of channel hopping scheme and thus provide better protection from interference for wireless sensor networks.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133826953","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375378
B. Koohestani, R. Poli
Large sparse matrices characterise the linear systems found in various scientific and engineering domains such as fluid mechanics, structural engineering, finite element analysis and network analysis. The ordering of the rows and columns of a matrix determines how close to the main diagonal its non-zero elements are, which in turn greatly influences the performance of solvers for the associated linear system. The reduction of the sum of the distance of non-zero elements from the matrix's main diagonal - a quantity known as envelope - is thus a key issue in many domains. Formally, the problem consists in finding a permutation of the rows and columns of a matrix which minimises its envelope. The problem is known to be NP-complete. A considerable number of methods have been proposed for reducing the envelope. These methods are mostly based on graph-theoretic concepts. While metaheuristic approaches are viable alternatives to classical optimisation techniques in a variety of domains, in the case of the envelope reduction problem, there has been a very limited exploration of such methods. In this paper, a Genetic Programming system capable of reducing the envelope of sparse matrices is presented. We evaluate our method on a set of standard benchmarks from the Harwell-Boeing sparse matrix collection against four state-of-the-art algorithms from the literature. The results obtained show that the proposed method compares very favourably with these algorithms.
{"title":"On the application of Genetic Programming to the envelope reduction problem","authors":"B. Koohestani, R. Poli","doi":"10.1109/CEEC.2012.6375378","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375378","url":null,"abstract":"Large sparse matrices characterise the linear systems found in various scientific and engineering domains such as fluid mechanics, structural engineering, finite element analysis and network analysis. The ordering of the rows and columns of a matrix determines how close to the main diagonal its non-zero elements are, which in turn greatly influences the performance of solvers for the associated linear system. The reduction of the sum of the distance of non-zero elements from the matrix's main diagonal - a quantity known as envelope - is thus a key issue in many domains. Formally, the problem consists in finding a permutation of the rows and columns of a matrix which minimises its envelope. The problem is known to be NP-complete. A considerable number of methods have been proposed for reducing the envelope. These methods are mostly based on graph-theoretic concepts. While metaheuristic approaches are viable alternatives to classical optimisation techniques in a variety of domains, in the case of the envelope reduction problem, there has been a very limited exploration of such methods. In this paper, a Genetic Programming system capable of reducing the envelope of sparse matrices is presented. We evaluate our method on a set of standard benchmarks from the Harwell-Boeing sparse matrix collection against four state-of-the-art algorithms from the literature. The results obtained show that the proposed method compares very favourably with these algorithms.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247069","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}
Pub Date : 2012-12-06DOI: 10.1109/CEEC.2012.6375407
O. Aldawibi, E. Ashmila
The Network Simulator (NS2) is simulation tool for networking research purpose. It is an open source code, so it can be modified and extended easily. This paper will present the underwater acoustic channel model and how it has been implemented in NS2 instead of the free-space channel. The acoustic propagation, noise, attenuation and transmission power threshold are discussed. Validation of the developed underwater acoustic model has been presented and compared with analytical results.
{"title":"Developing and validation underwater acoustic channel in NS2 simulator","authors":"O. Aldawibi, E. Ashmila","doi":"10.1109/CEEC.2012.6375407","DOIUrl":"https://doi.org/10.1109/CEEC.2012.6375407","url":null,"abstract":"The Network Simulator (NS2) is simulation tool for networking research purpose. It is an open source code, so it can be modified and extended easily. This paper will present the underwater acoustic channel model and how it has been implemented in NS2 instead of the free-space channel. The acoustic propagation, noise, attenuation and transmission power threshold are discussed. Validation of the developed underwater acoustic model has been presented and compared with analytical results.","PeriodicalId":142286,"journal":{"name":"2012 4th Computer Science and Electronic Engineering Conference (CEEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132099527","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：