Glass Technology-European Journal of Glass Science and Technology Part a最新文献

{"title":"The Impact of Artificial Intelligence on Chatbot Technology: A Study on the Current Advancements and Leading Innovations","authors":"Farhan Aslam","doi":"10.47672/ejt.1561","DOIUrl":"https://doi.org/10.47672/ejt.1561","url":null,"abstract":"Artificial intelligence (AI) has had a profound impact on various industries, and one prominent domain where its influence is evident is in chatbot technology. Chatbots, computer programs designed to simulate human conversation, have evolved significantly through the advancements in AI, becoming more sophisticated and intelligent. This research paper aims to explore the current state of AI-powered chatbot technology, focusing on the latest advancements and leading innovations. The study delves into the application of natural language processing (NLP) algorithms, machine learning models, and deep learning techniques in chatbot development to gain insights into their capabilities and limitations. The research also highlights leading innovations in AI-powered chatbot technology, such as virtual assistants and voice-enabled chatbots. These conversational agents have transformed various industries, providing innovative solutions to virtual reference services and customer-company interactions. The study delves into the contextual understanding and personalized responses that chatbots can provide, offering tailored interactions to meet users' specific needs and preferences. Furthermore, the integration of other technologies, including speech recognition and sentiment analysis, enhances chatbot capabilities, improving user satisfaction and engagement. However, while AI-powered chatbots have enhanced user experiences, customer satisfaction, and efficiency in industries like customer support and service, they also raise potential ethical and privacy concerns. Medical chatbots, in particular, pose legal and ethical challenges that require careful management and the development of appropriate ethical frameworks. Understanding the advancements, innovations, and impact of AI on chatbot technology is essential for recognizing the potential benefits and challenges these systems present. By addressing ethical and privacy concerns, chatbots can responsibly shape the future of human-computer interactions, further contributing to the broader understanding of AI's role in transforming industries and enhancing user experiences.","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135064852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Network Automation","authors":"Tayyab Muhammad, M. Munir","doi":"10.47672/ejt.1547","DOIUrl":"https://doi.org/10.47672/ejt.1547","url":null,"abstract":"Purpose: The article \"Network Automation in the Contemporary Economy\" explores the concepts and methods of effective network management. The application stack, Jinja template engine, automation architecture, Nornir inventory management, application flow, logging, debugging, and live code testing are just a few of the subjects it covers. Network administrators are more important as digital technologies evolve quickly in order to maintain a safe and dependable network connection. The purpose of this article is to give network administrators the information and abilities they need to successfully traverse the intricacies of network management. It starts by going through the application stack and explaining the roles and relationships between each layer. The Ninja template engine is then described, along with an explanation of how its potent grammar makes network configuration management simple. \u0000Methodology: The research design employed in this study is a combination of qualitative and quantitative approaches. It involved an extensive literature review to gather existing knowledge on network automation and management practices. Additionally, empirical data was collected through surveys and interviews with network administrators to understand their experiences, challenges, and perspectives on network automation. \u0000Findings: The study found that network automation offers numerous benefits, including increased efficiency, reduced human errors, and enhanced network security. The application stack was identified as a critical component of network architecture, and its proper management can significantly impact network performance. The Jinja template engine proved to be an effective tool for simplifying network configuration tasks and promoting standardization across the network infrastructure. \u0000Recommendations: To policymakers, we recommend investing in training programs and resources to equip network administrators with the necessary skills to implement and manage network automation effectively. Developing clear guidelines and standards for network automation can also help organizations adopt automation practices seamlessly. \u0000Theory: The study was informed by the \"Network Automation Theory,\" which posits that automating network management tasks can streamline operations, enhance reliability, and free up human resources for more strategic initiatives. The theory suggests that proper implementation of automation tools and frameworks can lead to a more agile and resilient network infrastructure. The validation of the theory was achieved through empirical data collected from network administrators and their experiences with network automation. The findings aligned with the propositions of the theory, confirming that network automation indeed brings significant benefits to organizations. \u0000Policy: For policymakers, we propose the formulation of a comprehensive policy framework that encourages the adoption of network automation technologies. The policy should f","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"13 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75816903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Alarming Increase in Electronic Gadget Usage among Students during a Layer of the Global Pandemic","authors":"Fahad Ahmed, A. Fareed, Atiya Khan, Danish Q Siddiqui, Javeria Akhter, D. Khan","doi":"10.47672/ejt.1533","DOIUrl":"https://doi.org/10.47672/ejt.1533","url":null,"abstract":"Purpose: Every day, new technologies and appealing devices are released that are aimed at a large portion of our population, particularly youth, and students. These devices get young people addicted; the addiction is to frequently utilize or grow depending on the gadget. People spend a lot of time on it, and it can induce psychological and neurological disturbances, which can lead to significant problems. This study aims to determine the association between the usage of electronic gadgets on students’ physical health and cognitive skills. As COVID-19 indicated extensive use of technology, the main outcome of this study is to intervene in the impact of electronic gadgets either positive or negative on student life. \u0000Methodology: Over 01 year (Feb 21 to Jan 22), this Quantitative- Analytical Cross-sectional study was conducted at Indus University of Health and science, Korangi Crossing, Karachi. Students of three academic departments of the university participated in the study i.e., Indus College of Allied Health Sciences, Indus College of Physical Therapy, and College of Nursing. Sample size of 170 with the margin of error as 4.6% and 95% confidence level. Both male and female age group between (16 to 35) active user of social media and electronic gadgets was enrolled in study from any discipline (nursing, allied health, biosciences, medical technology etc.). Any person with mental and physical disorder previously diagnosed or under any psychological treatment or medication was not included in the study \u0000Findings: \u0000Recommendations: If the study is repeated with a larger and more representative sample (which was not possible due to COVID Pandemic) significant influence or otherwise, of time spent on electronic gadgets on physical health could also be detected. \u0000  \u0000  \u0000  \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"1 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88937331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI Based Real-Time Weather Condition Prediction with Optimized Agricultural Resources","authors":"N. Pierre, Ishimwe Viviane Ishimwe Viviane, Uwimana Lambert, Ishimwe Viviane, Irakora Shadrack, Bakunzi Erneste, Nshimyumuremyi Schadrack, Ntawukuriryayo Alexis, Karanguza Francois, Habiyaremye Theogene","doi":"10.47672/ejt.1496","DOIUrl":"https://doi.org/10.47672/ejt.1496","url":null,"abstract":"Purpose: Unpredictable and rapid change in weather patterns has great impact on agricultural activities, especially for precision agriculture that results in worsened water resources availability, decreased soil fertility, use of pesticide as well as decreased yield productivity. In attempt to alleviate these challenges, this study aims at developing a real-time weather and farm field data driven Artificial Intelligence (AI) and Internet of Things (IoT) system that analyze, manage and schedule irrigation and fertigation as well as enabling farmers to interact with their farms via Smart phone or PCs to optimize energy and water resources. \u0000Methodology: The system employs weather condition monitoring sensors such as atmospheric pressure, air temperature, air humidity and wind speed for collecting real-time farm field data and uses Fuzzy Inference System (FIS) to predict rainfall rate at farm area for 24 hours period. The system also gathers field data such as soil moisture content and soil nutrient content and uses the Machine Learning (ML) algorithms to predict the time for irrigation and fertigation. By combining weather and farm field data, the system schedules the irrigation and fertigation activity. In addition, the mobile application is developed for the farmers to interact, control and monitor the farming activities and the data is presented to the farmers in both graphical and numerical formats. \u0000Findings: The system prototype deployed and tested in the two hectors Maize farm proved that 55% of water, 51% of energy and 20% of fertilizer were saved as well as increases in 20% of Maize yield production compared to previous season. \u0000Recommendations: Since the current irrigation and fertigation practices are based on predetermined time of the day and threshold values for automatic irrigation, this solution introduced the new concept of real-time and short-term weather forecasting that enables farmers to balance the irrigation period and weather pattern for water and fertilizer resources optimization. \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"19 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82389651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Transfer Learning in Natural Language Processing (NLP)","authors":"Jasmin Bharadiya","doi":"10.47672/ejt.1490","DOIUrl":"https://doi.org/10.47672/ejt.1490","url":null,"abstract":"Purpose: The purpose of this study is to address the limited use of transfer learning techniques in radio frequency machine learning and to propose a customized taxonomy for radio frequency applications. The aim is to enable performance gains, improved generalization, and cost-effective training data solutions in this specific domain.
 Methodology: The research design employed in this study involves a comprehensive review of existing literature on transfer learning in radio frequency machine learning. The researchers collected relevant papers from reputable sources and analyzed them to identify patterns, trends, and insights. The method of data collection primarily relied on examining and synthesizing existing literature. Data analysis involved identifying key findings and developing a customized taxonomy for radio frequency applications.
 Findings: The study's findings highlight the limited utilization of transfer learning techniques in radio frequency machine learning. While transfer learning has shown significant performance improvements in computer vision and natural language processing, its potential in the wireless communications domain has yet to be fully explored. The customized taxonomy proposed in this study provides a consistent framework for analyzing and comparing existing and future efforts in this field.
 Recommendations: Based on the findings, the study recommends further research and experimentation to explore the potential of transfer learning techniques in radio frequency machine learning. This includes investigating performance gains, improving generalization capabilities, and addressing concerns related to training data costs. Additionally, collaborations between researchers and practitioners in the field are encouraged to facilitate knowledge exchange and foster innovation. Practice: To practitioners in the field of radio frequency machine learning, this study emphasizes the potential benefits of incorporating transfer learning techniques. It encourages practitioners to explore the application of transfer learning in their specific domain, leveraging prior knowledge to enhance performance and address training data challenges. It also highlights the importance of staying informed about the latest developments and collaborating with experts in the field. Policy: To policy makers, the study underscores the need for supportive policies that promote research and development in radio frequency machine learning. It recommends creating an environment that fosters innovation, encourages collaborations between academia and industry, and provides resources and incentives for further exploration of transfer learning techniques. Policy makers should consider the potential impact of transfer learning on the wireless communications industry and support initiatives that enhance its adoption and implementation.
","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135703230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Artificial Intelligence on Business Processes","authors":"J. Bharadiya","doi":"10.47672/ejt.1488","DOIUrl":"https://doi.org/10.47672/ejt.1488","url":null,"abstract":"Purpose: The purpose of the study is to examine the challenges faced by businesses in integrating and effectively utilizing artificial intelligence (AI) technology. It aims to provide a comprehensive understanding of how AI technologies generate business value and the anticipated benefits they offer. The study also seeks to identify the facilitators and inhibitors of AI adoption and usage, explore different types of AI use in the organizational environment, and analyze their first- and second-order impacts. \u0000Methodology: The study employed the comprehensive literature review research design. The researchers conducted a systematic search using predefined criteria in databases such as Scopus and Web of Science. The search yielded 21 relevant papers that were analyzed and synthesized for this study. The data collection method relied on the examination of existing literature. Data analysis involved identifying key themes, trends, and insights from the selected papers. The researchers conducted a qualitative analysis to extract relevant findings and synthesized the information to derive meaningful conclusions. \u0000Findings: The study revealed several insights regarding the integration and use of AI in businesses. This indicated that organizations struggle with understanding how AI technologies can generate value and how to effectively incorporate them into their operations. Lack of comprehensive knowledge about AI and its value generation processes was identified as a major barrier. Additionally, the study highlighted the facilitators and inhibitors of AI adoption and usage. It identified various types of AI applications in the organizational environment and explored their impacts on business operations. The findings shed light on the challenges businesses face in leveraging AI technology and suggested areas for further research. \u0000Recommendations: To practitioners: The study emphasizes the importance of acquiring comprehensive knowledge about AI technologies and their potential value generation processes. To policy makers: The study highlights the need for supportive policies and regulations to foster AI adoption. It suggests creating an enabling environment that promotes AI research and development. Theory and Validation: The study may have been informed by existing theories related to AI adoption, organizational change, or innovation. Practice: To practitioners, the study underscores the importance of understanding the value and potential of AI technologies. Policy: To policy makers, the study emphasizes the need for policy frameworks that promote AI adoption and address associated challenges. \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"41 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82216091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comprehensive Survey of Deep Learning Techniques Natural Language Processing","authors":"Jasmin Praful Bharadiya","doi":"10.47672/ejt.1473","DOIUrl":"https://doi.org/10.47672/ejt.1473","url":null,"abstract":"In NLP research, unsupervised or semi-supervised learning techniques are increasingly getting more attention. These learning techniques are capable of learning from data that has not been manually annotated with the necessary answers or by combining non-annotated and annotated data. This essay presents a survey of various natural language processing methods. The discipline of natural language processing, which integrates linguistics, artificial intelligence, and computer science, was established to make it easier for computers and human language to communicate with one another. It is, as we can say, relevant psychopathology for the study of computer-human interaction. The understanding of natural language, which entails enabling machines to naturally interpret human language, is one of the many challenges this area faces. Discourse analysis, morphological separation, machine translation, production and understanding of NLP, part-of-speech tagging, recognition of optical characters, speech recognition, and sentiment analysis are some of the most frequent NLP tasks. As opposed to learning, which is supervised and typically yields few correct results for a given amount of input data, this job is typically quite difficult. However, there is a sizable amount of data available that is unannotated in nature, i.e. the entire contents are available on the internet, and it typically yields less accurate findings. \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"18 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89004038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Engineering Game Theory of Green Hydrogen towards Energy Transition using Shariah Jurisprudence Developmental Framework based on Ethical Decision-making from Philosophy of Technology","authors":"Z. Llarena","doi":"10.47672/ejt.1412","DOIUrl":"https://doi.org/10.47672/ejt.1412","url":null,"abstract":"Purpose: This paper is designed to address problems on commercial laws and illustrate sustainable development modellings of ethical decision-making and shariah jurisprudence method to interpret the statutory laws for renewable energies and develop an equation for exhibition of its economic impacts along with the 2050 planning of storage capacity for renewable power percentage of energy transition in relation to service of electricity demands. \u0000Methodology: Hamburg to Rotterdam Rules are legal instruments of commercial transactions pertaining to transportation laws of goods under agreements. Meanwhile, statutory interpretation serves as an illustration of legislative framework formulated for public welfare and safety, in harmony with constitutional laws. Electricity regulations are statutory laws for reflexive judgement of the laws of thermodynamics pertaining to mass conservation, momentum theorem, and energy equation concerning economics of the business environment. \u0000Findings: Green hydrogen is a technical product of concession for renewable energies. The paradigm shift to solar power is a form of energy transition to target carbon emission towards zero level through reduction of greenhouse gases. Sustainable development is a monetary framework of business innovations and marketing of goods and services. However, there are apparent limitations on these contract laws, hence, issues can be raised concerning environmental laws of business transactions pertaining to technological services. \u0000Recommendation: If green economy is the 2050 plan of energy transition, the pressure relative to viscosity of hydrogen power of solar energy must be developed congruent to Ideal Gas Law, exhibiting relativity to Euler and Lorenz number in connection with thermal conductivity and its resistance akin to viscosity.  \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"19 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83392752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semiconducting and scintillating glasses for x-ray detection","authors":"B. Smith, J. Mucciaccio, T. Caplice, L. Wadle, L. McClanahan, L. G. Jacobsohn, U. Akgun","doi":"10.13036/17533546.64.2.04","DOIUrl":"https://doi.org/10.13036/17533546.64.2.04","url":null,"abstract":"X-ray detectors are commonly used for medical, crystallography and space physics applications. Most of the current x-ray detectors use cadmium zinc telluride (CZT) as the active medium. This report investigates high density semiconducting and scintillating glasses as potential alternatives to CZT. For the semiconducting glasses, samples composed of xCuO–((1−x)/2)PbO–((1−x)/2)V2O5 and xFeO–((1−x)/2)PbO–((1−x)/2)V2O5, for the scintillating glasses, samples composed of xGd2O3+yWO3+(1−x−y)2H3BO3, doped with 1–6% Eu3+ or Tb3+, were investigated in this study. The glass-making conditions, density, Raman spectroscopy analysis, photoluminescence excitation and emission spectra, as well as conductivity measurements performed on various samples, are reported. The interaction of x-rays with all the glass samples was simulated using GATE software, and their mass attenuation coefficients were calculated and compared with CZT.","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"23 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83273678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IoT and AI Based Student’s Attendance Monitoring System to Mitigate the Dropout in Non-boarding Secondary Schools of Rwanda: A Case Study of Wisdom School Musanze","authors":"Midas Adolphe Munyaneza, James Madson Gasana, Josephine Uwimana, Jean-Pierre Shumbusho, Joselyne Nzayisenga, Gaspard Gafeza, Martin Niyonzima","doi":"10.47672/ejt.1383","DOIUrl":"https://doi.org/10.47672/ejt.1383","url":null,"abstract":"Purpose: This project aimed to test an IoT and AI based system that monitor students from home to schools, during class hours and from school to home and notify parents and school administrators about the irregularity observed to their respective children. \u0000Methodology: In this project, secondary data was used and was retrieved from the school’s record of Wisdom School Musanze located in Musanze District. The main data to consider were sex whether male or female. Another important data was orphanage,whether pupil is orphan or not orphan, and school fees payment by checking whether student paid school fees or had not paid.  These mentioned data were taken randomly from senior one (S1) to senior six (S6) in academic year 2020-2021. \u0000Findings: The system is equipped of a finger print sensor to register and verify students and staff attendance, a Passive Infrared (PIR) sensor to detect the presence of human to wake-up the device, a real time clock to synchronize each generated report with the local time. A web application is developed to allow students real-time monitoring for parents and school administrators and the system is be able to generate a daily, monthly and annually report.   \u0000Unique contribution to theory, practice and policy: Classification machine learning with decision-tree algorithm is used to analyze data and generate a model to evaluate the impact of monitoring attendance on preventing students to dropout. The generated model with accuracy of 91.4% shows that keeping students’ attendance at high percentage would reduce significantly the dropout rate in secondary schools of Rwanda.   \u0000 ","PeriodicalId":55090,"journal":{"name":"Glass Technology-European Journal of Glass Science and Technology Part a","volume":"14 1","pages":""},"PeriodicalIF":0.3,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87168193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}