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Evaluation of Big Data Analytics and Cognitive Computing in Smart Health Systems 大数据分析和认知计算在智能卫生系统中的评估
Pub Date : 2022-08-21 DOI: 10.5912/jcb1088
B. Hu, Zhenhan Zhang
The current era of Big Data has led to the use of advanced AI programs that can learn from individual data points, providing intelligent feedback in real time. Their ability to learn and grow more complex is particularly important when they are applied to smart health systems. These systems carry out an analysis of patient data through the use of machine learning and deep learning methods with customizable models designed using the latest advancements in artificial intelligence software. Furthermore, Big Data Analytics has also allowed for a new form of computational intelligence, which is cognitive computing. Experimental results: the average query performance acceleration ratio of the designed complex network big data overlapping information detection method and the other two detection methods is 11.585, 17.411 and 17.642, which proves that the detection method integrates the advantages of cloud computing platform has a higher performance.
当前的大数据时代导致了先进的人工智能程序的使用,这些程序可以从单个数据点学习,实时提供智能反馈。当它们应用于智能卫生系统时,它们学习和变得更加复杂的能力尤为重要。这些系统通过使用机器学习和深度学习方法,利用人工智能软件的最新进展设计的可定制模型,对患者数据进行分析。此外,大数据分析还允许一种新形式的计算智能,即认知计算。实验结果:所设计的复杂网络大数据重叠信息检测方法与其他两种检测方法的平均查询性能加速比分别为11.585、17.411和17.642,证明该检测方法融合了云计算平台的优势,具有更高的性能。
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引用次数: 1
The Effect of Computer-Assisted Instruction on Piano Education: An Experimental Study of Students of biological sciences 计算机辅助教学在钢琴教学中的作用——生物科学专业学生的实验研究
Pub Date : 2022-08-21 DOI: 10.5912/jcb1073
Xuesheng Huang, Yanqing Hu
The paper follows the experimental study of "the effect of computer-assisted instruction on piano teaching: An experimental study of students of biological sciences". It analyzes the results, which show a significant increase in practice time and success rate. Scientists from both universities have been working on a project to see if computer-assisted instruction would be useful for music education. They ran an experiment with students to see its effects. They found that it had greater effects on some types of learning than others. The paper summarizes the findings and talks about implications for future research in this field as well as practical applications for computer-assisted instruction in various fields, including education. Evaluation was based on three areas: practice, piano playing, and music appreciation. Students were divided into two groups: computer students and students without computers. The research team had expected that by using the computer, students will be able to practice longer and improve more quickly. The experiment also supposed that the additional practice would affect their concentration and listening skills in playing well-known pieces of music.
本文以“计算机辅助教学对钢琴教学的影响:生物科学专业学生的实验研究”为研究对象。对结果进行了分析,结果表明练习时间和成功率显著增加。这两所大学的科学家一直在进行一个项目,看看计算机辅助教学是否对音乐教育有用。他们对学生进行了一项实验,以观察其效果。他们发现,它对某些类型的学习的影响比其他类型的更大。本文总结了研究结果,并谈到了对该领域未来研究的启示,以及计算机辅助教学在包括教育在内的各个领域的实际应用。评估基于三个方面:练习、钢琴演奏和音乐欣赏。学生被分为两组:电脑学生和没有电脑的学生。研究小组曾预计,通过使用电脑,学生们将能够练习更长时间,提高更快。实验还假设,额外的练习会影响他们演奏知名音乐的注意力和听力。
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引用次数: 0
Evaluation of Tunnel farming for more productive than traditional agriculture 隧道农业比传统农业更有生产力的评估
Pub Date : 2022-08-21 DOI: 10.5912/jcb1042
Junwei Zhou
The transition from traditional agriculture to tunnel farming is expected to be beneficial for the environment, leading to increased productivity and lower CO2 emissions per unit of rice. However, it is unclear whether the benefits will outweigh the additional costs of this method. To evaluate this issue, we make a cost-effectiveness analysis using a lifecycle approach in which farm management costs are equated with environmental damages due to nitrogen leaching and soil degradation. The benefits of tunnel farming are found to exceed its additional costs by up to 89 percent when comparing long-run production levels between two simulations: one including fertilisation, pollution control equipment and other inputs for traditional agriculture; one including all inputs necessary for tunnel farming.
从传统农业向隧道农业的过渡预计将有利于环境,从而提高生产力和降低单位水稻的二氧化碳排放量。然而,目前尚不清楚这种方法的好处是否会超过额外的成本。为了评估这个问题,我们使用生命周期方法进行了成本效益分析,其中农场管理成本等同于氮浸出和土壤退化造成的环境损害。在比较两种模拟的长期生产水平时,发现隧道农业的好处超过了其额外成本高达89%:一种模拟包括施肥、污染控制设备和传统农业的其他投入;其中包括隧道农业所需的所有投入。
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引用次数: 0
Development of the Digital Health Literacy Instrument: Measuring a Broad Spectrum 数字健康素养工具的发展:广谱测量
Pub Date : 2022-08-21 DOI: 10.5912/jcb1056
Ning Chen, Hui Li, Yali Li*
The current signal capture algorithm uses the correlation function of the signal to achieve capture, which not only has high processing complexity, but also leads to low synchronous capture accuracy. In order to improve the adaptability of the binary offset carrier signal capture algorithm and to improve the defects of the traditional capture algorithm, the spectrum correction-based binary offset carrier signal capture algorithm will be studied. Based on the established binary offset carrier signal model, the signal tracking capture loop is designed. After the spectral correction processing of the signal, the judgment loop is designed based on the bandwidth folding principle to realize the signal capture. The simulation experiments show that the average capture rate of the studied signal capture algorithm is 95.63%, and the main peak amplitude of the captured signal is higher and the capture effect is better.
目前的信号捕获算法利用信号的相关函数来实现捕获,不仅处理复杂度高,而且导致同步捕获精度低。为了提高二进制偏置载波信号捕获算法的适应性,改进传统捕获算法的缺陷,本文将研究基于频谱校正的二进制偏置载波信号捕获算法。在建立的二进制偏置载波信号模型的基础上,设计了信号跟踪捕获回路。在对信号进行频谱校正处理后,基于带宽折叠原理设计判断环路,实现信号捕获。仿真实验表明,所研究的信号捕获算法的平均捕获率为95.63%,捕获信号的主峰幅值较高,捕获效果较好。
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引用次数: 2
RURAL ENTREPRENEURSHIP OPPORTUNITIES IN NORTH EASTERN REGION OF China 中国东北地区的农村创业机会
Pub Date : 2022-08-20 DOI: 10.5912/jcb1067
W. Gan
In China, some rural areas are witnessing a new entrepreneurial revolution. Rural entrepreneurship has become a key driver of economic development in the country. With their innovative ideas and efforts, rural entrepreneurs have created new jobs and economic growth models in rural areas. But equally as important is that they are creating opportunities for local people to participate in the economy, contributing to social equity and building a common future for China's rural farmers and communities. Rural entrepreneurship is an opportunity for people who have not previously enjoyed similar opportunities because of their geographical location or lack of education or more traditional sources of employment. They bring innovation, business skills, and capital into these regions at levels previously unfeasible without the assistance from these entrepreneurs.
在中国,一些农村地区正在经历一场新的创业革命。农村创业已成为该国经济发展的关键驱动力。农村企业家以他们的创新理念和努力,在农村地区创造了新的就业机会和经济增长模式。但同样重要的是,他们正在为当地人创造参与经济的机会,为社会公平做出贡献,并为中国农村农民和社区建设一个共同的未来。农村创业是那些以前因为地理位置或缺乏教育或更传统的就业来源而没有享受过类似机会的人的机会。如果没有这些企业家的帮助,他们将创新、商业技能和资本带到这些地区,其水平以前是不可行的。
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引用次数: 0
Electrical energy storage with engineered biological systems 电能储存与工程生物系统
Pub Date : 2022-08-20 DOI: 10.5912/jcb1069
Hongping Qin, Xun Zhang, Youwu Xu
Bioenergy storage systems in plants and animals involve a number of different metabolic pathways that can be utilized to store the energy obtained from external sources. One of these pathways entails the conversion of carbohydrates into fatty acids and their subsequent esterification into triglycerides. This provides a natural storage form for the energy produced by photosynthesis, which is used as an alternative to batteries or other forms of electrical storage. These energy storage systems provide a means to store energy while still using the natural productivity of the system. The results of this study will be used to investigate how long-term storage alters metabolic pathways due to the effects of temperature and sunlight. This will provide insight into how these types of organisms can be manipulated for use as a possible alternative form of electrical energy storage and hopefully have a positive effect in regards to our daily lives.
植物和动物的生物能量储存系统涉及许多不同的代谢途径,可以用来储存从外部来源获得的能量。其中一种途径需要将碳水化合物转化为脂肪酸,然后将其酯化成甘油三酯。这为光合作用产生的能量提供了一种自然的储存形式,它被用作电池或其他形式的电力储存的替代品。这些能量储存系统提供了一种储存能量的方法,同时仍然使用系统的自然生产力。这项研究的结果将用于研究由于温度和阳光的影响,长期储存如何改变代谢途径。这将使我们深入了解如何操纵这些类型的生物体作为电能存储的可能替代形式,并有望对我们的日常生活产生积极影响。
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引用次数: 0
Analysis of Clustering Algorithms in Machine Learning for Healthcare Data 医疗数据机器学习中的聚类算法分析
Pub Date : 2022-08-20 DOI: 10.5912/jcb1055
Jingyou Zhang, Haiping Zhong
In fields such as healthcare, the use of data can lead to an increased chance of reaching patient outcomes. This research project aims to develop an effective way to analyze clustering algorithms in machine learning for healthcare data. This paper investigates four different algorithms and provides a comparison of their efficiency. Data in science and technology are expanding at an exponential rate. It is important that these changes can be analyzed properly with algorithms so that they can be used appropriately and efficiently during the analysis process, specifically when it comes to health care. Automated systems are becoming more prevalent in today’s society because they have the ability to analyze large amounts of information automatically which extends their usage throughout many industries.
在医疗保健等领域,数据的使用可以增加达到患者结果的机会。本研究项目旨在开发一种有效的方法来分析医疗保健数据机器学习中的聚类算法。本文研究了四种不同的算法,并对它们的效率进行了比较。科技领域的数据正以指数级的速度增长。重要的是,这些变化可以用算法正确地分析,以便在分析过程中适当有效地使用它们,特别是在涉及医疗保健时。自动化系统在当今社会变得越来越普遍,因为它们具有自动分析大量信息的能力,这将它们的使用扩展到许多行业。
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引用次数: 1
Mean clustering estimation method of financial profit of financial derivatives of listed companies 上市公司金融衍生品财务利润的均值聚类估计方法
Pub Date : 2022-08-20 DOI: 10.5912/jcb1202
Tian Wang, Yining Wang, Xiangyang Zhang, Zengxin L
This research study aims to measure the nexus between that green financial management, economic development, and that system in a post-pandemic world. This paper is based on the financial profit of financial derivatives of listed companies. This paper is an analytical and calculating instrument for analyzing the efficiency and effectiveness of your company's cost-benefit tradeoff, and improving management efficiency. This research is based on secondary data form, and data was collected from the world development indicators. By data was collected used different websites regarding green financial management and the post-pandemic world. This research study depends on an analysis based and for test analysis used eviews software to measure the nexus between economic development and systems, the green financial management in a post-pandemic world. This research study used different tools and techniques, including descriptive statistical analysis, the correlation coefficient, and the regression test analysis between dependent and independent variables. The unit root test and histogram graphical test analysis also presented the effect of green financial management and the post-pandemic of the world (COVID-19). For this purpose used some variables related to economic development, including gross domestic product (GDP), Per capita income (PCI), working capital (W.C.), etc. For measuring the data analysis, the overall result found an inverse (Negative) impact between green financial management and economic development due to the post-pandemic of world.
本研究旨在衡量疫情后世界中绿色金融管理、经济发展和该体系之间的联系。本文以上市公司金融衍生品的财务利润为研究对象。本文是分析贵公司成本效益权衡的效率和效果,提高管理效率的分析计算工具。本研究采用二次数据形式,数据来源于世界发展指标。通过使用不同的网站收集有关绿色金融管理和大流行后世界的数据。本研究依赖于基于分析和测试分析的eviews软件来衡量经济发展与系统之间的关系,即大流行后世界的绿色财务管理。本研究使用了不同的工具和技术,包括描述性统计分析、相关系数分析、因变量和自变量之间的回归检验分析。单位根检验和直方图检验分析也揭示了绿色金融管理对全球大流行后(COVID-19)的影响。为此,使用了一些与经济发展相关的变量,包括国内生产总值(GDP)、人均收入(PCI)、营运资金(W.C.)等。对于测量数据分析,总体结果发现,由于全球后大流行,绿色金融管理与经济发展之间存在负向(负)影响。
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引用次数: 0
An effective blended online Political teaching and learning strategy during the COVID-19 pandemic 新冠肺炎大流行期间有效的混合在线政治教学策略
Pub Date : 2022-08-20 DOI: 10.5912/jcb1066
Wang Meng, Liu Dan-dan
The COVID-19 pandemic has led to new challenges for teachers as well as students in different countries. International scholars and researchers provide insight into the success of blended learning approaches that foster social and emotional connectedness, affective learning processes, feedback loops, cultural understanding and dialogue. This article will explore how a blended teaching strategy was developed during the COVID-19 pandemic that brings together web-based teaching with face-to-face interaction in order to support the resilience of students from different countries. Online teaching is used primarily for course materials and exams, but increasingly it is being used for other educational activities including helping people to recover from mental illness or disaster.
新冠肺炎大流行给各国教师和学生带来了新的挑战。国际学者和研究人员对混合式学习方法的成功提供了深入的见解,这些方法促进了社会和情感联系、情感学习过程、反馈循环、文化理解和对话。本文将探讨在2019冠状病毒病大流行期间如何制定混合教学策略,将网络教学与面对面互动结合起来,以支持来自不同国家的学生的适应能力。在线教学主要用于课程材料和考试,但越来越多地用于其他教育活动,包括帮助人们从精神疾病或灾难中恢复过来。
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引用次数: 1
Analysis of the critical review of social entrepreneurship and its relationship with information technology 社会企业家精神及其与信息技术关系的批判性评论分析
Pub Date : 2022-08-19 DOI: 10.5912/jcb1295
Helen wake, Julius Taba, Elizabeth cooper
The basic purpose of this research study is to determine the analysis of the critical review of social entrepreneurship and its relationship with information technology. This research study was conducted in the UK related to social entrepreneurship and information technology. This research study is based on primary data analysis for collecting the data using specific questions related to the variables. These data were collected from social entrepreneurs and businessmen, owners of the companies, and then critical reviews on these activities related to information technology. Social entrepreneurship is the main independent variable. It includes social capital, social innovation, and social networking site. These are all subpart of social entrepreneurship. Information technology is a dependent variable. This research study depends upon primary data for measuring the research study using smart P.L.S. software and running different results. The smart P.L.S. Algorithm model, the indicator correlation, R square, reliability, and discriminant validity analysis measure the critical review of social entrepreneurship and its relationship with information technology. The over result found that social entrepreneurship shows that positive and significant relationship between them. Social capital and innovation also show a significant negative relationship with information technology. The social networking site presents a positive and significant relationship with information technology.
本研究的基本目的是确定对社会企业家精神及其与信息技术关系的批判性评论的分析。本研究是在英国进行的,与社会创业和信息技术有关。本研究以原始数据分析为基础,利用与变量相关的具体问题收集数据。这些数据是从社会企业家和商人、公司所有者那里收集的,然后是对这些与信息技术相关的活动的批判性评论。社会企业家精神是主要的自变量。它包括社会资本、社会创新和社会网站。这些都是社会企业家精神的一部分。信息技术是一个因变量。本研究以原始数据为基础,使用智能pls软件进行测量,并运行不同的结果。智能P.L.S.算法模型、指标相关性、R方、信度和判别效度分析衡量社会企业家精神的批判性评价及其与信息技术的关系。结果发现,社会企业家精神在二者之间存在显著的正相关关系。社会资本与创新也与信息技术呈显著负相关。社交网站与信息技术呈显著正相关。
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引用次数: 0
期刊
Journal of commercial biotechnology
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