Background: The coronavirus disease (COVID-19) pandemic is a global health emergency with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is historic in scope and precedent given its emer...
详细信息
Background: The coronavirus disease (COVID-19) pandemic is a global health emergency with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is historic in scope and precedent given its emergence in an increasingly digital era. Importantly, there have been concerns about the accuracy of COVID-19 case counts due to issues such as lack of access to testing and difficulty in measuring recoveries. Objective: The aims of this study were to detect and characterize user-generated conversations that could be associated with COVID-19-related symptoms, experiences with access to testing, and mentions of disease recovery using an unsupervised machine learning approach. Methods: Tweets were collected from the Twitter public streaming application programming interface from March 3-20, 2020, filtered for general COVID-19-related keywords and then further filtered for terms that could be related to COVID-19 symptoms as self-reported by users. Tweets were analyzed using an unsupervised machine learning approach called the biterm topic model (BTM), where groups of tweets containing the same word-related themes were separated into topic clusters that included conversations about symptoms, testing, and recovery. Tweets in these clusters were then extracted and manually annotated for content analysis and assessed for their statistical and geographic characteristics. Results: A total of 4,492,954 tweets were collected that contained terms that could be related to COVID-19 symptoms. After using BTM to identify relevant topic clusters and removing duplicate tweets, we identified a total of 3465 (<1%) tweets that included user-generated conversations about experiences that users associated with possible COVID-19 symptoms and other disease experiences. These tweets were grouped into five main categories including first- and secondhand reports of symptoms, symptom reporting concurrent with lack of testing, discussion of recovery, confirmation of negative COVID-19 d
Background: The COVID-19 pandemic has reached 40 million confirmed cases worldwide. Given its rapid progression, it is important to examine its origins to better understand how people’s knowledge, attitudes, and reac...
详细信息
Background: The COVID-19 pandemic has reached 40 million confirmed cases worldwide. Given its rapid progression, it is important to examine its origins to better understand how people’s knowledge, attitudes, and reactions have evolved over time. One method is to use data mining of social media conversations related to information exposure and self-reported user experiences. Objective: This study aims to characterize the knowledge, attitudes, and behaviors of social media users located at the initial epicenter of the outbreak by analyzing data from the Sina Weibo platform in Chinese. Methods: We used web scraping to collect public Weibo posts from December 31, 2019, to January 20, 2020, from users located in Wuhan City that contained COVID-19–related keywords. We then manually annotated all posts using an inductive content coding approach to identify specific information sources and key themes including news and knowledge about the outbreak, public sentiment, and public reaction to control and response measures. Results: We identified 10,159 COVID-19 posts from 8703 unique Weibo users. Among our three parent classification areas, 67.22% (n=6829) included news and knowledge posts, 69.72% (n=7083) included public sentiment, and 47.87% (n=4863) included public reaction and self-reported behavior. Many of these themes were expressed concurrently in the same Weibo post. Subtopics for news and knowledge posts followed four distinct timelines and evidenced an escalation of the outbreak’s seriousness as more information became available. Public sentiment primarily focused on expressions of anxiety, though some expressions of anger and even positive sentiment were also detected. Public reaction included both protective and elevated health risk behavior. Conclusions: Between the announcement of pneumonia and respiratory illness of unknown origin in late December 2019 and the discovery of human-to-human transmission on January 20, 2020, we observed a high volume of public anxie
作者：
Abhishek KumarR. DhanuskodiR. KaliappanK. NandakumarAbhishek Kumar teaches design philosophies at Anant National University
Ahmedabad. He earned his Ph.D in Management from Pondicherry University. He is an Economics graduate from Calcutta University and MBA from BIM Trichy. He has published more than 20 articles in reputed international journals has authored two books written articles and columns for newspapers and is quoted on issues related to leadership and marketing by various media platforms. His research work comprises construction of brand personality scale for media aesthetics and phenomenological design. His recent publications are on philosophy of a photograph hermeneutic reality of product and on philosophy of intimate spaces. R. Dhanuskodi has nearly 40 years of R&D experience at BHEL
India in technical areas applicable for thermal power plants. He is a life member of The Institution of Engineers (India) and The Combustion Institute. He has won two BHEL’s Excel awards under the best author category for technical papers. He has visited France Netherlands and Germany under Indo-Europe Clean Coal Development Program. He has guided 42 UG PG and PhD project works. He holds 11 patents 40 copyrights and 2 design registrations. He has presented papers in 20 conferences and published in 10 national and international journals. R. Kaliappan completed his bachelors in electrical and electronics engineering and Masters in Computer Science. He has 36 years of research experience in different fields of power generation and power plant subsystems such as heat transfer studies on boiler circulation
efficiency improvements of boiler subsystems product improvements/ enhancements and setting up test facilities for research studies. He has published a number of technical papers on MHD power generation and heat transfer studies in various national and international journals. He has more than 25 patents and copyrights on products development related to power boilers. He has won BHEL’S gold medal for product development for Smart Wall Blowing system. K. Nandakumar
The combustion of segregated municipal solid waste (MSW) and the resulted char from the pyrolysis process were investigated in this research. The segregated MSW that was collected and used can be divided into organic ...
The combustion of segregated municipal solid waste (MSW) and the resulted char from the pyrolysis process were investigated in this research. The segregated MSW that was collected and used can be divided into organic and inorganic waste materials. The organic materials were bamboo and banana leaves and the inorganic materials were Styrofoam and snack wrappings. The composition ratio of the waste was based on the percentage of weight of each sample. The thermal behaviour of the segregated MSW was investigated by thermo gravimetric analysis. For the pyrolysis process the prepared samples of 200gram were heated from ambient temperature until a variance of final pyrolysis temperature of 550°C, 650°C and 750°C at a constant heating rate of 25°C/min. It was found that the highest activation energy of the raw materials is achieved from sample CC1 (Char with 100% inorganic materials). The activation energy of the raw materials is relatively lower than that of the char. The higher the final pyrolysis temperature, the lower the calorific value of char. The calorific value gradually increases with the amount of inorganic materials.
The use of agricultural and agro-industrial waste as biomass fuel for power generation like briquettes can be an alternative solution to the problems related at their disposal. Briquettes produced from lignocellulosic...
详细信息
In recent years, the demand for autonomous mobile robots in outdoors environments has been increasing. In order to guide the robot, it is essential to get the current position. In this study, we propose a method to co...
详细信息
In recent years, the demand for autonomous mobile robots in outdoors environments has been increasing. In order to guide the robot, it is essential to get the current position. In this study, we propose a method to correct the self-position of the robot, which is estimated by odometry, aerial imagery, and the SOKUIKI sensor. First, we explore how to superimpose the reflection point cloud on top of the aerial imagery. Next, matching the edge data of aerial imagery and the upper edge of the building from the inclined reflection point cloud corrects the self-correction of the robot, by which the robot is able to run on the straight road for about 60m autonomously.
In the current era of technology,the Internet and web technologies become the center source of *** to the huge amount of contents,one of the main challenges of modern information technology is aimed at how to reduce a...
详细信息
In the current era of technology,the Internet and web technologies become the center source of *** to the huge amount of contents,one of the main challenges of modern information technology is aimed at how to reduce and manage information in a structured way with mobilizing users to the similar kind of relevant ***,any intelligent system should be able to understand people's interest about a particular type of information and automatically mobilize him to the similar kind of available information *** idea of high level Activity Streams along with its standardized format can play a vital role to solve this problem in the broader *** paper introduces a novel system called CoASGen (Consolidation and Activity Streams Generator) which is able to automatically generate high level Activity Streams after aggregating and consolidating from different independent systems (*** a software company context:version management system,wikis,bug trackers etc.).It retrieves life time information as heterogeneous web feed by sensing user activities from those independent systems and then it transforms several similar types of atomic activities into high level Activity Streams using semantic technologies along with its specific standardized ***,it shows these high level Activity Streams to the user interface which is able to automatically motivate users to find relevant information easily without either missing any data or losing valuable *** system solves the problem "data silos" by reducing and managing information in a structured way.
In a fast moving highly competitive business hub;the process of Construction Contracts preparation is usually shortened by resorting to previously prepared forms of agreement templates. Even if due diligence is carrie...
详细信息
ISBN:
(纸本)9781424465200
In a fast moving highly competitive business hub;the process of Construction Contracts preparation is usually shortened by resorting to previously prepared forms of agreement templates. Even if due diligence is carried out during the contract preparation stage, it becomes extremely difficult to anticipate for and include every single contingency that may arise from contract misinterpretation resulted from implicit terms. As such, to mitigate being involved in numerous disputes and arbitration cases due to contractual "gaps", all parties bounded by a binding agreement are recommended to be aware of their Implied Obligations and ensure that their implicit duties are accommodated for, as appropriate, within the construction contract. In this study, a survey measuring the gap between perceptions of 13 pre-identified Implied Obligations and actual experiences has been created and collected from 30 people out of 100 surveys sent out that had demonstrated even though most of the Implied Terms pre-identified are generally agreed on as Obligations by most parties involved in a contract, they are;however, rarely experienced most of the time. This indicates the potential of a high number of claim cases arising due to these contractual gaps.
In this paper, a handle-electrode system is proposed for obtaining the heart rate of a user while riding a bicycle. The system was designed to measure the user's heart rate by only gripping the handle of a bicycle...
In this paper, a handle-electrode system is proposed for obtaining the heart rate of a user while riding a bicycle. The system was designed to measure the user's heart rate by only gripping the handle of a bicycle. Three electrodes made from conductive cloth were adhered to the handle. A method detecting heart-rate from the obtained electrocardiogram was also proposed. To assess the applicability of the proposed system, a simple experiment was performed. The experiment was performed in four conditions of road surfaces; lawn, asphalt, a tiled, and an uneven road. Experimental result suggests that the proposed system can be useful for obtaining R waves while riding a bicycle.
暂无评论