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This research presents an overview of the film distribution changes caused by the COVID-19 impact on Taiwan's cinema market and shows a preliminary comparison between numbers of film released, the number of theaters, screening days, tickets sold and box office and film production countries during the period. The goal of this study is to address the factors that affect the strategy to engage the present film distribution market in Taiwan. The result indicates there are significant differences between film release stage and box office. It is proposed for applying an appropriate reduction in Hollywood films' release, such as total quantity control. The result provides domestic films with opportunities to arrange a movie release schedule. This study explores further film distribution policymaking research. © 2023 Author(s).
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Background At least 80% of new cervical cancer cases and deaths occur in low- and middleincome countries. Vietnam is a middle-income country where cervical cancer is the second most common and the deadliest gynecologic cancer. Cervical cancer incidence in Southern Vietnam has been shown to be 1.5-4 times higher than that in Northern Vietnam. However, less than 10% of Southern Vietnamese women have received the Human papillomavirus (HPV) vaccine and only 50% have ever been screened for cervical cancer. No study has examined the perceptions toward cervical cancer prevention and screening in Southern Vietnamese women. Hence, this study aimed to explore cervical cancer awareness, barriers to screening, and acceptability of HPV self-sampling for cervical cancer screening among rural and urban women in Southern Vietnam. Methods In October-November 2021, three focus groups were conducted in the rural district of Can Gio (n=21 participants) and three were conducted in the urban District Four (n=23 participants) in Ho Chi Minh City, Southern Vietnam. All participants were cervical cancer-free women aged 30-65 years. Awareness of, attitudes toward, and experience with cervical cancer prevention and screening were explored using audio-recorded, semi-structured discussions in Vietnamese. During the focus groups, participants also watched four short videos with Vietnamese subtitles and voiceover about cervical cancer screening methods and discussed their views on each. The recordings were transcribed, translated into English, and coded and analyzed using Dedoose 9.0.46. Results Four main themes emerged. First, women showed low awareness, but high acceptance of cervical cancer screening and HPV vaccination. Second, screening barriers were related to logistics (e.g., cost, time, travel distance), psychology (e.g., fear of pain, embarrassment, fear of the test revealing they had cancer), and healthcare providers (e.g., doctors' impolite manners, male doctors). Third, women were concerned about self-sampling incorrectly and pain, but believed HPV self-sampling to be a feasible screening tool in some circumstances (e.g., during the COVID-19 pandemic, those living in remote areas). Fourth, women related cervical cancer prevention to COVID-19 prevention;they believed strategies that have been successful for COVID-19 control in Vietnam could be applied to cervical cancer. No differences in themes emerged by rural/urban areas. Conclusions Southern Vietnamese women showed low awareness but high acceptance of cervical cancer screening despite barriers. Strategies for successful COVID-19 control in Vietnam, including campaigns to increase public awareness, advocacy from the government and doctors, and efforts to increase access to screening and vaccination, should be applied to cervical cancer control. Health education programs to address HPV self-sampling concerns and promote it as a cervical cancer screening tool are warranted given its potential to improve screening uptake in this low-resource setting.
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Danang city is known as the most attractive tourist city in Vietnam as well as in the world. Danang possesses rich and diverse natural resources, urban space facing the river, sea, alternating hilly areas creating an urban structure that is both the modern and the natural. In addition, Danang has won the Vietnam ICT Index award for 12 consecutive years because of its smart, modern, and effective digital technology system in linking and supporting tourism development with the neighboring localities. However, the outbreak of the Covid-19 pandemic had caused millions of deaths in the most countries worldwide since 2019. Leading to the economic activities, the trade in services, tourism, transportation, etc.. have all been seriously affected, even stopped working together for a long time. After that, the appearance of vaccines has partly controlled the epidemic situation. But people's living habits and views relating the tourism have changed significantly. Thus, the trend of 'green tourism country-slow tourism' is being strongly responded by tourists after the Covid-19 pandemic. This is explained that the tourists will travel in small groups, enjoy travel experiences close to nature, immerse themselves in the culture of indigenous people, and combine with local sports activities. Therefore, the authors propose a model of 'diffusion planning' to effectively solve the problems in 'Green tourism planning for Danang City after COVID-19, vision to 2050' to contribute to the orientation of sustainable tourism development in Danang city. © 2022 IEEE.
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In the context of increasing medical resource constraints and the global pandemic of COVID-19, the acquisition and automatic diagnosis of electrocardiogram (ECG) signal at home is becoming more and more important. In this paper, we propose a dual arrhythmia classification algorithm for edge-cloud collaboration. We first design a lightweight single-lead ECG signal binary classification model incorporating RR intervals that can be deployed at the edge, which achieves lightweight ECG feature extraction by using depthwise separable convolution and positional attention, and fuses RR interval features to the fully connected layer to achieve normal or abnormal classification of ECG heartbeats. For heartbeats classified as abnormal using the above model, we design a dual-branch arrhythmia multi-classification model with channel and spatial dual attention that integrates simple convolutional neural network (CNN) modules that can be deployed in a cloud artificial intelligence (AI) server to perform accurate classification of abnormal ECG heartbeats, where the input of one branch is a heartbeat signal and the input of the other branch is an ECG segment containing adjacent R-peaks. The experimental results based on the MIT-BIH arrhythmia database demonstrate that our binary classification model achieves an average accuracy of 99.80% and the multi-classification model achieves an average accuracy of 99.71%, and our method ensures a high enough accuracy while performing dual analysis to make the analysis results more reliable. © 2022 IEEE.
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Online shopping and shipping agent are more popular with the outbreak of the disease COVID-19. Logistics companies are constantly competing with each other on delivery speed and shipping costs to attract customers. The measurement and classification of parcels is a crucial step in the product supply chain, determining the shipping cost and the accuracy of product classification. The transportation of goods requires speed and correct delivery at low-cost service and safe to the product. In particular, the stage of packaging and shipping pricing takes much time. From receiving, packing, weighing, measuring, and checking the area to calculate the price, all items must go through such a step to ship elsewhere. The shipping cost may be affected by space volume rather than the actual weight. This paper presents the development of the controlling board for a smart weighing device that can measure both the weight and 3D box-boundary dimensions of the parcel. The smart device includes three ultrasonic sensors, a loadcell set connecting in the form of Wheatstone bridge, a barcode reader, a process data by a PIC microcontroller, and store data on the computer via UART/Ethernet protocol. The results of the several experiments for checking the stability and accuracy of each quantity measurement prove the reliability of the smart equipment. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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The novel coronavirus pneumonia sweeps the globe, causing a great impact on the whole human life. As the increase of the number of isolated infections at home, the new requirements of epidemic prevention for the functional design of residence have been put forward. Urban residential space has been analyzed from the perspective of epidemic prevention for the epidemic prevention problems in the paper to try to explore the new method of urban residential space design, which provides reference for the design of urban residential space under the guidance of epidemic prevention and control. © 2021 SPIE.
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Sitting in front of computers has become a major part of our workaday routines, challenging us in maintaining active and healthy lifestyles. This challenge becomes even more salient during this worldwide work-from-home period due to COVID-19. While a wide variety of existing interactive systems have been developed to facilitate health tracking and healthy exercises, relatively little research concerns incorporating healthy behaviors as HCI elements. To maximize pervasive health benefits in users' technology routines, this workshop sets out to explore a design paradigm that enables users to use lightweight, healthy behaviors to perform daily interactions with computing systems. To navigate this new design space, this workshop calls for interdisciplinary endeavors, synergizing expertise from HCI design, health informatics, persuasive technology, exertion game, and psychology. © 2020 Owner/Author.