scholarly journals 新型コロナウイルス感染症のヘルスリテラシーの違いによる対象者セグメンテーション

2021 ◽  
Author(s):  
Kei Hirai ◽  
Asayo Yamamura ◽  
Mai Kato ◽  
Mao Yagihashi ◽  
Asako Miura

The purpose of this study is to identify the types of the risk communication for COVID-19. We conducted the cross-sectional questionnaire survey, for 6,000 people (male = 3000, female = 3000, M = 49.41±16.59), regarded as health literacy. In the result, it is revealed there were 6 segments: "majority/social defense" in which people had the most common beliefs and thought PCR testing is necessary for all, "self-judgment/self-protection" that was highly literate, "threat denying" that completely denied threats and prevention of infection, "hoax affinity/optimism" that took in information without discernment, "vigilance/self-protection," in which people felt threatened by infection but thought that PCR testing was unnecessary, and "hyper vigilance/social defense," in which people protected others if there was even a small risk.

2021 ◽  
Author(s):  
Kei Hirai ◽  
Asayo Yamamura ◽  
Mai Kato ◽  
Mao Yagihashi ◽  
Asako Miura

In our previous study Survey 1, we found infection prevention behaviors were characterized by health literacy and found to be divided into six segments: "majority/social defense”, “self-judgment/self-protection”, "threat denying”, "hoax affinity/optimism," "vigilance/self-protection”, and "hyper-vigilance/social defense”.The purpose of this study is to examine the real-life influences and behaviors of different types of health literacy. The 3,800 respondents to Survey 2 were asked to answer again, and the 3,000 who responded were targeting in the study.In the result, we found that "majority/social defense" and "hyper-vigilance/social defense" were lowered in their visits to the hospital for the purpose of prevention and visitation. In addition, the intention to vaccinate was lower for "hoax affinity/optimism" and "Threat denial”. Furthermore, "Threat denial" was the highest that respondents thought vaccines were unnecessary.This study revealed there were two potential high-risk factors in the life under infectious disaster. In the first, it is suggested that early detection of serious diseases may be delayed, resulting in a higher health risk than having an infectious disease. In the second, it is suggested that "hoax affinity/optimism" and "threat-denying" segments may be less likely to be vaccinated, and it is considered the segments needed the highly supports when infection prevention measures would be promoted.


2021 ◽  
Author(s):  
Kei Hirai ◽  
Asayo Yamamura ◽  
Mai Kato ◽  
Mao Yagihashi ◽  
Asako Miura

In our previous study Survey 1, we found infection prevention behaviors were characterized by health literacy and found to be divided into six segments: "majority/social defense”, “self-judgment/self-protection”, "threat denying”, "hoax affinity/optimism," "vigilance/self-protection”, and "hyper-vigilance/social defense”.The purpose of this study is to confirm the validity of segmentation by health literacy and to examine its relationship with risk-taking behavior and infection prevention behavior.The 6,000 respondents to Survey 1 were asked to answer again, and the 3,800 who responded were targeting in the study.In the results, we found that the fear of infectious diseases and the cognitive bias to believe that they will not be infected led to a regression to each segment, with significant differences between the segments. Significant differences in risk-taking and infection prevention behaviors were also found among the segments. In addition, there was no significant difference in the use of the “ Go to campaign “ among the segments.In risk-taking behavior, "self-judgment and self-protection" is considered to be a risk-taking behavior if the risk of infection is judged to be low based on accurate information obtained by the individual. Threat denial" has the lowest level of infection prevention behavior and is considered to take high-risk behaviors without hesitation. Over-vigilance and social defense" is considered to be a preventive behavior instead of risk-taking behavior due to over-vigilance against infection. In the “Go to campaign” , even if the respondents were highly susceptible to infection and felt threatened by infectious diseases, and even if they had no cognitive bias against infectious diseases, they would use this campaign.


Author(s):  
J.-F. Revol ◽  
Y. Van Daele ◽  
F. Gaill

The only form of cellulose which could unequivocally be ascribed to the animal kingdom is the tunicin that occurs in the tests of the tunicates. Recently, high-resolution solid-state l3C NMR revealed that tunicin belongs to the Iβ form of cellulose as opposed to the Iα form found in Valonia and bacterial celluloses. The high perfection of the tunicin crystallites led us to study its crosssectional shape and to compare it with the shape of those in Valonia ventricosa (V.v.), the goal being to relate the cross-section of cellulose crystallites with the two allomorphs Iα and Iβ.In the present work the source of tunicin was the test of the ascidian Halocvnthia papillosa (H.p.). Diffraction contrast imaging in the bright field mode was applied on ultrathin sections of the V.v. cell wall and H.p. test with cellulose crystallites perpendicular to the plane of the sections. The electron microscope, a Philips 400T, was operated at 120 kV in a low intensity beam condition.


1960 ◽  
Vol 19 (3) ◽  
pp. 803-809
Author(s):  
D. J. Matthews ◽  
R. A. Merkel ◽  
J. D. Wheat ◽  
R. F. Cox

2018 ◽  
Author(s):  
Sang Hoon Lee ◽  
Jeff Blackwood ◽  
Stacey Stone ◽  
Michael Schmidt ◽  
Mark Williamson ◽  
...  

Abstract The cross-sectional and planar analysis of current generation 3D device structures can be analyzed using a single Focused Ion Beam (FIB) mill. This is achieved using a diagonal milling technique that exposes a multilayer planar surface as well as the cross-section. this provides image data allowing for an efficient method to monitor the fabrication process and find device design errors. This process saves tremendous sample-to-data time, decreasing it from days to hours while still providing precise defect and structure data.


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