Bee AR Teacher Collaborative Learning Augmented Reality Framework

Collaborative learning is crucial to be applied in the field of education especially when teaching the students to achieve effective learning. Since the spread of COVID-19, home learning has now been widely implemented and learning methods are generally transformed from conservative ones that required face-to-face meetings to online (using an internet connection as a medium). Teachers have experienced difficulties because the interactions and collaboration that usually can be obtained in offline (face-to-face) sessions do not occur during online sessions. The use of Augmented Reality technology is believed to solve this problem. However, the current framework is quite difficult to be find and also rarely discusses collaborative learning topic. Researchers see a gap and try to bridge it by developing an Augmented Reality framework called Bee AR Teacher for collaborative learning. Bee AR Teacher collaborative learning framework is expected to be able to help developers or researchers to create Augmented Reality solutions that can help teachers create their own applications so it can be used by the students.Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

It is time for optimal distinctiveness: Corporate social responsibility engagement under dynamic competitive effects during the COVID-19 crisis

Firms tend to seek optimal distinctiveness when choosing CSR engagement timing. Building on the perspectives of optimal distinctiveness and competitive dynamics, this paper explains why firms' CSR engagement timing toward a certain event is affected by dynamic competitive effects. That is, to achieve optimal distinctiveness, focal firms pay more attention to their main competitors that are similar in market, size and resources. We apply a discrete-time survival analysis of 869 Chinese listed firms' CSR engagement action toward the COVID-19 pandemic during the first half of 2020. The results support the mechanism that when a highly similar competitor engages in CSR activities, it raises the probability that the focal firm engages itself beyond levels based solely on its own characteristics and common time-dependent factors. © 2022 John Wiley & Sons Ltd.

Risk factors for severe infection and mortality In patients with COVID-19 in patients with multiple myeloma and AL amyloidosis.

Patients with multiple myeloma (MM) have a lower efficacy from COVID-19 vaccination and a high rate of mortality from COVID-19 in hospitalized patients. However, the overall rate and severity of COVID-19 infection in all settings (including non-hospitalized patients) and the independent impact of plasma cell-directed therapies on outcomes needs further study. We reviewed the medical records of 9225 patients with MM or AL amyloidosis (AL) seen at Mayo Clinic Rochester, Arizona, and Florida between 12/01/2019 and 8/31/2021 and identified 187 patients with a COVID-19 infection (n = 174 MM, n = 13 AL). The infection rate in our cohort was relatively low at 2% but one-fourth of the COVID-19 infections were severe. Nineteen (10%) patients required intensive care unit (ICU) admission and 5 (3%) patients required mechanical ventilation. The mortality rate among hospitalized patients with COVID-19 was 22% (16/72 patients). Among patients that were fully vaccinated at the time of infection (n = 12), two (17%) developed severe COVID-19 infection, without any COVID-related death. On multivariable analysis, treatment with CD38 antibody within 6 months of COVID-19 infection [Risk ratio (RR) 3.6 (95% CI: 1.2, 10.5), p = .02], cardiac [RR 4.1 (95% CI: 1.3, 12.4), p = .014] or pulmonary comorbidities [RR 3.6 (95% CI 1.1, 11.6); p = .029] were independent predictors for ICU admission. Cardiac comorbidity [RR 2.6 (95% CI: 1.1, 6.5), p = .038] was an independent predictor of mortality whereas MM/AL in remission was associated with lower mortality [RR 0.4 (95% CI: 0.2-0.8); p = .008].

Systematic synthesis research on herbal medicine for COVID-19: An overview

Introduction: The number of review papers on coronavirus disease (COVID-19) related topics are on a sharp rise due to the abundance of new literature over the past two years. Objective(s): This review aimed to provide an overview of the attributes and quality of systematic synthesis research on COVID-19 pertaining to herbal medicine. Material(s) and Method(s): We performed a systematic search and screen on electronic databases to include articles of systematic synthesis research on herbal medicine for COVID-19. Information on review characteristics including review type, topic, and details of herbal interventions were extracted for descriptive and numerical analysis while quality of reviews was assessed using the A MeaSurement Tool to Assess systematic Reviews (AMSTAR-2) tool. Result(s) and Conclusion(s): Forty-eight reviews were included, half (n=23) were on Chinese Herbal Medicine while the remaining (n=25) were overall reviews on herbal medicine in general and phytoconstituents. Most were scoping reviews (n=23) and systematic reviews and/or meta-analyses (SR/MA) (n=21). All reviews address use of herbal medicine for acute phases of COVID-19. For AMSTAR-2 critical domains, only one third (n=15) had a protocol registered prior to commencement of the review while 21% (n=10) reported comprehensive literature search. When narrowed down to SR/MA, almost all (n=20) had an a priori protocol and 45% (n=9) reported comprehensive literature search. Risk of bias assessment was performed in almost all SR/MA while source of heterogeneity was not sufficiently addressed. The bulk of the evidence available on herbal medicine and COVID-19 are for its use during acute phases of COVID-19. Published SR/MA have lesser limitations than scoping reviews in critical domains of high-quality reviews but are highly concentrated on Chinese Herbal Medicine. This may be due to small number of clinical trials on other modalities of herbal medicine suitable to be pooled for SR/MA while there is no systematic synthesis research on post-COVID-19 complications, highlighting the research gaps.

A multidisciplinary effort to increase COVID-19 vaccination among the older adults

Background COVID-19 vaccination significantly reduces the risk of infection and its associated morbidity and mortality. However, poor uptake of the COVID-19 vaccination was reported among the high-risk group of older people amidst emerging variants of concern. This community case study reports an outreach program in Singapore, COVE (COVID-19 Vaccination for the Elderly) initiated by healthcare workers in a cluster of primary care clinics. They assessed the vaccine hesitancy among these older persons, addressed their concerns and facilitated their vaccination appointment during a brief phone conversation. Method Twenty one thousand six hundred and sixty three unvaccinated adults aged ≥60 years were contacted by healthcare worker volunteers over two phases from June to October 2021. In phase I, they contacted adults aged above 70 years over 2 weeks. Adults who were uncontactable in phase I and those aged 60–69 years were sent SMS in phase II. Data were analyzed via descriptive data analysis. Results After phase 1, 65.5% (n = 5,646/8,617) of older adults had received at least one dose of the COVID-19 vaccine. The respondents expressed intention to vaccinate (39%, n = 3,390), requested to seek further information (25%, n = 2,138), reported access barrier (8%, n = 715), or were concerned of the vaccine adverse effects (3%, n = 288). Vaccination was refused by 24% (n = 2,086) of the respondents. Eventually 60.4% (n = 13,082/21,663) of them were vaccinated 3 months after COVE implementation. Conclusion The COVE program increased the COVID-19 vaccination uptake of older adults from 84.6 to 96.3%. A person-centric proactive approach by healthcare workers addressed vaccine hesitancy and optimized vaccination. The outreach scheduling of vaccination appointments is key in promoting vaccination uptake among older adults.

Memorize COVID-19 Advertisement: Customer Neuroscience Data Collection Techniques by Using EEG and fMRI

Coronavirus Disease (COVID-19) confirmed cases in the world still occurred more than 1.5 years after the first cases outbreak in Wuhan, China. Education is a main key to deal with this pandemic. The information on how to prevent COVID-19 continues to be informed by direct approach and by using advertisements on television, radio, printed media, and on the internet are being provided to gain the awareness to the people. Consumer neuroscience is necessarily needed and important for understanding consumer behavior. This research paper proposed the techniques to collect the visual data of COVID-19 advertisements by using electroencephalogram (EEG) and Functional Magnetic Resonance Imaging (fMRI) to understand the brain activity. The results of this research can be useful to create a better COVID-19 advertisement that can attract people to memorize the health protocol. © 2021 IEEE.

Eye Tracking and Head Movement-Orientation Solution Design to Perceive People's Mind while Seeing COVID-19 Advertisements

Knowing what's on someone's mind might be challenging because only that person knows what's on their mind. COVID-19 advertisements are public service announcements, which raise public awareness of the issues occurred. A solution is needed to be able to find out what kind of advertisements attract someone to be memorized and to make COVID-19 advertisements even better. It is difficult to get the information in people's mind when they see the COVID-19 advertisement, a method and tools are needed to be able to mine the information which represent the human mind. We proposed the solution design based on Internet of Things (IoT) by using glasses to detect and record eye movements by using heat map. Accelerometer and gyroscope embedded in glasses are also needed to capture the head movement-orientation to perceive the gaze information to find out the pattern which COVID-19 advertisements can attract their attention to be memorized. © 2021 IEEE.

ITfResch: Customer Neuroscience Data Collection and Analysis IT Strategic Planning for Memorizing COVID-19 Advertisements

The Coronavirus Disease-2019 (COVID-19) outbreak is a global emergency, and this pandemic has been going on for more than a year. It is crucial to provide health information regarding how to prevent COVID-19 to the public to gain the health awareness. Conventional research in consumer behavior and marketing sees the human organism as a "black box"that cannot be assessed directly or physiologically. Consumer neuroscience has the significant benefit for the research to understand the consumer behavior. On the other hand, conducting the research can be similar like Information Technology (IT) project. It can lead to failure if not been conducted properly and do not have a proper guidance. This urgency encourages us to proposed Information Technology for Research (ITfResch) IT strategic planning for data collecting and analyzing of visual COVID-19 advertisements to minimize the risk of research failure. By using bioinformatics-neuroscience devices such as Electroencephalogram (EEG) and Functional Magnetic Resonance Imaging (fMRI) can help to understand the reaction of human brain while see the advertisement - which COVID-19 advertisement grabs the attention of people and gets them to memorize it. © 2021 IEEE.

Development and implementation of a system for the automated removal of parts produced by Fused Deposition Modeling

Additive manufacturing (AM) processes are characterized by a high degree of flexibility regarding the manufacture of complex geometries due to the tool-free layerwise build-up principle. A well-established AM method is Fused Deposition Modeling (FDM), in which the part is produced by melting thermoplastic material in an extrusion process. However, fully automated operation of FDM is not possible due to the usually manual removal of finished parts, which reduces the overall productivity of the process. To compensate for this disadvantage, the development and implementation of a system for automated part removal for FDM is presented in this paper. The system enables the removal of finished parts from the building platform and thus the start of new build-up processes without the need for human interaction or the removal of the entire building platform as described in existing approaches. By applying this system, the productivity of FDM could be increased significantly while also reducing the need for human presence in the context of COVID-19. © 2021 The Authors. Published by Elsevier B.V.

Pregnant women’s opinions on universal screening for COVID-19 during hospital admission: a cross-sectional survey

Introduction: The present study aimed to evaluate pregnant women’s opinions on universal screening for COVID-19 during hospital admission. Methods: Between 1 September 2020 and 24 November 2020 in the antenatal ward and labour ward of United Christian Hospital, a self-administrated questionnaire (in Chinese and English) on universal screening was distributed to all obstetric patients upon admission (or after delivery). Results: Of 600 questionnaires distributed, 520 (86.7%) were returned. Of these, 11 were excluded owing to missing answers and 509 were included in analysis. All respondents had negative results of COVID-19. 98.4% of the women agreed with universal screening for all obstetric patients on admission. 69.0%, 73.9%, and 72.1% of women considered that a negative COVID-19 result would have a positive effect on their own care, their baby’s care, and their family, respectively, with 82.1% feeling more ready to breastfeed and 84.9% feeling more at ease to look after their babies after delivery. 97.2% thought that all staff in the obstetric ward should have COVID-19 screening. A logistic regression model showed that women with tertiary education or above (odds ratio [OR]=2.361, p<0.001) and with emergency admission (rather than elective admission) [OR=1.686, p=0.018] were more likely to believe that a negative screening result would have positive effects on her care, whereas women with tertiary education or above (OR=3.615, p<0.001) were more likely to believe that a negative result would have a positive impact on their baby’s care. Conclusion: Universal screening for COVID-19 on admission is well supported by obstetric patients.

A qualitative study on the cognition of the first group of nurses to protect against instrumentrelated stress injury in the novel coronavirus pneumonia

Objective To explore the protective cognition of the first batch of nurses against novel coronavirus pneumonia on apparatus-related stress injury, so as to provide reference for formulating and implementing relevant training and improving management measures. Methods Using the phenomenological method of qualitative research, from January 20, 2020 to February 17, 2020, a half structured in-depth interview was conducted among the echelon nurses who completed the first batch of nurses against novel coronavirus pneumonia on apparatus-related stress injury. A total of 13 nurses in isolation wards were interviewed for the study. Results Using the method of Colaizzi phenomenology to analyze the interview data, the related knowledge cognition was low, the identification of risk factors was limited, the risk assessment was not carried out, the treatment measures were not timely, the awareness of protection was lacking, the management training was not perfect, and the medical protection materials were not enough. Conclusion The first batch of nurses to fight against novel coronavirus pneumonia had a low awareness of the prevention of medical device- related stress injury. Hospital managers should strengthen the training of related knowledge, improve management strategies, enhance the awareness of protection, and identify risk factors early, take preventive measures to ensure the safety and health of front-line medical staff in a timely manner. © 2021 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.