POST-MORTEM MRI to INVESTIGATE PERINATAL LOSS at COUNTIES MANUKAU HEALTH, AUCKLAND, NEW ZEALAND

Background: Magnetic Resonance Imaging (MRI) may be useful as an alternative to perinatal post-mortem autopsy. Our service has high rates of perinatal loss, and low rates of post-mortem autopsy. We have offered post-mortem MRI for the last 5 years, however how MRI is currently being used, have not been reviewed. Aim(s): To describe: (i) the number of perinatal post-mortem MRIs performed, (ii) the reasons for offering MRI, (iii) whether the MRI was contributory to diagnosing cause of perinatal loss or adding extra information. Method(s): Cases were identified crosschecking perinatal loss and radiology data from 2010 to 2021. Anonymised summaries of clinical notes and investigation results of all cases were reviewed by two multidisciplinary groups, each of whom had MRI reports for half of the cases. Congruency of final classification of cause of death was compared and groups reported for each case whether MRI provided new information. Result(s): Between 2018 and 2021 there were 426 perinatal losses, of which 17 were investigated with MRI. In all cases MRI was offered after parents declined autopsy and was performed in addition to other investigations (maternal blood tests, placental karyotype, and histology). MRI changed the final PDC code in 1 case, provided additional findings in 2 cases, confirmed antenatally diagnosed anomalies in 4 cases and was non-contributory to diagnosing cause of death in 11/17 cases. Conclusion(s): In our service, post-mortem MRI has been used infrequently as part of the investigations into perinatal loss. When used, it has been most useful in confirming presence of structural anomalies diagnosed antenatally. Conclusion(s): High COVID-19 community prevalence was associated with increased MROP numbers at our clinical site, but inferences are limited by a lack of standardisation of operative reporting.

Long-Term Efficacy and Safety of Zanubrutinib in Patients with Relapsed/Refractory (R/R) Marginal Zone Lymphoma (MZL): Final Analysis of the Magnolia (BGB-3111-214) Trial

Introduction: Advanced MZL is generally incurable, with periods of remission and relapse. Zanubrutinib (BGB-3111), a potent and highly specific next-generation Bruton tyrosine kinase (BTK) inhibitor, was approved in the US and Canada for R/R MZL based on the MAGNOLIA primary analysis (BGB- 3111-214;NCT03846427);here, the final MAGNOLIA analysis is presented. Method(s): This was a phase 2, multicenter, single-arm study of adult patients (pts) with R/R MZL (>=1 prior CD20-directed therapy). Zanubrutinib (160 mg twice daily) was given until disease progression or unacceptable toxicity. The primary endpoint was overall response rate (ORR) by independent review committee (IRC) per Lugano classification. Secondary endpoints were investigator-assessed ORR, duration of response (DOR), progression-free survival (PFS), overall survival (OS), and safety. Efficacy was assessed by positron emission tomography (PET)-based Lugano criteria for IRC-confirmed fluorodeoxyglucose (FDG)-avid disease at baseline;non-avid disease was assessed by computed tomography (CT)-based criteria. Result(s): As of May 4, 2022, 68 pts were treated (median age=70 y [range 37-95];>=75 y=27.9%). MZL subtypes included extranodal (38.2%), nodal (38.2%), splenic (17.6%), and unknown (5.9%). The median number of prior therapies was 2 (range 1-6);32.4% of pts had disease refractory to last therapy, most (89.7%) had prior chemoimmunotherapy, and 7 (10.3%) had rituximab monotherapy as their only prior treatment. Sixty-one pts (89.7%) had FDG-avid disease. After a median follow-up of 28.0 mos (range 1.6-32.9) and a median treatment duration of 24.2 mos (range 0.9-32.9), 66 pts were efficacy- evaluable. IRC-assessed ORR (complete response [CR]+partial response [PR]) was 68.2% (CR=25.8%). By subtype, (Figure Presented)(Figure Presented)ORR/CR rates were 64.0%/40.0% (extranodal), 76.0%/20.0% (nodal), 66.7%/8.3% (splenic), and 50.0%/25.0% (unknown). Median DOR, PFS, and OS were not reached. Over 70.0% of pts were alive or progression-free after 2 years (Figure). Sensitivity analysis using only CT-based criteria (n=66) showed an ORR of 66.7% and CR of 24.2%. The most common treatment-emergent AEs were bruising (23.5%), diarrhea (22.1%), and constipation (17.6%). Neutropenia (8.8%) and COVID-19 pneumonia (5.9%) were the most common Grade >=3 AEs. Five pts (7.4%) died due to unrelated AEs: COVID-19 pneumonia=2, acute myeloid leukemia=1, myocardial infarction=1, septic encephalopathy=1. Hypertension occurred in 3 pts (4.4%), atrial fibrillation and atrial flutter in 1 pt (1.5%) each;none led to treatment withdrawal. One pt (1.5%) had a Grade 3 gastrointestinal hemorrhage while receiving rivaroxaban. None of the pts required dose reduction. Conclusion(s): In this final analysis with over 2 years of median follow-up, zanubrutinib continues to demonstrate durable disease control and was generally well tolerated, with no new safety signals observedCopyright © 2023 American Society for Transplantation and Cellular Therapy

Health, Concerns, and Finance: News Framing of Wearing Masks in China From 2001 to 2020

Since the COVID-19 outbreaks, masks have become one of the most controversial topics throughout the world. However, the pro-mask atmosphere seems to be formed smoothly in China, at least in the beginning and peak of epidemic. To understand the social construction of masks in China, this study examines the media framing of masks from 2001 to 2020 in two important newspapers, the People's Daily and the Southern Metropolis Daily. We found that pro-mask discourse portrayed wearing masks first as an emergent and undesired health strategy;later, as an inevitable measure against constant crises;and lastly, part of the new normality. The legalization of wearing masks lies in the severity of a certain health crisis, the effectiveness that masks can protect citizens from such crisis, a comparatively low cost that to exchange for normal lives under a crisis, and the fact that it could overall benefit China's national image and interests. Moreover, masks have been constructed as a financially promising business and a trendy fashion, which further justifies their existence. The counterdiscourses against masks appeared when the conditions that justified masks were questioned. © 2023 (Zhifei Mao, Huaxin Peng, Di Wang, Mengfan He, and Kun Zhou). Licensed under the Creative Commons Attribution Non-commercial No Derivatives (by-nc-nd). Available at http://ijoc.org.

The Effect of COVID-19 on Tourism Affection: A Pleasure-Arousal-Dominance Framework Perspective

Based on the data of COVID-19 epidemic and online tourism review, this paper explores the impact of COVID-19 on tourists' tourism emotion. First, based on the existing theory, the hypothetical relationship between COVID-19 and tourists' PAD (Pleasure-Around-Dominion) emotion is established. Then, the PAD emotion variables in tourism reviews are extracted through the emotion analysis method, and then an empirical econometric model is established. Finally, the model is estimated using the double difference method, and a series of robustness tests are conducted. The empirical results show that COVID-19 has a significant negative impact on tourists' PAD sentiment. © 2022 IEEE.

Design of epidemic detection system in railway station based on FPGA

Since the outbreak of COVID-19 in 2020, wearing masks and displaying green codes in and out of public places has become a habit. The identity verification of the existing railway station is mainly based on face recognition. Due to the outbreak and persistence of the epidemic, people often need to call out the green code on their mobile phones for staff verification, which takes a lot of time. At the same time, the existing face recognition equipment requires the inbound personnel to take off their masks, which also increases the infection risk of the inbound personnel. In order to reduce the above infection risk and speed up people's entry and exit speed, we have designed a system that can identify people wearing masks and judge whether they are confirmed or suspected cases at the same time. Firstly, the system measures the passenger's body temperature through the infrared temperature measurement module, carries out face detection and recognition at the same time, and queries the recognition results in the database to judge whether the passenger is diagnosed or in close contact. When the passenger is normal, it is allowed to pass, otherwise it is not allowed to pass, and updates the relevant data in the cloud database. The system uses Yolo algorithm as the face detection algorithm, and then carries out face recognition through FaceNet network, so as to judge its identity and query the relevant information of the person in the cloud database. After testing, the iterative loss rate of the system is basically below 0.1 and the accuracy is basically stable above 99%. Considering that we need to use it on embedded devices and the amount of calculation operation of deep learning algorithm is large, and FPGA can well build circuits according to the needs of the model because of its reconfigurability, and FPGA can realize hardware acceleration because it can run in parallel, so we finally choose to deploy the model to FPGA to complete face recognition. © 2022 IEEE.

ZANUBRUTINIB IN OLDER PATIENTS (PTS) WITH RELAPSED/REFRACTORY (R/R) MARGINAL ZONE LYMPHOMA (MZL): SUBGROUP ANALYSIS OF THE MAGNOLIA STUDY

Background: MZL is the second most common lymphoma in older pts. Choosing an optimal treatment can be challenging because of patient-or disease-related risk factors and treatment-related toxicities (Curr Opin Oncol. 2019;31(5):386-393). Zanubrutinib is a potent, irreversible next-generation Bruton tyrosine kinase (BTK) inhibitor designed to maximize BTK occupancy and minimize off-target kinase inhibition, which may improve efficacy outcomes and minimize toxicities, such as cardiac arrythmias and bleeding events. Zanubrutinib received accelerated approval from the United States FDA for the treatment of pts with R/R MZL (Haematologica . 2022;107(1):35-43). Aims: We aim to present a subgroup analysis of efficacy and safety of zanubrutinib in pts aged ≥65 years with R/R MZL enrolled in MAGNOLIA (BGB-3111-214;NCT03846427). Methods: MAGNOLIA is a phase 2, multicenter, single-arm study of adults with R/R MZL who had received ≥1 line of therapy including ≥1 CD20-directed regimen. All were treated with zanubrutinib 160 mg twice daily until disease progression or unacceptable toxicity. Use of long-term antiplatelet and anticoagulation agents was permitted. The primary endpoint was overall response rate (ORR;complete response [CR] and partial response [PR]) determined by an independent review committee (IRC) in accordance with the Lugano classification. Secondary endpoints include ORR by investigator assessment (INV), duration of response (DOR), progression-free survival (PFS), and safety. All pts gave informed consent. Results: As of 18 January 2021, a total of 68 pts were enrolled (Table). Forty (61%) pts were ≥65 years old with a median age of 73 (range, 65-85);18 pts were ≥75 years old. Median number of prior therapies was 2 (range, 1-6) and 10 (25%) pts were refractory to last therapy. Most pts received prior rituximab + cyclophosphamide + vincristine + prednisone (48%) or bendamustine + rituximab (30%), while 5 (13%) pts received rituximab monotherapy. MZL subtypes included extranodal (n=17, 43%), nodal (n=14, 35%), and splenic (n=8, 20%). Median duration of treatment was 14.4 months (mo;range, 0.9-19.6). At a median follow-up of 15.8 mo (range, 2.8-21.8), ORR by IRC was 75% (CR 25%, PR 50%;Table). Responses were observed in all subtypes, with an ORR of 71%, 86%, and 75% in extranodal, nodal, and splenic subtypes, respectively (CR 41%, 21%, and 0%, respectively). Median DOR and PFS were not reached;15-month PFS was 87% and 12-month DOR was 93%. Most (63%) pts are continuing zanubrutinib. Treatment discontinuation due to disease progression was 28% by INV. Most common treatmentemergent adverse events (AEs) observed in ≥20% of pts include contusion (28%), diarrhea (25%), and constipation (20%). Grade ≥3 neutropenia occurred in 5% of pts. The most common infection was upper respiratory tract infection (10%). Two (5%) pts discontinued zanubrutinib due to unrelated fatal AEs (COVID-19 pneumonia and myocardial infarction in a patient with pre-existing coronary artery disease). Atrial fibrillation/flutter and hypertension occurred in 2 (5%) pts each and did not lead to treatment discontinuation. No pts required dose reductions, or experienced major or serious hemorrhage. Image: Summary/Conclusion: The safety profile of zanubrutinib observed in older pts was consistent with previously published results (Clin Cancer Res . 2021;27(23):6323-6332). Zanubrutinib was well tolerated and effective, as demonstrated by a high response rate and durable disease control in older pts with R/R MZL.

Brewing, Analysis and Evaluation of Traditional Chinese Rice Wine: An At-Home Interdisciplinary Practical Project during COVID-19 Pandemic Lockdown

Under the threat of the COVID-19 pandemic, an interdisciplinary project about the brewing and analysis of traditional Chinese rice wine was performed at home by junior students of the chemistry major at Huanggang Normal University under the remote guidance of teachers during the spring lockdown semester of 2020. Students were exposed to the concepts of yeast metabolism, analytical testing, and sensory evaluation in terms of real project study and completed a series of hands-on activities at home using readily available materials, utensils, and self-made devices. In the spring semester of 2021, experiments were conducted in the general lab with other students in the same program to compare the results of the two groups of students. The results were that the "home" results were credible, the students were trained not only in laboratory skills but also in analytical and communication skills, and, significantly, the majority of students enjoyed the content and activities. This paper illustrates an effective experimental design procedure that can be conducted at home or in the laboratory in response to uncertain changes, such as a pandemic lockdown.

Exploring the impact of COVID-19 on travel behavior based on EV charging big data

The COVID-19 pandemic has forced many governments around the world to implement strict lockdown measures and order citizens to stay at home, which has caused a major change in travel patterns. This study leveraged electric vehicle charging big data in Hefei, Anhui Province, China to estimate electric vehicle charging demand in the absence of the COVID-19 pandemic using multi-layer perceptron model, which quantified the impact of the COVID-19 pandemic. In addition, we employed the vector autoregressive model to investigate the dynamic relationships between the changes in charging demand and various explanatory factors. The results suggest that the daily average charging demand in Hefei decreased by 78.3% compared to the predicted value during the pandemic. Furthermore, according to the variance decomposition and impulse response function analysis, national confirmed COVID-19 cases play a dominant role in reducing charging demand. The number of daily hospitalizations and Migration Scale Index also have significant and robust effect on the decrease in charging demand. The Air Quality Index and Baidu Index are susceptible to external factors and do not have a direct impact on the change in charging demand. Findings support a better understanding of changes in travel behavior during the pandemic and provide policy makers with references to deal with similar events. © 2021 IEEE

Predicting Meeting Success With Nuanced Emotions

While current meeting tools are able to capture key analytics (e.g., transcript and summarization), they do not often capture nuanced emotions (e.g., disappointment and feeling impressed). Given the high number of meetings that were held online during the COVID-19 pandemic, we had an unprecedented opportunity to record extensive meeting data with a newly developed meeting companion application. We analyzed 72 h of conversations from 85 real-world virtual meetings and 256 self-reported meeting success scores. We did so by developing a deep-learning framework that can extract 32 nuanced emotions from meeting transcripts, and by then testing a variety of models predicting meeting success from the extracted emotions. We found that rare emotions (e.g., disappointment and excitement) were generally more predictive of success than more common emotions. This demonstrates the importance of quantifying nuanced emotions to further improve productivity analytics, and, in the long term, employee well-being. IEEE

Thermally Activated Charge Transfer in Dual-Emission Mn2+-Alloyed Perovskite Quantum Wells for Luminescent Thermometers

Owing to the pandemic of Coronavirus disease 2019 (COVID-19), the demands on ultracold-chain logistics have rapidly increased for the storage and transport of mRNA vaccines. Herein, we report a soluble luminescent thermometer based on thermally activated dual-emissions of Mn2+-alloyed 2D perovskite quantum wells (QWs). Owing to the Mn2+ alloying, the binding energy of perovskite QW exciton is reduced from 291 to 100 meV. It facilitates the dissociation of excitons into free charge carriers, which are then transferred and trapped on Mn2+. The temperature-dependent charge transfer efficiency can be tuned from 8.8% (-93 °C) to 30.6% (25 °C), leading to continuous ratiometrical modulation from exciton-dominated violet emission to Mn2+-dominated orange emission. The highest sensitivity (1.44% per K) is approximately twice that of the Mn2+-doped chalcogenide quantum dots. Taking advantage of highly reversible color switching, Mn2+-alloyed QWs provide an economical solution to monitor the ultracold-chain logistics of the COVID-19 vaccine. © 2022 American Chemical Society.

Moving Average Method on Big Data in Intercity Transportation in the Post-COVID-19 Era

In 2020, the outbreak of COVID-19 pneumonia has had a great impact on China's economic and social life. The construction and transportation industries have been greatly impacted and suffered from its high mobility. This paper studies the big data of migration between Xi'an and Chengdu from January 1, 2020 to March 15, 2020 and divides the epidemic situation into four stages according to the introduction of the elastic coefficient according to the development of the epidemic situation. In each stage, the elastic coefficient of index change is introduced in combination with the decreasing impact of epidemic prevention and control measures on transportation. Finally, a modified moving average method is formed, which is compared with the ordinary moving average method. The results show that the modified moving average method combined with Hadoop big data platform can improve the accuracy and efficiency of the intercity transportation flow prediction under the epidemic situation. © 2021 CICTP 2021: Advanced Transportation, Enhanced Connection - Proceedings of the 21st COTA International Conference of Transportation Professionals. All rights reserved.

An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images

Automatic segmentation of lung lesions from COVID-19 computed tomography (CT) images can help to establish a quantitative model for diagnosis and treatment. For this reason, this article provides a new segmentation method to meet the needs of CT images processing under COVID-19 epidemic. The main steps are as follows: First, the proposed region of interest extraction implements patch mechanism strategy to satisfy the applicability of 3-D network and remove irrelevant background. Second, 3-D network is established to extract spatial features, where 3-D attention model promotes network to enhance target area. Then, to improve the convergence of network, a combination loss function is introduced to lead gradient optimization and training direction. Finally, data augmentation and conditional random field are applied to realize data resampling and binary segmentation. This method was assessed with some comparative experiment. By comparison, the proposed method reached the highest performance. Therefore, it has potential clinical applications.

Who Are the Front-Runners? Unravelling Local Government Responses to Containing the COVID-19 Pandemic in China

When COVID-19 broke out, local governments in China were expected to deal with the pandemic efficiently and effectively due to their rich experience in tackling the SARS in 2003. However, provincial governments have taken divergent measures in the fight against COVID-19. This research note disentangles the differences and similarities in virus containment policies based on a five-dimensional framework, namely starting early preparation, activation of first-level response, disclosure of epidemic information, resumption of work and production, and utilization of digital tools. Our analysis demonstrates that the government responses are uneven and that there are indeed front-runners in handling the COVID-19 pandemic. Building upon exiting theories on local government behaviors, we suggest that "conformity tendency" in policy diffusion might be helpful to explain the varied responses. During public emergencies, while any provincial government can take the initiative in a particular policy dimension, others need to quickly handle peer pressure or take the political risk of being left behind. Gradually, local governments tend to accept and adopt similar responses and strategies in the national epidemic.

Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature

Biomedical named entity recognition (BioNER) is a fundamental step for mining COVID-19 literature. Existing BioNER datasets cover a few common coarse-grained entity types (e.g., genes, chemicals, and diseases), which cannot be used to recognize highly domain-specific entity types (e.g., animal models of diseases) or emerging ones (e.g., coronaviruses) for COVID-19 studies. We present CORD-NER, a fine-grained named entity recognized dataset of COVID-19 literature (up until May 19, 2020). CORD-NER contains over 12 million sentences annotated via distant supervision. Also included in CORD-NER are 2,000 manually-curated sentences as a test set for performance evaluation. CORD-NER covers 75 fine-grained entity types. In addition to the common biomedical entity types, it covers new entity types specifically related to COVID-19 studies, such as coronaviruses, viral proteins, evolution, and immune responses. The dictionaries of these fine-grained entity types are collected from existing knowledge bases and human-input seed sets. We further present DISTNER, a distantly supervised NER model that relies on a massive unlabeled corpus and a collection of dictionaries to annotate the COVID-19 corpus. DISTNER provides a benchmark performance on the CORD-NER test set for future research. © 2020 IEEE.

Remdesivir as a broad-spectrum antiviral drug against COVID-19.

OBJECTIVE: List the clinical data of the role of remdesivir in COVID-19, and try to make an objective evaluation and analyze its feasibility. MATERIALS AND METHODS: The keywords of "remdesivir", "COVID-19" and "SARS-CoV-2" were systematically searched in PubMed and Web of Science. After removing the repetitions, we summarize articles, letters, and comments on remdesivir in the treatment of COVID-19. RESULTS: In this review, we summarize clinical case of using remdesivir in the treatment of COVID-19, analyzed the final treatment results, and judged whether the drug was effective for the treatment of COVID-19. Also, attention was paid to the side effects of the drug. CONCLUSIONS: According to the clinical results, it was found that remdesivir was effective in the treatment of COVID-19. The drug has side effects, but the symptoms were mild and disappeared immediately after discontinuation of medication.

Epidemiological and clinical characteristics of patients with COVID-19 from a designated hospital in Hangzhou City: a retrospective observational study.

INTRODUCTION: The outbreak of coronavirus disease 2019 (COVID-19) has exerted a heavy burden on public health worldwide. We aimed to investigate the epidemiological and clinical characteristics of patients with COVID-19 in a designated hospital in Hangzhou, China. METHODS: This was a retrospective study that included laboratory-confirmed cases of COVID-19 in XiXi Hospital of Hangzhou from 15 January 2020 to 30 March 2020. We reviewed and analysed the epidemiological, demographic, clinical, radiological, and laboratory features involving these cases. Age-tratification analysis was also implemented. RESULTS: We analysed 96 confirmed cases. The patients had a mean age of 43 years, with six patients younger than 18 years and 14 patients older than 60 years. No significant gender difference was discovered. Co-morbidities were commonly observed in patients aged over 40 years. Twenty eight of the patients had travelled from Wuhan City, and 51 patients were infected through close contact. Familial clusters accounted for 48 of the cases. The mean incubation time was 7 days, and the symptoms were mainly fever, cough, fatigue, and sore throat. Lymphocytopenia was observed predominantly in patients aged over 60 years. Fifty five patients presented with bilateral pulmonary lesions. The radiological changes were typically distributed in the subpleural area, and pleural effusion rarely occurred. All patients were discharged successfully. CONCLUSION: During the early stage of the COVID-19 outbreak, half of the patients from a designated hospital in Hangzhou City were discovered as familial clusters. Therefore, strict prevention and control measures during self-isolation should be implemented. Patients aged over 60 years who had underlying co-morbidities were prone to lymphocytopenia and severe infection.

[Quick community survey on the impact of COVID-19 outbreak for the healthcare of people living with HIV].

Objective: To collect the current status and healthcare needs of people living with HIV (PLHIV) in China during the COVID-19 outbreak to inform quick response from government and communities. Methods: During February 5(th) to 10(th), 2020, a national anonymous survey was conducted using an online questionnaire among PLHIV at least 18 years of age and had started antiretroviral treatment (ART) to collect the information on COVID-19 prevention, HIV-related health services and the needs on psychosocial support. Current status and needs of people living with HIV were analyzed in Hubei and other regions. Results: A total of 1 014 valid questionnaires were collected, with PLHIV respondents cross the country. The survey revealed that 93.79% of the respondents could obtain information regarding the prevention of COVID-19 from their communities or villages. Respondents were concerned with HIV-specific protective measures and personal protective equipment shortage. 32.64% of all respondents were not carrying sufficient antiretroviral medicines (ARVs) to meet the needs under traffic and travel restrictions, and some could face stock-outs in the coming month. In Hubei province where 53 respondents needed ARV refill, 64.15% reported difficulty accessing ARV due to the "blockage" . 28.93% respondents were in need of sociopsychological support, and 85.31% anticipated further improvement of the out-of-town ARV refill process from the government. Conclusion: PLHIV wants to know HIV-specific protective measures against COVID-19 outbreak. PLHIV who returned to their home-towns and affected by the lock-downs reported challenges with refills. We should undertake a more systematic study on impacts of the COVID-19 on PLHIV to develop preparedness capacity for future public health emergency.