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0-85.2%) in the protoplast-regenerated calli and plants with the heritable mutants recovered in the next generation. This RNP delivery approach was further extended to pennycress (Thlaspi arvense), soybean (Glycine max) and Setaria viridis with up to 70.2% mutagenesis frequency. Together, this study sheds light on the choice of RNP reagents to achieve efficient transgene-free genome editing in plants.Background At times, electronic medical records (EMRs) have proven to be less than optimal, causing longer hours behind computers, shorter time with patients, suboptimal patient safety, provider dissatisfaction, and physician burnout. These concerning healthcare issues can be positively affected by optimizing EMR usability, which in turn would lead to substantial benefits to healthcare professionals such as increased healthcare professional productivity, efficiency, quality, and accuracy. Documentation issues, such as non-standardization of physician note templates and tedious, time-consuming notes in our mother-baby unit (MBU), were discussed during meetings with stakeholders in the MBU and our hospital's EMR analysts. Objective The objective of this study was to assess physician note optimization on saving time for patient care and improving provider satisfaction. Methods This quality improvement pilot investigation was conducted in our MBU where four note templates were optimized History and Physical (H anh was 9373 infants; resulted in 2.6 hours saved per day, knowing that every infant averages two days length of stay. The new note templates required 69 fewer actions taken than the old ones (H and P 11, PN 8, DCS 18, HOL 32). The provider surveys were consistent with improved provider satisfaction. Conclusion Optimizing physician notes saved time for patient care and improved physician satisfaction.Rationale Given the expanding number of COVID-19 cases and the potential for new waves of infection, there is an urgent need for early prediction of the severity of the disease in intensive care unit (ICU) patients to optimize treatment strategies. Objectives Early prediction of mortality using machine learning based on typical laboratory results and clinical data registered on the day of ICU admission. Methods We retrospectively studied 797 patients diagnosed with COVID-19 in Iran and the United Kingdom (U.K.). To find parameters with the highest predictive values, Kolmogorov-Smirnov and Pearson chi-squared tests were used. Several machine learning algorithms, including Random Forest (RF), logistic regression, gradient boosting classifier, support vector machine classifier, and artificial neural network algorithms were utilized to build classification models. The impact of each marker on the RF model predictions was studied by implementing the local interpretable model-agnostic explanation technique (LIME-SPy triage decisions, this model can be a useful tool in COVID-19 ICU decision-making.Despite Latino Americans having been found to be disproportionally affected by COVID-19, they report higher hesitancy to receive the COVID-19 vaccine than non-Hispanic whites. The purpose of this study was to examine factors that influence Puerto Rican's intentions to get the COVID-19 Vaccine. A sample (n = 173) of people who currently lived in Puerto Rico were recruited to complete an online, cross-sectional survey about their intention to receive the COVID-19 vaccine. Demographics and vaccine hesitancy were assessed, and logistic regressions explored relationships between variables and intention to get the COVID-19 vaccine when it became available. When controlling for covariates, 30-49-year-olds (aOR = 0.12) and those who had refused a vaccine in the past (aOR = 0.07) had lower odds of vaccine uptake than those between 18 and 29 years and who had not previously refused a vaccine, respectively. Those who had completed at least a 4-year college degree (aOR = 6.78) had greater odds of intending to get vaccinated than their counterparts. Health education campaigns about COVID-19 in Puerto Rico should be tailored to working-age adults who may mistrust information they have heard about the vaccine. Messages could be tailored to preferred communication channels to decrease vaccination hesitancy.

Brazil is one of the countries worst affected by the COVID-19 pandemic with over 20 million cases and 557,000 deaths reported by August 2021. Comparison of real-time local COVID-19 data between areas is essential for understanding transmission, measuring the effects of interventions, and predicting the course of the epidemic, but are often challenging due to different population sizes and structures.

We describe the development of a new app for the real-time visualisation of COVID-19 data in Brazil at the municipality level. In the CLIC-Brazil app, daily updates of case and death data are downloaded, age standardised and used to estimate the effective reproduction number (

). We show how such platforms can perform real-time regression analyses to identify factors associated with the rate of initial spread and early reproduction number. We also use survival methods to predict the likelihood of occurrence of a new peak of COVID-19 incidence.

After an initial introduction in São Paulo and Rio de Janeiro artnership award (MR/S0195/1 and FAPESP 18/14389-0).The COVID-19 pandemic is having a major impact on the mental health of populations in the Americas. Studies show high rates of depression and anxiety, among other psychological symptoms, particularly among women, young people, those with pre-existing mental health conditions, health workers, and persons living in vulnerable conditions. Mental health systems and services have also been severely disrupted. A lack of financial and human resource investments in mental health services, limited implementation of the decentralized community-based care approach and policies to address the mental health gap prior to the pandemic, have all contributed to the current crisis. Countries must urgently strengthen their mental health responses to COVID-19 by taking actions to scale up mental health and psychosocial support services for all, reach marginalized and at-risk populations, and build back better mental health systems and services for the future. Editorial Disclaimer This translation in Spanish was submitted by the authors and we reproduce it as supplied. It has not been peer-reviewed. Our editorial processes have only been applied to the original abstract in English, which should serve as a reference for this manuscript. Disclaimer The Authors hold sole responsibility for the views expressed in this article, which may not necessarily reflect the opinion or policy of the Pan American Health Organization/World Health Organization.Background Lives of older adults have been greatly affected by the COVID-19 pandemic. Methods A telephone survey was conducted among the older adults aged 60 and above who lived in downtown Shanghai. We compared the lifestyle, mood, and disease management of older adults before and during the COVID-19 pandemic. Results One hundred and fifty-six older adults in Shanghai completed the survey. The proportions of older adults with adequate consumption of meat (49.4% vs. 53.1%, P = 0.0339) and eggs (73.7% vs. 77.6%, P = 0.0143) were significantly higher than before. Participants spent significantly more time on housework (median 2.0, IQR1.0-3.0 vs. median 2.0, IQR1.0-2.0 h/day; P = 0.0361) and leisure activities (median 7.0, IQR 5.0-8.6 vs. median 6.0, IQR 4.0-8.5 h/day; P less then 0.0001) during the pandemic than before. More participants developed new hobbies (27.6% vs. 36.5%, P = 0.0470) and learned new skills (5.1% vs. 19.9%, P less then 0.0001). However, the number of participants routinely self-testing blood glucose and/or blood pressure decreased from 77.6% before to 64.1% during the pandemic (P = 0.0002). Conclusions The COVID-19 pandemic affected the lifestyle, mood, and chronic diseases management among community-dwelling older adults. Supportive measures and interventions need to be tailored to older adults living in the community.

Acute thrombosis of an infrarenal abdominal aortic aneurysm (ATAAA) represents an uncommon but catastrophic pathology, which can lead to life threatening complications. This is a report of the infrequent use of an endovascular solution to successfully treat ATAAA in a patient with COVID-19 viral pneumonia and ischaemia induced lower extremity neurological deficits.

An 89 year old white male, with a history of cardiovascular comorbidities was admitted to the emergency room with dyspnoea associated with the sudden onset of abdominal and back pain followed by partial motor and sensory deficits in both legs. The CT scan showed both an 8 cm infrarenal AAA with middle (inferior mesenteric artery patent) and distal thrombotic occlusion of the sac and non-aneurysmal but thrombosed common iliac arteries. An additional finding was imaging features typical of interstitial pneumonia. After the molecular test detected active COVID-19 infection, the patient was treated as an emergency with an aorto-uni-iliac stent graft and femorofemoral crossover graft. The post-operative course was uneventful with AAA exclusion and disappearance of ischaemic symptoms. There were no vascular complications. At three month follow up the patient remained asymptomatic and was looking after himself.

This case supports the feasibility and safety of a minimally invasive endovascular procedure to treat ATAAA in selected patients with favourable anatomy and high risk of respiratory complications in the context of the COVID-19 pandemic.

This case supports the feasibility and safety of a minimally invasive endovascular procedure to treat ATAAA in selected patients with favourable anatomy and high risk of respiratory complications in the context of the COVID-19 pandemic.This study presents a survey analysis of the experiences of foreigners residing in Taiwan during the outbreak of the COVID-19 pandemic. Therein, we conducted interviews with 20 foreign residents of different nationalities in Taiwan. We shed light on participants' expectations and experiences of living in Taiwan during a pandemic. As for analysis, we inductively analyzed various essential parameters, such as identifying categories, themes, and outlines, mainly from the surveyed data associated with the interviews. In this course, five relevant themes have appeared, namely (I) Access to proper care (II) Living environment (III) Psychosocial effects, (IV) Workplace Environment, (V) Impact of borders closure. The study concludes that foreign residents' experiences during COVID-19 in Taiwan are admirable. The foreign residents feel comfortable, safe, and happy to stay and work in Taiwan because of the Taiwan government's policy towards successfully preventing community outbreaks.

COVID-19 transmission within overcrowded migrant worker dormitories is an ongoing global issue. Many countries have implemented extensive control measures to prevent the entire migrant worker population from becoming infected. Here, we explore case count outcomes when utilizing lockdown and testing under different testing measures and transmissibility settings.

We built a mathematical model which estimates transmission across 10 different blocks with 1000 individuals per block under different parameter combinations and testing conditions over the period of 1 month. We vary parameters including differences in block connectivity, underlying recovered proportions at the time of intervention, case importation rates and testing protocols using either PCR or rapid antigen testing.

We estimate that a relatively transmissible environment with fortnightly PCR testing at a relatively low initial recovered proportion of 40%, low connectivity where 10% of contacts occurred outside of the infected individuals' block and a high importation rate of







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per day, results in an average of 39 (95%Interval 9-121) new COVID-19 cases after one month of observation.