We propose a new nonlinear point-coupling parameterized interaction, PC-L3, for the relativistic Hartree-Bogoliubov framework with a separable pairing force by fitting to observables of 65 selected spherical nuclei, including the binding energies and charge radii. Overall, from comparing with the experimental data, the implementation of PC-L3 in relativistic Hartree-Bogoliubov successfully yields the lowest root-mean-square deviation, 1.251 MeV, among currently and commonly used point-coupling interactions. Meanwhile, PC-L3 is capable of estimating the saturation properties of the symmetric nuclear matter and bulk properties of the finite nuclei and of appropriately predicting the isospin and mass dependence of binding energy, e.g., the isotopes of $Z$=20, 50, and 82, and isotones of $N$=20, 50, and 82. The comparison of the estimated binding energies for $\sim$5500 neutron-rich nuclei based on PC-L3 and other point-coupling interactions is also presented.

BACKGROUND: Obesity is associated with an increased risk of development and recurrence of colorectal cancer. The role of obesity in metastatic colorectal cancer patients (pts) is still unclear, especially in those treated with triplet plus bevacizumab (bev). The aim of our study was to evaluate the prognostic and predictive role of BMI in metastatic colorectal cancer pts treated with FOLFOXIRI plus bev or FOLFIRI/FOLFOX plus bev in the TRIBE and TRIBE-2 trial. MATERIALS AND METHODS: A total of 1160 pts enrolled in TRIBE and TRIBE-2 trials were included. Baseline height and weight were used to assign pts to one of the following BMI categories: underweight (group A = BMI <18.5 kg/m2; 52 pts), normal (group B = BMI 18.5-29.9 kg/m2; 952 pts) and obese (group C > 30 kg/m2; 156 pts). RESULTS: In our population, no differences in terms of PFS (P = .43) or OS (P = .99) resulted between 3 groups. No interaction effect between treatment arm and BMI was evident in terms of PFS (Group A HR: 0.65 [95%CI: 0.36-1.16]; Group B HR: 0.77 [95%CI: 0.67-0.88]; Group C HR: 0.67 [95%CI: 0.48-0.93]; P for interaction = .75) or OS (Group A HR: 0.57 [95%CI: 0.29-1.12]; Group B HR: 0.85 [95%CI: 0.73-0.99];Group C HR: 0.69 [95%CI: 0.48-1.01] P for interaction = .36). No statistically significant difference in terms of dose reductions due to toxicities were found according to BMI in the overall population (P = .48) and in pts treated with FOLFOXIRI plus bev (P = .57). CONCLUSION: BMI was neither prognostic or predictive for PFS and OS in our population. Our analyses showed that the advantage of FOLFOXIRI plus bev versus FOLFIRI/FOLFOX plus bev was independent from BMI.

The most important characteristics regarding the mucosal infection and immune responses against the Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) as well as the current vaccines against coronavirus disease 2019 (COVID-19) in development or use are revised to emphasize the opportunity for lactic acid bacteria (LAB)-based vaccines to offer a valid alternative in the fight against this disease. In addition, this article revises the knowledge on: (a) the cellular and molecular mechanisms involved in the improvement of mucosal antiviral defenses by beneficial Lactiplantibacillus plantarum strains, (b) the systems for the expression of heterologous proteins in L. plantarum and (c) the successful expressions of viral antigens in L. plantarum that were capable of inducing protective immune responses in the gut and the respiratory tract after their oral administration. The ability of L. plantarum to express viral antigens, including the spike protein of SARS-CoV-2 and its capacity to differentially modulate the innate and adaptive immune responses in both the intestinal and respiratory mucosa after its oral administration, indicates the potential of this LAB to be used in the development of a mucosal COVID-19 vaccine.

Research has demonstrated that individual differences in numeracy may have important consequences for decision making. In the present paper, we develop a shorter, psychometrically improved measure of numeracythe ability to understand, manipulate, and use numerical information, including probabilities. Across two large independent samples that varied widely in age and educational level, participants completed 18 items from existing numeracy measures. In Study 1, we conducted a Rasch analysis on the item pool and created an eight\item numeracy scale that assesses a broader range of difficulty than previous scales. In Study 2, we replicated this eight\item scale in a separate Rasch analysis using data from an independent sample. We also found that the new Rasch\based numeracy scale, compared with previous measures, could predict decision\making preferences obtained in past studies, supporting its predictive validity. In Study, 3, we further established the predictive validity of the Rasch\based numeracy scale. Specifically, we examined the associations between numeracy and risk judgments, compared with previous scales. Overall, we found that the Rasch\based scale was a better linear predictor of risk judgments than prior measures. Moreover, this study is the first to present the psychometric properties of several popular numeracy measures across a diverse sample of ages and educational level. We discuss the usefulness and the advantages of the new scale, which we feel can be used in a wide range of subject populations, allowing for a more clear understanding of how numeracy is associated with decision processes. Copyright ? 2012 John Wiley & Sons, Ltd.

In these times of insufficient resources for all there can be no shared decision-making, that is, a shared plan of care Without attempting to subtly induce the patient to believe that it is the best decision for him In the case of CoViD-19, we must rely on professionals: it is not the time for the anticipated treatment plan, for self-determination Of course, we can always say "no";but we hope that as soon as possible we will be able to take back all the freedoms that has just been conquered: that of end-of-life choices, after a process of sharing with the carers But in this difficult moment someone can also feel a relief - that of the old paternalistic choices - that someone else decides for us

Drop-on-demand inkjet printing is an easily up-scalable, rapid and digital deposition technique that allows thin film formation with a high material utilization rate as ideally needed for solar cells production In this contribution, a method is reported to prepare inkjet-printed compact TiO2 thin films that are further assessed as electron transport layer (ETL) for perovskite solar cells and compared to reference dip-coated TiO2 layers Through ink formula engineering and adjustment of the printing parameters, a reliable process control is achieved leading to a homogeneous TiO2 coating of the FTO substrate Perovskite solar cells with inkjet-printed TiO2 ETL yielded efficiencies up to 13 7?%, outperforming the efficiency and the process repeatability of devices prepared with our dip coated TiO2 reference Together with other recent contributions on inkjet-printed perovskite solar cells, this work contributes to highlight the processability of thin film solar cells using digital inkjet printing for next generation photovoltaic applications This article is protected by copyright All rights reserved

The unprecedented lockdowns resulting from COVID-19 in spring 2020 triggered changes in human activities in public spaces. A predictive modeling approach was developed to characterize the changes in the perception of the sound environment when people could not be surveyed. Building on a database of soundscape questionnaires (N = 1,136) and binaural recordings (N = 687) collected in 13 locations across London and Venice during 2019, new recordings (N = 571) were made in the same locations during the 2020 lockdowns. Using these 30-s-long recordings, linear multilevel models were developed to predict the soundscape pleasantness ( [Formula: see text]) and eventfulness ( [Formula: see text]) during the lockdown and compare the changes for each location. The performance was above average for comparable models. An online listening study also investigated the change in the sound sources within the spaces. Results indicate (1) human sounds were less dominant and natural sounds more dominant across all locations; (2) contextual information is important for predicting pleasantness but not for eventfulness; (3) perception shifted toward less eventful soundscapes and to more pleasant soundscapes for previously traffic-dominated locations but not for human- and natural-dominated locations. This study demonstrates the usefulness of predictive modeling and the importance of considering contextual information when discussing the impact of sound level reductions on the soundscape.

In late March and early April 2020, the antimalarial drug, chloroquine, has been approved as an emergency treatment for the coronavirus disease 2019 (COVID-19) in the United States and in Europe. Although infrequent, neuropsychiatric symptoms have been reported in patients who received chloroquine for the treatment of malaria or autoimmune diseases. In this study, aiming to investigate these adverse events (AEs) using a large self-reporting database, we conducted a disproportionality analysis for the detection of neuropsychiatric AE signals associated with the use of chloroquine (or hydroxychloroquine), reported to FDA Adverse Event Reporting System (FAERS) database between the fourth quarter of 2012 and the fourth quarter of 2019. We included 2,389,474 AE cases, among which 520 cases developed neuropsychiatric AE following the use of chloroquine. Adjusted reporting odds ratio (ROR) for the development of each of the neuropsychiatric AEs following the use of chloroquine was calculated using a multilevel model: exposure to chloroquine was associated with a statistically significant high reporting of amnesia, delirium, hallucinations, depression, and loss of consciousness, (lower 95% confidence interval of the adjusted ROR > 1), although the degree of increase in their ROR was limited. There was no statistically significant high reporting of any other neuropsychiatric AE, including suicide, psychosis, confusion, and agitation. Current pharmacovigilance study results did not suggest any potential link between the use of chloroquine and an increased risk of suicide, psychosis, confusion, and agitation, which would be informative during the emergency use of chloroquine for the treatment of COVID-19.

We conducted a retrospective cohort study using a difference-in-differences design to estimate differences in primary care outpatient clinic visit utilization among high- and low-risk Medicare aging beneficiaries from an Accountable Care Organization during the COVID-19 pandemic compared to a control cohort from the previous year. High-risk was defined as having a Hierarchical Condition Category score of 2 or higher. A total of 582 101 patient-month records were analyzed. After adjusting for patient characteristics, those in the high-risk group had 339 (95% CI [333, 345]) monthly outpatient encounters (in-person and telehealth) per 1000 patients compared to 186 (95% CI [182, 190]) in the low-risk group. This represented a 22.8% and 26.5% decline from the previous year in each group, respectively. Within each group, there was lower utilization among those who were older, male, or dually eligible for Medicaid in the high-risk group and among those who were younger, male, or non-white in the low-risk group. Telehealth use was less common among patients who were older, dually eligible for Medicaid or living in rural/suburban areas compared to urban areas. All results were significant at the 95% level. We found significant disparities based on age, gender, insurance status, and non-white race in primary care utilization during the pandemic among Medicare beneficiaries. With the exception of gender, these disparities differed between high- and low-risk groups. Interventions targeting these vulnerable groups may improve health equity in the setting of public health emergencies.

Forecasting the extent of the domestic health risk of epidemics by mathematical modeling is a useful tool for evaluating the feasibility of policies for controlling outbreaks. The objective of this study was to develop a time-dependent dynamic simulation model to forecast the COVID-19 autumn-winter outbreak in the metropolitan area of Buenos Aires, and to assess the effect of social distancing on epidemic spread. The model used was the 'Susceptible-Exposed-Infectious-Recovered' framework which incorporated appropriate compartments relevant to interventions such as quarantine, isolation and treatment. In a low-intervention scenario including only 2-week isolation for international travelers and their contacts, the model estimated a maximum peak of nearly 90 000 symptomatic cases for early May. For an intervention scenario with mandatory quarantine during a 5-month period, the curve of cases flattened and receded as the proportion of quarantined individuals increased. The maximum peak was expected to appear between May 8 and Jul 8 depending on the quarantine strategy, and the average number of infectious symptomatic cases were 46 840, 30 494, 23 164, 16 179, and 13 196 when 10%, 20%, 30%, 40%, and 50% of the population remained in a 5-month-term continuous quarantine, respectively. Only mandatory quarantine was able to delay the maximum peak of infection and significantly reduce the total number of infected individuals and deaths at a 150-day term. The interruption of the quarantine before 120 days of its beginning could generate an even more serious outbreak 30 days later, and surpass the scarce medical resources available for the intensive care of critically-ill patients.

BACKGROUND AND AIMS: The COVID-19 pandemic has caused many changes in the nutritional care process as a result of the social distancing measures imposed, especially in the assessment of nutritional status, in which obtaining anthropometric measures is necessary. METHODS: Critical review of the international anthropometry literature, in the light of the recent scientific evidence of COVID-19. RESULTS: This paper presents recommendations for anthropometric assessment of the nutritional status of people in ambulatory settings for both remote and in-person assessment. The most appropriate measures to the current pandemic scenario are also discussed, in order to contribute to the monitoring of nutritional status and to minimize health impacts.results CONCLUSION: When sanitary conditions cannot be guaranteed during in-person encounters or when the person cannot attend the office of the professional, the remote anthropometric assessment can be a useful strategy to nutritional surveillance.

[Figure: see text] Schematic representation of TPC2 role, investigated through genetic ablation and drug blocker, in the inhibition of Coronaviruses release into the cells.

Social distancing is one of the non-pharmacological measures to contain the infection of COVID-19. At this point in time, no vaccine is available to prevent the infection, no effective drugs are available to prevent and treat the disease, and none of the communities have acquired herd immunity. Various models have shown positive impact of social distancing, provided its implementation on vast majority of the population over a long period of time. Its effect is manifold. Besides flattening the curve, it impacts the political, fiscal, social, economic aspects of the society, along with socially vulnerable and economically underprivileged population. It becomes obsolete after the population develops herd immunity subsequent to widespread infection in the community, or after effective mass immunisation or specific drugs for its control, cure and prevention are available widely.

BACKGROUND/AIM: Convalescent plasma collected from COVID-19 survivors contains antibodies against receptor binding domains with potent antiviral activity. The use of this therapy for COVID-19 is still under investigation, as the pathophysiological and immunological mechanisms responsible for the evolution of the disease have not been fully identified. PATIENTS AND METHODS: In this retrospective observational study, we included all patients with a confirmed SARS-Cov-2 infection based on positive RT-PCR testing, who received convalescent plasma treatment in addition to standard therapy, between 17.05.2020 and 27.11.2020, following hospitalization in the Anaesthesia and Intensive Care Unit of the Sibiu County Emergency Clinical Hospital, Romania. RESULTS: Convalescent plasma therapy of patients with SARS-Cov-2 infection and severe forms of the disease (requiring only high-flow oxygen therapy or non-invasive ventilation) significantly improved inflammatory markers (CRP, fibrinogen) and ventilatory parameters (SaO2, paO2, paO2/FiO2) reducing the need of supplemental oxygen delivery (p<0.05). Other factors that had a significant influence on the outcome were age and comorbidity. CONCLUSION: Inflammatory markers and ventilatory parameters were significantly improved and the need of supplemental oxygen delivery was reduced in COVID-19 patients treated with convalescent plasma.

Enteroviruses, including Coxsackievirus B3 (CVB3), are pervasive pathogens that cause significant disease, including cardiomyopathies. Unfortunately, no treatments or vaccines are available for infected individuals. We identified the host polyamine pathway as a potential drug target, as inhibiting polyamine biosynthesis significantly reduces enterovirus replication in vitro and in vivo. Here, we show that CVB3 is sensitive to polyamine depletion through the polyamine analog diethylnorspermidine (DENSpm), which enhances polyamine catabolism through induction of polyamine acetylation. We demonstrate that CVB3 acquires resistance to DENSpm via mutation of the 2A protease, which enhances proteolytic activity in the presence of DENSpm. Resistance to DENSpm occurred via mutation of a non-catalytic site mutation and results in decreased fitness. These data demonstrate that potential for targeting polyamine catabolism as an antiviral target as well as highlight a potential mechanism of resistance.

We describe the early phases of a COVID-19 epidemic in two contiguous Italian regions, Lombardy and Veneto, which were heavily and simultaneously hit by SARS-CoV-2 in Italy but showed markedly different disease outcome in terms of case fatality rate, SARS-CoV-2-attributable mortality and hospitalization. We discuss data limitations together with similarities and differences of the regional context possibly affecting COVID-19 control in the two regions. We conclude that the better COVID-19 outcome in Veneto was due, at least in part, to the adoption of a strategy of active search of asymptomatic SARS-CoV-2 infections (Reasoned Mass Testing), instead of a strategy strictly based on the detection of symptomatic cases.

Importance: Despite widespread vaccination against COVID-19 in the United States, there are limited empirical data quantifying the public health impact in the population. Objective: To estimate the number of cases of COVID-19 averted due to COVID-19 vaccination Design, Setting, and Participants: The California Department of Public Health (CDPH) provided person-level data on COVID-19 cases and COVID-19 vaccine administration. To estimate the number of COVID-19 cases that would have occurred in the vaccine era in absence of vaccination, we applied a statistical model that estimated the relationship of COVID-19 cases in the pre-vaccine era between the unvaccinated age group (<12 years) and vaccine-eligible groups ([]12 years) to COVID-19 case data after the start of vaccination. The primary study outcome was the difference between predicted number of COVID-19 cases in absence of vaccination and observed COVID-19 cases with vaccination. As a sensitivity analysis, we developed a second independent model that estimated the number of vaccine-averted COVID-19 cases by applying published data on vaccine effectiveness to data on COVID-19 vaccine administration and estimated risk of COVID-19 over time. Intervention: COVID-19 vaccination Main Outcomes and Measures: COVID-19 cases Results: There were 4,585,248 confirmed COVID-19 cases in California from January 1, 2020 to October 16, 2021, during which 27,164,680 vaccine-eligible individuals []12 years were reported to have received at least 1 dose of a COVID-19 vaccine in the vaccine era (79.5% of the eligible population). We estimated that 1,523,500 [95% prediction interval (976,800-2,230,800)] COVID-19 cases were averted and there was a 34% [95% prediction interval (25-43)] reduction in cases due to vaccination in the primary model. Approximately 66% of total cases averted occurred after the delta variant became the dominant strain of SARS-CoV-2 circulating in California. Our alternative model identified comparable findings. Conclusions and Relevance: This study provides robust evidence on the public health impact of COVID-19 vaccination in the United States and further supports the urgency for continued vaccination.

BACKGROUND: Several studies that aim to enhance the understanding of malaria transmission and persistence in urban settings failed to address its underlining complexity. This study aims at doing that by applying qualitative and participatory-based system analysis and mapping to elicit the systems emergent properties. METHODS: In two experts workshops, the system was sketched and refined. This system was represented through a causal loop diagram, where the identification of leverage points was done using network analysis. RESULTS: 45 determinants interplaying through 56 linkages, and three subsystems: urbanization-related transmission, infection-prone behaviour and healthcare efficiency, and Plasmodium resistance were identified. Apart from the number of breeding sites and malaria-positive cases, other determinants such as drug prescription and the awareness of householders were identified by the network analysis as leverage points and emergent properties of the system of transmission and persistence of malaria. CONCLUSION: Based on the findings, the ongoing efforts to control malaria, such as the use of insecticide-treated bed nets and larvicide applications should continue, and new ones focusing on the public awareness and malaria literacy of city dwellers should be included. The participatory approach strengthened the legitimacy of the recommendations and the co-learning of participants. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03851-7.

BACKGROUND Experimental experience and the technological evolution of minimally invasive surgical devices have allowed initial reports describing the clinical applicability of natural orifice translumenal endoscopic surgery (NOTES). Colorectal resections are an interesting target for the NOTES platform. Theoretically, the transrectal approach could overcome the proposed limitations of transvaginal access, increasing NOTES clinical applicability. Hybrid procedures such as minilaparoscopy-assisted natural orifice surgery (MA-NOS) are the safe progression to pure NOTES. This report describes the first clinical case of a transrectal MA-NOS total colectomy. METHODS The patient was a 36-year-old man with severe ulcerative colitis (UC) who experienced failure of immunosuppressive therapy. The standard steps of laparoscopic total colectomy were respected, with basic triangulation maintained throughout the case. A transrectal endoscopic device was used for optic assistance, colon dissection, ileum section, and specimen retrieval. Transrectal MA-NOS total colectomy was assisted by three laparoscopic ports: a 12-mm port used as the terminal ileostomy site, a 2-mm needle epigastric port, and a 5-mm umbilical port used as a drain site at the final intervention. No intraoperative complications occurred. RESULTS The total operative time was 240 min. Oral intake was initiated on postoperative day 2. Because of UC rectal activity, a course with azathioprine was completed, and the patient was discharged receiving 1 g of rectal mesalazine for maintenance. The final pathology demonstrated pancolonic inflammatory bowel disease in the form of UC with severe activity. CONCLUSIONS Transrectal MA-NOS total colectomy was feasible and safe in the reported case. Improvement in NOTES instrumentation and selective clinical applications are mandatory before clinical trials.

In this paper, we have discussed for the first time a detailed electronic absorption study of the mono-azo dye Direct Yellow 27 [C25H20N4Na2O9S3] (DY-27) with five different homogeneous media by applying experimental and theoretical techniques along with some new characteristics of DY-27 in the field of solar cells as well as antiviral activities. A clear absorption band in the UV-visible region was observed, although the absorption maxima lie in the visible region. The electronic absorption transitions observed in our study were fully spin and symmetry allowed transitions with -? character. Time-dependent density functional theory (TD-DFT) analysis has been done for understanding the electronic and the charge transfer performance. Moreover, the impacts of polar protic and polar aprotic solvents in the structural variation of DY-27 have been reported here. Further, applications of the dye in the field of solar cell, as well as antiviral activity, were performed using molecular modeling approaches. The dye exhibited a D--A-A structure with a high light-harvesting efficiency (LHE) and good injection efficiency acts as an effective dye sensitized solar cell (DSSC). Molecular docking studies of the dye DY-27 performed with M-protease of the different corona viruses, MERS, SARS-CoV-1 and SARS-CoV-2 indicated comparable binding energies with the controlled inhibitors and best interactions are observed for the SARS-CoV-1. ? 2021 World Scientific Publishing Company.