COVID-19 first anniversary review of cases, hospitalization, and mortality in the UK

Introduction: The first confirmed COVID-19 case in UK dates to 11 January 2020, exhibiting its first peak during April 2020. The country has since been hit by another wave in the winter 2020, almost at the first anniversary of the pandemic.Areas covered: An in-depth analysis of the COVID-19 positive cases in the UK throughout the year, hospitalizations, patients in critical care, and COVID-19 associated deaths.Expert opinion: The COVID-19 associated hospital admission accounts to 15% of total COVID-19 positive cases in November 2020. The percentage of total COVID-19 positive patients in the country died from the disease was under 4% in November 2020. Total deaths in England (all-cause) from June to October 2020 were similar to the historic averages. Age was the single most determinator of COVID-19 associated mortality, 50 years or older accounted for 98% of total COVID deaths. Age distribution of COVID-19 associated deaths in 2020 was similar to all-cause mortality age distribution in 2019. There was no significant improvement in the survival rate of COVID-19 patients receiving critical care. This prompts an urgent need to invest in novel antiviral therapeutics to save the most vulnerable in the society

Rule-Based Run Control and Evaluation for Simulation

RC 19494 (84719) Modeling projects are often faced with a large parameter space that has to be explored in order to produce a set of performance measures representing the behavior of the systems under study. In this paper, we describe a software component that provides the analyst with the functionality to specify a design of experiments and execute a search algorithm over the resulting parameter space. The component invokes the associated simulation runs and compares the results to a goal to determine the solution. This component has been implemented as the run control mechanism in the RESearch Queueing Modeling Environment (RESQME). We demonstrate the use of this experimental run control and evaluation component for simple enumeration of the parameter space, interactive evaluation, as well as generalized rule-based control

A low-cost, high-performance, soft tri-axis tactile sensor based on eddy-current effect

Tactile sensors are essential for robotic systems to interact safely and effectively with the external world. In particular, tri-axis tactile sensors are crucial for dexterous robotic manipulations by providing shear force for slip and contact angle detection. In this paper, we present a soft tri-axis tactile sensors using flexible coils and conductive films based on eddy-current effect. Prototypes were developed, calibrated and evaluated, which achieved a force measurement resolution of 0.3 mN in each axis, with a bandwidth up to 1 kHz. The presented sensor is low-cost, robust, durable, and easily customizable for a variety of robotic and healthcare applications

Design and Characterization of Tri-axis Soft Inductive Tactile Sensors

Tactile sensors are essential for robotic systems to safely and effectively interact with the environment and humans. In particular, tri-axis tactile sensors are crucial for dexterous robotic manipulations by providing shear force, slip or contact angle information. The Soft Inductive Tactile Sensor (SITS) is a new type of tactile sensor that measures inductance variations caused by eddy-current effect. In this paper, we present a soft tri-axis tactile sensor using the configuration of four planar coils and a single conductive film with hyperelastic material in between them. The working principle is explained and design methods are outlined. A 3D finite element model was developed to characterize the tri-axis SITS and to optimize the target design through parameter study. Prototypes were fabricated, characterized and calibrated, and a force measurement resolution of 0.3 mN is achieved in each axis. Demonstrations show that the sensor can clearly measure light touch (a few mN normal force) and shear force pulses (10 to 30 mN) produced by a serrated leaf when it is moved across the sensor surface. The presented sensor is low cost, high performance, robust, durable, and easily customizable for a variety of robotic and healthcare applications

Thin soft layered actuator based on a novel fabrication technique

This paper presents a novel fabrication method for constructing thin soft layered actuators. The method is based on building up thin layers of elastomeric material with embedded strain-limiting and mask layers using a bespoke film applicator. This enables the fabrication of millimetre-scale soft actuators with complex integrated masks and/or strain-limiting layers, as demonstrated in a series of proof of concept prototypes. The prototype actuators can be cut into a desired shape via laser cutting the laminated sheet. This paper shows the feasibility of the fabrication method and the value of its use in creating thin soft layered actuators for application in soft robotics. The technique can be further developed to fabricate multi-material composite soft actuators which are thin, compact, flexible and stretchable

COVID-19 Vaccine Hesitancy among Pregnant Women Attending Antenatal Clinics in Pakistan: A Multicentric, Prospective, Survey-Based Study

This study aimed to assess the vaccination status and factors contributing to vaccine hesitancy among pregnant women in the largest province of Pakistan. A multicentric, prospective, survey-based study using an interviewer-administered tool was conducted among pregnant women attending antenatal clinics between 1 December 2021 through 30 January 2022 across seven hospitals in Pakistan. The healthcare professionals providing care at the participating hospitals administered the survey. Four hundred and five pregnant women fully consented and completed the study. The majority of the study participants (70.6%, n = 286) were aged between 25 and 34 and had a previous successful pregnancy history. More than half of the study participants (56.0%, n = 227) did not receive COVID-19 vaccination at the time of data collection despite their family members (93.9%, n = 372) had already received at least one dose of COVID-19 vaccine. Among those who received COVID-19 vaccination (n = 173), vaccine efficacy, protection for the foetus, and risk of COVID-19-associated hospitalisation were the main driving factors for vaccine hesitancy. The majority of the unvaccinated women (77.8%, n = 182) had no intention of receiving the vaccine. However, more than two-thirds (85.7%, n = 342) consulted the doctor about COVID-19 vaccines, and most were recommended to receive COVID-19 vaccines by the doctors (80.7%, n = 280). Women were significantly more likely to be vaccinated if they had employment (odds ratio [OR] 4.47, 95% confidence interval [CI]: 2.31–8.64) compared with their counterparts who were homemakers, consulted their doctors (OR 0.12, 95% CI: 0.04–0.35), and if they did not have pregnancy-related issues (OR 6.02, 95% CI: 2.36–15.33). In this study, vaccine hesitancy was prevalent, and vaccine uptake was low among pregnant women. Education and employment did impact COVID vaccination uptake, emphasising the need for more targeted efforts to enhance the trust in vaccines

Computational Design Tools for Soft Inductive Tactile Sensors

Soft tactile sensors are a key enabling technology for next generation robotic systems and it is imperative to develop appropriate design tools to inform their design, integration and optimisation. The use of computational models can help speed this process and minimise the need for timely emperical design methods. Here we present the use of computational multi-physics modelling as a design tool for Soft Inductive Tactile Sensors (SITS) which use variation in electromagnetically-induced eddy-current effects as a transducer mechanism. We develop and experimentally validate 2D models which extend existing understanding to provide insight into the configuration of sensing elements for measurement of multi-axis forces and rejection of unwanted environmental disturbances. We analyse the limitations of this approach and discuss opportunities for future improvements to advance this burgeoning area

Escherichia coli HU protein has a role in the repair of abasic sites in DNA

HU is one of the most abundant DNA binding proteins in Escherichia coli. We find that it binds strongly to DNA containing an abasic (AP) site or tetrahydrofuran (THF) (apparent Kd ≈50 nM). It also possesses an AP lyase activity that cleaves at a deoxyribose but not at a THF residue. The binding and cleavage of an AP site was observed only with the HUαβ heterodimer. Site-specific mutations at K3 and R61 residues led to a change in substrate binding and cleavage. Both K3A(α)K3A(β) and R61A(α)R61A(β) mutant HU showed significant reduction in binding to DNA containing AP site; however, only R61A(α)R61A(β) mutant protein exhibited significant loss in AP lyase activity. Both K3A(α)K3A(β) and R61K(α)R61K(β) showed slight reduction in AP lyase activities. The function of HU protein as an AP lyase was confirmed by the ability of hupA or hupB mutations to further reduce the viability of an E. coli dut(Ts) xth mutant, which generates lethal AP sites at 37°C; the hupA and hupB derivatives, respectively, had a 6-fold and a 150-fold lower survival at 37°C than did the parental strain. These data suggest, therefore, that HU protein plays a significant role in the repair of AP sites in E. coli