Notes

Sheet testing to assess the potential to deal with damage of long-lasting insecticidal nets for malaria management and elimination.
Also, a significant positive correlation was observed between HIV-1 RNA levels and CD38+CD8+ T lymphocyte.

Immune activation markers (CD38 & HLA-DR) increase with disease progression. CD38+ on CD8+ T lymphocyte correlates well with HIV1 RNA levels in individuals failing on antiretroviral therapy.
Immune activation markers (CD38 & HLA-DR) increase with disease progression. CD38+ on CD8+ T lymphocyte correlates well with HIV1 RNA levels in individuals failing on antiretroviral therapy.The outbreak of the corona virus disease 2019 (COVID-19) infection has spread to a large number of countries worldwide. The early diagnosis of COVID-19 is complicated by its strong transmission characteristics and no obvious symptoms in the incubation period. Due to the relatively sealed indoor environment and the existing ventilation system, the patients and doctors in the fever clinics of the major hospitals are faced with a huge risk of infection. This study aims to investigate the transport of droplet aerosols generated by both doctors and patients to seek measures to reduce the risk of infection. Taking a typical fever clinic as an object of study, two links in the actual diagnosis and treatment process are selected in this manuscript for investigation by experimental and numerical methods. The effects of different cases of coughing and talking, as well as different contact distances, on the inhalation rate of human droplet aerosols are studied. The purification capacity of the ventilation is evaluated by the analysis results of the particle diffusion track and regional concentration of the entire indoor area and breathing zones. The results show that purification of the same number of droplet aerosols and purification by ventilation work better for coughing than for talking. The best ventilation performance appeared for the case of a patient sitting and coughing (PSC), while the case of a patient lying and talking (PLT) was the worst. Corresponding measures are suggested to improve the air purification effect and reduce the risk of cross infection.We analyse an urban platform (Alibaba's City Brain) to show how smart city development is evolving in urban China. In order to do so, we base our analysis on two strands of literature that on platform urbanism, and on the experimental city. The paper identifies two processes that are shared across both bodies of work on platform urbanism and experimental cities relational co-production and territorialisation. These processes can also be applied to the case of City Brain as both a platform and an urban experiment. We conclude by reflecting on the significance of urban platforms on the co-production of data-enabled urban governance; local urban context; and citizenship.The emergence of COVID-19 across the globe prompted many countries to institute total lockdown or other models of mobility restrictions to mitigate the spread of the disease. On March 29th, Nigeria instituted a nationwide lockdown. It is pertinent to understand the pattern created by this lockdown. This could offer insights into how people perceive the hazard and the level of compliance across the States in Nigeria. Mobile phone-based mobility data and the number of new cases from the beginning to the end of the lockdown were utilised. The study examines space-time trends across different place categories at the state level. Place categories witnessed mobility reduction as high as 56%, 57%, 65%, 75%, 38% for retail and recreation (RtRc), Grocery and Pharmacy (GrPh), Park, and Transport Hubs (Trst) respectively. Most States recorded mobility uptrend towards workplace, retail and recreational areas. Multiple correspondence analysis (MCA) identified two dimensions from the Space-time trends. The first dimension (D1) accounted for 66% of the variance. Examination of the Object Scores from the MCA showed that there are two classes-two risk perception groups. The pattern of mobility recorded shows that there is a variation in mobility restriction compliance across the States. The trend groupings identified captured an aspect of risk perception within each State. Thus, pointing to difference in levels of risk acceptance. With the level of misinformation currently being experienced worldwide, concerted efforts should be made on improving risk perception to prevent the re-emergence of the disease.RHF and DFT (wB97XD and B3LYP) methods with the 6-31++G** basis set have been used to study structural, optoelectronic and thermodynamic properties of Theophylline and Theobromine. Dipole moment, average polarizability, anisotropy, first-order molecular hyperpolarizability, second-order molecular polarizability, HOMO and LOMO energy gap, molar refractivity, chemical hardness, chemical softness, electronic chemical potential, electronegativity, electrophilicity index, dielectric constant, electric susceptibility, refractive index and their thermodynamic properties have equally been calculated. To understand the vibrational analysis of our system, IR and RAMAN frequencies were calculated and described. Results reveal that molecules can have applications in linear and nonlinear optical devices, photonic devices and in molecular electronics. Equally, from dipole moment, average polarizability, anisotropy, first-order molecular hyperpolarizability, second-order molecular polarizability, HOMO and LOMO energy gap, molar refractivity, chemical hardness, chemical softness, electronic chemical potential, electronegativity, electrophilicity index and literature we suggest that Theophylline and Theobromine be consider as candidates for the treatment of COVID-19 and other respiratory diseases.Respondent driven sampling (RDS) is a sampling method designed for hard-to-sample groups with strong social ties. RDS starts with a small number of arbitrarily selected participants ("seeds"). Seeds are issued recruitment coupons, which are used to recruit from their social networks. Waves of recruitment and data collection continue until reaching a sufficient sample size. Under the assumptions of random recruitment, with-replacement sampling, and a sufficient number of waves, the probability of selection for each participant converges to be proportional to their network size. With recruitment noncooperation, however, recruitment can end abruptly, causing operational difficulties with unstable sample sizes. Noncooperation may void the recruitment Markovian assumptions, leading to selection bias. Here, we consider two RDS studies one targeting Korean immigrants in Los Angeles and in Michigan; and another study targeting persons who inject drugs in Southeast Michigan. We explore predictors of coupon redemption, associations between recruiter and recruits, and details within recruitment dynamics. While no consistent predictors of noncooperation were found, there was evidence that coupon redemption of targeted recruits was more common among those who shared social bonds with their recruiters, suggesting that noncooperation is more likely to be a feature of recruits not cooperating, rather than recruiters failing to distribute coupons.This paper looks at how Macao, the world's most densely populated city, deals with the COVID-19 disease, with a focus on government interventions and responses of the gaming concessionaires who operate integrated resorts. Macao was selected as the case not only because of the background of the authors, but also because Macao has been cited in many media coverage as a "good practice" example when it comes to fighting against this COVID-19 pandemic situation. Since there are already ample of articles on the background, development timeline, and overall commentary, this paper adopts a mixed approach by combining supplementary secondary data on the COVID-19 timeline in Macao (focusing on government interventions that can affect the tourism and hospitality industry) and primary qualitative in-depth interviews with senior management personnel (holding positions of Director or above) from major integrated resorts in Macao to get insights on industry strategic responses and expectation on future. A total of seven interviews were conducted with senior management members of five integrated resorts in May 2020. Four areas of responses were identified. They are 1. Survival; 2. The New Business Norm; 3. Business Rebound Strategies and 4. Corporate Social Responsibility (CSR). The findings indicate a seemingly utopian scenario among the major integrated resorts and gaming concessionaires in Macao towards their compliance and autonomous actions. The mechanism of this utopian-like scenario is explained by adopting the neo-institutional theory.Assessment of computed tomography (CT) images can be complex due to a number of dependencies that affect system performance. In particular, it is well-known that noise in CT is object-dependent. Such object-dependence can be more pronounced and extend to resolution and image textures with the increasing adoption of model-based reconstruction and processing with machine learning methods. Moreover, such processing is often inherently nonlinear complicating assessments with simple measures of spatial resolution, etc. Similarly, recent advances in CT system design have attempted to improve fine resolution details - e.g., with newer detectors, smaller focal spots, etc. Recognizing these trends, there is a greater need for imaging assessment that are considering specific features of interest that can be placed within an anthropomorphic phantom for realistic emulation and evaluation. In this work, we devise a methodology for 3D-printing phantom inserts using procedural texture generation for evaluation of performance of high-resolution CT systems. Accurate representations of texture have previously been a hindrance to adoption of processing methods like model-based reconstruction, and texture serves as an important diagnostic feature (e.g. heterogeneity of lesions is a marker for malignancy). We consider the ability of different systems to reproduce various textures (as a function of the intrinsic feature sizes of the texture), comparing microCT, cone-beam CT, and diagnostic CT using normal- and high-resolution modes. We expect that this general methodology will provide a pathway for repeatable and robust assessments of different imaging systems and processing methods.Model-based material decomposition (MBMD) directly estimates the material densities from the spectral CT data and has found opportunities for dose reduction via physical and statistical modeling and advanced regularization. However, image properties such as spatial resolution, noise, and cross-basis response in the context of material decomposition are dependent on regularization, and high-dimensional exhaustive sweeping of regularization parameters is suboptimal. In this work, we proposed a set of prediction tools for generalized local impulse response (LIR) that characterizes both in-basis spatial resolution and cross-basis response, and noise correlation prospectively. The accuracy of noise predictor was validated in a simulation study, comparing predicted and measured in- and cross-basis noise correlations. Employing these predictors, we composed a specialized regularization for cross-talk reduction and showed that such prediction tools are promising for task-based optimization in spectral CT applications.
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