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<b>Data Sources for the research publication: </b><b><i>Shigella</i></b><b> outer membrane protein OmpC is a protective antigen and vaccine candidate against bacterial dysentery</b>
No full textAnti-Shigella vaccine is one of the WHO’s top priorities. The disease kills more than 200,000 people worldwide every year and poses a serious threat to children under 5 years of age and the elderly. Increasing antibiotic resistance and limitations in diagnostics emphasize the need to develop an effective vaccine against Shigella. Recent research and clinical trials report multiple approaches used in vaccine development. However, despite the efforts of researchers, pharmaceutical companies and health care organizations, there is no licensed vaccine against shigellosis available to the community. The development of lipopolysaccharides-based antibacterial vaccines has always been challenging in terms of their specificity, targeting the most exposed surface antigens identified for certain Shigella serotypes. Here, we expressed, broadly characterized and demonstrated the protective properties of outer membrane protein C as an effective molecule to serve as a universal antigen in Shigella vaccine development.</p
Atomistic configurations of Li<sub>2</sub>Mn<sub>1-x</sub>Ru<sub>x</sub>O<sub>3</sub> (x = 0, 0.1, 0.15, 0.2) models
No full textThe (131) surface model of Li2MnO3 was constructed by a six-layer close-packed p (2*1) with 72 O atoms, 48 Li atoms and 24 Mn atoms. As the Ru and Mn doping ratio is defined as the number of doping atoms divided by the total number of atoms, the doping numbers of 2 Ru, 4 Ru, 6 Ru atoms were used to approximately simulating x = 0.1, 0.15 and 0.2 heteroatomic content in single phase Li2Mn1-xRuxO3 samples, respectively.To accurately represent the Li2RuO3 model system, a new Li2RuO3 model was developed based on the refined structure obtained from X-ray diffraction (XRD) data [Nat. Mater. 12, 827-835 (2013); Solid State lonics 82, 25-31 (1995); Sci. Rep. 9, 550 (2019)], and was investigated on the strongest peak intensity of XRD pattern.</p
Table_5_Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten province, Indonesia.docx
No full textAquaculture is one of the main drivers of mangrove loss across Southeast Asian countries. The conversion of mangroves to aquaculture generates substantial loss of carbon stocks and reduces carbon storage capacity. Here, we present total ecosystem carbon stocks (TECS), carbon dioxide (CO2) and methane (CH4) effluxes obtained from mangrove forests (fringe and interior mangroves), silvofishery aquaculture ponds (dense and sparse mangroves), and non-silvofishery aquaculture ponds in Sawah Luhur, Banten, Indonesia. We found no significant difference in TECS across five land uses, ranging from 261 ± 14 Mg C ha-1 in non-silvofishery ponds to 574 ± 119 Mg C ha-1 in fringe mangroves. Most of these stocks were found in the soil carbon pool (87%) in fringe and interior mangroves. However, the conversion of mangroves to aquaculture ponds resulted in soil carbon loss from -6% to 60%. The highest soil CO2 effluxes during dry and wet seasons were observed in interior mangroves (151 ± 12 mg CO2 m-2 h-1). The highest soil CH4 effluxes were found in fringe mangroves with 0.13 ± 0.04 mg CH4 m-2 h-1. The highest aquatic CO2 and CH4 effluxes were found in dense silvofishery ponds, at 118 ± 7 mg CO2 m-2 h-1 and 0.38 ± 0.04 mg CH4 m-2 h-1, respectively. Our findings suggest that land use that includes mangroves (i.e., mangrove forest and/or silvofishery ponds) tends to have higher carbon stocks, soil, and aquatic CO2 and CH4 effluxes, compared to aquaculture ponds without mangroves. It is therefore crucial to maintain mangroves for natural carbon capture and storage through carbon stock enhancement.</p
Cybersecurity risk management and evaluation framework for blockchain identity management systems in health internet of things
No full textHealth Internet of Things (HIoT) is used broadly in healthcare because of its advantages. It facilitates remote health monitoring and advances healthcare capabilities. Security solutions are developed to counter the rise of security attacks on healthcare systems, including HIoT. Identity Management (IdM) systems (also known as Identity and Access Management (IAM) systems) are crucial security solutions for any information system, such as healthcare information systems. They manage identities and control access to data in such systems. Attackers target HIoT applications due to the high volume and sensitivity of health data. Thus, IdM systems for HIoT must be built with high standards and based on reliable frameworks. Blockchain (BC) is an emerging technology widely used for developing decentralized IdM solutions. BC-IdM has the potential to increase security and privacy by allowing data subjects to control access to data and eliminate reliance on third parties. Although the integration of BC in HIoT for proposing IdM solutions has gained recent attention, several researchers recommend studying BC security and capabilities carefully before using it for IdM solutions in any domain, such as HIoT applications. A Systematic Literature Review (SLR) was conducted on the BC-based IdM systems in HIoT applications to investigate security and system architecture. We identified the main components and technologies in typical BC-based IdM systems and the layered architecture of the BC-based IdM system in HIoT. Accordingly, the security threats and requirements were summarized. The systematic review findings showed a need for a cybersecurity risk management framework and evaluation factors for BC-based IdM in HIoT applications. This PhD research developed a cybersecurity risk management and evaluation framework for HIoT BC-IdM systems by conducting SLR and Grey Literature (GL) and designing security risk taxonomy. The evaluation factors are essential in determining the reliability and suitability of such systems, particularly in security systems designed to be security guards, such as IdM systems. Thus, this research identified the components of the BC-IdM ecosystem and the evaluation factors for all aspects of the HIoT BC-based IdM systems. Following the Delphi method, the developed framework was evaluated and validated using feedback from thirteen experts from cybersecurity risk management, IdM system, HIoT security, and BC technology domains. In addition, the Simple Multi-Attribute Rating Technique (SMART) was used with experts to assign values to the identified evaluation factors, and an ongoing BC-IdM project in HIoT systems was evaluated based on the weights assigned to the evaluation factors. The developed cybersecurity risk management and evaluation framework plays a role in standardizing the application of BC-based IdM systems in HIoT. It will assist developers, researchers, and organizations in developing a secure and functional BC-based IdM. Also, it will help in selecting the most suitable IdM solution to ensure HIoT users' data privacy and security.</p
The feature heatmap of ResNet101 on Skye’s Oblique Grating Illusion.
No full textWe used back-propagation of gradients to compute weights to visualize the feature bias of the DNN on two stimulus images of C1 and C2. The ResNet101 yielded totally four corresponding features on no illusion (C1) and illusion (C2).</p
Skye’s Oblique Grating Illusion.
No full textParallel horizontal bars create a tilted visual illusion effect when black and white diamonds are added in alternating order (A). There are two types of black-and-white diamond positional settings, with each producing opposite tilt effects (B). The tilt strength can be influenced by the width of the diamond.</p
Deep reinforcement learning noise reduction process.
No full textDeep reinforcement learning noise reduction process.</p
Dependence of the scaling factor <i>b</i>(<i>τ</i>) on <i>τ</i>: (a) from 2004 to 2011; and (b) from 2012 to 2020.
No full textFrom τ = 1000 min to 30000 min (the regime highlighted by light cyan), observe the near-linear relationship between lnτ and lnb. A similar visualization with Tint = 3 months is presented in the Fig 6 in S1 File.</p
ACF and PACF graphs for COVID-19 cases in Belo Horizonte, Brazil.
No full textACF and PACF graphs for COVID-19 cases in Belo Horizonte, Brazil.</p
PCA visualising the relationship between <i>coherence count</i> (cohcount) values and metrics describing the canopy, trunk and surface layers in the model of the above-ground biomass stand: LAI (canopy openness), ROUGH (canopy roughness), WD (height of forest stand), VDR (ratio of canopy layer to trunk layer) and GPD (exposure of peat swamp forest surface).
No full textPlots represent all 2-dimensional combinations of the first three Principal Components: (a) PC1 and PC2, (b) PC1 and PC3, (c) PC2 and PC3. All three plots show that coherence count is orthogonal to all other variables.</p