Zinc Blende 0D Quantum Dots to Wurtzite 1D Quantum Wires: The Oriented Attachment and Phase Change in ZnSe Nanostructures

Oriented attachment of nanocrystals has been recently studied as one of the important tools to organize the nanocrystals in a regular array to design new nanostructures. This is mostly a thermodynamically driven process where the nanocrystals align in a certain crystallographic direction and merge, minimizing the interfacial energy of the system during the course of reaction. While this has been widely studied for several group II–VI semiconductor nanocrystals, we explore herein ZnSe 0D quantum dots which on merging change to 1D quantum nanowires. Importantly, the phase of the nanocrystals is found to be transformed from zinc blende to wurtzite after the fusion. To understand this, we have analyzed the intermediate samples and studied the high-resolution transmission electron microscopy (HRTEM) of single, twin, and triple connected dots as well as the final nanowires and address the phase change during the shape conversion. Additionally, we have provided density functional theory (DFT) calculation to support our experimental observations

Table2_Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework.docx

Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process.Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed.Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making.Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population’s risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.</p

Density of States, Carrier Concentration, and Flat Band Potential Derived from Electrochemical Impedance Measurements of N‑Doped Carbon and Their Influence on Electrocatalysis of Oxygen Reduction Reaction

Nitrogen-doped carbon (N/C) and graphene (N/G) were synthesized by the established conventional heat-treatment method, and the incorporation of nitrogen into the carbon matrix was confirmed by CHN analysis, X-ray photoelectron spectroscopy (XPS), and Raman spectroscopy. Electrochemical impedance spectroscopy (EIS) of the prepared catalysts in argon-saturated 0.1 M KOH was performed in a three-electrode rotating disk electrode (RDE) configuration. The capacitance derived from the low-frequency region of the EIS patterns was used to estimate the effective density of states [<i>D</i>(<i>E</i>_F)] of carbon and its nitrogen-doped counterparts. Moreover, the carrier concentrations (<i>N</i>_D) and flat band potentials of the samples were obtained by Mott–Schottky analysis. The metal-free catalyst samples were tested for possible oxygen reduction reaction (ORR) activity in oxygen-saturated 0.1 M KOH electrolyte, and the origin of the activity improvement with nitrogen doping of carbon/graphene can be explained on the basis of the effective density of states [<i>D</i>(<i>E</i>_F)], carrier concentration (<i>N</i>_D), and flat band potential. The results suggest that N/C-900 has the highest carrier concentration and maximum flat band potential and, therefore, the highest activity for the ORR

Image1_Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework.pdf

Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process.Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed.Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making.Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population’s risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.</p

Table1_Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework.docx

Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process.Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed.Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making.Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population’s risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.</p

Table3_Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework.docx

Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process.Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed.Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making.Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population’s risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.</p

Image2_Home-Isolation Care in Newly COVID-19-Positive Elderly Patients: A Caregiver-Centric Explanatory Framework.pdf

Objectives: This community-based study aimed to identify the effect of different behavioral factors of family caregivers on the decision for home-isolation-based treatment of a new COVID-19-diagnosed elderly individual. It also explored the facilitators and barriers contributing to the decision-making process.Methods: A mixed-methods design was adopted to study the role of behavioral constructs such as risk tolerance, risk aversion, regret aversion, loss aversion, self-efficacy, and risk perception in healthcare-seeking decisions. By integrating the findings from the quantitative and qualitative parts, a framework was developed.Results: Self-efficacy, risk perception, and risk tolerance related to different issues were crucial factors behind the healthcare decision. However, regarding the various issues under consideration, risk perception followed by risk tolerance were the significant predictors for decision-making.Conclusion: To enhance appropriateness and equity in emergency healthcare-seeking, interventions should target risk tolerance and risk perception, taking into account the awareness levels of caregivers and the target population’s risk and regret aversion. Such integrated approaches can improve the quality of care for elderly patients in home-based settings.</p

Energy costs (E) of HIV-1 NL4-3 Gag mutants predicted by computational models.

a<p>E is 2.98 for wild-type NL4-3 p24 and 3.43 for wild-type NL4-3 p17.</p>b<p>E is 3.67 for wild-type NL4-3 p24 and 1.64 for wild-type NL4-3 p17.</p>c<p>E is 4.43 for wild-type NL4-3 p24 and 2.81 for wild-type NL4-3 p17.</p>d<p>The 198V mutation was not observed within the MSA used to fit the Potts model, precluding the fitted model from assigning an energy to viral strains containing this point mutation.</p

Replication capacities of NL4-3 viruses encoding mutations in HIV-1 Gag.

<p>Graphs show replication capacities of NL4-3 viruses encoding (A) Gag p24 mutation pairs with high E values that were previously identified to be in vulnerable co-evolving groups <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003776#pcbi.1003776-Dahirel1" target="_blank">[12]</a> and single mutations within these pairs; (B) Gag p24 HLA-associated pairs with high E values and single mutations within these pairs; (C) Gag p24 pairs/triple with low E values as well as single mutations within these combinations; and (D) Gag p17 pairs including single mutations within the pairs. Those mutants that (i) were not viable or (ii) were not viable unless further mutations developed (indicated with an asterisk), were assigned a replication capacity of zero. Mutation pairs and triples are shown in grey while single mutations within these combinations are shown in black. Replication capacities of mutant viruses are expressed relative to the replication capacity of wild-type NL4-3 virus (<i>RC</i> = 1). Bars represent the mean of three independent experiments and error bars represent standard deviation from the mean.</p

Relationship between predicted E values and replicative capacities of HIV-1 NL4-3 Gag mutants.

<p>Scatter plots showing strong correlations between measured replication capacities of mutants and E values predicted by (A) original Ising (Pearson's correlation, <i>r</i> = −0.74 and , two-tailed test, <i>n</i> = 30), (B) regularized Ising (Pearson's correlation, and , two-tailed test, <i>n</i> = 43) and (C) regularized Potts (Pearson's correlation, and , two-tailed test, <i>n</i> = 41) models. In the original Ising model (panel A), mutants with E values of infinity (<i>n</i> = 13) are excluded from the correlation.</p