Blending of nanoscale and microscale in uniform large-area sculptured thin-film architectures

The combination of large thickness ($>3$ $\mu$m), large--area uniformity (75 mm diameter), high growth rate (up to 0.4 $\mu$m/min) in assemblies of complex--shaped nanowires on lithographically defined patterns has been achieved for the first time. The nanoscale and the microscale have thus been blended together in sculptured thin films with transverse architectures. SiO$_x$ ($x\approx 2$) nanowires were grown by electron--beam evaporation onto silicon substrates both with and without photoresist lines (1--D arrays) and checkerboard (2--D arrays) patterns. Atomic self--shadowing due to oblique--angle deposition enables the nanowires to grow continuously, to change direction abruptly, and to maintain constant cross--sectional diameter. The selective growth of nanowire assemblies on the top surfaces of both 1--D and 2--D arrays can be understood and predicted using simple geometrical shadowing equations.Comment: 17 pages, 9 figure

Environmental and Parental Influences on Offspring Health and Growth in Great Tits (Parus major)

PMCID: PMC3728352This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Examining the Relationship Between Trait Energy and Fatigue and Feelings of Depression in Young Healthy Adults

Depression is usually co-morbid with fatigue. However, we are unaware of studies exploring the relationship between trait energy and fatigue and feelings of depression. Recent evidence suggests that energy and fatigue are two distinct moods. PURPOSE: To examine the association between trait mental and physical energy and fatigue and feelings of depression, within an otherwise healthy young adult cohort. METHODS: Using a cross-sectional design, healthy respondents (n=495) completed a series of self-reported surveys measuring depression, lifestyle factors (sleep, diet, physical activity), and trait mental and physical energy and fatigue. Using a step-wise regression, we controlled for demographics and lifestyle and added trait mental and physical energy and fatigue to the second model. RESULTS: When trait mental and physical energy and fatigue were added to the models, the adjusted R2 increased by 5% (R2 = .112, F(13, 457) = 4.455, p \u3c .001). In our second model, trait mental fatigue was the only significant predictor of depressive mood states (Β = .159, t (457) = 2.512, p = 0.01). CONCLUSION: Young adults, who struggle with high mental fatigue, may also be more likely to report feeling depressed suggesting that fatigue and depression are co-morbid, while low energy and depression are not. Future research should aim to identify epigenetic/genetic factors that influence mental fatigue and how those may be associated with feelings of depression

The education effect: higher educational qualifications are robustly associated with beneficial personal and socio-political outcomes

Level of education is a predictor of a range of important outcomes, such as political interest and cynicism, social trust, health, well-being, and intergroup attitudes. We address a gap in the literature by analyzing the strength and stability of the education effect associated with this diverse range of outcomes across three surveys covering the period 1986–2011, including novel latent growth analyses of the stability of the education effect within the same individuals over time. Our analyses of the British Social Attitudes Survey, British Household Panel Survey, and International Social Survey Programme indicated that the education effect was robust across these outcomes and relatively stable over time, with higher education levels being associated with higher trust and political interest, better health and well-being, and with less political cynicism and less negative intergroup attitudes. The education effect was strongest when associated with political outcomes and attitudes towards immigrants, whereas it was weakest when associated with health and well-being. Most of the education effect appears to be due to the beneficial consequences of having a university education. Our results demonstrate that this beneficial education effect is also manifested in within-individual changes, with the education effect tending to become stronger as individuals age

Factors related to social disconnectedness among older unpaid caregivers

BackgroundOlder unpaid caregivers often face social isolation and loneliness, yet risk factors for social disconnection remain largely unexplored. As the demand for unpaid caregiving rises with an aging population, there is a need for targeted interventions to reduce social disconnectedness in this vulnerable group. This study aimed to identify determinants of social disconnectedness.MethodsData came from a sample of 701 unpaid caregivers aged 60 + who completed an internet-based survey assessing sociodemographics, health status, financial strain, social environment, and social disconnectedness. Four sequential regression models were used to identify the unique contribution of these factors related to social disconnectedness.ResultsThe first model (F = 3.94, p < 0.001, aR2 = 0.030) showed that older age (β = −0.15, p < 0.001), self-identifying as being Black (β = −0.10, p = 0.008), and higher education (β = −0.11, p = 0.041) were associated with lower social disconnectedness. Adding health factors in the second model (F = 15.33, p < 0.001, aR2 = 0.170) revealed that, in addition to age and education, chronic conditions (β = 0.12, p = 0.001) and possible depression (β = 0.35, p < 0.001) were associated with social disconnectedness. Including financial strain in the third model (F = 15.52, p < 0.001, aR2 = 0.212) showed that household income (β = −0.10, p = 0.012) and financial stress (β = 0.18, p < 0.001) were additionally associated with social disconnectedness. The final model (F = 23.42, p < 0.001, aR2 = 0.366) that included social environmental factors showed that age (β = −0.07, p = 0.033), possible depression (β = 0.22, p < 0.001), financial stress (β = 0.16, p < 0.001), and levels of community belonging (β = −0.20–0.58, p < 0.001) were significantly related to the risk of disconnectedness.ConclusionFindings highlight possible intervention targets that have the potential to reduce social disconnectedness among older unpaid caregivers. Particularly, addressing depressive symptoms, reducing financial stress, and enhancing community belonging are essential components to mitigate social disconnectedness risk in this population

Report of the Assay Guidance Workshop on 3-Dimensional Tissue Models for Antiviral Drug Development

The National Center for Advancing Translational Sciences (NCATS) Assay Guidance Manual (AGM) Workshop on 3D Tissue Models for Antiviral Drug Development, held virtually on 7-8 June 2022, provided comprehensive coverage of critical concepts intended to help scientists establish robust, reproducible, and scalable 3D tissue models to study viruses with pandemic potential. This workshop was organized by NCATS, the National Institute of Allergy and Infectious Diseases, and the Bill and Melinda Gates Foundation. During the workshop, scientific experts from academia, industry, and government provided an overview of 3D tissue models\u27 utility and limitations, use of existing 3D tissue models for antiviral drug development, practical advice, best practices, and case studies about the application of available 3D tissue models to infectious disease modeling. This report includes a summary of each workshop session as well as a discussion of perspectives and challenges related to the use of 3D tissues in antiviral drug discovery

An intervention to improve sleep for people living with dementia: Reflections on the development and co-production of DREAMS:START (Dementia RElAted Manual for Sleep: STrAtegies for RelaTives)

Many people living with dementia experience sleep disturbances yet there are currently no known effective, safe and acceptable treatments. Working with those affected by dementia to co-produce interventions is increasingly promoted to ensure that approaches are fit for purpose and meet the specific needs of target groups. Our aim here is to outline and reflect upon the co-production of Dementia RElAted Manual for Sleep; STrAtegies for RelaTives (DREAMS:START), an intervention to improve sleep for people living with dementia. Our co-production team brought together experts in the development and testing of manualised interventions in dementia care and cognitive behavioural interventions for sleep disorders, with Alzheimer’s Society research network volunteers (ASRNVs) whose lives had been affected by dementia. Here we present the process of intervention development. We worked with (ASRNVs) at each stage of the process bringing together ‘experts by training’ and ‘experts by experience’. (ASRNVs)shared their experiences of sleep disturbances in dementia and how they had managed these difficulties, as well as suggestions for how to overcome barriers to putting the intervention into practice; making (DREAMS:START) more accessible and usable for those in need. In this paper we discuss both the benefits and challenges to this process and what we can learn for future work. Collaborating with ‘experts by experience’ caring for a relative with sleep difficulties helped us to develop a complex intervention in an accessible and engaging way which we have tested and found to be feasible and acceptable in a randomised controlled trial