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Longitudinal neural connection detection using a ferritin-encoding adeno-associated virus vector and in vivo MRI method
Get PDFThe investigation of neural circuits is important for interpreting both healthy brain function and psychiatric disorders. Currently, the architecture of neural circuits is always investigated with fluorescent protein encoding neurotropic virus and ex vivo fluorescent imaging technology. However, it is difficult to obtain a whole-brain neural circuit connection in living animals, due to the limited fluorescent imaging depth. Herein, the non-invasive, whole-brain imaging technique of MRI and the hypotoxicity virus vector AAV (adeno-associated virus) were combined to investigate the whole-brain neural circuits in vivo. AAV2-retro are an artificially-evolved virus vector that permits access to the terminal of neurons and retrograde transport to their cell bodies. By expressing the ferritin protein which could accumulate iron ions and influence the MRI contrast, the neurotropic virus can cause MRI signal changes in the infected regions. For mice injected with the ferritin-encoding virus vector (rAAV2-retro-CAG-Ferritin) in the caudate putamen (CPu), several regions showed significant changes in MRI contrasts, such as PFC (prefrontal cortex), HIP (hippocampus), Ins (insular cortex) and BLA (basolateral amygdala). The expression of ferritin in those regions were also verified with ex vivo fluorescence imaging. In addition, we demonstrated that changes in T2 relaxation time could be used to identify the spread area of the virus in the brain over time. Thus, the neural connections could be longitudinally detected with the in vivo MRI method. This novel technique could be utilized to observe the viral infection long-term and detect the neural circuits in a living animal.
Keywords: Neural circuit; Ferritin; In vivo MRI; rAAV2-retro; Immunohistochemistry
Older women living alone in the UK: Does their health and wellbeing differ from those who cohabit?
Get PDFWith an increased prevalence of people living alone in later life, understanding the health and wellbeing of older women living alone in the UK is an important area of research. Little is known about health and wellbeing in this population and whether they differ from those who cohabit. This paper fills this research gap. Analysis was undertaken of Wave 8 of the Understanding Society Household Panel Survey, including variables such as internet use and volunteering. Differences were found between those who live alone and cohabit. Volunteering was a predictor of better health outcomes for those who lived alone but not for those who cohabit, despite similar rates of volunteering. Internet use predicted some better health outcome for those who cohabit but poorer for those who live alone. This suggests lifestyle factors vary in how they affect the health and wellbeing of older women, depending on cohabitation status
Features of mobile apps for people with autism in a post covid-19 scenario: current status and recommendations for apps using AI
Get PDFThe new ‘normal’ defined during the COVID-19 pandemic has forced us to re-assess how people with special needs thrive in these unprecedented conditions, such as those with Autism
Spectrum Disorder (ASD). These changing/challenging conditions have instigated us to revisit the usage of telehealth services to improve the quality of life for people with ASD. This study aims to identify mobile applications that suit the needs of such individuals. This work focuses on identifying features of a number of highly-rated mobile applications (apps) that are designed to assist people with ASD, specifically those features that use Artificial Intelligence (AI) technologies. In this study, 250 mobile apps have been retrieved using keywords such as autism, autism AI, and autistic. Among 250 apps, 46 were identified after filtering out irrelevant apps based on defined elimination criteria such as ASD common users, medical staff, and non-medically trained people interacting with people with ASD. In order to review common functionalities and features, 25 apps were downloaded and analysed based on eye tracking, facial expression analysis, use of 3D cartoons, haptic feedback, engaging interface, text-to-speech, use of Applied Behaviour Analysis therapy,
Augmentative and Alternative Communication techniques, among others were also deconstructed.
As a result, software developers and healthcare professionals can consider the identified features in designing future support tools for autistic people. This study hypothesises that by studying these current features, further recommendations of how existing applications for ASD people could be enhanced using AI for (1) progress tracking, (2) personalised content delivery, (3) automated reasoning, (4) image recognition, and (5) Natural Language Processing (NLP). This paper follows the PRISMA methodology, which involves a set of recommendations for reporting systematic reviews and meta-analyses
The use of GPR and microwave tomography for the assessment of the internal structure of hollow trees
Get PDFInternal decays in trees can rapidly escalate into a full decomposition of the inner structural layer, i.e., the “heartwood” layer, due to the action of aggressive diseases and fungal infections. This process leads to the formation of big cavities and hollows, which remain surrounded by the sapwood layer only. Estimating the thickness of the sapwood layer with a high degree of accuracy is therefore crucial for a correct assessment of the structural integrity of hollow trees, as well as an extremely challenging task. In this context, ground-penetrating radar (GPR) has proven effective in providing details of the internal structure of trees. Nevertheless, the existing GPR processing methods still offer limited information on their internal configuration. This study investigates the effectiveness of GPR enhanced by a microwave tomography inversion approach in the assessment of hollow trees. To this aim, a living hollow tree was investigated by performing a set of pseudo-circular scans along the bark perimeter with a hand-held common-offset GPR system. The tree was then felled, and sections were cut for testing purposes. A dedicated data processing framework was developed and tested through numerical simulations of hollow tree sections. The internal structure of the real trunk was therefore reconstructed via a tomographic imaging approach and the outcomes were quantitatively analysed by way of comparison with the real sections’ main geometric features. The tomographic approach has proven very accurate in locating the sapwood-cavity interface as well as in the evaluation of the sapwood layer thickness, with a centimetre prediction accuracy
Individual factors in the relationship between stress and resilience in mental health psychology practitioners during the COVID-19 pandemic
Get PDFUtilising an online survey, this study aimed to investigate the concurrent effects of pre-pandemic and COVID-19 stress on resilience in Mental Health Psychology Practitioners (MHPPs) (n= 325), focusing on the mediation effects of specific individual factors. Optimism, burnout, and secondary traumatic stress, but not coping strategies, self-efficacy or self-compassion, mediated both the relationship between pre-pandemic stress and resilience and COVID-19 stress and resilience. Increased job demands caused by the pandemic, the nature and duration of COVID-19 stress may explain this finding. Training and supervision practices can help MHPPs deal with job demands under circumstances of general and extreme stress
Home-microgrid energy management strategy considering EV’s participation in DR
Get PDFElectric vehicles (EVs) have a lot of potential to play an essential role in the smart power grid. EVs not only can reduce the amount of emission yielded from fossil fuels but also can be considered as an energy storage system (ES) and a backup system. EVs could support the demand response (DR) strategy that is considered as utmost importance to shift electricity demand in peak hours. This article aims to assess the impact of the presence of EV on DR strategy in a home-microgrid (H-MG). In order to reach the optimal set point, our energy management system (EMS) has been merged with differential evolution (DE) method. The results were auspicious and showed that the proposed method could decrease market clearing price (MCP) by 26% and increase the performance of DR by 17%
Digital transformation of Higher Education: what’s next?
Get PDFThe Covid-19 pandemic has exponentially accelerated digital transformation within the higher education sector, and has given us the opportunity to re-think and re-shape how we do things. This article explores what true digital transformation looks like, where it could potentially lead us and what universities of the future might look like
Variations of brain functional connectivity in alcohol-preferring and non-preferring rats with consecutive alcohol training or acute alcohol administration
Get PDFAlcohol addiction is regarded as a series of dynamic changes to neural circuitries. A comparison of the global network during different stages of alcohol addiction could provide an efficient way to understand the neurobiological basis of addiction. Two animal models (P-rats screened from an alcohol preference family, and NP-rats screened from an alcohol non-preference family) were trained for alcohol preference with a two-bottle free choice method for 4 weeks. To examine the changes in the neural response to alcohol during the development of alcohol preference and acute stimulation, different trials were studied with resting-state fMRI methods during different periods of alcohol preference. The correlation coefficients of 28 regions in the whole brain were calculated, and the results were compared for alcohol preference related to the genetic background/training association. The variety of coherence patterns was highly related to the state and development of alcohol preference. We observed significant special brain connectivity changes during alcohol preference in P-rats. The comparison between the P- and NP-rats highlighted the role of genetic background in alcohol preference. The results of this study support the alterations of the neural network connection during the formation of alcohol preference and confirm that alcohol preference is highly related to the genetic background. This study could provide an effective approach for understanding the neurobiological basis of alcohol addiction
Use, abuse, and associated impacts of alcohol on health and crimes in Nepal
Get PDFAlcohol is a socially acceptable and widely available drink in most countries. Its excessive consumption is linked to various health issues, increase in crime rate and even loss of life. This puts heavy strain in low-income countries like Nepal where full medical facilities are still out of reach for most of the population. Therefore, in this article, we have provided an overview of (i) the effect of alcohol on public health; (ii) trend data on alcohol seizures; (iii) alcohol (including methanol) positive forensic cases; and (iv) other alcohol associated crimes. Our analysis is drawn from a range of data types and sources, triangulating the collected data with alcohol specific academic and grey literature, a survey with students and insights from stakeholder engagements in Nepal. We have shown that alcohol has been associated with a range of health-related issues and crime types in Nepal. For example, alcohol was the most mentioned compound in the student survey (50.7%; n=418) followed by other drugs in Drugs Facilitated Sexual Assault cases. We have also discussed issues with adulteration, surrogates and sub-standard alcohol, highlighting the need for strict monitoring, regulations and extra vigilance about quality control of alcohol in circulation. This should be supported by public awareness campaigns on the use, abuse and impacts of alcohol
A Scenario-based Management of Water Resources and Supply Systems Using a Combined System Dynamics and Compromise Programming Approach
Get PDFLong-term sustainability in water supply systems is a major challenge due to water resources depletion, climate change and population growth. This paper presents a scenario-based approach for performance assessment of intervention strategies in water resources and supply systems (WRSS). A system dynamics (SD) approach is used for modelling the key WRSS components and their complex interactions with natural and human systems and is combined with a multi-criteria decision analysis for sustainability performance assessment of strategies in each scenario. The scenarios combine population growth rates with groundwater extraction limits against two types of intervention strategies. The methodology was demonstrated on a real-world case study in Iran. Results show scenario-based analysis can provide suitable strategies leading to long-term sustainability of water resources for each scenario externally imposed on the water systems. For scenarios with either no threshold or one threshold of groundwater extraction limit, the only effective strategies for sustainable groundwater preservation are those involving agricultural water demand decrease with an average recovery rate of 130% for groundwater resources while other strategies of agricultural groundwater abstraction (constant/increase rates) fail to sustainably recover groundwater resources. However, all analysed strategies can provide sustainability of water resources with an average recovery rate of 33% for groundwater resources only when scenarios with two threshold limits are in place. The impact of scenarios with population growth rates on groundwater conservation is quite minor with an average recovery rate of 11% compared to scenarios of groundwater extraction limits with an average recovery rate of 79% between no threshold and two threshold limits