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To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.
An online survey was administered. Food insecurity was assessed using the 10-item Adult Food Security Survey Module. Sleep was measured using the 19-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health.
Twenty-two higher education institutions.
College students (n=17,686) enrolled at one of 22 participating universities.
Compared to food secure students, those classified as food insecure (43.4%) had higher PSQI scores indicating poorer sleep quality (p<.0001) and reported more days with poor mental (p<.0001) and physical (p<.0001) health as well as days when mental and physical health prevented them from completing daily activities (p<.0001). Food insecure students had higher adjusted odds of having poor sleep quality (adjusted odds ratio [AOR]:1.13, 95% confidence interval [CI]: 1.12-1.14), days with poor physical health (AOR: 1.01, 95% CI: 1.01-1.02), days with poor mental health (AOR: 1.03, 95% CI: 1.02-1.03), and days when poor mental or physical health prevented them from completing daily activities (AOR: 1.03, 95% CI: 1.02-1.04).
College students report high food insecurity which is associated with poor mental and physical health and sleep quality. Multi-level policy changes and campus wellness programs are needed to prevent food insecurity and improve student health-related outcomes.
We provide an overview of research that explains what oral corrective feedback is, how it can be expressed by teachers and peers, and how it may impact the language development process. We define oral corrective feedback as a negative evidence provided in response to learner error in an oral mode. A theoretical rationale for the role of feedback is described, drawing on research from both cognitive-interactionist and sociocultural explanations of second language learning through oral communication. Examples from numerous studies are incorporated to exemplify the range of ways feedback is provided on different types of linguistic errors. Research on the relative effectiveness of different types of feedback is reviewed, as well as empirical inquiry into the role of individual and social factors that can enhance or limit the effectiveness or oral feedback, concluding that oral corrective feedback is an important factor for language learning in instructed settings. We close with recommendations for research-driven teaching practice with respect to oral corrective feedback, cautioning that teachers need to consider learner experiences and expectations of feedback, their pedagogical objectives and approach, as well as learners developmental needs, self-monitoring skills, and ability to provide feedback to one another.
A strong role for gendered differences in communication has long been substantiated by sociolinguistic research. It is thus likely that gender also plays a role in how second language feedback is given by teachers and peers and how it is received by language learners. We provide an overview of the limited body of research examining the impact of gender on second language feedback. While several studies have shown differences in how learners receive oral feedback from male and female teachers and peers, conflicting results have been found, and little research has considered the role of gender in written corrective feedback. Further research is needed to clarify the role of gender on feedback, which cannot be understood without consideration of the complex interplay among learner gender, interlocutor gender, culture, task, and context. We call for (1) increased research in diverse educational and cultural contexts, (2) research that considers the role of gender in feedback provided in written as well as oral language use, (3) developmental studies investigating whether descriptive differences impact learning, and (4) consideration of the role of gender that goes beyond binary divisions, adopting qualitative and critical discourse analysis perspectives to understand how gendered language socializations impact second language feedback.
The COVID-19 pandemic and mitigation measures are likely to have a marked effect on mental health. It is important to use longitudinal data to improve inferences.
To quantify the prevalence of depression, anxiety and mental well-being before and during the COVID-19 pandemic. Also, to identify groups at risk of depression and/or anxiety during the pandemic.
Data were from the Avon Longitudinal Study of Parents and Children (ALSPAC) index generation (n = 2850, mean age 28 years) and parent generation (n = 3720, mean age 59 years), and Generation Scotland (n = 4233, mean age 59 years). Depression was measured with the Short Mood and Feelings Questionnaire in ALSPAC and the Patient Health Questionnaire-9 in Generation Scotland. Anxiety and mental well-being were measured with the Generalised Anxiety Disorder Assessment-7 and the Short Warwick Edinburgh Mental Wellbeing Scale.
Depression during the pandemic was similar to pre-pandemic levels in the ALSPAC index generation, but those experiencing anxiety had almost doubled, at 24% (95% CI 23–26%) compared with a pre-pandemic level of 13% (95% CI 12–14%). In both studies, anxiety and depression during the pandemic was greater in younger members, women, those with pre-existing mental/physical health conditions and individuals in socioeconomic adversity, even when controlling for pre-pandemic anxiety and depression.
These results provide evidence for increased anxiety in young people that is coincident with the pandemic. Specific groups are at elevated risk of depression and anxiety during the COVID-19 pandemic. This is important for planning current mental health provisions and for long-term impact beyond this pandemic.
The Social Vulnerability Index (SVI) is used to stratify community need for support during disasters. We evaluated relationships between the SVI and personal protective equipment shortages, COVID-19 caseload, and mortality rates in skilled nursing facilities (SNFs). In SVI quartile 4, personal protective equipment shortages were 2.3 times those in SNFs in quartile 1; COVID-19 case loads were 1.6 times those of SNFs in quartile 1; and mortality rates in were 1.9 times those of SNFs in SVI quartile 1.
Introduction: Children diagnosed with medulloblastoma (MB) who are refractory to upfront therapy or experience recurrence have very poor prognoses. Although phase I and phase II trials exist, these treatments bear significant treatment-related morbidity and mortality. Methods: A retrospective review of children diagnosed with a recurrence of MB from 2002 to 2015 at McMaster University was undertaken. Results: Recurrent disease in 10 patients involved leptomeningeal dissemination, with 3 experiencing local recurrence. In three recurrent patients the disease significantly progressed, and the children were palliated. The remaining 10 children underwent some form of salvage therapy, including surgical re-resection, radiation, and chemotherapy, either in isolation or in varying combinations. Of the 13 children experiencing treatment-refractory or recurrent disease, 4 are currently alive with a median follow-up of 38.5 months (75.5 months). Of the eight patients with molecular subgrouping data, none of the Wnt MB experienced recurrence. Conclusion: Recurrent MB carried a poor prognosis with a 5-year overall survival (OS) of 18.2% despite the administration of salvage therapy. The upfront therapy received, available treatment, and tolerability of the proposed salvage therapy resulted in significant heterogeneity in the treatment of our recurrent cohort.
As demonstrated by neuroimaging data, the human brain contains systems that control responses to threat. The revised Reinforcement Sensitivity Theory of personality predicts that individual differences in the reactivity of these brain systems produce anxiety and fear-related personality traits. Here we discuss some of the challenges in testing this theory and, as an example, present a pilot study that aimed to dissociate brain activity during pursuit by threat and goal conflict. We did this by translating the Mouse Defense Test Battery for human fMRI use. In this version, dubbed the Joystick Operated Runway Task (JORT), we repeatedly exposed 24 participants to pursuit and goal conflict, with and without threat of electric shock. The runway design of JORT allowed the effect of threat distance on brain activation to be evaluated independently of context. Goal conflict plus threat of electric shock caused deactivation in a network of brain areas that included the fusiform and middle temporal gyri, as well as the default mode network core, including medial frontal regions, precuneus and posterior cingulate gyrus, and laterally the inferior parietal and angular gyri. Consistent with earlier research, we also found that imminent threat activated the midbrain and that this effect was significantly stronger during the simple pursuit condition than during goal conflict. Also consistent with earlier research, we found significantly greater hippocampal activation during goal conflict than pursuit by imminent threat. In conclusion, our results contribute knowledge to theories linking anxiety disorders to altered functioning in defensive brain systems and also highlight challenges in this research domain.
The authors developed a practical and clinically useful model to predict the risk of psychosis that utilizes clinical characteristics empirically demonstrated to be strong predictors of conversion to psychosis in clinical high-risk (CHR) individuals. The model is based upon the Structured Interview for Psychosis Risk Syndromes (SIPS) and accompanying clinical interview, and yields scores indicating one's risk of conversion.
Baseline data, including demographic and clinical characteristics measured by the SIPS, were obtained on 199 CHR individuals seeking evaluation in the early detection and intervention for mental disorders program at the New York State Psychiatric Institute at Columbia University Medical Center. Each patient was followed for up to 2 years or until they developed a syndromal DSM-4 disorder. A LASSO logistic fitting procedure was used to construct a model for conversion specifically to a psychotic disorder.
At 2 years, 64 patients (32.2%) converted to a psychotic disorder. The top five variables with relatively large standardized effect sizes included SIPS subscales of visual perceptual abnormalities, dysphoric mood, unusual thought content, disorganized communication, and violent ideation. The concordance index (c-index) was 0.73, indicating a moderately strong ability to discriminate between converters and non-converters.
The prediction model performed well in classifying converters and non-converters and revealed SIPS measures that are relatively strong predictors of conversion, comparable with the risk calculator published by NAPLS (c-index = 0.71), but requiring only a structured clinical interview. Future work will seek to externally validate the model and enhance its performance with the incorporation of relevant biomarkers.
Time discounting – the degree to which individuals value current more than future resources – is an important component of natural resource conservation. As a response to climate change impacts in island communities, such as sea level rise, discounting the future can be a rational response due to increased stress on natural resources and uncertainty about whether future generations will have the same access to the same resources. By incorporating systematic responses of discount rates into models of resource conservation, realistic expectations of future human responses to climate change and associated resource stress may be developed. This paper illustrates the importance of time discounting through a theoretical agent-based model of resource use in island communities. A discount rate change can dramatically change projections about future migration and community-based conservation efforts. Our simulation results show that an increase in discount rates due to a credible information shock about future climate change impacts is likely to speed resource depletion. The negative impacts of climate change are therefore likely to be underestimated if changes in discount rates and emerging migration patterns are not taken into account.
CHINA'S AND LATIN AMERICA'S HYDROCARBONS SECTORS
Rebecca Ray, Research Fellow At The Boston University Global Economic Governance Initiative,
Adam Chimienti, PhD Candidate At The Institute Of China Asia Pacific Studies, National Sun Yat-Sen University In Taiwan
Ecuador's “China boom” encompasses investment, finance and trade and is overwhelmingly concentrated in the oil sector. Ecuador has established a top-level legal framework to limit the social, environmental and economic risks associated with this sector, although this framework is facing increasing pressure from a diverse array of interests. After an examination of the Ecuadoran economy and its general engagement with China, this chapter performs a case study on the experiences of Chinese state- owned Andes Petroleum and PetroOriental, in order to draw lessons for future Chinese investments for the upcoming expansion of Andes Petroleum's concessions into the Ecuadoran Amazon – an expansion that may test both Ecuador's legal framework and Andes's corporate goodwill.
We find that the record of Andes Petroleum and PetroOriental shows they have had relatively positive experiences in Ecuador to date when compared to other domestic and foreign- owned firms in the sector. However, the social and environmental landscapes in the new concession zones are vastly different from where these firms are currently located. Furthermore, this expansion is the first new concession under Ecuador's recent law on prior consultation, and problems have already arisen as to how the law has been applied. How the government, Andes Petroleum and civil society handle this situation will determine whether the Ecuador– China relationship becomes a model of responsible oil production or whether it will betray the vision behind Ecuador's impressive legal framework. Special attention should be paid to transparency and public accountability for all actors involved: government, civil society and the oil companies themselves.
Instruction: Ecuador, Oil and the Challenge of Diversification
Oil has been paramount in Ecuador's economy since its discovery there in the 1970s. It quickly displaced bananas as the country's most important export, as Figure 4.1 shows, and has dominated exports ever since. In 2012, petroleum exports represented nearly 60 percent of all exports and over 10 percent of national GDP.
As the older segment of our population grows, cognitive decline and dementia will increase in prevalence, with Alzheimer's disease (AD) as the cause in most cases. Until a cure exists, prevention through the identification and manipulation of modifiable risk factors for dementia, in general, or AD, in particular, will be our only means of reducing dementia prevalence or delaying its onset. Furthermore, it is likely that eventual treatments for AD, when available, will depend on the ability to identify individuals at greatest risk for developing AD. Sleep disturbances are common in later life – roughly half of older adults experience regular insomnia (Ohayon, 2002) and about as many have some degree of sleep-disordered breathing (SDB) (Ancoli-Israel et al., 1991) – and accumulating evidence suggests they may contribute to cognitive decline, at least in part, by promoting the development of AD pathology (Spira et al., 2014). Because they are treatable, sleep disturbances are an important potential target for ongoing study in AD prevention. Moreover, understanding the mechanisms underlying an effect of sleep on subsequent cognitive decline and AD would allow for better identification of opportunities and optimal timing for treatment of sleep disorders, and ultimately perhaps, AD prevention.
This paper presents the first major data release and survey description for the ANU WiFeS SuperNovA Programme. ANU WiFeS SuperNovA Programme is an ongoing supernova spectroscopy campaign utilising the Wide Field Spectrograph on the Australian National University 2.3-m telescope. The first and primary data release of this programme (AWSNAP-DR1) releases 357 spectra of 175 unique objects collected over 82 equivalent full nights of observing from 2012 July to 2015 August. These spectra have been made publicly available via the WISEREP supernova spectroscopy repository.
We analyse the ANU WiFeS SuperNovA Programme sample of Type Ia supernova spectra, including measurements of narrow sodium absorption features afforded by the high spectral resolution of the Wide Field Spectrograph instrument. In some cases, we were able to use the integral-field nature of the Wide Field Spectrograph instrument to measure the rotation velocity of the SN host galaxy near the SN location in order to obtain precision sodium absorption velocities. We also present an extensive time series of SN 2012dn, including a near-nebular spectrum which both confirms its ‘super-Chandrasekhar’ status and enables measurement of the sub-solar host metallicity at the SN site.
Most cocoa farms in Ghana are cultivated in complex agroforest systems, with plant growth and cocoa productivity being affected. The objective of this study was to investigate how shade trees affect cocoa yield, temperature and soil nutrients in low-input cocoa systems. Establishing plots on 24 farms in four locations (districts) in Ghana, we assessed the influence of varying canopy cover and fertilization on cocoa yields. Results showed no relationship between canopy cover and cocoa yields in the light crop season (February to August). For the main crop season (September to January), there was an interaction between shade and yields: Yields were higher on no-shade plots than on shaded plots in two districts, whilst there were no differences at the two other districts possibly due to differences in precipitation and soil nutrient status. On the other hand, there was a positive effect of increased canopy cover on yields within the shaded plots. Soil nutrient analyses revealed no significant differences between shaded and no-shade plots and adequate levels of N, K+, Fe2+, Cu2+ and Zn2+ were recorded. However, soil contents of P, C, Mg2+ and Ca2+ were below recommended values. Peak temperatures recorded in the cocoa canopies were above the recommended range for this species. Although shade trees had a slight modifying effect on peak temperatures, the magnitude appeared too small to have any practical effects.
We present an analysis of changes of state, pressures and conservation responses over 20 years in the Tanzanian portion of the Coastal Forests of Eastern Africa biodiversity hotspot. Baseline data collected during 1989–1995 are compared with data from a synthesis of recently published papers and reports and new field work carried out across the region during 2010–2014. We show that biodiversity endemism values are largely unchanged, although two new species (amphibian and mammal) have been named and two extremely rare tree species have been relocated. However, forest habitat continues to be lost and degraded, largely as a result of agricultural expansion, charcoal production to supply cities with cooking fuel, logging for timber and cutting of wood for firewood and building poles. Habitat loss is linked to an increase in the number of species threatened over time. The government-managed forest reserve network has expanded slightly but has low effectiveness. Three forest reserves have been upgraded to National Parks and Nature Reserves, which have stricter protection and more effective enforcement. There has also been rapid development of village-owned forest reserves, with more than 140 now existing; although usually small, they are an important addition to the areas being managed for sustainable resource use, and also provide tangible benefits to local people. Human-use pressures remain intense in many areas, and combined with emerging pressures from mining, gas and oil exploration, many endemic species remain threatened with extinction.
In this commentary we focus on individual differences in proposed mechanisms underlying arousal-based enhancement of prioritized stimuli. We discuss the potential of genotyping studies for examining effects of noradrenergic processes on stimulus prioritization in humans and stress the importance of potential individual differences in the activity of specific receptor subtypes in hotspot processes proposed by the GANE model.
The prevalence of both type II diabetes mellitus (DM) and cognitive impairment is high and increasing in older adults. We examined the extent to which DM diagnosis was associated with poorer cognitive performance and dementia diagnosis in a population-based cohort of US older adults.
We studied 7,606 participants in the National Health and Aging Trends Study, a nationally representative cohort of Medicare beneficiaries aged 65 years and older. DM and dementia diagnosis were based on self-report from participants or proxy respondents, and participants completed a word-list memory test, the Clock Drawing Test, and gave a subjective assessment of their own memory.
In unadjusted analyses, self-reported DM diagnosis was associated with poorer immediate and delayed word recall, worse performance on the Clock Drawing Test, and poorer self-rated memory. After adjusting for demographic characteristics, body mass index, depression and anxiety symptoms, and medical conditions, DM was associated with poorer immediate and delayed word recall and poorer self-rated memory, but not with the Clock Drawing Test performance or self-reported dementia diagnosis. After excluding participants with a history of stroke, DM diagnosis was associated with poorer immediate and delayed word recall and the Clock Drawing Test performance, and poorer self-rated memory, but not with self-reported dementia diagnosis.
In this recent representative sample of older Medicare enrollees, self-reported DM was associated with poorer cognitive test performance. Findings provide further support for DM as a potential risk factor for poor cognitive outcomes. Studies are needed that investigate whether DM treatment prevents cognitive decline.