Farmers, farm workers and work-related stress

This research explores the ways in which stress affects farming communities, how this has changed in recent years, and the degree to which work-related aspects of stress may be assuaged by support interventions. A qualitative case study research approach was employed to address these issues, involving 60 interviews in five locations across England and Wales.In examining farming stress, a distinction is made between its intrinsic, extrinsic and workrelated dimensions. Whileinterviewees tended to associate day-to-day worries and acute stress with farming’s intrinsic demands (such as disease and adverse weather conditions), external causes of tension (such as competition and regulation), together with worries about finances and family, were associated with more sustained anxieties. By contrast, work-related aspects of farming stress, such as workload issues and farming practices, involved a combination of physical and mental health effects.Notably, work-related and extrinsic dimensions of stress have increased in recent years in relation to organisational and policy shifts, price fluctuations, mounting paperwork demands, workload intensification, and changes in agricultural regulation. These have prompted an escalation in the aspects of their work that farming communities feel powerless to control, and represent a major area for policy intervention. Principal farmers displayed the most visible manifestations of stress, linked at once to the intrinsic, extrinsic and workrelated dimensions of their work. By contrast, family farm workers and labourers often lacked autonomy over the way they worked, and work-related aspects of stress concerning workload and organisation made up a greater part of their experience. Increased paperwork demands emerged as a major cause of stress among interviewees, particularly forfarmers and their wives, who struggled to balance these with traditional farming priorities. Differences between farmswere also influential in explaining stress. Livestock farming embodied intrinsic pressures relating to stock crises and the unpredictability of animals, but more recently has come under intense economic pressure, prompting a rationalisation of working practices. Arable farmers found the organisation of activities, such as harvesting and planting, in a context of reduced and increasingly contractual workforces particularly challenging. Mixed farmers faced the dual stresses of balancing work activities with conflicting timetables, and the paperwork demands of a complex portfolio of farming. Smaller farms were struggled with intensified workloads, while larger enterprises had to comply with the demands of more inspection regimes.Support agencies need to overcome the stigma attached to asking for help among farming communities and offer a rangeof responsive and proactive services. Locally based support was more likely to be used and trusted, although concernsabout client confidentiality might deter those most in need from seeking help. Where existing local networks wereestablished, there was a strong argument for providers to plug into these and work towards publicising their efforts to ensure that support is provided most effectively. Critically, support must be multidimensional, reflecting the wide range of stressors and their impacts among farming communities

Changing children’s intergroup attitudes towards refugees: Testing different models of extended contact

The present research evaluated an intervention, derived from the "extended contact hypothesis," which aimed to change children's intergroup attitudes toward refugees. The study (n=253) tested 3 models of extended contact among 5- to 11-year-old children: dual identity, common ingroup identity, and decategorization. Children read friendship stories based upon these models featuring in- and outgroup members. Outgroup attitudes were significantly more positive in the extended contact conditions, compared with the control, and this was mediated by "inclusion of other in self." The dual identity intervention was the most effective extended contact model at improving outgroup attitudes. The effect of condition on outgroup intended behavior was moderated by subgroup identity. Implications for theoretically based prejudice-reduction interventions among children are discussed

Unwed Mothers‘ Private Safety Nets and Children‘s Socioemotional Wellbeing

Using longitudinal data from the Fragile Families and Child Wellbeing Study (N = 1,162) and the National Evaluation of Welfare-to-Work Strategies (N = 1,308), we estimate associations between material and instrumental support available to unwed, low-income mothers and young children‘s socioemotional wellbeing. In multivariate OLS models, we find mothers‘ available support is negatively associated with children‘s behavior problems and positively associated with prosocial behavior in both datasets; associations between available support and children‘s internalizing and prosocial behaviors attenuate but remain robust in residualized change models. Overall, results support the hypothesis that the availability of a private safety net is positively associated with children‘s socioemotional adjustment.

Medics: Medical Decision Support System for Long-Duration Space Exploration

The Autonomous Medical Operations (AMO) group at NASA Ames is developing a medical decision support system to enable astronauts on long-duration exploration missions to operate autonomously. The system will support clinical actions by providing medical interpretation advice and procedural recommendations during emergent care and clinical work performed by crew. The current state of development of the system, called MedICS (Medical Interpretation Classification and Segmentation) includes two separate aspects: a set of machine learning diagnostic models trained to analyze organ images and patient health records, and an interface to ultrasound diagnostic hardware and to medical repositories. Three sets of images of different organs and medical records were utilized for training machine learning models for various analyses, as follows: 1. Pneumothorax condition (collapsed lung). The trained model provides a positive or negative diagnosis of the condition. 2. Carotid artery occlusion. The trained model produces a diagnosis of 5 different occlusion levels (including normal). 3. Ocular retinal images. The model extracts optic disc pixels (image segmentation). This is a precursor step for advanced autonomous fundus clinical evaluation algorithms to be implemented in FY20. 4. Medical health records. The model produces a differential diagnosis for any particular individual, based on symptoms and other health and demographic information. A probability is calculated for each of 25 most common conditions. The same model provides the likelihood of survival. All results are provided with a confidence level. Item 1 images were provided by the US Army and were part of a data set for the clinical treatment of injured battlefield soldiers. This condition is relevant to possible space mishaps, due to pressure management issues. Item 2 images were provided by Houston Methodist Hospital, and item 3 health records were acquired from the MIT laboratory of computational physiology. The machine learning technology utilized is deep multilayer networks (Deep Learning), and new models will continue to be produced, as relevant data is made available and specific health needs of astronaut crews are identified. The interfacing aspects of the system include a GUI for running the different models, and retrieving and storing data, as well as support for integration with an augmented reality (AR) system deployed at JSC by Tietronix Software Inc. (HoloLens). The AR system provides guidance for the placement of an ultrasound transducer that captures images to be sent to the MedICS system for diagnosis. The image captured and the associated diagnosis appear in the technicians AR visual display

Formative assessment and feedback for learning in higher education: A systematic review

Feedback is an integral part of education and there is a substantial body of trials exploring and confirming its effect on learning. This evidence base comes mostly from studies of compulsory school age children; there is very little evidence to support effective feedback practice at higher education, beyond the frameworks and strategies advocated by those claiming expertise in the area. This systematic review aims to address this gap. We review causal evidence from trials of feedback and formative assessment in higher education. Although the evidence base is currently limited, our results suggest that low stakes-quizzing is a particularly powerful approach and that there are benefits for forms of peer and tutor feedback, although these depend on implementation factors. There was mixed evidence for praise, grading and technology-based feedback. We organise our findings into several evidence-grounded categories and discuss the next steps for the field and evidence-informed feedback practice in universities

A Septin from the Filamentous Fungus A. nidulans Induces Atypical Pseudohyphae in the Budding Yeast S. cerevisiae

BACKGROUND: Septins, novel cytoskeletal proteins, form rings at the bases of emerging round buds in yeasts and at the bases of emerging elongated hyphal initials in filamentous fungi. METHODOLOGY/PRINCIPAL FINDINGS: When introduced into the yeast Saccharomyces cerevisiae, the septin AspC from the filamentous fungus Aspergillus nidulans induced highly elongated atypical pseudohyphae and spore-producing structures similar to those of hyphal fungi. AspC induced atypical pseudohyphae when S. cerevisiae pseudohyphal or haploid invasive genes were deleted, but not when the CDC10 septin gene was deleted. AspC also induced atypical pseudohyphae when S. cerevisiae genes encoding Cdc12-interacting proteins Bem4, Cla4, Gic1 and Gic2 were deleted, but not when BNI1, a Cdc12-interacting formin gene, was deleted. AspC localized to bud and pseudohypha necks, while its S. cerevisiae ortholog, Cdc12, localized only to bud necks. CONCLUSIONS/SIGNIFICANCE: Our results suggest that AspC competes with Cdc12 for incorporation into the yeast septin scaffold and once there alters cell shape by altering interactions with the formin Bni1. That introduction of the A. nidulans septin AspC into S. cerevisiae induces a shift from formation of buds to formation of atypical pseudohyphae suggests that septins play an important role in the morphological plasticity of fungi

Use of Botulinum Toxin in Central Nervous System Disorders

Botulinum toxin is a neurotoxin that is produced by Clostridium botulinum. At one time, this toxin was only seen as a lethal substance, but now scientists have found many medical uses for it. There are eight distinctive toxins (A-H), but only A and B currently have clinical uses. Botulinum toxin A has three different versions that are U.S. Food and Drug Administration (FDA) approved: onabotulinumtoxinA (Botox®), abobotulinumtoxinA (Dysport®), incobotulinumtoxinA (Xeomin®). Botulinum toxin B is also FDA approved as rimabotulinumtoxinB (Myobloc®). The toxins work by inducing reversible, local, dose-dependent chemodenervation by inhibiting acetylcholine release from presynaptic terminals. These drugs are approved to treat many different types of disorders but have found significant use for the treatment of migraines, dystonias and cerebral palsy. Botulinum toxin has proven to be efficacious in prophylactically treating those patients with migraines who have failed other pharmacologic and nonpharmacologic treatments. Botulinum toxin is also FDA approved for the treatment of dystonias; more specifically, all three types of botulinum toxin A and the rimabotulinumtoxin B have FDA approval for the treatment of cervical dystonia. Perhaps the most important use for botulinum toxin is in patients with cerebral palsy. Botulinum toxin is efficacious in patients with upper limb spasticity who are not good surgical candidates. It also proves useful as an adjunct to physiotherapy in these patients. This can help reduce or slow progression in patients with cerebral palsy. Exercise has been shown to be an efficacious treatment in patients with migraines, dystonias and cerebral palsy. Further research is necessary to determine the potential benefits the combination of exercise and botulinum toxin can have in these patients. While the high cost of botulinum toxin might deter some patients, it is a good option for those that have exhausted other options or are not good candidates for surgery

Early recognition of multiple sclerosis using natural language processing of the electronic health record

Background Diagnostic accuracy might be improved by algorithms that searched patients’ clinical notes in the electronic health record (EHR) for signs and symptoms of diseases such as multiple sclerosis (MS). The focus this study was to determine if patients with MS could be identified from their clinical notes prior to the initial recognition by their healthcare providers. Methods An MS-enriched cohort of patients with well-established MS (n = 165) and controls (n = 545), was generated from the adult outpatient clinic. A random sample cohort was generated from randomly selected patients (n = 2289) from the same adult outpatient clinic, some of whom had MS (n = 16). Patients’ notes were extracted from the data warehouse and signs and symptoms mapped to UMLS terms using MedLEE. Approximately 1000 MS-related terms occurred significantly more frequently in MS patients’ notes than controls’. Synonymous terms were manually clustered into 50 buckets and used as classification features. Patients were classified as MS or not using Naïve Bayes classification. Results Classification of patients known to have MS using notes of the MS-enriched cohort entered after the initial ICD9[MS] code yielded an ROC AUC, sensitivity, and specificity of 0.90 [0.87-0.93], 0.75[0.66-0.82], and 0.91 [0.87-0.93], respectively. Similar classification accuracy was achieved using the notes from the random sample cohort. Classification of patients not yet known to have MS using notes of the MS-enriched cohort entered before the initial ICD9[MS] documentation identified 40% [23–59%] as having MS. Manual review of the EHR of 45 patients of the random sample cohort classified as having MS but lacking an ICD9[MS] code identified four who might have unrecognized MS. Conclusions Diagnostic accuracy might be improved by mining patients’ clinical notes for signs and symptoms of specific diseases using NLP. Using this approach, we identified patients with MS early in the course of their disease which could potentially shorten the time to diagnosis. This approach could also be applied to other diseases often missed by primary care providers such as cancer. Whether implementing computerized diagnostic support ultimately shortens the time from earliest symptoms to formal recognition of the disease remains to be seen

Redesigning the Basic Communication Course: A Case Study

In the competitive environment of higher education, the basic communication course is under pressure to defend its place in the curriculum. One way to do this is to engage in a course redesign program. In this case study, we detail our experience taking part in such a program to (re)evaluate our course. Over the course of a year, we collected active participation data and conducted a series of three qualitative surveys that focused on student perceptions of our course. In doing so, we explored the ways in which the basic communication course can take advantage of course redesign efforts. Specifically, we found that we were better able to (1) articulate our unique course identity to constituents across the campus as we (2) developed a more holistic view of the ways we were (or were not) achieving our stated learning outcomes. Based on these findings, we developed practical implications including explicating how a well-planned course redesign program can be used in the basic communication course, the need for “collaborative consistency” when redesigning a course, and the imperative to incorporate student voice into redesign efforts