Trends in Farm Sector Output and Exports

Over time, the size of the farm sector has fallen relative to other sectors in the economy. However, the sector still has an important influence on the nation's pattern of economic growth and its exports. Over the last couple of decades the composition of farm production has moved towards crops and away from livestock. This has had an impact on how drought affects overall farm output, as crop production tends to fall sharply and then recover quickly when the drought breaks, while livestock production is relatively more resilient in the short term but is slower to recover.farm output; exports; drought; structural change

An ecosystem approach to knowledge management: Case studies of two Australian SMEs

This study is centred on the premise that knowledge is personalised information which can be enriched through the process of learning, then shared and applied to practical situations to attain value. To highlight the complex nature of knowledge management (KM) as a set of practices and aimed to enhance collaboration, the concept of a Collaborative Leaning Ecosystem (CLES) is presented as holistic approach toward improving practical learning environments. In view of the pressing need for better KM in small-to-medium (SME) enterprises, the CLES framework is used to examine the KM positions of two Australian SMEs. Viewing each case as an 'organisational ecosystem', the holistic assessment of each SME exposes certain KM inefficiencies unique to the firm, which are addressed through a set of actionable KM strategies for improving the relationships among the components interacting within each organisational ecosystem

MATA-RL: Continuous Reaction Wheel Attitude Control Using the MATA Simulation Software and Reinforcement Learning

As earth observation satellites, Diwata microsatellites need to have a high degree of target pointing accuracy. Additionally, being in low orbit, they could experience strong external disturbances. Current methods for attitude control have proven to be effective. However, they are prone to changes in control and mass parameters. In this paper, we explore using Deep Reinforcement Learning (RL) for attitude control. This paper also leverages on Diwata’s simulator, MATA: Mission, Attitude, and Telemetry Analysis (MATA) software, in training the RL agent. We implemented two RL algorithms: Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC). We then simulated different scenarios and compared the performance of these algorithms to that of Diwata’s current attitude controller, the Proportional-Integral-Derivative (PID) control. Our results show that reinforcement learning can outperform traditional controllers in terms of settling time, overshoot, and stability. The results of this research will help solve problems in conventional attitude controllers and enable satellite engineers to design a better Attitude Determination and Control System (ADCS)

AN EXAMINATION OF SINGAPOREAN VIDEO GAMERS' PERCEPTIONS OF FEMALE VIDEO GAME CHARACTERS

Master'sMASTER OF ART

In Patients Post-stroke, Is Implantable Peroneal Nerve E-stim More Effective Than Transcutaneous E-stim In Improving Foot Clearance?

A cerebrovascular accident (CVA) more commonly known as a stroke, is a life changing event resulting in impairments that decrease the quality of life.1 Over 795,000 people each year suffer from a stroke and are affected by resulting impairments and disabilities, of these impairments 20% of those affected by a stroke will acquire foot drop.2 Foot drop is due to paralysis or weakness of the ankle dorsiflexor muscles3,4 and therefore describes the inability to actively raise the toes up required to clear the ground during swing phase, resulting in the toes to drag. Foot drop not only causes abnormal gait patterns and compensations, but increases the risk of falls, increases energy expenditure, and potential orthopedic issues up the chain.5-8 Literature has shown the use of ankle foot orthoses (AFOs), transcutaneous functional electrical stimulation (FES), and implantable FES to be effective interventions used to decrease the severity of foot drop in patients post CVA. 8,9 Implantable FES offers an alternative to the transcutaneous e-stim by allowing patients to have a more permanent device to address their foot drop impairment that is more convenient and eliminates the need for daily application. Furthermore, there has been no research in the comparison of transcutaneous FES to implantable FES and their effectiveness on foot clearance during gait for individuals post CVA

The mapping of emotions in a respiratory illness: transferability of illness experience from Pulmonary Arterial Hypertension to COVID-19

Objectives: Covid-19 poses an existential threat that has increased death anxiety at the individual and societal levels. In prior work, we have examined existential conversations in patients with Pulmonary Arterial Hypertension (PAH), an incurable respiratory disease with symptom overlap. In this mixed method study, we analyse the emotional qualities of these conversations in PAH. By understanding the emotions in PAH, we may learn something about the feelings that can also be evoked in people coping with Covid-19. Methods: We interviewed 30 PAH patients from 2016-2018 about the meaning and impact of illness on their lives. We analysed transcripts and audio recordings for heightened emotional moments and categorised the emotional responses and topics that were discussed. A multiple correspondence analysis was conducted to identify the associations between emotions and topics. Clini cal illustrations are provided for interpretation. Results: Mean age and illness duration was 52 and 6 years, and 77% were female. Participants had a mean of 5 emotional moments, each lasting on average 20 seconds. Half occurred in the first 20 minutes. Coping with diagnosis and the healthcare system was accompanied by feelings of shock and unfairness; relational issues involving close others evoked complicated feelings of isolation, worthlessness, and self-blame; and the experience of physical limitations and mortality salience elicited much anger and fear. Conclusion: People confronted by the threat of mortality from disease may have powerful feelings that they would benefit from sharing. These emotions are readily expressed because opportunities to discuss them are rare. Psychoeducation about illness experiences may help healthy people to relate to the medically ill and destigmatise the discussion of illness-related concerns. Research on coping with existential distress may be applied to the illness experience of Covid-19

Decision-making capacity for treatment in psychiatric and medical in-patients: Cross-sectional, comparative study

BackgroundIs the nature of decision-making capacity (DMC) for treatment significantly different in medical and psychiatric patients?AimsTo compare the abilities relevant to DMC for treatment in medical and psychiatric patients who are able to communicate a treatment choice.MethodA secondary analysis of two cross-sectional studies of consecutive admissions: 125 to a psychiatric hospital and 164 to a medical hospital. The MacArthur Competence Assessment Tool – Treatment and a clinical interview were used to assess decision-making abilities (understanding, appreciating and reasoning) and judgements of DMC. We limited analysis to patients able to express a choice about treatment and stratified the analysis by low and high understanding ability.ResultsMost people scoring low on understanding were judged to lack DMC and there was no difference by hospital (P=0.14). In both hospitals there were patients who were able to understand yet lacked DMC (39% psychiatric v. 13% medical in-patients, P&lt;0.001). Appreciation was a better ‘test’ of DMC in the psychiatric hospital (where psychotic and severe affective disorders predominated) (P&lt;0.001), whereas reasoning was a better test of DMC in the medical hospital (where cognitive impairment was common) (P=0.02).ConclusionsAmong those with good understanding, the appreciation ability had more salience to DMC for treatment in a psychiatric setting and the reasoning ability had more salience in a medical setting.</jats:sec

MATA-Cloud: A Cloud Detection and Dynamic Attitude Correction Evaluation Software

With the increasing demand for high-resolution images from earth observation satellites, there is a need to optimize the usability of the images being downloaded in the ground stations. Most captured satellite images are not usable for certain applications due to high cloud cover percentage. To address this problem, this research demonstrates a cloud detection and dynamic attitude correction evaluation software. This software explores two key experiments. First is evaluating different image processing and machine learning-based approaches to detect cloud cover. The cloud detection algorithms were evaluated based on their accuracy, latency, and memory consumption. The second is exploring dynamic attitude correction to minimize the effect of cloud cover on captured images. Results show that our software can help test algorithms that increase the usability of captured images

The impact of a faculty development programme for health professions educators in sub-Saharan Africa: an archival study

BACKGROUND: In 2008 the sub-Saharan FAIMER Regional Institute launched a faculty development programme aimed at enhancing the academic and research capacity of health professions educators working in sub-Saharan Africa. This two-year programme, a combination of residential and distance learning activities, focuses on developing the leadership, project management and programme evaluation skills of participants as well as teaching the key principles of health professions education-curriculum design, teaching and learning and assessment. Participants also gain first-hand research experience by designing and conducting an education innovation project in their home institutions. This study was conducted to determine the perceptions of participants regarding the personal and professional impact of the SAFRI programme. METHODS: A retrospective document review, which included data about fellows who completed the programme between 2008 and 2011, was performed. Data included fellows’ descriptions of their expectations, reflections on achievements and information shared on an online discussion forum. Data were analysed using Kirkpatrick’s evaluation framework. RESULTS: Participants (n=61) came from 10 African countries and included a wide range of health professions educators. Five key themes about the impact of the SAFRI programme were identified: (1) belonging to a community of practice, (2) personal development, (3) professional development, (4) capacity development, and (5) tools/strategies for project management and/or advancement. CONCLUSION: The SAFRI programme has a positive developmental impact on both participants and their respective institutions.National Research FoundationDepartment of HE and Training approved lis