173 research outputs found
Response of Red Beetroot (Beta vulgaris L.) to intra-row spacing and blended NPS fertilizer rates at Wolaita Sodo Zuria district, Southern Ethiopia
Beetroot [(Beta vulgaris L.), Detroit Dark Red] is one of the root crops that is widely cultivated in the Wolaita Zone, southern Ethiopia. The crop is utilized as a vegetable to contribute the food and nutritional security of the farmers. Despite its economic importance, the crop yield productivity is very less in the study area due to inappropriate row spacing and lack of ideal fertilizer application rate. Therefore, this research was conducted to determine the effect of blended NPS fertilizer and intra-row spacing on red beetroot growth, yield components, and root yield in the study area. A total of 15 treatments were used as factorial combinations of three intra-row spacing’s (10, 15 and 20 cm) and five blended NPS fertilizer rates (0, 60.5, 121, 181.5 and 242 kg NPS ha-1 ) in three replications. Selected growth, yield components, and root yield parameters were collected and analyzed procedurally. The result revealed that blended NPS fertilizer rate application and intra-row spacing had shown a significant effect on growth, yield component, root yield, and marketable and unmarketable root yield of the Detroit dark red beetroot variety. The interaction had shown a significant effect on fresh and dry shoot weight. The highest total fresh and dry root weights were obtained from plants at 15 and 20 cm intra-row spacing and a 181.5 kg blended NPS ha-1 fertilizer application rate. The highest marketable root yield (32.74 t ha-1) was obtained at 15 cm intra-row spacing and by 181.5 kg ha-1 NPS fertilizer application rate. The highest marginal rate of return (4219.5) coupled with the highest net benefit of 93717.08 Birr per hectare was obtained from plants received 181.5 kg ha-1 NPS at 15 cm intra-row spacing. Thus, it was possible to conclude that the growing of the Detroit dark red beetroot variety with an application of 181.5 kg ha-1 blended NPS fertilizer and using 15 cm intra-row spacing at the study area had a significant effect on the production of Detroit dark red beetroot. 
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm
Reinforcement Learning (RL) has opened up new opportunities to solve a wide
range of complex decision-making tasks. However, modern RL algorithms, e.g.,
Deep Q-Learning, are based on deep neural networks, putting high computational
costs when running on edge devices. In this paper, we propose QHD, a
Hyperdimensional Reinforcement Learning, that mimics brain properties toward
robust and real-time learning. QHD relies on a lightweight brain-inspired model
to learn an optimal policy in an unknown environment. We first develop a novel
mathematical foundation and encoding module that maps state-action space into
high-dimensional space. We accordingly develop a hyperdimensional regression
model to approximate the Q-value function. The QHD-powered agent makes
decisions by comparing Q-values of each possible action. We evaluate the effect
of the different RL training batch sizes and local memory capacity on the QHD
quality of learning. Our QHD is also capable of online learning with tiny local
memory capacity, which can be as small as the training batch size. QHD provides
real-time learning by further decreasing the memory capacity and the batch
size. This makes QHD suitable for highly-efficient reinforcement learning in
the edge environment, where it is crucial to support online and real-time
learning. Our solution also supports a small experience replay batch size that
provides 12.3 times speedup compared to DQN while ensuring minimal quality
loss. Our evaluation shows QHD capability for real-time learning, providing
34.6 times speedup and significantly better quality of learning than
state-of-the-art deep RL algorithms
Mapping the theories, content, and outcomes of family-based interventions for children and young people with gaming disorder: A scoping review protocol [version 1; peer review: 2 approved]
Background:Â Despite the growth of gaming disorders globally, evidence of the formal involvement of family in treating gaming disorders is limited. When children are affected by gaming disorder, the family may encounter challenges in managing the behavior and in the lack of information regarding the gaming disorder, resulting in inconsistent parenting, which may further exacerbate the problem. Thus, it is essential to involve the family in formal interventions. The current scoping review plans to identify the theories, content, and outcomes of family-based interventions for children and young people with gaming disorders. Methods:Â This scoping review will follow the Joanna Briggs Institute (JBI) methodology. The population, Concept, and Context (PCC) were used to develop the review question. The studies published in the indexed databases will be searched systematically, and the reference list of included full texts will be searched for relevant studies. Intervention studies published in English from January 2010 to December 2022 will be included. Two independent reviewers will screen the studies against eligibility criteria. The data will be extracted and presented in a tabular and narrative style. Discussion:Â This scoping review will help better understand content, outcomes, and theories underpinning family-based interventions for children and young people with gaming disorders. Findings will inform the stakeholders about the current topic and guide the potential research areas. Registration details: The protocol has been registered in Open Science Framework with the DOI:Â https://doi.org/10.17605/OSF.IO/TXWB
Abraham model correlations for solute partitioning into o-xylene, m-xylene and p-xylene from both water and the gas phase
Article on Abraham model correlations for solute partitioning into o-xylene, m-xylene and p-xylene from both water and the gas phase
Clinical effectiveness of an online supervised group physical and mental health rehabilitation programme for adults with post-covid-19 condition (REGAIN study):multicentre randomised controlled trial
OBJECTIVE: To evaluate whether a structured online supervised group physical and mental health rehabilitation programme can improve health related quality of life compared with usual care in adults with post-covid-19 condition (long covid).DESIGN: Pragmatic, multicentre, parallel group, superiority randomised controlled trial.SETTING: England and Wales, with home based interventions delivered remotely online from a single trial hub.PARTICIPANTS: 585 adults (26-86 years) discharged from NHS hospitals at least three months previously after covid-19 and with ongoing physical and/or mental health sequelae (post-covid-19 condition), randomised (1:1.03) to receive the Rehabilitation Exercise and psycholoGical support After covid-19 InfectioN (REGAIN) intervention (n=298) or usual care (n=287).INTERVENTIONS: Best practice usual care was a single online session of advice and support with a trained practitioner. The REGAIN intervention was delivered online over eight weeks and consisted of weekly home based, live, supervised, group exercise and psychological support sessions.MAIN OUTCOME MEASURES: The primary outcome was health related quality of life using the patient reported outcomes measurement information system (PROMIS) preference (PROPr) score at three months. Secondary outcomes, measured at three, six, and 12 months, included PROMIS subscores (depression, fatigue, sleep disturbance, pain interference, physical function, social roles/activities, and cognitive function), severity of post-traumatic stress disorder, general health, and adverse events.RESULTS: Between January 2021 and July 2022, 39 697 people were invited to take part in the study and 725 were contacted and eligible. 585 participants were randomised. Mean age was 56 (standard deviation (SD) 12) years, 52% were female participants, mean health related quality of life PROMIS-PROPr score was 0.20 (SD 0.17), and mean time from hospital discharge was 323 (SD 144) days. Compared with usual care, the REGAIN intervention led to improvements in health related quality of life (adjusted mean difference in PROPr score 0.03 (95% confidence interval 0.01 to 0.05), P=0.02) at three months, driven predominantly by greater improvements in the PROMIS subscores for depression (1.39 (0.06 to 2.71), P=0.04), fatigue (2.50 (1.19 to 3.81), P<0.001), and pain interference (1.80 (0.50 to 3.11), P=0.01). Effects were sustained at 12 months (0.03 (0.01 to 0.06), P=0.02). Of 21 serious adverse events, only one was possibly related to the REGAIN intervention. In the intervention group, 141 (47%) participants fully adhered to the programme, 117 (39%) partially adhered, and 40 (13%) did not receive the intervention.CONCLUSIONS: In adults with post-covid-19 condition, an online, home based, supervised, group physical and mental health rehabilitation programme was clinically effective at improving health related quality of life at three and 12 months compared with usual care.TRIAL REGISTRATION: ISRCTN registry ISRCTN11466448.</p
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