4,105 research outputs found
PENGARUH KOMPETENSI, BEBAN KERJA, SERTA MOTIVASI TERHADAP KINERJA PERAWAT HOMECARE (Survei pada perawat homecare di Kota Bandung)
Ahmad Jaelani (1706770) "The Effect of Competence, Workload, and Motivation on the Performance of Homecare Nurses in the City of Bandung". Under the guidance of Prof. Dr. H. Eeng Ahman, MS, and Dr. Hady Siti Hadijah, S.Pd., M.Sc.
This study aims to find a picture of competence, workload, and motivation on performance and how the influence of competence and workload on the performance of homecare nurses in the city of Bandung.
The research method used in this research is descriptive and explanatory survey with a total sampling technique. Respondents in this study were homecare nurses in the city of Bandung with a sample of 99 people. The data analysis technique used is path analysis with SPSS 25.0 computer software tools. Hypothesis testing uses t-statistic test. Whereas R² is used to find out how the influence of the independent variables together on the dependent variable.
The results of this study indicate that competency, workload and motivation are in the high category, while the performance is in the very high category. Statistical test results show that together competency, workload and motivation have a positive and significant effect on the performance of homecare nurses. Partially, competence has a positive effect on motivation, while workload negatively affects motivation.
Partially, competence has a positive effect on performance, while workload has a negative effect on performance. And partially, motivation has a positive and significant effect on the performance of homecare nurses in Bandung
Keywords: Competence, Workload, Motivation, Performance, Homecar
Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-output system
This paper presents an investigation into the modelling and control of a one-degree-of-freedom (1 DOF) twin-rotor multi-input multi-output (MIMO) system (TRMS). The behaviour of the TRMS in certain aspects resembles that of a helicopter. Hence, it is an interesting identification and control problem. A dynamic model characterizing the TRMS in hover is extracted using a black-box system identification technique. The extracted model is employed in the design of a feedback linear quadratic Gaussian compensator, namely the stability augmentation system (SAS). This has a good tracking capability but requires high control effort and has inadequate authority over residual vibration of the system. These problems are resolved by further augmenting the system with a command path prefilter, resulting in the command and stability augmentation system (CSAS). The combined feedforward and feedback compensator satisfies the performance objectives and obeys the actuator constraint. The control law is implemented in realtime on the TRMS platform
Evaluation of acute toxicity and anti-inflammatory effects of Baccharoides schimperi (DC.) in experimental animals
Background: Steroidal and non-steroidal anti-inflammatory drugs are most commonly used to treat inflammation, and shown to have severe side effects. In this study, we aimed at evaluating the anti-inflammatory and acute toxicity effects of Baccharoides schimperi (DC.) in order to get new anti-inflammatory agents of natural origin.Materials and methods: The aerial part of the plant was dried under shade, ground and extracted with 96% alcohol (BSE). It was further fractionated in sequence to n-hexane (BSH), chloroform (BSC) and methanol (BSM) soluble fractions. Acute toxicity was evaluated by oral administration of plant and hind paw induced-edema method in rats was used for the anti-inflammatory evaluation.Results: The BSE was found safe up to the dose level of 3 g/kg b.w. and showed LD50 value 7.250 g/kg body weight (b.w.) in mice. BSE showed significant anti-inflammatory effect (62.91%) at 500 mg/kg b.w. Further the n-hexane, chloroform and methanol fractions of BSE were tested for antiinflammatory activity. The n-hexane fraction (BSH) exhibits significant activity (64.87%) at 400 mg/kg b.w. The methanol fraction (BSM) showed dose dependent activity, highest activity (60.42%) was observed at higher dose 400 of mg/kg b.w. In chloroform fraction (BSC) no significant activitywas observed.Conclusion: The results of the study revealed that the plant is safe to the experimental model and recommended as a potential source of antiinflammatory agent.Key words: Acute toxicity, anti-inflammatory activity, Baccharoide schimperi (DC.
Methods of space maintenance for premature loss of a primary molar: a review
AIM: This critical appraisal attempts to answer the question: What is the best method of space maintenance (SM) following premature loss of a primary molar in children under 12 years old? METHODS: A search to identify studies relevant to the PICO was conducted. Single case reports and studies prior to 1986 were excluded. The principles of GRADE were followed to appraise the evidence. RESULTS: 20 studies were identified, which evaluated 2265 space maintainers (SMs). Two studies were graded high quality, four moderate, eight low, and six very low. All studies reported on longevity outcomes and most on adverse effects. CONCLUSIONS: There was no strong evidence favouring a particular SM, the following recommendations were made: (a) strong recommendations: In cases where rubber dam cannot be used clinicians should not use Glass Fibre Reinforced Composite Resin (GFRCR) SMs. (b) Weak recommendations: Crown and Loop SMs are recommended for loss of primary first molars; GFRCR SMs (placed under rubber dam) are recommended for loss of primary second molars. Bilateral SMs may have questionable efficacy and their use where there is loss of multiple molars in the same quadrant should be weighed against the risk of unwanted tooth movements, loss of a removable SM or no space maintenance at all
Mapping the UK renal psychosocial workforce : the first comprehensive workforce survey
Background: Emerging evidence of psychosocial problems in CKD patients has led to an acceptance that a focus
on the emotional wellbeing of the patient should be included in the provision of comprehensive CKD care. It is
unclear if an increased attention for psychosocial needs in guidelines and policy documents has led to a rise in
psychosocial staffing levels or change in composition of staff since the last workforce mapping in 2002. This paper
offers a critical analysis and in-depth discussion of findings and their implications, in addition to providing an
international perspective and exposing gaps in current knowledge.
Methods: Data on psychosocial staffing levels was taken from a survey based on the Scottish Renal Association’s
(SRA) staffing survey that was sent to all units in England, Wales and Northern-Ireland in 2016. In addition, data
from a psychosocial staffing survey designed by and distributed via psychosocial professional groups was used. This data was then completed with Freedom of Information (FOI) requests and collated to describe the current renal
psychosocial workforce in all 84 UK renal units. This was compared to results from the last renal workforce mapping
in 2002.
Results: The results from this mapping show great variability in models of service provision, significant exceeding of benchmarks for staffing levels, and a change in staffing patterns over the past 15 years. Adult psychology services have increased in number, but provision remains low due to increased patient numbers, whereas adult social work and paediatric services have decreased.
Conclusion: A lack in the provision of renal psychosocial services has been identified, together with the absence of
a general service provision model. These findings provide a valuable benchmark for units, a context from which to
review and monitor provision alongside patient need. Along with recommendations, this paper forms a foundation
for future research and workforce planning. Research into best practice models of service provision and the
psychosocial needs of CKD patients lies at the heart of the answers to many identified questions
Factors Determining the Willingness to Adopt Grasscutter Domestication Technology among Urban Dwellers in Southwest, Nigeria
This study investigated factors determining the willingness to adopt
grasscutter domestication technology in South west, Nigeria.
Multi-stage sampling procedure was used to select 160 respondents from
9 urban towns in Oyo, Ogun and Osun States. Well-structured
questionnaire was used for data collection. Data was analysed using
descriptive analysis, correlational analysis and t-test. Results showed
that the majority (69.4%) of the respondents were male and married.
Coefficient correlation (r value) at (p< 0.05), shows that there is
a significant association between respondents\u2019 educational
status, religion, household size, primary as well as secondary
education with respondents\u2019 willingness to adopt the technology.
There was also found significant relationship between, perceived health
status of those who are into the grasscutter technology, perceived
nutritional value and economic value of the grasscutter domestication
technology with the willingness to adopt the grasscutter domestication
technology. The result if the T-test revealed that there is significant
relationship between perceived ease of practice and willingness to
adopt the technology. The majority of the respondents are willing to
rear grasscutter if variables like space, fund, availability of
ready-made buyer and feed, breeding stock and training are put into
place. However, issues relating to having enough plots of land,
funding, ready-made buyer of grasscutter, and training facilities are
most germane. It is therefore recommended that funding and training on
the adoption of the grasscutter domestication technology should be made
available to individuals
The ansamycin antibiotic, rifamycin SV, inhibits BCL6 transcriptional repression and forms a complex with the BCL6-BTB/POZ domain
BCL6 is a transcriptional repressor that is over-expressed due to chromosomal translocations, or other abnormalities, in ~40% of diffuse large B-cell lymphoma. BCL6 interacts with co-repressor, SMRT, and this is essential for its role in lymphomas. Peptide or small molecule inhibitors, which prevent the association of SMRT with BCL6, inhibit transcriptional repression and cause apoptosis of lymphoma cells in vitro and in vivo. In order to discover compounds, which have the potential to be developed into BCL6 inhibitors, we screened a natural product library. The ansamycin antibiotic, rifamycin SV, inhibited BCL6 transcriptional repression and NMR spectroscopy confirmed a direct interaction between rifamycin SV and BCL6. To further determine the characteristics of compounds binding to BCL6-POZ we analyzed four other members of this family and showed that rifabutin, bound most strongly. An X-ray crystal structure of the rifabutin-BCL6 complex revealed that rifabutin occupies a partly non-polar pocket making interactions with tyrosine58, asparagine21 and arginine24 of the BCL6-POZ domain. Importantly these residues are also important for the interaction of BLC6 with SMRT. This work demonstrates a unique approach to developing a structure activity relationship for a compound that will form the basis of a therapeutically useful BCL6 inhibitor
Serum methylarginines and spirometry-measured lung function in older adults
Rationale: Methylarginines are endogenous nitric oxide synthase inhibitors that have been implicated in animal models of lung disease but have not previously been examined for their association with spirometric measures of lung function in humans.
Objectives: This study measured serum concentrations of asymmetric and symmetric dimethylarginine in a representative sample of older community-dwelling adults and determined their association with spirometric lung function measures.
Methods: Data on clinical, lifestyle, and demographic characteristics, methylated arginines, and L-arginine (measured using LC-MS/MS) were collected from a population-based sample of older Australian adults from the Hunter Community Study.
The five key lung function measures included as outcomes were Forced Expiratory Volume in 1 second, Forced Vital Capacity, Forced Expiratory Volume in 1 second to Forced Vital Capacity ratio, Percent Predicted Forced Expiratory Volume in 1 second, and Percent Predicted Forced Vital Capacity.
Measurements and Main Results: In adjusted analyses there were statistically significant independent associations between a) higher asymmetric dimethylarginine, lower Forced Expiratory Volume in 1 second and lower Forced Vital Capacity; and b) lower L-arginine/asymmetric dimethylarginine ratio, lower Forced Expiratory Volume in 1 second, lower Percent Predicted Forced Expiratory Volume in 1 second and lower Percent Predicted Forced Vital Capacity. By contrast, no significant associations were observed between symmetric dimethylarginine and lung function.
Conclusions: After adjusting for clinical, demographic, biochemical, and pharmacological confounders, higher serum asymmetric dimethylarginine was independently associated with a reduction in key measures of lung function. Further research is needed to determine if methylarginines predict the decline in lung function
A Distributed Trust Framework for Privacy-Preserving Machine Learning
When training a machine learning model, it is standard procedure for the
researcher to have full knowledge of both the data and model. However, this
engenders a lack of trust between data owners and data scientists. Data owners
are justifiably reluctant to relinquish control of private information to third
parties. Privacy-preserving techniques distribute computation in order to
ensure that data remains in the control of the owner while learning takes
place. However, architectures distributed amongst multiple agents introduce an
entirely new set of security and trust complications. These include data
poisoning and model theft. This paper outlines a distributed infrastructure
which is used to facilitate peer-to-peer trust between distributed agents;
collaboratively performing a privacy-preserving workflow. Our outlined
prototype sets industry gatekeepers and governance bodies as credential
issuers. Before participating in the distributed learning workflow, malicious
actors must first negotiate valid credentials. We detail a proof of concept
using Hyperledger Aries, Decentralised Identifiers (DIDs) and Verifiable
Credentials (VCs) to establish a distributed trust architecture during a
privacy-preserving machine learning experiment. Specifically, we utilise secure
and authenticated DID communication channels in order to facilitate a federated
learning workflow related to mental health care data.Comment: To be published in the proceedings of the 17th International
Conference on Trust, Privacy and Security in Digital Business - TrustBus202
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