23,572 research outputs found
Intellectual Capital: a Focus on Human Capital Reporting Practices of Top Malaysian Listed Companies
This paper aims to examine the extent of human capital (HC) reporting among top Malaysian companies and introduce an HC reporting guideline that can be used by Malaysian companies and regulator. It begins by developing the HC framework based on previous intellectual capital (IC) frameworks. This framework is then used to examine each of the top 100 Malaysian companies listed on the Bursa Malaysia in year 2008. Using the content analysis method, it reviews the annual reports of these companies to determine the extent of HC reporting. The findings of this paper highlight the need for the development of IC framework particularly on HC. HC differences were also identified between Malaysia and other countries such as Sri Lanka and Australia, and it is argued that these differences can be attributed to the social, economic, and political factors
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How the health-seeking behaviour of pregnant women affects neonatal outcomes: findings of system dynamics modelling in Pakistan
Background: Limited studies have explored how health-seeking behaviour during pregnancy through to delivery affect neonatal outcomes. We modelled health-seeking behaviour across urban and rural settings in Pakistan, where poor neonatal outcomes persist with wide disparities.
Methods and findings: A system dynamics model was developed and parameterised. Following validation tests, the model was used to determine neonatal mortality for pregnant women considering their decisions to access, refuse and switch antenatal care services in four provider sectors: public, private, traditional and charitable. Four health-seeking scenarios were tested across different pregnancy trimesters. Health-seeking behaviour in different subgroups by geographical locations and social network effect was modelled. The largest reduction in neonatal mortality was achieved with antenatal care provided by skilled providers in public, private or charitable sectors, combined with the use of institutional delivery. Women’s social networks had strong influences on if, when and where to seek care. Interventions by Lady Health Workers had a minimal impact on health-seeking behaviour and neonatal outcomes after trimester 1. Optimal benefits were achieved for urban women when antenatal care was accessed within trimester 2, but for rural women within trimester 1. Antenatal care access delayed to trimester 3 had no protective impact on neonatal mortality.
Conclusions: System dynamics modelling enables capturing the complexity of health-seeking behaviours and impact on outcomes, informing intervention design, implementation of targeted policies and uptake of services specific to urban/rural settings considering structural enablers/barriers to access, cultural contexts and strong social network influences
The performance of modified jatropha-based nanofluid during turning process
The industry's extensive use of petroleum-based metalworking fluid (MWF) harms the environment
and humans. The production of bio-based MWF, especially from crude jatropha oil (CJO), has therefore taken
numerous initiatives. This aimed to formulate newly modified jatropha oil (MJO) with the addition of 0.05wt.%
hBN and 0.05wt.% MoS2 as the nanofluid for MWF. The performance of the nanofluids was determined
through the turning process in terms of cutting temperature, workpiece surface roughness, tool life and tool
wear of the tool lubricated by the nanofluids. The performance of the nanofluid samples was compared with
the synthetic ester (SE). From the results, after conducted 100mm axial cutting length MJO+hBN+MoS2
recorded the lowest in cutting temperature and surface roughness compared to all samples. The result shows
that MJO+hBN+MoS2 has longer tool life (6500mm) compared to SE (6000mm). Abrasion and adhesion were
observed as the dominant tool wear mechanism. In conclusion, MJO+hBN+MoS2 shows better machining
performance and has the potential to be an environmentally friendly metalworking fluid
The effects of continuous lighting (CL) method on the growth development of brassica chinensis for led plant factory in wsn application
This study was performed to investigate the best practise on using LED light for optimum growth of Brassica Chinensis and reduce turn around time at different kind of photoperiod study utilizing Wireless Sensor Network (WSN) technology as remote monitoring system. Growth performance of Brassica Chinensis under two different wavelengths (blue and red) 16: 4 as light source has been used to determine plant growth performance and phytochemicals aspect of plant characteristics. Two experiments were conducted which is the pulse treatment (1 hour light and 1 hour dark) and continuous light (CL) photoperiod treatment in both trials. Observation such as leaves count, height, dry weight and chlorophy I & ll of both plants were analysed. It was noted that the CL photoperiod has significant effect on overall growth performance and remarkably lead to improve the efficiency of the plant factory. In order to reason on data and monitor the environmental parameters of the plant factory, an intelligent system using embedded system has been developed to automate the LED control and manipulation. The result shows that the system is stable and has referential significantly in the area of plant factory or indoor farming system
AMCTD: Adaptive Mobility of Courier nodes in Threshold-optimized DBR Protocol for Underwater Wireless Sensor Networks
In dense underwater sensor networks (UWSN), the major confronts are high
error probability, incessant variation in topology of sensor nodes, and much
energy consumption for data transmission. However, there are some remarkable
applications of UWSN such as management of seabed and oil reservoirs,
exploration of deep sea situation and prevention of aqueous disasters. In order
to accomplish these applications, ignorance of the limitations of acoustic
communications such as high delay and low bandwidth is not feasible. In this
paper, we propose Adaptive mobility of Courier nodes in Threshold-optimized
Depth-based routing (AMCTD), exploring the proficient amendments in depth
threshold and implementing the optimal weight function to achieve longer
network lifetime. We segregate our scheme in 3 major phases of weight updating,
depth threshold variation and adaptive mobility of courier nodes. During data
forwarding, we provide the framework for alterations in threshold to cope with
the sparse condition of network. We ultimately perform detailed simulations to
scrutinize the performance of our proposed scheme and its comparison with other
two notable routing protocols in term of network lifetime and other essential
parameters. The simulations results verify that our scheme performs better than
the other techniques and near to optimal in the field of UWSN.Comment: 8th International Conference on Broadband and Wireless Computing,
Communication and Applications (BWCCA'13), Compiegne, Franc
Fluorescent light (FL), red LED and blue LED spectrums effects on in vitro shoots multiplication
Tissue culture in ornamental plants is one of the relevant factors that beat production of vegetables and fruit production worldwide. It has been recognized as an effective tool to enhance large scale of plant multiplication. However, the conventional lighting system may contain unnecessary wavelength that are low quality to promote growth. In this study, experiment was conducted by using Light Emitting Diodes (LED) as an alternative source of lighting. Red and blue LEDs along with fluorescent light (FL) were applied to determine the best source of light in multiplication of rose. Under the same media regimes which are MS media basal and BAP shoot hormone, blue LED had shown more shoots and leaves
Studi Eksperimen Optimasi Sudut Pengapian terhadap Daya pada Motor Bakar 4 Langkah 1 Slinder dan Rasio Kompresi 9,5:1 dengan Variasi Campuran Bensin Premium dan Bioetanol
Currently, the amount of fosil fuel in Indonesia is forecast limited, so that in the future will be likely fuel oil depletion that lead to increase the its price. Therefore, it is urgently to look for other alternative of fuel oil sources. Indonesia has a renewable alternative of fuel source that is bioethanol. The bioethanol can be blended with gasoline to improve the performance on gasoline. The purpose of this study is to determine the optimum angle for different concentrations of a mixture of ethanol and gasoline to produce optimal engine work. In this study, the effects of using unleaded gasoline (E0) and unleaded gasoline–ethanol blends (E10, E20,E30, E40 and E50) on engine performance. The investigation was conducted on a Suzuki Shogun 125 R single-cylinder, four-stroke, spark ignition engine. The experiments were performed by varying the ignition angle (150, 200 and 250) and speed of the crankshaft (2000 rpm, 3000 rpm and 4000 rpm). A result for the maximum effective braking power was on E20, the ignition angle of 20 degrees before TDC (Top Dead Center) at the crankshaft speed of 2000 rpm that was 156.284635 Watt, minimum SFC (Specific Fuel Consumption) was on E10, the ignition angle of 15 degrees before TDC, at the crankshaft speed of 2000 rpm that was 5.63 x 10 -7 kg / J. The thermal of maximum braking efficiency was on the E10, the ignition angle of 15 degrees before TDC at the crankshaft speed of 2000 rpm was 4.2%
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Risk perception of antimicrobial resistance by infection control specialists in Europe: a case-vignette study
Background
Using case-vignettes, we assessed the perception of European infection control (IC) specialists regarding the individual and collective risk associated with antimicrobial resistance (AMR) among inpatients.
Methods
In this study, sixteen case-vignettes were developed to simulate hospitalised patient scenarios in the field of AMR and IC. A total of 245 IC specialists working in different hospitals from 15 European countries were contacted, among which 149 agreed to participate in the study. Using an online database, each participant scored five randomly-assigned case-vignettes, regarding the perceived risk associated with six different multidrug resistant organisms (MDRO). The intra-class correlation coefficient (ICC), varying from 0 (poor) to 1 (perfect), was used to assess the agreement for the risk on a 7-point Likert scale. High risk and low/neutral risk scorers were compared regarding their national, organisational and individual characteristics.
Results
Between January and May 2017, 149 participants scored 655 case-vignettes. The perceptions of the individual (clinical outcome) and collective (spread) risks were consistently lower than other MDRO for extended spectrum beta-lactamase producing Enterobacteriaceae cases and higher for carbapenemase producing Enterobacteriaceae (CPE) cases. Regarding CPE cases, answers were influenced more by the resistance pattern (93%) than for other MDRO. The risk associated with vancomycin resistant Enterococci cases was considered higher for the collective impact than for the individual outcome (63% vs 40%). The intra-country agreement regarding the individual risk was globally poor varying from 0.00 (ICC: 0–0.25) to 0.51 (0.18–0.85). The overall agreement across countries was poor at 0.20 (0.07–0.33). IC specialists working in hospitals preserved from MDROs perceived a higher individual (local, p = 0.01; national, p < 0.01) and collective risk (local and national p < 0.01) than those frequently exposed to bacteraemia. Conversely, IC specialists working in hospitals with a high MDRO clinical burden had a decreased risk perception.
Conclusions
The perception of the risk associated with AMR varied greatly across IC specialists and countries, relying on contextual factors including the epidemiology. IC specialists working in high prevalence areas may underestimate both the individual and collective risks, and might further negatively promote the MDRO spread. These finding highlight the need to shape local and national control strategies according to risk perceptions and contextual factors
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