Analysis on the level of knowledge, attitude and practice of occupational safety and health among healthcare employees in Kanowit Hospital

Semua industri terutamanya sektor kerajaan, digesa mempraktikkan Akta Keselamatan dan Kesihatan Pekerjaan (OSHA) 1994. Mereka harus memenuhi tanggungjawab majikan demi memastikan keselamatan dan kesihatan pekerja di tempat kerja. Pelan Master Kesihatan dan Keselamatan Pekerjaan Kebangsaaan 2010- 2015 mensasarkan pengurangan daripada 12.4 kematian daripada 100,000 pekerja kepada 6.1 kematian daripada 100,000 pekerja dan Pelan Master Kesihatan dan Keselamatan Kebangsaan 2016- 2020 mensasarkan 4.36 kematian daripada 100,000 pekerja dan kecederaan berkurangan kepada 2.53 daripada 1,000 pekerja. Pada 2020 menurut Jabatan Kesihatan dan Keselamatan Pekerjaan melaporkan sebanyak 6793 kemalangan pekerjaan berlaku. Sektor awam dan badan berkanun mewakili 1.2% daripada keseluruhan kes. Pelan Master Kesihatan dan Keselamatan Pekerjaan 2020 menunjukkan peningkatan positif apabila 5960 kes penyakit pekerjaan dan keracunan berlaku pada 2015 dan 1785 kes pada 2019. Objektif kajian ini adalah untuk menganalisa pengetahuan, sikap dan praktis mengenai Kesihatan dan Keselamatan Pekerjaan (KKP) di kalangan pekerja kesihatan di Kanowit Hospital. Pembinaan kajian adalah mengenai Kelengkapan Perlindungan Diri, Tanggungjawab Majikan- Pekerja Keselamatan dan Kesihatan, Fungsi Jawatankuasa Keselamatan dan Kesihatan dan Pengetahuan Pekerja di dalam OSH. 162 responden terlibat. Analisa data menyimpulkan bahawa tahap pengetahuan, sikap dan praktis keselamatan dan kesihatan pekerjaan di kalangan pekerja kesihatan di Kanowit Hospital adalah tinggi. Kajian mendapati bahawa pengetahuan pekerja kesihatan dipengaruhi oleh tempoh mereka telah bekerja dan umur mereka.Penemuan yang ketara dalam kajian ini meningkatkan tahap pengetahuan, sikap dan praktis mengenai keselamatan dan kesihatan pekerjaan. (Abstract by author

Fluctuating salinity improves survival of the invasive freshwater golden mussel at high salinity: implications for the introduction of aquatic species through estuarine ports

In order to evaluate the resilience to salinity as a factor enhancing freshwater invasiveness, we assessed the tolerance of the mussel Limnoperna fortunei to salinity conditions mimicking changes in an estuary. We tested mussel mortality in 30-day exposures to constant and fluctuating salinities at different temperatures in the laboratory. Test conditions simulated different seasons of the year and locations with increasing influence of marine waters in Río de la Plata, Argentina. Significant mortality (31% after 30 d) was observed at a constant salinity of 2?, increasing to 45% and 57% at 5? and 10?, respectively. In contrast, considerably greater tolerances were observed when conditions in the experimental chamber fluctuated between salt- and fresh water. No significant mortality was observed in mussels exposed to a salinity cycle with abrupt salinity changes ranging 1-23? (mean 2.68?) over a month. Tolerance to this type of regime was unaffected by different temperatures within ambient ranges. Tests at constant salinity underestimate the tolerance of this and probably other freshwater nonindigenous species (NIS) to short term saltwater exposures. Estuarine ports account for ca ⅔ of non-marine ports globally, thus constituting hotspots for NIS propagule pickup and delivery into continental aquatic ecosystems via shipping vectors. The tolerance of L. fortunei to estuarine conditions likely contributes to the species? remarkable invasive success. These results highlight the need to determine causes of invasiveness, and study NIS traits not alone but in combination with transport network properties.Fil: Sylvester, Francisco. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Ecologia, Genetica y Evolución; Argentina;Fil: Notaro, Carolina. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Ecologia, Genetica y Evolución; Argentina;Fil: Cataldo, Daniel. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Ecologia, Genetica y Evolución; Argentina; Consejo Nacional de Invest.cientif.y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Museo Arg.de Cs.nat;Fil: Boltovskoy, Demetrio. Universidad de Buenos Aires. Facultad de Cs.exactas y Naturales. Departamento de Ecologia, Genetica y Evolución; Argentina; Consejo Nacional de Invest.cientif.y Tecnicas. Oficina de Coordinacion Administrativa Pque. Centenario. Museo Arg.de Cs.nat

Development and Evaluation of Pasture Tree Cutting Robot: Proof-of-Concept Study

The encroachment of Eastern redcedar (ERC) (Juniperus virginiana L.) onto Great Plains prairies has become a serious threat to ecosystem functioning and grazing productivity. The uncontrolled spread of this invasive tree species has been called a »green glacier« converting grasslands into closed canopy woodlands. A pasture tree cutting robot was developed using a tracked Autonomous Ground Vehicle (AGV) equipped with a chainsaw bar to mitigate this green glacier dilemma. The prototype was fitted with amperage and voltage sensors to measure average power consumption and peak power requirements of tree cutting. It was evaluated on ERC and Honeylocust trees up to 20 cm in diameter. Cutting energy and time were determined to evaluate energy optimization and cutting time estimates. A pasture tree clearing energy consumption of the developed prototype was estimated for selected tree density/hectare. The prototype robot was successful in cutting down the intended size trees at a manageable power usage

The Quantum Transverse Field Ising Model on an Infinite Tree from Matrix Product States

We give a generalization to an infinite tree geometry of Vidal's infinite time-evolving block decimation (iTEBD) algorithm for simulating an infinite line of quantum spins. We numerically investigate the quantum Ising model in a transverse field on the Bethe lattice using the Matrix Product State ansatz. We observe a second order phase transition, with certain key differences from the transverse field Ising model on an infinite spin chain. We also investigate a transverse field Ising model with a specific longitudinal field. When the transverse field is turned off, this model has a highly degenerate ground state as opposed to the pure Ising model whose ground state is only doubly degenerate.Comment: 28 pages, 23 figures, PDFlate

Health Information Seeking and its Associated Factors among University Students: A Case in a Middle-Income Setting

This paper aims to describe health information seeking behaviour and identify its associated factors among undergraduate university students in developing countries. An online survey is used to collect data from 138 students. The data is analysed using the multivariate logistic regression analysis method. Results reveal that a substantial number of students have sought health information mostly from the Internet. Health literacy, perceived susceptibility to health problems and alcohol consumption are found to be the significant factors influencing health information seeking behaviour. Results provide an understanding of health information seeking behaviour in developing countries

Enhancing fire safety through IoT-enabled flame detection systems: A cost-effective and scalable approach

The Internet of Things (IoT), which connects and automates numerous systems and gadgets, has completely changed how we live and work. One such application of IoT technology is in fire detection systems, which can help prevent and mitigate the devastating effects of fires on different types of facilities. The research presents a n IoT architecture for a fire detection system using small, low-cost cameras to collect surveillance feeds from large buildings. The data is uploaded to the cloud, where a Machine Learning algorithm detects fires in digital images. The proposed architecture consists of cameras, cloud, and clients, using an inexpensive camera for surveillance feeds and a convolutional neural network for image classification based on large datasets. However, the architecture's cloud component processes surveillance feeds and runs a Machine Learning (ML) model, utilizing computing resources for real-time data processing and continuous training for improved accuracy. Clients can subscribe to the data from the cloud and receive alerts in real-time when the ML model detects a fire in the surveillance feeds. There are significant benefits in comparing the proposed design to conventional fire detection systems. First and foremost, it is economical since the cameras used are compact, affordable, and simple to install around the building without the need for elaborate wiring or infrastructure. Secondly, it is scalable, as the cloud provides the necessary computing resources and storage capacity to handle large amounts of data, making it possible to monitor large structures with many cameras

Game-based Networked Learning

Designing and analyzing learning experiences in non-formal contexts can be challenging, even for those with educational training. The challenge is more significant if the priorities include educational ideological bases or an specific type of educational vision. The DALI project (Data Literacy for Citizens) has the primary goal of offering Data Literacy learning experiences specifically designed for adults in non-formal educational contexts. With this goal in mind, and considering the social and material realities of the target participants –their needs, diversity, interests and cultures– the project combines two of the most promising pedagogical approaches nowadays: networked learning and playful learning. This short paper outlines the pedagogical vision underpinning our efforts to integrate both approaches into a set of strategies and resources, in other words, the principles and ideas driving the design of what is called in the project: Game-based Networked Learning (GBNL) experiences. In particular, we draw on both the Activity Centred Analysis and Design (ACAD) framework and the Transdisciplinary Model for Developing Game-Based Interventions. After reviewing key aspects of the theoretical grounds that define our understanding of educational uses of technology and game-based learning, the paper addresses critical considerations underpinning the adaptation of the ACAD framework in the planning of playful learning experiences. Thus, the paper outlines the main principles guiding the design of DALI experiences, dividing them into the three design areas established by ACAD: set design, epistemic design and social design. The ambition of this approach is to serve as a pedagogical and educational statement to guide valuable actions to improve other adult learning approaches

Game-based Networked Learning

Designing and analyzing learning experiences in non-formal contexts can be challenging, even for those with educational training. The challenge is more significant if the priorities include educational ideological bases or an specific type of educational vision. The DALI project (Data Literacy for Citizens) has the primary goal of offering Data Literacy learning experiences specifically designed for adults in non-formal educational contexts. With this goal in mind, and considering the social and material realities of the target participants –their needs, diversity, interests and cultures– the project combines two of the most promising pedagogical approaches nowadays: networked learning and playful learning. This short paper outlines the pedagogical vision underpinning our efforts to integrate both approaches into a set of strategies and resources, in other words, the principles and ideas driving the design of what is called in the project: Game-based Networked Learning (GBNL) experiences. In particular, we draw on both the Activity Centred Analysis and Design (ACAD) framework and the Transdisciplinary Model for Developing Game-Based Interventions. After reviewing key aspects of the theoretical grounds that define our understanding of educational uses of technology and game-based learning, the paper addresses critical considerations underpinning the adaptation of the ACAD framework in the planning of playful learning experiences. Thus, the paper outlines the main principles guiding the design of DALI experiences, dividing them into the three design areas established by ACAD: set design, epistemic design and social design. The ambition of this approach is to serve as a pedagogical and educational statement to guide valuable actions to improve other adult learning approaches

Multimodal fission from self-consistent calculations

When multiple fission modes coexist in a given nucleus, distinct fragment yield distributions appear. Multimodal fission has been observed in a number of fissioning nuclei spanning the nuclear chart, and this phenomenon is expected to affect the nuclear abundances synthesized during the rapid neutron-capture process (r-process). In this study, we generalize the previously proposed hybrid model for fission-fragment yield distributions to predict competing fission modes and estimate the resulting yield distributions. Our framework allows for a comprehensive large-scale calculation of fission fragment yields suited for r-process nuclear network studies. Nuclear density functional theory is employed to obtain the potential energy and collective inertia tensor on a multidimensional collective space defined by mass multipole moments. Fission pathways and their relative probabilities are determined using the nudged elastic band method. Based on this information, mass and charge fission yields are predicted using the recently developed hybrid model. Fission properties of fermium isotopes are calculated in the axial quadrupole-octupole collective space for three energy density functionals (EDFs). Disagreement between the EDFs appears when multiple fission modes are present. Within our framework, the UNEDF1$_{\textrm{HFB}}$ EDF agrees best with experimental data. Calculations in the axial quadrupole-octupole-hexadecapole collective space improve the agreement with the experiment for SkM$^{*}$. We also discuss the sensitivity of fission predictions on the choice of EDF for several superheavy nuclei. Fission fragment yield predictions for nuclei with multiple fission modes are sensitive to the underlying EDF. For large-scale calculations in which a minimal number of collective coordinates is considered, UNEDF1$_{\textrm{HFB}}$ provides the best description of experimental data