Improve Adult Health Life in Western Sydeny Through Health Promotion Models

This report will focus on a new health development initiative for the Western Sydney Adolescents and their health needs in terms of promoting physical activity and exercise because it helps them live longer and better lives and become more energetic. The target group are fairly sedentary individuals and consume copious amounts of energy dense foods, which are contributing to the burgeoning obesity risk factors in the community. A sedentary lifestyle contributes towards a range of cardiovascular diseases and health problems including heart disease, obesity, high blood pressure, high cholesterol and many types of cancers (Meyer, 2007). Successfully tackling obesity in a health promotion context, is a long-term, large-scale commitment that will require both individual responsibility and action together with a population-based approach, driven by partnerships between governments, businesses, and communities. The current prevalence of obesity in the population has been at least 30 years in the making, and will take considerable time to reverse the trends and its impacts and determinants on health (Roth, 2011). This article will outline the costing requirements and the evaluation methods that will be used in our adolescent obesity health promotion and prevention management strategy. This will be achieved by using a combination of educational and awareness campaigns, public advertising, healthy urban planning, imposing a ban on canteen junk food and establishing a health and wellbeing telephone hotline and social networking group. This will be evaluated for feasibility using cost-benefit analysis to determine whether each strategy or approach is to be implemented or not

Critical Analysis to Framework Quality to HR Plan in Bankstown Hospital by SWOT

This article has recognised the need for fundamental improvements in the HRM department of the Bankstown Hospital. Through the critical analysis and evaluation of internal systems and processes we were able to identify a number of issues as areas where improvement must be facilitated, each with varying degrees of seriousness. The key problem areas identified were:  Chronic under-funding by the government, obsolete hospital facilities, excessive debt and weak budgeting controls, disproportionately higher costs than other hospitals, lack of certain key HR skills/competencies by staff, and various internal operating problems.By applying the six-sigma quality control framework, World Health Organisation standards, and the works of various other prominent health care authors and consultants, we have devised a comprehensive and long term solution for improvement within this organisation. The use of HRM controls and tools, such as employee motivational framework is also highly beneficial to improving staff morale and work performance

Intelligent Cooperative Adaptive Weight Ranking Policy via dynamic aging based on NB and J48 classifiers

The increased usage of World Wide Web leads to increase in network traffic and create a bottleneck over the internet performance.  For most people, the accessing speed or the response time is the most critical factor when using the internet. Reducing response time was done by using web proxy cache technique that storing a copy of pages between client and server sides. If requested pages are cached in the proxy, there is no need to access the server. But, the cache size is limited, so cache replacement algorithms are used to remove pages from the cache when it is full. On the other hand, the conventional algorithms for replacement such as Least Recently Use (LRU), First in First Out (FIFO), Least Frequently Use (LFU), Randomised Policy, etc. may discard essential pages just before use. Furthermore, using conventional algorithms cannot be well optimized since it requires some decision to evict intelligently before a page is replaced. Hence, this paper proposes an integration of Adaptive Weight Ranking Policy (AWRP) with intelligent classifiers (NB-AWRP-DA and J48-AWRP-DA) via dynamic aging factor.  To enhance classifiers power of prediction before integrating them with AWRP, particle swarm optimization (PSO) automated wrapper feature selection methods are used to choose the best subset of features that are relevant and influence classifiers prediction accuracy.   Experimental Result shows that NB-AWRP-DA enhances the performance of web proxy cache across multi proxy datasets by 4.008%,4.087% and 14.022% over LRU, LFU, and FIFO while, J48-AWRP-DA increases HR by 0.483%, 0.563% and 10.497% over LRU, LFU, and FIFO respectively.  Meanwhile, BHR of NB-AWRP-DA rises by 0.9911%,1.008% and 11.5842% over LRU, LFU, and FIFO respectively while 0.0204%, 0.0379% and 10.6136 for LRU, LFU, FIFO respectively using J48-AWRP-DA

Understandings of creative practice and pedagogy by teacher education communities in West Bank, Palestine, and North West England

This is an Accepted Manuscript of an article published by Taylor & Francis in Discourse on 27/01/2020, available online: https://www.tandfonline.com/doi/full/10.1080/01596306.2019.1708706.This paper discusses a collaborative research project that aimed to explore approaches to creative practices and pedagogies by teacher education communities in the West Bank, Palestine, and North West England (Bethlehem and Chester). The project explored the values, attitudes and perceptions of teacher educators and student teachers in relation to creative pedagogies and the conditions under which they flourished in each community. We found that creativity was understood to take many forms, according to the cultural values and conditions present in each community, and that creative pedagogical forms emerged from the specificities of their cultural and political contexts. Creativity in education is a contentious issue in both cultures, but an area that both education communities wished to explore further. Despite the differences, there were surprising commonalities between the two communities about the value of creative practices and the relation of creativity to democratic and critical practices in the classroom

Application of Artificial Neural Network-Based Tool for Short Circuit Currents Estimation in Power Systems With High Penetration of Power Electronics-Based Renewables

The increasing integration of Power Electronics (PE)-based renewable energy sources into the electric power system has significantly affected the traditional levels and characteristics of fault currents compared to the ones observed in power systems dominated by synchronous generating units. The secure operation of a renewable rich power system requires the proper estimation of fault currents with wide range of scenarios of the high share of renewables. Although the utilization of detailed and complex time-domain dynamic simulations allows for calculating the fault currents, the resulting modeling complexity and computational burden might not be adequate from the operational perspective. Thus, it is necessary to develop alternative quicker data-driven fault current estimation approaches to support the system operator. For this purpose, this paper utilizes an Artificial Neural Network (ANN)-based tool to estimate the characteristics of short circuit currents in power systems with high penetration of power electronics-based renewables. The short circuits against different penetration of renewables are produced offline using the DIgSILENT PowerFactory considering the control requirements for renewables (e.g., fault ride through requirement). The resulting dataset is utilized to train the ANN to provide the mapping between the penetration level and the characteristics of the short circuit currents. The application of the approach using the modified IEEE 9-bus test system demonstrates its effectiveness to estimate the components of short circuit currents (sub-transient current, transient current, and peak current) with high accuracy based only on the penetration of power electronics-based renewables.©2023 Authors. Published by IEEE. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/fi=vertaisarvioitu|en=peerReviewed

Human Face Recognition Using Discriminant Analysis

In the present research, a face recognition method is proposed based on the concept of linear discriminant analysis (LDA) method. The LDA requires input some of image models to analyze and discriminate them, the newly proposed idea is the use of a number of textural features instead of face image pixels to be input the LDA procedure. The employed textural features were ten, which are computed for each face image using the grey level co-occurrence matrix (GLCM) method. The proposed face recognition method consists of two phases: enrollment and recognition. The enrollment phase is responsible for collecting the features of each face image to be a comparable models stored in the database, while the recognition phase is responsible on comparing the extracted features of input unknown face with that stored in the database. The comparison results a number of percentage values, each refers to the similarity between the input unknown face with the models in the database. The recognition decision is then issued according to the comparison results. The results showed that the system performed the recognition test with a recognition percent of about 94%, whereas the validation test showed that the system performance was about 92%. Frequent practices showed that the behavior of the recognition is acceptable and it is enjoying with the ability to be improved.

Analysis of Mercury Content in Canned Tuna Fish Commercially Available in the Philippines

Objective: To analyze the total concentration (in mg/kg) of Mercury in Canned Tuna Fish commercially available in the Philippines, using Cold Vapor Atomic Absorption Spectrophotometry (CVAAS) and to compare the results gathered with permissible FAO/WHO levels. Background: The levels of the toxic heavy metal, mercury have not been previously determined in canned Tuna commercially available in the Philippines. Methods: Six different brands of canned tuna, commercially and widely available in the Philippines were selected. The samples were primed, then analyzed using Cold Vapor Atomic Absorption Spectrophotometry. The values obtained were then compared the tolerable weekly limit of Mercury as set by WHO. Results: Of the six canned tuna, all were tested positive for mercury. The mercury content expressed in mg/kg body weight were 0.10, 0.04, 0.06, 0.02, 0.02, and 0.02, for samples A, B, C, D, E and F respectively. The Provisional Tolerable Weekly intake of total mercury is 0.004 mg/kg, as set by the Food and Agriculture Organization/World Health Organization Joint Expert Committee on Food Additives [1]. The recovered mercury from all the canned tunas tested were well above the Provisional Tolerable Weekly Intake of total Mercury [1]. Conclusion: All of the 6 cans of tuna samples tested were positive for mercury well above the permissible FAO/WHO levels for mercury. Therefore, the analysis of the canned tuna is considered significant and the canned tuna fish seem to be unsafe for human consumption

Cervical Cancer Risk Factors among Female High School Students in Baguio city

Objective: To determine and correlate the prevalence of cervical cancer risk factor exposures such as smoking, sexual activity, use of condoms, contraceptives pills, and history of STIs according to age and high school year level in Baguio city high-school students, Philippines. Background: Cervical cancer is the second cause of cancer deaths among women in the Philippines and the second most frequent cancer in women ages 15-44 [1]. Methods: The risk stratification level of cervical cancer development was determined using a questionnaire adapted from Siteman Cancer Center and Barnes- Jewish Hospital and Washington University School of Medicine. A coding manual was created for each of the risk factors and the level stratification of the risk factors. The study size was computed with the use of Open Epi, Version 2, open source calculator—SSPropo, an internet based epidemiologic calculator. Results: 98.3% of the study group was classified to have much below average risk of developing cervical cancer. 1.2% of the study group was of below average risk and 0.5% of the study group was with above average risk of cervical cancer with significant relationship to age of first sexual contact and number of sexual partners. Conclusion: An increased risk of cervical cancer among these students were associated with early onset of sexual activity, increasing number of sexual partners and early parity

Utilization Potential of Glass Fiber and Crumbled Rubber as Subgrade Reinforcement for Expansive Soil

Due to its high potential for volume change, expansive soil is a problematic building material that can cause harm to road infrastructure. The purpose of this study is to examine the effect of glass fiber and rubber on the properties of expansive soil and their suitability as subgrade reinforcement in road applications. For different percentages of glass fiber and rubber in the soil, the Maximum Dry Density (MDD), Optimum Moisture Content (OMC), and CBR were measured. The results demonstrated that the incorporation of glass fiber and rubber improved the soil's properties. With increasing fiber and rubber content, the MDD and CBR increased, while the OMC decreased. In addition, the strength of the reinforced soil was significantly greater than that of the unreinforced soil. The research indicates that the addition of glass fiber and rubber can improve the efficacy of expansive soil as subgrade reinforcement in road applications.   Doi: 10.28991/HEF-2023-04-03-06 Full Text: PD