The Use of Metaphors in Modern Sinhala Song (Based on Three Selected Lyricists)

The song is used to describe vocabulary composed with the purpose of singing.  Language is the main medium of poetry and song. Due to the brevity unique to the song, the lyricist does not have the same freedom of language as a poet. Therefore, the use of language is a strong challenge for a lyricist. This linguistic challenge is compounded by the fact that the composition must conform to an audio medium such as a song, as well as under the relevant limitations of the song. The successful writer does not break these technical limitations but successfully overcomes them as in the use of language. The uniqueness of the language used in a high-quality lyric becomes a powerful factor in determining the overall success of the composition. Thus, a lyricist gets a great relief from the use of poetry in creating successful creations by combining a group of ideas in a limited number of words. The purpose of this research paper was to examine the nature of the use of metaphors in modern Sinhala songs. How did the use of metaphor help in creating meaningful lyrics? Is the research problem of this study. Using the works of lyricists Lution Bulathsinghala, Sunil Sarath Perera and Rathna Sri Wijesinghe as the primary source. Content analysis method has been used under qualitative data analysis method for this research and Library study method was used in data collection.  The conclusion that can be reached from this study was that the use of metaphor has made a significant contribution in the creation of meaning in the art form of song as well as in providing creative excellence. DOI: http://doi.org/10.31357/fhss/vjhss.v08i02.1

Contextualising Teaching and Learning in Rural Primary Schools: Using Agricultural Experience - Volume 2

Teaching/Communication/Extension/Profession,

Optimizing Player Management Processes in Sports: Translating Lessons from Healthcare Process Improvements to Sports

Typical player management processes focus on managing an athlete's physical, physiological, psychological, technical and tactical preparation and performance. Current literature illustrates limited attempts to optimize such processes in sports. Therefore, this study aimed to analyze the application of Business Process Management (BPM) in healthcare (a service industry resembling sports) and formulate a model to optimize data driven player management processes in professional sports. A systematic review, adhering to PRISMA framework was conducted on articles extracted from seven databases, focused on using BPM to digitally optimize patient related healthcare processes. Literature reviews by authors was the main mode of healthcare process identification for BPM interventions. Interviews with process owners followed by process modelling were common modes of process discovery. Stakeholder and value-based analysis highlighted potential optimization areas. In most articles, details on process redesign strategies were not explicitly provided. New digital system developments and implementation of Business Process Management Systems were common. Optimized processes were evaluated using usability assessments and pre-post statistical analysis of key process performance indicators. However, the scientific rigor of most experiments designed for such latter evaluations were suboptimal. From the findings, a stepwise approach to optimize data driven player management processes in professional sports has been proposed

VEGETATIVE PROPAGATION OF Dipterocarpus zeylanicus BY CUTIINGS

Dipterocarpus zeylanicus, an endemic tree in Sri Lanka offers great potential forbridging the gap between supply and demand of timber in the country. However,at present it has not been widely used as a plantation species. Establishment ofplantation by seeds has proved somewhat difficult due to low viability etc.Genetically uniform planting stock can be obtained rapidly through vegetativepropagation.With the above objective in mind an experiment was conducted to propagate stemcuttings of Ir.zeylanicus using a variety of rooting hormones under both mist andnon-mist conditions. In all the instances. cuttings of 15 em length and 0.3-0.4 mrnbasal diameter with two and half leaves were used. The hormone concentrationsused were, Indole Butyic Acid (lBA) 500 pprn, 1000 ppm and 1500 ppm and thecommercial hormone Sector (NAA + fungicide). Control did not have anyhormone treatment. The medium used was sand. The experiment was conductedunder two conditional environments; under a automatic mist and in a non-mistpolypropagator, a low cost alternative which was also designed to maintain a highhumidity through water manipulation.After the experimental period of 10 weeks, there was a marked differencebetween the mist and non-mist conditions in percentage survival of cuttings. Inall the treatments, % survival was higher under mist. In terms of percentagerooting, the cuttings under the non-mist propagator did not show rooting at allalthough callusing was observed in all the treatments at varying success levels.Among the rooting treatments, the highest percentage rooting (38. 10%) wasshown in the control without rooting hormones closely followed by otherhormone treatments. However, the treatment 1000 pprn of IBA showed thelowest percentage rooting (11.11 %).From these results, it can be concluded that

Rice Production in Sri Lanka

Crop Production/Industries,

Hundred Years of Lactitol: From Hydrogenation to Food Ingredient

The first report on the synthesis of lactitol dates back to the early 1920s. Nearly 100 years have passed since then, and the applications of lactitol have exceeded its original purpose. Currently, lactitol is used in bakery, confectionery, chocolate, desserts, chewing gum, cryoprotectant, delivery agent, and stabilizer in biosensors. Lactitol is the main reaction product derived from the hydrogenation of lactose. This chapter is aimed at providing a succinct overview of the historical development of lactitol, a summary of its synthesis, and an overview of its properties and applications

iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management

We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent® selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent® then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent®, risk factor data for 127 cases derived from the Australian Breast Cancer Family Study were entered into iPrevent®, IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent® (i.e., IBIS or BOADICEA) with the programmed iPrevent® model choice algorithm was assessed. Estimated breast cancer risks from iPrevent® were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent® were assessed for appropriateness. Risk estimation model choice was 100% consistent with the programmed iPrevent®logic. Discrepant 10-year and residual lifetime risk estimates of >1% were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4%). Risk management interventions suggested by iPrevent® were 100% appropriate. iPrevent® successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers