Vol 1, Issue 1 (2018)

International Journal of Defence Science, Engineering & Technology

The Well-Baby Clinic and Pillars of Preventive Child Care

Prameela Kannan Kutty, Deborah Shobana Das

 

Abstract

This article targets all who are committed to the care of young children. Commencing with the clinical history and physical examination, the fundamentals of preventive child health offered in a well-baby clinic are highlighted. In this important clinic, the monitoring of core health components such as nutrition, growth, development and vaccination as pillars of preventive health services augments the health status of both a community and a nation. It is here that much needed information on infant nutrition in the first eighteen months of life, exclusive breastfeeding and complementary feeding, early growth and development, together with the provision of immunisation, is delivered. Health care provision is further strengthened by integrating knowledge with progressive dynamics of health services in line with the government’s health objectives such that communities are empowered with crucial information on preventive health. Significance to local scenarios, pertinent to parents and of importance to preventive health, with community relevance, is touched upon. In this way, it may be opportune to attempt innovative parental counsel on contextually related issues linked to the everyday care of children, whenever necessary. Of interest and given the focus of this journal, specific health concerns apropos to a military scenario, may well be further deliberated on and developed.

 

 

Utilization of Nano-Deep Evanescent Field for Particles Optophoresis

Khor Kang Nan, Mohamad Halim Abd Wahid, Nor Azura Malini Ahmad Hambali, Vithyacharan Retnasamy, Mukhzeer Mohamad Shahimin

 

Abstract

Separation and sorting of microparticles have set foot in critical diagnostics, advanced chemical and biomedical assessment. By utilizing specific characteristics for sorting, various techniques have been developed and optimized. Evanescent field optical trapping of microparticles is one of the emerging technologies to sort and separate in a non-mechanical and non-destructively several particles simultaneously. This paper describes the studies carried out, both theoretically and experimentally, to optimize the propulsion of polymer particles on copper ion-exchanged channel waveguides, to ultimately allow for the trapping and separation of mammalian adipose tissue derived stem cells (AT-SCs) according to their size and refractive index. The propulsion of polymer particles was observed to increase with the supplied input power and with laser polarization at transverse electric (TE) mode. The propulsion of particles was demonstrated to peak on a 4μm channel width of a 1μm thick copper ion-exchanged waveguide. The work carried out provides the optimal optical and waveguide parameters to be exploited for trapping and sorting AT-SCs on copper ion-exchanged waveguides.

 

 

Solid Metal Oxide Catalysts: Synthesis and Characterisation

Mardhiahtul Iftiah Ariffin, Norli Abdullah, Noor Azilah Kasim, Siti Hasnawati Jamal, Noor Aisyah Ahmad Shah

 

Abstract

Metal oxide particles have been studied by many researchers as potential catalysts for the production of biofuel. However, better understanding of catalysts preparation and characterisation are essential. A series of solid metal oxide catalysts were synthesised by chemical precipitation method using metal salt precursor such as magnesium nitrate hexahydrate, (Mg(NO3)2.6H2O), copper (II) nitrate tryhidrate (Cu(NO3)2.3H2O) and nickel nitrate hexahydrate, (Ni(NO3)2.6H2O ). The synthesised catalysts before and after calcination were further characterised using Thermal Gravity Analysis (TGA), Fourier Transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), N2 physisorption and Scanning Electron Microscope (SEM) analysis. Higher catalytic activity and higher production of biofuel may benefits from this higher surface area metal oxide catalysts synthesis by precipitation method in this work.

 

 

The Aerodynamics Study of Skyscrapers in Kuala Lumpur: The Effect on Occupants and Pedestrians Comfort

Nur ‘Izzati Mohmad Ismail, Mohd Rashdan Saad, Muhammad Taufiq Jumahadi, Azam Che Idris, Mohd Rosdzimin Abdul Rahman, Suriyadi Sujipto

 

Abstract

Skyscrapers have been constructed all over the world because of the social demand for more iconic building, including excellent aerodynamic performance and architectural aesthetic reasons. However, the increasing high-rise buildings in densely built-up cities created low velocity air flow caused by the phenomena of flow separation at pedestrian level and also exerts drag force on the building walls that may affect the occupants’ and pedestrians’ comfort. Therefore, the objective of this study is to investigate the drag force and pedestrian level wind condition of 15 skyscrapers in Kuala Lumpur of various designs and shapes by using Solidworks Flow Simulation. The effect of the height of surrounding buildings were also investigated. From the results, the bamboo shape of the Telekom tower shows the lowest drag coefficient by 0.1056 compared to others and the ratio of surrounding building height to skyscraper of 0.83 shows the smallest drag.

 

 

Monitoring Students Performance using Self Organizing Map Trend Clustering

Puteri Nor Ellyza Nohuddin, Zuraini Zainol, Aliimran Nordin

 

Abstract

The analysis of relation between student performance and other variables in education setting is often useful in identifying influential factors on performance. Consequently, the need for adopting an effective tool to process these big data has risen. The analysis of big data will transform passive data into useful information. Data mining is referred to an analytic process designed that discovers data patterns and relationships between datasets. In this study, clustering is used to cluster student grade datasets to generate trend line clusters. The aim of the study is to assist lecturers and academic advisors to recognize the progress of their students.