Exact Diagonalization Study of Bose-Condensed Gas with Finite-Range Gaussian Interaction

We investigate a system of $N$ spinless bosons confined in quasi-two-dimensional harmonic trap with repulsive two-body finite-range Gaussian interaction potential of large $s$-wave scattering length. Exact diagonalization of the Hamiltonian matrix is carried out to obtain the $N$-body ground state as well as low-lying excited states, using Davidson algorithm in beyond lowest-Landau-level approximation. We examine the finite-range effects of the interaction potential on the many-body ground state energy as also the degree of condensation of the Bose-condensed gas. The results obtained indicate that the finite-range Gaussian interaction potential enhances the degree of condensation compared to the zero-range interaction potential. We further analyze the effect of finite-range interaction potential on the breathing mode collective excitation. Our theoretical results may be relevant for experiments currently conducted on quasi-two-dimensional Bose gas with more realistic interaction potential.Comment: 4 pages,3 figures, RevTe

Effects of soil variation between peat soil and mineral soil on fruit quality of pineapple (Ananas Comosus) cultivars: N36 and josapine

Consumption of pineapple is predicted to increase in the near future in which the demand for continuous supply of the fruit becomes of major interest. This research is focused on finding the influence of growth medium between peat soil and mineral soil to the weight and production of vitamin C and sugar contents of the pineapple fruits. Two cultivars were investigated: N36 and Josapine. The vitamin C is quantified by Iodate Titration and sugar content is analyzed by Digital Refractometer. The chemical soil properties were analyzed by using atomic absorption spectrophotometer at the Soil Analysis Section laboratory from Department Of Agriculture, Malaysia. All data were analyzed statistically through ANOVA by using SPSS. Results indicated that pineapple planted on peat soil produced heavier fruits than those in mineral soil. N36 pineapple reports no significant difference (p < 0.05) of the vitamin C content and the sweetness between different cultivation soil types. However, Josapine pineapples cultivated on mineral soil (FIMA Plantation) produce significantly 115% higher vitamin C content (19.243 ± 7.191 mg∙100g-1), and significantly 30% lower sugar content (5.403 ± 1.721% °Bx) than cultivated on peat soil (Peninsula Plantations). The finding of the soil type’s influence on the fruit quality production is beneficial for pineapple producers and researchers to broaden up the development of pineapple-based products in the long run. The promotion of pineapple nutritional contents is beneficial to increase consumers’ knowledge and awareness on the importance of pineapple consumption especially in Asian regions

Breathing Modes in Rotating Bose-Condensed Gas: An Exact Diagonalization Study

We present an exact diagonalization study of the breathing mode collective excitations for a rotating Bose-Einstein condensate of $N=10$ spinless bosons interacting via repulsive finite-range Gaussian potential and harmonically confined in quasi-two-dimension. The yrast state and the low-lying excited states are variationally obtained in given subspaces of the quantized total angular momentum $L$ employing the beyond lowest Landau level approximation in slowly rotating regime with $0 \le L < 2N$. For a given $L$, the low-energy eigenspectra (bands) are obtained in weakly to moderately interacting regime. Further, for a given interaction, the split in low-lying eigenenergies with increasing $L$ is the precursor to spontaneous symmetry breaking of the axisymmetry associated with the entry of the first vortex. With increase in repulsive interaction, the value of the first breathing mode increases for stable total angular momentum states L=0~\mbox{and}~N, but decreases for intermediate $0<L<N$ metastable states. The position of the observed first breathing modes in the eigenspectrum remains unchanged as the interaction is varied over several orders of magnitude.Comment: 5 pages, 3 figures, RevTex two colum

The analysis safety and health risks of workers in the municipal solid waste landfill in Malaysia

The aim of the paper is to reflect the findings from a case study conducted on the awareness to the operation of the municipal solid waste landfill. The study focused on safety and health risks for workers in the municipal solid waste landfill in Malaysia. Workers involved in and face occupational health and safety hazards which are as diverse as the materials they are handling. The study was conducted to identify the safety and health risks to their workers and implementation of appropriate exposure prevention or control measures. The information analysis throughout the research was gathered from survey conducted on a few key personnel of the company. Finally, the study draws several relationships between operation of municipal solid waste landfill in Malaysia and safety and health risk for workers and reflects several recommendations for further research

A comparison study of deep CNN models for brain tumor MRI image classification

Throughout the life journey, brain health conditions may emerge and are identified by disruptions in normal brain growth and brain functioning. One of the disruption that may manifest as a neurological condition is brain tumor, which incidence is increasing in recent years. Since manual method of classifying brain tumor images is tedious and can only be done at certain diagnostic centers, an alternative way of using deep learning technique to detect abnormal tissues in the brain is undertaken in this work. In this project, different architectures of Convolutional Neural Network (CNN) models namely AlexNet, Residual Network-18 (ResNet-18) and GoogLeNet were adopted and compared for their performance in classification of brain tumor Magnetic Resonance Imaging (MRI) images via two different approaches namely transfer learning method and modified method. The performance of the CNN models were evaluated and the most reliable model for the classification of brain tumor MRI images was determined. From the comparison done between the transfer learning method and modified method, transfer learning AlexNet showed the highest accuracy of 87.11% while modified ResNet-18 demonstrated the lowest accuracy of 76.09%. Based on observation of this project results and findings from other sources, for both approaches taken for brain tumor image classification, the tuning of hyperparameters used in training options (for transfer learning method only), the variation of image data augmentation to avoid overfitting and the depth of CNN topology influences the accuracy of the CNN models. The best CNN model for the classification of brain tumor MRI images with great accuracy was proven to be transfer learning AlexNet model

Hand-arm vibration disorder among grass-cutter workers in Malaysia

Prolonged exposure to hand-transmitted vibration from grass-cutting machines has been associated with increasing occurrences of symptoms and signs of occupational diseases related to hand-arm vibration syndrome (HAVS). Methods. A cross-sectional study was carried out using an adopted HAVS questionnaire on hand-arm vibration exposure and symptoms distributed to 168 male workers from the grass and turf maintenance industry who use hand-held grass-cutting machines as part of their work. The prevalence ratio and symptom correlation to HAVS between high and low–moderate exposure risk groups were evaluated. Results. There were positive HAVS symptoms relationships between the low–moderate exposure group and the high exposure group among hand-held grass-cutting workers. The prevalence ratio was considered high because there were indicators that fingers turned white and felt numb, 3.63, 95% CI [1.41, 9.39] and 4.24, 95% CI [2.18, 8.27], respectively. Less than 14.3% of workers stated that they were aware of the occupational hand-arm vibration, and it seemed to be related to the finger blanching and numbness. Conclusion. The results suggest that HAVS is under-diagnosed in Malaysia, especially in the agricultural sectors. More information related to safety and health awareness programmes for HAVS exposure is required among hand-held grass-cutting workers

Numerical method on drug release from Nanoparticles using CFD.

Nowadays, there are many ways to administer the huge variety of drugs that are on the market. A drug is a chemical substance, that when applied to a living creature, alters its body function. Many drugs are used daily, such as caffeine in coffee and aspirin for pain. A route of drug administration in pharmacology and toxicology is the path by which a drug is brought into contact with the body. The most critical issue is some drugs are not significantly absorbed into the bloodstream. There are thousands of questions on the drug diffusion in the bloodstream and the most common issue is how long will these micro particles drug be released from the tablet? Thus, to identify the rate of the drug release and to control the drug release in our body is important, where to meet the target and not to become a waste. The Computational Fluid Dynamics method was used to investigate the drug design and diffusion profiles with time during the process of degradation and diffusion in water

Inventory risk based technique for spare parts utilization

The equipment breakdown due to unavailability of spare parts has incurred challenges for the manufacturing industry in managing the inventory. Consequently, the problem of spare parts unavailability has lead the organization towards unproductive and eventually impact the financial performance.Therefore, maintaining good system has direct connection with spare parts availability. The inventory planner always strive hard to ensure that the spare parts are always available for the maintenance used.Nevertheless, maintaining high inventories of spare parts often conflict from meeting the needs of equipment reliability for the manufacturing plant.In view of this situation, management of spare parts become critical in ensuring the equipment reliability.This paper describes an innovative risk quantification technique using Binary Decision Diagram (BDD) for the spare parts inventory control.The technique modified the BDD concept by translating the failure history into binary decision.From the binary process, the data will be converted into spare parts probability table and failure impact is analyzed. These two functions of risk, will be calculated in order gain the risk in monetary value

Aplikasi teknik tempa dan peleburan dalam seni arca besi Raja Shahriman Raja Aziddin / Liza Marziana Mohammad Noh...[et.al]

Seni arca di alam Melayu lahir sebagai sebahagian kebudayaan manusia. Manusia menciptanya sebagai memenuhi keperluan spiritual dan estetika. Justeru pelbagai perkembangan bentuk dan makna dipersembahkan menerusi teknik dan bahan. Makalah ini menerangkan aplikasi teknik tempa dan peleburan yang pernah diwarisi oleh orang Melayu keatas kerja-kerja pertukangan besi di Alam Melayu. Teknik ini kemudiannya dikembangkan oleh Raja Shahriman Raja Aziddin seorang pengarca moden. Minat beliau ke atas teknik pembuatan senjata lama telah mempengaruhi pembentukan seni arcanya. Bagi menjelaskan situasi berikut, penulis menggunakan pendekatan deskriptif kualitatif melalui sumber-sumber bertulis dan kajian lapangan. Bagi mengumpul data tertulis mahupun visual, kaedah wawancara, pemerhatian dan perpustakaan digunakan. Signifikan kepada makalah ini untuk mendedahkan pembuatan seni arca kepada umum khususnya pengarca generasi baru supaya merujuk semula warisan pembuatan logam yang pernah di kuasai oleh pandai besi pada masa dahulu. Harapan dari makalah ini agar aplikasi pembuatan warisan bangsa tidak dilupakan malah terus subur dan di hargai generasi baru masa hadapan