Perancangan dan pembinaan bandar kolonial Georgetown Pulau Pinang / Ahmad Faisal Ismail

Penulisan kajian akhir ini terutamanya tertumpu kepada Senibina Kolonial tempatan, dihasilkan melalui pengkajian dan penganalisaan beberapa aspek secara dasar dan terperinci. Kaitan pensejarahan menentukan fakta dan pendapat berhubung dengan faktur-faktur yang membawa kepada kewujudan bentuk senibina tersebut di Malaysia. Bab yang seterusnya mengesan asal' usul dan latarbelakang kepada Senibina Kolonial. Sebagai kesimpulan, penulis akan cuba menerangkan teori bahawa Senibina Kolonial mempunyai ciri-ciri identiti sendiri perihal rekabentuk yanq dipenqaruhi oleh keadaan sekeliling terutamanya iklim dan budaya masyarakat. Kawasan Bandar George Town menjadi kes kajian disebabkan latarbelakang sejarah dan terdapatnya contoh-contoh bangunan yang sesuai bagi subjek kajian. Kajian akan meliputi perancangan awal bandar dan penganalisaan individu ke atas setiap bangunan yang dipilih. Dari itu, kajian akhir ini akan dapat memuatkan pensejarahan senibina sebuah kawasan, bermula dari penempatan awal; perancangan kawasan, dan; pembinaan bangunan-bangunan berserta faktur-faktur pengaruhnya

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes

Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. Several environmental factors are involved in determining drought classes at the specific monitoring station. Therefore, efficient sequence processing techniques are required to explore and predict the periodic information about the various episodes of drought classes. In this study, we proposed a new weighting scheme to predict the probability of various drought classes under Weighted Markov Chain (WMC) model. We provide a standardized scheme of weights for ordinal sequences of drought classifications by normalizing squared weighted Cohen Kappa. Illustrations of the proposed scheme are given by including temporal ordinal data on drought classes determined by the standardized precipitation temperature index (SPTI). Experimental results show that the proposed weighting scheme for WMC model is sufficiently flexible to address actual changes in drought classifications by restructuring the transient behavior of a Markov chain. In summary, this paper proposes a new weighting scheme to improve the accuracy of the WMC, specifically in the field of hydrology

Survey of musculoskeletal pain among dental clinician in Kulliyyah of Dentistry IIUM

This study aimed to determine the prevalent site of musculoskeletal pain and its associated risk factors among dental clinicians at the Kulliyyah of Dentistry, IIUM. A validated, pilot-tested self-administered questionnaires were distributed to 160 dental clinicians between March and June 2014 using convenience sampling method. Inclusion criteria includes dentist, clinical supervisors or clinical dental students. Dental clinicians whom were diagnosed with musculoskeletal disorders were excluded. Data obtained were recorded and analyzed using statistical package for the social science (SPSS) software version 19. Pearson correlation test was used to determine the association between the risk factors and pain sites. A total of 146 participants completed the questionnaire (91.3% response rate). The sample consist of 40 dentists (27.4%), 36 Year 3 students (24.7%) and 35 participants (24%) respectively from Year 4 and Year 5. There was high prevalence of neck pain (79.5%), back shoulder pain (74.7%) and lower back pain (71.9%) among dental clinicians. Significant correlation was found between physical activities with upper body region pain sites (r = 0.170, p=0.042) and lower body region pain sites (r = 0.221, p=0.008). There was a significant association between repetitive movements and wrist bending with upper and lower body region pain sites (r = 0.320, p = <0.001) (r = 0.278, p =0.001). No correlation between awkward postures with upper and lower body pain sites. This paper will relate to the Islamic teaching on moderation in working and in maintaining healthy lifestyle. The most prevalent site of musculoskeletal pain experienced by dental clinicians was at the neck area and the least was on the left arm. Repetitive movements, wrist bending and physical activities were associated with upper and lower body region pain sites

Optimized Load Balancing based Task Scheduling in Cloud Environment

The fundamental issue of Task scheduling is one important factor to load balance between the virtual machines in a Cloud Computing network. However, the optimal broadcast methods which have been proposed so far focus only on cluster or grid environment. In this paper, task scheduling strategy based on load balancing Quantum Particles Swarm algorithm (BLQPSO) was proposed. The fitness function based minimizing the makespan and data transmission cost. In addition, the salient feature of this algorithm is to optimize node available throughput dynamically using MatLab10A software. Furthermore, the performance of proposed algorithm had been compared with existing PSO and shows their effectiveness in balancing the load

Phrases in Arabic and Indonesian Language

This research is about differences and similarities of phrase construction in Arabic and Indonesian. The approach in this paper was a descriptive qualitative analysis approach. The findings of this study revealed that some construction of the phrase structure is the same. Subordinative noun phrases are equivalent to idhafah in Arabic, Indonesian adjective phrases are similar to na'at in Arabic, Indonesian coordinative phrases are similar with athaf in Arabic and Indonesian prepositional phrases are similar to syibhul-jumlah in Arabic. However, there are differences between both languages which can be found in Idhafah in Arabic, some vocabulary cannot be called phrases in Arabic, and vice versa. Differences can also be found in the use of athaf letters in the equivalent of coordinative phrases. The differences are also found in the numeral phrases and murakkab adadi. Even taukid and tarkib majazi do not have the equivalent in Indonesian. The differences are not only due to structural aspects, but also by differences in cultural concepts and expressions. This study implies that errors can be predicted in the construction of Indonesian student phrases and the production of translations of Arabic phrases that are different from the construction of Indonesian phrases. The differences were found not only in the structure but also in differences in cultural concepts. This study shows that mistakes can be predicted from the formation of phrases and the translation of Arabic sentences that are different from the structure of Indonesian language

Oral health status of children with type 1 diabetes: a comparative study

Background: The aim of this study was to compare the oral health status of children with type 1 diabetes and healthy controls. Methods: This comparative study involved 64 children, 32 children with type 1 diabetes and 32 age- and gendermatched controls. Oral health examination was conducted using WHO criteria. Dental caries experience was recorded using DMFT/dmft index and periodontal parameters were assessed using plaque, gingivitis, gingival bleeding and calculus indexes. Dental caries and periodontal parameters between the two groups were compared using the Mann-Whitney U-test. Results: Children with diabetes exhibited significantly greater plaque deposits (p = 0.01) and a higher mean plaque index (p < 0.01), when compared to healthy subjects. No significant difference in DMFT and dmft scores, mean bleeding index, calculus index and gingival index was found between the two groups. Conclusions: Children with type 1 diabetes had a poor oral health status with greater plaque accumulation than children without diabetes

Stem cells differentiation and probing their therapeutic applications in hematological disorders: a critical review

Numerous lines of evidence support that bone marrow is a rich source of stem cells that can be used for research purposes and to treat some complex blood diseases and cancers. Stem cells are a potential source for regenerative medicine and tissue replacement after injury or disease, and mother cells that possess the capacity to become any type of cell in the body. They are cells without specific structure and characterized by their ability to self-renew or multiply while maintaining the potential to develop into other types of cells. Stem cells can normally become cells of the blood, heart, bones, skin, muscles or brain. Although, there are different sources of stem cells, all types of stem cells have the same capacity to develop into multiple types of cells. Stem cells are generally described as unspecialized cells with unlimited proliferation capacity that can divide (through mitosis) to produce more stem cells. Several types of adult stem cells have been characterized and can be cultured in vitro, including neural stem cells, hematopoietic stem cells, mesenchymal stem cells, cardiac stem cells and epithelial stem cells. They are valuable as research tools and might, in the future, be used to treat a wide range of diseases such as hematological hereditary diseases, Parkinson's disease, diabetes mellitus, heart disease and many other diseases. Currently, two types of stem cells have been identified based on their origins, namely embryonic stem cells and adult stem cells. Collectively, although many kinds of literature have been studying stem cell application in terms of clinical practice, stem cell-based therapy is still in its infancy stage

INPAINTING OF DENTAL �PANORAMIC TOMOGRAPHY �VIA DEEP LEARNING METHOD

The tradition of image inpainting has existed for a long time; it is used to correct old and corrupted images. In recent times, progress in deep learning allows artificial neural networks to perform inpainting on clinical images to reduce image artifacts. In this paper, we demonstrated how various neural network models could perform inpainting on a dental panoramic tomography that was taken by using cone-beam computed tomography (CBCT). Experiments were done to compare the output of three different artificial neural network models: shallow convolutional autoencoder, deep convolutional autoencoder, and U-Net architecture. The dataset was taken from an open online dataset provided by Noor Medical Imaging Center. Qualitative assessment of the output shows that the U-net model reproduces the best output images with minimal blurriness. This result is also supported by the quantitative measurement, which shows that the U-net model has the smallest mean squared root error and the highest structural similarity index measure. The experiment results give an early indication that it is feasible to use U-Net to fix and reduce any image artifact that occurs in dental panoramic tomography