Intestinal and Blood Parasites of Man in Timor

Survey tinja dan darah dipulau Timor guna menentukan distribusi dan prevalensi penyakit parasit diantara penduduk telah dilakukan pada bulan Juli dan Agustus tahun 1972 sebagai kelanjutan dari deretan survey yang dilakukan oleh Direktorat Jenderal Pencegahan Pemberantasan Penyakit menular Departemen Kesehatan, Bagian Parasitologi dan Pathologi Umum Fakultas Kedokteran Universitas Indonesia dan US Namru-2 di Indonesia. Sejumlah 445 sediaan tinja untuk pemeriksaan parasit usus, 581 sediaan darah untuk pemeriksaan parasit malaria dan 663 sediaan darah untuk pemeriksaan parasit filaria telah diambil dari penduduk cara merata di 7 desa pada 3 kabupaten di Timor, Nusa Tenggara Timur. Enam puluh delapan per cent diantara penduduk melihatkan satu atau lebih parasit usus didalam tinjanya dimana cacing tambang merupakan parasit usus yang terbanyak. Ascaris lumbricoides ketemukan jauh lebih kurang daripada di Jawa, Sumatra dan Sulawesi, juga diketemukan perbedaan itara "intestinal parasite rate" di Timor Indonesia dan Timor Portugis. Dua belas percent penduduk yang diperiksa melihatkan parasit malaria didalam darahnya sedangkan parasit filaria ditemukan sebanyak 8 percent. Plasmodium falciparum merupakan parasit malaria yang terbanyak ditemukan, ia jenis parasit fdaria yang ditemukan adalah "Timor microfilaria" dan Wuchereria bancrofti dimana yang pertama merupakan parasit yang terbanyak diantara penduduk yang diperiksa

Rearrangement of Coordinate Selection for Triangle Features Improvement in Digit Recognition

Triangle geometry feature demonstrated as useful properties in classifying the image. This feature has been implemented in numerous recognition field such as biometric area, security area, medical area, geological area, inspection area and digit recognition area. This study is focusing on improving triangle features in digit recognition. Commonly, triangle features are explored by determining three points of triangle shape which represent as A, B and C to extract useful features in digit recognition. There is possibilities triangle shape cannot be formed when chosen coordinate are in line. Thus, a prior study has proposed an improvement on triangle selection point technique by determining the position of coordinate A, B and C use gradient value to identify the triangle shape can be modelled or vice versa. The suggested improvement is based on the dominant distribution which only covers certain areas of an image. Hence, a method named Triangle Point using Three Block (Tp3B) was proposed in this study. The proposed method proposes the arrangement of selection coordinate point based on three different blocks which where all coordinates points of an image were covered. Experiments have developed over image digit dataset of IFCHDB, HODA, MNIST and BANGLA which contains testing and train data of each. Features classification accuracy tested using supervised machine learning (SML) which is Support Vector Machine (SVM). Experimental results show, the proposed technique gives a promising result for dataset HODA and MNIST

Non-Functional Requirement Traceability Process Model for Agile Software Development

Agile methodologies have been appreciated for the fast delivery of software. They are criticized for poor handling of Non-Functional Requirements (NFRs) such as security and performance and difficulty in tracing the changes caused by updates in NFR that are also associated with Functional Requirements (FRs).This paper presents a novel approach named Traceability process model of Agile Software Development for Tracing NFR change impact (TANC). In order to validate TANC’s compatibility with most of Agile process models, we present a logical model that synchronizes TANC with the two of enhanced models: secure feature-driven development (SFDD) and secured scrum (SScrum).Then, we conducted a case study on TANC using a tool support called Sagile. In terms of adaptability with agile process model, the logical model could be depicted in SFDD and the case study proved that TANC is carried out successfully in SFDD

Document Feature Extraction Based on Unoccupied Space Using Triangle Model: A Preliminary Work

Document identification is used to extract information from a digital document such as Al-Quran, articles, agreement and so on. With increasing digital documents on the internet, it is important to identify that the document is genuine or not. There is existing research on document identification. However, the problem occurs when character recognition is done for particular language only and it is hard to recognize the character when the image dataset size was small. Therefore, the purpose of this research is to make use the similarities of each character language which is unoccupied space as the document feature extraction using triangle model. As for the preliminary work, the objective is to obtain a list of point selection that will be used for triangle model from the generated histogram. This research using an experimental design, the dataset was chosen is own dataset which document image will be used and IFN/ENIT dataset in order to handle the small size dataset. While the techniques involve is Otsu’s Model and histogram normalization. Experiments were conducted on own dataset word segment of documents. The results were able to obtain a list of point selection for both histograms vertical and horizontal. This tool is able to recognize document from other language documents

Alpha-Glucosidase Enzyme Biosensor for the Electrochemical Measurement of Antidiabetic Potential of Medicinal Plants

A biosensor for measuring the antidiabetic potential of medicinal plants was developed by covalent immobilization of α-glucosidase (AG) enzyme onto amine-functionalized multi-walled carbon nanotubes (MWCNTs-NH(2)). The immobilized enzyme was entrapped in freeze-thawed polyvinyl alcohol (PVA) together with p-nitrophenyl-α-d-glucopyranoside (PNPG) on the screen-printed carbon electrode at low pH to prevent the premature reaction between PNPG and AG enzyme. The enzymatic reaction within the biosensor is inhibited by bioactive compounds in the medicinal plant extracts. The capability of medicinal plants to inhibit the AG enzyme on the electrode correlates to the potential of the medicinal plants to inhibit the production of glucose from the carbohydrate in the human body. Thus, the inhibition indicates the antidiabetic potential of the medicinal plants. The performance of the biosensor was evaluated to measure the antidiabetic potential of three medicinal plants such as Tebengau (Ehretis laevis), Cemumar (Micromelum pubescens), and Kedondong (Spondias dulcis) and acarbose (commercial antidiabetic drug) via cyclic voltammetry, amperometry, and spectrophotometry. The cyclic voltammetry (CV) response for the inhibition of the AG enzyme activity by Tebengau plant extracts showed a linear relation in the range from 0.423–8.29 μA, and the inhibition detection limit was 0.253 μA. The biosensor exhibited good sensitivity (0.422 μA/mg Tebengau plant extracts) and rapid response (22 s). The biosensor retains approximately 82.16 % of its initial activity even after 30 days of storage at 4 °C

Triangle Geometry Method Based Dominant Distribution Foreground for Digit Recognition

Digit recognition has been studied for four decades ago. Many approaches and techniques such as Hidden Markov Model, Neural Network, back-propagation and k-nearest neighbor have been applied to recognize the digit images. Recently, the triangle geometry method has been applied to extract features from triangle properties such as ratio, angle and gradient. However, a problem in determining points of a triangle was triggered due to the points’ position in straight line. Thus, a method of extracting triangle features using triangle geometry based on the dominant of distribution foreground for digit recognition has been proposed. The dominant of distribution foreground is referred to the digit of ‘0’ which is represented as a foreground image during the binarization process. The process to determine the triangle points are based on the dominant of distribution foreground. The classifiers of Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) are used to measure the classification accuracies for four types of digit datasets which are HODA, IFCHDB, MNIST, and BANGLA. The comparison results classification of accuracies demonstrated the effectiveness of our proposed method

Text Line Segmentation for Mushaf Al-Quran Using Hybrid Projection Based Neighbouring Properties

Text line segmentation is an important step in document image processing. Its part of the pre-processing stage to prepared the images before throughout either feature extraction or classification images. In this paper, we present a method of line segmentation for Mushaf Al-Quran text using a hybrid projection based neighbouring properties. This is based on the pixel, object and histogram properties. This method will identify overlaps between neighbouring text lines and segment each line with precision. Overlap caused by interfering with diacritical marks or stroke of the Arabic word must be properly segmented without change the original meaning of the text. Experimental results show the validity of our method

Antidesma montanum: biochemistry and bioactive compounds

Antidesma montanum is commonly known as a mountain currant tree. Its fruits and leaves are utilized locally for food and traditional medicine, meanwhile the stem is used as source of wood. The fruit contains bioactive constituents of steroid glycosides, saponins, flavonoids, polyphenols and tannins that exhibited higher antioxidant activity than at certain concentrations of standard antioxidants (i.e. vitamin E, ascorbic acid, and trolox). The leave extracts known to inhibit the activities of α-amylase and α-glucosidase in diabetic therapy. Furthermore, the leave extracts also possessed scavenging activity against both hydroxyl and superoxide anion radicals, and inhibited the nitric oxide production. Meanwhile, another studies reported on the anti-inflammatory effect of Antidesma montanum, being used to treat eye diseases, and relieving chest pain. The leaves are used externally against headache and thrush in children, for diuretic and removing kidney stone, anti-dermatitis and skin disease curing effect. A tea from the leaves is used as a tonic for mothers after giving birth and applied topically to ulcers and lumbar pains. The roots are used to treat measles, chickenpox, malaria, and stomach ache. Nevertheless, extensive research is needed to confirm the reputed beneficial effects of Antidesma montanum in traditional medicine