Pengaruh Pemberian Kompres Hangat Memakai Parutan Jahe Merah (Zingiber Officinale Roscoe Var Rubrum) Terhadap Penurunan Skala Nyeri Padapenderitagout Artritis Di Desa Tateli Dua Kecamatan Mandolang Kabupeten Minahasa

: Gout also known as gouthy arthritis, is a metabolic disease marked by the deposition of urate in joints, causing a painful arthritic joints. Giving compress done on arthritis, muscle spasms, flatulence, and coldness. The aims of this study is to determine the effect of warm compresses by using grated red ginger against of pain scale changes in patients with gout arthritis. Samples found 30 respondents. This research method using pre-experimental with One Group Pretest Posttest design, sample selection by purposive sampling. This study uses statistical analysis Wilcoxon Signed Ranks Test with α of 0.05. Results obtained p value of 0.000 where p <α 0.05 then H0 is rejected and it can be concluded that there is significant influence giving a warm compress using grated red ginger (Zingiber officinale roscoe rubrum var) to decrease the pain scale in patients with gout arthritis in the Tateli Dua village, sub Mandolang, Minahasa district. The conclusions of this study is to wear warm compress of grated red ginger (Zingiber officinale roscoe rubrum var) to decrease the pain scale in patients with gout arthritis

An In Vivo Study Of A Locally-Manufactured Hydroxyapatite -Based Material As Bone Replacement Material.

Synthetic HA has excellent biocompatibility, but it has limited application due to its low toughness and flexural strength. In order to improve the mechanical properties (impact resistance, and tensile strength), metals and other elements were added to HA

In Vivo Study of CORAGRAF: A Preliminary Results.

Natural coral is a bone graft substitute, which has been widely used' in maxillofacial, orthopaedic, ORL and periodontal surgery

Nutritive and anti-nutritive evaluation of Kleinovia hospita, Leucaena leucocephala abd Gliricidia sepium with respect to their effects on in vitro rumen fermentation and gas production

The nutritive and tannin content of tree forages (Kleinhovia hospita, Leucaena leucocephala, and Gliricidia sepium and their effects on in vitro rumen fermentation, digestibility and gas production were examined. Rumen fluid was obtained from three fistulated Boer goats with an average weight range of 31-32 kg fed forages. The fluid was incubated with 0.2 g of each forage at 39 °C for 48 h to determine the in vitro gas production, DM digestibility, metabolizable energy and volatile fatty acid. The proximate composition and the polyphenol composition of the forage were also evaluated. The experimental design was a completely randomized design and the treatments were K. hospita, L. leucocephala and G. sepium. The chemical composition, percentage of total polyphenol, non-tannin polyphenol, condensed tannin and hydrolysable tannin differed (P<0.05) among the forages. The K. hospita had higher (P<0.05) net gas production and in vitro dry matter digestibility compared with other forages. Similarly, K. hospita had higher (P<0.05) concentration of total volatile fatty acid and propionic acid followed by L. leucocephala and G. sepium. The molar proportion of acetic and butyric acid did not differ among the forages. The outcome of this study present K. hospita as a good potential forage to be used in ruminant diet as a result of better nutrient composition, moderate anti-nutritive value and best ivDMD in comparison with L. leucocephala and G. sepium

Effects of Dietary Oil Supplementation with Different Fatty Acid Profiles on Rumen Fibre Degrading Bacteria Population in Goats

Effects of dietary oil supplementation on the predominant rumen fibre-degrading bacteria population were investigated. In this experiment, rumen fibre-degrading bacteria population were evaluated on 16 fistulated male goats that were randomly assigned to four treatment groups: T1: control/basal diet (CNT); T2: basal diet + olive oil (OL); T3: basal diet + palm olein oil (PO); and T4: basal diet + sunflower oil (SF). The oil content was supplemented at 6% of DM bases. Rumen content was collected from each individual animal and the DNA was extracted accordingly. The number of rumen fibre-degrading bacteria was enumerated via real-time PCR method. Significant difference (P0.05) were observed for Ruminococcus albus in supplemented diet as compared to T1. The other two fibre-degrading bacteria, Fibrobacter succinogenes and R. flavefaciens were not highly affected by the supplementation of the dietary oils. This study has demonstrated that supplementation of dietary oils with differing fatty acid components has no impact on the predominant rumen fibre-degrading bacteria which benefit the animals by providing extra energy from the dietary oil supplementation without compromising the ability of rumen fibre digestion process

Forecasting of monthly marine fish landings using artificial neural network

Management of marine resources have gradually become more important during these past years because of the increased awareness of these resources becoming limited. Forecasting of fish landings is one of the many ways that can contribute to a better decision making for fisheries management. Being a renowned forecasting model, artificial neural network with back propagation was selected for this research with enhancement made by pre-processing the data using empirical mode decomposition. The monthly marine landings data of East Johor and Pahang which has 144 observations each, was gathered from the Department of Fisheries Malaysia website. A ratio of 92:8 was used to divide the data into training and testing sets. Data pre-processing was done in R software whereas the forecasting models were developed in MATLAB software. Results from the proposed model are then compared to a conventional artificial neural network using the root-mean-square error and mean absolute error values, wherein it was shown that the proposed model could outperform the conventional model

Assessment of multibeam backscatter texture analysis for seafloor sediment classification

Recently, there have been many debates to analyse backscatter data from multibeam echosounder system (MBES) for seafloor classifications. Among them, two common methods have been used lately for seafloor classification; (1) signal-based classification method which using Angular Range Analysis (ARA) and Image-based texture classification method which based on derived Grey Level Co-occurrence Matrices (GLCMs). Although ARA method could predict sediment types, its low spatial resolution limits its use with high spatial resolution dataset. Texture layers from GLCM on the other hand does not predict sediment types, but its high spatial resolution can be useful for image analysis. The objectives of this study are; (1) to investigate the correlation between MBES derived backscatter mosaic textures with seafloor sediment type derived from ARA method, and (2) to identify which GLCM texture layers have high similarities with sediment classification map derived from signal-based classification method. The study area was located at Tawau, covers an area of 4.7km2, situated off the channel in the Celebes Sea between Nunukan Island and Sebatik Island, East Malaysia. First, GLCM layers were derived from backscatter mosaic while sediment types (i.e. sediment map with classes) was also constructed using ARA method. Secondly, Principal Component Analysis (PCA) was used determine which GLCM layers contribute most to the variance (i.e. important layers). Finally, K-Means clustering algorithm was applied to the important GLCM layers and the results were compared with classes from ARA. From the results, PCA has identified that GLCM layers of Correlation, Entropy, Contrast and Mean contributed to the 98.77% of total variance. Among these layers, GLCM Mean showed a good agreement with sediment classes from ARA sediment map. This study has demonstrated different texture layers have different characterisation factors for sediment classification and proper analysis is needed before using these layers with any classification technique

Comparison between MEMD-LSSVM and MEMD-ARIMA in forecasting exchange rate

Due to the non-stationary and non-linearity behaviors of exchange rate data, an appropriate forecasting model that can capture these behaviors is crucial. This paper comparing the performance of modified empirical mode decomposition (EMD) and autoregressive integrated moving average (ARIMA) named as MEMD-ARIMA and modified empirical mode decomposition (EMD) and least squares support vector machine (LSSVM) named as MEMD-LSSVM in forecasting daily USD/TWD exchange rate. EMD technique is firstly used to decompose the exchange rate data that resulting in few intrinsic mode function (IMF) and one residual. In order to improve the result of the EMD so that more effective input can be provided to the forecasting models which are LSSVM and ARIMA, they are clustered into several groups via permutation distribution clustering (PDC). The successfulness of LSSVM in forecasting is depending on the input number selection. The problem is the input number selection is not based on any theories or techniques. Therefore, partial autocorrelation function (PACF) is used in this paper in determining the best number of input for LSSVM. This paper finds that the implementations of PDC has improved the performance of EMD-LSSVM and EMD-ARIMA and also suggest the PDC is suitable either for linear or non-linear model

Case Report Congenital Insensitivity to Pain without Anhidrosis: Orodental Problems and Management

This paper reports the case of a 4-year-old male patient who was brought by parents requesting for replacement of multiple missing anterior teeth. The patient suffered from congenital insensitivity to pain without anhidrosis and presented with full blown sequelae of the condition in the form of oral self-mutilation leading to loss of teeth, tongue tip amputation, finger tips destruction, and lower limb wound infections. Dental and orthopaedic treatment consists of local management of oral wound and prevention from further oral and finger injuries that takes the form of dental splints and finger sleeve splints, constant feet coverage with shoes, and behavioural medical therapy. The age of the patient and parents&apos; education present challenges in managing this condition to avoid morbidity and premature mortality