bluuebunny/crossref_metadata_2025 huggingface dataset:
Integrated Energy Service Platform Under the Umbrella of Ubiquitous Power Internet of Things
Authors: Siwu Li , Linzhi Xie , Xiaodi Ma , Xiaobing Zhou , Yulin Yan , Chan Pan
Published: November 2019

Integrated energy service is the trend and direction for grid companies to participate in the energy market competition and seek their own transformation. The construction and improvement of Ubiquitous power Internet of things is the basis for grid enterprises to gain advantages in the competition of integrated energy services. In the past, the literature usually focused on technical explanations and application scenarios. This paper first constructed a comprehensive Ubiquitous power Internet of Things ecosystem and further explored the role of the integrated energy service platform.
Numerical study of the methane-air combustion in the direct-flow burner of the boiler 300 MW TGMP-314 boiler
Authors: Fomenko N E , Jovicic Vojislav , Prokhorov V B , Fomenko M V
Published: November 2019

This paper presents the results of the numerical simulation of the methane-air combustion in the direct-flow burner. The construction of the burner was proposed by the Department of Thermal power plants MPEI for organization the staged combustion. the burners are designed for installation on boiler 300 MW TGMP-314 at thermal power plane in Moscow. The simulation of five modes of operation of the burner depending on the boiler load was carried out using modern packages of computational fluid dynamics ANSYS. The goal of this work is to investigate effects of replacement of existing vortex burners in previously described facilities with the direct-flow burners with organization of the new combustion process. As results after the simulation, the parameters of the numerical values of the turbulence parameters and the mass fractions of various substances for the gas-air flow in the boiler inlet plane was obtain. On the basis of the obtained results analysis of the proposed design of the burner was made. Numerical values of the parameters of the gas-air flow in the plane of the inlet to the boiler will be used later as input data for the numerical simulation of the boiler furnace.
Development M-shaped profile for A-USC steam boiler
Authors: Volkov E P , Chernov S L , Fomenko N E
Published: November 2019

Department of Thermal Power Plants of MPEI proposed the concept of a boiler of 1000 MW for steam generation advanced ultra-supercritical parameters M-shaped profile. In this boiler it is proposed to make an invert boiler furnace. Output main and secondary steam header are proposed to be placed under inclined boiler passes as close as possible to the cylinders of the steam turbine. The feasibility of using advanced ultra-supercritical parameters is associated with the possibility of increasing the efficiency of the power unit by 4.2%. The paper describes the location of the designed s heat exchangers, the movement of water and steam, flue gases along the path of the boiler. Also given are the results of calculations of the proposed layout of the boiler, as the temperature of the working medium and flue gases at the inlet and outlet to the surface, the flue gas temperature at the inlet and outlet to the surface, the numerical values of the heat loss of the boiler, affecting the efficiency of the boiler. The calculated boiler efficiency is 93.07%. The description of the proposed fuel combustion scheme, which is a system of vertical-horizontal tangential torches, is also given.
Investigation of unsteady heat transfer in a porous medium of a discontinuous heater
Authors: Koroleva A P , Frantsuzov M S
Published: November 2019

This paper presents the results of determining the features of heat transfer on the example of a discontinuous heat exchanger with ball filling, used to generate a high-enthalpy flow. In the first part, we developed a one-dimensional mathematical model (an improved model of Schumann) unsteady heat transfer in a porous medium taking into account heat wall heater cooperage. An analytical solution is found in the quadratures of the system of partial differential equations. The second part of the paper is devoted to numerical modeling. The influence of empirical coefficients on heat transfer was revealed. The results of numerical simulation were compared with the results of one-dimensional mathematical model. As a result of the computational study, the correspondence and differences in thermal and hydrodynamic processes using one-dimensional differential models and numerical modeling are established. A significant influence of empirical coefficients on the qualitative and quantitative nature of the temperature distribution of the gas and the solid matrix over time was revealed. The correspondence of results between two approaches is established: the solution of differential equations and numerical modeling. On the basis of the analysis the applicability of mathematical models of different levels for solving a certain class of problems is established.
Plasma flow from vacuum surface flashover initiated by 70-kV 20-ns pulses
Authors: Punanov I F , Emlin R V , Morozov P A
Published: November 2019

In this work we study plasma beams generated by vacuum surface flashover discharge. We measured ionic current, velocity of ions at values of discharge current 2.8 kA and 5.5 kA for polymethylmethacrylate (PMMA), polytetrafluorethylene (PTFE) and polyethylene (PE). The aim of the work is to compare parameters of particle flows at different values of discharge current and unchanged voltage. We used generators with coaxial and disk-shaped glycerol-filled pulse-forming lines. Maximum voltage is 70 kV; voltage pulse duration is 20 ns; width of a current pulse first half wave is 30 ns. Average velocity of the ions for all materials is within the range ∼ 100−150 km/s and doesn’t change significantly as the current increases from 2.8 kA to 5.5 kA. Ion current of the beam increase approximately linearly at higher discharge current. We estimate the density of electrons in plasma as a function of distance from the discharge. The applicability of this type of discharge for creating plasma for neutralizing high-power ion beams in inertial confinement fusion facilities is discussed.
The effect of microwave discharge on subsonic gas flow with different power characteristics
Authors: Vinogradov V A , Komratov D V , Yu Chirkov A
Published: November 2019

The results of the study of the effect on the subsonic flow in the transition microwave diffuser for controlling the boundary layer and restructuring the flow are presented. The effect of various ways of installing antennas in the channel and the power in the discharge from the minimum to the maximum in a pulse-continuous generation mode is shown. Impact assessment was carried out according to the total pressure in the outlet section of the channel.
Research of wetting on micro- and nano-scale coating
Authors: Kiselev A S , Kuzma-Kichta Y A
Published: November 2019

Surfaces with porous coatings are used to improve heat transfer during boiling and transportation of liquid to the drained areas [1]. Effectiveness of coatings will depend on their wetting. The aim of the work is to study the characteristics of wetting. Wetting angle and capillary rise liquid height are measured for surfaces with micro arc oxidation coating, microporous sintered coating and coated with aluminum oxide nanoparticles (Al2O3) in work.
Reactor graphite processing in low-temperature gas-discharge plasma
Authors: Shavaleev M R , Barbin N M , Terentyev D I , Dal’kov M P , Alexeev S G
Published: November 2019

Graphite elements of nuclear power plants accumulate in time a small amount of uranium, radionuclide conversion elements, as well as fission products, which creates additional difficulties in the utilization of graphite masonry. We proposed a new method of processing, based on high-temperature separation in a nitrogen atmosphere. The processing consists in heating the radioactive graphite in an inert nitrogen atmosphere to a temperature of 2873 K, which creates the necessary conditions for the separation of radionuclides from carbon.
Use of methane-hydrogen mixtures for energy accumulation
Authors: Dunikov D O , Blinov D V
Published: November 2019

Hydrogen-methane mixtures draw attention due to an idea of injection of hydrogen into natural gas network, thus lowering the need of huge investing in development of hydrogen infrastructure. Extraction of hydrogen from dilute mixtures with natural gas differs from traditional separations, since hydrogen concentration is low. Due to selective absorption of hydrogen from the feed, epy metal hydrides purification achieves high values of separation efficiency. We have experimentally demonstrated successful separation of the hydrogen (10%) – methane (90%) mixture at inlet pressure 9.5 bar by the LaNi4.8Mn0.3Fe0.1 intermetallic compound in one step with roundtrip (absorption/desorption) hydrogen recovery 74% and absorption hydrogen recovery 76%.
Formation of inelastic scattered background photoelectrons, X-ray photoelectron spectroscopy from multilayer inhomogeneous surface
Authors: Lubenchenko A V , Ivanov D A , Lubenchenko O I , Ivanova I V
Published: November 2019

In this work, a new method of background subtraction in XPS is suggested considering multiple inelastic scattering in a multilayer inhomogeneous target. The method is based on solution of the problem of multiple inelastic photoelectron scattering in a multilayer plane-parallel target. For a overlayer/substrate system, formulae for subtraction of background generated by multiple inelastic photoelectron scattering are found. It is shown that backgroundы of a spectral line of photoelectrons emitted from the overlayer and emitted from the substrate and inelastically scattered in the overlayer differ significantly.
Experimental and numerical study of heat and hydraulic characteristics of low head natural circulation loops with single-phase flow of working liquid
Authors: Sukomel L A , Kaban’kov O N , Ankudinov V B
Published: November 2019

A 2D numerical simulation of velocity and temperature fields for laminar low flow regimes have been carried out for laboratory experimental natural circulation loop with vertical electrically heated circular tube as flow up section. Calculations have been done for the case of full-length heating of flow up section at constant heat flux density on the heated wall. The variant of loop design with negligibly small hydraulic losses due to local drag reduction and friction on down comer compared with hydraulic losses due to friction in flow up tube has been considered. Laminar flow regime as the regime of most complex friction factor behaviour in buoyancy driven flows was the subject of the analysis. On the basis of calculated velocity and temperature fields in heated zone the longitudinal change of friction factor and heat transfer coefficients have been determined. In general, according to 2D numerical simulation the wall shear stresses are mainly affected by the change of wall velocity gradient due to practically continuous velocity profiles deformation along the whole heated zone. The form of velocity profiles and the extent of their deformation in its turn depend upon the wall heat flux density and the hydraulic diameter. It is shown that in single-phase natural circulation loop where fluid flow is governed exclusively by buoyancy forces wall shear stresses change along the heated zone in a complex way and friction factor for use in 1D calculations can not be described by simple correlations in the form of ξ = a/Reb. In all calculated regimes including the lowest considered wall heat flux density the Nusselt numbers exceeds that for stabilized forced flow with constant thermophysical properties. After decreasing with the distance from the inlet to the heated section Nusselt numbers achieve minimum values and then start to increase.
Analysis of XPS and REELS spectra of beryllium
Authors: Afanas’ev V P , Gryazev A S , Kaplya P S , Yu Ridzel O , Rybakova A V
Published: November 2019

The differential inverse inelastic mean free paths (DIIMFP) of beryllium were derived from energy spectra acquired using X-ray photoelectron spectroscopy and electron energy loss spectroscopy techniques by means of the fitting of calculated spectra to experimental data. The calculation of the energy spectra is performed employing the partial intensity approach (PIA). The EELS and XPS spectra were acquired in different laboratories using different Be samples. The comparison of the obtained DIIMFPs with literature data is presented.
Feature Extraction Using Discriminant Graph Laplacian Principal Component Analysis with Application to Biomedical Datasets
Authors: Aminu Muhammad , Ahmad Noor Atinah
Published: November 2019

In this paper, we propose a manifold learning method called discriminant graph Laplacian principal component analysis (DGLPCA) for feature extraction. The proposed method projects high dimensional data into a lower dimensional subspace while preserving much of the intrinsic structure of the data. Moreover, DGLPCA integrates maximum margin criterion into its objection function to improve class separability in the lower dimensional space. The effectiveness of the proposed method is demonstrated on two publicly available biomedical datasets taken from UCI machine learning repository. The results show that our proposed method provides more discriminative power compared to other similar approaches.
Automated Intelligent Diagnostic Procedure for Chronic Leukemia
Authors: Pooi Chan Lok , Mashor Mohd Yusoff , Adollah Robiyanti , Hassan Rosline
Published: November 2019

Due to growing statistics and the important role of early diagnosis for chronic Leukemia, an automated intelligent diagnostic procedure for chronic Leukemia is needed. This paper presents an automated procedure for this diagnostic system which consisted of four main stages; namely Image Segmentation, Feature Extraction, Feature Selection and Classification. Colour Thresholding and Gradient Edge Detection were applied to segment the nucleus of white blood cells from the image. A total of 548 cells nuclei were extracted from 100 images and used to develop and validate the proposed procedure. Three feature selection algorithms and three classifiers were analyzed and evaluated in order to obtain a reliable and robust automated diagnostic procedure. Based on the results, the ReliefF algorithm was selected and applied for feature selection, the method yields the best accuracy of 98.1% for testing accuracy. Besides, the selected classifier was Multilayer Perceptron (MLP) network trained by Levenberg Marquardt (LM) algorithm.
Gender Prediction by Speech Analysis
Authors: Nazifa Nur Adlin , Fook Chong Yen , Chin Lim Chee , Vijean Vikneswaran , Kheng Eng Swee
Published: November 2019

Speech is one of the important methods of communication for humans. The speech signal itself contain linguistic information that can be used to identify the speaker information such as gender, emotions and many more. There are some problems that involve in detection gender of the speaker. In forensic analysis, the police need to detect criminal profile from any evidence such as voice from any calls and while in healthcare aspect, some vocal fold pathologies can be bias to a particular gender such as vocal fold cyst can be seen particularly in female patients and the patient will have problem with their voices. Three features are extract from the speech signal which are Mel Frequency Cepstrum Coefficient (MFCC), Linear Prediction Coding (LPC) and Linear Prediction Coding Coefficient (LPCC). While for the classification, two classifier are used which are Support Vector Machine (SVM) and k-Nearest Neighbour (KNN). The recognition rate is higher for the combination of MFCC and LPCC compared to other features. SVM classifier had outperformed KNN classifier and obtained highest recognition rate of 97.45%. Lastly a graphical user interface system is develop that will record the voice of the speakers, pre-process the signal, extract MFCC and LPCC and classify it using SVM.
Study on Pulse Electric Field Exposure Effect on HeLa Cells For Wound Healing Application
Authors: Jamil Muhammad Mahadi Abdul , Zaltum Mohamed A. Milad , Youseffi Mansour , Javid Farideh
Published: November 2019

This study investigated the effect of pulse electric field (PEF) exposure on cervical cancer cells (HeLa cells) in an in-vitro wound repair model. The study mainly focused on the healing time of HeLa cell line wound model. During the experiments HeLa cells were maintained at 37°C in a modified Chamlide EC magnetic chamber where they were exposed to high electric fields. A Nikon inverted microscope (Ti-series) with Metamorph® time lapse software were used to monitor, image and capture photomicrographs and videos of the cells. The tests carried out during this study revealed that pulse electric field enhanced the migration of HeLa cells. Cells exposed to PEF (1kV/cm, 100μs, and single pulse) healed the wound in ∼2 hours (from initial wound gap of 54.53μm ± 0.55SD to 0.66μm ± 0.61SD). On the other hand, non-PEF (control) healed the wound in ~10 hours (from initial wound gap of 56.33μm ± 0.57SD to 0.46μm ± 0.45SD). It was therefore found that the healing rate with PEF is ∼five times faster than non-PEF group. It is believed that PEF usage on diseased biological cells would enable a novel method for assisting drug free wound repair systems and many other potential biomedical engineering applications such as treatment of neurological disorders including Alzheimers and Parkinsons.
Smart Medical Chatbot with Integrated Contactless Vital Sign Monitor
Authors: Zaki Wan Muhamad Asyraf Wan , Shakhih Muhammad Faiz Md , Ramlee Muhammad Hanif , Wahab Asnida Ab
Published: November 2019

Artificial intelligence is one of the important fields in modern technologies to help us strive for better life. Healthcare industries nowadays spend a lot of money researching on how artificial intelligence can help improve their services and give the highest satisfaction to their customers. Most healthcare organisations have a passive relationship to their patients when it comes to communication and this situation is often worsened because of a lack of inter-operability between client and provider. Mobile applications on the other hand have become one of the effective strategies in bridging the interaction between provider and end user. In this study, an automated self-learning system is designed to provide conversational healthcare for personalised proactive experience. This system is developed along with the in cooperation of contactless monitoring device using a vision-based real-time monitoring of vital signs which allow patients to monitor their oxygen level, heart rate and respiration rate. This system is also automatically calibrated across patients, allowing precise measurement using highest probability method and natural language processing. Results obtained from the comparative analysis show a promising result with an error of 1.16 for pulse sensor and 2.917 for ECG which are below the threshold error. This allows user to accurately measure vital signs in a non-obtrusive way, and to provide them with the data required to determine to the right timing for any intervention procedure needed. The developed system would also help to bridge the gap of interoperability between client and medical provider.
Segmentation of Irrelevant Regions Using Color Thresholding Method: Application in Breast Histopathology Images
Authors: Jian Tan Xiao , Nazahah Mustafa , Yusoff Mashor Mohd , Shakir Ab Rahman Khairul
Published: November 2019

Segmentation of irrelevant regions in the breast histopathology image is essentially performed in preliminary or post processing stages. This study presents a color thresholding method to segment the irrelevant regions, specifically blood cells and hemorrhage in the RGB breast histopathology images. The conventional gray level global thresholding method was extended to color images by modifying the thresholding algorithm. The color thresholding method was performed by decomposing the RGB input image into coherent regions based on similarity in color feature. Area Overlap Measure (AOM) and Combined Equal Importance (CEI) are two statistical metrics used to evaluate the performance of the color thresholding method. The obtained AOM and CEI for the overall dataset in blood cells are 0.92 and 0.89, respectively. The color thresholding method is found to be effective and is able to produce plausible thresholding results in segmentation of irrelevant regions in RGB breast histopathology images.
Prediction of Parkinson’s disease using Ensemble Machine Learning classification from acoustic analysis
Authors: Patra Amit Kumar , Ray Ratula , Abdullah Azian Azamimi , Dash Satya Ranjan
Published: November 2019

Parkinson’s disease (PD) is a neurodegenerative disorder, which upon progression affects the movements. Tremors associated with Parkinson’s disease are the major symptoms to look out for in such cases. This generally results in breakdown of the neurons producing dopamine. Qualitative speech starts to decline as the disease progresses and the variability in the vocal cord vibration (also known as fundamental frequency) starts to occur. People with PD have shown to produce greater variability in frequency as compared to normal people. In our paper, we are focused on comparison of the voice measurement features of patient dataset to understand whether a patient is suffering from PD or not using Machine Learning classifiers. We have implemented Decision Trees, Logistic Regression and K-nearest neighbors as base classifiers and have compared their performance with Ensemble learning classifiers Bagging, Random Forest and Boosting. We have compared the accuracy (%) of the classifiers and discussed which one of them is more accurate at predicting the outcome of the disease. We also found out the most relevant features associated with the classification and ranked them based on feature importance. Our main aim here is the classification of healthy individuals from people suffering from PD by detection of dysphonia (difficulty in speaking due to declining health conditions).
Determination of Fracture Risk on Patient-specific Model of Femur with Osteogenesis Imperfecta
Authors: Ahmad Siti Fatima Zahra’ , Som Mohd Hanafi Mat , Basaruddin Khairul Salleh , Daud Ruslizam , Awang Mohd Shukrimi
Published: November 2019

Osteogenesis Imperfecta (OI) is a group of genetic disorder that affects the bones. It causes bone to break easily. For severe case, it can lead the patient to death. However, doctors still have no quantitative method to predict fractures. Therefore, this study aims to investigate the fracture risk for OI femoral bone under load of activities in daily living and various loading direction. A finite element model reconstructed from radiography CT images was developed. The variations of daily activities were subjected to the femoral model. In standing and walking configuration, the model of OI has the ability to perform without having any fracture. However, during jumping, both configurations cause the OI femoral fractured. We can conclude that when the OI patients more active in their daily life, the higher chances for fracture to occur. The risk of fracture increases with increasing the intensity of the activity. Thus, early prediction of fracture risk could help prevent or treating fracture for OI patients.
An Automated Segmentation and Counting of Ki67 Cells in Meningioma Using K-Means Clustering Technique
Authors: Dzulkifli Fahmi Akmal , Mashor Mohd Yusoff , Jaafar Hasnan
Published: November 2019

Meningioma is a type of primary brain tumours. The meningiomas account for about one-third of all primary brain tumours. Image segmentation plays an important role in image analysis, especially detecting the tumours or cancerous areas in medical images. The output images from the segmentation prominently affect the system in detecting the tumour cells. Currently, the pathologists use the ‘eye-balling’ estimation technique to count the Ki67 cells. This technique was known as a time-saving measure. However, it has poor reliability and accuracy in counting the Ki67 cells. This paper proposed an automatic Ki67 cell counting in meningioma by using k-means clustering approach. The k-means clustering was used to segment the Ki67 cells and then the cells were classified into positive and negative Ki67 cells. The proposed system has been tested on 12 histopathological meningioma images. The proposed system is compared to the manually segmented images that have been validated in prior by the pathologists. The results show that the proposed system was able to segment the Ki67 cells with an average accuracy of 95.29%. The sensitivity and specificity of the proposed system were also high with an average of 93.56% and 97.39%, respectively.
Feature detection of mitral valve based on image processing technique: A review
Authors: Mahadi Lina Farhana , Ibrahim Nabilah , Zaluwi Mohd Thariq , Johan Muhammad Haniff S.M.
Published: November 2019

Mitral valve prolapse is a standout amongst the most common heart conditions, which may influence up to five to 10% of typical populace and a standout amongst the most questionable ones. The advent of computer aided technologies has contributed widely in medical application. This paper discussed on a methodological study on medical image processing to evaluate accurate diagnosis in the field of computer vision. The fundamental of image processing is to enhance the raw images obtain from machine so the useful information can be extracted from it. This paper deals with the application of the image processing on mitral valve images for further research purpose. Ultrasound data taken with subject diagnosed by mitral valve disease is analyse to determine the diameter of the valve. Based on the experiment, the average of mitral valve diameter is 21.82 mm which represent the abnormal length of mitral valve for adult.
Optimization of Dual Pathway AV Nodal Conduction Model
Authors: Ryzhii Maxim , Ryzhii Elena
Published: November 2019

In this work we tested our previously proposed heterogeneous oscillator model of atrioventricular node with respect to dual pathway physiology in order to optimize the model parameters. For this purpose we compared three model variants with different number of pathway node elements represented by nonlinear Aliev-Panfilov equations. The parameters controlling coupling between the pathway elements and the refractoriness of the fast pathway were selected for each model variant to obtain qualitative correspondence to the all range of functional atrioventricular node behavior. The results demonstrate that all considered model variants are able to reproduce normal cardiac signals conduction, AV node reentry, automaticity (pacemaking) and filtering function. However, the model variant with smallest number of the pathway elements better correspond to human electrophysiology, in particular to filtering high atrial rates by AV node. In addition, it is preferred for use in low-power systems with real-time simulations, such as ICD and pacemaker validation and testing hardware, as well as for educational and research purposes.
Effect of Water Content in Methanol on The Performance and Exhaust Emissions of Direct Injection Diesel Engines Fueled by Diesel Fuel and Jatropha Oil Blends with EGR System
Authors: Firmansyah Johan , Syaiful  , Yohana Eflita
Published: November 2019

Diesel engines are usually used because of their durability and high efficiency. Therefore the number of diesel engine uses is increasing. This results in an increase in the amount of diesel fuel consumption and air pollution from diesel engine exhaust gases, especially soot emissions. To reduce this soot emission, methanol which is rich in oxygen is added to diesel. The substitution of alcohol into diesel has an impact on the performance of the diesel engine. Therefore, this study is focused on investigating the effect of water content in methanol on diesel engine performance and soot emissions. The study was conducted using an Isuzu 4JB1 diesel engine equipped with a cold EGR system. The ratio of the diesel-jatropha-methanol mixture used is 55/30/15% on a volume basis. While the water content in methanol used is 0 to 25% at a 5% interval. The test is carried out at a stationary 2500 rpm and given a load of 25% to 100% at a 25% interval. A dynamite Land & Sea dynamometer and stages 898 smoke meter were used to measure performance and soot emissions. The experimental data shows that the higher water content in methanol in the mixture of diesel-jatropha-methanol fuel causes a reduction in performance and an increase in soot emissions of diesel engines.
Study of Desiccant Rice Husk Ash for Air Conditioning System
Authors: Syahbardia  , Fajar Berkah TK , Winoto SH. , Suryo MSK.Tony , Abdurrachiim L.
Published: November 2019

Indonesia is one of the producers and consumers of paddy or rice due to more than 95% of the Indonesian population consume rice as staple food. The by-product of paddy processing as to rice is also hush or rice hush. Up until now, in Indonesia, it is widely used as animal feed, fertilizer, mushroom planting media and fuel for making bricks, tiles and others. To increase the benefits of rice husk, the study of the usage of rice husk as an active ingredient in the SDC cooling system was conducted. The research method begins with the making of rice husk test samples and silica gel as a comparison. Rice husk was burned and heated using an oven until all carbons became ash. Then, the rice husk ash was blended and filtered, these applies to silica gel as well. Then these two samples are tested for characteristics with GSA and XRF instruments. From this test it can be concluded that the adsorption/desorption ability of ash is 1/6 time silica gel. If rice husk ash is used as an alternative for desiccant materials, it is necessary to modify the material.
Landslide Prone Maps Using Weighting Parameters in Pulung, Ponorogo East Java
Authors: Muriyatmoko D , Musthafa A , Effendi L , Harmini T , Rozaqi AJ
Published: November 2019

Pulung landslide occurred twice during 2017-2018. The landslide located in the village of Banaran and Wagirkidul, which caused losses. This study aimed to identify the susceptibility level of the landslide in areas of Pulung. This research using four parameters, namely land slope, land use, soil type, and rainfall. This study produces landslide prone maps divided into three levels. It is the level of “very vulnerable” covered area of 3.4% (433.67 ha), level of “vulnerable” covered area of 53.06% (6,767.803 ha), and level of “less vulnerable” covered area of 43.54% (5,553.527 ha). The results are useful for an early warning system in Pulung, especially rainy season. The map presented is also considered as the source for warning landslide system in surrounding Pulung.
Determination of Location and Numbers of Monorail Stops in Surabaya with Max Covering Problem Model
Authors: Ardiansyah Andika , Mardlijah
Published: November 2019

The Surabaya City Government plans to develop Mass Rapid Transit (MRT). The selected MRT is trams and monorails. The MRT procurement is expected to attract public attention to using public transportation so that it can reduce the use of private vehicles. With the reduction of private vehicles, it is expected to reduce congestion and traffic accidents. For the operation of the MRT, supporting facilities are needed, namely the stop for the monorail. So, the author intends to conduct research to determine the location and number of monorail stops. In this study, the determination of the location and number of monorail stops was determined by the Max Covering Problem model when there was a limit in the number of monorail stops established so as to maximize the number of passengers served, which was preceded by calculating the optimal number of monorail stops with the Set Covering Problem model. The results of calculations using the Set Covering Problem model indicate that there are 62 locations for monorail stops in order to serve the point of demand, totaling 151 locations along the route. If it turns out the government has budget constraints in the construction of monorail stops in 62 predetermined locations, then the calculation using the Max Covering Problem model is obtained by choosing 50 locations for monorail stops.
Indonesian Financial Crisis Prediction Using Combined Volatility and Markov Regime Switching Model Based on Indicators of Real Interest Rate on Deposits and Lending Interest Rate/Deposit Interest Rate
Authors: Sugiyanto  , Hidayah Aisyah Zahrotul
Published: November 2019

The financial crisis that occurred in mid-1997 made it aware of the importance of building an early detection system because the crisis had a severe impact on the Indonesian economy. The crisis occurred due to several macroeconomic indicators experiencing very high fluctuations and the existence of changes in the structure (regime). The combined volatility and Markov regime switching models are very suitable to explain the crisis. Indicators of real interest rates on deposits and lending interest rate/deposit interest rates from 1990 to 2018 were used to build the combined model. The result showed that the MRS-ARCH (2,1) model for real interest rate on deposits indicator and the MRS-GARCH (3,1,1) model for lending interest rate/deposit interest rate indicator could explain the crisis. Markov regime switching predictions indicate that in 2019 there are no signs of a financial crisis in Indonesia.
Exponential Distribution Parameter Estimation with Bayesian SELF Method in Survival Analysis
Authors: Triana Yuli , Purwadi Joko
Published: November 2019

This Paper discussed the Exponensial distribution parameter estimation using Bayesian SELF method in survival analysis with

θ
^

as SELF Bayesian estimator for the θparameter. Survival analysis corresponds to a method that relates to time starting from the start point to the occurrence of a particular event or an endpoint. The event referred in this research is the event of death. The distribution used in this research is an exponential distribution. Bayesian SELF estimation of

θ
^

on exponential distribution for the censored data was obtained by minimizing expectations of loss function. Application of Bayesian SELF method on acute coronary syndrome patient’s data, it was obtained

θ
^

= 0.18583 that indicates the patients’ probability to survive is high and the probability for the patients to fail is low.
The Monitoring of Corn Sprouts Growth Using The Region Growing Methods
Authors: Yudhana Anton , Umar Rusydi , Ayudewi Fadlillah Mukti
Published: November 2019

The aim of this research is to apply plant growth monitoring function using region growing method and Matlab application with an object of corn sprouts and parameters of length and time. The research process is done by taking pictures digitally change the color level (Red Green Blue) to grayscale, cropping the image and then calculate the growth of the plant using region growing. From the results of the study, region growing can be used to calculate the growth of plant length with parameters of length and time. The results of manual measurements show the growth of plant length by an average of 2.1 cm/day then the results of measurements with region growing show an average plant length of 2.3 cm/day, this result shows the comparison between manual and region growing measurements is 0.2 cm. The difference between manual calculation and region growing is caused by the accuracy of shooting and image cropping process.
Sustainability Strategy of Agarwood-Production Trees in Lombok Island using Harvesting Matrix
Authors: Romdhini M U , Fitriyani N , Kurnia A , Baskara I K A , Ito M , Yamada I , Hadi S , Mulyaningsih T
Published: November 2019

Eaglewood (Gyrinops verstiigee) is one example of a commercially valuable aromatic plant in the form of agarwood. The high selling value of agarwood encourages people to use it. The distribution area of Agarwood-producing trees is found in several regions in Indonesia. One of agarwood producers has been widely exploited in West Nusa Tenggara Province. The problem is the number of population and the quality of agarwood production which is declining due to exploitation carried out continuously and excessively without calculations and improper harvesting techniques. Therefore, a forest management model that cares for sustainability, called a sustainable harvesting model, could be used. This research used harvesting matrix to build this model. This model considers the initial configuration of the forest to be the same as the final configuration of the forest, so that the harvesting could be done continuously without damaging the forest configuration. The location of data collection was conducted in several areas, such as Orong Puncak, Lembah Sari, Orong Selatan, Kekait, Sepakek, East Lombok, and Kerujuk. The data obtained were divided into 5 intervals based on the diameter of the eaglewood tree. The research found that the number of trees that could be harvested on one harvesting period at each interval of trees diameter, i.e. 0 tree in 0-10 cm interval; 388 trees in 10-20 cm interval; 270 trees in 20-30 cm interval; 17 trees in 30-40 cm interval; and 3 trees in 40-50 cm interval. Harvesting matrix could be used to help the government in order to build a strategy for the sustainability of eaglewood trees in Lombok Island.
The Difference of Amino Acid Profiling From Two Morphological Purple Sweet Potatoes From Kawi Mountain Cultivars, East Java, Indonesia
Authors: Kurnianingsih N , Ratnawati R , Fatchiyah F , Barlianto W , Ali M M , Safitri A , Suyanto E
Published: November 2019

Indonesia is one of the main commercial producers of sweet potatoes. Previous study has presented well documented anthocyanin content of Purple Sweet Potatoes (PSP) from local cultivar in Indonesia. However, research about amino acids profiling of local cultivar PSP as high commodities in Kawi Mountain region has not undertaken. This study was explored amino acids profiles in two morphological PSP cultivated in Kawi Mountain region, Ngajum Village, Wonosari Subdistric, Malang Regency, East Java, Indonesia. Fresh storage roots were cleaned with running water and shade dried. The analysis was conducted at PT.Saraswanti Indo Genetech, Bogor, Indonesia. Method of UPLC was used for identification of Ser, Glu, Phe, Ile, Val, Ala, Arg, Gly, Lys, Asp, Leu, Tyr, Pro, Thr, His, Cys and Met; while tryptophan was analyzed using HPLC method. The five largest amino acids in dark-purple skin and flesh PSP were Glu 565.75 mg/kg, Asp 479.74 mg/kg, Arg 413.54 mg/kg, Ala371.87 mg/kg and Leu 336.67 mg/kg, whereas white flesh and purple skin PSP contained Glu 653.67 mg/kg, Asp 447.60 mg/kg, Arg 314.41 mg/kg, Lys 278.77 mg/kg and Leu 256.97 mg/kg. Future research is needed to investigate the health benefit of amino acids content in PSP from Kawi Mountain cultivar.
Preparation of Nanoparticles from Curcuma longa L. and Cosmos caudatus Extracts
Authors: Putri A S , Octavianty T D , Wahyudi N T , Safitri A
Published: November 2019

This study aims to prepare nanoparticles from Curcuma longa L and Cosmos caudatus extracts, and to investigate their physico-chemical characterizations. The first step in this research was maceration extraction of Curcuma longa L and C. caudatus, using ethanol (96%), and formulated into nanoparticles. Nanoparticles were characterized using spectrophotometry UV-Vis, FTIR spectrometry, and SEM (scanning electron microscopy). UV-Vis spectra confirmed that formation of nanoparticles emerged in the UV-vis region around 420 nm. FTIR analysis revealed the existence of functional flavonoids compounds from the extracts, showing at wavenumber 1440-1420 cm−1. From SEM analysis, the formation of nanoparticles results in mostly flake-like morphology with particles size found within the range of 15-30 nm. The biologically synthesized nanoparticles could be of immense use in medical field for their potential as anti-cancer drugs.
The Effects of Isolate of Goat Casein Yoghurt Milk to MDA Level and Gastric Histopathology of Rats Exposed to 2,3,7,8-Tetrachlorinedibenzo-P-Dioxin (TCDD)
Authors: Mahdi C , Haskito A E P , Robbie M H
Published: November 2019

Dioxins are toxic compounds belonging to organochlorine compounds are highly reactive and produce free radicals that can damage stomach cells. 2,3,7,8-Tetrachlorinedibenzo-p-dioxin (TCDD) is the type of dioxin that has the highest toxicity. Casein goat milk yogurt has the potential as an antioxidant. This study aims to determine the preventive effect of goat milk yoghurt on exposure to dioxin observed levels of malondialdehyde (MDA) and gastric histopathology. Experimental research using Completely Randomized Design (RAL). The white rats (Rattusnorvegicus) were divided into 6 groups, the normal group, casein control (goat milk yoghurt dose 600 mg / kg BW), positive control (TCDD dose 100 ng / kg BW), treatment 1 (goat milk yoghurt 300 mg / kg BW and TCDD 100 ng / kg BW), treatment 2 (goat milk yoghurt 600 mg / kg BW and TCDD 100 ng / kg BW), and treatment 3 (goat milk yoghurt 900 mg / kg BW and TCDD 100 ng / kg BW). Gastric MDA levels were measured using the Thiobarbituric Acid (TBA) assay method with 530 nm wavelength UV-Vis spectrophotometric measurement and gastric histopathology using Hematoxylin-Eosin (HE) staining observed in the form of gastric mucosal cell damage. Gastric MDA levels were analyzed using one way ANOVA statistical test, α = 5% and gastric histopathology analysis were descriptively processed. The results showed that goat milk yoghurt with dose of 600 and 900 mg / kgBW was the best dose in preventing the increase of MDA level of gastric from white rat (Rattusnorvegicus) exposed TCDD significantly (p <0,01), and dose 900mg / kgBB prevented erosion of gastric mucosal cells. The conclusion of this research is giving goat milk goat yoghurt able to prevent the increase of MDA level and erosion of gastric mucosal cells caused by TCDD.
Immunological Responses in Female Rats Model with Anemia Treated with Snake Fruit Seed Flour Extract
Authors: Ristanti I K , Tamtomo D G , Indarto D
Published: November 2019

Natural substances become popular for alternative treatment of human diseases including anemia. A recent study has reported that administration of snake fruit seed flour (SSF) is able to increase hemoglobin level in rat model with anemia but it needs higher amount of SSF. In addition, SSF contains 3.71% protein/100g that potentially results in hypersensitivity. The aim of this study was to evaluate the side effects of SSF extract on leucocytes number and its differential account (granulocytes, lymphocytes, and monocytes) in rat model with anemia. We used 14 female rats model with anemia, aged 8-10 weeks, and had ± 200 g body weight (BW). After rats model with iron deficiency anemia (IDA) has been established, female rats were randomly divided into 2 groups: control (C) group only received a low iron diet, and treatment (T) group received a low iron diet and 1.75g/kg BW/day SSF extract for 14 days. Leucocytes number was measured using a veterinary haematology analyzer. Collected data were analyzed using the independent T-test with p value <0.05. Female rats in the C group had the mean leucocytes number higher than the T group, but not statistically different (p=0.073). From differential count, greater numbers of granulocytes and monocytes were observed in the C group, compared to the T group (p=0.301;p=0.34). In contrast to granulocyte and monocytes number, the mean lymphocytes number in the C group were statistically different than the T group (p=0.046). Overall, administration of SSF extract was able to decrease leucocytes number and differential count. Administration of 0.175g/100g BW/day SSF extract does not increase immunological responses in female rats model with anemia.
Construction and Optimization of Prethrombin-2 Human Genes in E. coli for the Production of Active Thrombin
Authors: Silaban S , Gaffar S , Simorangkir M , Maksum I P , Subroto T
Published: November 2019

Prothrombin-2 is a thrombin precursor, which plays an essential role in the conversion of fibrinogen to fibrin during the blood clotting process. In this study, we designed and constructed the human prethrombin-2 (hPT2) gene. hPT2 gene fused with a tag at the n terminal position, which contains the sequence intein followed by chitin binding domain (CBD) that useful for the purification process. The digestion process of hPT2 tag induced by changing its pH/temperature. The hPT2 codon that used in this study designed according to the preference codon of E. coli. hPT2 gene was created using the OPTIMIZER software with the addition of two side restriction at the 5’ and 3’, BamHI and XhoI respectively then were cloned by using the pMAT vector in E. coli. Moreover, hPT2 fragment ligated into an expression vector, pTWIN1, for E. coli. The result from the characterization hPT2 gene in pTWIN1 that using DNA sequencing method shown that the designed hPT2 gene cloned. Thus, the cloned hPT2 gene used as a precursor for PT2 expression in the E. coli host.
Swallow nest extract can be able to prevent nephropathy diabetic of the white rats streptozotocin-induced
Authors: Triawanti T , Alexandra F D , Frethernity A , Mahmud S
Published: November 2019

Hyperglycemia that occurs in diabetic mellitus leads to glycation reactions in protein molecules and oxidative stress resulting in damage to cells and organs. Swallow nest believed society can lower blood glucose. The objective of the study was to analyze the potency of water swallow nest extract to prevent nephrophaty diabetic. The study used Post test-Only with Control Group Design, which consisted of 1 control group (K = aquadest) and 3 treatment groups (nest swallow nest dose 1, 10 and 100 mg / kg BW) each group consisted of 6 Rattus Norvegicius. Before treatment, means of glucose level rats have been 68 mg/DL, then rats were induced Streptozotocin in a dose of 40 mg / kg BW intraperitoneally. Day 7th after induction, rats had elevated glucose ± 102 - 108 mg / dL. Then the rats were given water extract nest swallow white for 28 days orally. All data were analyzed by Kruskall-Wallis test followed by Mann-Whitney test with 95% confidence level. The results of blood glucose levels in each group (K, P1, P2 and P3) were 111.0 vs 88.5 vs 86 vs 83 mg / dL (p = 0.004), pancreas H2O2 levels were 10.16 vs 9.20 vs 8.81 vs 7.27 (p=0,000), serum H2O2 levels were 17.35 vs 16.39 vs 15.01 vs 11.96 (p=0.044), renal methylglioxal levels were 242.55 vs 134.34 vs 67.12 vs 50.48% (p = 0,000) and renal AOPP levels were 1.17 vs 1.09 vs 1.05 vs 1.00 (p=0.000) respectively. The Mann-Whitney test showed a dose of 100 mg / kgBW has the greatest potential. In conclusion the swallow nest water extract has potential as an antidiabetic and prevent of renal’s damage.