bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systemic lupus erythematosus: PKCA is an inhibition pathway for mTOR by the active ingredient of green tea
Authors: Mawarti H , Nugraha J , Purwanto D A , Soeroso J 
Published: November 2019

Abstract
This study aims to evaluate the interaction of green tea active compounds with proteins related to mTOR signals. The in silico study uses SEA protein target software, DB strings, and AUTODOCK PYRX 9.5. There are twenty target proteins that can interact with the active compounds of green tea. Of the twenty proteins, only six proteins are connected to the mTOR pathway. Of the six proteins, one that is a regulator of mTOR inhibitors is PKCA. Epigallocatechin has the strongest interaction with PKCA 4ARA (-8 kcal / mol). Cianidanol has the strongest interaction with PKCA 3IW4 (-9.3 kcal / mol). To analyze the involvement of the autophagy, a docking between ULK1 and AMPK was conducted, and there was an interaction between ULK1 and AMPK (bond energy of -1446.11 kcal). For the interaction between mTOR and ULK1, the bond energy is -624.5 kcal. For active green tea compounds, the bonding energy is more positive than the mTOR bond with ULK1. It was concluded that the green tea active ingredient as an inhibitor control against mTOR through PKCA and ULK1-AMPK (autophagy pathway).
The decrease in bacterialcount in adult chronic rhinosinusitis patients after nasal irrigation therapy with NaCl 0,9% Solution
Authors: Qamariah N , Muthmainah N , Tanjoto R B B 
Published: November 2019

Abstract
Rhinosinusitis is a disease in which there is inflammation of the nasal mucosa and paranasal sinuses. One of the treatments suggested by several ENT specialists for chronic rhinosinusitis is nasal irrigation. In nasal irrigation therapy, 0.9% NaCl solution has been shown to accelerate the time of mucociliary transport which has an indirect effect on bacterial growth, and to remove inflammatory mediators leading to a decrease in inflammation. This study aimed to provide evidence of a decrease in bacterial count in chronic rhinosinusitis patients after nasal irrigation therap. The research method was descriptive analytical with a cross sectional approach. The study sample originated from adult chronic rhinosinusitis who were treated at the ENT Polyclinic of RSUD Ulin Banjarmasin, TK III Hospital, dr. Soeharsono Banjarmasin, and Banjarmasin harmony clinic in the period December 2018. Sampling was done by purposive sampling technique. The results showed that of the 7 samples tested there was a decrease in the number of bacteria after nasal irrigation therapy, showed a decrease of 38.08% and statistical tests showed a significant decrease in the number of bacteria after nasal irrigation therapy 0.9% NaCl solution (p=0,0001).
Effect Of Coal Dust Exposure To Serum Interleukin 6 (IL6) And Vascular Endothelial Growth Factor (VEGF) Level As Preeclampsia Induction In Pregnant Rattus Novergicus
Authors: Wasilah S , Rachman F , Rosadi D , Puteri A O , Laily N , Yulidasari F , Anggraini L , Setiawan B , Noor M S 
Published: November 2019

Abstract
South Kalimantan is one of provinces in Indonesia that has a lot of coal minings. south kalimantan living environtment committee showed that there are 49 coal minings in 13 regions. the most coal minings are in Kotabaru, Tanah Laut and Balangan, each has 10 coal minings. Air pollution because of coal dust can effect endothelial function, such as hypertension in pregnant or preeclampsia. One of its mechanisms is coal dust can induce inflammation. One of inflammation’s indicator is high level of IL6. Inflammation disturb angiogenesis which is showed by low level of VEGF. High inflammation and low angiogenesis can induce endothelial dysfunction which is found in preeclampsia. This research’s goal was to analyze the effect of coal dust exposure to serum IL6 and VEGF level as preeclampsia induction in pregnant rattus novergicus. The design was experimental with post test only with control group design, consisted of 7 groups: control/K0 (group without coal dust exosure), group with coal dust exposure 6,25 mg/m3 for 1 hour/day (K1-1), group with coal dust exposure 12,5 mg/m3 for 1 hour/day (K1-2), group with coal dust exposure 25 mg/m3 for 1 hour/day (K1-3), group with coal dust exposure 6,25 mg/m3 for 2 hour/day (K2-1), group with coal dust exposure 12,5 mg/m3 for 2 hour/day (K2-2), and group with coal dust exposure 25 mg/m3 for 2 hour/day (K2-3).
Effect of the teaching and learning mathematics strategy based on metacognitive scaffolding on instructional efficiency
Authors: Turmudi T , Susanti E , Abdussakir A , Tajudin N M 
Published: November 2019

AbstractMetacognitive scaffolding (MS) with self-questioning is helpful in promoting student problem solving skill and independent learning. MS deals with the process of learning which helps the students to think, control, and monitor their learning. The instructional condition will be more efficient if the performance of student achievement in problems solving needs less than mental effort invested or equivalent. Therefore, the purpose of this paper was to examine the effect of the scaffolding metacognitive strategy on instructional efficiency. The results of quasi-experiments indicated that the MS strategy fulfilled the direct effect to instructional efficiency. This data provide support for the claim that MS strategy is superior in comparison to the conventional teaching. Students in the experimental group showed an overall favorable view towards the implementation of MS strategy. They viewed that the MS strategy is an interesting, new, simple, and easy instructional format to use in mathematics learning.
Metacognition, self-efficacy, and mathematics learning achievement: A study based on gender differences
Authors: Kaluge A H 
Published: November 2019

Abstract
This research was conducted in 2018 in the 4th semester students of the mathematics education study program at the Catholic University of Widya Mandira Kupang. The aim was to determine the effect of metacognition and self-efficacy on mathematics learning achievement in terms of gender differences. The method used was multiple regression analysis. The results of this study indicated that both partially and simultaneously in male and female student groups all had a significant effect on mathematics learning achievement. The effect of metacognition and self-efficacy on mathematics learning achievement in female students was greater than that of male students. Of the two independent variables, self-efficacy had more influence on mathematics learning achievement than metacognition in both male students and female students. The results of this study indicated that male students' metacognition and self-efficacy need to be further improved. Self-efficacy needs to be given the most attention compared to metacognition in mathematics learning so that student mathematics learning achievements can be improved.
Implementation of Multivariate Analysis of Variance (MANOVA) in experiments factorial two factors (Study: Growth and development of soybean germination)
Authors: Saleh H , Hasanah S I , Subaidi A 
Published: November 2019

Abstract
Soybean is a type of leguminous plant that contains many substances that are important for health, high protein, vitamins and many spread in Indonesia. The economical part of soybean plants is the seeds, which are widely used as raw materials for tofu and tempeh. Variant Analysis with Multiple Variables (Manova) is a multivariate statistical method used to analyze data from more than one variable with an interval or ratio scale, while the independent variable consists of two or more groups, where all of these variables are analyzed simultaneously or together. The purpose of this study was to obtain a linear model based on the source of diversity derived from the design used, the source of diversity and compile it into the variance table, and the main influence of the factors and the interaction effects of the combination treatment. This study is a repeat observation experiment with a two-factor factorial basic design. This kind of design is called factorial design in RAL time. The first factor is the light intensity consisting of 3 levels, namely bright, dim, and dark. The second factor of the planting medium consists of 3 levels, namely husk ash, soil, and cotton. The responses observed were growth and development of soybean germination. Observations carried out for 5 days. The number of combinations of treatments was 7. The experiment was repeated 2 times so that the experimental units were 14 units. Based on the results of the source of diversity, a linear model is formed: Yijkl
= μ + αi
+ βj
+ αβij
+ δijkl
+ ω
1 + αω

i1 + βω

j1 + αβω

ij1 + εijkl
, where i = 1,2,3; j = 1,2,3; k = 1,2; and l = 1,2,3,4,5. Linear models are formed from total diversity. The total diversity that is the source of diversity comes from the main effect of treatment, the interaction effect of the treatment combination and the effect of the error. From the variance table, it can be concluded that the *****check****** sun rays intensity factor (A), planting media factor (B), time (C), factor A*B interaction, factor A*C interaction, factor B*C interaction, factor A*B*C interaction has a significant effect on the response observed which is indicated by the acquisition of Fhitung
> Ftabel
with a real level of 5%.
Effect of local taro starch (Colocasia esculenta) towards the nutritional value of yogurt with commercial probiotic starter
Authors: Krisnaningsih A T N , Rosyidi D , Radiati L E , Purwadi P 
Published: November 2019

Abstract
This research was aimed to determine the effect of adding local taro starch (Colocasia esculenta) toward the nutritional value of yogurt with commercial probiotic combination of lactic acid bacteria (BAL) S. thermophillus, L. bulgaricus, and L. acidhopilus. The materials were used in the manufacturing yogurt including raw cow milk, local taro starch, skim milk powder 4%, starter BAL 3%. The method used a laboratory experiment using a completely randomized design (CRD) with 6 treatments and 4 replications. The treatment used level of local taro starch: 0%; 0.5%; 1%; 1.5%; 2%; and 2.5%. The milk pasteurization temperature at 85°C for 30 minutes and the time of incubation at 24 hours. The variables observed were fat, protein and carbohydrate of yogurt. Data were analyzed by one-way ANOVA, and followed by Duncan's multiple range test (DMRT). The results showed the addition of local taro starch had a very significant effect (P <0.01) on the fat, protein and carbohydrate content of yogurt. Fat have decreased, while protein and carbohydrate of yogurt have increased with the addition of taro starch levels. It could be concluded that the addition of local taro starch to produce optimal nutritional value of yogurt with commercial probiotic starter.
The ontogenic and feed consumtion of Silver Rasbora
Authors: Anwar S , Harris H , Mutiara D , Arsyad N 
Published: November 2019

Abstract
Silver Rasbora fish (Rasbora argyrotaenia) has yellowish fins with shiny scales, wide mouth and protruding forwards with a maximum length of about 170 mm. Its habitat is found mostly in the rivers of Sumatra Island and lives in groups. Silver Rasbora is an omnivorous group, both from phytoplankton and zooplankton. The purpose of this study was to know the eating habits of Silver Rasbora fish in the Musi River through observing the diversity of feed in their stomach. The study was conducted in July - September 2017 in three locations (Mariana Village, Kenten Laut Village and Pulo Kerto Village). The method used is the method of description and method of determining the location carried out by purposive random sampling. The results showed that the percentage of feed type based on its class, the highest percentage was in the Chlorophyceae class with an average of 50.38% and Bacillariophyceae class with a percentage of 37.02%, while the Cyanophiceae class percentage was 11.33%.
The Separation Optimization of Berberine in Anting-Anting Plants (Acalypha Indica Linn) using High Performance Liquid Chromatography (HPLC)
Authors: Hayati E K , Zaky F R A , Husna H , Nihayatul A , Madjid A D R , Mutiah R 
Published: November 2019

Abstract
Anting-Anting plants (Acalypha Indica Linn) is a plant widely found in Indonesia. This plant has potential as an antimalarial, antidiabetic, and antitoxic drug. Ethyl acetate extract of this plant contained isoquinoline alkaloid, berberine which confirmed by LC-MS spectra on m/z 321,2561. Then, this study was conducted to determine the optimum conditions of separation and determination the berberine level existed on ethyl acetate extract of Anting-Anting using HPLC. The separation was optimized by varying flow rate of eluent (0.6 mL/min, 0.8 mL/min, 1.0 mL/min), mobile phase (methanol: TFA 0.1% (50:50 v/v) and acetonitrile: TFA 0.1% (60:40 v/v)). The separation was using HPLC with C18 (ODS) 4.6 × 250 mm, 5 μm column, isocratic method at various wavelengths (290 nm, 315 nm, and 345 nm). The optimum separation condition was obtained at flow rate 1 mL/min with mobile phase methanol: TFA 0.1% (50:50 v/v) and UV detector wavelength at 345 nm. The result showed that the berberine level of Anting-anting in ethyl acetate fraction was 11,82030 μg/mL.
Using of rice husk ash as material addition in mixing concrete by mixing 1 Cement : 2 Sand : 3G to increase the compressive strength
Authors: Yulianto F E , Mukti M H , Irmawan A 
Published: November 2019

Abstract
Concrete is a construction material with increased supply annually. Increased supply of concrete caused cement demand also increased while the price of cement also increased every year. Based on this case, some research was done by mixing additives that can improve concrete strength and reduce the amount of cement. One of the additives used is rice husk ash (RHA). However, the addition of RHA was not implemented in concrete with mixing by 1pc: 2ps: 3kr; while concrete mixing by 1pc:2ps:3kr are mostly used by local communities to construct multistory buildings in Pamekasan. Therefore, this study is done by adding the RHA of 0%, 3%, 5%, 7% and 9% of the weight of cement is added. Concrete compressive strength testing was performed on all types of samples on the concrete curing periods 7, 14, 21 and 28 days. Concrete compressive strength test results showed that the addition of 5% RHA is able to provide increased compressive strength of concrete is the most optimal compared to the percentage of the RHA. At the curing periods of 28 days of concrete with 5% RHA.
Sustainability of technological dimension in dairy agribusiness
Authors: Mastuti R , Alham F , Gustiana C , Hanisah H , Jamil M , Muslimah M , Rozalina R 
Published: November 2019

Abstract
This study aims to analyze sustainability index and status of technological dimension in dairy agribusiness in Batu City. Research methods applied were analysis Multidimensional Scaling (MDS) analysis, termed Rapuse, and Descriptive analysis. Study result was expressed in sustainability index and status. Moreover, to examine attributes sensitively affected sustainability index and status also the effect of error, analysis of Leverage and Monte Carlo was performed, followed with descriptive analysis. Data were obtained from key respondent and field observation. Four villages from three sub-districts in Batu City were purposively selected as research site, namely Village of Pesanggrahan, Tlekung, Oro-oro Ombo and Gunungsari. Sustainability analysis resulted in technological dimension of 60.40 or moderately sustainable condition and three leverage factors of AI breeding, adlibitum water application, and chopper use. Other factors in technological dimension should be taken care immediately since they sensitively have an effect on the increasing sustainability index and status with small error at confidence level of 95%. Factors included biogas installation, provision of dry concentrate, fresh milk handling, and cage cleanliness should be improved to increase sustainability index of technological dimension through role and support improvement of stakeholder consisted of milk cooperation, IPS, government institution related, and cattle farmers.
EMD of Linear Benzenoid Chain Using Chemical Graph
Authors: Raji M , Jayalalitha G 
Published: November 2019

Abstract
Let Gm
be a undirected graph. Having a Molecule, atoms indicate by vertices and bonds indicate by edges. The main aim of this paper explains Extended Medium Domination on Linear Benzenoid Chain like Benzene, Naphthalene, Anthracene and their generalisation will be proved.
Geometric Brownian Motion in Stock Prices
Authors: Suganthi K , Jayalalitha G 
Published: November 2019

Abstract
Financial instability estimates the changes of the cost of a monetary instrument. It is a proportion of properties of the Stock prices stability. Fractal investigations are used to assess the money related instability. Forecasting of stock prices acts as an important challenge based on the Random Walk theory. This paper deals with comparison of two years 2013 -2014 and 2017(Jun to Nov) of stock prices. Explain the instability by the method of Box-Counting technique to find the Fractal dimensions of the Geometric Brownian Motion based on the Random Walk defective value. This creates the possibility that Fractal measurement is related with the monetary unpredictability. Its an essential instrument for both money related investigators and Financial specialists.
Modelling Electric Circuit Problem with Fuzzy Differential Equations
Authors: Sindu Devi S. , Ganesan K. 
Published: November 2019

Abstract
In this paper we propose a new idea for the readers on the use of fuzzy in a real-life application in the triangular rule for solving the analytical solution of the second-order linear fuzzy differential equation (LFDE) under Hukuhara differentiability, especially increasing length of support. The case study is provided to show the advantages in the future.
A Comparison of Radial Basis Function and Multilayer Perceptron Network as tool for classification of Medical Data
Authors: Leoni Sharmila S. , Dharuman C. , Venkatesan P. 
Published: November 2019

Abstract
Artificial Neural Network has become a popular tool in developing systems that encircles human proficiency. The importance of exact detection is exceptionally important for proper treatment and preserve of disease. Clinical cytology has improved tremendously in disease diagnosis. In this paper, two Artificial Neural Network (ANN) methods, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) network are compared. The RBF network predicts comparatively better accuracy in compared to MLP methods. Also it was detected that the RBF method requires a lesser amount of time for the development of the model, this is because there is no repetition to reach the favourable parameters in the model.
Crossover and Mutation Strategies applied in Job Shop Scheduling Problems
Authors: Vilma Roseline J. , Saravanan Dr. D. 
Published: November 2019

Abstract
This paper reviews modern genetic algorithm based approaches for solving job shop scheduling problems. This paper elaborates the types of crossover methods such as Partially Mapped crossover (PMX), Order One Crossover (OX), etc involved in Genetic Algorithm (GA) that are used for Job Shop Scheduling problems. Job Shop Scheduling represents one of the hardest combinatorial optimization problems where number of possible schedules drastically increases with the number of operations and machines. Normal crossover operators will often lead to inadmissible solution . Many specialized combining order or adjacency information from the two parents. The crossover method operators builds an offspring by choosing a subsequence of elements from one parent and preserving the order and position of as many elements as possible from the other parent. A subsequence of elements is selected by choosing two random cut points, which serve as boundaries for the swapping operations. There are few distinct mutation operators widely used for JSS problems such as swap, inversion, insertion (shift) and displacement mutation. Here some modern genetic algorithm-based approaches from the literature are also discussed as well.
General Analysis of Two Products Inventory Model – With Production by Two Units System and Sales
Authors: Parvathi S , Vijaya Bharathy M , Manikandan A 
Published: November 2019

Abstract
In this paper two units system engenders two different products for sale. The two products are engendered piecemeal in pairs. The sale time commences when k dyads are engendered or when the two units system fails whichever occurs first. Postulating the engenderment and sale time of products have general distribution and the failure and rehabilitate rates of the two units are constants, the double Laplace Stieltjes transform of the joint distribution function of the time to sale and sale time are obtained. Their prospect of engenderment time E (T), sales time E(R) is derived by varying the number of engenderment k. To illustrate the application of Numerical results are distribution by giving different values for λ1 λ2 μ.
A New Approach For Solving Integer Interval Transportation Problem With Mixed Constraints
Authors: Keerthana G. , Ramesh G. 
Published: November 2019

Abstract
In this paper, we suggest an interval Transportation problem where the source and destination parameters are chosen as interval numbers. The main objective of the problem is to minimize the total transportation cost and total delivery time. Algorithm is proposed (VAM and MODI) to determine initial allocation to the basic cells and the corresponding interval transportation cost. The optimal solution is obtained without converting the problem to its classical version. Numerical example is obtained which will be easy to understand the solution and procedure of the proposed method.
Fuzzy project planning and scheduling using critical path techique
Authors: Leelavathy T , Padmadevi S 
Published: November 2019

Abstract
In this article, we intend to determine the total duration of completion of the project for fuzzy networking problem with the activity duration represented as trapezoidal fuzzy number using Critical Path technique. A new fuzzy arithmetic operation, ranking method and a precise step by step plan is designed to obtain the total fuzzy duration, utilizing the available resources. Finally the proposed study is discussed with a numerical example.
The Hungarian Method for the Assignment Problem, With Generalized Interval Arithmetic and Its Applications
Authors: Priya D , Ramesh G 
Published: November 2019

Abstract
In this paper, we focus on the solution procedure for fully interval assignment problem (FIAP), Hungarian method is considered into account. In consideration method the given FIAP is decayed into Interval Assignment Problem, solving it with existing method and by using its optimal solutions, an optimal interval assignment solution to the given FIAP is obtained. Although the assignment problem can be solved as an ordinary transportation problem or as Linear programming problem, its unique structure can be exploited, resulting in special purpose algorithm, is called Hungarian method. A numerical example is provided to illustrate the solution procedure developed in this paper.