bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical study on rotating casson fluid in moving channel disk
Authors: Mohamad Ahmad Qushairi , Jaafar Nurul Aini , Shafie Sharidan , Ismail Zulkhibri , Qasim Muhammad 
Published: November 2019

AbstractThe theoretical study of rotating Casson fluid in moving channel disk has been investigated in this article. The dimensional governing equation of proposed fluid is derived in the form of partial differential equation with initial and boundary conditions. The non-dimensional governing equation has been obtained by using the suitable non-dimensional variables. The expression of velocity for rotating Casson fluid has been obtained by using Laplace transform method. It is found that, they satisfied governing equation and conditions imposed. Computations are carried out and the results are analyzed and discussed in details.
A Progress on the Development of Mathematical Model on Two-Phase Flow over a Vertical Stretching Sheet
Authors: Aljabali Ahlam , Moh&d Kasim Abdul Rahman , Hussein Ayman Mohd 
Published: November 2019

Abstract
The investigation on flow and heat transfer are important in the engineering applications, for example, extrusion of metal and polymer, cooling of electronic devices, heat exchanger and chemical processing equipment. Since the investigations on the real applications are costly and sometime hazardous, the study on mathematical model representing the fluid flow and heat transfer’s problem are considered to overcome this limitation. This paper will present the progress on the development of mathematical model on non-Newtonian two-phase model where the fluid flow is studied together with the dust particles. The review will include the discussions on existing problems, its methodology as well as the significance outcomes. The main contributions on this paper is to present the research gap and the possible development for future investigations on the problem under the mathematical model of fluid flow and heat transfer.
Effect of Thermal Radiation on MHD Stagnation Point Flow over a Shrinking Sheet
Authors: Liyana Aladdin Nur Adilah , Bachok Norfifah , Mohd Nasir Nor Ain Azeany 
Published: November 2019

Abstract
In this present paper, we investigate a two dimensional magnetohydrodynamic (MHD) stagnation flow over shrinking sheet in the presence of thermal radiation. In this study, the effects of magnetic, heat generation or absorption, radiation and Prandtl number parameter are taken into consideration. An appropriate similarity transformation is introduced to transform the governing partial differential equations into a system of ordinary differential equations then solved using bvp4c in MATLAB. The effects of the involved parameters such as magnetic field, velocity, heat generation/absorption, Prandtl number as well as local Nusselt number are calculated numerically. Result on skin friction and temperature increased as the magnetic field increased. While, the temperature decreased as the radiation parameter increased as well as the Prandtl number.
Splicing System in Automata Theory : A Review
Authors: Khairuddin S H , Ahmad M A , Adzhar N 
Published: November 2019

Abstract
The study of formal language theory rapidly evolves after Tom Head introduce his research on formal language theory in 1987. Splicing system involves the process of cutting and pasting on DNA molecules with the presence of restriction enzymes and ligase, respectively. A mathematical model of the splicing system has been developed by using the concept of formal language theory, which is a branch of theoretical computer science and applied discrete mathematics, and also informational macromolecules. Over the year, theoretical results in splicing systems have contributed to new research in formal language theory focused on modelling of biochemical processes. In this paper, the relation between formal language theory and some related molecular biological terms are explored. In addition, new ideas in the framework of biomolecular science, for example, the design of automated enzymatic processes are then discussed. Then, a mutual relation that exist in these field is then explained. The regular language can be implemented in the splicing system to show the DFA structure in the splicing system.
On the generalized Radimacher-Menchoff Theorem for general spectral decomposition of the elliptic differential operators
Authors: Ahmedov Anvarjon , Matarneh Ehab , Abd Sathar Mohammad Hasan bin 
Published: November 2019

Abstract
The spectral decompositions of elliptic operators are considered. An analogue of the Radimacher-Menchoff Theorem for general spectral expansions corresponding to a self-adjoint extension of elliptic operators is obtained. The theorem obtained allows us to obtain a result on the almost everywhere convergence of the spectral decompositions from the Liouville classes. The estimation of the maximal operator corresponding to the spherical sums of multiple Fourier series from Liouville classes

L
p
α

(

T
N

)

, 1 ⩽ p ⩽ 2, is derived.
On the relation between CT-Groups and NSP-Groups on finite Groups
Authors: Al-Jamal Khaled mustafa , Ab Ghani Ahmad Termimi 
Published: November 2019

AbstractAsubgroubHof a finite group is calledC-normal if there exisit a normal subgroupNofGsuch thatG=HNandH∩Nis subgroub of the core ofHinG. A subgroupHofGis called nearlyS-permutable inGif for every primepsuch that (p,|H|)=1 and for every subgroupKofGcontainingHthe normalizerNK(H) contains some Sylowp-subgroup ofK.The aim of this paper is to study these concepts and show that there one classes where these concepts coincide and classes for which these concepts are different. Moreover,some examples and properties relatied to these subgroubs are discussed in this paper.
On Generalized Derivations of some classes of finite dimensional algebras
Authors: Husain Sh. K. Said , Basri W. , Abdulkadir A. 
Published: November 2019

Abstract
In this paper we investigated the concept of generalized derivations of finite dimensional algebras and their properties. The definition of the generalized derivation depends on some parameters and in particular on values of the parameters, we obtain classical concept of derivation and its generalizations. We use an algorithm for calculating the generalized derivations of Lie and Leibniz algebras.
Four-Point EGSOR Iteration for the Grünwald Implicit Finite Difference Solution of One-Dimensional Time-Fractional Parabolic Equations
Authors: Muhiddin F A , Sulaiman J , Sunarto A 
Published: November 2019

Abstract
In this paper, our main concerned is on the application of the formulation of a four-point explicit group successive over-relaxation (4EGSOR) iterative method in solving one-dimensional time-fractional parabolic equations based on the second-order Grünwald implicit approximation equation. The formulation of the 4EGSOR method is constructed by using the implicit approximation equation which is derived by the Grunwald derivative operator and the implicit finite difference discretization scheme. In order to access the performance results of the 4EGSOR iterative method, another block and point iterative methods which are the four-point EGGS (4EGGS) and the Gauss-Seidel (GS) were also presented as control methods. The results of three numerical experiments show substantial improvement in terms of the number of iterations and execution time.
Bat Algorithm for Solving Molecular Docking of Alkaloid Compound SA2014 Towards Cyclin D1 Protein in Cancer
Authors: Fernando Fedric , Irawan Mohammad Isa , Fadlan Arif 
Published: November 2019

AbstractBioinformatics is an interdisciplinary field that combines biology, computer science, information engineering, mathematics, and statistic to analyze and interpret biological data. Recently, bioinformatics had an important role in drug discovery. One of the steps for drug discovery is molecular docking. Molecular docking mimics the interaction between ligand and the target protein for in-vitro testing. Solving molecular docking problem isn’t an easy task, because molecular docking involves many degrees of freedom. A lot of methods had been applied for this problem, one of them is artificial intelligence. This research will study the usage of bat algorithm in solving the molecular docking problem. Bat algorithm is an algorithm that uses the characteristic of the bats in searching prey. The research will solve the molecular docking of alkaloid compound SA2014 towards cyclin D1 protein in cancer. Alkaloid compound SA2014 is isolated from marine spongeCinachyrella anomala. The objective function for this problem will be to minimize the binding energy, the lower energy means the bound of protein and ligand will be stronger. We use root mean squared deviation (RMSD) of protein structures to check the validation of bat algorithm. For validation, we used structure 3ptb and 2cpp. The validation shows that the bat algorithm is a valid method to solve the molecular docking problem because of the RMSD is not over 2Å and the free binding energy is negative. For docking SA2014 towards cyclin D1, bat algorithm shows a negative value -2.217.
A New Robust Estimator to Detect Outliers for Multivariate Data
Authors: Abd Mutalib Sharifah Sakinah Syed , Satari Siti Zanariah , Wan Yusoff Wan Nur Syahidah 
Published: November 2019

Abstract
Mahalanobis distance (MD) is a classical method to detect outliers for multivariate data. However, classical mean and covariance matrix in MD suffered from masking and swamping effect if the data contain outliers. Due to this problem, many studies used robust estimator instead of the classical estimator of mean and covariance matrix. In this study, a new robust estimator, namely, Test on Covariance (TOC) is proposed to detect outliers in multivariate data. The performance of TOC is compared with the existing robust estimators which are Fast Minimum Covariance Determinant (FMCD), Minimum Vector Variance (MVV), Covariance Matrix Equality (CME) and Index Set Equality (ISE). The probability that all the planted outliers are successfully detected (pout), probability of masking (pmask) and probability of swamping (pswamp) are computed for each estimator via simulation study. It is found that the TOC is applicable and a promising approach to detect the outliers for multivariate data.
The Control Chart of Data Depth Based on Influence Function of Variance Vector
Authors: Idris Suwanda , Wachidah Lisnur , Sofiyayanti Teti , Harahap Erwin 
Published: November 2019

AbstractThe concept of data depth has been used for multivariate control charts. One of the advantages of data depth is that statistics constructed independent of the distribution of quality characteristics or is known as free distributions. One of them is depth based on Mahalanobis distance. Individual Mahalanobis distance is essentially formed by the ratio of generalized variance (GV) calculated by not involving the individual to be calculated distances to the mean by GV calculated from the complete data. The Control charts constructed with Mahalanobis Depth can be visualized (exploration) is plot depth over depth, so it is known DD-diagram and create control limits as control chart Shewhart. The main disadvantage of Mahalobis distance lies in GV, the value of GV depends on the sample size and the number of quality characteristics, in addition two different covariance matrices can give the same GV value. Departing from the weakness of GV, this research will be focused on the formation of vector data depth control diagrams (VV), because VV can resolve the GV weaknesses. Based on the simulation study, it shows that both DD-GV and DD-VV control charts give the same pattern in ongoing process of in-control that is forming a straight line through point (0,0) and (1,1), for correlation between weak variables, but for correlation between variables are very strong, the DD-GV control does not expressly state the in control process. The application process control of data in both diagram medical product, indicate that there is a symptom of mean vector or covariance matrix.
Wives influence climate change mitigation behaviours in married-couple households: insights from Taiwan
Authors: Hung Li-San , Bayrak Mucahid Mustafa 
Published: November 2019

Abstract
Mitigating climate change requires collective action of various sectors and on multiple scales, including individual behavioural changes among citizens. Although numerous studies have examined factors that influence individuals’ mitigation behaviours, much less attention has been given to interpersonal influence. Children have been suggested to influence parents’ climate change concerns; however, how the interactions between couples—typically the primary decision-makers in married-couple households—influence each other’s climate change concerns has seldom been discussed. In this study, we surveyed married heterosexual couples to investigate the interdependency of husbands’ and wives’ motivations for behavioural change to mitigate climate change. We found that wives’ psychological constructs, including climate change risk perception, self-efficacy, and gender role attitudes, demonstrated stronger effects on their husbands’ motivation than did husbands’ own constructs on their own motivation, whereas husbands’ psychological constructs did not influence their wives’ motivation. Our results suggest the importance of wives’ role in motivating household climate change mitigation behaviours.
Land suitability evaluation for forestry plants in Tao Lake, Padang Lawas Utara District, North Sumatra
Authors: Samsuri  , Elfiati D , Siregar O S 
Published: November 2019

Abstract
Land use planning process was used to provide alternative and possible land uses as well as management activities needed to ensure land use sustainability. This study aims to evaluate the actual and potential land suitability classes for forestry plants (Mangifera indica, Syzygium aromaticum, Durio zibethinus, Acacia mangium, Nephelium lappaceum, Pometia pinnata, Paraserianthes falcataria) and to map the actual and potential land suitability in Tao Lake, Padang Lawas Utara District, North Sumatra. The evaluation used the matching method and the spatial analysis. The land unit was determined based on spatial analysis which consists of 8 land units and 4 land unit classes. The research showed that based on the actual and potential land suitability classes, land units I to VIII are highly suitable (S1) for Pometia pinnata. Meanwhile, land units I, II, III, V, VI, VII are highly suitable (S1) for Acacia mangium and Paraserianthes falcataria), while land units IV and VIII are moderately suitable (S2) for the same. Land units I, II, IV, V, VI, VII, VIII are highly suitable (S1) for Nephelium lappaceum, while land unit III is moderately suitable (S2) for the same. For potential land suitability classes, land units I, II, V, VI, VII are highly suitable (S1) for Durio zibethinus and land units III, IV and VIII are moderately suitable (S2) for the same. The actual and potential land suitability for Mangivera indica including non-suitable (N) class covered an area of 290,496 ha, while the actual and potential land suitability for Syzygium aromaticum including moderately suitable class (S2) covered an area of 290,496 ha.
What is kopi luwak? A literature review on production, quality and problems
Authors: Muzaifa M , Hasni D , Rahmi F , Syarifudin  
Published: November 2019

Abstract
Kopi luwak or civet coffee is known as one of the most popular coffee in the world. This coffee produced from the finest and ripest coffee berries that are eaten by luwak (Paradoxorus hermaphroditus), a cat like-animal. Kopi luwak is currently recognized as the most special and most expensive coffee in the world. Kopi luwak production is initially done naturally by collecting kopi luwak from nature. However, due to the limited number, farmer began to cultivate kopi luwak with captivity (caged kopi luwak). A number of problems arise in production, consumption and trade. Indonesia as the first country to produce kopi luwak certainly needs to pay special attention to the development of this coffee. Some research results show that wild kopi luwak and caged kopi luwak have different characteristics. Kopi luwak production with captivity needs to be well studied so that it can be accepted by the world market. Counterfeiting kopi luwak is still common. Standardization of kopi luwak quality needs to be developed, certification of kopi luwak as a quality guarantee will increase consumer confidence and maintain the continuity of this coffee.
Physical quality change of tempeh during freeze drying
Authors: Marfu’ah S , Karyadi J N W , Akbar M A , Imaniar D I , Hati F I P 
Published: November 2019

Abstract
Tempeh is one of the traditional foods from Indonesia, produced across generation. As the largest tempeh producer in the world, the average consumption per person per year is currently estimated at around 6.45 kg, supported by 81 thousand tempeh-making businesses with a production of 2.4 million tons of tempeh per year. Therefore, tempeh industry has a great opportunity to be developed. The main constraint of tempeh trading is due to its short shelf life. Freeze drying is one of the food drying techniques that can extend shelf life and maintain product quality. The purpose of this study was to determine the effect of freeze drying method drying on the physical quality of tempeh, also to compare the quality of the product from the freeze dryer and dryer cabinet methods. The material used is 1 cm thick tempeh. The freeze drying machine used has stainless steel plate material with a total length of 0.7 m, 0.5 m wide, and 1 m high. Drying was conducted at freezing temperature -18°C and heating 60°C at vacuum pressure -76 cmHg. The initial moisture content is 60.22% and after drying with freeze dryer decreased to 1.19% while in the dryer cabinet was 7.52%. The results of the study also showed physical changes namely color using three sample seeds. The average values of colors L, a *, and b * before drying are 73.39; 5.67 and 23.56. After drying, the tempeh color is darker at dryer cabinet.
Physiological Conditions of Decomposition Process and Quality of Compost Based on Beef Cattle Feces Enriched with Azolla sp.
Authors: Setyaningrum A , Amrullah N , Yuwono P 
Published: November 2019

Abstract
The research was aimed to determine the effect of the addition of Azolla sp. on physiological conditions, the kinetics of temperature, and the quality of compost which includes carbon content, and compost organic matter. The method used was experimental with A Completely Randomized Design (CRD). There were three treatments that were the addition of Azolla sp. 0% (P0), 10% (P1), and 20% (P2). Each treatment was repeated 6 times, so that the number of experimental unit was 18 mounds of compost. Variables measured were temperature kinetics, levels of organic carbon and compost organic matter. Observations of temperature were carried out on days 0, 4, 8, 12, 16, 20, 24 and 28 at 01.30 – 02.30 pm. The carbon content and compost organic matter of the final compost product were analyzed in the laboratory. Data on the kinetics of temperature were analyzed using Repeated Measure Analysis of variance (RMA), while those of the levels of organic carbon and organic matter compost were analyzed using Analysis of variance (ANOVA). The results of the variance analysis showed a significant interaction (P < 0.05) between the treatment and the days of observation on the kinetics of temperature. The highest temperature kinetics observed for P2 and P1 were achieved on day 4 (54.00˚C and 50.50˚C, respectively), while the highest temperature for P0 was achieved on day 8 (50.33˚C). The temperature of P0, P1 and P2 ranged 27.17-50.33˚C; 28.17-50.50˚C and 30.00-54.00˚C, respectively. Least Significance Different (LSD) results showed significant variations in temperature kinetics. Enrichment of compost with Azolla sp had no significant effect (P > 0.05) on the levels of organic carbon and compost organic matter.
Dynamic Responses of Livestock Farmers to Smart Farming
Authors: Guntoro B , Hoang Q N , A’yun and Rochijan A Q 
Published: November 2019

Abstract
Nowadays, livestock has made clear changes in industrial and semi-industrial production organizations or smart farming. The adoption of livestock technology is extremely important to enhance the quality and quantity of livestock products. Besides, technology may help farmers to increase their profit and protect the health of costumer and environment. Advanced technologies in smart farming were widely applied by livestock farmers such as data management, Internet of Things technology, precision farming, agriculture drones, and so forth. Those technologies may make a great livestock system like closed livestock production from breeding to processing and consumption. Moreover, when using smart farming techniques, farmers can better monitor or observe the need for individual animals and adjust their nutrition correspondingly, thereby preventing diseases and improving herb health. There are many benefits from adopting smart farming and also have some obstacles that farmers have to face when they would like to access to smart farming. This paper also gives extensions and innovations for small farmers that can be utilized to facilitate the processing of smart farming implementation.
Total VFA Production and Protozoa Population with Jengkol (Archidendron jiringa) Peel Powder Supplementation on In Vitro
Authors: Hidayah N , Rita W 
Published: November 2019

Abstract
Jengkol (Archidendron jiringa) peel is a by-product that has not been utilized optimally. Some research reported that jengkol peel had potency as a source of fiber and bioactive compound (saponins and tannins) for ruminant. This experiment was designed to evaluate the effects of jengkol peel powder supplementation on total volatile fatty acid (VFA) production and protozoa population on in vitro ruminal fermentation. The treatments were arranged in a randomized block design with three treatments (2%, 4%, 6% DM) and four replications. The variables observed included total VFA production and protozoa population. Data were tested using Analysis of Variance (ANOVA) and the differences among treatments means were examined by Duncan Multiple Range Test. The results showed that increasing supplementation of jengkol peel powder increased total VFA production (P<0.01) but did not affect protozoa population (P>0.05). It is concluded that supplementation of jengkol (A. jiringa) peel powder until 6% DM potentially improved rumen fermentation.