bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oil analysis.
Authors: Widodo P. , Nur F. , Nafisah E. , Forster B. P. , Hasibuan H. A. 
Published: May 2019

Abstract

Oil analysis of the mesocarp is determined by extracting the oil from dried mesocarp samples. Before the extraction step is conducted, the wet (fresh) mesocarp sample needs to be dried. Conventional drying of wet mesocarp is done in an oven. Oil is removed by refluxing with n-hexane in a soxhlet apparatus. Once oil extraction is completed, oil yield can be calculated by the difference of mesocarp weight before and after extraction. Oil analysis will obtain the percentage of dry mesocarp to fruit (DM/F); dry mesocarp to wet mesocarp (DM/WM); percentage of oil in dry mesocarp (O/DM); percentage of oil in wet mesocarp (O/WM); and percentage of mesocarp oil in the bunch (O/B).
Lets go surfing now, everybody's learning how; attentional strategies on expert and novice surfing performance under both practice and competition conditions
Authors: Lawrence Gavin P. , Virian Jana , Oliver Samuel J. , Gottwald Victoria M. 
Published: May 2019

AbstractResearch suggests an external focus of attention (EFOA) promotes effective performance and learning compared to an internal focus of attention (IFOA), with explanations proposed by the constrained action hypothesis (CAH) and OPTIMAL theory of motor learning. Specifically, it is proposed that adopting an EFOA prevents the constraining of normally automatic control processes and subsequent performance decrements (typically observed when individuals adopt an IFOA) by simultaneously reducing self‐focus strategies and enhancing goal‐action coupling. The present study attempted to fill this research lacuna by examining the CAH and OPTIMAL theory in a complex, ecologically valid, motor task under both low and high‐pressured conditions. In two separate experiments, novice (n = 23) and advanced (n = 21) surfers completed a surfing task in an artificial Wavegarden under either EFOA or IFOA instructions. Experimental phases included a pre‐test, acquisition and competition transfer. Results revealed that advanced and novice surfing performance benefited from adopting an EFOA in both normal and competitive situations. These findings are discussed in terms of the theoretical implications for the CAH and OPTIMAL theory, in addition to the anxiety literature. Reference to applied implications when instructing and performing within ecologically valid surfing settings are also presented.
Final report of CCQM-K153 Measurement of Specific Adsorption A [mol/kg] of N2 and Kr on nonporous SiO2 at LN temperature (to enable a traceable determination of the Specific Surface Area (BET) following ISO 9277)
Authors: Sobina Egor , Zimathies, Annett , Prinz Carsten , Emmerling Franziska , Kurokawa Akira , Mizuno Kohei , Sadak Ali Enis , Karakus Erman , Wang Hai , Unger Wolfgang 
Published: May 2019

CCQM key comparison K-153 Measurement of Specific Adsorption A [mol/kg] of N2 and Kr on nonporous SiO2 at LN temperature (to enable a traceable determination of the Specific Surface Area (BET) following ISO 9277) has been performed by the Surface Analysis Working Group (SAWG) of the Consultative Committee for Amount of Substance (CCQM). The objective of this key comparison is to compare the equivalency of the National Metrology Institutes (NMIs) and Designated Institutes (DIs) for the measurement of specific adsorption, BET specific surface area) of nonporous substances (sorbents, ceramics, catalytic agents, etc) used in advanced technology.
In this key comparison, a commercial nonporous silicon dioxide was supplied as a sample. Eight NMIs participated in this key comparison, but only five NMI's have reported in time. All participants used a gas adsorption method, here nitrogen and (or) krypton adsorption at 77.3 K, for analysis according to the international standards ISO 15901-2 and 9277.
In this key comparison, the degrees of equivalence uncertainties for specific adsorption nitrogen and krypton, BET specific surface area were established.
KEY WORDS FOR SEARCH
nonporous SiO2, Specific Adsorption of N2 and Kr, BET specific surface area

Main text

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
A high-performance 4 nV (√Hz)−1 analog front-end architecture for artefact suppression in local field potential recordings during deep brain stimulation
Authors: Petkos Konstantinos , Guiho Thomas , Degenaar Patrick , Jackson Andrew , Brown Peter , Denison Timothy , Drakakis Emmanuel M 
Published: May 2019

Abstract

Objective. Recording of local field potentials (LFPs) during deep brain stimulation (DBS) is necessary to investigate the instantaneous brain response to stimulation, minimize time delays for closed-loop neurostimulation and maximise the available neural data. To our knowledge, existing recording systems lack the ability to provide artefact-free high-frequency (>100 Hz) LFP recordings during DBS in real time primarily because of the contamination of the neural signals of interest by the stimulation artefacts. Approach. To solve this problem, we designed and developed a novel, low-noise and versatile analog front-end (AFE) that uses a high-order (8th) analog Chebyshev notch filter to suppress the artefacts originating from the stimulation frequency. After defining the system requirements for concurrent LFP recording and DBS artefact suppression, we assessed the performance of the realised AFE by conducting both in vitro and in vivo experiments using unipolar and bipolar DBS (monophasic pulses, amplitude ranging from 3 to 6 V peak-to-peak, frequency 140 Hz and pulse width 100 µs). A full performance comparison between the proposed AFE and an identical AFE, equipped with an 8th order analog Bessel notch filter, was also conducted. Main results. A high-performance, 4 nV (

)−1 AFE that is capable of recording nV-scale signals was designed in accordance with the imposed specifications. Under both in vitro and in vivo experimental conditions, the proposed AFE provided real-time, low-noise and artefact-free LFP recordings (in the frequency range 0.5–250 Hz) during stimulation. Its sensing and stimulation artefact suppression capabilities outperformed the capabilities of the AFE equipped with the Bessel notch filter. Significance. The designed AFE can precisely record LFP signals, in and without the presence of either unipolar or bipolar DBS, which renders it as a functional and practical AFE architecture to be utilised in a wide range of applications and environments. This work paves the way for the development of externalized research tools for closed-loop neuromodulation that use low- and higher-frequency LFPs as control signals.
Numerical solutions to a class of scalar elliptic BVPs for anisotropic exponentially graded media
Authors: Azis M. I. 
Published: May 2019

Abstract
The Boundary Element Method (BEM) is used for obtaining solutions to another class of elliptic boundary value problems (BVPs) of anisotropic exponentially graded media. A technique of transforming the variable coefficient governing equation to a constant coefficient equation is utilized for deriving a boundary integral equation. Some particular problems are considered to illustrate the application of the BEM. The results show the convergence, consistency, and accuracy of the BEM solutions.
Application of tabu search method in solving a taxi-sharing problem
Authors: Hadiarti R N , Satria Y , Burhan H 
Published: May 2019

Abstract
Nowadays, a ride-sharing system is a trend among society for traveling. The ride-sharing system is a solution that can be developed to reduce the congestion because of the high amounts of the vehicle on the road. Taxi as an alternative transportation in an urban area can impose the ride-sharing system. Taxi-sharing aims to maximize the utilization of taxi capacity, thereby reduces the fare for passengers, increases the income for taxi operator, and reduces congestion, gas emission, as well as fuel consumption. In order to maximize the benefits of the taxi-sharing system usage, we need to optimize taxi routes and match requests that share taxi service. In this paper, we used a mixed integer programming problem as in Hosni et al (2014) to make a model of optimization of the taxi-sharing problem, then solved the problem by using a tabu search method. The experiments showed that the tabu search method could increase the income of taxi operator up to 10 - 14 %.
Application of parallel tabu search in solving Ride-sharing problem with HOV Lanes
Authors: Hanifa Y L , Satria Y , Burhan H 
Published: May 2019

Abstract
Ride-sharing can be defined as a system where travelers can share their vehicles and travel cost with others who have a similar destination and time schedule. Ride-sharing problem with High Occupancy Vehicle (HOV) Lanes is a problem of finding an optimal route to serve costumer demand where each demand and vehicle consists of origin and destination point, and some of the route are restricted-use freeways lanes reserved for vehicles with more than a predetermined number of occupants, which called HOV lanes. With the use of ride-sharing and HOV Lanes, it is expected to reduce the number of the vehicles thus will mitigate the congestion. The optimal solution is the one with minimum number of total distance, passenger’s ride time, and cost. This study discusses the application of insertion heuristic and parallel tabu search to optimize the use of Ride-sharing with HOV Lanes. Insertion heuristic is applied to obtain an initial solution and parallel tabu search algorithm is applied to improve the initial solution and obtain a better solution. For the case of eight vehicles and eight requests, from insertion heuristic we obtained an initial solution with an objective function value of 425 and with the used of parallel tabu search method we obtained a better solution with an objective function value of 420.
Effects of femoral head diameter on the predicted acetabular cup wear volume of CP-Ti and UHMWPE hip implants
Authors: Handoko  , Suyitno  , Dharmastiti Rini , Magetsari Rahadyan 
Published: May 2019

Abstract
Numerical investigation is a method capable to study the expensive and long-time duration wear problems in biotribology. The technique has been used to predict the wear of hip implants specially those made from metal on polymer biomaterials. This research studied the effect of commercially pure titanium (CP-Ti) femoral head diameter on the wear volume of ultra-high molecular weight polyethylene (UHMWPE) acetabular cup. Diameter variations are 22 mm, 28 mm and 32 mm. Hip implant models were created and the numerical approximations conducted with the finite element method. Wear calculations used a nonlinear load and contact area mathematical model. A Python script was developed to proceed the calculations. Accurate wear predictions can be obtained with the use of fine elements those maximum contact loads are closer to the physiological load. Verification with experimental data on the 32 mm femoral head model shows a good agreement with error rates below 1%.
Verified numerical computations for dense linear systems in supercomputing
Authors: Ozaki Katsuhisa 
Published: May 2019

Abstract
The numerical computations with guaranteed accuracy called verified numerical computations are studied, herein. We focus on an accurate numerical solution for dense linear systems of the form Ax = b and error bound of

‖

x
^

−
x

‖

∞

in supercomputing, where

x
^

is an approximate solution. First, we implemented accurate algorithms for a matrix-vector product for parallel and distributed computing, and then, applied them to iterative refinements. Next, we implemented verified numerical computations using the Parallel Basic Linear Algebra Subprograms (PBLAS) and the Scalable Linear Algebra Package library (ScaLAPACK). Numerical examples of the verified numerical computations for linear systems are presented using the Fujitsu FX100 supercomputer. They clearly illustrate the efficiency of the verified numerical computations.
Comparison of the Bayesian and Maximum Likelihood Estimation of Rayleigh Distribution for Right Censored Survival Data Type II
Authors: Rahajeng Ika D. P , Fithriani Ida , Nurrohmah Siti 
Published: May 2019

Abstract
In this paper, we used maximum likelihood and Bayes method to estimate parameter of Rayleigh distribution for right censored survival data type II to know the best method. The prior knowledge which used in Bayes method is Invers Gamma prior. Maximum likelihood and Bayes method under Square Error Loss Function will be compared. We compare these methods by Mean Squared Error (MSE) value using R program. After that, the result will be displayed in tables to facilitate the comparisons.
Designing Consensus Algorithms for Three-Link Manipulators
Authors: Zhai Guisheng , Nakamura Satoshi , Mardlijah  
Published: May 2019

Abstract
We deal with a consensus control problem for a group of three-link manipulators which are networked by digraphs. Assuming that the control inputs of each manipulator are the torques on its links and they are constructed based on weighted difference between its states and those of its neighbor agents, we aim to propose an algorithm on computing the weighting coefficients in the control inputs, so that full consensus is achieved among the manipulators. The control problem is reduced to designing Hurwitz polynomials with complex coefficients. We show that by using Hurwitz polynomials with complex coefficients, a necessary and sufficient condition is obtained for designing the consensus algorithm. Moreover, the discussion is extended to the case of designing convergence rate of consensus. Numerical examples are provided to illustrate the condition and the design algorithms.
Characterization of input-output group decoupling for linear descriptor systems using controllability subspaces
Authors: Arman  , Eso Rosliana , Abdin  
Published: May 2019

Abstract
In this paper we study the problem of the characterization of group decoupled system for linear descriptor systems with index one using controllable subspaces. From the standard decomposition form, the linear descriptor systems can be separated into slow and fast subsystems. In this form, using controllable subspaces, we give some results for the characterization of input-output group decoupled for slow and fast subsystems, respectively. Furthermore, the characterization of the input-output group decoupling yields the normal forms for the input-output group decoupling of linear descriptor system with index one. This normal form can be used in order to define weakly coupled linear systems. All the results that have been obtained in this study can be used to determine the formulation of algorithms in solving the problem of linear quadratic optimal control that contains systems that are consider as weakly coupled subsystems.
Mathematical Literacy of Male and Female Students in Solving PISA Problem by “Shape and Space” Content
Authors: Trapsilasiwi D , Oktavianingtyas E , Putri I W S , Adawiyah R , Albirri E R , Firmansyah F F , Andriani Y 
Published: May 2019

Abstract
This is a descriptive research which aims to describe mathematical literacy of male and female students by solving PISA problem. Mathematical problems are not only related to calculations, but how our ability to apply mathematical knowledge to solve problems in daily life. The importance of mathematical literacy can be seen from the PISA. The content of this research is shape and space content. Determination of this mathematical level is corresponding by some indicators which has been developed. It has three levels that consist of low level, medium level and high level. It has been addapted with 6 indicators of mathematical literacy of PISA. The result of this research is male students reach low level 43,75%, medium level 37,5% and high level 18,75%. While, female students reach low level 11,11%, and medium level 88,89%.
Preliminary study of Malaysian eco-friendly car selection by using analytic hierarchy process
Authors: Che Jamil Fadhilah , Shariff Adli Aminuddin Adam 
Published: May 2019

Abstract
As the global community is moving towards the usage of a cleaner technology, automotive industry has designed the car to become more environmentally friendly, or eco-friendly. Malaysia aims to produce 200,000 electric vehicles (EV) by the year 2020 but this effort might be halted due to the fact that electric vehicle’s sales is not promising for the time being. This research attempts to investigate the current preference of Malaysian to buy their car, and whether they really prefer to buy the eco-friendly car. An Analytic Hierarchy Process (AHP) model for Malaysian eco-friendly car selection is developed by this research which involves aggregated group judgment from 22 respondents. The result indicates that safety is the highest priority for the Malaysian to buy cars, followed by fuel economy, services, performance, affordable price, emission and design. Two of the criteria which are closely related with eco-friendly factor which are fuel economy is ranked at second whereas emission is ranked at sixth. This concludes that Malaysian still consider eco-friendly factor, which also justify the selection of AHP model for the best eco-friendly car to be Nissan Leaf (2016), followed by Hyundai Ionic HEV (2017), Mercedez Benz C350e (2016), Perodua Myvi 1.3 Ezi (2017), and Toyota Prius 1.8 VVT-i Active (TRK) Auto.
H-Irregularity Total Strength of Fan Graphs
Authors: Hinding Nurdin , Haeruddin  , Haryanto Loeky 
Published: May 2019

Abstract
Determine of H-irregularity total strength in all graphs was not complete on graph classes. Research aims to determine algorithm the H-irregularity total of fan graph, with use H-covering, where H isomorfic to. The determination of H-irregularity total strength of fan graph was conducted by determining the greatest lower bound and the smallest upper bound. The lower bound was analysed by using theorem that

t
h
s
(
G
,
H
)
≥
max

{

⌈

1
+

m
1

−
1

|

V
(

H
/

S
1

)

|

+

|

E
(

H
/

S
1

)

|

⌉

,
…
,

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1
+

m
1

−
1

|

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/

S
z

)

|

+

|

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/

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z

)

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}

while the upper bound was analysed by vertex labeling edge labeling and count weight H-covering. In this paper, we are find of fan graph Fn
, n ≥ 4 with covering-C4
.
Metacognitive activity of male students: difference field independent-dependent cognitive style
Authors: Pathuddin  , Ketut Budayasa I , Lukito Agung 
Published: May 2019

Abstract
The study aimed to explore the metacognitive activities of male students who were independent field cognitive style and field dependent cognitive style in solving problems. The type of this research is explorative with qualitative approach, that is from written works and in-depth interviews. Data analysis is done through data reduction, data presentation, data interpretation and conclusion drawing. The results showed that male students with field independent cognitive style, had a tendency to be structured, well organized in solving problems, could restructure new information and relate it to the knowledge they had. While male students with field dependent cognitive style, they had characteristics in solving problems are unstructured and not well organized. Also, they’re difficult to restructure new information and relate it to the knowledge they have.
Altitude Control Design of LSU-05 Aircraft Using Abstraction Method
Authors: Afif Nasrul Anam Muhammad , Adzkiya Dieky , Asfihani Tahiyatul 
Published: May 2019

Abstract
LAPAN Surveilance-05 (LSU-05) is a fixed wing type aircraft developed by LAPAN. This aircraft can be used for monitoring and mapping a very wide range of areas. In carrying out operational missions, the aircraft requires reliable control of autopilot to control flying altitudes, thus facilitating and able to support the mission and for aircraft safety. In the design of the control, we apply the abstraction method using software Pessoa. The design of the control with abstraction aims to design the control such that the closed loop system behavior satisfies the specifications in the form of simple temporal logic. In the experiments, we conduct two scenarios. For each scenario, we use different specification and different abstraction parameter.
Analysis of portfolio optimization with inequality constraints
Authors: Sukmana Agus , Chin Liem , Chendra Erwinna 
Published: May 2019

Abstract
In investing, generally an investor wants an optimum portfolio. This means that the forming portfolio has minimum risk, maximum return or can also be a combination of both with other constraints determined by the investor. These constraints could be in the form of short selling, amount of owning funds, return target, risk target or other constraints. Short selling constraints are inequality in the mathematical model, while other constraints can be in the form of equalities or inequalities. This paper discusses the portfolio optimization with these inequality constraints. In addition, we will provide an example for this portfolio optimization application by analysing portfolio that consists of shares in the LQ45 index. We do this analysis with Solver that is available in Microsoft Excel.
Application of Needleman-Wunch Algorithm to identify mutation in DNA sequences of Corona virus
Authors: Isa Irawan Mohammad , Mukhlash Imam , Rizky Abduh , Ririsati Dewi Alfiana 
Published: May 2019

Abstract
—Corona virus is a virus capable of mutating very quickly and many other viruses that arise due to mutations of this virus. To find out the location of corona virus mutations of one type to another, DNA sequences can be aligned using the Needleman-Wunsch algorithm. Corona virus data was taken from Genbank National Center for Biotechnology Information from 1985-1992. The Needleman-Wunsch algorithm is a global alignment algorithm in which alignment is performed to all sequences with the complexity of O (mn) and is capable of producing optimal alignment. An important step in this reserach is the sequence alignment of two corona viruses using the Needleman-Wunsch algorithm. Second, identification of the location of mutations from the DNA of the virus. The result of this reserach is an alignment and the location of mutations of both sequences. The results of identification DNA mutation can be used to find out other viruses mutation corona virus as well as can be used in the field of health as a reference for the manufacture of drugs for corona virus mutation outcome.
Optimal replenishment policy for multi-item probabilistic inventory model with all-units discount
Authors: Lesmono Dharma , Limansyah Taufik , Koswara Handi 
Published: May 2019

Abstract
In this paper, we develop a multi item inventory model for the retailer by considering all-units discount offered by the supplier. Demands in this model are assumed to be probabilistic following a Gamma distribution with certain values of shape and scale parameters. The aim of the model is to determine the optimal replenishment policy that minimize the total inventory cost. The total inventory cost was composed from the purchasing, ordering, handling or storing and shortage costs. All shortages are handled by backorder. We compare the individual and joint replenishment policies for the model and develop an algorithm to find the optimal replenishment policy. Numerical examples are given to give a better understanding of the model in comparing the individual and joint replenishment policies. We also perform sensitivity analysis by changing values of shape and scale parameters of the demand distribution to analyse the effects on the optimal solution.