bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study of antibacterial activity of Tamarindus indica Linn seed oil and its fatty acids
Authors: Sutrisno  , Retnosari R , Marfu’ah S 
Published: July 2019

Abstract
The study of antibacterial activity of oil from Tamarindus indica Linn seed and fatty acids was conducted in this research. Oil of this plant seed was isolated by extraction and fractionation. Constituents of fatty acid in the oil identified as methyl ester fatty acids. The methyl ester fatty acid was carried out by trans-esterification with methanol/BF3. The methyl ester was identified by gas chromatography and mass spectrometer (GC-MS). There are 13 fatty acids in the Tamarindus indica seed oil including octanoic, decanoic, dodecanoic, tetradecanoic, hexadecanoic, octadecanoic, eicosanoic, docosanoic, tetracosanoic, 11-octadecenoic, 11-eicosenoic, 9,12-octadecadienoic, and 9-octadecenoic acids. The transformation of tamarind seed oil into fatty acids was carried out through hydrolysis with potassium hydroxide solution followed by acidification with a hydrochloric acid solution. The physical and biological properties of the seed oil and fatty acids against antibacterial activity are reported in this paper.
Utilization of microbial-assisted composting of the palm-press fiber as pre-nursery growing medium for oil palm seedlings
Authors: Madusari S , Ani R H , Ningsih W F 
Published: July 2019

AbstractOil palm fruit fiber (mesocarp) is waste generated mainly from palm oil manufacturing activities. Since it is organic in origin, they are rich in nutrient for the plant. Composting can be a suitable method for converting the fiber into compost that can be used as growing media. In this study, three types of composts were made by mixing the fiber with cow manure in ratios as follows: fiber compost I (3:1), fiber compost II (1:1) and fiber compost III (1:3) respectively and the chemical properties (pH, temperature and nutrient content) of them were determined. Their suitability as growing media was observed through growth performance of oil palm seedlings. They were grown in four types of growing media which were F0 = subsoil 100% (control), F1 = 90% fiber compost I : 10% subsoil, F2 = 90% fiber compost II : 10% subsoil, F3 = 90% fiber compost III : 10% subsoil. As results, initial pH of fiber compost I were lower than other composts but value eventually similar by the end of the study. The composting temperature which higher, in the beginning, were decreasing and were stable at the end of composting (week 6). The growth of oil palm seedlings was the greatest when grown in a mixture of 90% fiber compost II: 10% subsoil. Results of this study suggest a bright future for the use of fiber as growing media as indicated in chemical properties of fiber that can be improved through composting process and its positive effect as reflected in the growth of oil palm seedlings.
An empirical study of the performance of two stage optimal ensemble classification using genetic algorithm
Authors: Raharjo R D R , Soleh A M , Sartono B 
Published: July 2019

Abstract
Zelenkov et al. [1] proposed a two-step classification method (TSCM) based on genetic algorithm to predict the bankruptcy of Russian companies. This current study was conducted to do more comprehensive evaluation than Zelenkov et al. [1] did. We involved more datasets, compared to a greater number of competitive methods, and developed the ensemble using more base classifiers. The datasets consisted of nine datasets and then the result of prediction compared to previous studies from 13 papers that were published between 1996 and 2009. In addition, the previous method using five base classifiers, this study involved seven base classifiers. The purpose of this study is to compare the accuracy of prediction from previous studies with this method. In this study, we used k-Nearest Neighbour (k-NN), Logistic Regression (LR), Naïve Bayes (NB), Decision Tree (DT), support vector machine (SVM), random forest (RF), and boosting as the base classifiers of ensemble model. Genetic algorithm is used to find the best predictor variables and the best weight for each base classifier. The result of TSCM shows that the accuracy of prediction can increase about 0-34% for some datasets compared to the previous studies.
Graphical user interface (GUI) for the least absolute shrinkage and selection operator (LASSO) regression
Authors: Dito G A , Safitri A , Afendi F M , Anisa R , Salim A , Sartono B 
Published: July 2019

AbstractIn Data Science, we usually encounter High-dimensional data. In this situation, the Classical Regression method usually cannot perform well because it is impossible to include all covariates in the model since the number of a parameter to be estimated is larger than the sample size. Least absolute shrinkage and selection operator (Lasso) method is one of the methods which can deal with this problem. Lasso regression perform the selection of covariates so that only the most influential covariates are used in the model. Unfortunately, most of Lasso method should be performed in CLI Software which is difficult to use for the general user. For this reason, we develop a web application by using Shiny to perform the Lasso method based on GUI which is easier to use. It allows users to analyze high-dimensional data without using programming language. The paper contains an implementation of Lasso Regression using web application on olive pomade oil data.
Life span extension of model yeast Saccharomyces cerevisiae upon ethanol derived-clover bud extract treatment
Authors: Astuti R I , Listyowati S , Wahyuni W T 
Published: July 2019

Abstract
Antioxidant properties of clove bud have been widely studied due to its potential use in the pharmaceuticals field. One of the chemical bioactive compounds that show antioxidant activity is flavonoid. Our study revealed that the flavonoid content of ethanol-derived extract of clove bud was approximately 93.245 mg QE/100 gram. Less is known regarding the mode of actions of antioxidant from clove bud in cellular systems. In this study, we used model organism yeast Saccharomyces cerevisiae to study the action of antioxidant activity in cellular systems. We found that ethanol-derived clove bud extract (100 ppm) enhanced cells viability following H2O2-induced oxidative stress. Interestingly, clove bud extract increased yeast-antioxidative stress tolerance phenotype in a dose-independent manner. Suggesting, prooxidant activity of clove bud extract. Mitochondria have been known to involve in oxidative stress tolerance mechanisms primarily via mitochondrial adaptive ROS-signaling. Our data revealed that yeast mitochondrial membrane potential was unchanged following 100 ppm extract treatment yet significantly increased in higher extract treatment. Our study indicated that 100 ppm extract-supplementation in yeast culture resulted in a higher survival rate of yeast after 15-days of incubation, compared to that without extract treatments. We suggest that clove bud extract (100 ppm) could enhance oxidative stress tolerance phenotype in yeast S. cerevisiae, which then attributed on life span extension through its ROS scavenging activity. Further study must be conducted to confirm the underlying mechanisms of clove bud extract both physiologically and genetically.
PayPOS user experience improved small and medium sized micro business existence in the disruptive era
Authors: Rachmaniah M , Rafdi  , Miftah M R A , Yanuar A 
Published: July 2019

Abstract
Small and Medium Sized Micro Business (UMKM) owners often experience difficulties in running their business. UMKM needs real-time access on its transactions in order to properly oversee its business endeavors. This study was aimed to overcome UMKM restriction by taking advantage of disruptive era advancement through the development of a web-based UMKM point of sale software application named PayPOS. To do this, we carried out two iterations of user experience (UX) study parallel with the development of transaction and inventory modules. The UX study utilized the Lean UX method and applied mid-fidelity prototype interfaces and cognitive walkthrough to measure its usability metric efficiency and effectiveness. In the meantime, the transaction and inventory modules applied to the incremental method. Here, the development of the transaction module was divided into four increments: basic transactions, sales transactions, repair and maintenance orders, and transaction reports. Whereas the development of the inventory module was divided into two increments: inventory management and purchase order. On the first UX iteration, the success rate was 72%, whereas, on the second iteration, the success rate was 78%. The overall success rate on tasks tested was 92% which indicated that UX outcomes were easy to use. Further, upon modules integration completion, the PayPOS developed was successfully tested using the Black box method. The user acceptance test carried out also indicated that PayPOS exhibited an attractive interface, easy to understand, and suitable menus and submenus. Hence, the employment of UX study results in the development of PayPOS has helped facilitate business owners in managing their business processes.
Nonlinear Effects in the Behavior and Fracture of Composite Materials
Authors: Lomakin E V , Fedulov B N , Fedorenko A N 
Published: July 2019

Abstract
This paper presents an approach to the formulation of models characterizing nonlinear deformation and damage of composite materials. The research includes the consideration as the simplest model as more complex ones. In this research, a number of material relations to build up a theory for failure prediction in laminated composites are presented. The considered approach deals with the degradation and failure of the material using a phenomenological introduction of damage parameters explicitly influencing on the composite material stiffness. The part of this work is dedicated to the extension of formulated approach to capture and take into account the complex effects such as initial nonlinear shear deformation properties of laminated composites and the influence of high strain rate on the strength characteristics.
Experimental Setup for Studying Thermosolutal Convection in Moist Air
Authors: Somov S A , Ivanov A S 
Published: July 2019

Abstract
The paper is concerned with designing an experimental scheme for studying convection of moist air under conditions closely approximating the atmospheric conditions. Detailed numerical estimates, necessary conditions and dimensionless gas-dynamic parameters characteristic of the problem of dry and moist air convection are presented and analyzed. The distinctive features of convection of dry and wet air at constant pressure caused by changes in the concentration of water vapor as a result of its evaporation (condensation) are discussed. The effect of water vapor concentration on the convective instability of moist air is analyzed in the context of solutal convection, characterized by the Rayleigh concentration number. The obtained numerical estimates are used to demonstrate the possibility of differentiating and comparing between the processes of convective heat and mass transfer in humid and dry air under laboratory conditions. In future, this will allow researchers to obtain experimental data on the influence of the water-vapor phase transition on the intensity of convective motion in moist air. The structure and detailed technical characteristics of the constructed experimental setup designed for studying convection in moist air in the temperature range from 10 to 30 C are described.
Patient-Specific Bile Flow Simulation to Evaluate Cholecystectomy Outcome
Authors: Kuchumov A 
Published: July 2019

Abstract
Gallbladder disease has one of the leading positions by patients’ number in the World. About 16% of the adult population is suffering now from this disease. Cholecystectomy is believed to be a general surgical method of the gallbladder disease treatment, but the success rate is quite low because the surgeons do not take into account the patient-specific features during the treatment and cannot predict operation results.The main purpose of the paper is to create a computational tool for numerical evaluation of cholecystectomy outcome compared with healthy state and current pathological state based on the patient-specific patients’ data. The patient-specific features of the biliary tree were studied by 1-way FSI bile flow simulation. The extra-hepatic biliary tree geometries were extracted from MRI and after that imported to ANSYS CFX for the subsequent fluid dynamics analysis.It was revealed that in the pathology state, velocities were found to have lower magnitude while the pressures were higher. The patient-specific features have a dramatic influence on the bile flow patterns. Cholecystectomy leads to the decrease of bile flow rate in the extra-hepatic biliary tree. The proposed computational approach can be applied to medical practice to evaluate the circumstances of surgical interventions.
Amplitude Dependence of Dynamic Susceptibility of a Magnetic Fluid at Acoustic Frequencies
Authors: Koskov M A , Pshenichnikov A F 
Published: July 2019

Abstract
The energy dissipation in a magnetic fluid in the alternating magnetic field at the acoustic frequency was investigated experimentally. The purpose of the work is to gain information concerning the amplitude dependence of the dynamic susceptibility and the applicability range of the simplest linear relaxation equation for magnetization. Two independent methods were used: direct measurement of the dynamic susceptibility by a mutual inductance bridge in a weak sounding field and measurement of heat release in a magnetic fluid at high magnetic field amplitudes. In the latter case, the measuring technique is based on the well-known formula relating the heat release rate to the imaginary part of the dynamic susceptibility, which directly follows from the linear relaxation equation. A comparison of the results obtained by different methods revealed a systematic discrepancy between the results of two series of experiments, which is explained by the existence of multi-particle clusters (aggregates) in the magnetic fluid with uncompensated magnetic moments. At frequencies of about 104 Hz, the brownian mechanism for the relaxation of magnetic moments is blocked due to the large size of the aggregates (ωτ
B ≫ 1). In addition, at small amplitudes of the sounding field, the Neel relaxation mechanism is also blocked due to the high energy of inter-particle interactions inside the aggregate and the appearance of high potential barriers. The situation changes with an increase in the field amplitude, when the energy of interaction of the aggregated particles with the external field becomes comparable with the height of the potential barrier. The aggregates are involved in the process of magnetization reversal, increasing the dynamic susceptibility and energy dissipation in a magnetic fluid.
Non-isothermal Steady Flow of Non-Newtonian Fluid in an Axisymmetric Channel
Authors: Borzenko E I , Ryltseva K E , Shrager G R 
Published: July 2019

Abstract
Non-isothermal steady-state flow of a viscoplastic fluid in an axisymmetric channel is studied with account for viscous dissipation at a specified constant flow rate. The rheology of the medium is described by the Herschel-Bulkley law with a temperature dependence of yield stress and consistency defined by exponential law. On the solid wall, the no-slip boundary condition and the assigned temperature are used. The mathematical statement of the problem includes the dimensionless motion and energy equations and boundary conditions. The problem is solved numerically using a finite-difference approach. The difference equations are solved by sweep method. When applying a shock-capturing method for calculating the flow, the rheological model is regularized in order to eliminate stress singularity in the regions of zero shear rates. The steady-state distributions of velocity, temperature, viscosity, and dissipative function are obtained. A limiting value of pressure drop defining the existence domain of a steady solution is proved to exist. Two problem solutions are obtained at a specified pressure drop, which are referred to as high- and low-temperature flow regimes. As a result of computations, different flow structures with unyielded regions occurring near symmetry line and in the dead zone next to a solid wall are revealed.
Investigation of the Extrusion Process Influence on the Thermophysical, Rheological Properties and Operational Characteristics of Insulating Polymers
Authors: Ershov S V , Trufanova N M 
Published: July 2019

Abstract
In this work, we carried out complex experimental studies of the thermophysical and rheological properties of the initial and secondary (after extrusion) polymer compositions based on low, medium and high density polyethylene, intended for the cable insulation production. On the basis of the obtained experimental data, a comparative analysis of the numerical study results of the flow processes in the extruder metering zone with a constant technological regime was carried out. Changes in the graphics of maximum and average temperature values along the length of the channel are received.
Energy levels in a self-similar fractal cluster
Authors: Yorikawa H 
Published: July 2019

Abstract
The energy spectrum of atomic clusters with a fractal structure corresponding to a Sierpiński triangle on a hexagonal lattice are studied theoretically using a simple tight-binding Hamiltonian. The evolution of the energy levels and degeneracy with the growing generation of the fractal cluster is investigated. The energy states are classified into two groups: growing states and temporary states. States belonging to the first group continue to grow after appearing at a certain generation, while those of the second group do not grow. The self-similar structure of the cluster model is reflected in the growing states, which consist of three distinct types. The energy levels of the growing states, whose degeneracy obeys a recurrence relation, can be expressed by an iterated or multi-nested function including the infinitely nested square root function.
Hessenberg varieties, intersections of quadrics, and the Springer correspondence
Authors: Chen Tsao-Hsien , Vilonen Kari , Xue Ting 
Published: July 2019

In this paper we introduce a certain class of families of Hessenberg varieties arising from Springer theory for symmetric spaces. We study the geometry of those Hessenberg varieties and investigate their monodromy representations in detail using the geometry of complete intersections of quadrics. We obtain decompositions of these monodromy representations into irreducibles and compute the Fourier transforms of the IC complexes associated to these irreducible representations. The results of the paper refine (part of) the Springer correspondece for the split symmetric pair

(
S
L
(
N
)
,
S
O
(
N
)
)

(SL(N),SO(N))

in [Compos. Math. 154 (2018), pp. 2403–2425].
Development of a Job-Exposure Matrix for Assessment of Occupational Exposure to High-Frequency Electromagnetic Fields (3 kHz–300 GHz)
Authors: Migault Lucile , Bowman Joseph D , Kromhout Hans , Figuerola Jordi , Baldi Isabelle , Bouvier Ghislaine , Turner Michelle C , Cardis Elisabeth , Vila Javier 
Published: July 2019

AbstractObjectivesThe aim of this work was to build a job-exposure matrix (JEM) using an international coding system and covering the non-thermal intermediate frequency (IF) (3–100 kHz, named IFELF), thermal IF (100 kHz–10 MHz, named IFRF), and radiofrequency (RF) (>10 MHz) bands.MethodsDetailed occupational data were collected in a large population-based case–control study, INTEROCC, with occupations coded into the International Standard Classification of Occupations system 1988 (ISCO88). The subjects’ occupational source-based ancillary information was combined with an existing source-exposure matrix and the reference levels of the International Commission on Non-Ionizing Radiation Protection (ICNIRP) for occupational exposure to calculate estimates of level (L) of exposure to electric (E) and magnetic (H) fields by ISCO88 code and frequency band as ICNIRP ratios (IFELF) or squared ratios (IFRF and RF). Estimates of exposure probability (P) were obtained by dividing the number of exposed subjects by the total number of subjects available per job title.ResultsWith 36 011 job histories collected, 468 ISCO88 (four-digit) codes were included in the JEM, of which 62.4% are exposed to RF, IFRF, and/or IFELF. As a reference, P values for RF E-fields ranged from 0.3 to 65.0% with a median of 5.1%. L values for RF E-fields (ICNIRP squared ratio) ranged from 6.94 × 10−11 to 33.97 with a median of 0.61.ConclusionsThe methodology used allowed the development of a JEM for high-frequency electromagnetic fields containing exposure estimates for the largest number of occupations to date. Although the validity of this JEM is limited by the small number of available observations for some codes, this JEM may be useful for epidemiological studies and occupational health management programs assessing high-frequency electromagnetic field exposure in occupational settings.
SCAT Symptom Recall Bias in Concussed Athletes
Authors: Arends P , Wagner R J S , Mrazik M 
Published: July 2019

Abstract

Purpose
The assessment of concussed athletes uses standardized tools like the Sport Concussion Assessment Tool (SCAT). The purpose of this study was to evaluate whether concussed athletes accurately recalled baseline functioning.

Methods
A retrospective cohort analysis of University football student-athletes from 2014-16 seasons was conducted. Forty-six student-athletes (M=19.7, SD=1.8) who suffered a concussion during the competitive season underwent a post-concussion assessment with a sports medicine physician within 24 hours of injury. Assessments included use of the symptom report from The SCAT3. Athletes were asked to recall their pre-injury baseline functioning.

Results
Of the 46 athletes who underwent assessments, 22 reported having at least 1 symptom (M=1.4, SD=2.0) at baseline evaluations. Yet at the initial medical evaluation, only 10 of these athletes correctly recalled having symptoms prior to injury, and none of them accurately reported their total symptom report. Paired t-tests revealed significant differences between an athletes predicted recall of the number of symptoms (M=0.7, SD=1.2) and total symptom scores (M=2.1, SD=3.4) conditions; t(45)=-3.28, p=.002, d=0.48.

Conclusion
Having accurate information for diagnosing concussions is important during concussion medical evaluations. Many clinicians depend on an athlete’s subjective reporting of symptom change. Our results indicate that an athlete’s accuracy of pre-injury functioning is poor, consistent with what has been termed “the good old days bias.” The findings suggest having baseline assessments can be helpful and clinicians may need to carefully understand an athletes pre-morbid functioning.