bluuebunny/crossref_metadata_2025_split huggingface dataset:
ARIMA Intervention Model for Measuring the Impact of the Lobster Seeds Fishing and Export Ban Policy on the Indonesian Lobster Export
Authors: Ilmiah Ria Dhotul , Oktora Siskarossa Ika 
Published: December 2021

Abstract
An intervention model is an analytical method for evaluating or measuring the impact of an external event called intervention, such as a natural disaster, holidays, sales promotions, and other policy changes. Two types of intervention variables will be used to represent the presence or absence of the event, i.e., a pulse or step. The pulse function is used to represent a temporary intervention, whereas the step function shows a long-term intervention. This study aims to develop a time series model with an intervention of step function for measuring the impact of two policies related to the prohibition of fishing and the export of lobster seeds on the export value of Indonesian lobster. These policies are the Ministerial Regulation No.1 of 2015 since January 2015 related banning of lobster seeds fishing (called first intervention) and the Ministerial Regulation No. 56 of 2016 since January 2017 related lobster seeds fishing and export ban policy (called second intervention). These regulations are designed to ensure lobster sustainability and add value to lobsters that are currently overfished. The results show that both policies significantly affect the export value of lobster in Indonesia, and the interventions have a permanent impact.
Stroke Classification Model using Logistic Regression
Authors: Annas S , Aswi A , Abdy M , Poerwanto B 
Published: December 2021

AbstractThis study aims to determine the factors that significantly affect the classification of stroke. The response variable used is the type of stroke, namely non-hemorrhagic stroke and hemorrhagic stroke. The predictors used were cholesterol level, blood sugar level, temperature, length of stay, pulse rate, and gender. By using logistic regression, the results obtained modeling accuracy of 74.8% where the predictors that have a significant effect (alpha <0.05) are total cholesterol and length of stay.
Exploration of Comparative Concepts in the Ethnomathematics of The Buton Traditional House
Authors: Kadir  , Salim  , Jafar  
Published: December 2021

Abstract
The Buton community has practiced mathematical culture in the form of a Buton traditional house called banua tadha (right house). The purpose of this study was to explore the comparative concepts in the ethnomathematics of the Buton traditional house. This research is qualitative research with an ethnographic approach. The results of this study indicate that every Buton traditional house contains several comparative concepts in the ethnomathematical: (1) the width of the door and the width of the stairs, (2) the walls of the house and the tutumbu, (3) the width of the house and tutumbu, (4) wall and pillar heights, (5) the height of the bhate and the length of the limana bathe, (6) the height of the front wall to the height of the side walls, (7) the width of the stair post with the size of the rungs of the stairs, and (8) wall height and house pole height, and (9) the shape of a right triangle formed by a crutch (konta), a pole (ariy), and a buffer (tadha). These comparisons can be used in learning mathematics to pass on the ethnomathematical local wisdom of the Buton traditional house.
Prediction of Forest Fire using Hybrid SOM-AdaBoost Method
Authors: Rosadi D , Andriyani W , Arisanty D , Agustina D 
Published: December 2021

Abstract
Prediction of the occurrences of forest fire has become interest of various research studies for instances, it is found that the hybrid method based on clustering using fuzzy c-means before doing the classification approach will improve the performance of prediction than directly apply the classification approach. In this study, we will consider the new hybrid approach between clustering based on Self Organizing Map (SOM) approach and classification using Boosting (AdaBoost) approach. Our empirical analysis shows using the same public data set, which has been used in several previous studies, the performance of hybrid SOM-AdaBoost will outperforms other methods in literatures.
Selection of Optimal Smoothing Parameters in Mixed Estimator of Kernel and Fourier Series in Semiparametric Regression
Authors: Ampa Andi Tenri , Nyoman Budiantara I , Zain Ismaini 
Published: December 2021

Abstract
In this article, we propose a new method of selecting smoothing parameters in semiparametric regression. This method is used in semiparametric regression estimation where the nonparametric component is partially approximated by multivariable Fourier Series and partly approached by multivariable Kernel. Selection of smoothing parameters using the method with Generalized Cross-Validation (GCV). To see the performance of this method, it is then applied to the data drinking water quality sourced from Regional Drinking Water Company (PDAM) Surabaya by using Fourier Series with trend and Gaussian Kernel. The results showed that this method contributed a good performance in selecting the optimal smoothing parameters.
Research on Melon Fruit Selection Based on Rank with YOLOv4 Algorithm
Authors: Budiarti Nur Azizah Eka , Wahjuni Sri , Suwarno Willy Bayuardi , Wulandari  
Published: December 2021

AbstractMelon is one of the most popular fruits that is exceptionally favoured in Indonesia because it can be consumed directly as fresh fruit or processed as juice or salad. To meet the national market demand, several technologies are used to increase production, one of which is fruit selection. Plants need to be pruned based on fruit size so that fruit quality is maintained. One of the new approaches to detect plant fruits is using deep convolutional neural networks. The goal is to build a melon fruit detection system based on fruit size ranking for selection reliability. Recent work in deep neural networks has developed an excellent object detector, namely the one-stage You Only Look Once (YOLO) algorithm. We used the YOLOv4 model, the fourth generation of YOLO with speed acceleration and detection accuracy better than the previous versions. In addition, eight model schemes were tested with three different hyper-parameters: batch size, iterations, and learning rate. It was found that Scheme G using batch size 64, iterations 2000, and learning rate 0.001 obtained the highest score for both F1-score and mAP with values of 84.47% and 87.68%, respectively. It can be said that the F1-score value is directly proportional to the mAP value.
Combination of ADASYN-N and Random Forest in Predicting of Obesity Status in Indonesia: A Case Study of Indonesian Basic Health Research 2013
Authors: Aqsha M , Thamrin SA , Lawi Armin 
Published: December 2021

Abstract
Obesity is a pathological condition due to the accumulation of excessive fat needed for body functions. The risk factors for obesity are related to their obesity status. Various machine learning approaches are an alternative in predicting obesity status. However, in most cases, the available datasets are not sufficiently balanced in their data classes. The existence of data imbalances can cause the prediction results to be inaccurate. The purpose of this paper is to overcome the problem of data class imbalance and predict obesity status using the 2013 Indonesian Basic Health Research (RISKESDAS) data. Adaptive Synthetic Nominal (ADASYN-N) can be used to balance obesity status data. The balanced obesity status data is then predicted using one of the machine learning approaches, namely Random Forest. The results obtained show that through ADASYN-N with a balance level parameter of 1 (β = 100%) after synthetic data generation and Random Forest with a tree number of 200 and involving 7 variables as risk factors, giving the results of the classification of obesity status which is good. This can be seen from the AUC value of 84.41%.
Validation and Implementation of Hawgent on Pythagoras Theorem
Authors: Li Xinxin , Zhou Ying , Chen Mingliang 
Published: December 2021

Abstract
Math lessons are abstract and complex for students to understand, so that the teachers need instructional media to develop by using technology to help their students get deep learning. This study aimed to validate the instructional media to teach the Pythagorean theorem and describe the students and the teachers’ responses to the instructional media. The researchers implemented the ADDIE model in this study. The sample comprised 30 students in 7th grade and 56 teachers. The process of validation involved ten academics. The results of this study showed that the instructional material could be used. The results also showed that the students were happier when the teachers used the instructional media in the classroom.
Language Constraints in Constructing Arguments for Mathematical Proofs
Authors: Minggi I , Alimuddin  , Sabri  
Published: December 2021

Abstract
A learning trajectory for constructing mathematical proof has been developed. The trajectory is to provide the students with a step-by-step procedure in constructing arguments for proving mathematical statements. However, in proving activities, the students were found to encounter difficulties in completing a deductive axiomatic argument constituting an accepted mathematical proof. An investigation has been conducted to explore the problems the students experienced in constructing proofs. It was found that they faced language constraints in constructing mathematical arguments. They encountered challenges in how to correctly express the mathematical statements in their constructed proofs.
Measurements of the local temperature correlation time in a turbulent flame using coherent anti-Stokes Raman spectroscopy
Authors: Kobtsev VD , Kozlov D N , Kostritsa S A , Orlov S N , Smirnov V V , Volkov S Yu 
Published: December 2021

Abstract
The feasibility to determine the timescale of pulsations of “instantaneous” local temperatures in a turbulent flame at a microsecond time scale by using coherent anti-Stokes Raman scattering (CARS) spectroscopy is demonstrated for the first time to our knowledge. A laboratory laser measurement complex was utilized, based on two CARS-spectrometers employing synchronized pulse-repetitive lasers with 10 ns pulse duration. The system enabled to record, with high temporal resolution (in one single laser shot) and at a variable delay between two sequential shots following each other in pairs at a repetition rate of 10 Hz, series of CARS spectra of N2 molecules from a probe volume as small as 0.03×0.03×2 mm3. From the spectra, “instantaneous” temperatures at a given delay were derived. The obtained values enabled calculation of the correlation coefficient of temperature pulsations vs the delay. The results are presented for the series of 500 single-shot coupled measurements, at the delays in the range 1 μs – 0 ms, of local gas temperatures in a few points of an open turbulent partially premixed methane-air flame of a model burner with visually distinguishable stability of combustion. The average temperatures were between 1500 K and 1800 K. The measurements allowed temperature correlation times in the selected points of the flame to be derived.
Investigation of the bag-breakup phenomena of the spray generation processes during wind-wave interaction in the laboratory experiments with optical methods
Authors: Kandaurov A A , Sergeev D A , Troitskaya Yu I 
Published: December 2021

AbstractPresent paper devoted to the investigations with optical methods processes of artificially induced bag-breakup type of spray formation phenomenon within wind-wave interaction. Experiments were carried out on the Thermostratified Wind-Wave Tank of the IAP RAS. High-speed video filming with the shadow imaging method demonstrated that it was possible to artificially reproduce all the main stages of this phenomenon, which are also observed for the sporadically occurred ones: inflation of a thin membrane surrounded by a thicker rim, rupture of the membrane leading to the formation of small droplets, fragmentation of the rim with the formation of large droplets. Special processing of the images allowed us to estimate typical lifetimes and sizes of membrane for artificial bag-breakup events which turned out to be close to the same parameters for sporadically occurred ones.
Processing of two-dimensional velocity fields for reconstructing three-dimensional flow patterns
Authors: Yu Belov S 
Published: December 2021

Abstract
The paper is concerned with the obtaining three-dimensional velocity fields of a gas or liquid flow based on the available cross-sections of this flow. The descriptions of the main optical methods for studying flows are designed to construct a cross-section of the observed process, but it would be much more informative to obtain information in the visualization not in the cross-section of a volume, but in this volume itself. The paper deals with obtaining three-dimensional flow velocity fields using various approximation methods. The method of estimating the most suitable approximating function is also given. The determination of the optimal type of approximation for the reconstruction of the three-dimensional velocity field was tested on an artificially created vortex.
Aberration analysis of AOTF-based stereoscopic spectral imager using optical design software
Authors: Batshev VI , Gorevoy A V , Pozhar V E , Machikhin A S 
Published: December 2021

Abstract
Stereoscopic spectral imagers using acousto-optic tunable filters (AOTF) provide high-resolution narrow band images acquired from two viewpoints with different polarization in arbitrary spectral intervals, which allows obtaining three-dimensional hyperspectral models of inspected objects for many applications. We discuss modeling of acousto-optic (AO) cell for optical system design and introduce a program module for ray tracing through AO cell compatible with Zemax optical design software. A detailed study of the optical aberrations that limit the image quality in two AOTF-based stereoscopic systems implementing simultaneous AO diffraction of two differently polarized beams in single AO cell is presented. This approach may be used to design various AOTF-based imaging systems, but the limitations of ray tracing analysis should be considered.
Methodology for assessing the uncertainty of measurements of mechanical stresses by the ultrasonic method with the help of an optical-acoustic separate-combined transducer
Authors: Fedorov A V , Bychenok V A , Berkutov I V , Alifanova I E , Khoshev A E 
Published: December 2021

Abstract
The work is devoted to the ultrasonic method of controlling mechanical stresses using ultrasonic head waves. The factors that contribute to the result of measurements of mechanical stresses include: the propagation velocity of the head ultrasonic wave, the temperature of the environment and the object of control, the coefficients of acoustoelastic and thermoacoustic coupling, parameters of the optical-acoustic transducer. The contribution of each of these factors to the results of measurements of mechanical stresses is assessed. A technique for assessing the uncertainty of measurements of mechanical stresses by the ultrasonic method using head waves has been developed.
Spectral analysis of the photoconductivity for characterization of CdTe И CdZnTe detectors
Authors: Gazizov I M , Smirnov A A 
Published: December 2021

Abstract
The results of the application of optical methods are considered: spectral analysis of photoconductivity in the range 400–1800 nm and field measurements of stationar photoconductivity to study the bulk and surface characteristics of CdTe and CdZnTe gamma-ray detectors. The studies of the photoresponse of the samples were carried out in different irradiation modes: modulated at a frequency of 25 Hz and a constant light flux. The measurements were carried out at room temperature on domestic and foreign materials of detector quality. Using the spectral photoconductivity method, the parameters of deep levels, which affect the detector properties, have been estimated in the studied materials. Based on the calculations of the field dependences of the photoconductivity, the volume and surface parameters of the capture and recombination of non-equilibrium carriers in the investigated detectors were determined. The results of calculating the transport characteristics of charge transfer by electrons μτe in detectors are compared with similar parameters measured using the traditional method of irradiating the detector with alpha particles. To measure the band gap in CdTe and CdZnTe at room temperature the method was modified for calculating ΔEg. The possibility of monitoring the Zn content in CdZnTe detectors using the spectral photoconductivity method is shown.
Optimization of power supply mode of single-mode laser diode by ratio of current and integral spectrum parameter
Authors: Berezovskaya N V , Bliznyuk V , Parshin V A , Tarasov A E 
Published: December 2021

Abstract
Bursting development of the technological base of semiconductor quantum electronics determined the width of the domain for use of semiconductor lasers in optical-electronic measuring systems based on the optical methods of stream research. In order to improve the accuracy of such systems, it is proposed to use a simple technique for optimizing the supply mode of a single-mode laser diode, based on an analysis of the current dependence of its integral spectral parameter. It is shown that the optimal value of the pumping current appears when the radiation spectrum envelope line tends to match the normalized Gaussian curve within the width of the spectral line.
Investigation of the phase delay of radiation by a transparent ferroelectric polymer film
Authors: Makeev M O , Osipkov A S , Batshev V I , Polschikova O V , Ryshkov N S , Kochervinskii V V , Yurkov G Yu 
Published: December 2021

Abstract
In this paper, we study samples of an optically transparent ferroelectric polymer film with deposited nanoscale electrically conductive coatings designed to modulate the transmitted electromagnetic radiation of the visible and near-infrared wavelengths. Such films can be used, for example, in interference devices for phase delay compensation or for the implementation of the Phase Shifting Interferometry, in adaptive optics, etc. To measure the phase delay of the radiation passing through the samples under study, an installation based on the Mach-Zehnder interferometer was used. In the illumination branch of the installation, a broadband radiation source and an acousto-optic tunable filter are installed; in one of the arms of the interferometer, the test sample is installed. The interference pattern was recorded on a matrix radiation receiver; the phase information was decoded by digital holography methods. The report presents the results of measurements and shows that a modulation of the passed optical radiation occurs under the influence of the electric field as a result of changes in the geometrical dimensions of the film.
Detection and study of polarized pulsed photoluminescence of diamonds for mapping of natural diamond
Authors: Krasin G K , Stsepuro N G , Kovalev M S , Danilov P A , Kudryashov S I 
Published: December 2021

Abstract
The bulk mapping of natural diamond poses problems where it is required to characterize various defects and measure their optical properties in volume. The combination of photoluminescence spectroscopy methods and methods for detecting the state of polarization in the volume will expand the functionality for mapping natural and artificial diamonds. The implemented methods will be an effective tool for the structural description of diamond optical centers.
Development of a high frequency ultrasonic setup for measuring the parameters of thin films
Authors: Martyanov P S , Zinin P V , Titov S A 
Published: December 2021

Abstract
In this report a novel method for measuring the elastic properties of thin 10 nm films is described. The method is based on the use of a nanosecond laser for generation acoustic waves in solids. Absorption of the incident laser pulse energy and the associated temperature gradients induces a rapidly changing strain field. This strain field, in turn, radiates energy as elastic (ultrasonic) waves. At low pulse power, this is an entirely thermo elastic process resulting in no damage to the sample. The acoustic echo arriving at the probed surface causes both the displacement of the surface (a few nanometres) and the strain in the subsurface material, which might be detected through the variation of the optical reflectivity of the material, i.e. through the acousto-optic effect.
Investigation of the interference pattern from a spherical particle at different viewing angles
Authors: Kuchmenko A V , Usmanova S S , Skornyakova N M , Kuchmenko V V 
Published: December 2021

Abstract
The work aim is to investigate the influence of the parameters of the laser interference method experimental setup on the obtained images. Using computer modeling based on the diffraction theory and physical experiment, the change in the parameters of the interference pattern for different viewing angles had been shown. The results can be used to develop a single algorithm for processing images of the laser interference method.
Optical system design of multispectral video camera for 8-14 microns range
Authors: Neverov S M 
Published: December 2021

Abstract
To solve the actual problem of determining the composition of a gas mixture in an uncontrolled leak at industrial sites, it is proposed to use a multispectral camera that allows you to simultaneously form several spectral images on a bolometric matrix. This method will provide visualization of the gas cloud in the far infrared range from 8 to 14 micrometers with selection by chemical composition. The article proposes an optical scheme for simultaneous registration of images in eight narrow spectral ranges of wavelengths, as well as the design of its elements for a bolometric matrix with a resolution of 640x480 pixels: a lens, a raster, and light filters using the ZEMAX application software package. As a result of the design, a low F-number three-lens optical system for a necessary field of view and a raster with a block of light filters are obtained, forming sixteen images in different spectral ranges. Thus, we solved an issue of design an optical system with minimal aberrations for a multispectral camera.
Detailed analysis of chemical corrosion of ultra-thin wires used in drift chamber detectors
Authors: Baldini A.M. , Cavoto G. , Cei F. , Chiappini M. , Chiarello G. , Chiri C. , Cocciolo G. , Corvaglia A. , Cuna F. , Francesconi M. , Galli L. , Grancagnolo F. , Grassi M. , Ishak R. , Meucci M. , Nicoló D. , Panareo M. , Papa A. , Pepino A. , Raffaelli F. , Renga F. , Ripiccini E. , Signorelli G. , Tassielli G.F. , Valentini R. , Voena C. 
Published: December 2021

Abstract
Ultra-thin metallic anode and cathode wires are frequently
employed in low-mass gaseous detectors for precision experiments,
where the amount of material crossed by charged particles must be
minimised. We present here the results of an analysis of the
mechanical stress and chemical corrosion effects observed in 40
and 50 μm diameter silver plated aluminum wires
mounted within the volume of the MEG II drift chamber, which caused
the breakage of about one hundred wires (over a total of
≈ 12000). This analysis is based on the careful inspection
of the broken wires by means of optical and electronic microscopes
and on a detailed recording of all breaking incidents. We present a
simple empirical model which relates the number of broken wires to
their exposure time to atmospheric relative humidity and to their
mechanical tension, which is necessary for mechanical stability in
the presence of electrostatic fields of several kV/cm. Finally we
discuss how wire breakages can be avoided or at least strongly
reduced by operating in controlled atmosphere during the mounting
stages of the wires within the drift chamber and by choosing a
25 % thicker wire diameter, which has very small effects on the
detector resolution and efficiency and can be obtained by using a
safer fabrication technique.