bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kepler-TESS light curve analysis of KIC 10417986 as a practical example for astronomical research in schools
Authors: Aindang A , Inkum R , Sarotsakulchai T , Surina F 
Published: January 2021

Abstract
Teachers and students in schools have been struggled to accomplish astronomical researches themselves in Thailand, but lacked off equipment and method. The aim of this paper is to provide methods to determine physical parameters of a given Kepler eclipsing binary, without any radial velocity curves, as an example for possible school projects. Unpublished light curves of KIC 10417986 from Kepler and TESS online archives were analysed simultaneously by using the Wilson & Devinney code to derived relative photometric parameters. On an assumption of the system is a contact binary system whose components are main-sequence stars, absolute dimensions including T
1 = 6751 ± 900 K, T
2 = 6804 ± 907 K, R
1 = 1.48 ± 0.05 R⨀, R
2 = 1.4 ± 0.3 R⊙, M1 = 1.64 ± 0.07 M⊙, M2 = 1.6 ± 0.4 M⨀, and L
1 ∼ L
2 ∼ 4L⨀, were determined. The semi-major axis a = 3.7 ± 0.4 R⊙ and a mass ratio q = 1.0 ± 0.2 were calculate tracing backward from the derived dimensions. We found that such a very short period (0d.073731) KIC 10417986 might not play such a good example for school project due to its very low amplitude of variation in light curves (∼0.0007 magnitude) even one may conclude it is not a variable star. However, we found the system interesting since it might have high mass transfer rate from the primary onto the secondary star.
Theoretical calculation of saturated absorption spectroscopy of atomic ytterbium beam
Authors: Jayjong N , Phoonthong P , Pruttivarasin T 
Published: January 2021

Abstract
Saturated absorption spectroscopy is a technique of measuring the transmission of a probe beam induced by a counter-propagating pump beam, which can achieve a nearly Doppler-free spectral resolution. In this study, the saturated absorption spectra of individual isotopes of ytterbium atoms are calculated using rate equations for various polarizations of the probe and pump beams under an assumption that the distribution of velocities for atoms within the atomic beam is a Maxwell-Boltzmann distribution. The fourth-order Runge-Kutta method is used for calculation of the rate equations, then the absorption coefficient in the vicinity of the atomic transitions is calculated, and the transmission of the probe beam is obtained by Beer-Lambert law. We compare the calculations with an experimental result from the literature and obt ain a good agreement.
Theoretical study of intermolecular interactions in protic ionic liquids: a single ion pair picture
Authors: Nanthanasit P , Chattrapiban N , Jitvisate M , Nimmanpipug P , Rimjaem S 
Published: January 2021

Abstract
Protic ionic liquids are made via intermolecular transfer between cation and anion. This research employs theoretical calculation to gain understanding of the intermolecular interactions at single-ion-pair level and their consequences to the macroscopic properties of the ionic liquids. The protic ionic liquids used in this study are ethylammonium nitrate (EAN), propylammonium nitrate (PAN), and butylammonium nitrate (BAN). Molecular structures of ions and ion pair of each liquid are optimized using the density functional theory. The ion pair binding energies and infrared spectra of optimized structures are investigated. Infrared spectra of separated cation and anion are compared with cation-anion ion pair to specify the vibrational band shifts due to intermolecular interactions. The infrared-spectra show the hydrogen-bond stretching modes in the far-infrared region at the wavenumber between 108-252 cm−1 and the red shifts of four vibrational bands due to intermolecular interactions between the ions. Three vibrational band shifts are mainly due to Coulomb force, and the other shift is caused by combination of intermolecular interactions. Moreover, the energy calculations show that the binding energy decreases as the alkyl chain length increases.
First-principles calculation for water purification of Pb, Sn and Zn ions adsorption on graplidiyne surface
Authors: Singsen S , Tangpakonsab P , Tussamee N , Kaewmaraya T 
Published: January 2021

Abstract
Heavy metals contaminated in water supply are of environmental concern. An efficient filter is essentially required for removing them from water before safe use. Here, first-principles calculations based on the density functional theory (DFT) have been employed to study the atomistic mechanisms of the heavy metals (i.e., Pb, Sn and Zn ions) trapped on a novel material carbon graphdiyne (GDY) surface. Fundamental properties, including the adsorption energies, preferential sites, density of states (DOS) and band structures are examined. The findings show that the adsorption energies of Pb and Sn ions are much greater than that of Zn ion. In addition, the energy gap of GDY vanishes after being adsorbed by Pb and Sn ions, whereas its semiconducting gap remains unchanged by Zn adsorption. This mean that GDY strongly attracts Pb and Sn ions by chemical bonds while it interacts weakly with Zn ions by van der Waals forces. As a result, GDY can be a promising candidate as an adsorbent material for water purification of Pb and Sn ions.
An interpretation of a simple portal dark matter model on Fermi-LAT gamma-ray excess
Authors: Klangburam Tanech , Pongkitivanichkul Chakrit 
Published: January 2021

Abstract
Dark matter is one of the main components of the universe. Due to its weak interaction with other particles, dark matter cannot be identified as a particle that we know of. We are interested in a simple particle physics scenario where dark matter is identified with the fermion in the dark sector and the standard model sector is connected to dark matter via the portal scalar field. One of the promising signals from these models are gamma-rays from dark matter annihilation processes. In 2016, the Fermi-LAT collaboration detected a gamma-ray excess signal coming from Milky Way’s galactic center which was immediately regarded as a possible candidate for the first detection of dark matter. In this project, we study an interpretation of the signal from Fermi-LAT as a dark matter annihilation from portal dark matter model. First, we calculated gamma-ray fluxes from dark matter annihilations as subsequent decays of portal scalars where the astrophysical factor is calculated from the Navarro-Frenk-White (NFW) dark matter density profile. We found that the simplest model does not fit adequately with chi-squared per degree of freedom,

χ

ν

2

∼
19.9

. We proposed that a part of the Fermi-LAT excess might come from another source of gamma-ray. The dark matter model combined with an unknown astrophysical source is then studied. The combined model is able to provide a reasonable fit

(

χ

ν

2

∼
10
)

indicating that scalar mass is 130 GeV, where dark matter mass is in the range of 150 − 350 GeV and 〈σν〉 is around 7 × 10−26 cm3/s.
Simulation of cut off characteristics of 2.45 GHz microwave inside the open-ended conductor cylindrical pipe
Authors: Rachpibul Apassara , Nisoa Mudtorlep 
Published: January 2021

Abstract
For a realtime measurement of moisture contents and temperature profiles of a sample inside a microwave oven, Sensors and open-ended pipes are equipped to the microwave system, allowing to measure those parameters from other ends of the pipes. The main role of the pipes is to reduce the microwave wave from leaking out to the environment and the interference with measuring equipment. In this research, a model of a microwave system with five installed pipes is simulated using COMSOL Multiphysics. The microwave cavity is modelled to be a cube with equal lengths of 33 cm. A pipe with diameter of 1.5 cm is installed on the top of the microwave and the other four pipes with diameter of 2.5 cm are installed at the bottom. The system is designed so that an infrared sensor can be attached to one end of the top pipe to measure temperature and a load cell is equipped under the bottom four pipes to measure the moisture content. The simulation result shows an exponential decay of electric field norm along the pipes away from the microwave chamber. For the pipes with diameters of 1.5 cm and 2.5 cm, the microwave wave is reduced to virtually zero at the distance of 3 cm and 4 cm away from the chamber, respectively.
Preliminary results from a feasibility test of mixed alpha source detection by prototype bare silicon devices
Authors: Chaiwongkhot Kullapha , Ruffolo David , Yamwong Wittawat , Prabket Jirawat , Tippawan Udomrat 
Published: January 2021

Abstract
A project on development of a satellite-borne silicon-based cosmic ray ion detector was started. Semiconductor detectors based on P-I-N junctions are widely used in space experiments due to their light weight, compact design and high stopping power. The position-sensitive parts of the detector are designed to be silicon-based detectors. A prototype silicon detector without the outermost layer of insulators was prepared. The detector is expected to have the potential to identify the elements of high energy ions using the ΔE-E technique. Thus, for the beginning step of this project, a detector response proportional to the deposited energy has to be confirmed. We set up a detection system of a mixed standard alpha source including Am-241, Pu239 and Cm-244 with our devices and a photodiode (Hamamatsu S1223 with glass removed). The detector response is indicated by the digitized signal pulse height distribution from a 2048-channel ADC. The feasibility of our devices to distinguish the difference of energy in terms of several hundred keV was confirmed. A linear relation between the pulse height peaks and the emitted energy of each radiation source was also indicated.
Uncertainty evaluation of crystallite size measurements of nanoparticle using X-Ray Diffraction analysis (XRD)
Authors: Mongkolsuttirat K , Buajarern J 
Published: January 2021

Abstract
Crystallite size is one of the critical powder characteristics to determine nano-scale properties used in many industrial applications. The crystallite size can be extracted by X-ray Diffraction (XRD) analysis since it is one of the simplest and the most convenient method among numerous characterization techniques. However, the lack of suitable uncertainty evaluation for determining crystallite size makes the measurement questionable. Therefore, this paper has presented the uncertainty evaluation for crystallite size measurement based on the method of JCGM 100:2008. The main contributions according to the Scherrer equation consist of the Scherrer constant (K), the X-ray wave length (λ), the full width of the peak at half maximum intensity (FWHM), the diffraction angle (θ), and also the resolution and repeatability effect. The measurement process, statement of the standard uncertainty of the component sources, sensitivity coefficient and the combined standard uncertainty of crystallite size measurement have been explained in detail. A numerical example presents how to estimate the uncertainty budget for the nanoparticle of TiO2 or P25 which is a commercially available powder.
Multipole resonance probe measurement in plasma
Authors: Jampaiboon N , Sirithipvanich C , Paosawatyanyong B 
Published: January 2021

Abstract
In the study of low-temperature plasma, the plasma parameters such as plasma density and plasma temperature are required. Recently, a multipole resonance probe (MRP) which utilized an active plasma resonance concept was proposed. The probe consists of two hemispheres, insulated by a thin dielectric sheet. The advantages of the probe include simple setup and localized measurements similar to those of the conventional Langmuir probe. The probe does not cause plasma contamination, one of the Langmuir probe disadvantages since the probe conductors are covered in the dielectric. However, it can only determine plasma density. The MRP is usually connected with a Network Analyzer for measuring the reflection coefficient spectrum which can be analyzed to obtain the plasma density. In this experiment, the constructed MRP is used to measure the plasma density comparing to the Langmuir probe. The results of the experiment showed that the plasma density result of the MRP gives a similar tendency as that of the Langmuir probe. However, the plasma density determined by the MRP was deviated when compared with the Langmuir probe. In order to explore the idea that MRP does not need to be constructed in hemisphere shape, MRP in different shapes have been assembled and verified.
Electric field effect on electrospun fiber alignment using a parallel electrode plate
Authors: Oncheurn Karnjana , Infahsaeng Yingyot 
Published: January 2021

Abstract
The nanofiber has been applied to various technologies such as textile technology, medical production, filtration devices or electronic devices. Nanofiber by electrospin preparation has been extensively studied. In particular, the structural properties of the fiber such as fiber diameter and alignment were mainly focused. Here, the electrospining with two parallel plate collectors was used to fabricate the PVA nanofiber. The result shown that the minimum fiber diameter was obtained when using the parallel plate gap of 2.0 cm, the plate-to-tip height of 15.0 cm and applied voltage of 15 kV. From SEM results, the average diameter of nanofibers at approximately 135.55±5.79 to 340±29.91 nm was obtained and fiber alignment was investigated. In addition, the light absorption of nanofiber in wavelength range of 300-1100 nm was investigated. Therefore, the electrospinning method with parallel plate collector can be applied for low fiber diameter and high ordering alignment, which may be applied for optoelectronic development.
Enhancing the supercapacitor performance of NiCo2O4 microflowers by reduced graphene oxide nano-sheets
Authors: Saei Worawee , Buranasiri Prathan , Karaphun Attaphol , Ruttanapun Chesta , Sriwong Chaval 
Published: January 2021

Abstract
This work presented the preparation and supercapacitor performance of a spinel nickel-cobalt oxide (NiCo2O4) microflowers mixed with nano-sized reduced graphene oxide (rGO) sheets. The hybrid material (NiCo2O4/rGO), pure NiCo2O4 and nano-sized rGO samples were characterized and confirmed by several techniques, such as XRD, SEM and EDS. The supercapacitive properties of all prepared samples were also studied using an electrochemical measurement technique (CV and GCD). The results revealed that the NiCo2O4/rGO (484.1 F.g−1) hybrid electrode exhibited much higher specific capacitance than those of pristine NiCo2O4 (358.3 F.g−1) and nano-sized rGO (113.8 F.g−1) electrodes, respectively. Hence, this work indicates that the supercapacitor performance of NiCo2O4 mixed rGO hybrid materials is more superior to the pure NiCo2O4 microflowers and nano-sized rGO sheets.
Fabrication of 3D surface-enhanced Raman scattering (SERS) substrate via solid-state dewetting of sputtered gold on fumed silica surface
Authors: Pengphorm P , Nuchuay P , Boonrod N , Boonsit S , Srisamran P , Thongrom S , Pewkum P , Kalasuwan P , van Dommelen P , Daengngam C 
Published: January 2021

Abstract
Raman spectroscopy is a potent and widespread optical analytical technique thanks to its non-invasive and high-specification for the detection of targeted molecules. However, for the case of trace detection, it is common that a weak Raman signal is easily swamped by noise and thus unable to be resolved. Here, we demonstrated a facile fabrication of a three-dimensional surface enhanced Raman spectroscopy (SERS) substrate, based on low-vacuum sputtering of gold nanofilm on hierarchically rough fumed silica monolayers deposited by layer-by-layer self-assembly technique. Due to the much lower surface energy of the silica-air heterostructure compared to metallic materials, deposited gold layers dewetted the surface spontaneously, forming nano-sized spherical gold particles without the requirement of an extra annealing process. Plasmonic effects were studied through optical absorption measurements, while the surface morphology and topography were examined using SEM and AFM for various sputtering durations. Furthermore, the enhancement of Raman spectrum was investigated for 10−4 M of methylene blue (MB), using 532 nm and 0.57 mW excitation laser. An initial Raman enhancement factor of 17 was observed at 1645 cm−1 peak, even with yet to be optimized fabrication procedures.
Quantum approximate optimization and k-means algorithms for data clustering
Authors: Saiphet Jirawat , Suwanna Sujin , Chotibut Thiparat , Chantasri Areeya 
Published: January 2021

Abstract
Noisy intermediate-scale quantum (NISQ) devices are cutting-edge technology expected to demonstrate potential and advantages of quantum computing over classical computing. Its low number of qubits and imperfection from noises restrict running full-scale quantum algorithms on such devices; however, quantum advantages can still be obtained. To achieve quantum advantages from NISQ devices, the hybrid quantum-classical algorithms were introduced. Quantum approximate optimization algorithm (QAOA) is a variational hybrid algorithm, which utilizes a NISQ device as a sub-unit for specific tasks and performs most calculations on a classical computer. QAOA provides an approximate solution, with arbitrary precision as the number of operations increases, for optimization problems. In this work we investigate the possibility of applying QAOA to a clustering problem and compare its performance with the classical k-means algorithm. It turns out that the weights in graph connectivity can degrade the algorithm operation and make it more difficult to approximate the solution. We also benchmark the QAOA by comparing the approximated solutions with the exact one obtained from a classical clustering algorithm.
Real Time Emotion Classification Based on Convolution Neural Network and Facial Feature
Authors: Nasuha A , Arifin F , Priambodo A S , Setiawan N , Ahwan N 
Published: January 2021

Abstract
Health problems due to emotion disorder should not be taken lightly because they have worse effects on health. Emotion disorder leads to prolonged stress and causes mental fatigue. Therefore, emotions need to be classified as early as possible. This classification result can be utilized to determine a person’s emotion and treatments required. In this paper, we proposed emotion classifier based on facial features. Here, we used Convolution Neural Network (CNN) to extract facial features from input images and classify them into 7 basic emotions: angry, sad, happy, neutral, fear, disgust, and surprise. Dept-wise separable convolution is applied, instead of the ordinary convolution in CNN, to reduce the number of trainable parameters so that the overall architecture of CNN can be made as simple as possible without compromising the accuracy. The simple architecture of the CNN allows us to make it work in real time. Our proposed method achieves an accuracy of 66% on 3.589 input images of FER2013 data set.
Evaluating an e-Learning Platform at Graduate School Based on User Experience Evaluation Technique
Authors: Abubakari M S , Nurkhamid  , Hungilo G 
Published: January 2021

Abstract
This study was aimed to evaluate the e-learning platform in a graduate school by using User Experience Questionnaire (UEQ). The data were collected from 65 respondents and analyzed using an excel data analysis tool. The results indicate that all six scales of the instrument are consistent except the novelty scale. Also, the calculated means of the scales are slightly positive as all values are greater than 0.8 compared to the UEQ benchmark. Although the respondents show a little positive impression with the platform, all scales means are below average category except efficiency scale which is above average as compared to the benchmark. This indicates that the platform needs more improvement in all aspects of user experience for it to be at least in a good category. The findings discussed in this paper are valuable for all academic stakeholders in various educational institutions which implement interactive e-learning systems as well as practitioners of user experience and developers of e-learning systems.
Analysis of Acceptance of Vocational High School e-Report in Temanggung District Using the UTAUT Model (Unified Theory of Acceptance and Use of Technology)
Authors: Erlita U A , Priyanto  
Published: January 2021

Abstract
This research examines the abuse of access rights of users of the VHS e-Report application which are not in accordance with the rules set by the Government. Therefore, this study aims to: (1) find the factors that affect the acceptance rate of the application of the e-Report of Vocational High Schools (VHS); and (2) find factors that do not affect the acceptance rate of implementing VHS e-Report. This research uses quantitative methods with an ex-post facto approach. This research was conducted at 4 Vocational High Schools in Temanggung Regency, namely Jumo State Vocational School, Dr Sutomo Temanggung Vocational School, Bhumi Phala Parakan Vocational School, and Vocational High School 17 Parakan. The population of all VHS was 432 respondents, while the sample is selected by proportional random sampling of 204 respondents. The data collection instrument used an online (google form) and offline (handout) questionnaire. The research questionnaire was compiled based on the UTAUT (Unified Theory of Acceptance and Use of Technology) model variables which have been adjusted to the conditions of the research field. The data analysis technique uses quantitative descriptive analysis with the PLS-SEM (Partial Least Square-Structural Equation Model) method which applies a bootstrap model to test the hypothesis. The results of this study concluded that there were: (1) factors that had a positive effect on the acceptance rate of VHS e-Report, namely business expectations, social influence, facilitation conditions, and behavioral intentions. The most influential factor was the intention to behave with the value of the path coefficients 0.412; and (2) factors that did not affect the acceptance level of the VHS e-Report application were performance expectations, age, and regulations. The least influential factor was the performance expectancy which was moderated by age with the path coefficients value of -0.188. The study on the acceptance of the VHS e-Report application in Temanggung Regency can be used as a recommendation in determining how to increase the use of the VHS e-Report application in accordance with access rights.
Predicting Potato Diseases Using Tensorflow in Mobile Apps Android
Authors: Artanto H , Arifin F 
Published: January 2021

Abstract
Detecting disease is something that can help to determine how to cure it. Potato diseases, namely early blight and late blight, are the problem in agriculture. Both diseases have almost the same characteristics so it is difficult to recognize. The technique used by farmers only utilizes their eyesight. In addition, previous studies have mostly used the biological aspect approach. In this study utilizing Machine Learning to detect an object. The development of this application uses the training configuration used is SSD Mobilenet v1. Application test results obtained an average value of 90% can detect and distinguish the types of diseases in the potato plant.