bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transmission spectroscopy analyses of Jovian planets with Hubble Space Telescope
Authors: Padjaroen T , Awiphan S , Komonjinda S 
Published: December 2023

Abstract
Studying the chemical compositions of exoplanetary atmospheres provides valuable information about the conditions and characteristics of those atmospheres, which could help search for signs of extraterrestrial life. To date, over 3,000 exoplanets have been discovered using the transit method. The transmission spectroscopy technique, which studies exoplanetary atmospheres during their transits, is widely used to study the atmosphere of transiting exoplanets. Wide Field Camera 3 (WFC3), an instrument on the Hubble Space Telescope (HST), use the transmission spectroscopy technique by observing the spectrum of light curves of transiting exoplanets in optical and infrared wavelengths, which could reveal some molecular absorption in the exoplanetary atmosphere. In this work, we study the atmospheres of 20 transiting exoplanets that are Jovian planets. Light curves of these exoplanets observed by the WFC3 are used to analyze their physical properties using the Iraclis package and transit depth using the TransitFit package, a python exoplanetary fitting package based on nested sampling algorithms. Our physical parameters from TransitFit are approximately the same as those in previous literature. Finally, TauREx 3, a fully Bayesian spectral retrieval code, analyzes the transit depth per wavelength channel and reveals atmospheric compositions of these exoplanetary atmospheres. One notable finding from our analysis is the detection of

5

−
3

+
8

%

H2O abundance in the atmosphere of WASP-63 b.
The first dark sky map of Chiang Rai : three decades of change affecting Astro-tourism
Authors: Changruenngam T , Deetha D , Sukkai C , Youyuenyong P , Sarotsakulchai N , Surina F 
Published: December 2023

Abstract
We present the first Chiang Rai dark sky map, measurements of the calibrated zenith artificial night sky brightness at sea level, which covers data since 1992–2021. The Data were collected from two US satellites including the Defense Meteorological Satellite Program with the Operational Line Scan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (NPP-VIIRS). Images containing ratios of artificial light to natural light were originally excluded from sunlight, solar glare, moon light, lunar illuminance, lightning features from the aurora, clouds, fires and background noise. Based on the correlation between data from the overlapped year 2013, the result showed the great matching relationship between DMSP-OLS and NPP-VIIRS data (R2 = 0.92) which revealed the mathematical model was feasible and reliable. The number of dark sky areas over Chiang Rai in the past 3 decades was classified in 8 classes based on the sky brightness in Bortle scale colour code and in magnitude : 1. Excellent dark sky sites (>21.9 mag, black), 2. Dark sky (21.9-21.5 mag, grey), 3. Rural sky (21.5-21.3 mag, blue), 4. Suburban/Rural transition sky (21.3-20.1 mag, green), 5. Suburban sky (20.1-19.1 mag, yellow), 6. Bright suburban sky (19.1-19.5 mag, orange), 7. City/suburban transition sky (19.5-18.0 mag, red)and 8. City sky (<18.0 mag, white). It was found that 14% of area in Chiang Rai are covering by the bright sky with Bortle class 7 and 8. Within this only 14% of area dwell more than 33% of population that have now already lost naked eye visibility of the Milky Way. In addition, a risk assessment model for dark sky conservation revealed that dark sky area are dramatically becoming extinction. It was suggested that Chiang Rai will not have an area suitable for stargazing by 2040 if there is no designated area for conservation. Our map could ultimately encourage land owners of such dark sky sites to register their properties in the IAU dark sky reserve database to elevate Astro-tourism in Chiang Rai.
Searching for exotic particles in 4 bottom quarks-antiquarks final states with machine learning techniques at the LHC
Authors: Chokeprasert Punnawich , Asawatangtrakuldee Chayanit 
Published: December 2023

Abstract
The standard model (SM) has been a highly successful theory in explaining fundamental particles and their interactions among themselves. However, the SM has not yet explained several phenomena, and many beyond the standard model (BSM) have been introduced to solve these unexplained phenomena. One example is the bulk Randall-Sundrum (RS) model, which proposed a new higher dimensional mechanism for solving the hierarchy problem and predicted the existence of a hypothetical particle, bulk graviton. In this study, we investigate supervised machine learning methods to search for the bulk graviton decays into a pair of the SM Higgs bosons, and each Higgs boson decays into a pair of bottom anti-bottom quarks (

G

KK

*

→
hh
→
b

b

¯

b

b

¯

). We train machine learning models to classify events between

G

KK

*

→
hh
→
b

b

¯

b

b

¯

(signal) and QCD 4b multi-jet (background) processes. The evaluation metrics are calculated in the highest score to compare the classification efficiency between Adaptive Boosting and Neural Networks algorithms after performing feature importance and hyperparameter tuning techniques to optimize the models. The results show that the Neural Networks better classify our signal versus background events with the AUC score of 0.9836, compared to the Adaptive Boosting model of 0.9741. Furthermore, the signal significance is also predicted and scaled to the integrated luminosities of Run 2, Run 3 and HL-LHC, data-taking periods of the LHC. The predictions are obtained at 1.952, 2.858 and 9.037 for the Neural Networks and at 1.968, 2.881 and 9.111 for the Adaptive Boosting.
An attempt to use convolutional neural network to recover layered-earth structure from electrical resistivity tomography survey
Authors: Phueakim K , Amatyakul P , Vachiratienchai C 
Published: December 2023

Abstract
The Electrical Resistivity Tomography (ERT) method is a geophysical prospecting technique for determining subsurface structure in terms of electrical resistivity distribution. Direct current is injected into the ground through a pair of electrodes, and the potential difference is measured using another pair of electrodes. The estimated resistivity model of the subsurface is then obtained using a mathematical optimization algorithm called the inversion algorithm, which incorporates multiple measured potential differences from different electrode configurations as the input data. The inverted resistivity model serves as a resource for the interpretation process of the survey. Specialists employ the model and the prior geological information in the area to extract the subsurface geological structure under the data measurement profile. The inverted model can be treated as a two-dimensional image in which each element represents resistivity. The image can be visualized as a blurred or distorted version of the actual resistivity image of the subsurface. We, therefore, developed a post-inversion image enhancement code using a neural network aiming to recover the true subsurface model with predetermined features. We employed the convolutional neural network (CNN) that uses the inverted models as input and returns an enhanced model as output. We tested our developed neural network with a case study that utilized the proposed method to recover the layered earth structure which is often found in real surveys. The electrode spacing was 5 meters in the Schlumberger array configuration. The true subsurface resistivity models of training data and validating data for evaluating the neural network were randomly generated based on the predetermined feature of the layered structure. We then generated their respective inverted models from those data through simulated inversion routine. As a result, 94.75% of the enhanced models in the validation dataset exhibited a lower loss metric compared to the original inverted models in the same validation dataset. We also applied the proposed method to practical field data to recover the subsurface layers and compared them with stratigraphic information from a borehole in each area. The result showed that the proposed method gives well-resolved structures in the enhancement process after the typical inversion.
Effect of solvent annealing in the growth of MAPbI3 for perovskite solar cells
Authors: Phiromruk P , Chartraphorn S 
Published: December 2023

Abstract
Perovskite solar cell (PSC) is recognized as one of the most promising solar cells because of a drastic enhancement in photovoltaic performance. Numerous studies showed that grain size in a perovskite layer plays a vital role in determining the PSC performance. It is expected that the large-sized grains are beneficial for PSCs due to less grain boundaries and reduced non-radiative recombination losses. The perovskite grains can be enlarged by many methods including solvent annealing approach in which an as-prepared perovskite film is annealed under dimethylformamide (DMF) vapor environment. In this work, the effect of the amount of DMF and annealing time on the surface morphology and photovoltaic parameters of PSCs were investigated and compared to the pristine devices. It was found from the inspection with FESEM images that perovskite grains were significantly enlarged as DMF was introduced. As a result, the overall photovoltaic parameters of DMF-based devices are superior to that of the pristine devices. The best device obtained using two rounds of 50 µL DMF for 15 minutes annealing shows maximum power conversion efficiency of 18.0% compared to 15.3% of the pristine devices.
Synthesis and characterization of TiO2-graphene heterostructured quantum dots by electrochemical process
Authors: Thanasanvorakun Siripatsorn , Sintiam Thanakrit , Choopun Supab , Phadungdhitidhada Surachet , Sucharitakul Sukrit 
Published: December 2023

Abstract
Titanium dioxide (TiO2) is a trendily attractive semiconductor owing to its optical and electrical properties within the UV-visible range. Nevertheless, limitations such as instability in the UV range and rapid recombination of photogenerated charge carriers leading to poor efficiency in photoactivity are major limiting factors that hold back the application of the materials on large scale. In order to tackle the stated issues, graphene quantum dots (GQDs), with their high carrier conductivity, UV-stability and thermal conductivity, can be used to improve TiO2’s flaws as optoelectronic materials. As a suitable edge transporter and modifier, GQDs can be grown as heterostructure well-bonded with TiO2 quantum dots. This material modification can lead to combined benefits of using TiO2 QDs’ preferable optoelectronic properties in UV-visible range and GQDs’ high conductivity and stability. This allows the synthesis of heterostructured quantum dots that can be tailored towards wide range of applications such as electron transport layer materials in perovskite solar cells or highly stable colloidal-based photocatalysts. In this study, TiO2/GQDs nanocomposites were synthesized using a solution-based electrochemical process with citric acid and potassium chloride (KCl) acting as electrolytes. Our proposed recipe yielded heterostructured QDs with average size of 3.44 nm well below the exciton Bohr radius of both TiO2 and graphene and hydrodynamic sizes around 45-59 nm with zeta potential in range of -24 to 30 mV. This yielded colloidal solution with stability and surface ion tunability based on KCl concentration with 0.3 M being the most stable recipe. Additionally, absorption band edge can also be tuned within the range of 2.8-3.9 eV which can be adjusted with concentration of KCl based on the desired applications.
Quantum transport in double tilted Dirac cone junction
Authors: Sukprasert Nawapan , Saipaopan Chaiyawan , Choopan Wachiraporn , Liewrian Watchara 
Published: December 2023

Abstract
We investigate quantum transport in tilt-inhomogeneous Dirac cone system, which partially mimic the behaviours of a double-pseudomagnetic-barrier structure. Exploring the effects of Dirac cone tilt helps us understand electron transmission probabilities through the barriers. Our results demonstrate significant enhancement of tunnelling transport properties by adjusting barrier parameters and the Dirac cone’s tilt angle. This study has important implications for optimizing resonant-tunnelling quantum devices based on the heterostructure, paving the way for novel quantum device development.
Development and evaluation of boron carbide-modified unsaturated polyester resin for use as neutron radiation Protection
Authors: Kaewsrithong Kanisorn , Suriwong Tawat , Julphunthong Phongthorn , Torkittikul Pincha , Disuea Panisara , Nochaiya Thanongsak 
Published: December 2023

Abstract
Neutrons are electrically neutral particles that can penetrate through various materials and interact with atomic nuclei. Neutrons can emit radiation with varying degrees of energy, which can be harmful to both living organisms and the environment. The objective of this study is to evaluate the thermal neutron (0.025 eV) shielding properties of unsaturated polyester resin with boron carbide content ranging from 0 to 20 wt% for use as neutron shielding materials. The FLUKA Monte Carlo simulation was utilized to evaluate the interactions between thermal neutrons and materials with a thickness of 5 cm. The total cross-section, mean free path, and half-value thickness were calculated to assess the shielding properties of materials. The results indicated that as the boron carbide content increased, the total cross-section increased while the mean free path and half-value thickness decreased. In addition, the polyester resin with 20 wt% of boron carbide exhibited the best properties for shielding thermal neutrons. Thus, this study suggests that unsaturated polyester resin containing boron carbide can be used as an effective material for shielding thermal neutrons.
Graphene quantum dots based fluorescent biosensor for nitrogen detection of urea fertilizer
Authors: Rodkate N , Suwanwong S , Srisawat K , Timsorn K 
Published: December 2023

Abstract
A simple and fast fabrication of fluorescent biosensor based on graphene quantum dots (GQDs) for agricultural application is presented. Graphene oxide was used as a starting material for GQDs synthesis by hydrothermal method. Optical properties and morphology of the synthesized GQDs were characterized by UV-Vis, photoluminescence (PL) spectroscopy and transmission electron microscopy (TEM). The results showed that the synthesized GQDs exhibited spherical shape with their average diameter of 5.70 nm. The UV-Vis and PL spectra showed typical adsorption peak and maximum emission peak of the synthesized GQDs at 330 nm and 472 nm, respectively. To study sensing performance of fluorescent biosensor for nitrogen detection, aqueous solution of GQDs was mixed with different concentrations of nitrogen solution. According to PL spectra result, it is found that PL intensity of GQDs solution significantly increased corresponding to higher concentrations of nitrogen solution. This result suggests that fluorescent biosensor based on GQDs may be an alternative technique for primary nutrient detection in soils.
Spectroscopic FTIR study for pathway of ribose formation via formose reaction in Astrochemistry
Authors: Homnan S , Chimupala Y , Jaikla W , Jitevisate M , Nimmanpipug P , Suwannajak C , Wongkummoon P , Rimjaem S 
Published: December 2023

Abstract
Ribose is one of the crucial molecular species in the study of the origin of life as it is the backbone of ribonucleic acid (RNA). On the early Earth, sugars including ribose are thought to be formed through formose reaction. Ribose and other organic molecules were also found in meteorites, signifying their existence in interstellar space, providing them with the essential components for prebiotic chemistry. The formose reaction can produce a mixture of simple sugars from formaldehyde molecules. In our study, we successfully synthesized sugars using the formose reaction under both thermal conditions and microwave irradiation. Notably, sugars were obtained within a remarkably short duration of 1 minute under microwave irradiation. The identification and characterization of the synthesized products were achieved through Fourier transform infrared (FTIR) spectroscopy and Fehling’s test, confirming the successful synthesis of sugars and the presence of aldehyde and alcohol functional groups. In addition, we propose an alternative pathway for sugar synthesis, which holds promise for further exploring the formose reaction in astrochemical experiments.
A development of a calibration method for field pyranometers using satellite image data
Authors: Tohsing K , Pattarapanittchai S , Janjai S 
Published: December 2023

Abstract
In this work, a calibration method for deriving a sensitivity of field pyranometers using Himawari satellite image data was developed. The purposed method representing a relation between 10–bit digital counts ranging between 0–1023 from satellite data and global solar irradiance of a standard pyranometer measured at Nakhon Pathom (13.82 °N, 100.04 °E) was investigated and it was found to be an exponential relation. Afterward, this model was applied to estimate the sensitivity of field pyranometers installed at three meteorological monitoring stations located in the main regions of Thailand namely, Chaing Mai in the North (18.78 °N, 98.98 °E), Ubon Ratchathani in the Northeast (15.52 °N, 104.87 °E) and Songkhla in the South (7.20 °N, 100.60 °E) for the validation. The results showed that the sensitivity of field pyranometers derived from satellite data and that obtained from the standard outdoor calibration method of ISO9847 was in a very good agreement with a discrepancy between both datasets of about 1%.
Utilization Of Pahae Natural Zeolite In The Production Of Polymer Concrete Using Corn Shell Fiber And Polyurethane Resin As Adhesive
Authors: Maghfirah Awan , Zega Adelina Febriyanti , Sudiati  , Sinuhaji Perdinan , Nabilla Tyra , Utari Gita Triani 
Published: December 2023

Abstract
Research has been carried out on polymer concrete with Pahae natural zeolite aggregate and corn husk fibers and polyurethane resin fibers as adhesives using a hot press at 170 ° for 30 minutes, which aims to determine the optimum composition in the manufacture of polymer concrete, namely the ratio of sand: zeolite: shell fiber corn with composition (60:25:0), (60:23:2), (60:21:4), (60:19:6), (60:17:8), (60:15:10) in units of weight with variations in the addition of 15% polyurethane resin, composition (60:20:0), (60:18:2), (60:16:4), (60:14:6), (60:12: 8), (60:10:10) in units of % by weight with variations in the addition of 20% polyurethane resin and compositions (60:15:0), (60:13:2), (60:11:4), (60: 9:6), (60:7:8), (60:5:10) in units of % by weight with variations in the addition of 25% polyurethane resin. The test results showed that the optimum mechanical properties in the compressive strength test were 21,574 MPa, flexural strength was 48,249 MPa, and tensile strength was 660,657 MPa. As well as the results of elemental and morphological analysis showing the pores developed, polyurethane’s dispersion, and the elements loaded in the polymer concrete samples.
Novel bio-waste of Cinnamomum Verum leaves-derived carbon coin cylinder-like as sustainable electrode material for symmetrical supercapacitor
Authors: Taer Erman , Yanti Novi , Apriwandi Apriwandi , Taslim Rika 
Published: December 2023

Abstract
Carbon material sourced from bio-organic waste is a promising electrode material exploration for the development of sustainable supercapacitor devices. Interestingly, their relatively environmentally benign sources and unlimited availability are the right choices to be developed as energy conversion systems and energy storage applications. Here, a novel high-potential bio-waste has been studied as a carbon source for electrode materials for symmetrical supercapacitor applications. Biomass materials were selected from Cinnamomum Verum leaves waste which was given a series of measurable and systematically structured treatments. Carbon precursor was synthesized with a simple strategy through a one/two-step activation ratio in an integrated pyrolysis system. Their chemical impregnation focused on H3PO4, ZnCl2, and H3PO4+ZnCl2 solutions. The renewal of the study was also highlighted in the design of a solid coin-like carbon cylinder material without additive binder. The solid carbon material that has been obtained has been evaluated for all dimensions including mass, thickness, diameter, and volume. In addition, the density of the coins that have been generated through density calculations is also reviewed. The density of the coin’s carbon shows a value of 0.98 g cm−3 with an average standard deviation of 0.08. The electrochemical properties of carbon electrode materials were studied through cyclic voltammetry (CV) and galvanostatic charge-discharge (GCD) analysis. In the two-system configuration, the optimized electrode exhibits a specific capacitance of 162.83 F g−1 at 1 A g−1 and 101 F g−1 at 10 A g−1. Furthermore, their performance is relatively high at a coulombic efficiency of around 76.23% with a capability rate of 63.11%. Moreover, the resulting energy density is 17.18 Wh kg−1 at a maximum power density of 125 W kg−1. Therefore, this study offers a new strategy to obtain carbon solid coin-like from bio-organic sources of Cinnamon Verum leaves as a high-quality electrode material to improve the performance of symmetric energy storage devices.
Identified potential of mangosteen peel agricultural waste as electrodes component of a supercapacitor: a study of electrochemical behaviour
Authors: Taer E , Nasution W M , Apriwandi A , Ginting R T , Taslim R 
Published: December 2023

Abstract
Renewable porous carbon from lignocellulose material as the basic material for supercapacitors is of great interest to researchers because of its high application potential while solving environmental problems. Biomass-based lignocellulose components are the main choice because of the extraordinary impact on the carbon structure they get. Here, the identification of the potential of lignocellulose biomass from mangosteen cultivars as source material for electrode materials for supercapacitors has been studied on their electrochemical behaviour. The electro-physico-chemical features are reviewed in detail through cyclic voltammetry (CV) and galvanostatic charge-discharge (GCD) analysis at different ranges of scan rates and current densities. The obtained electrode was prepared by adding 10% polyvinyl alcohol binder to 0.7 gr carbon powder. The supercapacitor cell design is prepared in a symmetrical shape bounded by an organic separator. In general, the electrochemical properties of the electrode materials that have been obtained confirm the normal electrical double-layer capacitor features with an indication of the presence of apparent capacitance. The highest specific capacitance was 153.31 at 1 A g−1. Furthermore, the energy output was recorded of 1.67 Wh kg−1. These results confirm that an electrochemical study of mangosteen peel-based carbon materials has been successfully carried out for supercapacitor energy storage applications.