bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation and preliminary test of different absorbers for the pCT calorimeter
Authors: Buanill Y , Ritjoho N , Songmoolnak A , Ratsuntia N , Sanghangthum T , Kobdaj C 
Published: December 2023

Abstract
The proton calorimeter is a key component of proton computed tomography (pCT). It aims to measure the residual energy and momentum of protons after passing through a patient’s body. In this study, we designed the prototype of the pCT calorimeter by including six layers of the ALICE pixel detector (ALPIDE) and six layers of the absorber. The absorber materials are carbon fiber (C), copper (Cu), and aluminum (Al) with 1 mm and 2 mm thicknesses. The prototype was tested by the proton source at King Chulalongkorn Memorial Hospital (KCMH), Bangkok. The number of activated pixels and the cluster sizes in each ALPIDE sensor obtained from the pCT calorimeter is measured at different proton beam energies. Moreover, this conceptual design of the pCT calorimeter was simulated by the G4Beamline Monte Carlo programming. At a proton beam energy of 70 MeV in the pCT calorimeter, simulations indicated Cu as the most effective absorber. Experimental results largely corroborated this, with Cu followed by Al, and then C in effectiveness. Both Cu and Al were found suitable for the pCT calorimeter prototype.
Latent fingerprint detection using fluorescent powder dusting technique
Authors: Boonyaras P , Boonpang S , Dangudom K 
Published: December 2023

Abstract
This study examined the use of fluorescent powder in detecting latent fingerprints through the dusting method. Five colors of fluorescent powder (orange, green, blue, green-yellow, and red) were applied to photo papers of six colors (green, red, blue, yellow, white, and black). The fluorescence of latent fingerprints was detected using various light sources including UV LED, blue LED, green LED, red LED, warm white, and cold white. The spectra of the light source and the fluorescence intensity of the dusting powder were analyzed to determine their influence on the appearance of latent fingerprints. The fingerprint images were analyzed by counting the number of important points that are more than 7 points, which indicates visible fingerprints. The results showed that the fluorescence of the powder, background, and light source affected the appearance of the fingerprints. When the color of the fluorescent powder matched the color of the light source, the fingerprints were clearly visible. However, if the background color matched the light source, the fingerprints were not visible. When fluorescent powder was dusted on a dark or non-fluorescent background, fingerprints were visible under all light sources. This study suggests that selecting the appropriate color of fluorescent powder and background is crucial for the detection of latent fingerprints using the dusting method.
Home-made optical tweezers for biomedical applications
Authors: Ongrungrueng Thamonwan , Buathong Sitti , Fuengfung Supasilp , Deachapunya Sarayut 
Published: December 2023

Abstract
Optical tweezers has been built with confocal fluorescence microscope as based detection. Microsphere particles and 780 nm fluorescence dye molecules are used in our demonstration. With the combination between these two particles, light focusing and particle manipulation can be performed simultaneously. The experimental results show that the tweezers can trap and move particles and even rotate the clusters of dye molecules sharply. We aim to apply our tweezers to biomedical applications such biological samples in the near future.
Optimizing thickness of tin oxide electron transporting layer to reduce hysteresis in carbon-based perovskite solar cells
Authors: Kanlayapattamapong T , Thongimboon K , Pudkon W , Wongratanaphisan D , Ruankham P 
Published: December 2023

Abstract
Tin oxide (SnO2) is frequently chosen as an electron transport layer (ETL) in perovskite solar cells (PSCs) owing to its outstanding electron transport properties. Nevertheless, the thickness of the ETL significantly influences hysteresis behavior of PCSs. To address this issue, tin (II) 2-ethylhexanoate in 2-methoxyethanol (2-MOE) was employed as the precursor solution for SnO2 ETL preparation. We systematically varied its concentrations from 0.2 M to 1.0 M to optimize the film thickness. Our findings indicate that the PSC with a SnO2 film deposited from a 0.6 M precursor concentration achieved the highest power conversion efficiency (PCE) of 13.51% and the lowest hysteresis index (HI) of 0.54. Furthermore, we explored the impact of film thickness on hysteresis behaviour and provided a comprehensive analysis. Based on the experiment, it was observed that the thickness of the film has an impact on the presence of defects and interfacial charge transfer, which could contribute to the occurrence of HI. This study offers valuable insights into the development of alternative ETLs suitable for large-scale PSC production.
Laser linewidth measurement using beat-note technique
Authors: Parkprom P , Chattrapiban N , Sompet P , Thaicharoen N 
Published: December 2023

Abstract
Lasers play a crucial role in quantum and atomic physics experiments. To prepare atoms in a desired quantum state, these lasers must possess specific properties, including tunability and a narrow spectral linewidth. In this study, we construct and employ an external cavity diode laser to prepare cold rubidium atoms. We control the laser’s stability using an electronic system and evaluate its performance by measuring the spectral linewidth through the beat signal technique. The measurement indicates a linewidth narrower than 1 MHz, which makes the laser suitable for subsequent experiments. Finally, we adjust the laser frequency to match the rubidium transition frequency between states 5S
1/2, F = 2 ↔ 5P
3/2, F′ = 2, and successfully utilizing the laser to prepare cold rubidium atoms in a magneto-optical trap.
Characterization of the sensing properties of zinc oxide chitosan as an acetone sensor
Authors: Banurea Rahmadhani , Nasution Tulus Ikhsan , Nainggolan Irwana , Balyan Muhammad , Lubis Novia S 
Published: December 2023

Abstract
In this review, the characterization and detecting properties of chitosan/zinc oxide as an acetone sensor has been effectively done in view of the information of the experimental outcomes. . In this study the sensors were fabricated using electrodeposition methods where by chitosan solution concentration of 1.75 % was added with 0.1 %, 0.5 %, 1 %, and 1.5% zinc oxide. The detecting properties were done by uncovering acetone gas with grouping of 1 ppm, 5 ppm, 20 ppm 100 ppm and 200 ppm. The result shows chitosan sensing properties improved with the addition of zinc oxide. The highest response was exhibited from 0.5% zinc oxide when exposed with 100 ppm acetone while the lowest response generated from chitosan 1.75% for 1 ppm. This result attributed to the SEM characterization result of chitosan and chitosan/zinc oxide and bigger pores. Thusly, the expansion of zinc oxide further developed the detecting properties of chitosan as acetone sensor.
Preparation and Characterization of E-PANI-HCL and E-PANI-p-toluensulfonic Acid Indicator Electrodes, SEM-EDX XRD and FTIR Analysis
Authors: Abd Hakim S , Ginting Eva Marlina , Rais Abdul 
Published: December 2023

Abstract
This research aims to create and characterize the E-PANI indicator electrode membrane using SEM-EDX, XRD and FTIR analysis. PANI conductive polymer is better than PPy conductive polymer, o-NPOE variations are 61% and 66% more flexible in PVC-KTpClPB, as well as variations of one/three drops of 0.5 mL U4002 enzyme in PVA, glutaraldehyde (GA 2.9%). The working method of the potentiometric biosensor used is immobilization of the U4002 enzyme so that the analyte is urea. The multi membrane indicator electrode is E-PANI compared to E-PPy. The membrane consists of four layers, each coated only once on each indicator electrode. The E-PANI membrane analyzed by XRD produces a spectrum pattern with an intensity of 4400.0 (a.u) around 28.64 degrees, similarly E-PPy produces a spectrum pattern with an intensity of 224 (a.u) around 44.54 degrees. FTIR analysis shows an increase in % Transmittance by the indicator electrode using the PANI-HCl conducting polymer instead of PPy-H2SO4. Based on SEM-EDX, XRD and FTIR analysis, the best conductive polymer is PANI-HCl-6 M compared to PPy-H2SO4-8 M
Estimating Spatiotemporal Aerosol Index between MODIS and Sentinel 5 in Medan City
Authors: Tampubolon T , Yanti J , Tampubolon F R 
Published: December 2023

Abstract
In this paper, long-term variability and spatially contiguous aerosols were primarily responsible for air pollution in Medan, Indonesia. Medan air quality is become more threatening in the last few years. Estimating the most polluted and vulnerable to climate change, ambient aerosol, can control the adverse effects of poor air quality and negative impact on human health (e.g., asthma). This study estimates algorithmic and analytical approaches that compared Aerosol Optical Depth (AOD) data from MODIS (Moderate-Resolution Imaging Spectroradiometer) in a series of MCD19A2 at 0.55 microns and Absorbing Aerosol Index (AAI) from Sentinel-5P in variations of 0.34 microns and 0.380 microns wavelengths. High-temporal-resolution imagery is projected based on wavelength-dependent changes in light interacting with aerosol particles in the atmosphere from 2020 to 2023. Results of the comparison between the different aerosol index products are derived from growth values in 58.81 percent of AOD in the area over Medan city, indicating a relatively hazy atmosphere or heavy pollution in 2023, exceeding the aerosol index total value increase of 45.24 percent of AAI amount during 2020 until 2023. Overall, highlights of aerosol estimation indicate that the seasonal and location-specific would exacerbate serious problems over Medan.
Temperature-dependence on thermal electric conductivity in FeCl2 monolayer with biaxial strain
Authors: Prayitno T B , Sarwono Y P , Budi E , Abdillah M A , Kartika M C 
Published: December 2023

Abstract
The dependence of thermal electric conductivity on temperature in a 1T-FeCl2 monolayer has been explored using the semi-classical Boltzmann transport theory. We provided the temperatures from near critical temperature up to room temperature. We observed different tendencies of thermal electric conductivity based on the existence of magnetism due to working temperature. As we applied the biaxial strain, we obtained the same contribution from both the magnetic and non-magnetic states to the thermal electric conductivity. We also found that the highest thermal electric conductivity may be shifted by employing low concentrations of doping.
Concentration dependence of visible luminescence from Pr3+-doped niobium zinc barium boro-tellurite glasses
Authors: Thanyaphirak W. , Yasaka P. , Sa-ardsin W. , Kaewkhao J. 
Published: December 2023

Abstract
This study explored the luminescence properties of a glass with the compositions defined in the formula (30-x)TeO2-30B2O3-10ZnO-20BaO-10Nb2O5, doped with varying concentrations of praseodymium (Pr3+) ions (x = 0.00 to 1.50 mol%). The investigation covers multiple aspects, including the physical, structural, optical, and luminescence properties, to explain the material’s behaviour with respect to its physical attributes. The measured density, molar volume, and refractive index span a range of 3.76-3.86 g/cm3, 35-36 cm3/mol, and 1.71-1.79, respectively. Structural analysis through FTIR spectroscopy demonstrates characteristic stretching vibrations of Te-O (677 cm−1) and B-O (892 cm−1) bonds, providing insight into the molecular arrangement within the glass composition. The optical investigation on transitions from the ground state 3H4 to higher-energy states: 1D2 (590 nm), 1G4 (1008 nm), 3F3 (1529 nm), and 3F2 (1932 nm). These emission peaks furnish crucial information on the material’s electron transitions, which are suitable for curtain potential applications in optical devices. Significantly, our study reveals a quenching effect at a Pr3+ doping concentration of 0.10 mol%, indicating interactions between Pr3+ ions and the glass matrix, affecting luminescence behaviour. This work contributes to an enhanced understanding of material properties and lays the groundwork for potential applications in luminescence and optical technologies.
Microkinetic Modeling of CO2 Hydrogenation to Formic Acid on Transition Metal Doped Ni(111) Surface
Authors: Putra Sukanli Reza Pamungkas , Irwansyah  , Anatasya Amanda , Rizki Srie Rejeki Eggie , Fathurrahman Fadjar , Haris Mahyuddin Muhammad , Gandaryus Saputro Adhitya 
Published: December 2023

Abstract
The direct conversion of carbon dioxide (CO2) into valuable chemicals plays a crucial role in mitigating climate change and fostering a sustainable future. To facilitate this process, identifying an effective catalyst is of utmost importance. This study focuses on investigating the potential of nickel-based surfaces as catalysts for the direct hydrogenation of CO2 into formic acid (HCOOH), a valuable chemical with applications as a fuel and hydrogen storage. Several nickel surface models were considered, including pristine Ni(111) and Ni(111) surfaces doped with Cu, Pd, Pt, and Rh metals. Through a microkinetic investigation, we examined the reaction kinetics and determined the rate-determining steps on the Ni(111) surfaces. By elucidating the reaction pathways and characterizing the reaction intermediates, we gained comprehensive insights into the fundamental processes involved in CO2 hydrogenation to HCOOH. This knowledge is crucial for the rational design and optimization of catalysts, enabling the development of highly active catalysts for CO2 conversion. Our study revealed insights into the effect of transition metal doping on the catalytic activity of Ni(111) surfaces. Among the investigated dopants, we found that the addition of Pt in the first layer of Ni(111) surface yielded the best turnover frequency (TOF) for the CO2 conversion to HCOOH. The Pt dopants induced unique electronic properties in the Ni(111) surface, resulting in a reduced activation barrier for key reaction intermediates. This effect contributed to a more efficient conversion of CO2 to HCOOH.
Activated Carbon Nanocomposite for Supercapacitor Electrodes
Authors: Rosi Memoria , Hendra Siburian Dedy , Wahyudhin Fathona Indra , Ismardi Abrar 
Published: December 2023

Abstract
Activated carbon (AC) with high surface area has been used in supercapacitors extensively, but it has limited capacitance value due to the low electrical conductivity. In this study, we concern to find the best conductive agent by incorporate different conductive agent such as carbon black (CB), carbon nanotubes (CNT), and reduced graphene oxide (RGO). As a result, the AC/CB possess the highest specific capacitance of 62 F/g and excellent ESR of 2.40 . This might due to the excellent connectivity of AC and CB particle as seen from SEM image. On contrary, CNT and RGO have agglomeration that impact on resistance and capacitance.
Evaluation of Optical Characteristic of Animal Fat using Au Nanoparticle in Bamboo-derived Nanocellulose Paper Substrate: A Comparative Study
Authors: Rahmah Fitri , Sagung Pretty Tunjung Dewantari A A , Rumapar Arini E , Hatta Agus M , Oh Kyunghwan , Wahyuono Ruri A 
Published: December 2023

Abstract
Detection of animal fat content is necessary to prevent inappropriate product composition labelling measures such as substituting beef with pork or adding lard to other fat-processed products. In this paper, a detection method of animal fat utilizing paper-based biosensors using nano cellulose paper substrate is proposed. The nanocellulose paper substrate was fabricated using bamboo fibre and parenchyma cells. The nanocellulose paper substrate was further decorated with Au nanoparticles to improve the detection’s sensitivity. It demonstrated the measurement of optical properties using UV-vis spectroscopy for several animal fats. It also presented a colorimetric detection using a light source, photodetector, and imaging analysis. It was shown the difference in the color space intensity value before and after the addition of lard samples on AuNP-modified nanocellulose paper. It was reported that the difference in grayscale intensity value of AuNP-modified nanocellulose paper with a reducing agent volume of 3 mL and 4 mL were 37.369 and 55.686, respectively. This demonstrated that the larger the volume of reducing agent added during synthesis, the smaller the size of the nanoparticles and increasing the sensitivity of the sensor. The proposed paper-based biosensor offered a simple fabrication, biodegradable, and can be implemented in a colorimetric imaging system.
Characterization of EEG-P300 Signals in Drug Users
Authors: Dayanti N , Kusumandari D E , Kusumaningrum H B D , Alexandra T C 
Published: December 2023

Abstract
The use of drugs for a long time can cause changes in the structure of the brain’s performance. Drug detection is usually done using laboratory testing methods such as urine, blood, and saliva tests. With the development of technology, changes in brain activity can be presented in the form of EEG signals. This study aims to locate the features of the P300 signal and the more effective stimulus to generate the P300 signal. The EEG input data uses secondary data consisting of 40 male participants with an age range of 25–40 years. The data collection process contains a stimulus to generate a P300 signal and record for 50 seconds using 19 channels and a 10-20 system. The results of the study show that the P300 signal features can affect the formation of amplitude and latency. The more effective stimulus in generating the P300 signal for drug users is a similar stimulus shabu with an amplitude value of 18,3 μV and a fast response latency of 252,9 ms.
FDTD Simulation to Investigate the Effect of Nanopattern on Light Extraction Distribution of ZnS:Cu LED
Authors: Ibrahim Fathi , Rastri Adhika Damar , Ghifari Nurlis Aulia , Pradana Arfat 
Published: December 2023

Abstract
Light Emitting Diode (LED) technology is very common in everyday life. Due to the large refractive index difference between LED material and air, many excited photons from the active layer cannot be passed on to the air, thereby Total Internal Reflection (TIR) will occur and reducing the Light Extraction Efficiency (LEE) of LED. The use of nanopatterns on the LED surface can help trapped photons to get out of the LED by changing the direction and angle of photons’ propagation. Because the shape of the nanopattern will affect the increase in the LEE of LEDs and its fabrication is expensive, simulations are needed to design and study the effect of the shape and size of the nanopattern on the LEE of LEDs. In this study, FDTD simulations will be carried out on nano-sized grating patterns on the ZnS:Cu LED surface and then compared with experimental results to see the accuracy of the simulation results using Ansys Lumerical FDTD. The simulation results obtained in light emission distribution are consistent with the real measurement results. The simulation results are also used to evaluate the performance of the LEDs with and without the nanopattern on the surface.
Design and Development of IoT-based Temperature and Humidity Monitoring System for Thermal Comfort Evaluation in Classrooms
Authors: Rahmadani D P P , Pradharona Q I , Kirom M R , Suhendi A , Ajiwiguna T A 
Published: December 2023

Abstract
In the learning process in the classroom thermal comfort greatly affects the attitude and performance of students who are doing learning. However, in fact, when students are carrying out the learning process experience some obstacles that make them not feel comfortable in the classroom such as feeling the room temperature is too hot or the room temperature is too cold. Indonesian National Standard sets the air temperature for thermal comfort of the tropics which can be divided into (1) Cool comfort, between the effective temperature of 20.5 ° C - 22.8 ° C, (2) Optimal comfort, between the effective temperature of 22.8° C - 25.8 ° C, (3). Comfortably warm, between an effective temperature of 25.8°C - 27.1°C. While the relative air humidity that is comfortable for humans ranges from 30%60%. The purpose of the temperature and humidity monitoring system is to monitor temperature and humidity conditions that can be used to determine whether the room is in a comfortable condition or not. In this study, the reference used is the 2001 Indonesian National Standard on Procedures for Designing Ventilation and Air Conditioning Systems in Buildings.
Hydrogen Production using Aluminum-Water Reaction and Electrolysis with Ultrasonic Wave Agitation
Authors: Risanti D D , Taufiqulkhakim M , Fadhilah N , Arifianto D 
Published: December 2023

Abstract
The utilization of hydrogen as a clean fuel technology holds great promise in reducing carbon emissions and advancing towards a sustainable energy future. In this study, ultrasonic waves were used in aluminum-water reaction to increase hydrogen production. The aluminum-water reaction was carried out at five NaOH concentrations, namely 0.3M, 0.5M, 0.75M, 1M, and 2M. The aluminum used is aluminum scrap. The hydrogen production rate is significantly increased due to the ultrasonic agitation of 48 kHz in the water-aluminum reaction. Ultrasound produces reaction residue particles that are more porous, according to SEM images. A more pronounced boehmite (AlOOH) phase rather than bayerite (Al(OH)3) phase is observed from the reaction product according to XRD and FTIR characterizations. This shows that ultrasonic agitation speeds up the reaction so that the water temperature rises more than it would have otherwise. However, in electrolysis, this impact is less pronounced because ultrasound can only lower the overpotential value and little improvement is shown in the rate at which hydrogen is produced.
Investigation of Best QSPR-Based Machine Learning Model to Predict Corrosion Inhibition Performance of Pyridine-Quinoline Compounds
Authors: Akrom Muhamad , Sutojo Totok , Pertiwi Ayu , Rustad Supriadi , Kresno Dipojono Hermawan 
Published: December 2023

Abstract
Corrosion is a major concern for the industrial and academic sectors because it causes significant losses in many fields. Currently, there is a great deal of interest in the topic of material damage control using organic chemicals. Pyridine and quinoline are potential corrosion inhibitors because they are non-toxic, inexpensive, and efficient in various corrosive conditions. Experimental studies in searching for candidate corrosion inhibitor candidates require a lot of time, cost, and labor intensive. Using a machine learning (ML) strategy based on a quantitative structure-property relationship (QSPR) model, we evaluate gradient boosting regressor (GBR), support vector regression (SVR), and k-nearest neighbor (KNN) algorithms as predictive models to investigate corrosion inhibition efficiency (CIE) of pyridine-quinoline compounds in this study. We found that the GBR model, when compared with the SVR and KNN models as well as models from the literature for the pyridine-quinoline compound dataset, has the best predictive performance based on the metric coefficient of determination (R2) and root mean square error (RMSE). Overall, our study provides a new perspective on how the ML model can estimate the effectiveness of corrosion prevention on iron surfaces by organic inhibitor compounds.