bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Chronotypes and their Relationship with Academic Performance and Quality of Life in University Students
Authors: Arastoo Haleh Sadat , Ghalehbandi Mir Farhad , Alavi Kaveh , Kashaninasab Fatemeh , Nojomi Marzieh 
Published: April 2024

Abstract
Objective An individual's chronotype affects circadian characteristics associated with bedtime, waking, and other daily activities. It is known that academic achievement is strongly dependent on personality traits. The present study aimed to investigate the relationship regarding chronotype, quality of life, and academic performance of university students by comparing three educational fields: medicine, technology, and art.
Materials and Methods The present cross-sectional study was conducted with 400 medicine, technology, and art students enrolled at universities in Tehran between2018 and 2019, with convenience sampling from January 2020 to January 2021. The students filled out online questionnaires, including a demographics questionnaire, a quality of life assessment questionnaire (the World Health Organization Quality of Life: Brief Version, WHOQOL-BREF), the Morningness-Eveningness Questionnaire (MEQ), the Pittsburgh Sleep Quality Index (PSQI), and the Depression, Anxiety, and Stress Scale-21 items (DASS-21). The statistical analysis was performed using the IBM SPSS Statistics for Windows software, version 22.0 (p < 0.05).
Results A total of 400 students were enrolled in the present study, including 115 medicine, 153 technology, and 132 art students (67.3% of female and 33.7% of male subjects, with a mean age of 21.06 ± 2.063 years). In spite of the absence of significant differences among the chronotypes of the three groups, there was a significant correlation regarding the chronotypes in all groups and quality of life (p = 0.005). Morning-type individuals presented better quality of life and better quality of sleep (p < 0.001; r = 0.175). No significant associations were found involving the students' academic performance and their chronotypes (p > 0.05; r = 0.026).
Conclusion Considering the chronotype's effect of improving the quality of life of students and, therefore, their academic performance, more studies are essential to effectively improve the academic performance of individuals with different chronotypes.
Psychosocial Risk Factors at Work and Sleep Quality in Healthcare Workers – A Cross-Sectional Study
Authors: Rohwedder Luiza Salvador , Triches Maria Isabel , Sousa Rosângela Aparecida de , Sato Tatiana de Oliveira , Mininel Vivian Aline 
Published: April 2024

Abstract
Objective To investigate psychosocial factors at work, sleep characteristics, and the correlation between these aspects in healthcare workers.
Material and methods A cross-sectional e-survey study was conducted with 125 workers of the Brazilian healthcare system, mostly from the Southeast region, from June 2021 to April 2022. Self-administered questionnaires in Google Forms were used to collect data on personal and occupational characteristics, psychosocial factors (Copenhagen Psychosocial Questionnaire), and sleep quality (Pittsburg Sleep Quality Index). Descriptive statistics and a point biserial correlation test were performed.
Results The most reported factors in the risk zone were burnout (86%), stress (81%), emotional demands (75%), work pace (61%), and work-family conflicts (55%). Most participants were classified as poor sleepers (74%), especially nursing technicians/assistants (86%). Burnout (rpb = 0.33) and inadequate predictability (rpb = 0.30) were associated with poor sleep quality.
Conclusion Intervention strategies to decrease burnout and increase predictability at work may assist in improving sleep quality among healthcare workers.
Short Sleep Duration and Skipping Main Meals among University Students
Authors: de-Arruda Jéssika Patatas , de-Souza Ana Paula Alves , Pereira Lídia Pitaluga , Fonseca Lorena Barbosa , Nogueira Patrícia Simone , Rodrigues Paulo Rogério Melo , Muraro Ana Paula , Ferreira Márcia Gonçalves 
Published: April 2024

Abstract
Introduction Admission to university influences lifestyle behaviors and is marked by a daily routine of accumulation of activities that can interfere with sleep duration, affecting food choices and meal consumption habits throughout the day.
Objective To analyze the association between short sleep duration and skipping main meals among university students.
Materials and Methods We conducted a cross-sectional study with 1,608 university students aged between 16 and 25 years, who were enrolled in full-time undergraduate courses at a public university in the Midwestern region of Brazil. Information on skipping breakfast, lunch, and dinner was collected through the question “On average, how often do you eat the following meals?”. Given the lack of a uniform criterion to define “skipping a meal”, in the present study, any answer that did not correspond to the daily consumption of the meal was classified as meal skipping, based on the recommendation of the Dietary Guidelines for the Brazilian Population. Short sleep duration was determined according to sleep time during the night (≤ 6 hours for those aged ≥18 years and ≤ 7 hours for those under 18 years of age). Associations were estimated using adjusted Poisson regression models.
Results The prevalences of skipping breakfast, lunch, and dinner were of 51.0%, 13.9%, and 35.6% respectively. Short sleep duration was observed in 27.2% of the study population. After adjusting for confounding variables, short sleep duration was positively associated with skipping breakfast (adjusted prevalence ratio [PRadj] = 1.20; 95% confidence interval [95%CI] = 1.08–1.34) and skipping lunch (PRadj = 1.64; 95%CI = 1.27–2.12).
Conclusion University students presented a high prevalence of skipping main meals. Short sleep duration was directly associated with skipping two major meals of the day: breakfast and lunch.
Design and fabrication of a novel all-quartz resonant pressure sensor with continuously variable section of DETF
Authors: Han Dongxiang , Yuan Shenfang , Feng Congwei , Yang Ting , Yang Jian 
Published: April 2024

This paper reports a novel piezoelectric quartz crystal pressure sensor with a double-ended tuning fork (DETF) resonator. The key design is the resonator beams with a continuously variable section shape. Different from the traditional DETF with straight beams or the one with variable sections with steps, this design can improve sensitivity effectively. Theoretical analysis indicates that the sensitivity will increase with a decrease in beam width. Resonant pressure sensors with three different DETFs are designed and analyzed by finite element analysis software. Simulation results show that the sensitivity of this design is 162.27 Hz/MPa. This sensor has a typical structure, which includes three parts: the diaphragm, DETF resonator, and back-cavity structure. Quartz MEMS processes have been used in fabrication. The three parts are bonded together by vacuum glass frit sealing process. Test results of this sensor show that the natural frequency is 44.709 kHz with a quality factor of 12 717. The sensitivity is 155.6 Hz/MPa in the pressure range of 0–20 MPa. The results indicate that this novel design has advantages in sensitivity and fabrication processes. It will be a benefit for a high-performance and low-cost pressure measurement.
Final report, ongoing key comparison BIPM.QM-K1, ozone at ambient level, comparison with NMC-A*STAR, July 2022
Authors: Viallon Joële , Idrees Faraz , Moussay Philippe , Wielgosz Robert , Kai Fuuming , Kuehsamy Lemuel Joel , Cui Yuxi , Norris James E , Hodges Joseph 
Published: April 2024

Main text
As part of the ongoing key comparison BIPM.QM-K1, a comparison has been performed between the ozone national standard of Singapore maintained by the National Metrology Centre, A*STAR (NMC, A*STAR) and the common reference standard of the key comparison, maintained by the Bureau International des Poids et Mesures (BIPM), via a transfer standard maintained by the National Institute of Standards and Technology (NIST). The instruments have been compared over a nominal ozone amount-of-substance fraction range of 0 nmol/mol to 500 nmol/mol.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Thermodynamics of solvent sorption by layers of carbon-chain polymers in damping rubber blankets
Authors: Konyukhov V Yu , Kondratov A P , Yamilinets S Yu , Marchenko Ekaterina S , Baigonakova Gulsharat A 
Published: April 2024

Abstract
The paper addresses the study of the thermodynamic compatibility of carbon-chain polymer compositions of offset rubber blankets with low-molecular-weight liquids, paint solvents and care agents for rubber damping machine parts used in transport, mechanical engineering and printing industries. The Flory-Huggins parameters χ were determined by inverted gas chromatography and calculation performed using the mathematical model of sorption, and the correlation between χ obtained by these two independent methods was found. The excess thermodynamic characteristics of the studied systems G
E, H
E and S
E were calculated to predict the compatibility of components in these systems. The relationship was found between χ that characterizes the thermodynamic quality of the solvent and the equilibrium swelling index of polymer networks.
BCS in the sky: signatures of inflationary fermion condensation
Authors: Tong Xi , Wang Yi , Zhang Chen , Zhu Yuhang 
Published: April 2024

Abstract
We consider a Bardeen-Cooper-Schrieffer (BCS)-like model in the inflationary background. We show that with an axial chemical potential, the attractive quartic fermion self-interaction can lead to a BCS-like condensation. In the rigid-de Sitter (dS) limit of inflation where backreaction from the inflaton and graviton is neglected, we perform the first computation of the non-perturbative effective potential that includes the full spacetime curvature effects in the presence of the chemical potential, subject to the mean-field approximation whose validity has been checked via the Ginzburg criterion. The corresponding BCS phase transition is always first-order, when the varying Hubble is interpreted as an effective Gibbons-Hawking temperature of dS spacetime. In the condensed phase, the theory can be understood from UV and IR sides as fermionic and bosonic, respectively. This leads to distinctive signatures in the primordial non-Gaussianity of curvature perturbations. Namely, the oscillatory cosmological collider signal is smoothly turned off at a finite momentum ratio, since different momentum ratios effectively probe different energy scales. In addition, such BCS phase transitions can also source stochastic gravitational waves, which are feasible for future experiments.
Distinguishing the observational signatures of hot spots orbiting Reissner-Nordström spacetime*
Authors: Wu 吴 Tianshu 天枢 , Chen 陈 Yiqian 一千 
Published: April 2024

Abstract
This paper investigates observable signatures of hot spots orbiting Reissner-Nordström (RN) black holes and naked singularities. For an RN black hole, we find two discernible lensing image tracks in time integrated images, capturing a complete orbit of hot spots and a image shadow within the critical curve where photons with a small impact parameter fall into the event horizon. Conversely, in RN singularities, additional image tracks can be found within the critical curve, originating from photons reflected by the infinitely high effective potential well. Moreover, we find incomplete and converging tracks from the time integrated images of hot spot orbiting RN singularities that have no photon sphere. The presence of these additional image tracks significantly influences temporal magnitudes at their local maxima, enabling us to differentiate between RN black holes and RN naked singularities.
Real-time Abnormal Detection of GWAC Light Curve based on Wavelet Transform Combined with GRU-Attention
Authors: Li Hao , Zhao Qing , Shao Long , Liu Tao , Cui Chenzhou , Xu Yunfei 
Published: April 2024

Abstract
Nowadays, astronomy has entered the era of Time-Domain Astronomy, and the study of the time-varying light curves of various types of objects is of great significance in revealing the physical properties and evolutionary history of celestial bodies. The Ground-based Wide Angle Cameras telescope, on which this paper is based, has observed more than 10 million light curves, and the detection of anomalies in the light curves can be used to rapidly detect transient rare phenomena such as microgravity lensing events from the massive data. However, the traditional statistically based anomaly detection methods cannot realize the fast processing of massive data. In this paper, we propose a Discrete Wavelet (DW)-Gate Recurrent Unit-Attention (GRU-Attention) light curve warning model. Wavelet transform has good effect on data noise reduction processing and feature extraction, which can provide richer and more stable input features for a neural network, and the neural network can provide more flexible and powerful output model for wavelet transform. Comparison experiments show an average improvement of 61% compared to the previous pure long-short-term memory unit (LSTM) model, and an average improvement of 53.5% compared to the previous GRU model. The efficiency and accuracy of anomaly detection in previous paper work are not good enough, the method proposed in this paper possesses higher efficiency and accuracy, which incorporates the Attention mechanism to find out the key parts of the light curve that determine the anomalies. These parts are assigned higher weights, and in the actual anomaly detection, the star is detected with 83.35% anomalies on average, and the DW-GRU-Attention model is compared with the DW-LSTM model, and the detection result f1 is improved by 5.75% on average, while having less training time, thus providing valuable information and guidance for astronomical observation and research.
IMRT Planning Using 5, 7 and 9 Radiation Field Directions for Nasopharyngeal Cancer Cases
Authors: Alfitra Lira Senja , Suwandi  , Arif Idam 
Published: April 2024

AbstractNasopharyngeal carcinoma (NPC) is one of the deadliest cancers in the world. In treating NPC, Intensity Modulated Radiation Therapy (IMRT) uses radiation fields from several directions to kill cancer cells and shrink tumours. IMRT requires accurate planning using the Treatment Planning System (TPS) to avoid organs at risk (OARs) around the nasopharyngeal cavity. The purpose of this study is to analyse the results of different number of radiation field directions in treatment planning for nasopharyngeal cancer using IMRT. The study focuses on the distribution of dose in the target tumour and organs at risk around the target. The treatment planning parameters are Dose Volume Histogram (DVH), Conformity Index (CI), Homogeneity Index (HI), dose at organs at risk (OARs) and beam on time (BOT). This study used TPS Monaco with the Monte Carlo algorithm and the inverse planning method. Based on DVH, CI, HI and BOT parameters, the results of this study indicate that the most optimal number of radiation field directions to give prescribed doses was 9 radiation field directions. There was no significant difference in the average dose received by OARs in planning with 7 and 9 radiation field directions. In the planning using 5 field directions, some of the OARs received doses above the tolerance limit. While in the planning using 7 and 9 field directions, most of the OARs received doses below the tolerated doses which met the permitted treatment requirements.
Two-dimensional magnetotelluric inversion using unstructured triangular mesh implemented in Julia
Authors: Diba Dieno , Nurhasan  , Uyeshima Makoto , Usui Yoshiya 
Published: April 2024

Abstract
This study presents a 2-D magnetotelluric inversion code tailored for unstructured triangular meshes, developed using Julia, a high-level, high-performance programming language designed for scientific and numerical computation. The forward modeling engine utilizes a node-based finite element method to solve electromagnetic fields throughout the modeling domain. The inversion process employs the Gauss-Newton optimization algorithm, iteratively updating the model via the minimization of a regularized least-squares objective function. We verified the accuracy of the forward modeling using two reference models and performed a synthetic inversion experiment to validate our inversion method and stress the necessity of accurately handling topography-influenced data. Through its application to constructing an electrical resistivity model beneath the northwestern end of Sumatra Island, Indonesia, we demonstrate the practicality of our code for inverting field datasets.
Experimental study on dynamic angle of repose formation: Effect of granular type and water content
Authors: Adriel Jonathan , Dini Septian Ulan , Nurafni Sevi , Viridi Sparisoma 
Published: April 2024

Abstract
The experiment of granular in rotating cylinder is a common experiment to study granular material behaviour. In this study, we investigate the effect of granular type and water content on the dynamic angle of repose in a rotating cylinder. Rice seed, mung bean, and sand are used as samples. Experimental results show each sample has a different dynamic angle of repose that is related to the shape of the sample. We also study the effect of the water content on the sand sample. The addition of water content has no significant effect on the dynamic angle of repose. This occurs because the water content used has passed the critical point.
Electrical Resistivities of PVA/Activated Carbon-Based Hydrogels
Authors: Sihombing Y A , Edikresnha D , Anshori I , Hapidin D A , Khairurrijal K 
Published: April 2024

Abstract
This study investigates the physical and electrical properties of the polyvinyl alcohol (PVA) hydrogel incorporated with edible Activated Carbon (AC). Three samples, namely PVA, PVA/AC 0.5, and PVA/AC 1.0 were prepared using the freeze-thaw method. The samples underwent six freeze-thaw cycles, each consisting of freezing at –25°C for 20 hours and subsequent exposure to room temperature for 4 hours. The porous network of hydrogel is attributed to the hydroxyl groups of PVA, resulting from the intermolecular cross-linking of PVA chains. The edible AC was uniformly dispersed within the hydrogel network, leading to a reduction in hydrogel pores. As a result, the electrical resistivity of PVA, PVA/AC 0.5, and PVA/AC 1.0 hydrogels measured 1052.9 ± 165.0 Ω.cm, 403.1 ± 29.2 Ω.cm, and 59.9 ± 4.7 Ω.cm, respectively. The incorporation of edible AC significantly decreased the resistivity of the hydrogel. So, this hydrogel is promising for biomedical and edible electronics applications.
Enhancing Growth of Multi-Layer Graphene Synthesis on Glass Substrate Though Ni Catalyst Annealing Using Hot Wire in Plasma Very High-Frequency PECVD Method
Authors: Nuayi A W , Noor F A , Sustini E , Irzaman  , Winata T 
Published: April 2024

Abstract
This study synthesized multi-layer graphene on a glass substrate using the high-frequency plasma-enhanced vapor deposition method with a hot wire in plasma. In the growth process, plasma was generated from methane gas (CH4) using an RF power generator at 70 MHz frequency and nickel (Ni) as the catalyst, which is deposited and annealed beforehand. This study aims as a preliminary to obtain optimum parameters for MLG growth using the HW IP-VHF-PECVD method. Raman spectroscopy, utilizing a 532 nm laser and an 1800 g/mm grating, detected distinctive D-band, G-band, and 2D-band peaks at wave numbers of 1335.31, 1607.74, and 2660.99 cm−1, respectively, in unannealed catalyst samples. Raman analysis, incorporating the I2D/IG ratio, revealed the presence of multi-layer graphene exhibiting diverse ratios (0.07 – 0.22) and crystal sizes (15.62 – 20.70 nm). SEM analysis demonstrated enhanced homogeneity in grain size and uniformity in thickness following Ni catalyst annealing. EDS confirmed the successful growth of graphene with carbon identified as the primary element. The annealing process at 400 °C for two hours resulted in graphene with a higher mass percentage and a more significant percentage of carbon atoms. These findings underscore the potential of the HW IP-VHF-PECVD method for producing multi-layer graphene, particularly in the context of solar cell applications, with further optimization of parameters.
Solvatochromic Behavior of Solid-State Nitrogen-Doped Carbon Nanoparticles: Initial Study
Authors: Sugiana Rusdia Shaleha , Umami Reza , Permatasari Fitri Aulia , Nuryadin Bebeh Wahid 
Published: April 2024

Abstract
Carbon nanoparticles (CNPs) have garnered significant attention among researchers due to their cost-effectiveness and tunable properties, rendering them applicable in a wide array of fields, including biomedicine, optoelectronics, catalysis, and sensing. The solvatochromic effect denotes the phenomenon of a compound exhibiting a color change or a shift in its photoluminescence spectrum. In this study, we investigated the solvatochromic behavior of CNPs doped Nitrogen synthesized through the solid-state route using citric acid and urea, dissolved in solvents with varying polarity indices. Significant differences in emission were analyzed using a photoluminescence (PL) spectrometer. The results exhibit the emission shifting towards longer wavelengths (red region) as the solvent’s polarity index increased. This study of solvatochromic behavior in CNPs holds substantial significance for further research into their application as sensors.
Analysis of the Effect of Coordination Number on Permeability of the Three-Dimensional (3D) Rock Model Using the Lattice Boltzmann Method (LBM)
Authors: Saputra Budi Dharmala , Fauzi Umar 
Published: April 2024

Abstract
Understanding the correlation between coordination number and permeability is crucial for predicting fluid flow behavior in hydrocarbon reservoirs. In this study, we investigated the influence of coordination number on permeability in three-dimensional (3D) rock models. The research methodology involved the creation of synthetic 3D rock models, incorporating pores networks with varying coordination numbers. Utilizing the Lattice Boltzmann Methods (LBM), a computational fluid dynamics approach, we simulated fluid flow through these synthetic rock models and quantified their permeability. Our findings demonstrated a strong dependency of permeability on the coordination number of synthetic rock models. The application of the Lattice Boltzmann Method (LBM) proved to be an effective tool for understanding fluid flow behavior in porous rock formations and can serve as a basis for further optimization of reservoir management strategies to maximize hydrocarbon exploitation.
Localization of scalar matter with nonminimal derivative coupling on braneworlds
Authors: Rohman Muhammad Taufiqur , Triyanta  , Suroso Agus 
Published: April 2024

Abstract
The localization of scalar matter with nonminimal derivative coupling (NMDC) in the braneworld model is studied. Two types of brane models are considered: a thin brane (the Modified Randall-Sundrum) and a thick brane generated by the bulk scalar field. The 5-dimensional theory of scalar field with NMDC is reduced to the effective 4-dimensional theory by imposing the fulfillment of localization conditions. In this article, the localization properties of field with NMDC are examined in both models. We found that the massless and massive scalar field with NMDC can be localized on the MRS thin brane. In the thick brane, the massless scalar field is localized.