bluuebunny/crossref_metadata_2025_split huggingface dataset:
ANALYSIS OF TOURISM TRENDS AFTER COVID-19
Authors: Davtyan Anna 
Published: November 2023

After the great boom of tourism industries all over the world, by recording approximately 1.5 billion international tourist arrivals in 2019, the unfortunate event of covid-19 changed the world and accordingly, the boom of the tourism industry.
The world faced an unspeakable; pandemic, which brought losses of numerous lives, and bankruptcy of businesses, including tourism-related businesses. The economies that depend on tourism (a higher portion of GDPs) tried to re-open their borders to tourists as soon as the numbers of infected were not major in their countries.
Every and each country had regulations related to procedures regarding arrivals after covid-19, trying to minimize the risks and outbreaks of the virus in the country, major rules were that, tourists had to be vaccinated, take tests a maximum of 48 hours before the flight, etc…Naturally, tourists would more give priority to checking the location regulations, hygiene, sanitizing and wearing masks, etc. From the responses of the conducted survey (Rangsit University 143 international students), it is found that, the youth still has the willingness to travel, but with a lower budget, compared with the budget before covid-19. Content and visiting friends and family trips will be popular types of trips after covid-19. Countries have to develop and focus on making better experiences not only for international travelers, but also for domestic travelers, as visiting friends and family consists of trips locally with family and friends.
CLUSTERING AS A METHOD OF RUSSIA REPOSITIONING IN THE STRUCTURE OF GLOBAL HEALTH TOURISM
Authors: Ushakov Denis , Vasyuta Evgeniya 
Published: November 2023

Current global socio-economic trends associated with scientific and technological progress increase, accelerated transnationalization, aggravation of the global problems of mankind, including the consequences of the COVID-19 pandemic, on the one hand, provide Russia with additional strategic advantages to ensure the prospects for the formation of competitive clusters in the field of health-improving services provision. On the other hand, the global situation requires the implementation of measures to modernize the existing medical and healthcare tourism (MHT) system in Russia, associated with the digitalization processes inevitability, services’ individualization, dynamics of consumer preferences and age structure, and high guarantees for the tourists’ safety. Based on the secondary data analysis, the paper identifies Russia prospective regions in terms of the potential for health tourism clusters formation and development, evaluates sectoral clustering as a method of effective public-private partnership in the field of national health tourism.
INFLUENCE OF POLITICAL MARKETING ON VOTING INTENTION: AN EMPIRICAL INVESTIGATION
Authors: Riachi Alfred , Shatila Khodor 
Published: November 2023

The firms who are employing marketing smartly have a big lead in terms of profitability. They are able to obtain their essential resources to use the resources and to forecast the consequence of their efforts. The success of corporate organizations owing to effective application of marketing has inspired the politicians to think about the intelligent use of marketing in politics as well. The sample size is 385 when the levels of significance are set at 95% (z = 1.96), 5% (e = +.5), and 5% (p =.5). Only 330 respondents made it through the screening process due to being both full and consistent.
Firms that use marketing wisely have a big advantage in terms of profitability. They can get their core resources to use the resources and predict the consequences of their efforts. The success of corporate organizations through the effective use of marketing has inspired politicians to think about the wise use of marketing in politics as well. The sample size is 385 when the significance levels are set at 95% (z = 1.96), 5% (e = +.5), and 5% (p = 0.5). Only 330 respondents went through the selection process due to the fact that they were complete and consistent.
Money was utilized by politicians in Lebanon during voter registration, party primaries, and the general election. Politicians in the state of Lebanon were found to have utilized fast-burning cash to purchase voters or permanent voters' cards and to compromise electoral staffs. Voter turnout was impacted by this illegal conduct. The importance of money in a democracy stems from the fact that most political action requires financial backing.
There has been a marked decrease in the usage and mentions of its politicians, particularly on Twitter, despite the fact that the internet world has simplified access to celebrity culture. According to the data, these well-known people were not very influential on Twitter.
A Closer Look at Bearing Fault Classification Approaches
Authors: Abburi Harika , Chaudhary Tanya , Ilyas Sardar Haider Waseem , Manne Lakshmi , Mittal Deepak , Bowen Edward , Williams Don , Snaidauf Derek , Veeramani Balaji 
Published: November 2023

Rolling bearing fault diagnosis has garnered increased attention in recent years owing to its presence in rotating machinery across various industries, and an ever increasing demand for efficient operations. Prompt detection and accurate prediction of bearing failures can help reduce the likelihood of unexpected machine downtime and enhance maintenance schedule, averting lost productivity. More recent technological advances have enabled monitoring the health of these assets at scale using a variety of sensors, and predicting the failures using modern machine learning (ML) approaches. Deep neural network approaches that has demonstrated superior performance across computer vision and natural language processing tasks are increasingly considered for failure prediction using vibration sensors. Vibration data has been collected using accelerated run-to-failure of overloaded bearings, or by introducing known failure in bearings, under a variety of operating conditions like rotating speed, load on the bearing, type of bearing fault, and data acquisition frequency. However, in using deep neural networks or other ML models for predicting failure using vibration data, there is a lack of consistency in the choice of how these approaches are evaluated, what portion of data from run-to-failure experiments are considered for training failure prediction models, or even how these problems are formulated as machine learning classification problems. An understanding of the impact of these choices is important to reliably develop models, and deploy them in practical settings. In this work, we demonstrate the significance of these choices on the performance of the models using publicly-available vibration datasets and discuss the implications of these choices for the models to be useful in real world scenarios.
Low Complexity Signature Estimation of Near-Field Spatial-Wideband Systems
Authors: Das Shrayan , Sen Debarati , Viterbo Emanuele 
Published: November 2023

<p>This letter proposes a low-complexity, two-step angle, range and delay signature estimation algorithm for a sparse multipath near-field spatial-wideband system. With upcoming sub-THz systems expected to have a large number of antennas, the transmitted wideband signal is not only sensitive to the physical propagation delay across the array aperture but the resulting wavefront is no longer locally planar. We use a combination of discrete linear chirp transform and discrete Fourier transform based techniques to estimate the spatial wideband signature of such a system. Further, we propose an iterative neighbourhood search to acquire super-resolution estimates of the scatterer locations, delays and angle of arrival of the multipaths and show that they are asymptotically optimal approaching their respective Cramér-Rao bounds. This letter proposes a low-complexity one-snapshot two-step signature estimation algorithm for a sparse multipath near-field spatial-wideband system. With upcoming sub-THz systems expected to have a large number of antennas, the transmitted wideband signal is not only sensitive to the physical propagation delay across the array aperture but the resulting wavefront is no longer locally planar. We use a combination of discrete Fourier and discrete linear chirp transform-based techniques to estimate the spatial wideband signature of such a system. Further, we propose an iterative neighbourhood search to acquire super-resolution estimates of the scatterer locations, delays and angle of arrival of the multipaths and show that they are asymptotically optimal approaching their respective Cramer- Rao bounds. </p>
The Two Couriers Problem and Diverse Approaches to Division by Zero
Authors: Zaman Budee U 
Published: November 2023

<p> In this paper, we delve into the historical and enduring algebraic conundrum known as the Two Couriers Problem, originally posed by the French mathematician Clairaut in 1746. Over the centuries, this problem has persisted, finding its way into numerous textbooks, journals, and mathematical discussions. One of the remarkable aspects of the Two Couriers Problem is its inherent connection to division by zero, a mathematical operation that has intrigued scholars for generations. Division by zero, a concept laden with complexity and ambiguity, has sparked diverse mathematical approaches. Conventional mathematics regards division by zero as an indeterminate or undefined result. However, alternative methodologies have emerged over time. Transmathematics defines division by zero as either nullity or explicitly positive or negative infinity, offering a different perspective. Saitoh simplifies division by zero as zero, challenging traditional conventions, while Barukˇci´c explores the possibility of defining it as either unity or explicitly positive or implicitly negative infinity. Amidst these varied approaches, the central question persists: which method offers the most effective solution to the enigma of division by zero? To answer this question, we propose utilizing the Two Couriers Problem as an objective benchmark. By subjecting these different mathematical approaches to this historical problem, we aim to rigorously evaluate their efficacy and determine which one stands out as the most viable solution. This paper seeks to unravel the complexities of division by zero through a systematic analysis, utilizing the Two Couriers Problem as a guiding light. By doing so, we endeavor to shed new insights on this age-old mathematical puzzle and contribute valuable perspectives to the ongoing discourse surrounding division by zero and its diverse interpretation </p>
Anxiety Experiences Among Pregnant Women During COVID-19 Pandemic
Authors: Wuisang Metty , Tendean Angelia Friska , Ering Cherol Nelson 
Published: November 2023

Pregnant women are a group at risk of contracting COVID-19. This condition makes pregnant women often feel anxious about the possibility of exposure to COVID-19 infection. Anxiety that cannot be overcome will have a negative impact on the pregnant woman herself, such as preeclampsia and even miscarriage and the fetus, such as premature birth and low birth weight. This study aims to explore the anxiety experiences of pregnant women during the COVID-19 pandemic. This research was conducted in the North Minahasa area using a qualitative method with a phenomenological approach. Informants in this study amounted to 11 people. Methods of data collection using semi-structured video and face-to-face interviews. Anxiety experienced 4 themes that emerged, namely: 1) Anxiety about contracting, 2) Anxiety about other people's health, 3) Anxiety about doing antenatal care, and 4) Anxiety about childbirth. Health workers need to overcome anxiety in pregnant women so that negative impacts on pregnant women and the fetus can be avoided. Telehealth can be an alternative option to help pregnant women deal with anxiety during the COVID-19 pandemic.
Keywords: Anxiety, COVID-19, Pregnant Women

Abstrak
Ibu hamil merupakan kelompok yang berisiko tertular COVID-19. Kondisi ini membuat ibu hamil kerap merasa cemas akan kemungkinan terpapar infeksi COVID-19. Kecemasan yang tidak bisa diatasi akan berdampak buruk pada ibu hamil itu sendiri seperti preeklampsia bahkan keguguran dan janin seperti lahir prematur dan berat badan bayi baru lahir rendah. Penelitian ini bertujuan untuk mengeksplorasi pengalaman kecemasan ibu hamil selama pandemi COVID-19. Penelitian ini dilakukan di daerah Minahasa Utara dengan menggunakan metode kualitatif dengan pendekatan fenomenologis. Informan dalam penelitian ini berjumlah 11 orang. Metode pengumpulan data menggunakan video semi terstruktur dan wawancara tatap muka. Kecemasan mengalami 4 tema yang muncul yaitu: 1) Kecemasan tertular, 2) Kecemasan terhadap kesehatan orang lain, 3) Kecemasan melakukan antenatal care, dan 4) Kecemasan terhadap persalinan. Tenaga kesehatan perlu mengatasi kecemasan pada ibu hamil sehingga dampak negatif pada ibu hamil maupun janin bisa terhindari. Telehealth dapat menjadi pilihan alternatif untuk membantu ibu hamil mengatasi kecemasan selama masa pandemi COVID-19.
Kata Kunci: COVID-19, Ibu hamil, Kecemasan
Empirical 2MASS–WFC3/IR Filter Transformations Across the H-R Diagram from Synthetic Photometry
Authors: Durbin M. J. , Beaton R. L. , Monson A. J. , Swidler B. , Dalcanton J. J. 
Published: November 2023

Abstract
Near-infrared bandpasses on spaceborne observatories diverge from their ground-based counterparts as they are free of atmospheric telluric absorption. Available transformations between respective filter systems in the literature rely on theoretical stellar atmospheres, which are known to have difficulties reproducing the observed spectral energy distributions of cool giants. We present new transformations between the Two Micron All Sky Survey JHK

S
and Hubble Space Telescope WFC3/IR F110W, F125W, and F160W photometric systems based on synthetic photometry of empirical stellar spectra from four spectral libraries. This sample comprises over 1000 individual stars, which together span nearly the full H-R diagram and sample stellar populations from the solar neighborhood out to the Magellanic Clouds, covering a broad range of ages, metallicities, and other relevant stellar properties. In addition to global color-dependent transformations, we examine band-to-band differences for cool, luminous giant stars in particular, including multiple types of primary distance indicators.
PNet—A Deep Learning Based Photometry and Astrometry Bayesian Framework
Authors: Sun Rui , Jia Peng , Sun Yongyang , Yang Zhimin , Liu Qiang , Wei Hongyan 
Published: November 2023

Abstract
Time-domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions. Given the urgency of conducting follow-up observations for such objects, the development of an algorithm capable of detecting them and determining their magnitudes and positions has become imperative. Leveraging the advancements in deep neural networks, we present PNet, an end-to-end framework designed not only to detect celestial objects and extract their magnitudes and positions, but also to estimate the photometric uncertainty. PNet comprises two essential steps. First, it detects stars and retrieves their positions, magnitudes, and calibrated magnitudes. Subsequently, in the second phase, PNet estimates the uncertainty associated with the photometry results, serving as a valuable reference for the light-curve classification algorithm. Our algorithm has been tested using both simulated and real observation data, demonstrating the ability of PNet to deliver consistent and reliable outcomes. Integration of PNet into data-processing pipelines for time-domain astronomy holds significant potential for enhancing response speed and improving the detection capabilities for celestial objects with variable positions and magnitudes.
The Impact of Angle-dependent Partial Frequency Redistribution on the Scattering Polarization of the Solar Na i D Lines
Authors: Janett Gioele , Alsina Ballester Ernest , Belluzzi Luca , del Pino Alemán Tanausú , Trujillo Bueno Javier 
Published: November 2023

Abstract
The long-standing paradox of the linear polarization signal of the Na i D1 line was recently resolved by accounting for the atom’s hyperfine structure and the detailed spectral structure of the incident radiation field. That modeling relied on the simplifying angle-averaged (AA) approximation for partial frequency redistribution (PRD) in scattering, which potentially neglects important angle–frequency couplings. This work aims at evaluating the suitability of a PRD-AA modeling for the D1 and D2 lines through comparisons with general angle-dependent (AD) PRD calculations in both the absence and presence of magnetic fields. We solved the radiative transfer problem for polarized radiation in a 1D semiempirical atmospheric model with microturbulent and isotropic magnetic fields, accounting for PRD effects and comparing PRD-AA and PRD-AD modelings. The D1 and D2 lines are modeled separately as a two-level atomic system with hyperfine structure. The numerical results confirm that a spectrally structured radiation field induces linear polarization in the D1 line. However, the PRD-AA approximation greatly impacts the Q/I shape, producing an antisymmetric pattern instead of the more symmetric PRD-AD one while presenting a similar sensitivity to magnetic fields between 10 and 200 G. Under the PRD-AA approximation, the Q/I profile of the D2 line presents an artificial dip in its core, which is not found for the PRD-AD case. We conclude that accounting for PRD-AD effects is essential to suitably model the scattering polarization of the Na i D lines. These results bring us closer to exploiting the full diagnostic potential of these lines for the elusive chromospheric magnetic fields.
The Origin of Low-redshift Event Rate Excess as Revealed by the Low-luminosity Gamma-Ray Bursts
Authors: Dong X. F. , Zhang Z. B. , Li Q. M. , Huang Y. F. , Bian K. 
Published: November 2023

Abstract
The relation between the event rate of long gamma-ray bursts and the star formation rate is still controversial, especially at the low-redshift end. Dong et al. confirmed that the gamma-ray burst rate always exceeds the star formation rate at a low redshift of z < 1 in spite of the sample completeness. However, the reason for low-redshift excess is still unclear. Since low-luminosity bursts are at smaller redshifts generally, we choose three Swift long burst samples and classify them into low- and high-luminosity bursts in order to check whether the low-redshift excess is existent and if the excess is biased by the sample size and completeness. To degenerate the redshift evolution from luminosity, we adopt the nonparametric method to study the event rate of the two types of long bursts in each sample. It is found that the high-luminosity burst rate is consistent with the star formation rate within the whole redshift range, while the event rate of low-luminosity bursts exceeds the star formation rate at a low redshift of z < 1. Consequently, we conclude that the low-redshift excess is contributed by the low-luminosity bursts with possibly new origins unconnected with the star formation, which is also independent of the sample size and the sample completeness.
Coherent Cherenkov Radiation by Bunches in Fast Radio Bursts
Authors: Liu Ze-Nan , Geng Jin-Jun , Yang Yuan-Pei , Wang Wei-Yang , Dai Zi-Gao 
Published: November 2023

Abstract
Fast radio bursts (FRBs) are extragalactic radio transients with extremely high brightness temperature, which strongly suggests the presence of coherent emission mechanisms. In this study, we introduce a novel radiation mechanism for FRBs involving coherent Cherenkov radiation (ChR) emitted by bunched particles that may originate within the magnetosphere of a magnetar. We assume that some relativistic particles are emitted from the polar cap of a magnetar and move along magnetic field lines through a charge-separated magnetic plasma, emitting coherent ChR along their trajectory. The crucial condition for ChR to occur is that the refractive index of the plasma medium, denoted as n

r
, must satisfy the condition

n

r

2

>
1

. We conduct comprehensive calculations to determine various characteristics of ChR, including its characteristic frequency, emission power, required parallel electric field, and coherence factor. Notably, our proposed bunched coherent ChR mechanism has the remarkable advantage of generating a narrower-band spectrum. Furthermore, a frequency downward-drifting pattern and ∼100% linearly polarized emission can be predicted within the framework of this emission mechanism.
Near-IR Weak-lensing (NIRWL) Measurements in the CANDELS Fields. I. Point-spread Function Modeling and Systematics
Authors: Finner Kyle , Lee Bomee , Chary Ranga-Ram , Jee M. James , Hirata Christopher , Congedo Giuseppe , Taylor Peter , HyeongHan Kim 
Published: November 2023

Abstract
We have undertaken a near-IR weak-lensing (NIRWL) analysis of the CANDELS HST/WFC3-IR F160W observations. With the Gaia proper motion–corrected catalog as an astrometric reference, we updated the astrometry of the five CANDELS mosaics and achieved an absolute alignment within 0.″02 ± 0.″02, on average, which is a factor of several superior to existing mosaics. These mosaics are available to download (https://drive.google.com/drive/folders/1k9WEV3tBOuRKBlcaTJ0-wTZnUCisS__r). We investigated the systematic effects that need to be corrected for weak-lensing measurements. We find that the largest contributing systematic effect is caused by undersampling. We find a subpixel centroid dependence on the PSF shape that causes the PSF ellipticity and size to vary by up to 0.02 and 3%, respectively. Using the UDS as an example field, we show that undersampling induces a multiplicative shear bias of −0.025. We find that the brighter-fatter effect causes a 2% increase in the size of the PSF and discover a brighter-rounder effect that changes the ellipticity by 0.006. Based on the small range of slopes in a galaxy’s spectral energy distribution (SED) within the WFC3-IR bandpasses, we suggest that the impact of the galaxy SED on the PSF is minor. Finally, we model the PSF of WFC3-IR F160W for weak lensing using a principal component analysis. The PSF models account for temporal and spatial variations of the PSF. The PSF corrections result in residual ellipticities and sizes, ∣de
1∣ < 0.0005 ± 0.0003, ∣de
2∣ < 0.0005 ± 0.0003, and ∣dR∣ < 0.0005 ± 0.0001, that are sufficient for the upcoming NIRWL search for massive overdensities in the five CANDELS fields.