bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Period Determination Method for Periodic Variable Stars
Authors: Xu Xiao-Hui , Zhu Qing-Feng , Li Xu-Zhi , Li Bin , Zheng Hang , Qiu Jin-Sheng , Zhao Hai-Bin 
Published: November 2022

Abstract
Variable stars play a key role in understanding the Milky Way and the universe. The era of astronomical big data presents new challenges for quick identification of interesting and important variable stars. Accurately estimating the periods is the most important step to distinguish different types of variable stars. Here, we propose a new method of determining the variability periods. By combining the statistical parameters of the light curves, the colors of the variables, the window function and the Generalized Lomb-Scargle (GLS) algorithm, the aperiodic variables are excluded and the periodic variables are divided into eclipsing binaries and NEB variables (other types of periodic variable stars other than eclipsing binaries), the periods of the two main types of variables are derived. We construct a random forest classifier based on 241,154 periodic variables from the ASAS-SN and OGLE data sets of variables. The random forest classifier is trained on 17 features, among which 11 are extracted from the light curves and 6 are from the Gaia Early DR3, ALLWISE, and 2MASS catalogs. The variables are classified into 7 superclasses and 17 subclasses. In comparison with the ASAS-SN and OGLE catalogs, the classification accuracy is generally above approximately 82% and the period accuracy is 70%–99%. To further test the reliability of the new method and classifier, we compare our results with the results of Chen et al. for ZTF DR2. The classification accuracy is generally above 70%. The period accuracy of the EW and SR variables is ∼50% and 53%, respectively. And the period accuracy of other types of variables is 65%–98%.
Klein–Gordon oscillator with magnetic and quantum flux fields in non-trivial topological space-time
Authors: Ahmed Faizuddin 
Published: November 2022

Abstract
The relativistic quantum motions of the oscillator field (via the Klein–Gordon oscillator equation) under a uniform magnetic field in a topologically non-trivial space-time geometry are analyzed. We solve the Klein–Gordon oscillator equation using the Nikiforov-Uvarov method and obtain the energy profile and the wave function. We discuss the effects of the non-trivial topology and the magnetic field on the energy eigenvalues. We find that the energy eigenvalues depend on the quantum flux field that shows an analogue of the Aharonov–Bohm effect. Furthermore, we obtain the persistent currents, the magnetization, and the magnetic susceptibility at zero temperature in the quantum system defined in a state and show that these magnetic parameters are modified by various factors.
Interactions between heavy quarks and tilted QGP fireballs in 200 A GeV Au+Au collisions*
Authors: Jiang Ze-Fang , Cao Shanshan , Xing Wen-Jing , Li Xiaowen , Zhang Ben-Wei 
Published: November 2022

Abstract
Heavy quark observables are applied to probe the initial energy density distribution with violation of longitudinal boost invariance produced in relativistic heavy-ion collisions. Using an improved Langevin model coupled to a (3+1)-dimensional viscous hydrodynamic model, we study the nuclear modification factor (

) and directed flow (

) and elliptic flow (

) coefficients of heavy mesons and their decayed electrons at an RHIC energy. We find that the counter-clockwise tilt of nuclear matter in the reaction plane results in a positive (negative) heavy flavor

in the backward (forward) rapidity region, whose magnitude increases with the heavy quark transverse momentum. The difference in the heavy flavor

between different angular regions is also proposed as a complementary tool to characterize the asymmetry of the medium profile. Our model results are consistent with currently available data at the RHIC and provide predictions that can be tested by future measurements.
Laparoscopic fundoplication versus laparoscopic Roux-en-Y gastric bypass for gastro-oesophageal reflux disease in obese patients: protocol for a randomized clinical trial
Authors: Frankel Adam , Thomson Iain , Shah Ayesha , Chen Chen , Zahir Syeda Farah , Barbour Andrew , Holtmann Gerald , Mark Smithers B 
Published: November 2022

Abstract

Background
Laparoscopic fundoplication (LF) is the standard surgical procedure for the treatment of gastro-oesophageal reflux disease (GORD). Laparoscopic Roux-en-Y gastric bypass (LRYGB) is commonly performed to achieve weight loss in obese patients, but it also has anti-reflux properties. Hence, in the obese population suffering from GORD, LRYGB could be an alternative to LF. The aim of this trial will be to compare LF and LRYGB in an obese population presenting with GORD and being considered for surgery.

Methods
This will be an investigator-initiated randomized clinical trial. The research population will be obese patients (BMI 30–34.9 with waist circumference more than 88 cm (women) or more than 102 cm (men), or BMI 35–40 with any waist circumference) referred to a public hospital for consideration of anti-reflux surgery. The primary aim of the study will be to determine the efficacy of LF compared with LRYGB on subjective and objective control of GORD. Secondary aims include determining early and late surgical morbidity and the side-effect profile of LF compared with LRYGB and to quantify any non-reflux benefits of LRYGB (including overall quality of life) compared with LF.

Conclusion
This trial will determine whether LRYGB is effective and acceptable as an alternative to LF for the surgical treatment of GORD in obese patients
Registration number: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12622000636752p (https://www.anzctr.org.au/).
Cryptic mutations of PLC family members in brain disorders: recent discoveries and a deep-learning-based approach
Authors: Lim Key-Hwan , Yang Sumin , Kim Sung-Hyun , Ko Euiseong , Kang Mingon , Joo Jae-Yeol 
Published: November 2022

Abstract
Phospholipase C (PLC) is an essential isozyme involved in the phosphoinositide signalling pathway, which maintains cellular homeostasis. Gain- and loss-of-function mutations in PLC affect enzymatic activity and are therefore associated with several disorders. Alternative splicing variants of PLC can interfere with complex signalling networks associated with oncogenic transformation and other diseases, including brain disorders. Cells and tissues with various mutations in PLC contribute different phosphoinositide signalling pathways and disease progression, however, identifying cryptic mutations in PLC remains challenging. Herein, we review both the mechanisms underlying PLC regulation of the phosphoinositide signalling pathway and the genetic variation of PLC in several brain disorders. In addition, we discuss the present challenges associated with the potential of deep-learning-based analysis for the identification of PLC mutations in brain disorders.
Headache classification and automatic biomarker extraction from structural MRIs using deep learning
Authors: Rahman Siddiquee Md Mahfuzur , Shah Jay , Chong Catherine , Nikolova Simona , Dumkrieger Gina , Li Baoxin , Wu Teresa , Schwedt Todd J 
Published: November 2022

AbstractData-driven machine-learning methods on neuroimaging (e.g. MRI) are of great interest for the investigation and classification of neurological diseases. However, traditional machine learning requires domain knowledge to delineate the brain regions first, followed by feature extraction from the regions. Compared with this semi-automated approach, recently developed deep learning methods have advantages since they do not require such prior knowledge; instead, deep learning methods can automatically find features that differentiate MRIs from different cohorts. In the present study, we developed a deep learning-based classification pipeline distinguishing brain MRIs of individuals with one of three types of headaches [migraine (n = 95), acute post-traumatic headache (n = 48) and persistent post-traumatic headache (n = 49)] from those of healthy controls (n = 532) and identified the brain regions that most contributed to each classification task. Our pipeline included: (i) data preprocessing; (ii) binary classification of healthy controls versus headache type using a 3D ResNet-18; and (iii) biomarker extraction from the trained 3D ResNet-18. During the classification at the second step of our pipeline, we resolved two common issues in deep learning methods, limited training data and imbalanced samples from different categories, by incorporating a large public data set and resampling among the headache cohorts. Our method achieved the following classification accuracies when tested on independent test sets: (i) migraine versus healthy controls—75% accuracy, 66.7% sensitivity and 83.3% specificity; (2) acute post-traumatic headache versus healthy controls—75% accuracy, 66.7% sensitivity and 83.3% specificity; and (3) persistent post-traumatic headache versus healthy controls—91.7% accuracy, 100% sensitivity and 83.3% specificity. The most significant biomarkers identified by the classifier for migraine were caudate, caudal anterior cingulate, superior frontal, thalamus and ventral diencephalon. For acute post-traumatic headache, lateral occipital, cuneus, lingual, pericalcarine and superior parietal regions were identified as most significant biomarkers. Finally, for persistent post-traumatic headache, the most significant biomarkers were cerebellum, middle temporal, inferior temporal, inferior parietal and superior parietal. In conclusion, our study shows that the deep learning methods can automatically detect aberrations in the brain regions associated with different headache types. It does not require any human knowledge as input which significantly reduces human effort. It uncovers the great potential of deep learning methods for classification and automatic extraction of brain imaging–based biomarkers for these headache types.
Integrated analysis of proteome-wide and transcriptome-wide association studies identified novel genes and chemicals for vertigo
Authors: Cheng Bolun , Meng Peilin , Yang Xuena , Cheng Shiqiang , Liu Li , Jia Yumeng , Wen Yan , Zhang Feng 
Published: November 2022

Abstract
Vertigo is a leading symptom of various peripheral and central vestibular disorders. Although genome-wide association studies (GWASs) have identified multiple risk variants for vertigo, how these risk variants contribute to the risk of vertigo remains unknown. Discovery proteome-wide association study (PWAS) was first performed by integrating the protein quantitative trait loci from the dorsolateral prefrontal cortex (DLPFC) in the Banner Sun Health Research Institute dataset (n = 152) and GWAS summary of vertigo (n = 942 613), followed by replication PWAS using the protein quantitative trait loci from the DLPFC in Religious Orders Study or the Rush Memory and Aging Project dataset (n = 376). Transcriptome-wide association studies (TWASs) were then performed by integrating the same GWAS datasets of vertigo (n = 942 613) with mRNA expression reference from human fetal brain, and DLPFC. Chemical-related gene set enrichment analysis (GSEA) and Gene ontology/Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were finally conducted to further reveal the pathogenesis of vertigo. Permutation-based empirical P values were calculated in PWAS, TWAS, and GSEA. By integrating the GWAS of vertigo and two independent brain proteomes from human DLPFC, three genes were identified to genetically regulate protein abundance levels in vertigo, and were not previously implicated by GWAS, including MTERFD2 (PBanner = 0.045, PROSMAP = 0.031), MGST1 (PBanner = 0.014, PROSMAP = 0.018), and RAB3B (PBanner = 0.045, PROSMAP = 0.035). Compared with TWAS results, we identified overlapping genes RAB3B (PTWAS = 0.017) and MTERFD2 (PTWAS = 0.003) that showed significant associations with vertigo at both proteome-wide and transcriptome-wide levels. Chemical-related GSEA identified multiple chemicals that might be associated with vertigo, such as nickel (P = 0.007), glycidamide (P = 0.005), and proanthocyanidins (P = 0.015). Our study provides novel clues for understanding the biological mechanism of vertigo, and highlights several possible risks and therapeutic chemicals for vertigo.
An Attack on a Proposed Construction of Small-State Stream Ciphers and Proposals for New Constructions
Authors: Amin-Ghafari Vahid , Ahmadian Attari Mahmoud 
Published: November 2022

Abstract
Small-state stream ciphers (SSCs) idea is based on using key bits not only in the initialization but also continuously in the keystream generation phase. A time-memory-data tradeoff (TMDTO) distinguishing attack was successfully applied against all SSCs in 2017 by Hamann et al. They suggested using not only key bits but also initial value (IV) bits continuously in the keystream generation phase to strengthen SSCs against TMDTO attacks. Then, Hamann and Krause proposed a construction based on using only IV bits continuously in the packet mode. They suggested an instantiation of an SSC and claimed that it is resistant to TMDTO attacks. We point out that accessing IV bits imposes an overhead on cryptosystems that might be unacceptable in some applications. More importantly, we show that the proposed SSC remains vulnerable to TMDTO attacks 1. To resolve this security threat, the current paper proposes constructions based on storing key or IV bits that are the first to provide full security against TMDTO attacks. Five constructions are proposed for different applications by considering efficiency. Designers can obtain each construction’s minimum volatile state length according to the desirable keystream, key and IV lengths.
What acute cardiac care physicians need to know from the latest 2022 ESC Guidelines for ventricular tachycardia and sudden cardiac death
Authors: Goette Andreas , Lip Gregory Y H , Gorenek Bulent 
Published: November 2022

Abstract
The present paper summarizes and comments on the latest 2022 ESC guidelines on ventricular tachycardia and sudden cardiac death. Most relevant recommendations for acute cardiovascular care physicians are addressed, particularly, in the fields of coronary artery disease, dilated cardiomyopathy, and inflammatory diseases. New recommendations encompass the implantation of a defibrillator (ICD) in the setting of acute myocarditis. Furthermore, the pathophysiology of the electrical storm including involved molecular pathways as well as the angry Purkinje fibre syndrome is presented and discussed.
Configuration Poisson Groupoids of Flags
Authors: Lu Jiang-Hua , Mouquin Victor , Yu Shizhuo 
Published: November 2022

AbstractLet $G$ be a connected complex semi-simple Lie group and ${\mathcal {B}}$ its flag variety. For every positive integer $n$, we introduce a Poisson groupoid over ${{\mathcal {B}}}^n$, called the $n$th total configuration Poisson groupoid of flags of $G$, which contains a family of Poisson sub-groupoids whose total spaces are generalized double Bruhat cells and bases generalized Schubert cells in ${\mathcal {B}}^n$. Certain symplectic leaves of these Poisson sub-groupoids are then shown to be symplectic groupoids over generalized Schubert cells. We also give explicit descriptions of symplectic leaves in three series of Poisson varieties associated to $G$.
Forecast of post-overlay flexible pavement roughness progression: a random coefficient linear regression with autocorrelation model
Authors: Xin Chunfu , Yin Hua , Wang Rongchang , Rong Zeyang 
Published: November 2022

Abstract
A pavement roughness progression model is an essential component in a pavement management system. Asphalt overlay is a typical pavement maintenance and rehabilitation (M&R) technique. To schedule asphalt overlay in a timely fashion, the relationship between the asphalt overlay design and post-overlay roughness progression is required. However, due to difficulty in data compilation and model development, the effect of endogenous overlay design and continuous variation of asphalt overlay thickness on post-overlay roughness progression is not documented. This study aims to develop a comprehensive post-overlay flexible pavement roughness model with long-term pavement performance (LTPP) data. The asphalt overlay projects from the LTPP SPS-3, SPS-5, and GPS-6 programs were incorporated for data analysis. A random coefficient linear regression with autocorrelation (RCLRA) model is proposed to simultaneously address endogenous overlay design issue, between-section heterogeneity issues, and within-section serial correlation issues in the post-overlay roughness progression. By addressing the within-section serial correlation, the proposed post-overlay roughness model can reduce the mean absolute percentage error (MAPE) from 21.26 percent to 2.19 percent. The model estimation results provide some new insights into the relationship between post-overlay roughness and asphalt overlay design factors. An endogenous overlay design indicator, continuous variation of asphalt overlay thickness, the relative fatigue cracking area, and severe rutting indicator are first identified to have significant effects on post-overlay roughness progression.
Autonomous driving under V2X environment: state-of-the-art survey and challenges
Authors: Yang Xun , Shi Yunyang , Xing Jiping , Liu Zhiyuan 
Published: November 2022

Abstract
As Vehicle-to-Anything (V2X) is viewed as emerging technology, which could improve the mobility and efficiency of urban traffic operations, and enhance the safety of drivers. Supported by the construction of vehicular network facilities, V2X has been applied to various urban traffic management systems. However, due to the limitation of wireless communication, outstanding issues on privacy and security in V2X applications are still urgent. The purpose of our studies is to provide a comprehensive review of V2X-aided autonomous driving. Firstly the standards and protocols on V2X technologies for mobile communication and high-definition map are provided. The research scenarios of V2X-aided automobiles on urban links and highways are discussed. Furthermore, the several challenges of legislation in different countries, privacy issues, and security are discussed. Finally, the research directions for V2X-aided autonomous driving are further given.
The effects of standardized ileal digestible His to Lys ratio on growth performance, intestinal health, and mobilization of histidine-containing proteins in pigs at 7 to 11 kg body weight
Authors: Cheng Yi-Chi , Lee Hye-lim , Hwang Yunil , Kim Sung Woo 
Published: November 2022

Abstract
The objectives were to evaluate the effects of standardized ileal digestible (SID) His:Lys ratio above the current NRC requirement on growth performance, intestinal health, and mobilization of His-containing proteins, including hemoglobin, carnosine, and trypsinogen, in nursery pigs from 7 to 11 kg body weight (BW). Forty pigs (26 d of age; initial BW of 7.1 ± 0.5 kg) were allotted to 5 dietary treatments based on a randomized complete block design with sex and initial BW as blocks. Dietary treatments were supplemented with varying SID His to Lys ratios of 26%, 32%, 38%, 43%, and 49% and fed to pigs for 14 d (SID Lys = 1.22%). Feed intake and BW were recorded at d 0, 7, and 14 to measure growth performance. Blood samples were collected on d 12. Pigs were euthanized on d 14 to collect pancreas, longissimus dorsi muscles, mid-jejunum, and jejunal mucosa. Data were analyzed using the Proc Mixed of SAS. Growth performance was not affected, whereas varying SID His to Lys ratio affected hemoglobin (P &lt; 0.05, max: 12 g/dL at 36%), immunoglobulin A (IgA, P &lt; 0.05, min: 1.25 μg/mg at 35%) in jejunal mucosa, villus height (P = 0.065, max: 536 μm at 40%) in jejunum, trypsinogen (P = 0.083, max: 242 pg/mg at 41%) in pancreas, and carnosine (P = 0.051, max: 4.7 ng/mg at 38%) in muscles. Varying SID His to Lys ratios linearly increased (P &lt; 0.05, from 1.95 to 2.80 nmol/mg) protein carbonyl in muscles and decreased (P &lt; 0.05, from 29.1% to 26.9%) enterocyte proliferation. In conclusion, SID His to Lys ratio between 35% and 41% in diets fed to nursery pigs at 7 to 11 kg enhanced intestinal health and maximized concentrations of His-containing proteins, indicating that His-containing proteins are effective response criteria when determining His requirement.
Effects of Elevated CO2 on the Fitness Parameters of Individually- and Group-Reared Agasicles hygrophila (Coleoptera: Chrysomelidae)
Authors: Li Jian-Yu , Chen Yan-Ting , Zheng Li-Zhen , Fu Jian-Wei , Shi Meng-Zhu 
Published: November 2022

Abstract
Agasicles hygrophila Selman and Vogt (Coleoptera: Chrysomelidae) is a natural enemy of Alternanthera philoxeroides (Mart.) Griseb (Amaranthaceae: Alternanthera), a worldwide invasive weed. Elevated atmospheric CO2 concentrations may have significant impacts plants, herbivorous insects, and natural enemies. To assess the concurrent effect of elevated CO2 on the development time, fecundity, and population parameters of A. hygrophila, the age-stage, two-sex life table was used to understand the fitness and population parameters of individually-reared and group-reared A. hygrophila under elevated CO2 concentration. In individually-reared population, the development time of preadults, adult pre-oviposition period, and total pre-oviposition period of A. hygrophila in the elevated CO2 (eCO2, 750 ppm) treatment were shorter than those in the ambient CO2 (aCO2, 420 ppm) treatment. In group-reared population, the developmental time of preadults, female adult longevity, female proportion, adult pre-oviposition period, and total pre-oviposition period of A. hygrophila in eCO2 were longer than those in aCO2. Additionally, in both individually-reared and group-reared population, fecundity and oviposition days of A. hygrophila in eCO2 were higher than those in aCO2, and a higher intrinsic rate of increase, finite rate of increase, and the net reproductive rate of A. hygrophila were observed at eCO2. Moreover, shorter preadult development time, adult pre-oviposition period, total pre-oviposition period, male adult longevity, and higher fecundity were found in group-reared cohort at both aCO2 and eCO2. The results indicates that elevated CO2 has effects on the growth and reproduction of A. hygrophila, and the population growth rate of group-reared was faster and produced more offspring.
Fair and Equitable Treatment and Human Rights: A Moral and Legal Reconciliation
Authors: Ratner Steven R 
Published: November 2022

ABSTRACT
A central challenge to the legitimacy of international investment law is its failure to take account of a state’s commitments to its people under international human rights law—duties that stand on a special moral plane. The vortex of this challenge is the fair and equitable treatment standard, where tribunals protect the ‘legitimate expectations’ of investors but disregard these preeminent moral commitments. This article develops a new framework for integrating those commitments into fair and equitable treatment decision-making and treaty-drafting. Deploying an interdisciplinary approach that draws on political philosophy as well as extant law and doctrine, I argue that the current international political morality requires putting human rights on a higher plane than commitments to investors. As a result, tribunals should give great deference to state measures that negatively affect investors if the state justifies them based on its international human rights law obligations and lesser but still significant deference for measures based on encouragements or permissions in international human rights law. It operationalizes this approach for tribunals by recasting the doctrine of legitimate expectations and provides examples of how it would work in specific disputes. This article concludes with suggestions for integrating states’ human rights mandates into future investment agreements.