bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adjuvant chemotherapy in pathological node-negative non-small cell lung cancer
Authors: Cheng Ya-Fu , Chen Yi-Ling , Liu Chia-Chi , Lin Ching-Min , Tong Shao-Syuan , Wang Bing-Yen 
Published: November 2023

AbstractNon–small cell lung cancer (NSCLC) is associated with a poor survival rate, even for patients with early-stage cancer. Identifying patients with pathological N0 NSCLC who may benefit from adjuvant chemotherapy treatment after surgery is essential. We conducted a retrospective cohort study used data from the Surveillance, Epidemiology, and End Results database and included 26,380 patients with pathological N0 NSCLC after surgery between January 2018, and December 2019. Among 26,380 patients, 24,273 patients received surgery alone and the other 2107 patients received surgery plus adjuvant chemotherapy. After 1:1 propensity score matching, both groups contained 2107 patients. Adjuvant chemotherapy did not show significantly better 24-month survival in T2aN0 NSCLC patients (83.41% vs. 82.91%, p = 0.067), although it did for T2bN0 patients (86.36% vs. 81.70%, p = 0.028). Poorly-differentiated NSCLC remained a high-risk factor for pT2N0, and adjuvant chemotherapy provided better 24-month survival after matching (86.36% vs. 81.70%, p = 0.029). In conclusion, when treating pN0 NSCLC, adjuvant chemotherapy had a beneficial effect when the tumor size was larger than 4 cm. The effect when the tumor size was between 3 and 4 cm was not remarkable. Poorly-differentiated NSCLC was a high-risk factor in the pT2N0 stage.
Comparing corneal biomechanic changes among solo cataract surgery, microhook ab interno trabeculotomy and iStent implantation
Authors: Aoki Shuichiro , Asaoka Ryo , Fujino Yuri , Nakakura Shunsuke , Murata Hiroshi , Kiuchi Yoshiaki 
Published: November 2023

AbstractMinimally invasive glaucoma surgery has expanded the surgical treatment options in glaucoma, particularly when combined with cataract surgery. It is clinically relevant to understand the associated postoperative changes in biomechanical properties because they are influential on the measurement of intraocular pressure (IOP) and play an important role in the pathogenesis of open-angle glaucoma (OAG). This retrospective case–control study included OAG patients who underwent cataract surgery combined with microhook ab interno trabeculotomy (µLOT group: 53 eyes of 36 patients) or iStent implantation (iStent group: 59 eyes of 37 patients) and 62 eyes of 42 solo cataract patients without glaucoma as a control group. Changes in ten biomechanical parameters measured with the Ocular Response Analyzer and Corneal Visualization Scheimpflug Technology (Corvis ST) at 3 and 6 months postoperatively relative to baseline were compared among the 3 groups. In all the groups, IOP significantly decreased postoperatively. In the µLOT and control groups, significant changes in Corvis ST-related parameters, including stiffness parameter A1 and stress‒strain index, indicated that the cornea became softer postoperatively. In contrast, these parameters were unchanged in the iStent group. Apart from IOP reduction, the results show variations in corneal biomechanical changes from minimally invasive glaucoma surgery combined with cataract surgery.
Support vector data description with kernel density estimation (SVDD-KDE) control chart for network intrusion monitoring
Authors: Ahsan Muhammad , Khusna Hidayatul , Wibawati  , Lee Muhammad Hisyam 
Published: November 2023

AbstractMultivariate control charts have been applied in many sectors. One of the sectors that employ this method is network intrusion detection. However, the issue arises when the conventional control chart faces difficulty monitoring the network-traffic data that do not follow a normal distribution as required. Consequently, more false alarms will be found when inspecting network traffic data. To settle this problem, support vector data description (SVDD) is suggested. The control chart based on the SVDD distance can be applied for the non-normal distribution, even the unknown distributions. Kernel density estimation (KDE) is the nonparametric approach that can be applied in estimating the control limit of the non-parametric control charts. Based on these facts, a multivariate chart based on the integrated SVDD and KDE (SVDD-KDE) is proposed to monitor the network's anomaly. Simulation using the synthetic dataset is performed to examine the performance of the SVDD-KDE chart in detecting multivariate data shifts and outliers. Based on the simulation results, the proposed method produces better performance in detecting shifts and higher accuracy in detecting outliers. Further, the proposed method is applied in the intrusion detection system (IDS) to monitor network attacks. The NSL-KDD data is analyzed as the benchmark dataset. A comparison between the SVDD-KDE chart with the other IDS-based-control chart and the machine learning algorithms is executed. Although the it has high computational cost, the results show that the IDS based on the SVDD-KDE chart produces a high accuracy at 0.917 and AUC at 0.915 with a low false positive rate compared to several algorithms.
Functional connectivity uniqueness and variability? Linkages with cognitive and psychiatric problems in children
Authors: Fu Zening , Liu Jingyu , Salman Mustafa S. , Sui Jing , Calhoun Vince D. 
Published: November 2023

AbstractBrain functional connectivity (FC) derived from functional magnetic resonance imaging has been serving as a potential ‘fingerprint’ for adults. However, cross-scan variation of FC can be substantial and carries biological information, especially during childhood. Here we performed a large-scale cross-sectional analysis on cross-scan FC stability and its associations with a diverse range of health measures in children. Functional network connectivity (FNC) was extracted via a hybrid independent component analysis framework on 9,071 participants and compared across four scans. We found that FNC can identify a given child from a large group with high accuracy (maximum >94%) and replicated the results across multiple scans. We then performed a linear mixed-effects model to investigate how cross-scan FNC stability was predictive of children’s behaviour. Although we could not find strong relationships between FNC stability and children’s behaviour, we observed significant but small associations between them (maximumr = 0.1070), with higher stability correlated with better cognitive performance, longer sleep duration and less psychotic expression. Via a multivariate analysis method, we captured larger effects between FNC stability and children’s cognitive performance (maximumr = 0.2932), which further proved the relevance of FNC stability to neurocognitive development. Overall, our findings show that a child’s connectivity profile is not only intrinsic but also exhibits reliable variability across scans, regardless of brain growth and development. Cross-scan connectivity stability may serve as a valuable neuroimaging feature to draw inferences on early cognitive and psychiatric behaviours in children.
The UMIST Database for Astrochemistry 2022
Authors: Millar T. J. , Walsh C. , Van de Sande M. , Markwick A. J. 
Published: November 2023

Context. Detailed astrochemical models are a key component to interpret the observations of interstellar and circumstellar molecules since they allow important physical properties of the gas and its evolutionary history to be deduced.
Aims. We update one of the most widely used astrochemical databases to reflect advances in experimental and theoretical estimates of rate coefficients and to respond to the large increase in the number of molecules detected in space since our last release in 2013.
Methods. We present the sixth release of the UMIST Database for Astrochemistry (UDfA), a major expansion of the gas-phase chemistry that describes the synthesis of interstellar and circumstellar molecules. Since our last release, we have undertaken a major review of the literature which has increased the number of reactions by over 40% to a total of 8767 and increased the number of species by over 55% to 737. We have made a particular attempt to include many of the new species detected in space over the past decade, including those from the QUIJOTE and GOTHAM surveys, as well as providing references to the original data sources.
Results. We use the database to investigate the gas-phase chemistries appropriate to both O-rich and C-rich conditions in TMC-1 and to the circumstellar envelope of the C-rich AGB star IRC+10216 and identify successes and failures of gas-phase only models.
Conclusions. This update is a significant improvement to the UDfA database. For both the dark cloud and C-rich circumstellar envelope models, calculations match around 60% of the abundances of observed species to within an order of magnitude. There are a number of detected species, however, that are not included in the model either because their gas-phase chemistry is unknown or because they are likely formed via surface reactions on icy grains. Future laboratory and theoretical work is needed to include such species in reaction networks.
MUSE observations of the giant low surface brightness galaxy Malin 1: Numerous HII regions, star formation rate, metallicity, and dust attenuation
Authors: Junais  , Weilbacher P. M. , Epinat B. , Boissier S. , Galaz G. , Johnston E. J. , Puzia T. H. , Amram P. , Małek K. 
Published: November 2023

Context. Giant low surface brightness (GLSB) galaxies are an extreme class of objects with very faint and extended gas-rich disks. Malin 1 is the largest GLSB galaxy known to date and one of the largest individual spiral galaxies observed so far, but the properties and formation mechanisms of its giant disk are still poorly understood.
Aims. We used VLT/MUSE IFU spectroscopic observations of Malin 1 to measure the star formation rate (SFR), dust attenuation, and gas metallicity within this intriguing galaxy.
Methods. We performed a penalized pixel fitting modeling to extract emission line fluxes such as Hα, Hβ, [N II]6583 and [O III]5007 along the central region as well as from the extended disk of Malin 1.
Results. Our observations reveal for the first time strong Hα emission distributed across numerous regions throughout the extended disk of Malin 1. The emission extends to radial distances of ∼100 kpc, which indicates recent star formation activity. We made an estimate of the dust attenuation in the disk of Malin 1 using the Balmer decrement and found that Malin 1 has a mean Hα attenuation of 0.36 mag. We observe a steep decline in the radial distribution of the SFR surface density (ΣSFR) within the inner 20 kpc, followed by a shallow decline in the extended disk. We estimated the gas phase metallicity in Malin 1. We also found for the first time that the metallicity shows a steep gradient from solar metallicity to subsolar values in the inner 20 kpc of the galaxy, followed by a flattening of the metallicity in the extended disk with a relatively high value of ∼0.6 Z⊙. We found that the normalized abundance gradient of the inner disk of Malin 1 is similar to the values found in normal galaxies. However, the normalized gradient observed in the outer disk can be considered extreme when compared to other disk galaxies. A comparison of the SFR surface density and gas surface density shows that unlike normal disk galaxies or other low surface brightness galaxies, the outer disk of Malin 1 exhibits a relatively low star formation efficiency based on atomic gas-mass estimates, which may be mildly exacerbated by the vanishing upper molecular gas-mass limits found by recent CO studies.
Conclusions. With the detection of emission lines in a large part of the extended disk of Malin 1, this work sheds light on the star formation processes in this unique galaxy, highlighting its extended star-forming disk, dust attenuation, almost flat metallicity distribution in the outer disk, and exceptionally low star formation efficiency. Together with previous results, our findings contribute to a more detailed understanding of the formation of the giant disk of Malin 1, and they also constrain possible proposed scenarios of the nature of GLSB galaxies in general.
Study of the optical to X-ray broad emission lines of Mrk 110
Authors: Juráňová A. , Costantini E. , Di Gesu L. , Ebrero J. , Kaastra J. , Korista K. , Kriss G. A. , Mehdipour M. , Piconcelli E. , Rogantini D. 
Published: November 2023

Aims. In order to shed light on the characteristics of the broad line region (BLR) in a narrow-line Seyfert 1 galaxy, we present an analysis of X-ray, UV, and optical spectroscopic observations of the broad emission lines in Mrk 110.
Methods. For the broad-band modelling of the emission-line luminosity, we adopt the “locally optimally emitting cloud” approach, which allows us to place constraints on the gas radial and density distribution. By exploring additional environmental effects, we investigate the possible scenarios resulting in the observed spectra.
Results. We find that the photoionised gas in Mrk 110 responsible for the UV emission can fully account for the observed low-ionisation X-ray lines. The overall ionisation of the gas is lower, and one radial power-law distribution with a high integrated covering fraction Cf ≈ 0.5 provides an acceptable description of the emission lines spanning from X-rays to the optical band. The BLR is likely more compact than the broad-line Seyfert 1s studied so far, extending from ∼1016 to ∼1018 cm, and limited by the dust sublimation radius at the outer edge. Despite the large colour excess predicted by the Balmer ratio, the best fit suggests E(B − V)≈0.03 for both the ionising luminosity and the BLR, indicating that extinction might be uniform over a range of viewing angles. While the adopted data-modelling technique does not allow us to place constraints on the geometry of the BLR, we show that the addition of models with a clumpy, equatorial, wind-like structure may lead to a better description of the observed spectra.
Double Aneuploidy of Down Syndrome (Trisomy 21) and Jacobs Syndrome (Trisomy XYY) with Complete Tracheal Rings Deformity: Case Report and Literature Review
Authors: Adeleke Omoloro , Elmufti Hussein , Zhang Jie , Jagadesan Bhuvaneshwari , Harsono Mimily 
Published: November 2023

AbstractDown syndrome (DS, trisomy 21) with an extra copy of chromosome 21 is one of the most common aneuploidies in humans. Jacobs syndrome or XYY syndrome (trisomy XYY) with an extra copy of sex chromosome Y is a rare sex chromosome trisomy in males. Double aneuploidy (DA) with an extra copy of chromosome 21 and sex chromosome Y is an extremely rare occurrence. Most trisomy 21 results from nondisjunction during maternal oocyte meiosis-I, whereas trisomy XYY is results from nondisjunction during paternal spermatocyte meiosis-I. We present a case of natural conception premature newborn of 30.4 weeks gestational age who had a DS facial phenotype with extensive syndactyly on both hands and feet. Other multisystem congenital anomalies were discovered, including mal-aligned perimembranous ventricular septal defect, bicuspid aortic valve, Dandy–Walker malformation's tetra-ventriculomegaly, and a rare complete tracheal rings deformity (CTRD) with trachea stenosis. Prenatal amniocentesis and postnatal chromosomal karyotyping analysis detected 48, XYY, + 21 nontranslocation trisomy 21, and free-lying Y chromosome without translocation. The existence of DA is rarely reported in literature reviews. In this review, we will discuss the characteristics of DS and Jacobs syndrome as well as the associated multiorgan malformation including the rare lethal CTRD.
Mobile social media as a vehicle of health communication: a multimodal discourse analysis of WeChat official account posts during the COVID-19 crisis
Authors: Wu Ying Qi , Gong Jiankun 
Published: November 2023

AbstractThe utilization of mobile communication can significantly enhance the availability and accessibility of public health information. To this end, various mobile social media platforms are recognized as multimodal discourses that can serve as powerful instruments in disseminating health-related information to a wider audience, thereby allowing for greater reach and improved health outcomes. This study retrospectively examined Malaysia’s third wave of COVID-19 to decipher the visual representation of this epidemiological crisis on mobile social media. A qualitative research approach was utilized, underpinned by the visual framing concept of Coleman (2010) and the visual actor-network of van Leeuwen (2008), to analyze 280 images from a popular and Chinese WeChat official account called Weimalaysia. The analysis revealed that visuals on this WeChat official account highlight specific contents and features of COVID-19 in Malaysia during the third wave. However, no visual misinformation regarding intolerance elements was identified. The initial findings of this study demonstrate the importance of visuals as a crucial resource in public health communication. Additionally, the results underscore the significance of WeChat official accounts as a novel mobile social media platform for conveying health-related information during the public health crisis.
A small global village: the effects of collectivist, tight and Confucian cultures on the spread of COVID-19
Authors: Liu Ming , Wu Haomin , Lin Bingxuan , Zhang Jingxia 
Published: November 2023

AbstractWhile previous studies have emphasised several important factors associated with the spread of COVID-19 and strategies to reduce transmission, few studies have focused on the social and cultural factors that may influence its spread. This study analyses the spread of COVID-19 from a cross-country/region cultural perspective and finds that countries and regions with a collectivistic, Confucian or tight (restrictive) culture experience a lower spread rate of COVID-19. The results are robust to controlling for several factors, including population, age structure, gross domestic product (GDP) per capita, previous SARS occurrence, smoking prevalence, and religion. A one standard deviation increase in the collectivism score is associated with a 1.38% reduction of the weekly growth rate of COVID-19 cases. More importantly, the effect of culture on the spread of COVID-19 becomes stronger during national or regional lockdowns. Corroborating these main results, supporting analyses find a significant effect of culture on national and regional COVID-19 death rates. These findings suggest that to manage the ongoing surges in COVID-19 outbreaks, governments should implement public health policies that emphasise the ideas of common interest, personal responsibility and strong cultural norms, and sense of community, as this pandemic has revealed that people all live together in a small global village.
Why did Korea, Japan & Taiwan have so few deaths? I see face-covering and the Confucian idea of common good as key. –Michael Levitt, the Nobel Prize Laureate (2020)
Gaussian approximation potentials: Theory, software implementation and application examples
Authors: Klawohn Sascha , Darby James P. , Kermode James R. , Csányi Gábor , Caro Miguel A. , Bartók Albert P. 
Published: November 2023

Gaussian Approximation Potentials (GAPs) are a class of Machine Learned Interatomic Potentials routinely used to model materials and molecular systems on the atomic scale. The software implementation provides the means for both fitting models using ab initio data and using the resulting potentials in atomic simulations. Details of the GAP theory, algorithms and software are presented, together with detailed usage examples to help new and existing users. We review some recent developments to the GAP framework, including Message Passing Interface parallelisation of the fitting code enabling its use on thousands of central processing unit cores and compression of descriptors to eliminate the poor scaling with the number of different chemical elements.
Transcriptome analysis showed the metabolic pathway of differentially expressed genes (DEGs) in resistant and susceptible soybean (Glycine max) to sclerotinia stem rot (SSR) and candidate gene mining
Authors: Sun Dongming , Li Ruiqiong , Ma Jinglin , Qu Shuo , Yuan Ming , Yang Zhenhong , Zhou Changjun , Xu Junrong , Zhan Yuhang , Zhao Xue , Han Yingpeng , Teng Weili 
Published: November 2023

Context Sclerotinia stem rot (SSR) is one of the diseases that seriously affect soybean yield, leading to heavy losses all over the world. A well-known SSR resistant variety is ‘Maple Arrow’. Aims In this study, transcriptome sequencing analysis of resistant variety ‘Maple Arrow’ and susceptible variety ‘Hefeng25’ was conducted to understand the resistance mechanism of resistant and susceptible soybean varieties to SSR and to look for candidate genes. Methods RNA sequencing of Maple Arrow and Hefeng25 generated 75.09 GB and 64.97 GB clean readings, respectively. In total, 417 differentially expressed genes (DEGs) were found among the different comparable groups. Gene ontology enrichment, Kyoto Encyclopedia of Genes and Genomes analysis and haplotype analysis were performed for genes with different expression levels in Maple Arrow and Hefeng25. Key results It was found that DEGs from Maple Arrow and Hefeng25 were involved in the regulation of ‘oxidation–reduction process’, ‘regulation of transcription’, ‘amino acid metabolism’, ‘methylation’ and ‘membrane’, ‘integral component of membrane’ and ‘epidermal growth-factor receptor substrate 15’. In total, 31 haplotypes of 12 genes were screened out with significant or extremely significant differences among soybeans with different levels of SSR resistance. Conclusions These genes may be involved in the relevant pathways of soybean sclerotiniose. Implications To provide excellent gene resources for further disease-resistance breeding.
Tuning of the magneto-caloric effects in Ni43Mn46In11 magnetic shape memory alloys by substitution of boron
Authors: Saritaş Senem , Çiçek Mert Miraç , Kavak Eyup , Gurpinar Kubra , Yildirim Oğuz , Yuce Suheyla , Atakol Orhan , Emre Baris 
Published: November 2023

Abstract
In this study, we report the structural, magnetic, and magnetocaloric properties of B substitution on the Mn site in Ni43Mn46−x
B
x
In11(x = 0.5, 1.0) Heusler alloys. Crystal structure analysis using room-temperature x-ray diffraction data reveals both samples have mixed phases composed of cubic and tetragonal phases. The structural and magnetic phase transition characteristic temperatures are determined using differential scanning calorimetry, isothermal magnetization (MT), and isofield magnetization (MH) measurements. Both alloys exhibit inverse and direct magnetocaloric effects in the vicinity of their magnetostructural transition and Curie temperature (T
C), respectively. For Ni43Mn45.0B1.0In11 a maximum magnetic entropy change of 25.06 J kg−1 K−1 is observed at 250 K for a magnetic field change of 5 T.
Edge detection for 3D point clouds via locally max-angular gaps descriptor
Authors: Ma Feifan , Zhang Yan , Chen Jintao , Qu Chengzhi , Huang Kun 
Published: November 2023

Abstract
Numerous point-cloud-based applications, including surface reconstruction and completion, greatly benefit from the utilization of edge features, which play a crucial role in structuring the target shape. Nevertheless, the current limitations of point cloud edge detection techniques in effectiveness and efficiency have motivated us to develop a more robust 3D edge detection method. In this paper, we introduce a simple yet effective descriptor for evaluating the edge level of 3D point clouds. This descriptor is defined as the variance of the max-angular gaps between the target point and its

k

nearest neighboring points. Leveraging this descriptor, we further propose a multiscale feature fusion strategy that well detect the edge features for the target point cloud. Experimental results demonstrate the superiority of our method over other comparison methods in terms of effectiveness and stability in preserving point cloud edges. Moreover, we investigate the applications of our method in point cloud simplification and registration to provide additional insights into its potential use in some point-cloud-based downstream tasks.