bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictors of long-term prognosis in rheumatoid arthritis-related interstitial lung disease
Authors: Chen Juan , Chen Yaqiong , Liu Dehao , Lin Yihua , Zhu Lei , Song Shuli , Hu Yudi , Liang Tao , Liu Yongliang , Liu Wei , Weng Lin , Li Qiyuan , Ge Shengxiang , Ascherman Dana P. 
Published: June 2022

AbstractThe aim of the study was to identify specific clinical and serum protein biomarkers that are associated with longitudinal outcome of RA-associated interstitial lung disease (RA-ILD). 60 RA patients with clinical and serological profiles were assessed by HRCT and pulmonary function tests (PFTs) at baseline (Year 0) and 5 years post enrollment (Year 5). Progression versus non-progression was defined based on changes in Quantitative Modified HRCT scores and PFTs over time. Specific serum protein biomarkers were assessed in serum samples at baseline and Year 5 by Multiplex enzyme-linked immunosorbent assays (ELISAs). At Year 5, 32% of patients demonstrated progressive RA-ILD, 35% were stable, and 33% improved. Baseline age and rheumatoid factor (RF) were significantly different between RA-ILD outcomes of progression vs. no-progression (p < 0.05). Changes in levels of CXCL11/I-TAC and MMP13 over 5 years also distinguished pulmonary outcomes (p < 0.05). A final binary logistic regression model revealed that baseline age and changes in serum MMP13 as well as CXCL11/I-TAC were associated with RA-ILD progression at Year 5 (p < 0.01), with an AUC of 0.7772. Collectively, these analyses demonstrated that baseline clinical variables (age, RF) and shifts in levels of selected serum proteins (CXCL11/I-TAC, MMP13) were strongly linked to RA-ILD outcome over time.
Feature-preserving simplification framework for 3D point cloud
Authors: Xu Xueli , Li Kang , Ma Yifei , Geng Guohua , Wang Jingyu , Zhou Mingquan , Cao Xin 
Published: June 2022

AbstractTo obtain a higher simplification rate while retaining geometric features, a simplification framework for the point cloud is proposed. Firstly, multi-angle images of the original point cloud are obtained with a virtual camera. Then, feature lines of each image are extracted by deep neural network. Furthermore, according to the proposed mapping relationship between the acquired 2D feature lines and original point cloud, feature points of the point cloud are extracted automatically. Finally, the simplified point cloud is obtained by fusing feature points and simplified non-feature points. The proposed simplification method is applied to four data sets and compared with the other six algorithms. The experimental results demonstrate that our proposed simplification method has the superiority in terms of both retaining geometric features and high simplification rate.
Accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning
Authors: Im Joon , Kim Ju-Yeong , Yu Hyung-Seog , Lee Kee-Joon , Choi Sung-Hwan , Kim Ji-Hoi , Ahn Hee-Kap , Cha Jung-Yul 
Published: June 2022

AbstractThis study evaluates the accuracy and efficiency of automatic tooth segmentation in digital dental models using deep learning. We developed a dynamic graph convolutional neural network (DGCNN)-based algorithm for automatic tooth segmentation and classification using 516 digital dental models. We segmented 30 digital dental models using three methods for comparison: (1) automatic tooth segmentation (AS) using the DGCNN-based algorithm from LaonSetup software, (2) landmark-based tooth segmentation (LS) using OrthoAnalyzer software, and (3) tooth designation and segmentation (DS) using Autolign software. We evaluated the segmentation success rate, mesiodistal (MD) width, clinical crown height (CCH), and segmentation time. For the AS, LS, and DS, the tooth segmentation success rates were 97.26%, 97.14%, and 87.86%, respectively (p < 0.001, post-hoc; AS, LS > DS), the means of MD widths were 8.51, 8.28, and 8.63 mm, respectively (p < 0.001, post hoc; DS > AS > LS), the means of CCHs were 7.58, 7.65, and 7.52 mm, respectively (p < 0.001, post-hoc; LS > DS, AS), and the means of segmentation times were 57.73, 424.17, and 150.73 s, respectively (p < 0.001, post-hoc; AS < DS < LS). Automatic tooth segmentation of a digital dental model using deep learning showed high segmentation success rate, accuracy, and efficiency; thus, it can be used for orthodontic diagnosis and appliance fabrication.
Phoenixin-14 alters transcriptome and steroid profiles in female green-spotted puffer (Dichotomyctere nigroviridis)
Authors: Breton Timothy S. , Murray Casey A. , Huff Sierra R. , Phaneuf Anyssa M. , Tripp Bethany M. , Patuel Sarah J. , Martyniuk Christopher J. , DiMaggio Matthew A. 
Published: June 2022

AbstractPhoenixin (PNX) is a highly conserved, novel hormone with diverse functions, including hypothalamic control of reproduction, appetite modulation, and regulation of energy metabolism and inflammation. While some functions appear conserved across vertebrates, additional research is required to fully characterize these complex pleiotropic effects. For instance, very little is known about transcriptome level changes associated with PNX exposure, including responses in the hypothalamic–pituitary–gonadal (HPG) axis, which is critical in vertebrate reproduction. In addition, the PNX system may be especially complex in fish, where an additional receptor is likely present in some species. The purpose of this study was to assess hypothalamic and ovarian transcriptomes after PNX-14 administration in female vitellogenic green-spotted puffer (Dichotomyctere nigroviridis). Steroid-related changes were also assessed in the liver and blood plasma. Hypothalamic responses included pro-inflammatory signals such as interleukin 1β, possibly related to gut–brain axis functions, as well as suppression of cell proliferation. Ovarian responses were more widely downregulated across all identified pathways, which may reflect progression to a less transcriptionally active state in oocytes. Both organs shared regulation in transforming growth factor-β and extracellular matrix remodeling (periostin) pathways. Reproductive processes were in general downregulated, but both inhibiting (bone morphogenetic protein 15 and follistatin) and promoting (17-hydroxyprogesterone) factors for oocyte maturation were identified. Select genes involved in reproduction (vitellogenins, estrogen receptors) in the liver were unresponsive to PNX-14 and higher doses may be needed to induce reproductive effects in D. nigroviridis. These results reinforce the complexity of PNX actions in diverse tissues and highlight important roles for this hormone in regulating the immune response, energy metabolism, and cell growth.
A miniaturised mono‐cone antenna with top plate and composite lumped loading
Authors: Zhang Dongliang , Wu Qi 
Published: June 2022

AbstractA wideband mono‐cone antenna is proposed. Evolution from a top‐loaded mono‐cone, the top plate is etched by two rings and loaded by an array of resistors and inductors. This design improves impedance matching properties in the low frequency range while maintaining a compact size. An equivalent circuit modal is built for assisting the antenna design. A prototype is fabricated and measured for verification. The antenna operates in the frequency band of 118–1100 MHz with |S11|≤‐10 dB and the fluctuation of omni‐directional radiation pattern ≤ 2.5 dB. The occupied area of the antenna is 0.24 λL × 0.24 λL × 0.06 λL, which is attractive for use on aircraft.
Empfehlungen der S3-Leitlinie (AWMF) Einsatz der extrakorporalen
Zirkulation (ECLS/ECMO) bei Herz- und Kreislaufversagen
Authors: Assmann Alexander , Beckmann Andreas , Schmid Christof , Werdan Karl , Michels Guido , Miera Oliver , Schmidt Florian , Klotz Stefan , Starck Christoph , Pilarczyk Kevin , Rastan Ardawan , Burckhardt Marion , Nothacker Monika , Muellenbach Ralf , Zausig York , Haake Nils , Groesdonk Heinrich , Ferrari Markus , Buerke Michael , Hennersdorf Marcus , Rosenberg Mark , Schaible Thomas , Köditz Harald , Kluge Stefan , Janssens Uwe , Lubnow Matthias , Flemmer Andreas , Herber-Jonat Susanne , Wessel Lucas , Buchwald Dirk , Maier Sven , Krüger Lars , Fründ Andreas , Jaksties Rolf , Fischer Stefan , Wiebe Karsten , Hartog Christiane , Dzemali Omer , Zimpfer Daniel , Ruttmann-Ulmer Elfriede , Schlensak Christian , Ensminger Stephan , Kelm Malte , Boeken Udo 
Published: June 2022

ZusammenfassungIn den vergangenen Jahren hat der Einsatz mechanischer Unterstützungssysteme für
Patienten mit Herz- und Kreislaufversagen kontinuierlich zugenommen, sodass in
Deutschland mittlerweile jährlich etwa 3000 ECLS/ECMO-Systeme implantiert
werden. Vor dem Hintergrund bislang fehlender umfassender Leitlinien bestand ein
dringlicher Bedarf an der Formulierung evidenzbasierter Empfehlungen zu den
zentralen Aspekten der ECLS/ECMO-Therapie.Im Juli 2015 wurde daher die Erstellung einer S3-Leitlinie durch die Deutsche
Gesellschaft für Thorax-, Herz- und Gefäßchirurgie (DGTHG) bei der zuständigen
Arbeitsgemeinschaft der Wissenschaftlichen Medizinischen Fachgesellschaften
e. V. (AWMF) angemeldet. In einem strukturierten Konsensusprozess mit Einbindung
von Experten aus Deutschland, Österreich und der Schweiz, delegiert aus 11
AWMF-Fachgesellschaften, 5 weiteren Fachgesellschaften sowie der
Patientenvertretung, entstand unter Federführung der DGTHG die Leitlinie
„Einsatz der extrakorporalen Zirkulation (ECLS/ECMO) bei Herz- und
Kreislaufversagen“, die im Februar 2021 publiziert wurde.Die Leitlinie fokussiert auf klinische Aspekte der Initiierung, Fortführung,
Entwöhnung und Nachsorge und adressiert hierbei auch strukturelle und
ökonomische Fragestellungen. Dieser Artikel präsentiert eine Übersicht zu der
Methodik und den konsentierten Empfehlungen.
Effectiveness of School-Based Video-Assisted Health Education Program on Mosquito-Borne Disease among Upper Primary Children
Authors: Dsouza Renita Priya , Rodrigues Devina E , Saldanha Prakash M 
Published: June 2022

Abstract
Introduction Malaria and dengue fever are the two major mosquito-borne diseases (MBD) seen in India and these diseases are endemic in many of the Indian states. Educating the public is one of the effective ways to prevent any diseases and school children act as health messengers to their family members. Video-assisted teaching methods help the children to understand the concept better and grasp it easily. The aim of the study was to assess the effectiveness of school-based video-assisted health education on knowledge regarding MBD.
Materials and Methods The study design used was cross-sectional one group pre- and posttest design. Ninety-five children studying in 6th and 7th standard of two higher primary schools located in a rural area of southern India have participated in the study. The knowledge level of the children was assessed using a structured knowledge questionnaire before and after the video-assisted health education program. Children were educated using PowerPoints and videos in three sessions on various aspects of MBD.
Statistical Analysis Data was analyzed using a statistical software, SPSS-23. Descriptive and inferential statistics were used to analyze the data.
Results The mean score was 23.58 ± 7.08 in the pretest and the posttest mean score was 53.01 ± 3.90. The minimum score was 13 in the pretest and in the posttest it was 44 with a maximum possible score of 60. Intervention was effective and led to 49.05% of gain in knowledge of children from pretest to the posttest and the difference in the mean value was statistically significant (t = 36.58, p < 0.001).
Conclusion Even though children had the knowledge on MBD, it was not adequate and video-assisted health education was useful to improve their knowledge. More consistent efforts are needed to educate the children on different health issues using various sense stimulating teaching aids to help them develop into healthy future generation.
Dashboard Design to Identify and Balance Competing Risk of Multiple Hospital-Acquired Conditions
Authors: Makic Mary Beth Flynn , Stevens Kathleen R. , Gritz R. Mark , Wald Heidi , Ouellet Judith , Morrow Cynthia Drake , Rodrick David , Reeder Blaine 
Published: June 2022

AbstractBackground Hospital-acquired conditions (HACs) are common, costly, and national patient safety priority. Catheter-associated urinary tract infections (CAUTIs), hospital-acquired pressure injury (HAPI), and falls are common HACs. Clinicians assess each HAC risk independent of other conditions. Prevention strategies often focus on the reduction of a single HAC rather than considering how actions to prevent one condition could have unintended consequences for another HAC.Objectives The objective of this study is to design an empirical framework to identify, assess, and quantify the risks of multiple HACs (MHACs) related to competing single-HAC interventions.Methods This study was an Institutional Review Board approved, and the proof of concept study evaluated MHAC Competing Risk Dashboard to enhance clinicians' management combining the risks of CAUTI, HAPI, and falls. The empirical model informing this study focused on the removal of an indwelling urinary catheter to reduce CAUTI, which may impact HAPI and falls. A multisite database was developed to understand and quantify competing risks of HACs; a predictive model dashboard was designed and clinical utility of a high-fidelity dashboard was qualitatively tested. Five hospital systems provided data for the predictive model prototype; three served as sites for testing and feedback on the dashboard design and usefulness. The participatory study design involved think-aloud methods as the clinician explored the dashboard. Individual interviews provided an understanding of clinician's perspective regarding ease of use and utility.Results Twenty-five clinicians were interviewed. Clinicians favored a dashboard gauge design composed of green, yellow, and red segments to depict MHAC risk associated with the removal of an indwelling urinary catheter to reduce CAUTI and possible adverse effects on HAPI and falls.Conclusion Participants endorsed the utility of a visual dashboard guiding clinical decisions for MHAC risks preferring common stoplight color understanding. Clinicians did not want mandatory alerts for tool integration into the electronic health record. More research is needed to understand MHAC and tools to guide clinician decisions.
Cognitive Behavioral Therapy: Principles, Science, and Patient Selection in Neurology
Authors: Carson Alan J. , McWhirter Laura 
Published: June 2022

AbstractCognitive behavioral therapy (CBT) is a widely used therapeutic modality in general psychiatric practice. In this review, we consider its application to neurological disorders. We examine the basic framework of CBT—that symptoms, emotions, thoughts, and behaviors are all interrelated and that therapeutic interventions that lead to change in thoughts or behavior may have the potential to reduce symptoms or emotional distress. We also outline specific methodological issues to consider when reading or planning studies of CBT interventions, highlighting important topics pertaining to quality control, control group selection, dropouts, and generalizability. We then review the evidence base for CBT's use across a range of neurological disorders. In doing so, we highlight where there is a clear evidence base, and where it is a technique with potential. The review is targeted at a general neurology audience as introduction to the topic not as an advanced guide for expert practitioners.
The use of boosters and evidentials in British campaign debates on the Brexit referendum
Authors: Carrió-Pastor María Luisa , Albalat-Mascarell Ana 
Published: June 2022

AbstractLittle attention has been given to the role of metadiscoursal devices in non-academic discourses with an overtly persuasive component such as political discourse. We address this gap by analysing the presence and function of evidentials and boosters in the 2016 campaign debates on the United Kingdom European Union membership referendum (also known as the Brexit referendum). In this vein, our objectives are first, to analyse the evidentials and boosters most frequently used in these debates and relate them to the speakers’ goals, and second, to contrast the use of these devices with the results of the referendum. Data were quantitatively analysed with METOOL, a tool specifically developed to detect metadiscoursal strategies. The results showed how the strategies identified here tended to work in combination towards the representation of a credible self, challenging opposing views on the same issue. Finally, conclusions were drawn.
On a generalization of the Hörmander condition
Authors: Suzuki Soichiro 
Published: June 2022

We consider a natural generalization of the classical Hörmander condition in the Calderón–Zygmund theory. Recently the author [J. Fourier Anal. Appl. 27 (2021)] proved the

L
p

L^p

boundedness of singular integral operators under the

L
1

L^1

mean Hörmander condition, which was originally introduced by Grafakos and Stockdale [Bull. Hellenic Math. Soc. 63 (2019), pp. 54–63]. In this paper, we show that the

L
1

L^1

mean condition actually coincides with the classical one. On the other hand, we introduce a new variant of the Hörmander condition, which is strictly weaker than the classical one but still enough for the

L
p

L^p

boundedness. Moreover, it still works in the non-doubling setting with a little modification.
RNAsolo: a repository of cleaned PDB-derived RNA 3D structures
Authors: Adamczyk Bartosz , Antczak Maciej , Szachniuk Marta 
Published: June 2022

AbstractMotivationThe development of algorithms dedicated to RNA three-dimensional (3D) structures contributes to the demand for training, testing and benchmarking data. A reliable source of such data derived from computational prediction is the RNA-Puzzles repository. In contrast, the largest resource with experimentally determined structures is the Protein Data Bank. However, files in this archive often contain other molecular data in addition to the RNA structure itself, which—to be used by RNA processing algorithms—should be removed.ResultsRNAsolo is a self-updating database dedicated to RNA bioinformatics. It systematically collects experimentally determined RNA 3D structures stored in the PDB, cleans them from non-RNA chains, and groups them into equivalence classes. It allows users to download various subsets of data—clustered by resolution, source, data format, etc.—for further processing and analysis with a single click.Availability and implementationThe repository is publicly available at https://rnasolo.cs.put.poznan.pl.
Cancer Stem Cells and Cell Cycle Genes as Independent Predictors of Relapse in Non-small Cell Lung Cancer: Secondary Analysis of a Prospective Study
Authors: Masciale Valentina , Banchelli Federico , Grisendi Giulia , D’Amico Roberto , Maiorana Antonino , Stefani Alessandro , Morandi Uliano , Stella Franco , Dominici Massimo , Aramini Beatrice 
Published: June 2022

AbstractPurposeCancer stem cells (CSCs) are described as resistant to chemotherapy and radiotherapy. It has been shown that CSCs influence disease-free survival in patients undergoing surgery for lung cancer (NCT04634630). We recently described an overexpression of CSCs recurrence-related genes (RG) in lung cancer. This study aims to investigate CSC frequency and RG expression as predictors of disease-free survival in lung cancer.Experimental DesignThis secondary analysis of a prospective cohort study involved 22 surgical tumor specimens from 22 patients harboring early (I-II) and locally advanced (IIIA) stages ACL and SCCL. Cell population frequency analysis of ALDHhigh (CSCs) and ALDHlow (cancer cells) was performed on each tumor specimen. In addition, RG expression was assessed for 31 target genes separately in ALDHhigh and ALDHlow populations. CSCs frequency and RG expression were assessed as predictors of disease-free survival by Cox analysis.ResultsCSCs frequency and RG expression were independent predictors of disease-free survival. CSC frequency was not related to disease-free survival in early-stage patients (HR = 0.84, 95%CI = 0.53-1.33, P = .454), whereas it was a risk factor for locally advanced-stage patients (HR = 1.22, 95%CI = 1.09-1.35, P = .000). RG expression—if measured in CSCs—was related to a higher risk of recurrence (HR = 1.19, 95%CI = 1.03-1.39, P = .021). The effect of RG expression measured in cancer cells on disease-free survival was lower and was not statistically significant (HR = 1.12, 95%CI = 0.94-1.33, P = .196).ConclusionsCSCs frequency and RG expression are independent predictors of relapse in lung cancer. Considering these results, CSCs and RG may be considered for both target therapy and prognosis.
Indoor Air Pollution and Respiratory Health in a Metropolitan City of Pakistan
Authors: Rabbani Unaib , Razzaq Shama , Irfan Muhammad , Semple Sean , Nafees Asaad Ahmed 
Published: June 2022

Objective
We assessed the association of formaldehyde, carbon monoxide (CO), and particulate matter (PM2.5) with respiratory symptoms, asthma, and post-bronchodilator reversibility.

Methods
We included 1629 adults in a community-based cross-sectional study in Karachi in 2015. Data were collected using the American Thoracic Society respiratory questionnaire and spirometry (available for 930 participants). YesAir eight-channel monitor was used for measuring concentrations of formaldehyde and CO, whereas PM2.5 was measured using UCB PATS.

Results
Higher levels of formaldehyde and CO were associated with cough, phlegm, and wheeze, whereas those of PM2.5 were associated with shortness of breath and presence of any of the respiratory symptoms (combined), as well as a “lower” risk of cough, phlegm, and bronchitis.

Conclusion
Poorer household air quality was associated with poorer respiratory health in this population; however, further studies with a robust exposure assessment are required.