cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
LUX Electron Beam Diagnostics
Creators: name: Winkler, Paul Viktor
name: Werle, Christian
name: Maier, Andreas Martin
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: The 5th annual meeting of the LAOLA collaboration, Wismar, University of Hamburg, Germany, 21 Jun 2016 - 22 Jun 2016 ; (2016).
description: The first phase of the LUX experiment is set up and ready for its next mile stone: Plasma accelerated electrons. We present an overview of electron beam diagnostics currently installed at LUX, including the electron spectrometer and a thin LYSO scintillator screen for transverse beam profile imaging.
Joint representation of consistent structural and functional profiles for identification of common cortical landmarks
Creators: name: Zhao, Yu
name: Jiang, Xi
name: Liu, Tianming
name: Zhang, Shu
name: Shen, Dinggang
Publisher: name: Springer Nature
Year: 2017

description: In the brain mapping field, there have been significant interests in representation of structural/functional profiles to establish structural/functional landmark correspondences across individuals and populations. For example, from the structural perspective, our previous studies have identified hundreds of consistent DICCCOL (dense individualized and common connectivity-based cortical landmarks) landmarks across individuals and populations, each of which possess consistent DTI-derived fiber connection patterns. From the functional perspective, a large collection of well-characterized HAFNI (holistic atlases of functional networks and interactions) networks based on sparse representation of whole-brain fMRI signals have been identified in our prior studies. However, due to the remarkable variability of structural and functional architectures in the human brain, it is challenging for earlier studies to jointly represent the connectome-scale structural and functional profiles for establishing a common cortical architecture which can comprehensively encode both structural and functional characteristics across individuals. To address this challenge, we propose an effective computational framework to jointly represent the structural and functional profiles for identification of consistent and common cortical landmarks with both structural and functional correspondences across different brains based on DTI and fMRI data. Experimental results demonstrate that 55 structurally and functionally common cortical landmarks can be successfully identified.
Upgrades of the Experimental Setup for Electron Beam Self-modulation Studies at PITZ.
Creators: name: Gross, Matthias
name: Engel, Johannes
name: Koss, G.
name: Lishilin, Osip
name: Loisch, G.
name: Pathak, G.
name: Philipp, S.
name: Schütze, R.
name: Stephan, F.
name: Brinkmann, R.
name: Osterhoff, J.
name: Grüner, F.
name: Richter, D.
name: Schroeder, C.
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: 7th International Particle Accelerator Conference, Busan, Korea, 8 May 2016 - 13 May 2016 ; (2016).
description: The  self-modulation  instability is fundamental for the plasma wakefield acceleration experiment of the AWAKE collaboration at CERN where this effect is supposed to be used to generate proton bunches short enough for producing high acceleration fields. For ease of experimentation it was decided to set up a supporting  experiment at the electron accelerator PITZ (Photo Injector Test facility at DESY, Zeuthen site), given that the underlying physics  is  the  same.  The  goals are to demonstrate  and investigate  in  detail  the  self-modulation of long electron  beams. In 2015 a first set of experiments was conducted utilizing  as key elements a novel cross-shaped lithium plasma cell and an ArF excimer laser for plasma generation. No self-modulation  was observed yet because of various experimental  shortcomings.  The properties of the experimental setup were studied in detail and in this  contribution we report about the upgrades which are projected to enable the observation of the self-modulation in the upcoming experimental run.
Status of LAOLA@PITZ
Creators: name: Gross, Matthias
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: Laboratory for Laser- and beam-driven plasma Acceleration workshop, LAOLA 2016, Wismar, Germany, 21 Jun 2016 - 22 Jun 2016 ; (2016).
Revilla_et_al_Online_Supplement - Testing the Use of Voice Input in a Smartphone Web Survey
Creators: name: Revilla, Melanie
name: Couper, Mick P.
name: Bosch, Oriol J.
name: Asensio, Marc
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Science Policy
subject: Sociology
subject: FOS: Sociology

description: Revilla_et_al_Online_Supplement for Testing the Use of Voice Input in a Smartphone Web Survey by Melanie Revilla, Mick P. Couper, Oriol J. Bosch, and Marc Asensio in Social Science Computer Review
Preparations for High Transformer Ratio PWFA Experiments at PITZ
Creators: name: Loisch, Gregor
name: Engel, Johannes
name: Gross, M.
name: Huck, H.
name: Oppelt, A.
name: Philipp, S.
name: Renier, Y.
name: Stephan, F.
name: Aschikhin, A.
name: Martinez De La Ossa, A.
name: Osterhoff, J.
name: Hochberg, M.
name: Sack, M.
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: Laboratory for Laser- and beam-driven plasma Acceleration workshop, LAOLA 2016, Wismar, Germany, 21 Jun 2016 - 22 Jun 2016 ; (2016).
Singh_Table_1_Final – Supplemental material for Autism Disparities: A Systematic Review and Meta-Ethnography of Qualitative Research
Creators: name: Singh, Jennifer S.
name: Bunyak, Garrett
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Singh_Table_1_Final for Autism Disparities: A Systematic Review and Meta-Ethnography of Qualitative Research by Jennifer S. Singh and Garrett Bunyak in Qualitative Health Research
Knee and hip osteoarthritis as predictors of premature death: a review of the evidence.
Creators: name: Cleveland, Rebecca J
name: Callahan, Leigh F
name: Nelson, Amanda E
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2019

description: Rheumatic and musculoskeletal diseases (RMDs) are common, with osteoarthritis (OA) being the most prevalent. RMDs, including OA, are associated with significant pain and functional limitations, as well as mortality rates up to 1.6-fold higher than in the general population. Most studies of OA and mortality have focused on knee and hip OA. Some, but not all, of these studies suggest an increased risk of death, however risks may differ by region. Reasons for discordant findings may be due to methodological considerations including definition of OA, study design, length of follow-up, and whether variables that can change and develop over time, such as measures of OA, body mass index (BMI) and comorbidities, were re-assessed during the follow-up period. Research has shown that the prognosis of OA is similar to that seen in rheumatoid arthritis (RA) patients, in many respects. In RA, disability and comorbidities are the most important predictors of mortality, although pain may be more prominent in the prognosis of OA mortality. The data suggest that addressing functional limitations and pain seen with OA could potentially reduce the increased mortality that has been observed in these individuals. Further study is needed concerning the potential excess mortality attributable to lower body OA, as well as associated disability, pain and comorbidities.
Supplemental material for A GEE-type approach to untangle structural and random zeros in predictors
Creators: name: Ye, Peng
name: Tang, Wan
name: He, Jiang
name: He, Hua
Publisher: name: SAGE Journals
Year: 2018
Subjects: Health and Community Services
Nursing not elsewhere classified
Sociological Methodology and Research Methods

description: Supplemental Material for A GEE-type approach to untangle structural and random zeros in predictors by Peng Ye, Wan Tang, Jiang He and Hua He in Statistical Methods in Medical Research
Technical updates for the next generation lithium plasma cell at PITZ
Creators: name: Philipp, S.
name: Koss, G.
name: Gross, M.
name: Lishilin, O.
name: Engel, Johannes
name: Richter, D.
name: Schütze, R.
name: Stephan, F.
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: Laboratory for Laser- and beam-driven plasma Acceleration workshop, LAOLA 2016, Wismar, Germany, 21 Jun 2016 - 22 Jun 2016 ; (2016).
Effectiveness of vero cell inactivated vaccine against severe acute respiratory infections (SARI) in Sibu, Malaysia: A retrospective test-negative design
Creators: name: Toh, Teck-Hock
name: Qi, Yang-Yang
name: Yong, Sook-Min
name: Lee, Jeffrey Soon-Yit
name: Liyana, Nur Fatin
name: See, Raymond Yon-Han
name: Teh, Jo-Hun
name: Toh, Aw-Zien
name: Naing, Lin
name: Dahian, Kamilah
name: Liew, Jun-Wei
name: Mose, Caisha Nivenia
name: Yong, Malvina Zi-Qing
name: Ling, Ngiik-Jing
name: Chua, Diana Wang-Sing
name: Ling, Wee-Wei
name: Thirunavukkarasu, Nanthakumar
name: Suhaili, Mohd Raili
name: Xia, Jie-Lai
name: Clemens, John
name: Wang, Xuan-Yi
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: The effectiveness of the vero cell inactivated vaccine (CoronaVac®) against severe acute respiratory infection (‎SARI)‎ caused by SARS-CoV-2 in the real world was assessed. A matched test-negative case-control design was employed using the web-based national information system, as well as the hospitalization dataset in Sibu Hospital. Vaccine effectiveness was measured by conditional logistic regression with adjustment for gender, underlying comorbidity, smoking status, and education level. Between 15 March and 30 September 2021, 838 eligible SARI patients were identified from the hospitalization records. Vaccine effectiveness was 42.4% (95% confidence interval [CI]: −28.3 to 74.1) for partial vaccination (after receiving the first dose to 14 days after receiving the second dose), and 76.5% (95% CI: 45.6 to 89.8) for complete vaccination (at 15 days or more after receiving the second dose). This analysis indicated that two doses of CoronaVac® vaccine provided efficacious protection against SARI caused by SARS-CoV-2 in the short term. However, the duration of protection, and performance against new variants need to be studied continuously.
Structure-based design of oligomeric receptor-binding domain (RBD) recombinant proteins as potent vaccine candidates against SARS-CoV-2
Creators: name: Zhang, Ting
name: Zheng, Ningchen
name: Wang, Zhirong
name: Xu, Xuemei
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: The receptor-binding domain (RBD) of SARS-CoV-2 S protein is proved to be the major target of neutralizing antibodies. However, on the S protein, only a portion of epitopes in RBD can be effectively displayed with dynamic changes in spatial conformations. Using RBD fragment as antigen can better expose the neutralizing epitopes, but the immunogenicity of RBD monomer is suboptimal. Multimeric display of RBD molecules is a feasible strategy to optimize RBD-based vaccines. In this study, RBD single-chain dimer derived from Wuhan-Hu-1 was fused with a trimerization motif, and a cysteine was also introduced at the C-terminus. The resultant recombinant protein 2RBDpLC was expressed in Sf9 cells using a baculovirus expression system. Reducing/non-reducing PAGE, size-exclusion chromatography and in silico structure prediction indicated that 2RBDpLC polymerized and possibly formed RBD dodecamers through trimerization motif and intermolecular disulfide bonds. In mice, 2RBDpLC induced higher levels of RBD-specific and neutralizing antibody responses than RBD dimer, RBD trimer and prefusion-stabilized S protein (S2P). In addition, cross-neutralizing antibodies against Delta and Omicron VOC were also detected in the immune sera. Our results demonstrate that 2RBDpLC is a promising vaccine candidate, and the method of constructing dodecamers may be an effective strategy for designing RBD-based vaccines.
DS_10.1177_0363546518810750 – Supplemental material for Coping With Anterior Cruciate Ligament Injury From Childhood to Maturation: A Prospective Case Series of 44 Patients With Mean 8 Years’ Follow-up
Creators: name: Ekås, Guri Ranum
name: Moksnes, Håvard
name: Grindem, Hege
name: Risberg, May Arna
name: Engebretsen, Lars
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery

description: Supplemental material, DS_10.1177_0363546518810750 for Coping With Anterior Cruciate Ligament Injury From Childhood to Maturation: A Prospective Case Series of 44 Patients With Mean 8 Years’ Follow-up by Guri Ranum Ekås, Håvard Moksnes, Hege Grindem, May Arna Risberg and Lars Engebretsen in The American Journal of Sports Medicine
Additional file 2 of Black men’s awareness of peripheral artery disease and acceptability of screening in barbershops: a qualitative analysis
Creators: name: Coy, Tyler
name: Brinza, Ellen
name: DeLozier, Sarah
name: Gornik, Heather L.
name: Webel, Allison R.
name: Longenecker, Christopher T.
name: White Solaru, Khendi T.
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 2. HyPe The Cure Final Adjudicated Codebook and Definitions.
Low-Cost Double Curvature: Geometrical and Structural Potentials of Rectangular, Cold-Bent Glass Construction
Creators: name: Eversmann, Philipp
name: Schling, Eike
name: Ihde, André
name: Louter, Christian
Publisher: name: Madrid, Spain : IASS
Year: 2016
Subjects: subject: glass
subject: cold-bending
subject: FE-analysis
subject: particle-spring model
subject: optimization
subject: Konferenzschrift
subject: Dewey Decimal Classification::700 | Künste, Bildende Kunst allgemein::720 | Architektur

description: The realization of doubly curved façades often requires large investments in fabrication equipment and produces additional waste through subtractive fabrication processes and non-reusable molds. In glass construction, elastic bending techniques can be used for small curvatures. This paper continues previous research of the authors on bending rectangular glass elements into irregularly curved panels. First, we analyze the stresses occurring in cold bent glass during assembly, thus defining a particlespring model which is able to compute approximate stresses in real-time during the bending procedure. In a second step, we compare the structural performance of the bent glass with that of flat panels using FE-analysis. Finally, we illustrate the implementations on multi-panel façade layouts. We analyze the dependencies between curvature, gap-tolerance and panelization. We present a method to minimize gap-tolerances by optimizing the distribution of surface curvature. Our results highlight the structural and geometrical potentials and possible applications for curved glass construction.
D-Nets on rotational surfaces : Equilibrium gridshell layout, symmetric to the principal stress directions
Creators: name: Schling, Eike
name: Schikore, Jonas
name: Oberbichler, Thomas
Publisher: name: Madrid, Spain : IASS
Year: 2021
Subjects: subject: Gridshells
subject: Isogeometric Analysis
subject: Topology Optimization
subject: Force Equilibrium
subject: Principal Stress Directions
subject: Konferenzschrift
subject: Dewey Decimal Classification::700 | Künste, Bildende Kunst allgemein::720 | Architektur

description: This paper presents a novel topology for gridshells symmetric to the principal stress directions. This diagonal layout (D-Net) allows to distribute forces evenly across neighbouring members and create equilibrium states for compression- (or tension-) only gridshells, through its orthotropic behaviour. We derive a formula for the D-Net directions and present a computational workflow to calculate their paths on NURBS surfaces under given loads and supports. The workflow is conducted using isogeometric analysis (IGA) that continuously evaluates the stress field over the smooth geometry. In this initial investigation, we focus on rotational surfaces for compression-only and mixed (compression and tension) gridshells. The results are verified with a series of archetypical design shapes and Finite Element analysis. We compare the structural behaviour of three gridshells, equilateral, principal-stress and D-Net, evaluating the holistic load-bearing behaviour under four load-cases. Finally, we discuss the practical challenges for D-Net design and its potential for architecture. The research gives a holistic assessment of theory, design and structural behaviour, and opens the doors to a novel topology for gridshell design, that naturally follows the flow of forces.
Coverage of primary and booster vaccination against COVID-19 by socioeconomic level: A nationwide cross-sectional registry study
Creators: name: Hansen, Bo T.
name: Labberton, Angela S.
name: Kour, Prabhjot
name: Kraft, Kristian B.
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: High and equitable COVID-19 vaccination coverage is important for pandemic control and prevention of health inequity. However, little is known about socioeconomic correlates of booster vaccination coverage. In this cross-sectional study of all Norwegian adults in the national vaccination program (N = 4,190,655), we use individual-level registry data to examine coverage by levels of household income and education of primary (≥2 doses) and booster (≥3 doses) vaccination against COVID-19. We stratify the analyses by age groups with different booster recommendations and report relative risk ratios (RR) for vaccination by 25 August 2022. In the 18–44 y group, individuals with highest vs. lowest education had 94% vs. 79% primary coverage (adjusted RR (adjRR) 1.15, 95%CI 1.14–1.15) and 67% vs. 38% booster coverage (adjRR 1.55, 95% CI 1.55–1.56), while individuals with highest vs. lowest income had 94% vs. 81% primary coverage (adjRR 1.10, 95%CI 1.10–1.10) and 60% vs. 43% booster coverage (adjRR 1.23, 95%CI 1.22–1.24). In the ≥45 y group, individuals with highest vs. lowest education had 96% vs. 92% primary coverage (adjRR 1.02, 95%CI 1.02–1.02) and 88% vs. 80% booster coverage (adjRR 1.09, 95%CI 1.09–1.09), while individuals with highest vs. lowest income had 98% vs. 82% primary coverage (adjRR 1.16, 95%CI 1.16–1.16) and 92% vs. 64% booster coverage (adjRR 1.33, 95%CI 1.33–1.34). In conclusion, we document large socioeconomic inequalities in COVID-19 vaccination coverage, especially for booster vaccination, even though all vaccination was free-of-charge. The results highlight the need to tailor information and to target underserved groups for booster vaccination.
Supplemental material for Bargaining success in the reform of the Eurozone
Creators: name: Lundgren, Magnus
name: Bailer, Stefanie
name: Dellmuth, Lisa M
name: Tallberg, Jonas
name: Târlea, Silvana
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120505 Regional Analysis and Development
subject: FOS: Social and economic geography

description: Supplemental Material for Bargaining success in the reform of the Eurozone by Magnus Lundgren, Stefanie Bailer, Lisa M Dellmuth, Jonas Tallberg and Silvana Târlea in European Union Politics
A Novel Long Non-Coding RNA Transcript Regulates The Fate of Colon Cancer Initiation
Creators: name: Di Cecilia, Serena
Publisher: name: Università degli Studi di Napoli Federico II
Year: 2015

description: Cancer Initiating cells are a small population of cancer cells capable of tumor initiation and growth. Characteristic of these cells are the expression of “stem-like” markers and the common alteration of the Wnt/β-catenin and Notch pathways. In my thesis, I characterized Colon Cancer Initiating Cells (CCICs) by FACS analysis from HT-29 colon cancer cell line. I then performed in vitro colonospheres-forming assay and RNA-Seq, to interrogate the genome-wide signature involving CCICs. My results show that members of Wnt/β-catenin pathway are elevated in CCICs and colonospheres, when compared to a more differentiated population. Moreover, genes directing the differentiation were silenced in CCICs and colonospheres. These results demonstrate the self-renewal and proliferation capacity of the isolated CCICs population, and that this subpopulation resembles a strong Wnt-signaling pathway signature. Additionally, several lncRNAs are dys-regulated in CCICs, and my findings identify LUST/RBM5-AS1 as a lncRNA transcript strongly elevated during colonospheres formation. The expression of LUST and stem-like markers CD24 and CD44, and expression of Wnt-signaling corresponds with cells that can survive and grow in serum-free media. Loss of LUST impairs Wnt-signaling at mRNA and protein levels, while LUST overexpression provides enhanced and synergistic signaling mediated through Wnt and β-catenin at the mRNA and protein levels. Nuclear/Cytoplasmic RNA fractionation and RNA-FISH show that LUST essentially is a nuclear transcript. RNA immuno-precipitation and UV cross-linking immuno-precipitation assays show that LUST RNA binds to β-catenin. Finally, LUST overexpression enhances colonospheres formation more rapidly. Collectively, my findings reveal that the lncRNA LUST regulates Wnt pathway in CCICs through a coordinated physical interaction with β-catenin, acting through transcriptional regulation to promote colon cancer initiating cells maintenance.
KimSupplementalMaterial – Supplemental material for Self–Other Agreement in Personality Reports: A Meta-Analytic Comparison of Self- and Informant-Report Means
Creators: name: Kim, Hyunji
name: Di Domenico, Stefano I.
name: Connelly, Brian S.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Psychology not elsewhere classified
subject: Psychiatry (incl. Psychotherapy)
subject: Neuroscience

description: Supplemental material, KimSupplementalMaterial for Self–Other Agreement in Personality Reports: A Meta-Analytic Comparison of Self- and Informant-Report Means by Hyunji Kim, Stefano I. Di Domenico and Brian S. Connelly in Psychological Science
Landmark-based deep multi-instance learning for brain disease diagnosis
Creators: name: Adeli, Ehsan
name: Shen, Dinggang
name: Zhang, Jun
name: Liu, Mingxia
Publisher: name: Elsevier
Year: 2017

description: In conventional Magnetic Resonance (MR) image based methods, two stages are often involved to capture brain structural information for disease diagnosis, i.e., 1) manually partitioning each MR image into a number of regions-of-interest (ROIs), and 2) extracting pre-defined features from each ROI for diagnosis with a certain classifier. However, these pre-defined features often limit the performance of the diagnosis, due to challenges in 1) defining the ROIs and 2) extracting effective disease-related features. In this paper, we propose a landmark-based deep multi-instance learning (LDMIL) framework for brain disease diagnosis. Specifically, we first adopt a data-driven learning approach to discover disease-related anatomical landmarks in the brain MR images, along with their nearby image patches. Then, our LDMIL framework learns an end-to-end MR image classifier for capturing both the local structural information conveyed by image patches located by landmarks and the global structural information derived from all detected landmarks. We have evaluated our proposed framework on 1526 subjects from three public datasets (i.e., ADNI-1, ADNI-2, and MIRIAD), and the experimental results show that our framework can achieve superior performance over state-of-the-art approaches.
Development of an algorithm for finding pertussis episodes in a population-based electronic health record database
Creators: name: Daluwatte, Chathuri
name: Dvaretskaya, Maryia
name: Ekhtiari, Sam
name: Hayat, Paul
name: Montmerle, Martin
name: Mathur, Sachin
name: Macina, Denis
Publisher: name: Taylor & Francis
Year: 2023
Subjects: Medicine
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Science Policy
Computational Biology

description: While tetanus-diphtheria-acellular pertussis (Tdap) vaccines for adolescents and adults were licensed in 2005 and immunization strategies proposed, the burden of pertussis in this population remains under-recognized mainly due to atypical disease presentation, undermining efforts to optimize protection through vaccination. We developed a machine learning algorithm to identify undiagnosed/misdiagnosed pertussis episodes in patients diagnosed with acute respiratory disease (ARD) using signs, diseases and symptoms from clinician notes and demographic information within electronic health-care records (Optum Humedica repository [2007–2019]). We used two patient cohorts aged ≥11 years to develop the model: a positive pertussis cohort (4,515 episodes in 4,316 patients) and a negative pertussis (ARD) cohort (4,573,445 episodes and patients), defined using ICD 9/10 codes. To improve contrast between positive pertussis and negative pertussis (ARD) episodes, only episodes with ≥7 symptoms were selected. LightGBM was used as the machine learning model for pertussis episode identification. Model validity was determined using laboratory-confirmed pertussis positive and negative cohorts. Model explainability was obtained using the Shapley additive explanations method. The predictive performance was as follows: area under the precision–recall curve, 0.24 (SD, 7 × 10−3); recall, 0.72 (SD, 4 × 10−3); precision, 0.012 (SD, 1 × 10−3); and specificity, 0.94 (SD, 7 × 10−3). The model applied to laboratory-confirmed positive and negative pertussis episodes had a specificity of 0.846. Predictive probability for pertussis increased with presence of whooping cough, whoop, and post-tussive vomiting in clinician notes, but decreased with gastrointestinal bleeding, sepsis, pulmonary symptoms, and fever. In conclusion, machine learning can help identify pertussis episodes among those diagnosed with ARD.
Additional file 4 of Developmental disorders among Norwegian-born children with immigrant parents
Creators: name: TM, Hansen
name: S, Qureshi
name: A, Gele
name: LJ, Hauge
name: GP, Biele
name: P, Surén
name: M, Kjøllesdal
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Biotechnology
Cancer
Mental Health

description: Additional file 4: Table S1. ICD-10 codes included per diagnostic category. Table S2. Developmental disorder diagnoses given before the age of 6 in secondary/tertiary health care (N (%)) and between 2008 and 2018 among children born in Norway between 2006 and 2017 with two Norwegian-born parents, two immigrant parents and one immigrant parent (mother/father). Table S3. Mean age (year, SD) at diagnosis of developmental disorders given between 2008 and 2018 among children born in Norway between 2006 and 2017.
Latent Variable GIMME Using Model Implied Instrumental Variables (MIIVs)
Creators: name: Bollen, Kenneth A.
name: Gates, Kathleen M.
name: Fisher, Zachary F.
Publisher: name: American Psychological Association (APA)
Year: 2020

description: Researchers across many domains of psychology increasingly wish to arrive at personalized and generalizable dynamic models of individuals' processes. This is seen in psychophysiological, behavioral, and emotional research paradigms, across a range of data types. Errors of measurement are inherent in most data. For this reason, researchers typically gather multiple indicators of the same latent construct and use methods, such as factor analysis, to arrive at scores from these indices. In addition to accurately measuring individuals, researchers also need to find the model that best describes the relations among the latent constructs. Most currently available data-driven searches do not include latent variables. We present an approach that builds from the strong foundations of group iterative multiple model estimation (GIMME), the idiographic filter, and model implied instrumental variables with two-stage least squares estimation (MIIV-2SLS) to provide researchers with the option to include latent variables in their data-driven model searches. The resulting approach is called latent variable GIMME (LV-GIMME). GIMME is utilized for the data-driven search for relations that exist among latent variables. Unlike other approaches such as the idiographic filter, LV-GIMME does not require that the latent variable model to be constant across individuals. This requirement is loosened by utilizing MIIV-2SLS for estimation. Simulated data studies demonstrate that the method can reliably detect relations among latent constructs, and that latent constructs provide more power to detect effects than using observed variables directly. We use empirical data examples drawn from functional MRI and daily self-report data.
Additional file 3 of Black men’s awareness of peripheral artery disease and acceptability of screening in barbershops: a qualitative analysis
Creators: name: Coy, Tyler
name: Brinza, Ellen
name: DeLozier, Sarah
name: Gornik, Heather L.
name: Webel, Allison R.
name: Longenecker, Christopher T.
name: White Solaru, Khendi T.
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 3. HyPe The Cure Participant Community Needs Index (CNI)* Score by Zip Code.
Volevo essere Rock Hudson: perché la cura deve superare la soglia di casa
Creators: name: Isetti, Giulia
Publisher: name: Eurac Research
Year: 2025

description: Rock Hudson era l’incarnazione del marito perfetto nel cinema hollywoodiano degli anni ‘50 e ‘60: affascinante, di successo e sempre proiettato verso le opportunità del mondo esterno. Ma mentre lui si lasciava la porta di casa alle spalle, il lavoro di cura delle sue mogli cinematografiche restava nell’ombra. Nella vita reale, più di mezzo secolo dopo, per molte donne è ancora così.
Supplemental Material2 - Supplemental material for The effect of rapamycin treatment on cerebral ischemia: A systematic review and meta-analysis of animal model studies
Creators: name: Beard, Daniel J
name: Hadley, Gina
name: Thurley, Neal
name: Howells, David W
name: Sutherland, Brad A
name: Buchan, Alastair M
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Cardiology
subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material, Supplemental Material2 for The effect of rapamycin treatment on cerebral ischemia: A systematic review and meta-analysis of animal model studies by Daniel J Beard, Gina Hadley, Neal Thurley, David W Howells, Brad A Sutherland and Alastair M Buchan in International Journal of Stroke
Impaired antibody response to inactivated COVID-19 vaccines in hospitalized patients with type 2 diabetes
Creators: name: Zhou, Xiaoying
name: Lu, Huixia
name: Sang, Miaomiao
name: Qiu, Shanhu
name: Yuan, Yang
name: Wu, Tongzhi
name: Chen, Junhao
name: Sun, Zilin
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Patients with type 2 diabetes (T2D) are at an increased risk of morbidity and mortality of coronavirus disease 2019 (COVID-19). Data on the antibody response to COVID-19 vaccines in T2D patients are less studied. This study aimed to evaluate IgG antibody response to inactivated COVID-19 vaccines in hospitalized T2D patients. Hospitalized patients with no history of COVID-19 and received two doses of inactivated COVID-19 vaccines (Sinopharm or CoronaVac) were included in this study from March to October 2021. SARS-CoV-2 specific IgG antibodies were measured 14–60 days after the second vaccine dose. A total of 209 participants, 96 with T2D and 113 non-diabetes patients, were included. The positive rate and median titer of IgG antibody against receptor-binding domain (anti-RBD) of spike (S) protein of SARS-CoV-2 in T2D group were lower than in control group (67.7% vs 83.2%, p = .009; 12.93 vs 17.42 AU/ml, p = .014) respectively. Similarly, seropositivity and median titers of IgG antibody against the nucleocapsid (N) and S proteins of SARS-CoV-2 (anti-N/S) in T2D group were lower than in control group (68.8% vs 83.2%, p = .032; 18.81 vs 29.57 AU/mL, p = .012) respectively. After adjustment for age, sex, BMI, vaccine type, days after the second vaccine dose, hypertension, kidney disease, and heart disease, T2D was identified as an independent risk factor for negative anti-RBD and anti-N/S seropositivity, odd ratio 0.42 (95% confidence interval 0.19, 0.89) and 0.42 (95% CI 0.20, 0.91), respectively. T2D is associated with impaired antibody response to inactivated COVID-19 vaccine.
High Average RF Power Tests With 2 RF Vacuum Windows at PITZ
Creators: name: Renier, Yves
name: Asova, G.
name: Bakr, M. A.
name: Boonpornprasert, P.
name: Good, J. D.
name: Groß, M.
name: Hernandez-Garcia, C.
name: Huck, H.
name: Isaev, I. I.
name: Kalantaryan, D. K.
name: Krasilnikov, M.
name: Lishilin, O.
name: Loisch, G.
name: Malyutin, D.
name: Melkumyan, D.
name: Oppelt, A.
name: Otevřel, M.
name: Pathak, G.
name: Rublack, T.
name: Rybakov, I. V.
name: Stephan, F.
name: Vashchenko, G.
name: Zhao, Q. T.
name: Bousonville, M.
name: Choroba, S.
name: Lederer, S.
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: 7th International Particle Accelerator Conference, Busan, Korea, 8 May 2016 - 13 May 2016 ; (2016).
description: The Photo Injector Test facility at DESY, Zeuthen site (PITZ), was built with the aim to develop and characterize electron sources for future usage at FLASH and at the European XFEL. Recently, the main focus at PITZ has been the study of gun reliability and photoinjector performance at high average  power. The goal is to get stable and reliable operation with 6.4 MW peak power in the gun at 650 μs RF pulse length and 10 Hzrepetition rate.  To achieve this, a new RF feed system with two RF windows was installed at PITZ in 2014.  During this test, the old gun 4.2 with a modified back-plane design for better cathode contact has been used.  In this contribution the results of the RF conditioning of gun 4.2 with a detailed interlock analysis will be reported as well as results from recent electron beam characterization.
Breast_Cancer_in_Gh_-_Suppl_file_2__-_Table_1b – Supplemental material for Understanding the causes of breast cancer treatment delays at a teaching hospital in Ghana
Creators: name: Olutobi A Sanuade
name: Ayettey, Hannah
name: Hewlett, Sandra
name: Dedey, Florence
name: Wu, Lily
name: Titilola Akingbola
name: Gbenga Ogedegbe
name: Ama De-Graft Aikins
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, Breast_Cancer_in_Gh_-_Suppl_file_2__-_Table_1b for Understanding the causes of breast cancer treatment delays at a teaching hospital in Ghana by Olutobi A Sanuade, Hannah Ayettey, Sandra Hewlett, Florence Dedey, Lily Wu, Titilola Akingbola, Gbenga Ogedegbe and Ama de-Graft Aikins in Journal of Health Psychology
ChimeraTK: A Toolkit for Modular Control Applications
Creators: name: Killenberg, M.
name: Heuer, M.
name: Hierholzer, Martin Christoph
name: Petrosyan, L.
name: Schmidt, Christian
name: Shehzad, N.
name: Kozak, T.
name: Varghese, G.
name: Viti, M.
name: Predki, P.
name: Wychowaniak (Łódz University Of Technology, J.
name: Dworzanski, A.
name: Czuba, K.
name: Marsching, Sebastian
name: Piotrowski, Adam
Publisher: name: Deutsches Elektronen-Synchrotron, DESY, Hamburg
Year: 2016

description: The 11th International Workshop on Personal Computers and Particle Accelerator Controls, PCaPAC 2016, Campinas, Brazil, 25 Oct 2016 - 28 Oct 2016 ; (2016).
description: The DESY ChimeraTK (formerly called MTCA4U) is a collection of C++ libraries which facilitate the development of control applications. Special importance has been placed on abstraction from communication layers to simplify writing applications in heterogenous environments or reusing applications in a different facility. Access to hardware is realised with the deviceaccess library through an extensible register-based interface. Starting from PCI Express (e.g. used inside MicroTCA.4 crates) a growing number of backends allow to communicate also through network protocols and even access other control applications. Features like register name mapping and automatic type conversion make the software robust against firmware and hardware changes. The control system adapter allows to write applications which can be used in different SCADA systems such as DOOCS, EPICS or OPC-UA with little to no changes in the source code. We give an update on status of the toolkit and present new features which have recently been implemented or are currently being developed.
Supplementary_material_1_control_topic_guide – Supplemental material for The Push and Pull of Self-Managing Mild COPD: An Evaluation of Participant Experiences of a Nurse-Led Telephone Health Coaching Intervention
Creators: name: Coventry, Peter A.
name: Blakemore, Amy
name: Baker, Elizabeth
name: Manbinder Sidhu
name: Fitzmaurice, David
name: Jolly, Kate
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Supplementary_material_1_control_topic_guide for The Push and Pull of Self-Managing Mild COPD: An Evaluation of Participant Experiences of a Nurse-Led Telephone Health Coaching Intervention by Peter A. Coventry, Amy Blakemore, Elizabeth Baker, Manbinder Sidhu, David Fitzmaurice and Kate Jolly in Qualitative Health Research
Learning MRI artefact removal with unpaired data
Creators: name: Shen, Dinggang
name: Thung, Kim-Han
name: Qu, Liangqiong
name: Liu, Siyuan
name: Lin, Weili
name: Yap, Pew-Thian
Publisher: name: Springer Nature
Year: 2021

description: Retrospective artefact correction (RAC) improves image quality post acquisition and enhances image usability. Recent machine-learning-driven techniques for RAC are predominantly based on supervised learning, so practical utility can be limited as data with paired artefact-free and artefact-corrupted images are typically insufficient or even non-existent. Here we show that unwanted image artefacts can be disentangled and removed from an image via an RAC neural network learned with unpaired data. This implies that our method does not require matching artefact-corrupted data to be either collected via acquisition or generated via simulation. Experimental results demonstrate that our method is remarkably effective in removing artefacts and retaining anatomical details in images with different contrasts.
Additional file 1 of Unintended impact of COVID-19 pandemic on the rate of catheter related nosocomial infections and incidence of multiple drug resistance pathogens in three intensive care units not allocated to COVID-19 patients in a large teaching hospital
Creators: name: Zand, Farid
name: Vakili, Hedayatollah
name: Asmarian, Naeimehossadat
name: Masjedi, Mansoor
name: Sabetian, Golnar
name: Nikandish, Reza
name: Shafiee, Elham
name: Tabatabaei Esfehani, Azita
name: Azadi, Fatemeh
name: Sanaei Dashti, Anahita
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 1. Additional figures.
Learning-based deformable registration for infant MRI by integrating random forest with auto-context model
Creators: name: Cao, Xiaohuan
name: Wang, Li
name: Wu, Guorong
name: Wei, Lifang
name: Shen, Dinggang
name: Wang, Zhensong
name: Hu, Shunbo
name: Gao, Yaozong
Publisher: name: Wiley
Year: 2017

description: PURPOSE: Accurately analyzing the rapid structural evolution of human brain in the first year of life is a key step in early brain development studies, which requires accurate deformable image registration. However, due to (a) dynamic appearance and (b) large anatomical changes, very few methods in the literature can work well for the registration of two infant brain MR images acquired at two arbitrary development phases, such as birth and one-year-old. METHODS: To address these challenging issues, we propose a learning-based registration method, which can handle the anatomical structures and the appearance changes between the two infant brain MR images with possible time gap. Specifically, in the training stage, we employ a multioutput random forest regression and auto-context model to learn the evolution of anatomical shape and appearance from a training set of longitudinal infant images. To make the learning procedure more robust, we further harness the multimodal MR imaging information. Then, in the testing stage, for registering the two new infant images scanned at two different development phases, the learned model will be used to predict both the deformation field and appearance changes between the images under registration. After that, it becomes much easier to deploy any conventional image registration method to complete the remaining registration since the above-mentioned challenges for state-of-the-art registration methods have been well addressed. RESULTS: We have applied our proposed registration method to intersubject registration of infant brain MR images acquired at 2-week-old, 3-month-old, 6-month-old, and 9-month-old with the images acquired at 12-month-old. Promising registration results have been achieved in terms of registration accuracy, compared with the counterpart nonlearning based registration methods. CONCLUSIONS: The proposed new learning-based registration method have tackled the challenging issues in registering infant brain images acquired from the first year of life, by leveraging the multioutput random forest regression with auto-context model, which can learn the evolution of shape and appearance from a training set of longitudinal infant images. Thus, for the new infant image, its deformation field to the template and also its template-like appearances can be predicted by the learned models. We have extensively compared our method with state-of-the-art deformable registration methods, as well as multiple variants of our method, which show that our method can achieve higher accuracy even for the difficult cases with large appearance and shape changes between subject and template images.
A SUCCESS MODEL FOR COFFEE SHOP ENTREPRENEURS IN THAILAND
Creators: name: CHAIRAT RITTIRONG
name: TANAPOL KORTANA
name: BUNDIT PUNGNIRUND
name: CHOMPOO SAISAMA
name: SUAIDA WONGANAWAT
Publisher: name: Zenodo
Year: 2024
Subjects: Coffee Shop, Business, Entrepreneur, Thailand.

description: Abstract

This research aims to: 1) assess the levels of entrepreneurial leadership, business acumen, 8Ps marketing strategy implementation, management innovation, and success among coffee shop entrepreneurs in Thailand; 2) examine the impact of entrepreneurial leadership, business acumen, 8Ps marketing strategies, and management innovation on the success of coffee shop entrepreneurs in Thailand; and 3) devise a success model for coffee shop entrepreneurs in Thailand. The research employs a mixed-methods approach, with quantitative research involving 400 coffee shop entrepreneurs in Thailand. Sampling was conducted proportionally, with questionnaires used for data collection and analysis done using structural equation modeling. Qualitative research entailed in-depth interviews with ten coffee shop entrepreneurs and ten industry experts. Findings indicate high levels of entrepreneurial attributes and their significant influence on success. The IOCSS Model (Insider and Outsider Strategy for Success of Coffee Shop Entrepreneurs in Thailand) was developed as a result, emphasizing product differentiation, adherence to international service standards, partnership building, and leveraging digital marketing technology for enhanced customer engagement. These findings can serve as a blueprint for policymakers aiming to foster sustainable success among coffee shop entrepreneurs in Thailand.
Lifetime Risk of Symptomatic Hand Osteoarthritis: The Johnston County Osteoarthritis Project
Creators: name: Nelson, Amanda E.
name: Murphy, Louise B.
name: Qin, Jin
name: Renner, Jordan B.
name: Jordan, Joanne M.
name: Barbour, Kamil E.
name: Helmick, Charles G.
name: Baker, Nancy A.
name: Allen, Kelli D.
name: Schwartz, Todd A.
Publisher: name: Wiley
Year: 2017

description: OBJECTIVE: Symptomatic hand osteoarthritis (OA) is a common condition that affects hand strength and function, and causes disability in activities of daily living. Prior studies have estimated that the lifetime risk of symptomatic knee OA is 45% and that of hip OA is 25%. The objective of the present study was to estimate the overall lifetime risk of symptomatic hand OA, and the stratified lifetime risk according to potential risk factors. METHODS: Data were obtained from 2,218 adult subjects (ages ≥45 years) in the Johnston County Osteoarthritis Project, a population-based prospective cohort study among residents of Johnston County, North Carolina. Data for the present study were collected from 2 of the follow-up cycles (1999-2004 and 2005-2010). Symptomatic hand OA was defined as the presence of both self-reported symptoms and radiographic OA in the same hand. Lifetime risk, defined as the proportion of the population who will develop symptomatic hand OA in at least 1 hand by age 85 years, was estimated from models using generalized estimating equations. RESULTS: Overall, the lifetime risk of symptomatic hand OA was 39.8% (95% confidence interval [95% CI] 34.4-45.3%). In this population, nearly 1 in 2 women (47.2%, 95% CI 40.6-53.9%) had an estimated lifetime risk of developing symptomatic hand OA by age 85 years, compared with 1 in 4 men (24.6%, 95% CI 19.5-30.5%). Race-specific symptomatic hand OA risk estimates were 41.4% (95% CI 35.5-47.6%) among whites and 29.2% (95% CI 20.5-39.7%) among African Americans. The lifetime risk of symptomatic hand OA among individuals with obesity (47.1%, 95% CI 37.8-56.7%) was 11 percentage points higher than that in individuals without obesity (36.1%, 95% CI 29.7-42.9%). CONCLUSION: These findings demonstrate the substantial burden of symptomatic hand OA overall and in sociodemographic and clinical subgroups. Increased use of public health and clinical interventions is needed to address its impact.