cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8342459
title: Patients’ experience of a workplace dialogue in physiotherapy practice in primary care: an interview study

description: To describe how patients with acute/subacute back pain and/or neck pain experienced a workplace intervention, conducted as a structured workplace dialogue (convergence dialogue meeting, CDM) within physiotherapy practice in primary care. Semi-structured interviews were performed with 10 patients who took part in the CDM. Qualitative content analysis was applied to the data. Three categories emerged from the analysis: physiotherapist (PT) as a facilitator, the employer as a key stakeholder and lack of transparency and concrete changes. This study describes patients’ experiences of a workplace dialogue in physiotherapy practice. Even though few patients experienced concrete changes at the workplace, they were supportive for the intervention as well as how the PTs conducted the CDM. The patients expressed trust in the PTs who were seen as someone who could facilitate changes at the workplace, being proficient and supportive. The CDM could be a method to facilitate communication between stakeholders and support work ability.
DOI: 10.6084/m9.figshare.8342459.v3
title: Patients’ experience of a workplace dialogue in physiotherapy practice in primary care: an interview study

description: To describe how patients with acute/subacute back pain and/or neck pain experienced a workplace intervention, conducted as a structured workplace dialogue (convergence dialogue meeting, CDM) within physiotherapy practice in primary care. Semi-structured interviews were performed with 10 patients who took part in the CDM. Qualitative content analysis was applied to the data. Three categories emerged from the analysis: physiotherapist (PT) as a facilitator, the employer as a key stakeholder and lack of transparency and concrete changes. This study describes patients’ experiences of a workplace dialogue in physiotherapy practice. Even though few patients experienced concrete changes at the workplace, they were supportive for the intervention as well as how the PTs conducted the CDM. The patients expressed trust in the PTs who were seen as someone who could facilitate changes at the workplace, being proficient and supportive. The CDM could be a method to facilitate communication between stakeholders and support work ability.
DOI: 10.6084/m9.figshare.8342459.v2
title: Patients’ experience of a workplace dialogue in physiotherapy practice in primary care: an interview study

description: <b>Purpose:</b> To describe how patients with acute/subacute back pain and/or neck pain experienced a workplace intervention, conducted as a structured workplace dialogue (convergence dialogue meeting, CDM) within physiotherapy practice in primary care. <b>Materials and methods:</b> Semi-structured interviews were performed with 10 patients who took part in the CDM. Qualitative content analysis was applied to the data. <b>Results:</b> Three categories emerged from the analysis: physiotherapist (PT) as a facilitator, the employer as a key stakeholder and lack of transparency and concrete changes. <b>Conclusion:</b> This study describes patients’ experiences of a workplace dialogue in physiotherapy practice. Even though few patients experienced concrete changes at the workplace, they were supportive for the intervention as well as how the PTs conducted the CDM. The patients expressed trust in the PTs who were seen as someone who could facilitate changes at the workplace, being proficient and supportive. The CDM could be a method to facilitate communication between stakeholders and support work ability. <b>Trial registration:</b>ClinicalTrials.gov identifier: NCT02609750.
DOI: 10.6084/m9.figshare.12865852
title: <i>In vitro</i> and <i>ex vivo</i> expression of serum amyloid A3 in mouse lung epithelia

description: Serum amyloid A (SAA), an acute-phase protein whose level tracks infection and inflammation, is the precursor protein of amyloid A (AA) fibrils that is thought to cause AA amyloidosis in human and animals. SAA protein has several isoforms based on the difference of amino acid sequence, such as SAA1 to SAA4 in mice. AA fibrils are associated with chronic inflammation and are mainly originated from SAA1 produced in the liver. SAA3 reportedly contributes to the innate immune response in epithelia; however, little is known about its role at the lung epithelia. Therefore, we investigated SAA3 expression in the lung epithelium activated by bacterial antigens. The expressions of SAA3 and SAA1 mRNA were investigated using quantitative real-time PCR, <i>in vitro</i> using mouse Clara (Club) cells and <i>ex vivo</i> using surgically removed mouse lungs, after their stimulation by using either lipopolysaccharide (LPS), the major outer membranous antigen of gram-negative bacteria, or lipoteichoic acid (LTA), the major outer membranous antigen of gram-positive bacteria. In addition, SAA3 and SAA1/2 proteins in treated lung samples were detected by immunohistochemistry (IHC). SAA3 mRNA expression increased in cells and lungs treated with either LPS or LTA. SAA3 mRNA was more sensitively expressed in LPS than LTA treatment. In contrast, SAA1 mRNA expression did not increase by either LPS or LTA treatment. Furthermore, SAA3 mRNA expression increased in a dose-dependent manner in cells treated with tumor necrosis factor-alpha. By IHC, SAA3 protein was highly expressed in the luminal side of the bronchial epithelium, while SAA1/2 was not expressed. These results obtained from <i>in vitro</i> and <i>ex vivo</i> experiments suggest that SAA3 plays an important role in the innate immune response to bacterial infection in the lung epithelia.
DOI: 10.6084/m9.figshare.12865852.v1
title: <i>In vitro</i> and <i>ex vivo</i> expression of serum amyloid A3 in mouse lung epithelia

description: Serum amyloid A (SAA), an acute-phase protein whose level tracks infection and inflammation, is the precursor protein of amyloid A (AA) fibrils that is thought to cause AA amyloidosis in human and animals. SAA protein has several isoforms based on the difference of amino acid sequence, such as SAA1 to SAA4 in mice. AA fibrils are associated with chronic inflammation and are mainly originated from SAA1 produced in the liver. SAA3 reportedly contributes to the innate immune response in epithelia; however, little is known about its role at the lung epithelia. Therefore, we investigated SAA3 expression in the lung epithelium activated by bacterial antigens. The expressions of SAA3 and SAA1 mRNA were investigated using quantitative real-time PCR, <i>in vitro</i> using mouse Clara (Club) cells and <i>ex vivo</i> using surgically removed mouse lungs, after their stimulation by using either lipopolysaccharide (LPS), the major outer membranous antigen of gram-negative bacteria, or lipoteichoic acid (LTA), the major outer membranous antigen of gram-positive bacteria. In addition, SAA3 and SAA1/2 proteins in treated lung samples were detected by immunohistochemistry (IHC). SAA3 mRNA expression increased in cells and lungs treated with either LPS or LTA. SAA3 mRNA was more sensitively expressed in LPS than LTA treatment. In contrast, SAA1 mRNA expression did not increase by either LPS or LTA treatment. Furthermore, SAA3 mRNA expression increased in a dose-dependent manner in cells treated with tumor necrosis factor-alpha. By IHC, SAA3 protein was highly expressed in the luminal side of the bronchial epithelium, while SAA1/2 was not expressed. These results obtained from <i>in vitro</i> and <i>ex vivo</i> experiments suggest that SAA3 plays an important role in the innate immune response to bacterial infection in the lung epithelia.
DOI: 10.6084/m9.figshare.13003622.v2
title: Genetic factors in anthracycline-induced cardiotoxicity in patients treated for pediatric cancer

description: Cardiovascular diseases are the main cause of treatment-related morbidity and mortality in childhood cancer patients. Anthracyclines, one of the most common chemotherapeutic agents in treatment regimens, are implicated in chemotherapy-induced cardiotoxicity. This review describes the pharmacogenomic markers related to anthracycline-induced cardiotoxicity affecting childhood cancer patients. We also included a brief overview of the applicability of reported findings to the well-established PETALE cohort of childhood acute lymphoblastic leukemia survivors of the Sainte-Justine University Health Center (Canada). The wide variation in interindividual susceptibility to anthracycline-induced cardiotoxicity, along with a multitude of genetic variants detected through association studies, suggests that genetic contributions could be essential for the design of new individualized preventive approaches.
DOI: 10.6084/m9.figshare.13003622
title: Genetic factors in anthracycline-induced cardiotoxicity in patients treated for pediatric cancer

description: Cardiovascular diseases are the main cause of treatment-related morbidity and mortality in childhood cancer patients. Anthracyclines, one of the most common chemotherapeutic agents in treatment regimens, are implicated in chemotherapy-induced cardiotoxicity. This review describes the pharmacogenomic markers related to anthracycline-induced cardiotoxicity affecting childhood cancer patients. We also included a brief overview of the applicability of reported findings to the well-established PETALE cohort of childhood acute lymphoblastic leukemia survivors of the Sainte-Justine University Health Center (Canada). The wide variation in interindividual susceptibility to anthracycline-induced cardiotoxicity, along with a multitude of genetic variants detected through association studies, suggests that genetic contributions could be essential for the design of new individualized preventive approaches.
DOI: 10.15468/7apdvc
title: Native Orchids of Gaoligong Mountains

description: This is a checklist of native orchids found in Gaoligongshan of Yunnan, China, compiled from the book "Gaoligong Shan Native Orchids" published by Science Press, China in 2009.
DOI: 10.17870/bathspa.14252750.v1
title: Research Summary Statement - ICS - SENCO Workload

description: This item contains a research summary statement in support of the REF2021 Impact Case Study within the Education Unit of Assessment (23), entitled "Creating whole school models to transform the practice of lead practitioners working with disadvantaged learners".<br>The underpinning research referred to in this statement is documented in a separate item:<br><b>Curran, H, Moloney, H, Heavey, A and Boddison, A (2018) It's about time: the impact of SENCO workload on the professional and the school. Bath Spa University, Bath.</b><br><br>
DOI: 10.17870/bathspa.14252750
title: Research Summary Statement - ICS - SENCO Workload

description: This item contains a research summary statement in support of the REF2021 Impact Case Study within the Education Unit of Assessment (23), entitled "Creating whole school models to transform the practice of lead practitioners working with disadvantaged learners".<br>The underpinning research referred to in this statement is documented in a separate item:<br><b>Curran, H, Moloney, H, Heavey, A and Boddison, A (2018) It's about time: the impact of SENCO workload on the professional and the school. Bath Spa University, Bath.</b><br><br>
DOI: 10.17870/bathspa.14252753
title: Underpinning Research - ICS - SENCO Workload Report

description: This item contains underpinning research in support of the REF2021 Impact Case Study within the Education Unit of Assessment (23), entitled "Creating whole school models to transform the practice of lead practitioners working with disadvantaged learners".<br>This is a report on the SENCO workload by Bath Spa University with The National Association of Special Educational Needs (nasen), and funded by The National Education Union (NEU).<br><br> <b>Curran, H, Moloney, H, Heavey, A and Boddison, A (2018) It's about time: the impact of SENCO workload on the professional and the school. Bath Spa University, Bath.</b><br>
DOI: 10.17870/bathspa.14252753.v1
title: Underpinning Research - ICS - SENCO Workload Report

description: This item contains underpinning research in support of the REF2021 Impact Case Study within the Education Unit of Assessment (23), entitled "Creating whole school models to transform the practice of lead practitioners working with disadvantaged learners".<br>This is a report on the SENCO workload by Bath Spa University with The National Association of Special Educational Needs (nasen), and funded by The National Education Union (NEU).<br><br> <b>Curran, H, Moloney, H, Heavey, A and Boddison, A (2018) It's about time: the impact of SENCO workload on the professional and the school. Bath Spa University, Bath.</b><br>
DOI: 10.17632/5f7j28gt6k.1
title: Роль кредитных нот в портфеле инвестора

description: Выборка для диссертации на тему "Роль кредитных нот в портфеле инвестора"
DOI: 10.17632/3vx6s9twch.1
title: Brain MRS correlates with mitochondrial dysfunction biomarkers in MELAS-associated mtDNA mutations

description: MR spectroscopy data related to the paper Brain MRS correlates with mitochondrialdysfunction biomarkers in MELAS-associated mtDNA mutations, Annals of Clinical and Translational Neurology, 2021 May 5. doi: 10.1002/acn3.51329
DOI: 10.17632/jspjxy3z66.1
title: HepLib: A C++ library for high energy physics

description: HepLib is a C++ Library for computations in High Energy Physics, it works on top of GiNaC, a well-established C++ library used to perform symbolic computations. HepLib combines serval well-known packages to get high efficiency, including qgraf to generate Feynman aptitudes, FORM to perform Dirac/Color matrix related computations, and FIRE or KIRA for integration-by-parts (IBP) reduction. Another core feature of HepLib lies in the numerical evaluation of master integrals using sector decomposition, which is a general method widely used in high-order numerical computation and has been implemented in many public packages in many different languages, and we present another implementation in the language of C++ with many new features. We use GiNaC to handle the symbolic operations, and export the corresponding integrand into an optimized C++ code, that will be compiled internally and linked dynamically, a customizable numerical integrator is selected to perform the numerical integration, while the integrand can be evaluated in different float precisions, including the arbitrary precision supported by MPFR.
DOI: 10.17632/76742x9w87.2
title: DHODH inhibition modulates glucose metabolism, circulating GDF15 and improves metabolic balance

description: Original data.
DOI: 10.17632/76742x9w87.1
title: DHODH inhibition modulates glucose metabolism, circulating GDF15 and improves metabolic balance

description: Original data.
DOI: 10.17632/ctbgcdc679.1
title: RadialNetworkArchBridge

description: Software system for optimization of pedestrian steel radial network arch bridge. Includes starting Matlab function, Fortran programs for meshing, finite element analysis, constraint checking, objective function evaluation. Also, includes initial data and output files for validation. Short instructions are given in Readme.txt file.
DOI: 10.17632/jx9hp9jtgj.1
title: HandloomWeavers_LowResourceIndustry_BP

description: This is the data collected from the silk, cotton , silk cotton saree handloom weavers in South India
DOI: 10.5281/zenodo.4740758
title: Non-orographic gravity wave drag dataset

description: Public data repository for Chantry et al. (2020) on NOGWD emulation using machine learning See paper for details on data generation. To unzip: <pre><code class="language-bash">tar -xzf 2015-01-01.h5.tgz </code></pre> Files are formatted year-month-day.h5 based on forecast start date.<br> Files contain arrays x & y<br> Inputs: x(191,ntime,nspace)<br> Outputs: y(126,ntime,nspace)<br> ntime=36 (every 20 hours from 20:720 hours)<br> nspace=65440 (subsampling every 10th gridpoint of 654400 original points)<br> See paper for explanation of the 191 & 126.<br> Data has not been normalised. Challenge is for a given 191 inputs, predict the 126 outputs. Training data: used 12 30-day periods in 2015.<br> Testing: 3 provided dates in 2016.<br> Validation: 3 provided dates in 2017
DOI: 10.5281/zenodo.4740757
title: Non-orographic gravity wave drag dataset

description: Public data repository for Chantry et al. (2020) on NOGWD emulation using machine learning See paper for details on data generation. To unzip: <pre><code class="language-bash">tar -xzf 2015-01-01.h5.tgz </code></pre> Files are formatted year-month-day.h5 based on forecast start date.<br> Files contain arrays x & y<br> Inputs: x(191,ntime,nspace)<br> Outputs: y(126,ntime,nspace)<br> ntime=36 (every 20 hours from 20:720 hours)<br> nspace=65440 (subsampling every 10th gridpoint of 654400 original points)<br> See paper for explanation of the 191 & 126.<br> Data has not been normalised. Challenge is for a given 191 inputs, predict the 126 outputs. Training data: used 12 30-day periods in 2015.<br> Testing: 3 provided dates in 2016.<br> Validation: 3 provided dates in 2017
DOI: 10.5281/zenodo.4602210
title: replication package - paper 86

description: Replication package for the study 'How do Tertiary Studies perform Quality Assessment of Secondary Studies in Software Engineering.
DOI: 10.5281/zenodo.4602209
title: replication package - paper 86

description: Replication package for the study 'How do Tertiary Studies perform Quality Assessment of Secondary Studies in Software Engineering.
DOI: 10.5517/ccrqq9g
title: CCDC 707026: Experimental Crystal Structure Determination

description: Related Article: G.Martinez, L.R.Falvello, M.Tomas, N.A.Mushale|2008|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23qkn2
title: CCDC 1958104: Experimental Crystal Structure Determination

description: Related Article: Peng Yan, Qiang Zhou, Jun Chen, Ping Lu|2021|CSD Communication|||
description: Related Article: Peng Yan, Qiang Zhou, Jun Chen, Ping Lu|2020|Chin.J.Chem.|38|1103|doi:10.1002/cjoc.201900510
DOI: 10.5517/ccdc.csd.cc26b3vj
title: CCDC 2035517: Experimental Crystal Structure Determination

description: Related Article: Wang Chaochao|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc272r69
title: CCDC 2058220: Experimental Crystal Structure Determination

description: Related Article: Xia Hui|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc272ttz
title: CCDC 2058301: Experimental Crystal Structure Determination

description: Related Article: Victor   B. Rybakov, Anton    V. Shchetinin, Yaroslav I. Koval, Eugene   V. Babaev|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732k0
title: CCDC 2058541: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Jörg A. Schachner, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732n3
title: CCDC 2058544: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Jörg A. Schachner, Lydia M. Peschel, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732p4
title: CCDC 2058545: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Lydia M. Peschel, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732q5
title: CCDC 2058546: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Pedro Traar, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732r6
title: CCDC 2058547: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Tina-Maria Konrad, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732s7
title: CCDC 2058548: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Bernhard Stanje, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2732t8
title: CCDC 2058549: Experimental Crystal Structure Determination

description: Related Article: Ferdinand Belaj, Bastian Harum, Nadia C. Mösch-Zanetti|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27qvmg
title: CCDC 2077546: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Stephen G. Pyne, Zeming Dong, Allan H. White|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27qzb9
title: CCDC 2077661: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27qzcb
title: CCDC 2077662: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27qzfd
title: CCDC 2077664: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27qzqp
title: CCDC 2077673: Experimental Crystal Structure Determination

description: Related Article: George G. Stanley, Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27r0xy
title: CCDC 2077710: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Stephen G. Pyne|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27r3jn
title: CCDC 2077791: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27r19c
title: CCDC 2077722: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Stephen G. Pyne|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27r1bd
title: CCDC 2077723: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Johannes Wefer, Thomas Lindel|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27s8dq
title: CCDC 2078903: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, John B. Bremner|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27sbr4
title: CCDC 2078976: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27schx
title: CCDC 2078999: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27scjy
title: CCDC 2079000: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27scl0
title: CCDC 2079002: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27scm1
title: CCDC 2079003: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27scn2
title: CCDC 2079004: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27scp3
title: CCDC 2079005: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, G.S. Nichol|2021|CSD Communication|||