cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1nm3hw
title: CCDC 1537708: Experimental Crystal Structure Determination

description: Related Article: Xiaowu Xu, Chongbin Tian, Shaowu Du|2017|CrystEngComm|19|4269|doi:10.1039/C7CE00803A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zmf
title: CCDC 1553925: Experimental Crystal Structure Determination

description: Related Article: K.-N. Truong, N. Lothmann, U. Englert|2017|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|73|525|doi:10.1107/S2053229617008269
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrqg
title: CCDC 1529686: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrmc
title: CCDC 1529683: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrsj
title: CCDC 1529688: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrpf
title: CCDC 1529685: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrrh
title: CCDC 1529687: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nbrnd
title: CCDC 1529684: Experimental Crystal Structure Determination

description: Related Article: Susumu Tanaka,  Hiroaki Imoto,  Takashi Yumura,  and Kensuke Naka|2017|Organometallics|36|1684|doi:10.1021/acs.organomet.7b00198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zng
title: CCDC 1553926: Experimental Crystal Structure Determination

description: Related Article: Amélie Dion and Claude Spino|2017|Heterocycles|95|894|doi:10.3987/COM-16-S(S)58
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zph
title: CSD 1553927: Experimental Crystal Structure Determination

description: Related Article: Yucheng Hao, Gabriel L. Murphy, Dirk Bosbach, Giuseppe Modolo, Thomas E. Albrecht-Schmitt, Evgeny V. Alekseev|2017|Inorg.Chem.|56|9311|doi:10.1021/acs.inorgchem.7b01443
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zqj
title: CSD 1553928: Experimental Crystal Structure Determination

description: Related Article: Yucheng Hao, Gabriel L. Murphy, Dirk Bosbach, Giuseppe Modolo, Thomas E. Albrecht-Schmitt, Evgeny V. Alekseev|2017|Inorg.Chem.|56|9311|doi:10.1021/acs.inorgchem.7b01443
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zrk
title: CCDC 1553929: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Michael A. Giebel, Alexander Pöthig, Thomas F. Fässler|2017|Molecules|22|1204|doi:10.3390/molecules22071204
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zsl
title: CCDC 1553930: Experimental Crystal Structure Determination

description: Related Article: Felix S. Geitner, Michael A. Giebel, Alexander Pöthig, Thomas F. Fässler|2017|Molecules|22|1204|doi:10.3390/molecules22071204
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p4zzs
title: CCDC 1553936: Experimental Crystal Structure Determination

description: Related Article: Ryan C. Cammarota,  Matthew V. Vollmer,  Jing Xie,  Jingyun Ye,  John C. Linehan,  Samantha A. Burgess,  Aaron M. Appel,  Laura Gagliardi,  Connie C. Lu|2017|J.Am.Chem.Soc.|139|14244|doi:10.1021/jacs.7b07911
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p5051
title: CCDC 1553942: Experimental Crystal Structure Determination

description: Related Article: Perry M. Scheetz, David S. Glueck, Arnold L. Rheingold|2017|Organometallics|36|3387|doi:10.1021/acs.organomet.7b00515
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p50gb
title: CCDC 1553951: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p50hc
title: CCDC 1553952: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p50jd
title: CCDC 1553953: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p50kf
title: CCDC 1553954: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1p50lg
title: CCDC 1553955: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29429014
title: The efficacy of dexamethasone compared to prednisone/prednisolone for the management of pediatric patients with acute exacerbation of asthma: a systematic review and meta-analysis

description: This updated meta-analysis aimed to investigate the efficacy of dexamethasone compared to prednisone/prednisolone for the management of pediatric patients with acute exacerbation of asthma. PubMed, Web of Science, the Cochrane Library, and Scopus were systematically searched from the inception to March 8, 2025. Randomized controlled trials comparing the effect of dexamethasone with prednisone/prednisolone on hospital admission, relapse, readmission, length of hospital stay, pediatric respiratory assessment measure (PRAM) score, intensive care unit (ICU) admission, noncompliance, and vomiting among pediatric patients with acute asthma exacerbation were identified. Studies other than randomized controlled trials, studies lacking both groups and those not reporting the outcomes of interest were excluded. A random-effects model was adopted to pool data. Sixteen studies with 1481 individuals in the dexamethasone group and 1436 individuals in the prednisone/prednisolone group were included. No significant differences were found between dexamethasone and prednisone/prednisolone groups in terms of the risk of hospitalization (RR 0.96, 95% CI (0.79, 1.17), I<sup>2</sup> = 0.00%), ICU admission (RR 0.64, 95% CI (0.08, 4.88), I<sup>2</sup> = 0.00%), relapse (RR 0.99, 95% CI (0.71, 1.38), I<sup>2</sup> = 0.00%), hospital readmission (RR 0.90, 95% CI (0.34, 2.35), I<sup>2</sup> = 30.98%), the PRAM score (RR −0.24, 95% CI (-0.54, 0.06), I<sup>2</sup> = 41.30%), the length of hospital stay (RR −2.69 h, 95% CI (-6.91, 1.53), I<sup>2</sup> = 69.50%), and noncompliance (RR 0.47, 95% CI (0.07, 3.01), I<sup>2</sup> = 65.20%). Moreover, dexamethasone decreased the risk of vomiting (RR 0.39, 95% CI (0.25, 0.59), I<sup>2</sup> = 26.62%) compared to prednisone-prednisolone. Dexamethasone was not inferior to prednisolone/prednisone in the management of pediatric asthma exacerbation.
DOI: 10.6084/m9.figshare.29429014.v1
title: The efficacy of dexamethasone compared to prednisone/prednisolone for the management of pediatric patients with acute exacerbation of asthma: a systematic review and meta-analysis

description: This updated meta-analysis aimed to investigate the efficacy of dexamethasone compared to prednisone/prednisolone for the management of pediatric patients with acute exacerbation of asthma. PubMed, Web of Science, the Cochrane Library, and Scopus were systematically searched from the inception to March 8, 2025. Randomized controlled trials comparing the effect of dexamethasone with prednisone/prednisolone on hospital admission, relapse, readmission, length of hospital stay, pediatric respiratory assessment measure (PRAM) score, intensive care unit (ICU) admission, noncompliance, and vomiting among pediatric patients with acute asthma exacerbation were identified. Studies other than randomized controlled trials, studies lacking both groups and those not reporting the outcomes of interest were excluded. A random-effects model was adopted to pool data. Sixteen studies with 1481 individuals in the dexamethasone group and 1436 individuals in the prednisone/prednisolone group were included. No significant differences were found between dexamethasone and prednisone/prednisolone groups in terms of the risk of hospitalization (RR 0.96, 95% CI (0.79, 1.17), I<sup>2</sup> = 0.00%), ICU admission (RR 0.64, 95% CI (0.08, 4.88), I<sup>2</sup> = 0.00%), relapse (RR 0.99, 95% CI (0.71, 1.38), I<sup>2</sup> = 0.00%), hospital readmission (RR 0.90, 95% CI (0.34, 2.35), I<sup>2</sup> = 30.98%), the PRAM score (RR −0.24, 95% CI (-0.54, 0.06), I<sup>2</sup> = 41.30%), the length of hospital stay (RR −2.69 h, 95% CI (-6.91, 1.53), I<sup>2</sup> = 69.50%), and noncompliance (RR 0.47, 95% CI (0.07, 3.01), I<sup>2</sup> = 65.20%). Moreover, dexamethasone decreased the risk of vomiting (RR 0.39, 95% CI (0.25, 0.59), I<sup>2</sup> = 26.62%) compared to prednisone-prednisolone. Dexamethasone was not inferior to prednisolone/prednisone in the management of pediatric asthma exacerbation.
DOI: 10.5517/ccdc.csd.cc1p50mh
title: CCDC 1553956: Experimental Crystal Structure Determination

description: Related Article: Brennan S. Billow, Tanner J. McDaniel, Aaron L. Odom|2017|Nature Chemistry|9|837|doi:10.1038/nchem.2843
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29545721
title: Artificial intelligence performance in pediatric asthma

description: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With the advancement of technology, artificial intelligence (AI) applications are increasingly being used in various fields, among which ChatGPT is one of the most widely utilized. The aim of this study is to evaluate the reliability, quality, and readability of the answers provided by the ChatGPT-4o application to questions related to pediatric asthma. The ChatGPT-4o application was used to record answers to 25 of the most frequently asked questions about asthma in children. To determine the quality and reliability of the answers, we used the Global Quality Scale and modified DISCERN tool. We tested readability using seven indices: Automated Readability Index, Flesch Reading Ease Score, Flesch-Kincaid Grade Level (FKGL), Gunning Fog Readability Index, Simple Measure of Gobbledygook, Coleman–Liau Readability Index, and Linsear Write Formula. The answers provided by the ChatGPT-4o application to questions about childhood asthma were found to have good reliability (88% by the first evaluator and 84% by the second evaluator) and high quality (88% by both evaluators). The application scored 10.77 ± 1.58 on the FKGL scale, and in conjunction with the other indices, the results indicated that the answers required a high level of reading proficiency. Artificial intelligence can be a reliable tool for parents in providing information about pediatric asthma. However, these findings suggest that readability issues may hinder the clinical application of AI-generated content in asthma diagnosis and treatment.
DOI: 10.6084/m9.figshare.29545721.v2
title: Artificial intelligence performance in pediatric asthma

description: Asthma is the most common chronic disease of childhood, characterized by symptoms such as wheezing, shortness of breath, and coughing. With the advancement of technology, artificial intelligence (AI) applications are increasingly being used in various fields, among which ChatGPT is one of the most widely utilized. The aim of this study is to evaluate the reliability, quality, and readability of the answers provided by the ChatGPT-4o application to questions related to pediatric asthma. The ChatGPT-4o application was used to record answers to 25 of the most frequently asked questions about asthma in children. To determine the quality and reliability of the answers, we used the Global Quality Scale and modified DISCERN tool. We tested readability using seven indices: Automated Readability Index, Flesch Reading Ease Score, Flesch-Kincaid Grade Level (FKGL), Gunning Fog Readability Index, Simple Measure of Gobbledygook, Coleman–Liau Readability Index, and Linsear Write Formula. The answers provided by the ChatGPT-4o application to questions about childhood asthma were found to have good reliability (88% by the first evaluator and 84% by the second evaluator) and high quality (88% by both evaluators). The application scored 10.77 ± 1.58 on the FKGL scale, and in conjunction with the other indices, the results indicated that the answers required a high level of reading proficiency. Artificial intelligence can be a reliable tool for parents in providing information about pediatric asthma. However, these findings suggest that readability issues may hinder the clinical application of AI-generated content in asthma diagnosis and treatment.
DOI: 10.6084/m9.figshare.29880857
title: STOML2 knockdown inhibits inflammation and airway remodeling of PDGF-BB-induced airway smooth-muscle cells by the MAPK pathway

description: Asthma is a chronic inflammatory airway disease characterized by airway inflammation and remodeling. Abnormal proliferation and migration of human airway smooth muscle cells (HASMCs), induced by platelet-derived growth factor BB (PDGF-BB), are associated with the occurrence and progression of asthma. In this study, we aim to investigate the expression and molecular mechanisms of stomatin-like protein-2 (STOML2) in airway remodeling in asthma. PDGF-BB-stimulated HASMCs were used as the asthma cell model. STOML2 expression levels in the serum of patients with asthma and healthy controls were measured using qRT-PCR. Additionally, qRT-PCR and western blotting were used to measure STOML2, E-cadherin, and N-cadherin expression in HASMCs. Extracellular matrix components were detected by western blot assay. The viability and migration of HASMCs were analyzed using MTT and Transwell assays. Tumor necrosis factor α (TNF-α), interleukin-1β (IL-1β), and IL-6 contents were evaluated using the corresponding kits. The key molecules of the p38 mitogen-activated protein kinase (p38 MAPK) pathway (p38 and p38) were determined using western blotting. Increased STOML2 expression was observed in both patients with asthma and PDGF-BB-treated HASMCs. STOML2 knockdown inhibits STOML2 expression in HASMCs. PDGF-BB induced proliferation, migration, extracellular matrix deposition, inflammatory responses, and p38 MAPK pathway activation in HASMCs. However, the opposite effects were observed following STOML2 knockdown or SB-203580 treatment, respectively. Furthermore, P79350 treatment reversed the effect of STOML2 knockdown. Our results showed that silencing STOML2 inhibits inflammation and airway remodeling in PDGF-BB-stimulated HASMCs via the p38 MAPK pathway. Thus, STOML2 is a promising therapeutic target for the treatment of asthma.