cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20729350
title: Supplementary Material for: Phase 2 Study of the PD-1 Inhibitor Serplulimab Plus the Bevacizumab Biosimilar HLX04 in Patients with Previously Treated Advanced Hepatocellular Carcinoma

description: Introduction: Current treatments for patients with previously treated advanced hepatocellular carcinoma (HCC) provide modest survival benefits. We evaluated the safety and antitumor activity of serplulimab, an anti-PD-1 antibody, plus the bevacizumab biosimilar HLX04 in this patient population. Methods: In this open-label, multicenter, phase 2 study in China, patients with advanced HCC who failed prior systemic therapy received serplulimab 3 mg/kg plus HLX04 5 mg/kg (group A) or 10 mg/kg (group B) intravenously every 2 weeks. The primary endpoint was safety. Results: As of April 8, 2021, 20 and 21 patients were enrolled into group A and B, and they had received a median of 7 and 11 treatment cycles, respectively. Grade ≥3 treatment-emergent adverse events were reported by 14 (70.0%) patients in group A and 12 (57.1%) in group B. Most immune-related adverse events were grade ≤3. The objective response rate was 30.0% (95% confidence interval (CI), 11.9–54.3) in group A and 14.3% (95% CI, 3.0–36.3) in group B. Median duration of response was not reached (95% CI, 3.3–not evaluable (NE)) in group A and was 9.0 months (95% CI, 7.9–NE) in group B. Median progression-free survival was 2.2 months (95% CI, 1.4–5.5) and 4.1 months (95% CI, 1.5–NE), and median overall survival was 11.6 months (95% CI, 6.4–NE) and 14.3 months (95% CI, 8.2–NE) in group A and B, respectively. Conclusion: Serplulimab plus HLX04 showed a manageable safety profile and antitumor activity in patients with previously treated advanced HCC.
DOI: 10.6084/m9.figshare.20729350.v1
title: Supplementary Material for: Phase 2 Study of the PD-1 Inhibitor Serplulimab Plus the Bevacizumab Biosimilar HLX04 in Patients with Previously Treated Advanced Hepatocellular Carcinoma

description: Introduction: Current treatments for patients with previously treated advanced hepatocellular carcinoma (HCC) provide modest survival benefits. We evaluated the safety and antitumor activity of serplulimab, an anti-PD-1 antibody, plus the bevacizumab biosimilar HLX04 in this patient population. Methods: In this open-label, multicenter, phase 2 study in China, patients with advanced HCC who failed prior systemic therapy received serplulimab 3 mg/kg plus HLX04 5 mg/kg (group A) or 10 mg/kg (group B) intravenously every 2 weeks. The primary endpoint was safety. Results: As of April 8, 2021, 20 and 21 patients were enrolled into group A and B, and they had received a median of 7 and 11 treatment cycles, respectively. Grade ≥3 treatment-emergent adverse events were reported by 14 (70.0%) patients in group A and 12 (57.1%) in group B. Most immune-related adverse events were grade ≤3. The objective response rate was 30.0% (95% confidence interval (CI), 11.9–54.3) in group A and 14.3% (95% CI, 3.0–36.3) in group B. Median duration of response was not reached (95% CI, 3.3–not evaluable (NE)) in group A and was 9.0 months (95% CI, 7.9–NE) in group B. Median progression-free survival was 2.2 months (95% CI, 1.4–5.5) and 4.1 months (95% CI, 1.5–NE), and median overall survival was 11.6 months (95% CI, 6.4–NE) and 14.3 months (95% CI, 8.2–NE) in group A and B, respectively. Conclusion: Serplulimab plus HLX04 showed a manageable safety profile and antitumor activity in patients with previously treated advanced HCC.
DOI: 10.6084/m9.figshare.21436737.v1
title: Supplementary Material for: Low baseline CXCL9 predicts early progressive disease in unresectable HCC with atezolizumab plus bevacizumab treatment

description: Introduction: Atezolizumab plus bevacizumab treatment is highly effective in patients with unresectable hepatocellular carcinoma (HCC). However, progressive disease (PD) occurs in approximately 20% of HCC patients treated with atezolizumab plus bevacizumab, resulting in a poor prognosis. Thus, the prediction and early detection of HCC is crucial. Methods: Patients with unresectable HCC treated with atezolizumab plus bevacizumab and had baseline preserved serum (n = 68) were screened and classified according to their PD, six weeks after treatment initiation (early PD; n = 13). Of these, four patients each with and without early PD were selected for cytokine array and genetic analyses. The identified factors were validated in the validated cohort (n = 60) and evaluated in patients treated with lenvatinib. Results: No significant differences were observed in the genetic alterations in circulating tumor DNA. Cytokine array data revealed that baseline MIG (CXCL9), ENA-78, and RANTES differed substantially between patients with and without early PD. Subsequent analysis in the validation cohort revealed that baseline CXCL9 was significantly lower in patients with early PD than that in patients without early PD, and the best cut-off value of serum CXCL9 to predict early PD was 333 pg/mL (sensitivity: 0.600, specificity: 0.923, AUC = 0.75). In patients with lower serum CXCL9 (&lt; 333 pg/mL), 35.3% (12/34) experienced early PD with atezolizumab plus bevacizumab, while progression-free survival (PFS) was significantly shorter relative to that in patients without (median PFS, 126 days vs 227 days; HR: 2.41, 95% CI: 1.22–4.80, p = 0.0084). While patients with objective response to lenvatinib had significantly lower CXCL9 levels compared with those of patients without. Conclusion: Baseline low serum CXCL9 (&lt; 333 pg/mL) levels may predict early PD in patients with unresectable HCC treated with atezolizumab plus bevacizumab.
DOI: 10.18154/rwth-2022-02244
title: Messdatensätze zur Beurteilung der Leistungsfähigkeit von Lokalisierungsmethoden für Bluetooth Low Energy
title: Measurement data sets for evaluating the performance of localization methods for Bluetooth Low Energy

description: doi:10.18154/RWTH-2022-02244
description: The measurement data sets are used to assess the performance of localization methods based on Bluetooth Low Energy technology. The data sets were collected at the Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University under conditions similar to those in industry. The examination room has a length of approx. 5.5 m and a width of approx. 5.0 m and is comparable to the working area of an employee in single and small batch production.
DOI: 10.6084/m9.figshare.21732302.v1
title: Supplementary Material for: Assessing Patient’s Values When Selecting Treatments for Alopecia Areata: A Cross-Sectional Survey Study

description: <b><i>Introduction:</i></b> Alopecia areata (AA) is an autoimmune condition that results in nonscarring hair loss. There is currently only one Food and Drug Administration (FDA)-approved treatment for AA; as a result, a wide range of treatments are commonly administered. This study aimed to determine how patients with AA prioritize treatment characteristics when choosing a therapy. <b><i>Methods:</i></b> A cross-sectional national survey was distributed using the National Alopecia Areata Foundation’s (NAAF) email list. This study was approved by the Mass General Brigham Institutional Review Board. Participants were asked to rank the importance of five treatment domains. <b><i>Results:</i></b> Of the 1,074 completed surveys (completion rate 77.4%), most respondents were female (85.4%) and white (77.8%) with an average age of 49.3 ± 15.4 years. Respondents had AA for an average of 17.7 ± 15.4 years, with 90.0% experiencing current active hair loss. 95.6% of respondents considered the treatment’s ability to achieve hair regrowth as important, 93.9% listed the availability of information about the treatment (e.g., via doctor or online) as important, 89.1% ranked the treatment side effects as important, 75.7% the cost, and 68.0% the convenience of use. A sub-analysis was performed examining responses between respondents who identify as white versus nonwhite, which showed that while the order of importance was the same between groups, a significantly larger proportion of nonwhite respondents attributed higher importance to cost (white: 73.8%, nonwhite: 82.4%; <i>p</i> = 0.006) and convenience (white: 65.3%, nonwhite: 77.3%; <i>p</i> &lt; 0.001) than their white counterparts. <b><i>Discussion/Conclusion:</i></b> These findings identify key domains that can serve as a starting point in shared decision-making between patients and physicians. This knowledge can streamline dermatologist delivery of key information and highlight areas of improvement for future therapeutics. Limitations include the nonrandomized NAAF population with most participants being white females. Future studies should confirm these findings in other patient populations.
DOI: 10.5281/zenodo.7442484
title: psittacula_derbiana_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.7442483
title: psittacula_derbiana_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21732305.v1
title: Whole-transcriptomic sequencing data of esophageal squamous cell carcinoma patients in Kazakhstan

description: Table 2
DOI: 10.6084/m9.figshare.20710957
title: Whole-transcriptomic sequencing data of esophageal squamous cell carcinoma patients in Kazakhstan, Table 1

description: Table 1
DOI: 10.6084/m9.figshare.20710957.v4
title: Whole-transcriptomic sequencing data of esophageal squamous cell carcinoma patients in Kazakhstan, Table 1

description: Table 1
DOI: 10.6084/m9.figshare.20710957.v3
title: Whole-transcriptomic sequencing data of esophageal squamous cell carcinoma patients in Kazakhstan

description: <strong>All tables</strong>
DOI: 10.6084/m9.figshare.20055611.v1
title: Data and R codes for Fan et al. Reconciling Darwin’s naturalization conundrum at the global scale

description: Data and R codes for Fan et al. Reconciling Darwin’s naturalization conundrum at the global scale
DOI: 10.5281/zenodo.7373532
title: Datasets containing the results from the analysis on SDGS and eHealth inside the Citizen Science Community on Twitter

description: This datasets contain the results from our analyses of the Citizen Science Community on Twitter. These analyses have been done to better understand the discussion about SDGs, eLearning and eHealth. <strong>T</strong>he purpose of sharing these datasets is to provide the basis to reproduce the results reported in the associated deliverable. These files are not raw data, since due to privacy concerns we can not share personal information from Twitter. <strong>dominant_topics_anonym.xlsx</strong>: Excel datasheet. This dataset contians the distribution of the most discussed topics inside the SDGs discussion. <strong>Edges_Hashtag_connected.csv</strong>: CSV file. This dataset contains the edges to build the network of connected hashtags. This edges can be used to build a network and explore the connections or to statiscally analyse the results. <strong>hashtags.csv</strong>: CSV file. This dataset contains the results of the most used hashtags in the analysis about eLearning. <br> <strong>hashtags_treemap_health.xlsx</strong>: Excel datasheet. This dataset contains the results of the most frequent hashtags in the eHealth analysis. <strong>ldavis_prepared_ieee17.html</strong>: HTML file. This file contains the Intertopic distance map and most salient terms from the topic modelling analysis done in the SDGs conversation study. <strong>Most_retweeted_accounts.xlsx</strong>: Excel datasheet. This dataset contains the top 20 users that receive more retweets in the conversation around eHealth. The column called Indegree refers to the topological value calculated from the network of retweets. This indegree is equivalent to the number of retweets received. On the other hand, Outdegree is the opposite, so number of retweets given to others. <strong>Most_retweeting_account.xlsx</strong>: Excel datasheet. This dataset presents the opposite part of the previous one, the accounts that retweet the most from the eHealth analysis. The columns contain the same indicators: Indegree and Outdegree. <strong>sdgs_count_publish.csv</strong>: CSV file. This dataset contains the number of tweets assigned to the different SDGs from the analysis done on the conversation about these Goals. <strong>sdgs_tweets_sdgsaccess.xlsx</strong>: Excel datasheet. Same file as the previous one in other format to ease the handling in Excel. <strong>top_hash_health.xlsx</strong>: Excel datasheet. The most used hashtags inside the conversation about eHealth. <strong>topics_tweets_sdgsaccess.xlsx</strong>: Excel datasheet. Tweets by topic extracted using Machine Learning in the SDGs analysis. This repository will receive updates in the future in order to present all the data available and publishable from the different analysis that were described.
DOI: 10.5281/zenodo.7373533
title: Datasets containing the results from the analysis on SDGS and eHealth inside the Citizen Science Community on Twitter

description: This datasets contain the results from our analyses of the Citizen Science Community on Twitter. These analyses have been done to better understand the discussion about SDGs, eLearning and eHealth. <strong>T</strong>he purpose of sharing these datasets is to provide the basis to reproduce the results reported in the associated deliverable. These files are not raw data, since due to privacy concerns we can not share personal information from Twitter. <strong>dominant_topics_anonym.xlsx</strong>: Excel datasheet. This dataset contians the distribution of the most discussed topics inside the SDGs discussion. <strong>Edges_Hashtag_connected.csv</strong>: CSV file. This dataset contains the edges to build the network of connected hashtags. This edges can be used to build a network and explore the connections or to statiscally analyse the results. <strong>hashtags.csv</strong>: CSV file. This dataset contains the results of the most used hashtags in the analysis about eLearning. <br> <strong>hashtags_treemap_health.xlsx</strong>: Excel datasheet. This dataset contains the results of the most frequent hashtags in the eHealth analysis. <strong>ldavis_prepared_ieee17.html</strong>: HTML file. This file contains the Intertopic distance map and most salient terms from the topic modelling analysis done in the SDGs conversation study. <strong>Most_retweeted_accounts.xlsx</strong>: Excel datasheet. This dataset contains the top 20 users that receive more retweets in the conversation around eHealth. The column called Indegree refers to the topological value calculated from the network of retweets. This indegree is equivalent to the number of retweets received. On the other hand, Outdegree is the opposite, so number of retweets given to others. <strong>Most_retweeting_account.xlsx</strong>: Excel datasheet. This dataset presents the opposite part of the previous one, the accounts that retweet the most from the eHealth analysis. The columns contain the same indicators: Indegree and Outdegree. <strong>sdgs_count_publish.csv</strong>: CSV file. This dataset contains the number of tweets assigned to the different SDGs from the analysis done on the conversation about these Goals. <strong>sdgs_tweets_sdgsaccess.xlsx</strong>: Excel datasheet. Same file as the previous one in other format to ease the handling in Excel. <strong>top_hash_health.xlsx</strong>: Excel datasheet. The most used hashtags inside the conversation about eHealth. <strong>topics_tweets_sdgsaccess.xlsx</strong>: Excel datasheet. Tweets by topic extracted using Machine Learning in the SDGs analysis. This repository will receive updates in the future in order to present all the data available and publishable from the different analysis that were described.
DOI: 10.6084/m9.figshare.21517210
title: A narrative review of converging evidence addressing developmental toxicity of pyrethroid insecticides

description: Pyrethroid insecticides are broadly used in agriculture and household products throughout the world. Exposure to this class of insecticides is widespread, and while generally believed to be safe for use, there is increasing concern regarding their effects on neurodevelopment. Due to the critical roles that molecular targets of pyrethroids play in the regulation of neurodevelopment, particular focus has been placed on evaluating the effects of <i>in utero</i> and childhood pyrethroid exposure on child cognition and behavior. As such, this narrative review synthesizes an assessment of converging study types; we review reports of neonatal pyrethroid levels together with current epidemiological literature that convergently address the risk for developmental toxicity linked to exposure to pyrethroid insecticides. We first address studies that assess the degree of direct fetal exposure to pyrethroids <i>in utero</i> through measurements in cord blood, meconium, and amniotic fluid. We then focus on the links between prenatal exposure to these insecticides and child neurodevelopment, fetal growth, and other adverse birth outcomes. Furthermore, we assess the effects of postnatal exposure on child neurodevelopment through a review of the data on pediatric exposures and child cognitive and behavioral outcomes. Study quality was evaluated individually, and the weight of evidence was assessed broadly to characterize these effects. Overall, while definitive conclusions cannot be reached from the currently available literature, the available data suggest that the potential links between pyrethroid exposure and child neurodevelopmental effects deserve further investigation.
DOI: 10.6084/m9.figshare.21517210.v1
title: A narrative review of converging evidence addressing developmental toxicity of pyrethroid insecticides

description: Pyrethroid insecticides are broadly used in agriculture and household products throughout the world. Exposure to this class of insecticides is widespread, and while generally believed to be safe for use, there is increasing concern regarding their effects on neurodevelopment. Due to the critical roles that molecular targets of pyrethroids play in the regulation of neurodevelopment, particular focus has been placed on evaluating the effects of <i>in utero</i> and childhood pyrethroid exposure on child cognition and behavior. As such, this narrative review synthesizes an assessment of converging study types; we review reports of neonatal pyrethroid levels together with current epidemiological literature that convergently address the risk for developmental toxicity linked to exposure to pyrethroid insecticides. We first address studies that assess the degree of direct fetal exposure to pyrethroids <i>in utero</i> through measurements in cord blood, meconium, and amniotic fluid. We then focus on the links between prenatal exposure to these insecticides and child neurodevelopment, fetal growth, and other adverse birth outcomes. Furthermore, we assess the effects of postnatal exposure on child neurodevelopment through a review of the data on pediatric exposures and child cognitive and behavioral outcomes. Study quality was evaluated individually, and the weight of evidence was assessed broadly to characterize these effects. Overall, while definitive conclusions cannot be reached from the currently available literature, the available data suggest that the potential links between pyrethroid exposure and child neurodevelopmental effects deserve further investigation.
DOI: 10.5517/ccdc.csd.cc1prqqw
title: CCDC 1571939: Experimental Crystal Structure Determination

description: Related Article: Xiu-Guang Yi, Xiao-Niu Fang, Xiao-Ying Zhou, Yong-Xiu Lib, Yan-Zhu Liu|2019|Rev.Roum.Chim.|64|343|
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.cc1prqrx
title: CCDC 1571940: Experimental Crystal Structure Determination

description: Related Article: Xiu-Guang Yi, Xiao-Niu Fang, Xiao-Ying Zhou, Yong-Xiu Lib, Yan-Zhu Liu|2019|Rev.Roum.Chim.|64|343|
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.cc1yz9mv
title: CCDC 1816588: Experimental Crystal Structure Determination

description: Related Article: Rene Gree,  Layal Hariss,  Rima Ibrahim,  Nada Jaber,  ThierryRoisnel,  Ali Hachem|2018|Eur.J.Org.Chem.|2018|3782|doi:10.1002/ejoc.201800371
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.cc1yz9nw
title: CCDC 1816589: Experimental Crystal Structure Determination

description: Related Article: Rene Gree,  Layal Hariss,  Rima Ibrahim,  Nada Jaber,  ThierryRoisnel,  Ali Hachem|2018|Eur.J.Org.Chem.|2018|3782|doi:10.1002/ejoc.201800371
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.cc1yz9px
title: CCDC 1816590: Experimental Crystal Structure Determination

description: Related Article: Rene Gree,  Layal Hariss,  Rima Ibrahim,  Nada Jaber,  ThierryRoisnel,  Ali Hachem|2018|Eur.J.Org.Chem.|2018|3782|doi:10.1002/ejoc.201800371
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.cc1yz9qy
title: CCDC 1816591: Experimental Crystal Structure Determination

description: Related Article: Rene Gree,  Layal Hariss,  Rima Ibrahim,  Nada Jaber,  ThierryRoisnel,  Ali Hachem|2018|Eur.J.Org.Chem.|2018|3782|doi:10.1002/ejoc.201800371
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.cc1yz9rz
title: CCDC 1816592: Experimental Crystal Structure Determination

description: Related Article: Rene Gree,  Layal Hariss,  Rima Ibrahim,  Nada Jaber,  ThierryRoisnel,  Ali Hachem|2018|Eur.J.Org.Chem.|2018|3782|doi:10.1002/ejoc.201800371
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.