cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20054964
title: The efficacy and safety of cyclosporine A plus androgen versus androgen alone for adult patients with non-severe aplastic anemia in China: a meta-analysis of randomized controlled trials

description: Whether combined CsA with androgen therapy was superior to androgen therapy alone in NSAA remains controversial. This study aimed to assess the efficacy and safety of combined therapy versus androgen therapy for NSAA patients using a meta-analytic approach. An electronic database of PubMed, EmBase, Cochrane library, CNKI, VIP, and Wanfang was systematically searched for randomized controlled trials (RCTs) from their inception to February 2020. The primary endpoint was effective rate, while the secondary endpoints included white blood cell (WBC), hemoglobin, platelet, and potential adverse events. The pooled results from included trials were calculated with the random-effects model. Forty-three RCTs recruited 2610 NSAA patients for the final quantitative meta-analysis. We noted that combined therapy was associated with an increased incidence of effective rate than androgen therapy alone (relative risk [RR]: 1.35; 95% confidence interval [CI]: 1.29–1.41; <i>P</i> &lt; 0.001). Moreover, patients treated with combined therapy were associated with higher WBC (weighted mean difference [WMD]: 1.22; 95%CI: 0.94–1.49; <i>P</i> &lt; 0.001), hemoglobin (WMD: 12.93; 95%CI: 8.86–17.01; <i>P</i> &lt; 0.001), and platelet (WMD: 8.65; 95%CI: 7.05–10.24; <i>P</i> &lt; 0.001). Finally, the pooled incidence of hirsutism, handshake, gingiva hyperplasia, liver function damage, and renal function damage were 0.35 (95%CI: 0.22–0.48), 0.24 (95%CI: 0.15–0.32), 0.22 (95%CI: 0.10–0.35), 0.19 (95%CI: 0.14–0.25), and 0.06 (95%CI: 0.01–0.11), respectively. This study found that combined CsA with androgen therapy was superior to androgen therapy alone for Chinese patients with NSAA, and the most common adverse of combined therapy included hirsutism, handshake, gingiva hyperplasia, liver function damage, and renal function damage.
DOI: 10.6084/m9.figshare.18482032
title: Additional file 12 of Application of artificial intelligence in a real-world research for predicting the risk of liver metastasis in T1 colorectal cancer

description: Additional file 12: Original data of inner testing set of SEER.
DOI: 10.6084/m9.figshare.19531603
title: Plum rain enhances greenhouse gas fluxes through porewater exchange and weakens the acidification buffering potential in saltmarshes

description: The data of radon and greenhouse gases in saltmarsh porewater and surface water during the plum rain.<br>
DOI: 10.6084/m9.figshare.22153046
title: Characteristics and predictors of low-grade renal artery stenosis in female patients with CKD

description: Renal artery stenosis (RAS) is an important cause of chronic kidney disease (CKD). The main purpose of this study was to explore the clinical characteristics and predictors of low-grade RAS in female patients with CKD. One hundred and five female CKD patients from Huadong Hospital affiliated with Fudan University who underwent 3 T non-contrast renal artery magnetic resonance angiography (MRA) were analyzed. Basic statistics methods were used in the study, such as independent-sample t test,non-parametric test, binary logistic regression analysis and ROC analysis. In this cross-sectional study, there were 50 patients with RAS and 55 without RAS (47.6% versus 52.4%). Binary logistic regression analysis demonstrated that low-level ALB and lymphocyte count, high-level SP, BUN and NLR were independent risk factors for low-grade RAS in female patients with CKD. ROC analysis indicated that eGFR, FeNa and UBCR, ALB, lymphocyte count and NLR had the best predictive value for low-grade RAS, especially eGFR with a sensitivity of 65.50% and specificity of 72.00% and FeNa with a sensitivity of 71.10% and specificity of 72.20% and BUCR with a sensitivity of 71.10% and specificity of 68.10%. In female patients with CKD, FeNa, eGFR, ALB, UBCR, lymphocyte count and NLR may be good predictors of low-grade RAS, especially eGFR, FeNa and BUCR.
DOI: 10.6084/m9.figshare.22153046.v1
title: Characteristics and predictors of low-grade renal artery stenosis in female patients with CKD

description: Renal artery stenosis (RAS) is an important cause of chronic kidney disease (CKD). The main purpose of this study was to explore the clinical characteristics and predictors of low-grade RAS in female patients with CKD. One hundred and five female CKD patients from Huadong Hospital affiliated with Fudan University who underwent 3 T non-contrast renal artery magnetic resonance angiography (MRA) were analyzed. Basic statistics methods were used in the study, such as independent-sample t test,non-parametric test, binary logistic regression analysis and ROC analysis. In this cross-sectional study, there were 50 patients with RAS and 55 without RAS (47.6% versus 52.4%). Binary logistic regression analysis demonstrated that low-level ALB and lymphocyte count, high-level SP, BUN and NLR were independent risk factors for low-grade RAS in female patients with CKD. ROC analysis indicated that eGFR, FeNa and UBCR, ALB, lymphocyte count and NLR had the best predictive value for low-grade RAS, especially eGFR with a sensitivity of 65.50% and specificity of 72.00% and FeNa with a sensitivity of 71.10% and specificity of 72.20% and BUCR with a sensitivity of 71.10% and specificity of 68.10%. In female patients with CKD, FeNa, eGFR, ALB, UBCR, lymphocyte count and NLR may be good predictors of low-grade RAS, especially eGFR, FeNa and BUCR.
DOI: 10.6084/m9.figshare.18482035
title: Additional file 13 of Application of artificial intelligence in a real-world research for predicting the risk of liver metastasis in T1 colorectal cancer

description: Additional file 13: Original data of inner training set of SEER.
DOI: 10.6084/m9.figshare.18482038.v1
title: Additional file 14 of Application of artificial intelligence in a real-world research for predicting the risk of liver metastasis in T1 colorectal cancer

description: Additional file 14: Original data of outer validation set from Xijing hospital.
DOI: 10.6084/m9.figshare.10094495
title: MOESM1 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 1: Table S1. Genomic regions explained more than 1% of genetic variance for the number of sperm cells.
DOI: 10.6084/m9.figshare.10094495.v1
title: MOESM1 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 1: Table S1. Genomic regions explained more than 1% of genetic variance for the number of sperm cells.
DOI: 10.6084/m9.figshare.10094504
title: MOESM2 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 2: Table S2. Genomic regions explained more than 1% of genetic variance for sperm motility.
DOI: 10.6084/m9.figshare.10094504.v1
title: MOESM2 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 2: Table S2. Genomic regions explained more than 1% of genetic variance for sperm motility.
DOI: 10.6084/m9.figshare.10094513
title: MOESM3 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 3: Table S3. Genomic regions explained more than 1% of genetic variance for progressive motility.
DOI: 10.6084/m9.figshare.10094513.v1
title: MOESM3 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 3: Table S3. Genomic regions explained more than 1% of genetic variance for progressive motility.
DOI: 10.6084/m9.figshare.10094522
title: MOESM4 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 4: Table S4. Genomic regions explained more than 1% of genetic variance for total morphological abnormalities.
DOI: 10.6084/m9.figshare.10094522.v1
title: MOESM4 of Weighted single-step GWAS identified candidate genes associated with semen traits in a Duroc boar population

description: Additional file 4: Table S4. Genomic regions explained more than 1% of genetic variance for total morphological abnormalities.
DOI: 10.6084/m9.figshare.14287396
title: Oxidative stress and antioxidant defense in detoxification systems of snake venom-induced toxicity

description: Abstract Background: Snakebites remain a major life-threatening event worldwide. It is still difficult to make a positive identification of snake species by clinicians in both Western medicine and Chinese medicine. The main reason for this is a shortage of diagnostic biomarkers and lack of knowledge about pathways of venom-induced toxicity. In traditional Chinese medicine, snakebites are considered to be treated with wind, fire, and wind-fire toxin, but additional studies are required. Methods: Cases of snakebite seen at the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine were grouped as follows: fire toxin - including four cases of bites by Agkistrodon acutus and three bites by Trimeresurus stejnegeri - and wind-fire toxin - four cases of bites by vipers and three bites by cobras. Serum protein quantification was performed using LC-MS/MS. Differential abundance proteins (DAPs) were identified from comparison of snakebites of each snake species and healthy controls. The protein interaction network was constructed using STITCH database. Results: Principal component analysis and hierarchical clustering of 474 unique proteins exhibited protein expression profiles of wind-fire toxins that are distinct from that of fire toxins. Ninety-three DAPs were identified in each snakebite subgroup as compared with healthy control, of which 38 proteins were found to have significantly different expression levels and 55 proteins displayed no expression in one subgroup, by subgroup comparison. GO analysis revealed that the DAPs participated in bicarbonate/oxygen transport and hydrogen peroxide catabolic process, and affected carbon-oxygen lyase activity and heme binding. Thirty DAPs directly or indirectly acted on hydrogen peroxide in the interaction network of proteins and drug compounds. The network was clustered into four groups: lipid metabolism and transport; IGF-mediated growth; oxygen transport; and innate immunity. Conclusions: Our results show that the pathways of snake venom-induced toxicity may form a protein network of antioxidant defense by regulating oxidative stress through interaction with hydrogen peroxide.
DOI: 10.6084/m9.figshare.25204154
title: Flower fpkm of <i>Chrysanthemum morifolium</i>

description: Flower fpkm of <i>Chrysanthemum morifolium</i>
DOI: 10.6084/m9.figshare.25204154.v1
title: Flower fpkm of <i>Chrysanthemum morifolium</i>

description: Flower fpkm of <i>Chrysanthemum morifolium</i>
DOI: 10.6084/m9.figshare.7473134
title: Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling

description: In latent Dirichlet allocation, the number of topics, <i>T</i>, is a hyperparameter of the model that must be specified before one can fit the model. The need to specify <i>T</i> in advance is restrictive. One way of dealing with this problem is to put a prior on <i>T</i>, but unfortunately the distribution on the latent variables of the model is then a mixture of distributions on spaces of different dimensions, and estimating this mixture distribution by Markov chain Monte Carlo is very difficult. We present a variant of the Metropolis–Hastings algorithm that can be used to estimate this mixture distribution, and in particular the posterior distribution of the number of topics. We evaluate our methodology on synthetic data and compare it with procedures that are currently used in the machine learning literature. We also give an illustration on two collections of articles from Wikipedia. Supplemental materials for this article are available online.
DOI: 10.6084/m9.figshare.7473134.v2
title: Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling

description: In latent Dirichlet allocation, the number of topics, <i>T</i>, is a hyperparameter of the model that must be specified before one can fit the model. The need to specify <i>T</i> in advance is restrictive. One way of dealing with this problem is to put a prior on <i>T</i>, but unfortunately the distribution on the latent variables of the model is then a mixture of distributions on spaces of different dimensions, and estimating this mixture distribution by Markov chain Monte Carlo is very difficult. We present a variant of the Metropolis–Hastings algorithm that can be used to estimate this mixture distribution, and in particular the posterior distribution of the number of topics. We evaluate our methodology on synthetic data and compare it with procedures that are currently used in the machine learning literature. We also give an illustration on two collections of articles from Wikipedia. Supplemental materials for this article are available online.
DOI: 10.6084/m9.figshare.7473134.v1
title: Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modelling

description: In Latent Dirichlet Allocation, the number of topics, <i>T</i>, is a hyperparameter of the model that must be specified before one can fit the model. The need to specify <i>T</i> in advance is restrictive. One way of dealing with this problem is to put a prior on <i>T</i>, but unfortunately the distribution on the latent variables of the model is then a mixture of distributions on spaces of different dimensions, and estimating this mixture distribution by Markov chain Monte Carlo is very difficult. We present a variant of the Metropolis-Hastings algorithm that can be used to estimate this mixture distribution, and in particular the posterior distribution of the number of topics. We evaluate our methodology on synthetic data, and compare it with procedures that are currently used in the machine learning literature. We also give an illustration on two collections of articles from Wikipedia. Supplemental materials for the paper are available online.
DOI: 10.6084/m9.figshare.20054962.v1
title: Outcomes and risk factors of hemorrhagic cystitis in pediatric allogeneic hematopoietic stem cell transplantation recipients using different graft source and condition with severe aplastic anemia

description: Hemorrhagic cystitis (HC) is a severe complication of allo-HSCT, characterized by irritative symptoms of the urinary tract and a higher morbidity rate. The risk factors and prognosis of HC are still unclear. The objective of this study is to identify risk factors and outcomes to improve treatment in pediatric SAA patients undergoing HSCTs in the Children's Hospital of Soochow University. A total of 97 SAA patients as a cohort were enrolled from 2010 to 2019 in the Children's Hospital of Soochow University and a number of factors related to HC and outcomes were analysed. In all transplants (except UCBT), patients received a combination of G-CSF stimulated bone marrow (BM) and peripheral blood stem cell (PBSC). The minimum number of CD34 + cells is 5 × 10<sup>6</sup> cells/kg. Mononuclear cells dose (MNC, cut off: 8.53 × 10<sup>8</sup>/kg) and grade II–IV acute graft versus host disease (aGVHD) were identified as independent risk factors for HC. Patients without HC had better overall survival (OS) than with HC (No HC: 98.6%±1.4% vs HC: 87.4% ± 6.8%, <i>p</i> = 0.03). We concluded that aGVHD and MNC dose in graft might play an important role in the development of HC in pediatric SAA patients undergoing allo-HSCT. HC is also a key complication affecting the prognosis of children with SAA after allo-HSCT.
DOI: 10.6084/m9.figshare.20054964.v1
title: The efficacy and safety of cyclosporine A plus androgen versus androgen alone for adult patients with non-severe aplastic anemia in China: a meta-analysis of randomized controlled trials

description: Whether combined CsA with androgen therapy was superior to androgen therapy alone in NSAA remains controversial. This study aimed to assess the efficacy and safety of combined therapy versus androgen therapy for NSAA patients using a meta-analytic approach. An electronic database of PubMed, EmBase, Cochrane library, CNKI, VIP, and Wanfang was systematically searched for randomized controlled trials (RCTs) from their inception to February 2020. The primary endpoint was effective rate, while the secondary endpoints included white blood cell (WBC), hemoglobin, platelet, and potential adverse events. The pooled results from included trials were calculated with the random-effects model. Forty-three RCTs recruited 2610 NSAA patients for the final quantitative meta-analysis. We noted that combined therapy was associated with an increased incidence of effective rate than androgen therapy alone (relative risk [RR]: 1.35; 95% confidence interval [CI]: 1.29–1.41; <i>P</i> &lt; 0.001). Moreover, patients treated with combined therapy were associated with higher WBC (weighted mean difference [WMD]: 1.22; 95%CI: 0.94–1.49; <i>P</i> &lt; 0.001), hemoglobin (WMD: 12.93; 95%CI: 8.86–17.01; <i>P</i> &lt; 0.001), and platelet (WMD: 8.65; 95%CI: 7.05–10.24; <i>P</i> &lt; 0.001). Finally, the pooled incidence of hirsutism, handshake, gingiva hyperplasia, liver function damage, and renal function damage were 0.35 (95%CI: 0.22–0.48), 0.24 (95%CI: 0.15–0.32), 0.22 (95%CI: 0.10–0.35), 0.19 (95%CI: 0.14–0.25), and 0.06 (95%CI: 0.01–0.11), respectively. This study found that combined CsA with androgen therapy was superior to androgen therapy alone for Chinese patients with NSAA, and the most common adverse of combined therapy included hirsutism, handshake, gingiva hyperplasia, liver function damage, and renal function damage.
DOI: 10.24403/jp.1320328
title: Exkursion zu den Hörsel-Bergen am 12. Juni 1983 / K.-F. Günther
DOI: 10.24403/jp.1320329
title: Exkursion ins untere Wethautal südöstlich Naumburg am 19. Juni 1983 / A. Keding
DOI: 10.24403/jp.1320330
title: Exkursion in das Meininger Muschelkalkgebiet bei Untermaßfeld am 3. Juli 1983 / P. Heerlein
DOI: 10.24403/jp.1320331
title: Exkursion an die Steppenhänge der Mühlhausen-Langensalzaer Keupermulde nördlich der Unstrut am 17. Juli 1983 / F. K. Meyer
DOI: 10.6084/m9.figshare.18482043
title: Additional file 4 of Systematic pan-cancer landscape identifies CARM1 as a potential prognostic and immunological biomarker

description: Additional files 4: Table S1. Subgroup analysis on the correlation of CARM1 expression and prognosis of gastric cancer cases.
DOI: 10.6084/m9.figshare.18482046.v1
title: Additional file 5 of Systematic pan-cancer landscape identifies CARM1 as a potential prognostic and immunological biomarker

description: Additional files 5: Table S2. Subgroup analysis on the correlation of CARM1 expression and prognosis of liver cancer cases.
DOI: 10.6084/m9.figshare.18482049
title: Additional file 6 of Systematic pan-cancer landscape identifies CARM1 as a potential prognostic and immunological biomarker

description: Additional files 6: Table S3. Subgroup analysis on the correlation of CARM1 expression and prognosis of ovarian cancer cases.
DOI: 10.6084/m9.figshare.14287868
title: DEVELOPMENT OF A HYBRID FUZZY GENETIC ALGORITHM MODEL FOR SOLVING TRANSPORTATION SCHEDULING PROBLEM

description: ABSTRACT There has been an increasing public demand for passenger rail service in the recent times leading to a strong focus on the need for effective and efficient use of resources and managing the increasing passenger requirements, service reliability and variability by the railway management. Whilst shortening the passengers’ waiting and travelling time is important for commuter satisfaction, lowering operational costs is equally important for railway management. Hence, effective and cost optimised train scheduling based on the dynamic passenger demand is one of the main issues for passenger railway management. Although the passenger railway scheduling problem has received attention in operations research in recent years, there is limited literature investigating the adoption of practical approaches that capitalize on the merits of mathematical modeling and search algorithms for effective cost optimization. This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize total operational costs at a satisfactory level of customer service. This hybrid approach integrates genetic algorithm with the fuzzy logic approach which uses the fuzzy controller to determine the crossover rate and mutation rate in genetic algorithm approach in the optimization process. The numerical study demonstrates the improvement of the proposed hybrid approach, and the fuzzy genetic algorithm has demonstrated its effectiveness to generate better results than standard genetic algorithm and other traditional heuristic approaches, such as simulated annealing.
DOI: 10.6084/m9.figshare.14287868.v1
title: DEVELOPMENT OF A HYBRID FUZZY GENETIC ALGORITHM MODEL FOR SOLVING TRANSPORTATION SCHEDULING PROBLEM

description: ABSTRACT There has been an increasing public demand for passenger rail service in the recent times leading to a strong focus on the need for effective and efficient use of resources and managing the increasing passenger requirements, service reliability and variability by the railway management. Whilst shortening the passengers’ waiting and travelling time is important for commuter satisfaction, lowering operational costs is equally important for railway management. Hence, effective and cost optimised train scheduling based on the dynamic passenger demand is one of the main issues for passenger railway management. Although the passenger railway scheduling problem has received attention in operations research in recent years, there is limited literature investigating the adoption of practical approaches that capitalize on the merits of mathematical modeling and search algorithms for effective cost optimization. This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize total operational costs at a satisfactory level of customer service. This hybrid approach integrates genetic algorithm with the fuzzy logic approach which uses the fuzzy controller to determine the crossover rate and mutation rate in genetic algorithm approach in the optimization process. The numerical study demonstrates the improvement of the proposed hybrid approach, and the fuzzy genetic algorithm has demonstrated its effectiveness to generate better results than standard genetic algorithm and other traditional heuristic approaches, such as simulated annealing.
DOI: 10.24403/jp.1320332
title: Exkursion durch die Muschelkalk- und Buntsandsteinvegetation im unteren Hexengrund bei Heilingen westlich Orlamünde am 31. Juli 1983 / F. K. Meyer
DOI: 10.24403/jp.1320333
title: Exkursion Orlatal - Neustädter Teichgebiet am 14. August 1983 / H.-J. Zündorf
DOI: 10.24403/jp.1320334
title: Pilzexkursion nach Paulinzella - Singen am 25. September 1983 / G. Hirsch
DOI: 10.6084/m9.figshare.18482292
title: Additional file 1 of Development and validation of a novel 3-gene prognostic model for pancreatic adenocarcinoma based on ferroptosis-related genes

description: Additional file 1. Different expressed genes (DEGs) between three clusters.