Collaborative filtering algorithms(CF)and mass diffusion(MD)algorithms have been successfully applied to recommender systems for years and can solve the problem of information overload.However,both algorithms suffer f...Collaborative filtering algorithms(CF)and mass diffusion(MD)algorithms have been successfully applied to recommender systems for years and can solve the problem of information overload.However,both algorithms suffer from data sparsity,and both tend to recommend popular products,which have poor diversity and are not suitable for real life.In this paper,we propose a user internal similarity-based recommendation algorithm(UISRC).UISRC first calculates the item-item similarity matrix and calculates the average similarity between items purchased by each user as the user’s internal similarity.The internal similarity of users is combined to modify the recommendation score to make score predictions and suggestions.Simulation experiments on RYM and Last.FM datasets,the results show that UISRC can obtain better recommendation accuracy and a variety of recommendations than traditional CF and MD algorithms.展开更多
Objective:To report a fetus with ARCN1-related syndrome caused by a novel de novo heterozygous variant,highlighting the importance of early genetic diagnosis in prenatal care.Methods:The clinical and genetic data of a...Objective:To report a fetus with ARCN1-related syndrome caused by a novel de novo heterozygous variant,highlighting the importance of early genetic diagnosis in prenatal care.Methods:The clinical and genetic data of a fetus with a complex combination of clinical signs and a novel de novo heterozygous variant were collected and have been summarized in this study.The potential pathogenic variant was identified throughout the whole exome sequencing and the effects of candidate variants were further validated by a minigene splicing assay.Results:Prenatal systematic ultrasound detected fetal growth restriction.Genetic analysis identified a novel de novo heterozygous variant within the ARCN1 gene—c.1241+5G>A—located in intron 8.In vitro minigene splicing assays demonstrated that the variant led to two abnormal transcripts.The longer transcript retained 189 base pairs of intron 8,resulting in a truncated protein of 414 amino acids(p.Ser415*).The shorter transcript involved exon 8 skippings,producing a truncated protein of 407 amino acids(p.Ile378Serfs*31).Conclusion:A novel de novo heterozygous variant of the ARCN1 gene,namely NM_001655.5:c.1241+5G>A,was discovered and identified in a fetus with rhizomelic short stature,microretrognathia,and developmental delays.展开更多
Objective:To evaluate the diagnostic efficacy and clinical application of the Obstetrical Chinese Disseminated Intravascular Coagulation(DIC)Scoring System(OCDSS).Methods:This study is a retrospective study that colle...Objective:To evaluate the diagnostic efficacy and clinical application of the Obstetrical Chinese Disseminated Intravascular Coagulation(DIC)Scoring System(OCDSS).Methods:This study is a retrospective study that collected 1063 cases from Wuhan Union Hospital,Yichang Central People’s Hospital,and the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture between July 2017 and June 2024.These cases were divided into DIC and non-DIC groups based on score standard.Diagnosis of DIC,the rate of hysterectomy,neonatal mortality,and severe asphyxia are the main outcome measures.All the laboratory indicators are all determined by clinical laboratory department of the hospital.Data were expressed as mean±standard deviation or median(interquartile range)and frequencies.Independent sample t-test or non-parametric test were used to compare measurement data,while the chi-square test was used for count data.Receiver operating characteristic(ROC)curve and area under curve(AUC)were used to test the predictive accuracy.Using univariate and multivariate logistic regression analysis to study the high-risk factors.P<0.050 indicates a statistical significance.Results:Of 1063 participants in this study,29 participants(2.73%)were diagnosed with obstetrical DIC by OCDSS score standard,and all the participants were diagnosed as DIC with underlying disease.When the Takao,Clark,and Erez score standard is the“gold standard”,the OCDSS score standard always shows good sensitivity and specificity,with all the AUC over 0.75.OCDSS score standard also has better predictive of hysterectomy(68.18%,91.07%,0.872),severe neonatal asphyxia and death(79.17%,75.07%,0.842)than the other three score standards.All the indicators included in the OCDSS score standard contributed to the DIC diagnosis(all the P<0.001).The indicators in the DIC group were more abnormal than the non-DIC group(all the P<0.001).Conclusion:OCDSS is a first score standard,especially for pregnancies,it considers the underlying disease,clinical symptoms,and laboratory results.This score system shared a good diagnosis performance for DIC in the Chinese population and may help clinicians make timely decisions.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.61703212).
文摘Collaborative filtering algorithms(CF)and mass diffusion(MD)algorithms have been successfully applied to recommender systems for years and can solve the problem of information overload.However,both algorithms suffer from data sparsity,and both tend to recommend popular products,which have poor diversity and are not suitable for real life.In this paper,we propose a user internal similarity-based recommendation algorithm(UISRC).UISRC first calculates the item-item similarity matrix and calculates the average similarity between items purchased by each user as the user’s internal similarity.The internal similarity of users is combined to modify the recommendation score to make score predictions and suggestions.Simulation experiments on RYM and Last.FM datasets,the results show that UISRC can obtain better recommendation accuracy and a variety of recommendations than traditional CF and MD algorithms.
基金supported by grants from the National Natural Science Foundation of China(General Program,No.82171678)the Science,Technology,and Innovation Commission of Shenzhen Municipality(No.JCYJ20200109140614667)+1 种基金the Shenzhen Science and Technology Innovation Program(No.JCYJ20230807143504009)the Natural Science Foundation of Hubei Province(No.2023AFC018).
文摘Objective:To report a fetus with ARCN1-related syndrome caused by a novel de novo heterozygous variant,highlighting the importance of early genetic diagnosis in prenatal care.Methods:The clinical and genetic data of a fetus with a complex combination of clinical signs and a novel de novo heterozygous variant were collected and have been summarized in this study.The potential pathogenic variant was identified throughout the whole exome sequencing and the effects of candidate variants were further validated by a minigene splicing assay.Results:Prenatal systematic ultrasound detected fetal growth restriction.Genetic analysis identified a novel de novo heterozygous variant within the ARCN1 gene—c.1241+5G>A—located in intron 8.In vitro minigene splicing assays demonstrated that the variant led to two abnormal transcripts.The longer transcript retained 189 base pairs of intron 8,resulting in a truncated protein of 414 amino acids(p.Ser415*).The shorter transcript involved exon 8 skippings,producing a truncated protein of 407 amino acids(p.Ile378Serfs*31).Conclusion:A novel de novo heterozygous variant of the ARCN1 gene,namely NM_001655.5:c.1241+5G>A,was discovered and identified in a fetus with rhizomelic short stature,microretrognathia,and developmental delays.
基金supported by the National Natural Science Foundation of China(General Program,No.82171678)Shenzhen Science and Technology Program(No.JCYJ20230807143504009)Science,Technology and Innovation Commission of Shenzhen Municipality(No.JCYJ20200109140614667).
文摘Objective:To evaluate the diagnostic efficacy and clinical application of the Obstetrical Chinese Disseminated Intravascular Coagulation(DIC)Scoring System(OCDSS).Methods:This study is a retrospective study that collected 1063 cases from Wuhan Union Hospital,Yichang Central People’s Hospital,and the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture between July 2017 and June 2024.These cases were divided into DIC and non-DIC groups based on score standard.Diagnosis of DIC,the rate of hysterectomy,neonatal mortality,and severe asphyxia are the main outcome measures.All the laboratory indicators are all determined by clinical laboratory department of the hospital.Data were expressed as mean±standard deviation or median(interquartile range)and frequencies.Independent sample t-test or non-parametric test were used to compare measurement data,while the chi-square test was used for count data.Receiver operating characteristic(ROC)curve and area under curve(AUC)were used to test the predictive accuracy.Using univariate and multivariate logistic regression analysis to study the high-risk factors.P<0.050 indicates a statistical significance.Results:Of 1063 participants in this study,29 participants(2.73%)were diagnosed with obstetrical DIC by OCDSS score standard,and all the participants were diagnosed as DIC with underlying disease.When the Takao,Clark,and Erez score standard is the“gold standard”,the OCDSS score standard always shows good sensitivity and specificity,with all the AUC over 0.75.OCDSS score standard also has better predictive of hysterectomy(68.18%,91.07%,0.872),severe neonatal asphyxia and death(79.17%,75.07%,0.842)than the other three score standards.All the indicators included in the OCDSS score standard contributed to the DIC diagnosis(all the P<0.001).The indicators in the DIC group were more abnormal than the non-DIC group(all the P<0.001).Conclusion:OCDSS is a first score standard,especially for pregnancies,it considers the underlying disease,clinical symptoms,and laboratory results.This score system shared a good diagnosis performance for DIC in the Chinese population and may help clinicians make timely decisions.
