法医学杂志最新文献

{"title":"Application of Facial Expression Analysis Technology in Violence Risk Assessment of Individuals with Mental Disorders in Supervised Settings.","authors":"Xin-di Ling, Hao-Zhe Li, Shu-Jian Wang, Wen Li, Wei-Xiong Cai","doi":"10.12116/j.issn.1004-5619.2023.131101","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2023.131101","url":null,"abstract":"<p><strong>Objectives: </strong>To explore the association between violent behaviors and emotions in individuals with mental disorders, to evaluate the application value of facial expression analysis technology in violence risk assessment of individuals with mental disorders in supervised settings, and to provide a reference for violence risk assessment.</p><p><strong>Methods: </strong>Thirty-nine male individuals with mental disorders in supervised settings were selected, the participant risk of violence, cognitive function, psychiatric symptoms and severity were assessed using the Modified Overt Aggression Scale (MOAS), the Historical, Clinical, Risk Management-Chinese version(HCR-CV), the Positive and Negative Syndrome Scale (PANSS) and the Brief Psychiatric Rating Scale (BPRS). An emotional arousal was performed on the participants and the intensity of their emotions and facial expression action units was recorded before, during and after the arousal. One-way analysis of variance (ANOVA) was used to compare the differences in the intensity of emotions and facial expression action units before, during and after the arousal. Pearson correlation analysis was used to calculate the correlations between the intensity of the seven basic emotional facial expressions and the scores of the assessment scales.</p><p><strong>Results: </strong>The intensity difference of sadness, surprise and fear in different time periods was statistically significant (<i>P</i><0.05). The intensity of the left medial eyebrow lift action unit was found significantly different before and after the emotional arousal (<i>P</i><0.05). The intensity of anger was positively correlated with the Modified Overt Aggression Scale score throughout the experiment (<i>P</i><0.05).</p><p><strong>Conclusions: </strong>Eye action units such as eyebrow lifting, eyelid tightening and upper eyelid lifting can be used as effective action units to identify sadness, anger and other negative emotions associated with violent behaviors. Facial expression analysis technology can be used as an auxiliary tool to assess the potential risk of violence in individuals with mental disorders in supervised settings.</p>","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 3","pages":"261-268"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142008561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"鹏 贾, 宏 杰 孙, 景 如 沈, 建 国 吴, 健 孙, 绍 文 冼, 博 文 杨, 培 军 黄, 宇 宏 李, 准 吴, 旭 夫 易","doi":"10.12116/j.issn.1004-5619.2022.220705","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2022.220705","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 3","pages":"297-299"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142008552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"","authors":"盼 盼 袁, 瓯 翔 郑, 寒 坚 沈","doi":"10.12116/j.issn.1004-5619.2024.240207","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2024.240207","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 3","pages":"300-302"},"PeriodicalIF":0.0,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142008559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Identification of the degree of injury and the causality in renal rupture： A case report].","authors":"宁 陈, 响 吴, 寒 坚 沈","doi":"10.12116/j.issn.1004-5619.2024.240208","DOIUrl":"10.12116/j.issn.1004-5619.2024.240208","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"221-223"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adolescents and Children Age Estimation Using Machine Learning Based on Pulp and Tooth Volumes on CBCT Images.","authors":"Jia-Xuan Han, Shi-Hui Shen, Yi-Wen Wu, Xiao-Dan Sun, Tian-Nan Chen, Jiang Tao","doi":"10.12116/j.issn.1004-5619.2023.231210","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2023.231210","url":null,"abstract":"<p><strong>Objectives: </strong>To estimate adolescents and children age using stepwise regression and machine learning methods based on the pulp and tooth volumes of the left maxillary central incisor and cuspid on cone beam computed tomography (CBCT) images, and to compare and analyze the estimation results.</p><p><strong>Methods: </strong>A total of 498 Shanghai Han adolescents and children CBCT images of the oral and maxillofacial regions were collected. The pulp and tooth volumes of the left maxillary central incisor and cuspid were measured and calculated. Three machine learning algorithms (<i>K</i>-nearest neighbor, ridge regression, and decision tree) and stepwise regression were used to establish four age estimation models. The coefficient of determination, mean error, root mean square error, mean square error and mean absolute error were computed and compared. A correlation heatmap was drawn to visualize and the monotonic relationship between parameters was visually analyzed.</p><p><strong>Results: </strong>The <i>K</i>-nearest neighbor model (<i>R</i>²=0.779) and the ridge regression model (<i>R</i>²=0.729) outperformed stepwise regression (<i>R</i>²=0.617), while the decision tree model (<i>R</i>²=0.494) showed poor fitting. The correlation heatmap demonstrated a monotonically negative correlation between age and the parameters including pulp volume, the ratio of pulp volume to hard tissue volume, and the ratio of pulp volume to tooth volume.</p><p><strong>Conclusions: </strong>Pulp volume and pulp volume proportion are closely related to age. The application of CBCT-based machine learning methods can provide more accurate age estimation results, which lays a foundation for further CBCT-based deep learning dental age estimation research.</p>","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"143-148"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[The spirit of SONG Ci and the value of the times - To commemorate the 777th anniversary of the publication of The Washing Away of Wrongs by SONG Ci].","authors":"瑞 亭 黄, 新 山 陈","doi":"10.12116/j.issn.1004-5619.2022.420909","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2022.420909","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"192-195"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Comparison of epiphyseal development differences between male and female adolescents in the same age group： Two case reports].","authors":"慧 明 周, 丹 阳 李, 亚 辉 王","doi":"10.12116/j.issn.1004-5619.2024.240205","DOIUrl":"10.12116/j.issn.1004-5619.2024.240205","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"164-167"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.","authors":"Xuan Wei, Yu-Shan Chen, Jie Ding, Chang-Xing Song, Jun-Jing Wang, Zhao Peng, Zhen-Hua Deng, Xu Yi, Fei Fan","doi":"10.12116/j.issn.1004-5619.2023.231209","DOIUrl":"10.12116/j.issn.1004-5619.2023.231209","url":null,"abstract":"<p><strong>Objectives: </strong>To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern Chinese Han population.</p><p><strong>Methods: </strong>The head CT samples of 132 northern Chinese Han adults aged 29-80 years were retrospectively collected. Volume reconstruction (VR) and MPR were performed on the skull, and 160 cranial suture tomography images were generated for each sample. Then the MPR images of cranial sutures were scored according to the closure grading criteria, and the mean closure grades of sagittal suture, coronal sutures (both left and right) and lambdoid sutures (both left and right) were calculated respectively. Finally taking the above grades as independent variables, the linear regression model and four machine learning models for age estimation (gradient boosting regression, support vector regression, decision tree regression and Bayesian ridge regression) were established for northern Chinese Han adults age estimation. The accuracy of each model was evaluated.</p><p><strong>Results: </strong>Each cranial suture closure grade was positively correlated with age and the correlation of sagittal suture was the highest. All four machine learning models had higher age estimation accuracy than linear regression model. The support vector regression model had the highest accuracy among the machine learning models with a mean absolute error of 9.542 years.</p><p><strong>Conclusions: </strong>The combination of skull CT-MPR and machine learning model can be used for age estimation in northern Chinese Han adults, but it is still necessary to combine with other adult age estimation indicators in forensic practice.</p>","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"128-134"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Determining Whether an Individual is 18 Years or Older Based on the Third Molar Root Pulp Visibility in East China.","authors":"De-Min Huo, Kai-Jun Ma, Jing-Lan Xu, Xu Song, Xiao-Yan Mao, Xia Liu, Kai-Fang Zhao, Jian Zhang, Meng DU","doi":"10.12116/j.issn.1004-5619.2023.231206","DOIUrl":"https://doi.org/10.12116/j.issn.1004-5619.2023.231206","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the age-related changes of the mandibular third molar root pulp visibility in individuals in East China, and to explore the feasibility of applying this method to determine whether an individual is 18 years or older.</p><p><strong>Methods: </strong>A total of 1 280 oral panoramic images were collected from the 15-30 years old East China population, and the mandibular third molar root pulp visibility in all oral panoramic images was evaluated using OLZE 0-3 four-stage method, and the age distribution of the samples at each stage was analyzed using descriptive statistics.</p><p><strong>Results: </strong>Stages 0, 1, 2 and 3 first appeared in 16.88, 19.18, 21.91 and 25.44 years for males and in 17.47, 20.91, 22.01 and 26.01 years for females. In all samples, individuals at stages 1 to 3 were over 18 years old.</p><p><strong>Conclusions: </strong>It is feasible to determine whether an individual in East China is 18 years or older based on the mandibular third molar root pulp visibility on oral panoramic images.</p>","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"149-153"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Identification of human body injury in bilateral oblique inguinal hernia combined with small intestine rupture： A case report].","authors":"霞 陈, 海 燕 施, 月 江 李, 祥 和 宋, 勇 孙","doi":"10.12116/j.issn.1004-5619.2024.240204","DOIUrl":"10.12116/j.issn.1004-5619.2024.240204","url":null,"abstract":"","PeriodicalId":12317,"journal":{"name":"法医学杂志","volume":"40 2","pages":"219-220"},"PeriodicalIF":0.0,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141283395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}