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目的基于简单易得的临床资料，开发并验证２型糖尿病（T2DM）患者并发威胁视力的视网膜病变（VTDR）的风险预测模型，为基层医院提供便捷有效的预测工具，以便早期识别和转诊高危人群。方法使用2017年至2020年广州糖尿病眼病研究中T2DM患者临床数据构建列线图预测模型。使用Logistic回归分析VTDR的影响因素并建立模型，受试者工作特征曲线（ROC）、Hosmer-Lemeshow检验、校准曲线、决策曲线（DCA）用于评价模型的性能。使用k折交叉验证得到的平均ROC下面积对模型进行内部验证，使用东莞眼科研究数据对模型进行外部验证。结果建模集共纳入患者2 161例，并发VTDR者135例（6.25%）。年龄（P＜0.001，OR=0.927，95%CI：0.898~0.957）、体质量指数（P＜0.001，OR =0.845，95%CI：0.821~0.932）与VTDR负相关，糖尿病病程（P＜0.001，OR=1.064，95%CI：1.035~1.094）、是否使用胰岛素（P =0.045，OR =1.534，95%CI：1.010~2.332）、收缩压（P＜0.001，OR =1.019，95%CI：1.008~1.029）、糖化血红蛋白（P＜0.001，OR =1.484，95%CI：1.341~1.643）和血清肌酐（P＜0.001，OR =1.017，95%CI：1.010~1.023）与VTDR正相关，均被纳入模型。ROC提示建模集和验证集中该模型预测VTDR发生的曲线下面积分别为0.797和0.762；Hosmer-Lemeshow检验（P＞0.05）及校准曲线表明预测概率与观测概率具有较高一致性；DCA表明模型在建模集和验证集中均能产生净效益。结论年龄、糖尿病病程、是否使用胰岛素、体质量指数、收缩压、糖化血红蛋白和血清肌酐是VTDR的独立影响因素，基于上述变量构建的列线图模型有良好的预测效力，可以为基层医院早期识别和转诊VTDR提供科学依据，值得应用推广。

目的人工智能（AI）全涂片自动化硅藻检验技术能比人类专家更快速、高效进行法医病理学溺死硅藻检验。然而，该技术仅与硅藻提取率较低的硝酸消化法联用过，本研究拟采用更加高效的蛋白酶K组织消解法（以下简称酶消化法）作为硅藻提取方法，探究该技术在其他硅藻提取方法中的泛化能力及可行性。方法收集6例溺死尸体的肺组织进行蛋白酶K消解并制成涂片，利用数字化图像矩阵切割方法将涂片进行数字化处理并据此建立硅藻-背景数据库，将数据集按照3：1：1的比例分为训练集、验证集和测试集，在ImageNet预训练基础上对卷积神经网络（CNN）模型进行训练和内部验证及外部测试。结果结果显示最佳模型外部测试的准确率达97.65%，且模型特征提取区域即为硅藻所在区域。实际应用中最佳的CNN模型对溺水尸体的硅藻检测精准率高达80 %以上。结论研究表明，基于CNN模型的AI自动化硅藻检验技术和酶消化法联用能高效识别硅藻，可以作为溺水鉴定中硅藻检测的辅助方法。

目的探讨外周血白细胞端粒长度与慢性心力衰竭（CHF）发生风险的相关性。方法本研究招募了224例患者，根据左心室射血分数分为非CHF（Non-CHF）组（117例）和CHF组（107例），用实时荧光定量多聚核苷酸链式反应（ qPCR） 进行外周血白细胞端粒长度的测量。比较Non-CHF组和CHF组患者端粒长度，并采用二元 Logistic回归模型分析端粒长度与CHF发生风险是否相关。结果Non-CHF组和CHF组患者外周血白细胞端粒相对长度分别为0.9（0.64~1.18）、0.7（0.53~0.89），CHF组患者的端粒长度比Non-CHF组患者缩短，差异有统计学意义 （PPP

【目的】对1例斑驳病小家系中的先证者进行致病基因KIT和SLUG（SNAI2）编码序列的突变检测，寻找致病性 突变。【方法】应用PCR扩增KIT和SLUG基因编码区及外显子-内含子交界区，对PCR产物进行直接测序。在50例正常对 照中进行新突变的测序分析，以排除多态性。【结果】家系先证者SLUG基因检测未发现异常，KIT基因检测到1个国际数据 库中尚未报道的点突变c.860T>A（p.V287E），患者父母均未检测到此突变。该突变位于KIT基因编码蛋白的细胞外配体结 合区域，第287位的缬氨酸突变为谷氨酸，可能导致了与249位谷氨酸相排斥，破坏了D3结构域中βD 和βD/βE稳定性，最 终影响SCF（stem cell factor）的结合功能。【结论】KIT基因的新生突变可能是引起本重型斑驳病患者发病的原因。

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By comparing and analyzing the solidification/stabilization technology of heavy metals in fly ash, it is found that the chemical stabilization method is simple in operation, low in energy eonsumption, and easy to realize the large-scale disposal of fly ash, but there is also a problem of expensive chemicals. If the chemical additive agent is combined w让h the mechanochemical method to dispose the heavy metals in fly ash, it can react with heavy metal compounds under the action of mechanical force, and generate insoluble heavy metal compounds to achieve the effect of stabilizing heavy metals. The disposal process has low energy consumption, less add让ive amount and can stabilize multiple heavy metals at the same time, which is expected to realize the harmless and resource utilization of fly ash on a large scale. In addition, the leaching risk of heavy metals in fly ash after disposal is easily affected by environmental factors, and the control mechanism of different leaching stages is also different. The eommonly used environmental Risk assessment code(RAC) only considers the proportion of mild acido-soluble fraction state when calculating the environmental risk of fly ash after disposal, which may lead to differences in the evaluation results. In order to accurately predict the environmental risk of fly ash after disposal, a combination of multiple evaluation methods to evaluate the environmental risk of fly ash after disposal may better reflect the accuracy of the evaluation results. The development of new effective and cost chemical stabilizers combined w让h meehanochemieal methods to treat heavy metals in fly ash is an important means to control heavy metals in waste incineration fly ash, and it is necessary to further improve the environmental risk assessment system of fly ash after disposal. [ABSTRACT FROM AUTHOR]

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In order to improve the efficiency of domestic wastewater treatment process design, a wastewater treatment process database was established to save data samples abstracted from real domestic wastewater treatment processes, and the process was selected by the support vector machine classification algorithm based on boundary points(BP-SVM). Support vector machine classification algorithm based on boundary points(BP-SVM)was used to select the process. Multiple BP-SVMs were set up to solve the multi-classification problem. Parameter optimization of BP-SVM parameters was performed using genetic algorithm(GA). The results of the study show that the process design algorithm gives a suitable solution, verifies an accuracy of 94%, and consumes less compared to other algorithms. The feasibility and effectiveness of the algorithm is proved. [ABSTRACT FROM AUTHOR]

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In order to understand the present situation of germplasm resources of different Cuora flavomarginata in Zhejiang Province, the genetic diversity and genetic structure of eight C. flavomarginata populations from wild and breeding farms in Zhejiang Province were compared based on mitochondrial DNA COI sequence. The results showed that the se⁃ quence length of COI gene of C. flavomarginata was 1，040 bp, and the average base content was A=27. 4%、T=30. 5%、C= 24. 6%、G=17. 5%, with strong AT preference. Nine haplotypes were identified in the eight populations, and the haplotype diversity (Hd) was (0. 79900±0. 21000), and the nucleotide diversity (Pi) was (0. 00209±0. 00147), showing“ high Hd and low Pi” genetic distribution. The genetic distance between different populations ranged from 0 to 0. 003. The genetic distance within populations was between 0 and 0. 004, among which the genetic distance within Pan’an Houge Village (YS) population was the largest, which was 0. 004. The haplotype phylogenetic tree did not show obvious pedigree structure. The genetic differentiation index (FST) interval was from -0. 34752 to 0. 82222, and the genetic differentiation was not significant (p>0. 05) in eight populations. Tajima’s D and Fu’s FS test values were either positive (Tajima’s D=-0. 36627, Fu’s FS=-0. 605), but statistically insignificant. The distribution of nucleotide mismatches indicated that the population of the C. flavomarginata in Zhejiang Province did not experience a population expansion event. Mantel test showed that there was no significant correlation between genetic distance and geographical distance (R=0. 2938，p>0. 05). AMOVA analysis found that the genetic variation within populations was higher than that between populations (85. 06%>14. 94%). The results showed that the populations of C. flavomarginata in Zhejiang Province are characterized by high haplotype diversity and low nucleic acid genetic diversity, and there was a certain level of genetic differentiation, and there was obvious gene exchange among the populations. The wild C. flavomarginata obtained in Pan’an County was identified as Zhejiang species according to COI gene analysis. Moreover, it was also found that there were hybrids between Zhejiang species and Anhui species. It is suggested that the C. flavomarginata populations with different degrees of differentiation should be divided into different units for protection. This study uses genetic diversity analysis to provide a basis for the development and utilization of C. flavomarginata germplasm resources in Zhejiang Province and the formulation of reasonable protection measures. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Hainan Medical University is the property of Journal of Hainan Medical College Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The research progress of benthic diatoms on sandy beach at home and abroad was reviewed in this paper. As the main flora of sandy beach, benthic diatoms adapted to the changeable sandy environment through a series of mechanisms. In the sediments of the intertidal zone, benthic diatoms were an important part of primary productivity and beach food webs. Sediment, temperature, salinity, light, nutrients and biological factors all affected the growth and community distribution of benthic diatoms. In recent years, there had been studies on the distribution characteristics of benthic diatom communities in the intertidal zone of China, but generally speaking, there were relatively few studies on benthic diatoms in sandy environment, and further investigation is needed to improve the study of diatom ecology in China. [ABSTRACT FROM AUTHOR]

Objective: To investigate symptoms of anxiety and depression among primary and middle school students quarantined in hotels during the COVID-19 epidemic. Methods: Anxiety and depression symptoms among 726 primary and middle school students quarantined in hotels were investigated with The Screen for Child Anxiety Related Emotional Disorders (SCARED) and Depression Self-rating Scale for Children (DSRSC) from September to October 2022 in Chifeng City, Inner Mongolia Autonomous Region. There were 624 students completed investigation with response rate of 86%. The positive score of SCARED was 23 and DSRSC was 15. Results: The detection rates of anxiety and depression were 17.9% and 15.4% respectively. The detection rates of anxiety and depression were higher in middle school students than in primary school students (Ps <0.05). The scores of generalized anxiety and social phobia factors were higher in female students than in male students (Ps <0.05). The scores of dissociative anxiety factor and depression were higher in middle school students than in primary school students (Ps <0.05). Conclusion: During the COVID-19 epidemic, middle school students quarantined in hotels are more likely to have anxiety and depression symptoms than primary school students, and female students are more likely to have anxiety symptoms than male students. [ABSTRACT FROM AUTHOR]

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