Attention deficit hyperactivity disorder （ADHD） is often accompanied by tic disorder. The core pathogenesis is considered to be ministerial fire scorching yin and internal stirring of deficient wind， which leads to disharmony between the body and spirit， resulting in clinical manifestations. The treatment principles emphasize nourishing yin fluids， calming ministerial fire， and extinguishing endogenous wind （内风）. The method of nourishing yin fluids is applied throughout the entire treatment process， commonly using ingredients such as Shudihuang （Rehmanniae Radix Praeparata）， Shanzhuyu （Corni Fructus）， Gouqizi （Lycii Fructus）， Wuweizi （Schisandrae Chinensis Fructus）， and Tusizi （Cuscutae Semen）. These are combined with approaches to harmonize the zang-fu organs， primarily including extinguishing liver wind， clearing heart fire， nourishing kidney water， and strengthening spleen earth， thereby stabilizing ministerial fire and extinguishing endogenous wind. Additionally， emotional regulation and smoothing emotional constraint are essential to improve clinical symptoms in children with ADHD comorbid with tic disorder.

Objective To establish a rapid method for extracting genomic DNA(gDNA) from various samples by using the adsorbent material NZVI-GO prepared by combining graphene oxide(GO) with epoxy functional groups and nanoscale zerovalent iron(NZVI), so as to meet the requirements of subsequent molecular experiments.Methods Magetic nanomaterial NZVI-GO was prepared via hydrothermal method and characterized. NZVI-GO was then used to extract gDNA from various biological samples(blood, bacteria, animal and plant tissues). During the gDNA extraction process, the quantities of magnetic nanomaterials(human whole blood and Yersinia pseudotuberculosis: 10, 15, 20 and 25 mg; animal and plant: 20, 35, 50, 65 and 80 mg), SDS buffer concentration(2%, 4%, 6%, 8% and 10%), TC buffer pH(2, 4, 6, 8 and 10) and polyethylene glycol6000 concentration(5%, 10%, 20%, 30% and 40%) were optimized. The gDNA of four biological samples was extracted by the established method, and compared with the nucleic avid extraction kits produced by two manufacturers.Results Fourier transform infrared(FTIR) spectroscopy analysis was performed on GO particles, NZVI particles, and NZVI-GO, revealing the presence of interactions between NZVI and GO. Subsequently, scanning electron microscopy(SEM) observations showed that GO acted as a dispersant, embedding the nano-iron particles uniformly. The spherical structure formed by GO and NZVI protected the hydroxyl and carboxyl functional groups on the NZVI surface from oxidation. The optimal extraction conditions were as follows: 20 mg of magnetic beads, 6% of SDS, pH 10 and 20% of polyethylene glycol 6000. Compared with the commercially available nucleic acid extraction kit 1, the gDNA concentration of human whole blood, bacteria, animal and plant samples extracted by NZVI-GO method increased, but the difference was not statistically significant(t = 1. 236-1. 935,each P > 0. 05). Compared with the commercial nucleic acid extraction kit 2, the gDNA concentration extracted by NZVI-GO was all significantly higher, with statistically significant difference(t = 4. 568-15. 200, each P < 0. 01).Conclusion The established gDNA extraction method based on NZVI-GO has the advantages of simple and rapid operation, high efficiency,and broad-spectrum applicability, which can meet the requirements of subsequent molecular experiments.

Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of varicella in Changchun City from 2020 to 2024, so as to provide the evidence for formulating local varicella prevention and control measures. Methods: The individual case data of varicella were collected through the Surveillance and Reporting Management System of the Chinese Disease Prevention and Control Information System in Changchun City from 2020 to 2024. Descriptive epidemiological methods were used to analyze the population ,regional, and temporal distribution. Spatial autocorrelation and spatio-temporal scanning analyses were used to identify the spatial-temporal clustering characteristics. Results: A total of 8 850 varicella cases were reported in Changchun City from 2020 to 2024, with an average annual incidence of 19.64/105. There were 4 929 male cases and 3 921 female cases, with a male-to-female ratio of 1.26∶1. The age was mainly 0-<20 years (6 649 cases, 75.13%), and students were the predominant occupation (6 036 cases, 68.20%). The top three counties (cities, districts) with the highest number of cases were Chaoyang District (1 944 cases), Gongzhuling City (1 054 cases) and Nanguan District (987 cases), accounting for 45.03%. The peak incidence periods were from April to June and from October to December, with 2 166 and 4 226 cases, accounting for 24.47% and 47.75%, respectively. Spatial autocorrelation analysis showed that spatial clustering existed from 2020 to 2024. The high-high clustering areas were mainly some townships (streets) in Chaoyang District, Nanguan District, Changchun New District and Jingyue District. Spatio-temporal scanning analysis identified 6 high-risk clustering areas. The class Ⅰ clustering area was Nanhu Street in Chaoyang District, with the clustering period from September 2020 to February 2022. Conclusions Varicella cases in Changchun City were mainly males and students aged 0-<20 years from 2020 to 2024. The peak incidence was mainly in winter. Chaoyang District was a high-risk area, with obvious spatial-temporal clustering.

[Objective] To explore the influencing factors of quality monitoring index on the nucleic acid pooling detection mode and continuously improve the detection quality of nucleic acid laboratory. [Methods] The quality monitoring indicators (NAT reactive rate, NAT resolution reactive rate, NAT invalid batch rate, NAT invalid result rate, equipment failure rate) and causes of invalidity in our laboratory from January 1, 2020 to December 31, 2022 were retrospectively analyzed. The quality monitoring indicators of the laboratory during 2020 to 2022 were compared longitudinally. The quality monitoring indicators of the laboratory in 2022 were compared horizontally with the overall level in Shandong for the same period to find the differences. [Results] From 2020 to 2022, a total of 218 686 samples were detected, the NAT reactive rate was 0.15‰ (32 samples in total), the resolution reactive rate was 39.02%, the invalid batch rate was 1.06%, the invalid result rate was 1.18%, and the equipment failure rate was 3.58%. There were no differences in the NAT reactive rate, NAT resolution reactive rate and NAT invalid batch rate among different years (P>0.05), but there were differences in the invalid result rate (P<0.05). Equipment failure was the main cause of invalid results (56.53%). Compared with other laboratories in Shandong, there were differences in the NAT reactive rate and invalid result rate (P<0.05). There were differences in the reaction rate, resolution rate and invalid result rate among different reagents (P<0.05). Compared with other two laboratories using the same manufacturer's reagent, there were differences in the reactive rate and invalid result rate (P<0.05), but no difference in the resolution rate and invalid batch rate (P>0.05). [Conclusion] Establishing quality indexes for process control and regular analysis can timely detect potential risks in laboratory operation. The use of quality indicators to implement self-comparison and inter-laboratory comparison can help the laboratory systematically and scientifically evaluate its own operating status and formulate corresponding quality management strategies, thereby improving the laboratory's testing capacity and ensure the safety of blood use.

Abstract Upper cross syndrome (UCS) is an abnormal body posture phenomenon. The detection rate of UCS in adolescents is high in China, which has become a serious public health problem threatening the health of adolescents. Exercise therapy has a positive effect on the prevention and treatment of UCS.The article reviews the pathological mechanisms of muscle imbalance, muscle interaction inhibition, and neural control related to the occurrence and development of UCS both domestically and internationally in recent years.And it elucidates the effects and corresponding mechanisms of exercise interventions such as gentle exercise, stretching exercise and physical function training on UCS, so as to provide help for the correction of UCS.

Objective: To investigate the distribution characteristics and related factors of weight loss behavior among middle school students in Shanghai, so as to provide a reference for guiding scientific weight loss among middle school students. Methods: From May to June 2021, a stratified cluster random sampling method was used to select 16 758 junior and high school students in 16 districts of Shanghai. Youth Risk Behavior Surveillance System was administered to assess the basic condition and weight loss behaviors of the students. An unordered multinomial Logistic regression model was employed to analyze the factors associated with weight loss behaviors. Results: A total of 5 881 (35.09%) reported engaging in exercise for weight loss, 6 344 (37.86%) reported dieting for weight loss, and 461 (2.75%) engaged in unhealthy weight loss behaviors. The unordered multinomial Logistic regression analysis indicated that compared with the no weight loss behavior group, students from urban areas( OR =1.35,95% CI =1.10-1.66), those with Internet addiction ( OR =1.71,95% CI =1.23-2.38), those with victims of bullying ( OR =2.09, 95% CI =1.68-2.61), those experiencing insomnia ( OR =2.33,95% CI = 1.74-3.11), those feelings of sadness or despair ( OR =3.10, 95% CI =2.42- 3.97 ), and those who perceived their body weight as slightly heavy ( OR =2.77, 95% CI = 2.17-3.55) or very heavy ( OR =3.41, 95% CI =2.44-4.75) were more likely to engage in unhealthy weight loss behaviors ( P <0.05). Conclusions There are significant differences in weight loss behaviors among middle school students with varying characteristics in Shanghai. Negative emotions such as insomnia and feelings of sadness or despair, Internet addiction, cognitive bias in weight and experiences of bullying are identified as related factors for unhealthy weight loss behaviors. Targeted intervention measures should be implemented to guide students towards scientific approaches to weight management.

Yin-yang, visceral manifestation, and ti-yong theories are the core theories of traditional Chinese medicine (TCM) and play a crucial role in its formation and development. With the continuous evolution of Chinese philosophy, TCM philosophy and theories have undergone significant influence, resulting in differing interpretations of the visceral manifestation of liver and mingmen across various historical periods by different medical practitioners. This paper focuses on the different understandings of the position of liver and mingmen, combining relevant philosophical images and TCM anatomical illustrations to deeply explore ancient medical theorists′ concepts regarding the four spatial directions of left, right, up, and down. The research reveals that ancient medical theorists′ conceptualization of spatial theory transitioned from an initial circular motion to a vertical movement, with the focus shifting from the upper part to the lower part. The primary reasons for these differences and changes could be explained by the varying emphasis on the ti-yong theory and differing focal points within the yin-yang theory. This study systematically examines the evolution of visceral manifestation theories related to liver and mingmen, highlights the shifts in physicians′ perspectives on spatial theory, and analyzes the influence of the ti-yong theory and yin-yang theory on these changes. The findings aim to provide a theoretical guide for advancing research and clinical application of spatial theory in TCM, thereby fostering the integration of TCM philosophy with medical theory.

Histone deacetylase 3 (HDAC3) is an epigenetic modification enzyme that plays a crucial role in the development and progression of diabetes and its complications. Studies have reported that increased HDAC3 activity is associated with pancreatic β-cell dysfunction in type 1 diabetes, while in type 2 diabetes, HDAC3 affects insulin resistance and signaling by regulating the metabolism of the liver, adipose tissue, and muscle. Additionally, HDAC3 plays a key role in diabetic complications such as cardiomyopathy, retinopathy, and nephropathy. Selective inhibition of HDAC3 has the potential to improve insulin sensitivity, reduce chronic inflammation, and enhance pancreatic cell function, offering a promising new therapeutic strategy for diabetes and its complications.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Solanum nigrum is a traditional Chinese herb widely distributed in China. It is rich in active ingredients such as alkaloids and saponins， and has shown remarkable hepatoprotective effects and various mechanisms in the treatment of various liver diseases. It can prevent and treat chemical liver injury through anti-inflammatory， antioxidant， gut microbiota-regulating， and anti- fibrotic pathways. In the prevention and treatment of fatty liver disease， it can regulate lipid metabolism， inhibit lipogenesis， and promote fat degradation. It has potential antiviral activity against viral hepatitis. By inducing tumor cell apoptosis， arresting the cell cycle， and inhibiting tumor cell proliferation and metastasis and so on， it plays a role in the prevention and treatment of liver cancer. Clinically， S. nigrum has been used in the treatment of liver cancer and liver fibrosis after chronic hepatitis B， showing good efficacy and high safety. Future research should focus on further elucidating its mechanisms of action and promoting the development and application of new drugs， in order to benefit more patients with liver diseases.