Objective: To identify the effective needs of college students for dietary nutrition health education content, so as to provide a scientific basis for optimizing the health education strategies in colleges. Methods: The literature analysis method, focus group interviews and Delphi expert consultation method were used to construct a survey questionnaire on dietary nutrition health education for college students. From January to March 2024, a total of 597 college students from six colleges in Shandong Province were selected through convenience sampling to complete the questionnaire independently by scanning the two dimensional code on questionnaire star. The Kano model was used to define the content demands of college students for dietary nutrition education, and the differences in demands were analyzed by calculating satisfied influence (SI) and dissatisfied influence (DSI). Results: The compiled questionnaire was divided into 7 dimensions and 25 items. The overall demand level analysis of college students included 3 essential attribute demands, namely, the recommended intake and various forms of dairy products (34.17%), the role of whole grains in health with their scientific intake forms and recommended amounts (31.99%), and the intake of beans (30.15%); 7 expected attribute demands included the introduction of recommended intensity of different activities (35.01%), how to achieve a healthy weight and the balance between diet and exercise (41.54%), the energy consumed by different exercises in a unit of time ( 38.36 %), the selection of healthy snacks (36.68%), the types of infectious diseases of the digestive system and how to prevent and control them (25.96%), the causes and judgments with manifestations of nutrition related diseases among college students ( 28.14 %), and the hotspots of attention on nutrition related diseases among college students (24.46%); 4 attractive attribute demands contained the introduction of the recommended activity levels for different periods such as daily and weekly (28.81%), the introduction of the importance of activities and the harm of prolonged sitting and ways to avoid it (28.64%), the nutritional value of animal foods and eating suggestions (23.45%), and the scientific intake suggestions for various processed animal foods (22.11%); the remaining were 11 attribute demands with no differences. In the quadrant diagram analysis, the demand items located in the maintenance zone, competitive advantage zone, improvement zone, and minor improvement zone were 5, 5, 8, and 7, respectively. Conclusions College students have different demands in dietary nutrition health education, and whether these demands are met affects their satisfaction in different ways. Among them, education on the intake of dairy products, whole grains, and beans has the greatest impact on satisfaction.

Depression is increasingly prevalent among adolescents and can profoundly impact their lives. However, the early detection of depression is often hindered by the time-consuming diagnostic process and the absence of objective biomarkers. In this study, we propose a novel approach for depression detection based on an affective brain-computer interface (aBCI) and the resting-state electroencephalogram (EEG). By fusing EEG features associated with both emotional and resting states, our method captures comprehensive depression-related information. The final depression detection model, derived through decision fusion with multiple independent models, further enhances detection efficacy. Our experiments involved 40 adolescents with depression and 40 matched controls. The proposed model achieved an accuracy of 86.54% on cross-validation and 88.20% on the independent test set, demonstrating the efficiency of multimodal fusion. In addition, further analysis revealed distinct brain activity patterns between the two groups across different modalities. These findings hold promise for new directions in depression detection and intervention.
Humans ; Male ; Female ; Adolescent ; Case-Control Studies ; Depression/diagnosis* ; Early Diagnosis ; Rest ; Electroencephalography/methods* ; Brain-Computer Interfaces ; Models, Psychological ; Reproducibility of Results ; Affect/physiology* ; Photic Stimulation/methods* ; Video Recording ; Brain/physiopathology*

This article reports two patients who developed abdominal wall endometriosis(AWE) after cesarean section and had the need for abdominal wall plastic surgery. The problems of AWE treatment and abdominal shape improvement were simultaneously solved through a single combined surgery (abdominal wall plastic surgery + resection of endometriotic nodules), and the follow-up at half a year after the operation presented good appearance.

Objective:To study the characteristics of soil microbial composition in sheep sheds in agricultural and pastoral areas, and explore potential zoonotic pathogen species.Methods:Using cross-sectional survey method, soil samples from sheep sheds in the agricultural and pastoral areas of Darhan-Muminggan Joint County, Baotou City, Inner Mongolia Autonomous Region were collected from August to October 2023. Genomic DNA was extracted, and metagenomic second-generation sequencing was conducted. Microbial species annotation was carried out by Kaiju method, and the soil microbial composition and zoonotic pathogen species of sheep sheds in agricultural and pastoral areas were analyzed.Results:A total of 10 and 5 soil samples were collected from sheep sheds in agricultural and pastoral areas, respectively. The results of β diversity analysis showed that there was a significant separation trend in soil samples from sheep sheds in agricultural and pastoral areas, and the interpretation of principal co-ordinates analysis (PCoA) 1 and PCoA2 were 27.8% and 17.4%, respectively. There was no significant difference in the microbial composition of soil samples from sheep sheds in agricultural and pastoral areas ( R = 0.09, P = 0.242). At the phylum level, the dominant bacterial phyla were Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. At the genus level, the dominant bacterial genera were Corynebacterium, Luteimonas, Atopostipes, and Salinicoccus. A variety of zoonotic pathogens were detected, including Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani in 15 soil samples. Conclusion:The soil microorganisms in sheep sheds in agricultural and pastoral areas are diverse, and zoonotic pathogens such as Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani are detected.

Objective:To study the characteristics of soil microbial composition in sheep sheds in agricultural and pastoral areas, and explore potential zoonotic pathogen species.Methods:Using cross-sectional survey method, soil samples from sheep sheds in the agricultural and pastoral areas of Darhan-Muminggan Joint County, Baotou City, Inner Mongolia Autonomous Region were collected from August to October 2023. Genomic DNA was extracted, and metagenomic second-generation sequencing was conducted. Microbial species annotation was carried out by Kaiju method, and the soil microbial composition and zoonotic pathogen species of sheep sheds in agricultural and pastoral areas were analyzed.Results:A total of 10 and 5 soil samples were collected from sheep sheds in agricultural and pastoral areas, respectively. The results of β diversity analysis showed that there was a significant separation trend in soil samples from sheep sheds in agricultural and pastoral areas, and the interpretation of principal co-ordinates analysis (PCoA) 1 and PCoA2 were 27.8% and 17.4%, respectively. There was no significant difference in the microbial composition of soil samples from sheep sheds in agricultural and pastoral areas ( R = 0.09, P = 0.242). At the phylum level, the dominant bacterial phyla were Actinobacteria, Proteobacteria, Firmicutes, and Bacteroidetes. At the genus level, the dominant bacterial genera were Corynebacterium, Luteimonas, Atopostipes, and Salinicoccus. A variety of zoonotic pathogens were detected, including Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani in 15 soil samples. Conclusion:The soil microorganisms in sheep sheds in agricultural and pastoral areas are diverse, and zoonotic pathogens such as Brucella melitensis, Mycobacterium tuberculosis, and Clostridium tetani are detected.

This article reports two patients who developed abdominal wall endometriosis(AWE) after cesarean section and had the need for abdominal wall plastic surgery. The problems of AWE treatment and abdominal shape improvement were simultaneously solved through a single combined surgery (abdominal wall plastic surgery + resection of endometriotic nodules), and the follow-up at half a year after the operation presented good appearance.

Stimulator of interferon genes (STING) is a cytosolic DNA sensor which is regarded as a potential target for antitumor immunotherapy. However, clinical trials of STING agonists display limited anti-tumor effects and dose-dependent side-effects like inflammatory damage and cell toxicity. Here, we showed that tetrahedral DNA nanostructures (TDNs) actively enter macrophages to promote STING activation and M1 polarization in a size-dependent manner, and synergized with Mn²⁺ to enhance the expressions of IFN-β and iNOS, as well as the co-stimulatory molecules for antigen presentation. Moreover, to reduce the cytotoxicity of Mn²⁺, we constructed a TDN-MnO₂ complex and found that it displayed a much higher efficacy than TDN plus Mn²⁺ to initiate macrophage activation and anti-tumor response both in vitro and in vivo. Together, our studies explored a novel immune activation effect of TDN in cancer therapy and its synergistic therapeutic outcomes with MnO₂. These findings provide new therapeutic opportunities for cancer therapy.

This study aimed to quantitatively assess the effectiveness of the Wuhan lockdown measure on controlling the spread of coronavirus diesase 2019 (COVID-19). : Firstly，estimate the daily new infection rate in Wuhan before January 23，2020 when the city went into lockdown by consulting the data of Wuhan population mobility and the number of cases imported from Wuhan in 217 cities of Mainland China. Then estimate what the daily new infection rate would have been in Wuhan from January 24 to January 30th if the lockdown measure had been delayed for 7 days，assuming that the daily new infection in Wuhan after January 23 increased in a high，moderate and low trend respectively (using exponential, linear and logarithm growth models). Based on that，calculate the number of infection cases imported from Wuhan during this period. Finally，predict the possible impact of 7-day delayed lockdown in Wuhan on the epidemic situation in China using the susceptible-exposed-infectious-removed (SEIR) model. : The daily new infection rate in Wuhan was estimated to be 0.021%，0.026%，0.029%，0.033% and 0.070% respectively from January 19 to January 23. And there were at least 20 066 infection cases in Wuhan by January 23，2020. If Wuhan lockdown measure had been delayed for 7 days，the daily new infection rate on January 30 would have been 0.335% in the exponential growth model，0.129% in the linear growth model，and 0.070% in the logarithm growth model. Correspondingly，there would have been 32 075，24 819 and 20 334 infection cases travelling from Wuhan to other areas of Mainland China，and the number of cumulative confirmed cases as of March 19 in Mainland China would have been 3.3-3.9 times of the officially reported number. Conclusions: Timely taking city-level lockdown measure in Wuhan in the early stage of COVID-19 outbreak is essential in containing the spread of the disease in China.
COVID-19 ; China/epidemiology* ; Cities ; Communicable Disease Control ; Humans ; SARS-CoV-2

To evaluate the impact of socioeconomic status，population mobility，prevention and control measures on the early-stage coronavirus disease 2019 (COVID-19) development in major cities of China. : The rate of daily new confirmed COVID-19 cases in the 51 cities with the largest number of cumulative confirmed cases as of February 19，2020 (except those in Hubei province) were collected and analyzed using the time series cluster analysis. It was then assessed according to three aspects，that is, socioeconomic status，population mobility，and control measures for the pandemic. : According to the analysis on the 51 cities，4 development patterns of COVID-19 were obtained，including a high-incidence pattern (in Xinyu)，a late high-incidence pattern (in Ganzi)，a moderate incidence pattern (in Wenzhou and other 12 cities)，and a low and stable incidence pattern (in Hangzhou and other 35 cities). Cities with different types and within the same type both had different scores on the three aspects. : There were relatively large difference on the COVID-19 development among different cities in China，possibly affected by socioeconomic status，population mobility and prevention and control measures that were taken. Therefore，a timely public health emergency response and travel restriction measures inside the city can interfere the development of the pandemic. Population flow from high risk area can largely affect the number of cumulative confirmed cases.
COVID-19 ; China/epidemiology* ; Cities ; Humans ; SARS-CoV-2 ; Social Class

To predict the epidemiological trend of coronavirus disease 2019 (COVID-19) by mathematical modeling based on the population mobility and the epidemic prevention and control measures. : As of February 8，2020，the information of 151 confirmed cases in Yueqing，Zhejiang province were obtained，including patients' infection process，population mobility between Yueqing and Wuhan，etc. To simulate and predict the development trend of COVID-19 in Yueqing, the study established two-stage mathematical models，integrating the population mobility data with the date of symptom appearance of confirmed cases and the transmission dynamics of imported and local cases. : It was found that in the early stage of the pandemic，the number of daily imported cases from Wuhan (using the date of symptom appearance) was positively associated with the number of population travelling from Wuhan to Yueqing on the same day and 6 and 9 days before that. The study predicted that the final outbreak size in Yueqing would be 170 according to the number of imported cases estimated by consulting the population number travelling from Wuhan to Yueqing and the susceptible-exposed-infectious-recovered (SEIR) model; while the number would be 165 if using the reported daily number of imported cases. These estimates were close to the 170，the actual monitoring number of cases in Yueqing as of April 27，2020. : The two-stage modeling approach used in this study can accurately predict COVID-19 epidemiological trend.
COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; Models, Theoretical ; Pandemics ; SARS-CoV-2