The prefrontal cortex and hippocampus may support sequential working memory beyond episodic memory and spatial navigation. This stereoelectroencephalography (SEEG) study investigated how the dorsolateral prefrontal cortex (DLPFC) interacts with the hippocampus in the online processing of sequential information. Twenty patients with epilepsy (eight women, age 27.6 ± 8.2 years) completed a line ordering task with SEEG recordings over the DLPFC and the hippocampus. Participants showed longer thinking times and more recall errors when asked to arrange random lines clockwise (random trials) than to maintain ordered lines (ordered trials) before recalling the orientation of a particular line. First, the ordering-related increase in thinking time and recall error was associated with a transient theta power increase in the hippocampus and a sustained theta power increase in the DLPFC (3-10 Hz). In particular, the hippocampal theta power increase correlated with the memory precision of line orientation. Second, theta phase coherences between the DLPFC and hippocampus were enhanced for ordering, especially for more precisely memorized lines. Third, the theta band DLPFC → hippocampus influence was selectively enhanced for ordering, especially for more precisely memorized lines. This study suggests that theta oscillations may support DLPFC-hippocampal interactions in the online processing of sequential information.
Adult ; Female ; Humans ; Young Adult ; Epilepsy ; Hippocampus ; Memory, Short-Term ; Mental Recall ; Prefrontal Cortex ; Theta Rhythm ; Male

A growing number of urban dwellers are being exposed to excessively bright artificial night light induced by the development of high-intensity, high-density cities around the world. The adverse health effects of artificial light at night (ALAN) are increasingly becoming a global public health issue. Investigating the effects of built environment, especially ALAN, on public health has progressively developed into a cross-disciplinary research hotspot since the World Health Organization launched the Healthy Cities Project. Numerous studies found the links between ALAN and multiple negative health outcomes. However, to date, no review has summarized the health impacts of ALAN in China. This article systematically outlined the progress of research on the health effects of indoor and outdoor ALAN, including sleep disorders, obesity, cancers, cardiovascular diseases, metabolic diseases, cognitive function, and mental health. We pointed out the limitations of current research such as errors in exposure assessment, lack of research in developing countries, weak causal argument, and difficulty in controlling confounding factors. Future research should improve study design, conduct quantitative studies, and explore potential mechanisms, so as to provide scientific evidence for improving urban lighting planning and urban architectural design.

Objective:To analyze the epidemiological characteristics of hospitalized children with burns who developed nosocomial infection, and screen their independent risk factors, based on which, a risk prediction model was established and evaluated.Methods:A retrospective cohort study was conducted. From May 2010 to April 2023, 417 children with burns who met the inclusion criteria were admitted to the First Affiliated Hospital of the Air Force Medical University, including 248 males and 169 females, aged ≤14 years. Statistics on the composition and source distribution of pathogenic bacteria in children were detected. According to the occurrence of nosocomial infection, the children were divided into infected group (216 cases) and uninfected group (201 cases), and the children gender, age, total area of burns, presence of full-thickness burns, cause of the injury, and season of the injury of the children in the 2 groups were collected, as well as presence of an abnormal serum albumin level, delayed resuscitation, combination of inhalation injury at admission, and early shock, tracheotomy, admission to the intensive care unit, and deep venous catheterization after post-hospitalization, and more or less times (>2 times being more and ≤2 times being less) of surgeries, indwelling catheter days, and length of hospitalization stay on post-hospitalization. The burned children were divided into modeling group (291 cases) and validation group (126 cases) according to the ratio of 7∶3, and the data of the 2 groups were recorded as before. Data were statistically analyzed with Mann-Whitney U test, chi-square test, and Fisher's exact probability test. The least absolute value selection and shrinkage operator (LASSO) regression analysis was used to reduce the risk factors of nosocomial infection in the children in modeling group. Multivariate logistic regression analysis was used to further screen the above screened risk factors, and the nomogram prediction model was drawn based on the further screened independent risk factors. The Bootstrap method was used for internal validation of the aforementioned predictive models, and the receiver operator characteristic (ROC) curves, calibration curves, and clinical decision curves of the predictive models were plotted in modeling group and validation group in order to assess its discriminative power, calibration, and clinical utility, respectively. Results:A total of 245 strains of pathogenic bacteria were detected, with Staphylococcus aureus (101 strains, accounting for 41%), Pseudomonas aeruginosa (54 strains, accounting for 22%), and Acinetobacter baumannii (33 strains, accounting for 13%) dominating, and the wound secretions were the most frequent source of pathogenic bacteria (211 strains, accounting for 86%), followed by blood (10 strains, accounting for 4%), and sputum (5 strains, accounting for 2%). There were statistically significant differences between infected group and non-infected group in the total burn area, indwelling catheter days, length of hospitalization stay, presence of full-thickness burns, combined with inhalation injury, and deep vein catheterization, and more or less times of surgeries (with Z values of -2.32, -3.29, and -3.85, respectively, with χ2 values of 26.36, 7.03, 10.13, and 10.53, respectively, P<0.05); there was statistically significant difference in cause of the injury between the two groups ( P<0.05). All clinical characteristics of children with burns in the modeling and validation groups were similar ( P>0.05). The six risk factors obtained from the LASSO regression analysis were full-thickness burns, deep vein catheterization, abnormal serum albumin level, multiple surgeries, indwelling catheter days, and length of hospitalization stay; the multivariate logistic regression analysis showed that full-thickness burns, abnormal serum albumin level, deep vein catheterization, and multiple surgeries were the independent risk factors for the occurrence of nosocomial infection in burned children (with odds ratios of 2.27, 2.66, 4.08, and 2.92, respectively, with 95% confidence intervals of 1.22-4.21, 1.03-6.87, 1.07-15.49, and 1.15-7.42, respectively, P<0.05). The ROC curves of the prediction models showed that, the areas under the ROC curves of the modeling and validation groups were 0.81 (with 95% confidence interval of 0.78-0.84) and 0.81 (with 95% confidence interval of 0.76-0.85), respectively; the calibration curves showed that, the calibration curves of the prediction models of modeling and validation groups were around the ideal curves; the clinical decision curves showed that, the threshold probability values of the prediction models in modeling and validation groups were in the ranges of 5% to 70% and 1% to 46%, respectively. Conclusions:The main pathogen of infection in children with burns is Staphylococcus aureus from wound secretions. A nomogram risk prediction model constructed based on independent risk factors such as full-thickness burns, abnormal serum albumin level, deep venous catheterization, and multiple surgeries has good accuracy and can be easily used to predict the occurrence of nosocomial infections in hospitalized children with burns.

Objective:To explore the effect of health education based on action research theory and swallowing rehabilitation nursing for stroke patients with dysphagia.Methods:The random sampling method was used to select 128 stroke patients with dysphagia who were admitted to China-Japan Union Hospital of Jilin University from November 2020 to November 2021. According to the random number table method, they were divided into the control group and the experimental group. The control group received swallowing rehabilitation nursing, while the experimental group received action research theory health education on the basis of the control group. The swallowing function, self-care ability and quality of life were compared between the two groups.Results:Before nursing, there was no statistically significant difference in scores of Standardized Swallowing Assessment (SSA) , Exercise of Self-Care Agency (ESCA) and Swallowing-Quality of Life (SWAL-QOL) between the two groups ( P>0.05) . After 3 months of nursing, the SSA score of the two groups was lower than that before nursing, and the experimental group was lower than that of the control group, and the differences were statistically significant ( P<0.05) . The scores of each dimension of ESCA scale in the two groups were higher than those before nursing and the experimental group were higher than the control group, and the differences were statistically significant ( P<0.05) . The scores of each dimension of SWAL-QOL scale in the two groups were higher than those before nursing, and the experimental group were higher than the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The application of action research theory health education combined with swallowing rehabilitation nursing in stroke patients with dysphagia can improve the swallowing function of patients, self-care ability and quality of life.

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

OBJECTIVE: To investigate the effect of environmental estrogen bisphenol A (BPA) exposure on apoptosis of mouse ovarian preantral follicular granulosa cells and ovarian development and explore the underlying mechanism. METHODS: Mouse ovarian preantral follicular granulosa cells were isolated from female ICR mice at postnatal day (PND) 10 and cultured RESULTS: Compared with the control cells group, the isolated cells exposed to a low concentration of BPA (50 μmol/L) showed a significantly lowered apoptosis rate, increased mitochondrial membrane potential, and enhanced cellular proliferation ( CONCLUSIONS BPA can concentration-dependently regulate the function of ovarian preantral follicular granulosa cells in mice and potentially affects both the pregnant mice and the offspring female mice in light of early ovarian development.
Animals ; Apoptosis ; Benzhydryl Compounds ; Female ; Granulosa Cells ; Mice ; Mice, Inbred ICR ; Ovarian Follicle ; Phenols ; Pregnancy

Objective:To explore the effects of interpregnancy interval (IPI) on pregnancy outcomes of subsequent pregnancy.Methods:A multicenter retrospective study was conducted in 21 hospitals in China. Information of age, height, pre-pregnancy weight, IPI, history of diseases, complications of pregnancy, gestational age of delivery, delivery mode, and pregnancy outcomes of the participants were collected by consulting medical records of pregnant women who had two consecutive deliveries in the same hospital during 2011 to 2018. The participants were divided into 4 groups according to IPI:<18 months, 18-23 months, 24-59 months and ≥60 months. According to the WHO′s recommendation, with the IPI of 24-59 months group as a reference, to the effects of IPI on pregnancy outcomes of subsequent pregnancy were analyzed. Stratified analysis was further carried out based on age, history of gestational diabetes mellitus (GDM), macrosomia, and premature delivery, to explore the differences in the effects of IPI on pregnancy outcomes among women with different characteristics.Results:A total of 8 026 women were included in this study. There were 423, 623, 5 512 and 1 468 participants in <18 months group, 18-23 months group, 24-59 months group and ≥60 months group, respectively. (1) The age, pre-pregnancy body mass index (BMI), history of cesarean section, GDM, gestational hypertension and cesarean section delivery rate of <18 months group, 18-23 months group, 24-59 months group and ≥60 months group were gradually increased, and the differences were statistically significant ( P<0.05). (2) After adjusting for potential confounding factors, compared with women in the IPI of 24-59 months group, the risk of premature delivery, premature rupture of membranes, and oligohydramnios were increased by 42% ( OR=1.42, 95% CI: 1.07-1.88, P=0.015), 46% ( OR=1.46, 95% CI: 1.13-1.88, P=0.004), and 64% ( OR=1.64, 95% CI: 1.13-2.38, P=0.009) respectively for women in the IPI≥60 months group. No effects of IPI on other pregnancy outcomes were found in this study ( P>0.05). (3) After stratified by age and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of oligohydramnios for women with advanced age ( OR=2.87, 95% CI: 1.41-5.83, P=0.004); and <18 months could increase the risk of premature rupture of membranes for women under the age of 35 ( OR=1.59, 95% CI: 1.04-2.43, P=0.032). Both the risk of premature rupture of membranes ( OR=1.58, 95% CI: 1.18-2.13, P=0.002) and premature delivery ( OR=1.52, 95% CI: 1.07-2.17, P=0.020) were significantly increased in the IPI≥60 months group. After stratified by history of GDM and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would lead to an increased risk of postpartum hemorrhage for women with a history of GDM ( OR=5.34, 95% CI: 1.45-19.70, P=0.012) and an increased risk of premature rupture of membranes for women without a history of GDM ( OR=1.44, 95% CI: 1.10-1.90, P=0.009). After stratified by history of macrosomia and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months could increase the proportion of cesarean section for women with a history of macrosomia ( OR=4.11, 95% CI: 1.18-14.27, P=0.026) and the risk of premature rupture of membranes for women without a history of macrosomia ( OR=1.46, 95% CI: 1.12-1.89, P=0.005). After stratified by history of premature delivery and adjusted for confounding factors, compared with women in the IPI of 24-59 months group, IPI≥60 months would significantly increase the risk of premature rupture of membranes for women without a history of premature delivery ( OR=1.47, 95% CI: 1.13-1.92, P=0.004). Conclusions:Both IPI≥60 months and <18 months would increase the risk of adverse pregnancy outcomes in the subsequent pregnancy. Healthcare education and consultation should be conducted for women of reproductive age to maintain an appropriate IPI when they plan to pregnant again, to reduce the risk of adverse pregnancy outcomes in the subsequent pregnancy.