Objective: To investigate the epidemiological characteristics and spatial-temporal clustering of severe fever with thrombocytopenia syndrome (SFTS) in Huai'an City, Jiangsu Province from 2011 to 2024, so as to provide a basis for optimizing local SFTS prevention and control strategies, and identifying high-risk areas and key populations. Methods: Data on SFTS incidence and deaths in Huai'an City from 2011 to 2024 were collected from the Infectious Disease Reporting Information System of the Chinese Disease Prevention and Control Information System. The reported incidence, mortality, and fatality rates were calculated. Descriptive analysis was performed on temporal, population, and regional distribution. The average annual percent change (AAPC) was used to analyze the trend in the reported incidence of SFTS. Global and local spatial autocorrelation analyses were employed to examine the spatial distribution patterns and spatial association patterns of SFTS incidence while spatio-temporal scanning analyses was used to assess the spatial-temporal clustering of SFTS. Results: A total of 337 SFTS cases were reported in Huai'an City from 2011 to 2024, with the reported incidence rising from 0.17/100 000 to 1.88/100 000. There were 20 deaths, with an average annual mortality of 0.03/100 000, and a fatality rate of 5.93%. The incidence showed obvious seasonality, with a peak in May and June (148 cases, accounting for 43.92%). Spring and summer accounted for 107 cases (31.75%) and 159 cases (47.18%), respectively. The reported SFTS cases were mainly male, farmers, and individuals aged ≥41 years, accounting for 56.38%, 79.23%, and 96.74%, respectively. The population distribution of death cases was basically consistent with that of incident cases. Xuyi County was a high-incidence area, with a total of 332 reported cases, accounting for 98.52%. All death cases were reported in this county. Spatial autocorrelation analyses revealed a positive spatial correlation in SFTS incidence from 2019 to 2024, with Moran's I values ranging from 0.214 to 0.336 (all P<0.05). Heqiao Town, Tianquanhu Town, and Guiwu Town in Xuyi County were identified as high-high clustering areas. Spatio-temporal scanning analyses showed that cluster 1 was consistent with the high-high clustering areas, with an aggregation time from the second quarter of 2019 to the second quarter of 2022. Conclusions From 2011 to 2024, the reported incidence of SFTS in Huai'an City showed an upward trend, with a high incidence in spring and summer. Males, farmers, and the middle-aged and elderly population were the key populations for prevention and control. Xuyi County was the key area for prevention and control.

Objective To analyze the epidemiological characteristics of hepatitis E (HE) in Huai'an City from 2015 to 2024, and construct and validate the prediction effect of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model, and to provide a scientific basis for HE prevention and control. Methods Data of reported HE cases in Huai'an City from January 2015 to December 2024 were extracted from the National Disease Control and Prevention Information System. Descriptive epidemiological methods were used to analyze the temporal, regional and population distribution characteristics of HE incidence. After data preprocessing, stationarity test and randomness test, the SARIMA model was constructed. The optimal model was selected by minimizing the Akaike Information Criterion (AIC). The model performance was evaluated by adjusted R-squared (Adj R²) and root mean square error (RMSE). The monthly incidence rate of HE in Huai'an City in 2025 was predicted and compared with the actual incidence data to validate the model. Results A total of 1 713 HE cases were reported in Huai'an City from 2015 to 2024, showing a fluctuating upward trend. Huaiyin District (339 cases) and Lianshui County (334 cases) were high-incidence areas. The cases were mainly concentrated in people aged 45 and above (83.3%), males (gender ratio 2.37:1) and farmers (70.8%). The optimal model was SARIMA (1,1,1)×(2,0,1)₁₂, with residual as white noise sequence. There was no statistical difference between the actual incidence and predicted value from January to August 2025 (P>0.05). Conclusion HE incidence in Huai'an has obvious aggregation and temporal fluctuation characteristics. The SARIMA model has a good prediction effect, which can provide reference for formulating targeted prevention and control strategies.

Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its ¹⁸F-isotopologue ([¹⁸F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [¹⁸F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [¹⁸F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

A high level of self-compassion can effectively relieve stress, reduce the psychological distress, and improve mental health. This paper reviews the conception, measurement tools, influencing factors, and intervention measures of self-compassion among caregivers for elderly dementia patients. It analyzes the deficiencies in current research and puts forward feasible suggestions, aiming to provide a reference for future related research.

Objective To explore the influencing factors of the construction of public hospital management accounting system,and to construct artificial intelligence models for predictive research,and to achieve software transformation in the later stage for automated evaluation of management accounting in different hospitals.Methods The indicators of management account-ing system were improved through literature analysis and Delphi method,and quantitative scoring standards were established.The automatic prediction of system indicators was realized by building an artificial intelligence model,and the effect of the model was evaluated.The way of software transformation was discussed.Results The coordination coefficient of Kendal in the two rounds of Delphi method questionnaires reached the requirements(P＜0.05),and 6 primary indicators and 23 secondary impact indica-tors were determined.The artificial intelligence model is well modeled,and the area under the Receiver operating characteristic is 0.959,P＜0.001,with high accuracy.Conclusion The index system can provide reference for the monitoring of the daily work of management accounting in public hospitals.Through the establishment of artificial intelligence model,it can be used to evaluate the construction level of management accounting system in different hospitals and provide artificial intelligence automation support.

A high level of self-compassion can effectively relieve stress, reduce the psychological distress, and improve mental health. This paper reviews the conception, measurement tools, influencing factors, and intervention measures of self-compassion among caregivers for elderly dementia patients. It analyzes the deficiencies in current research and puts forward feasible suggestions, aiming to provide a reference for future related research.

Objective:To investigate the effects of gene silencing inducible cyclooxygenase-2 (COX-2) combined with hyperbaric oxygen (HBO) on neuronal cell edema, apoptosis, autophagy and neural functional recovery in rats with intracerebral hemorrhage.Methods:SPF-grade adult male SD rats ( n=96) were used to establish a cerebral hemorrhage model through stereotactic injection of thrombin VII into the caudate nucleus. They were randomized (random number) into 4 groups ( n=24/group): control group, hyperbaric oxygen (HBO) group, COX-2 RNAi group and combined group (COX-2 RNAi+HBO). The siRNA plasmid targeting silencing COX-2 gene expression was constructed. After group treatment, the four rats were randomly selected from each group for testing in each category. Postoperative day 1, 7, and 14 were assessed using the modified neurological severity score (mNSS) for evaluating neurofunctional deficits. On the 7th day, the water content of the brain tissue was measured using the dry/wet weight method. The blood-brain barrier permeability was assessed using the Evans method. Annexin V and TUNEL assays were employed to assess the apoptotic rate of neural cells. The mRNA expression level of COX-2 in brain tissue was determined using the RT-PCR method. The protein expression levels of Beclin-1, COX-2, aquaporin 4 (AQP-4), B cell lymphoma/lewkmia-2 (Bcl-2), caspase-3, hypoxia-inducible factor-1α (HIF-1α) and matrix metalloprotein-2/9 (MMP-2/9) were detected by Western blot (WB). SPSS software was used for data analysis. One-way ANOVA was used for inter group comparisons and LSD- t test was used for further pairwise comparison. Results:The SD rat intracerebral hemorrhage model and plasmid construction were successfully achieved. The mNSS scores were significantly decreased in COX-2 RNAi, HBO and combined groups compared with control group on the 7th day and 14th day (all P<0.01), especially in combined group ( P<0.01). The contents of Evans blue and the water content of brain tissue of all treatment groups were significantly lower than those in control group (all P<0.05), especially in combined group ( P<0.01). The apoptotic rate of neural cells decreased in all treatment groups compared with the control group (all P<0.05), and the combined group decreased the most ( P<0.01). The mRNA expression levels of COX-2 were significantly decreased in all treatment groups compared with the control group (all P<0.01), and combined group silenced COX-2 expression most obviously ( P<0.05). The results of WB showed that the protein expression levels of Beclin-1, COX-2, AQP-4, Caspase-3, HIF-1α, MMP-2/9 were significantly lower than control group (all P<0.05), while the expression of Bcl-2 was increased in all treatment groups (all P<0.01). Among them, the combined group exhibited the most pronounced trend ( P<0.01). Conclusions:Gene silencing of COX-2 in combination with hyperbaric oxygen therapy can effectively restore neurological function in rats with cerebral hemorrhage. The mechanism may be associated with reduced blood-brain barrier permeability, alleviated brain edema, and inhibition of neuronal apoptosis and autophagy.

To study the prevalence of depression, anxiety, and insomnia among social workers during the prolonged battle against the COVID-19 pandemic and explore the associated risk factors.

Levetiracetam （LEV） is the second generation of broad-spectrum anti-epileptic drug. LEV has the advantages of rapid absorption， short half-life， precise efficacy， good tolerance and few drug interactions. In order to improve the clinical efficacy of LEV， and reduce the occurrence of adverse reactions， children， pregnant women， the elderly， and patients with renal insufficiency should receive therapeutic drug monitoring （TDM）. Clinically， the samples are usually plasma or serum， and the TDM methods are mostly immunoassay or chromatography. There is currently no consensus on the effective concentration range of LEV， and the correlation between plasma concentration and adverse reactions is also unclear. The main factors affecting LEV plasma concentration include age， pregnancy， and patient compliance. How to interpret TDM results and adjust dosage based on the results will be the focus of future work.