Objective To investigate the epidemiological characteristics of malaria and provide a basis for developing improved prevention and control measures. Methods Data were obtained from the Chinese Disease Prevention and Control Information System. Malaria surveillance data for Nanning City from January 1,2023, to December 31,2024, were exported from the Infectious Disease Reporting Information Management Subsystem. The characteristics of the two groups of malaria cases were compared. Results A total of 103 imported malaria cases were reported in Nanning City in 2024, representing a 38.32% decrease compared with the same period of the previous year. No statistically significant difference were observed between cases reported in 2023 and 2024 in terms of average age, gender ratio, proportion of parasite species, and monthly reporting distribution;however, statistically significant differences were found in the proportion of reporting areas and current residence areas(χ2= 13.572 and 10.355, respectively; P = 0.001 and 0.035, respectively). The proportion of cases reported in Shanglin County and the proportion of cases residing in Shanglin County were both lower than those during the same period of the previous year. Conclusions The high aggregation of imported malaria cases in Nanning City has decreased. Medical institutions in areas other than Shanglin County should strengthen their vigilance against malaria.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Objective:To evaluate the value of spectral CT quantitative parameters in predicting microvascular invasion (MVI) of hepatocellular carcinoma (HCC).Methods:A total of 100 HCC patients who underwent surgical resection and were pathologically diagnosed in the Affiliated Cancer Hospital of Xiangya Medical College of Central South University from January 2020 to January 2023 were retrospectively enrolled. According to pathological grading, the patients were divided into the microvascular invasion group (invasion group, n=60) and the non-vascular invasion group (non-invasion group, n=40). Serological indicators and spectral CT quantitative parameters were compared between the two groups. Receiver operating characteristic (ROC) curve was used to analyze the value of spectral CT quantitative parameters in predicting MVI of HCC. Results:The serum alpha-fetoprotein (AFP) level in the invasion group was higher than that in the non-invasion group, with a statistically significant difference ( P<0.05). There were no statistically significant differences in serum carcinoembryonic antigen (CEA) and carbohydrate antigen 199 (CA-199) levels between the two groups (all P>0.05). In the invasion group, arterial phase iodine concentration, arterial phase normalized iodine concentration, venous phase iodine uptake reduction rate, arterial phase effective atomic number, and energy spectrum curve slope were all higher than those in the non-invasion group, with statistically significant differences (all P<0.05); there were no statistically significant differences in venous phase iodine concentration, venous phase normalized iodine concentration, and venous phase effective atomic number between the two groups (all P>0.05). The rates of peritumoral enhancement in the arterial phase and irregular tumor margin in the invasion group were higher than those in the non-invasion group, with statistically significant differences (all P<0.05); there was no statistically significant difference in tumor capsule between the two groups ( P>0.05). ROC curve analysis showed that the areas under the curve (AUC) of arterial phase iodine concentration, arterial phase normalized iodine concentration, venous phase iodine uptake reduction rate, arterial phase effective atomic number, and energy spectrum curve slope for predicting MVI in HCC were 0.812, 0.885, 0.726, 0.823, and 0.788, respectively. Conclusions:Spectral CT quantitative parameters are helpful to improve the preoperative diagnostic efficiency of MVI in HCC and can effectively predict MVI in HCC. Especially, arterial phase normalized iodine concentration has high application value in judging whether there is MVI in HCC.

Objective:To explore the equity and driving path of primary healthcare human resource allocation across 31 provinces in China,providing references for optimizing such allocations.Methods:Using data from the 2022 primary healthcare human resources in 31 provinces in China,the Health Resource Density Index(HRDI)was used to measure the equity of primary healthcare human resource allocation.The fuzzy-set Qualitative Comparative Analysis(fsQCA)was applied to construct configurational pathways influencing on allocation patterns.Results:In 2022,the HRDI for primary healthcare human resources in China was 2.349 0 in the East,1.198 6 in the Central region,and 0.775 2 in the West.Configurational analysis revealed three paths that promote high equity:the internal-external balance-driven model(H1),the government-led model(H2),and the economic-demand combined model(H3),with overall consistency and coverage of 0.955 and 0.794,respectively.Seven paths lead to low equity:internal-external constraint models(L1,L2),economic constraint models(L3),and demand constraint models(L4,L5,L6,L7),with overall consistency and coverage of 0.967 and 0.795,respectively.Conclusions:Significant regional disparities exist in the equity of primary healthcare human resource allocation in China.Population density is a critical factor influencing allocation equity.The collaboration of various factors contributes to enhancing the equity of primary healthcare human resources distribution.Therefore,future efforts to enhance equity should focus on promoting inter-regional mobility and resource sharing,while precisely addressing regional shortcomings to achieve high equity in primary healthcare human resource allocation.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

BACKGROUND:Unlike non-inflammatory cell apoptosis,pyroptosis is a form of inflammatory cell death,characterized by membrane integrity disruption and release of pro-inflammatory intracellular substances.Thus,it is associated with various diseases.The sirtuin family is a group of histone deacetylases dependent on nicotinamide adenine dinucleotide.In addition to deacetylation,it also possesses other enzymatic activities such as desuccinylation,demalonylation,adenosine diphosphate-ribosylation and playing crucial roles in the regulation of pyroptosis.OBJECTIVE:To review the role of the sirtuins in pyroptosis.METHODS:The first author conducted a search on PubMed,Web of Science,CNKI,and WanFang Data from inception to March 2024,using the Chinese and English search terms"Sirtuins,Sirtuin1,Sirtuin2,Sirtuin3,Sirtuin4,Sirtuin5,Sirtuin6,Sirtuin7,pyroptosis",resulting in the inclusion of 71 articles.RESULTS AND CONCLUSION:(1)The sirtuin family all participates in the regulation of pyroptosis.(2)Overexpression of sirtuin1 and sirtuin4 can inhibit pyroptosis through various pathways,thus alleviating the damage caused by pyroptosis to the organism.(3)In addition to affecting the classical pathway of pyroptosis,sirtuin3 can also inhibit pyroptosis by enhancing mitochondrial reactive oxygen species scavenging capacity and mitosis.(4)Sirtuin5 is involved in the regulation of intracellular metabolism and energy balance,including energy intake,storage,and consumption.(5)Sirtuin6 can influence pyroptosis through various pathways and also affect macrophage M1 polarization,generation of reactive oxygen species,and cleavage of pyroptosis-related factor sclerotin D to inhibit pyroptosis.(6)Overexpression of sirtuin7 can suppress pyroptosis.(7)Sirtuin2,unlike other family members,can restrain pyroptosis only after knockdown,but there are fewer reports,requiring more in-depth and comprehensive research.

Objective:To explore the impact of marital status on the prognosis of adult patients with primary intrahepatic cholangiocarcinoma.Methods:3283 patients with primary intrahepatic single tube carcinoma from 1998 to 2018 were collected.They were divided into married group(n=1999)and unmarried group(n=1284)based on marital status.The clinical data of adult patients with primary intrahepatic cholangiocarcinoma of different marital statuses were compared.Kaplan Meier survival curves were used to analyze the survival status of adult patients with primary intrahepatic cholangiocarcinoma in different marital statuses.Univariate and multivariate Cox regression analysis were used to investigate the factors affecting the survival of adult patients with primary intrahepatic cholangiocarcinoma.Kaplan Meier survival curves were used to analyze the survival status of adult patients with primary intrahepatic cholangiocarcinoma in different marital statuses,including whether they received surgical treatment,radiotherapy treatment,and gender differences.Results:The proportion of male patients,the proportion of white patients,the proportion of patients over 60 years old,the proportion of patients receiving surgical treatment,the proportion of patients receiving radiotherapy,and the proportion of patients receiving chemotherapy in the married group were higher than those in the unmarried group(P＜0.05).Kaplan Meier survival curve analysis results showed that,the 3-month and 5-year survival rates between married and unmarried groups were Log-rank test P＜0.05.Multivariate Cox regression analysis showed that,age over 60 years old,later tumor stage,surgical treatment,radiotherapy,and chemotherapy were risk factors for survival in adult patients with primary intrahepatic cholangiocarcinoma(P＜0.05).Kalplan Meier survival curve results showed that,there was no significant difference in 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who received surgical treatment(Log-Rank test P=0.381).There was a significant difference in the 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who have not received surgical treatment(Log-Rank test P=0.015).There was no significant difference in 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who received radiotherapy(Log-Rank test P=0.073).There was a significant difference in the 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who have not received radiotherapy(Log-Rank test P＜0.001).There was no significant difference in 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who received chemotherapy(Log-Rank test P=0.337).There was a significant difference in the 5-year survival rate between married and unmarried adult patients with primary intrahepatic cholangiocarcinoma who have not received chemotherapy(Log-Rank test P＜0.001).There was no significant difference in the survival status of male patients with primary intrahepatic cholangiocarcinoma in adults of different marital statuses(Log-Rank test P=0.136).There were differences in the survival status of female patients with primary intrahepatic cholangiocarcinoma in adults of different marital statuses(Log-Rank test P＜0.001).Conclusion:Male,white,and over 60 years old are risk factors for the occurrence of primary intrahepatic cholangiocarcinoma in adults.Among them,more than half of the patients did not receive surgery or radiotherapy treatment,and about half of the patients did not receive chemotherapy.Married individuals are more likely than unmarried individuals to undergo anti-tumor treatments such as surgery,radiotherapy and chemotherapy.The staging of intrahepatic cholangiocarcinoma and whether surgery or chemotherapy is received are independent predictors of long-term survival.Marital status is not an independent predictor and can indirectly affect long-term survival.Male marital status has no significant survival benefits for this disease,while female marital status has survival benefits for this disease.The marital status of patients with intrahepatic cholangiocarcinoma who have not undergone radiotherapy,chemotherapy,or surgical intervention has a significant impact on their survival outcomes.

Objective:This study aims to investigate the spillover effects of the Diagnosis-Related Groups payment reform on medical expenditures.Methods:Based on the medical record data of inpatients in a tertiary Grade A hospital in Wuhan,Hubei Province,the Difference-in-Differences method was applied to estimate the impact of the DRG reform on medical expenditures for non-local patients.Results:After the implementation of DRG payment,the total medical expenses(β=-0.13),out-of-pocket expenses(β=-0.22),drug expenses(β=-0.25),consumable expenses(β=-0.26)decreased significantly.Meanwhile,the reduction ranges of the level and proportion of out-of-pocket expenses for non-local inpatients were significantly larger than those for local inpatients.However,the reduction range of the proportion of drug expenses for non-local inpatients was significantly smaller than that for local inpatients.The gaps between the two groups in terms of the level of out-of-pocket expenses and the proportion of drug expenses gradually narrowed.Conclusion:The DRG payment reform has produced a significant spillover effect,leading to a decrease in the medical expense level and an improvement in the expense structure for non-local inpatients.However,the medical expenses of non-local inpatients remain relatively high.It is suggested to accelerate the inclusion of non-local inpatients in disease-specific payment management and strengthen the coordination between the hospital's internal operation management and the reform of medical insurance payment methods.

Objective:To explore the equity and driving path of primary healthcare human resource allocation across 31 provinces in China,providing references for optimizing such allocations.Methods:Using data from the 2022 primary healthcare human resources in 31 provinces in China,the Health Resource Density Index(HRDI)was used to measure the equity of primary healthcare human resource allocation.The fuzzy-set Qualitative Comparative Analysis(fsQCA)was applied to construct configurational pathways influencing on allocation patterns.Results:In 2022,the HRDI for primary healthcare human resources in China was 2.349 0 in the East,1.198 6 in the Central region,and 0.775 2 in the West.Configurational analysis revealed three paths that promote high equity:the internal-external balance-driven model(H1),the government-led model(H2),and the economic-demand combined model(H3),with overall consistency and coverage of 0.955 and 0.794,respectively.Seven paths lead to low equity:internal-external constraint models(L1,L2),economic constraint models(L3),and demand constraint models(L4,L5,L6,L7),with overall consistency and coverage of 0.967 and 0.795,respectively.Conclusions:Significant regional disparities exist in the equity of primary healthcare human resource allocation in China.Population density is a critical factor influencing allocation equity.The collaboration of various factors contributes to enhancing the equity of primary healthcare human resources distribution.Therefore,future efforts to enhance equity should focus on promoting inter-regional mobility and resource sharing,while precisely addressing regional shortcomings to achieve high equity in primary healthcare human resource allocation.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.