Hygroscopicity research has long been a key focus and hot topic in Chinese materia medica（CMM）. Elucidating hygroscopic mechanisms plays a vital role in formulation design， process optimization， and storage condition selection. Hygroscopic models serve as essential tools for characterizing CMM hygroscopic mechanisms， with various types available. The double exponential model is a kinetic mathematical model constructed based on the law of conservation of energy and Fick's first law of diffusion， tailored to the physical properties of CMM extracts. In recent years， this model has been extensively applied to simulate the dynamic moisture absorption behavior of CMM extracts and solid dosage forms under varying humidity conditions. It has revealed the correlation between moisture absorption kinetic parameters and material properties， offering a new perspective for characterizing the moisture uptake behavior of CMM. This paper systematically reviews the application progress of this model in the field of CMM， analyzes its advantages， disadvantages， and challenges in this domain， and explores its potential application trends in other fields. It aims to provide references for elucidating the moisture absorption mechanisms of CMM and researching moisture-proofing technologies， while also offering insights for its broader application in food and polymer materials.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Objective: To investigate the trajectories of fasting blood glucose fluctuations and their influencing factors among patients with comorbidity of type 2 diabetes mellitus (T2DM), so as to provide the basis for strengthening blood glucose management in this population. Methods: In October 2023, data of patients diagnosed with comorbid T2DM from January to October 2021, including demographic information, lifestyle, health status and fasting blood glucose were collected through the chronic disease health management system of Minhang District, Shanghai Municipality. Fasting blood glucose fluctuation trajectories were analyzed by group-based trajectory model established based on fasting blood glucose values from January 2021 to October 2023. Influencing factors of fasting blood glucose fluctuation trajectories among patients with comorbidity of T2DM were analyzed using a multinomial logistic regression model. Results: A total of 907 patients with comorbidity of T2DM were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged ≥65 years, accounting for 71.89%. The group-based trajectory model analysis identified three trajectory groups: a low-level stable group (492 cases, 54.24%), a medium-level stable group (287 cases, 31.64%), and a high-level decreasing group (128 cases, 14.11%). Multinomial logistic regression analysis showed that, compared with the low-level stable group, patients with comorbidity of T2DM who had an education level of junior high school or below (OR=1.420, 95%CI: 1.011-1.995) or college degree or above (OR=2.109, 95%CI: 1.249-3.560), as well as those who engaged in regular exercise (OR=1.387, 95%CI: 1.017-1.893), were more likely to be in the medium-level stable group. Patients with comorbidity of T2DM who were overweight or obese (OR=1.675, 95%CI: 1.116-2.513) or had dyslipidemia (OR=3.195, 95%CI: 1.642-6.216) were more likely to be in the high-level decreasing group. Conclusions From January 2021 to October 2023, the fasting blood glucose levels of patients with comorbidity of T2DM exhibited three fluctuating trajectories: low-level stability, medium-level stability, and high-level decline. Compared with the low-level stable group, the medium-level stable group was mainly influenced by educational level and regular exercise. The high-level decline group was primarily affected by overweight/obesity and dyslipidemia.

In order to meet the need of autonomous control of patients with severe limb disorders, this paper designs a nursing bed control system based on motor imagery-brain computer interface (MI-BCI). In view of the low decoding performance of cross-subjects and the dynamic fluctuation of cognitive state in the existing MI-BCI technology, the neural network structure optimization and user interaction feedback enhancement are improved. Firstly, the optimized dual-branch graph convolution multi-scale neural network integrates dynamic graph convolution and multi-scale convolution. The average classification accuracy is higher than that of multi-scale attention temporal convolution network, Gram angle field combined with convolution long short term memory hybrid network, Transformer-based graph convolution network and other existing methods. Secondly, a dual visual feedback mechanism is constructed, in which electroencephalogram (EEG) topographic map feedback can improve the discrimination of spatial patterns, and attention state feedback can enhance the temporal stability of signals. Compared with the single EEG topographic map feedback and non-feedback system, the average classification accuracy of the proposed method is also greatly improved. Finally, in the four classification control task of nursing bed, the average control accuracy of the system is 90.84%, and the information transmission rate is 84.78 bits/min. In summary, this paper provides a reliable technical solution for improving the autonomous interaction ability of patients with severe limb disorders, which has important theoretical significance and application value.
Humans ; Brain-Computer Interfaces ; Deep Learning ; Electroencephalography ; Feedback, Sensory ; Neural Networks, Computer ; Beds

Objective To analyze the usage of pediatric drugs in 17 pediatric specialty hospitals from 2016 to 2020, and provide reference and guidance for the development of the essential medicine list （EML） for children and the improvement of the National Reimbursement Drug List （NRDL） in China. Methods Based on the pediatric medication monitoring data from 17 children's specialized hospitals reported to the Chinese Medical Economic Information Network (CMEI) of the Chinese Pharmaceutical Association between 2016 and 2020, this study analyzes the overall situation of the sample hospitals and the clinical use of pediatric drugs according to the major categories of the Anatomical Therapeutic Chemical Classification System （ATC）. Results In the various ATC categories, the trend of systemic use of anti-infective drugs decreasing was significant in the average hospital expenditure, while the trend of respiratory and digestive system and metabolic drugs decreasing was significant in the average hospital DDDS. In 2020, the average number of hospital grade standards for essential drugs （2018 version） accounted for 15.82% of the total number of drug use standards, while the average number of hospital grade standards for medical insurance （2019 version） accounted for 8.23% of the total number of drug use standards. Conclusion The use of pediatric medication in sample hospitals from 2016 to 2020 was generally reasonable, and there would still a certain gap between the actual clinical usage habits with the existing EML and NRDL，which still need to be adjusted.

Objective To evaluate the efficacy and safety of transcatheter arterial chemoembolization(TACE)followed by hepatic arterial infusion chemotherapy(HAIC)combined with TKI drugs and PD-1 inhibitors as the first-line treatment for advanced hepatocellular carcinoma(HCC).Methods We retrospectively analyzed the data of 70 patients with advanced HCC treated in the Department of Oncology of Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine between July,2020 and June,2023.23 of the patients received TACE combined with HAIC and TKI(TACE+HAIC+TKI group)and 47 received TACE combined with HAIC,PD-1 inhibitors and TKI(TACE+HAIC+PD-1+TKI group).The clinical characteristics,laboratory test results,efficacy,outcomes and adverse events of the patients were compared between the two groups.Results The TACE+HAIC+TKI and TACE+HAIC+PD-1+TKI groups had significantly different objective remission rates(ORR;60.87%vs 36.17%,P=0.031),comparable disease control rates(95.65%vs 93.62%,P=0.068),and different median progression-free survival(PFS)time(10.2 vs 11.8 months,P=0.003)and median overall survival(OS)time(15.7 vs 19.5 months,P=0.035).After propensity score matching(PSM),the median PFS and OS time of the two groups was 10.1 vs 14.5 months(P=0.024)and 14.2 vs 21.2 months(P=0.221),respectively.The 1-year PFS rates of the 2 groups were 24.0%vs 52.2%,and the 1-,2-and 3-year OS rates were 72.3%vs 93.1%,23.9%vs 63.8%,and 23.9%vs 36.5%,respectively.The incidence of proteinuria was significantly higher in TACE+HAIC+PD-1+TKI group than in TACE+HAIC+TKI group(21.28%vs 0,P=0.025),but the incidences of grade 3-4 treatment-related adverse events were all similar between the two groups.Conclusion The first-line treatment with TACE+HAIC+PD-1+TKI is safe and effective for advanced HCC and can significantly prolong the survival of the patients.

Objective To evaluate the efficacy and safety of transcatheter arterial chemoembolization(TACE)followed by hepatic arterial infusion chemotherapy(HAIC)combined with TKI drugs and PD-1 inhibitors as the first-line treatment for advanced hepatocellular carcinoma(HCC).Methods We retrospectively analyzed the data of 70 patients with advanced HCC treated in the Department of Oncology of Guangdong Provincial Hospital of Integrated Traditional Chinese and Western Medicine between July,2020 and June,2023.23 of the patients received TACE combined with HAIC and TKI(TACE+HAIC+TKI group)and 47 received TACE combined with HAIC,PD-1 inhibitors and TKI(TACE+HAIC+PD-1+TKI group).The clinical characteristics,laboratory test results,efficacy,outcomes and adverse events of the patients were compared between the two groups.Results The TACE+HAIC+TKI and TACE+HAIC+PD-1+TKI groups had significantly different objective remission rates(ORR;60.87%vs 36.17%,P=0.031),comparable disease control rates(95.65%vs 93.62%,P=0.068),and different median progression-free survival(PFS)time(10.2 vs 11.8 months,P=0.003)and median overall survival(OS)time(15.7 vs 19.5 months,P=0.035).After propensity score matching(PSM),the median PFS and OS time of the two groups was 10.1 vs 14.5 months(P=0.024)and 14.2 vs 21.2 months(P=0.221),respectively.The 1-year PFS rates of the 2 groups were 24.0%vs 52.2%,and the 1-,2-and 3-year OS rates were 72.3%vs 93.1%,23.9%vs 63.8%,and 23.9%vs 36.5%,respectively.The incidence of proteinuria was significantly higher in TACE+HAIC+PD-1+TKI group than in TACE+HAIC+TKI group(21.28%vs 0,P=0.025),but the incidences of grade 3-4 treatment-related adverse events were all similar between the two groups.Conclusion The first-line treatment with TACE+HAIC+PD-1+TKI is safe and effective for advanced HCC and can significantly prolong the survival of the patients.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.

Objective To explore the feasibility,importance,and pediatric characteristics of the construction modules and scenarios of pediatric smart wards,as well as the priority level of construction in different scenarios,in order to provide a basis for the phased construction of pediatric smart ward scenarios.Methods A systematic evaluation of the scenario construction of smart wards was conducted through literature review,key informant surveys.Results By systematically scoring and ranking the construction of 15 projects and 57 application scenarios under the three modules of smart management,smart services,and smart healthcare,it is clear that in the practice of pediatric smart wards,priority should be given to the construction of certain scenarios based on the high and low scores and actual conditions,and gradually promote the construction of other scenarios.Conclusion The pediatric smart ward scene has both the universality of traditional smart ward construction needs and its own disciplinary characteristics.Therefore,in the construction process,it is necessary to widely understand the actual needs and carry out targeted smart scene construction that is in line with pediatric characteristics.

BACKGROUND:Inflammation,oxidative stress and bacterial infection are the main causes of delayed wound healing in diabetes.In recent years,various inorganic nanomaterials have been widely used in the treatment of skin wound healing due to their antibacterial activities,but their effects on anti-oxidation and anti-inflammation are limited. OBJECTIVE:To investigate the effect of Prussian blue nanoparticles on the wound repair of diabetes in terms of antioxidant,anti-inflammatory and photothermal antibacterial activities. METHODS:Prussian blue nanoparticles were prepared and characterized.(1)In vitro:The biocompatibility of Prussian blue nanoparticles with different concentrations was detected by MTT assay.The cytoprotective effect of Prussian blue nanoparticles and the intracellular reactive oxidative species level were examined under the condition of hydrogen peroxide.The ability of Prussian blue nanoparticles to decompose hydrogen peroxide and superoxide anion radicals was tested;the effect of Prussian blue nanoparticles on lipopolysaccharide-induced macrophage inflammation was investigated.The photothermal antibacterial activity of Prussian blue nanoparticles was detected by the plate colony counting method.(2)In vivo:ICR mice were intraperitoneally injected with streptozotocin to establish a diabetes mouse model.After the model was successfully established,a 6 mm wound was created on the back with a hole punch.There were the control group(no treatment),the Prussian blue group and the Prussian blue with light group.The wound healing and histomorphological changes were observed. RESULTS AND CONCLUSION:(1)In vitro:Prussian blue nanoparticles in 25-200 μg/mL were non-toxic to cells.Prussian blue nanoparticles had the extremely strong antioxidant capacity and mitigated the intracellular reactive oxidative species at a high oxidative stress environment,resulting in a pronounced cytoprotective effect.The Prussian blue nanoparticles not only exhibited hydrogen peroxide degradation activity but also showed strong superoxide scavenging ability.Prussian blue nanoparticles also displayed significant anti-inflammatory activity and extremely strong antibacterial ability after light irradiation.(2)In vivo:After 14 days,the wound sizes of the Prussian blue group and Prussian blue with light group were significantly reduced,and the healing speed of Prussian blue with light group was the fastest.Hematoxylin-eosin and Masson staining showed a lot of granulation tissue formation and collagen deposition in the Prussian blue group and the Prussian blue with light group,of which the Prussian blue with light group was the most.Immunofluorescence staining displayed that,compared with the control group,the expressions of α-SMA and CD31 were increased significantly in Prussian blue group and Prussian blue with light group(P<0.05),but F4/80 expression was decreased significantly in Prussian blue group and Prussian blue with light group(P<0.05),indicating more obvious improvement in the Prussian blue with light group.(3)These results showed that Prussian blue nanoparticles could promote the skin wound healing of the diabetes mouse model by exerting anti-inflammatory,antioxidant and antibacterial effects.