Objective: To investigate the correlation between color parameters (L^*, a^*, b^*, Eab^*) and the contents of reducing sugars, total polysaccharides, total oligosaccharides, as well as four saccharides (fructose, glucose, sucrose, and kestose) during the nine cycles of steaming and sun-drying processing of Polygonatum kingianum, and to preliminarily explore the optimal processing duration.
Methods: The color changes were objectively evaluated using a colorimeter. The anthrone-sulfuric acid method was employed to determine total polysaccharides and oligosaccharides. The 3,5-dinitrosalicylic acid (DNS) colorimetric method was used to measure total reducing sugar content. High-performance liquid chromatography coupled with charged aerosol detection (HPLC-CAD) was applied for quantitative analysis of fructose, glucose, sucrose, and kestose. Multivariate statistical analysis was conducted to assess samples from different processing stages.
Results: Significant variations in color and component contents were observed across processing stages. The herbal pieces progressively darkened with increased processing cycles: brightness (L^*) and total color difference (Eab^*) initially decreased then stabilized, while a^* (red-green) and b^* (yellow-blue) values first increased then declined. Total polysaccharides and oligosaccharides showed overall decreasing trends, whereas reducing sugars initially increased before stabilizing. Fructose and glucose levels rose continuously, while sucrose and kestose decreased progressively, becoming undetectable after five cycles.
Conclusion: The chromatic alteration and saccharide composition of P. kingianum showed significant correlation with processing duration. Both total color difference (Eab^*) and reducing sugar content stabilized after four processing cycles (12 hours), suggesting that four cycles of steaming and sun-drying may represent the optimal processing duration.

Objective: To analyze the epidemiological characteristics of category C intestinal infectious diseases among children and adolescents in Shenzhen from 2012 to 2024 and the association with meteorological factors, so as to provide a scientific basis for the targeted prevention and control of infectious diseases for children and adolescents. Methods: Using data from the "Infectious Disease Reporting Information Management System" of the "China Disease Prevention and Control Information System" covering the period from January 1, 2012 to December 31, 2024, the study analyzed clinical and confirmed cases of hand, foot, and mouth disease, other infectious diarrhea, and acute hemorrhagic conjunctivitis among individuals aged 6-19 years old to describe demographic and temporal characteristics. It used Joinpoint regression to calculate the average annual percent change (AAPC) and annual percent change (APC) to analyze incidence trends, and Spearman s correlation was combined to generalize linear models so as to assess the association between category C intestinal infectious diseases and meteorological factors. Results: From 2012 to 2024, a cumulative total of 61 019 cases of hand, foot, and mouth disease among children and adolescents, 58 498 cases of other infectious diarrhea, and 6 377 cases of acute hemorrhagic conjunctivitis were reported. The AAPC in the incidence rates of these three diseases was 19.19%, 31.03% and 31.48 %, respectively(all P <0.05). Notably, the incidence of hand, foot, and mouth disease increased significantly after 2022 (APC= 133.66 %, P <0.01). The temporal distribution showed that hand,foot,and mouth disease was most prevalent in May,June and July (seasonal index of 2.39,3.64,1.97), other infectious diarrhea was most prevalent in February,March and December (seasonal index of 1.22,1.25,1.47), and acute hemorrhagic conjunctivitis peaked in September and October (seasonal index of 4.22,2.16). Monthly average temperature could increase the risk of hand,foot,and mouth disease( β = 0.18 ,95% CI =0.11-0.25); as monthly average wind speed increased, the incidence of other infectious diarrhea ( β =-0.86, 95% CI = -1.50 to -0.22) and acute hemorrhagic conjunctivitis ( β =-1.32, 95% CI =-2.60 to -0.05) both decreased (all P < 0.05 ). Conclusions Among children and adolescents in Shenzhen, category C intestinal infectious diseases remain prevalent throughout the year；the number of reported hand, foot, and mouth disease cases has shown an upward trend in recent years.Temperature and wind speed significantly affect the number of reported cases of three types with category C intestinal infectious diseases.

Objective To conduct a scoping review of the application of gamification programs in exercise rehabilitation for knee osteoarthritis,examining the application carriers,game content,outcome indicators,measurement tools,and application effects of gamification programs,to provide references for future practice and related research in this field.Methods The search was conducted in PubMed,Web of Science,Cochrane Library,Scopus,CIN AHL,China National Knowledge Infrastructure,CNKI,and Wanfang Data from their inception to December 28,2024.The included studies were summarized and analyzed.Results A total of 28 studies were included in the review.The game carriers encompassed virtual reality technology,sensor devices,and mobile applications.The game content covered interactive motion games,aerobic exercises,and goal-motivated games.Outcome indicators included functional performance,physical activity,pain,psychological and health status,and user experience.Gamification programs were found to effectively enhance user engagement,improve physical function,reduce negative emotions,and improve quality of life.However,there remains controversy regarding their efficacy in pain relief.Conclusion Gamification programs have shown positive effects in exercise rehabilitation for knee osteoarthritis.Future efforts should focus on developing gamification programs that are culturally appropriate for China,creating"digital therapeutics",continuously updating systems,conducting economic evaluations,and ensuring digital equity to enhance patients'rehabilitation experiences and improve health outcomes.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

In this work,with tris(4-aminophenyl)amine(TAPA)and 1,3,5-tris(4-formylphenyl)benzene(TFPB)as monomers,an imine-type porous organic polymer,TAPA-TFPB,was synthesized using a simple method under the catalysis of acetic acid.The material TAPA-TFPB was used as solid-phase extraction adsorbent and combined with ultra-performance liquid chromatography/quadrupole time-of-flight-tandem mass spectrometry(UHPLC-QTOF-MS)to establish a detection method for four kinds of nitrofuran metabolites(NFMs)residues in meat samples.The parameters of the adsorbent dosage,the pH value and volume of sample,and the type and volume of washing and eluent solvents were optimized,respectively.Under the optimal extraction conditions,low detection limits(0.11-1.60 μg/kg)were achieved for four kinds of NFMs.At three different spiked levels,the intra-day and inter-day precisions(Relative standard deviations)were 2.8% -10.9% and 4.3% -16.2%,respectively,and the spiked recoveries were 72.0% -107.2%.The results showed that the method chould be used for efficient extraction and analysis of trace NFMs residues in meat samples,indicating that TAPA-TFPB was a kind of promising SPE adsorbent.

Nitrofurantoin(NFT)is a nitrofuran antibiotic commonly used as a veterinary drug to treat bacterial infections in animals.However,due to the low solubility and bioaccumulation properties,NFT is prone to leave excessive residues in animal-derived foods and water systems,posing serious threats to human health and ecosystems.Therefore,there is an urgent need to develop an efficient and rapid detection method for NFT.In this work,nitrogen-doped carbon nanomaterials with unique bowl-like structures(N-CNBs)were synthesized via a hydrothermal-carbonization method.The morphology,surface structure,and specific surface area of N-CNBs were characterized using transmission electron microscopy(TEM),scanning electron microscopy(SEM),and X-ray photoelectron spectroscopy(XPS).The N-CNB modified glassy carbon electrode(N-CNB/GCE)was prepared,and the electrochemical test revealed that the N-CNB/GCE exhibited higher conductivity and larger electrochemical active surface area compared to bare GCE and nitrogen-doped hollow carbon nanosphere-modified electrode(N-HCNS/GCE).Additionally,the N-CNB/GCE demonstrated superior electrocatalytic activity toward NFT.An NFT electrochemical sensor was constructed based on N-CNB/GCE.The detection conditions of the sensor were optimized,and differential pulse voltammetry(DPV)was employed for NFT detection under optimal experimental conditions.The established NFT electrochemical sensor had a wide linear range of 0.4-500 μmol/L,a low detection limit(S/N=3)of 0.015 μmol/L and high selectivity,with excellent stability and reproducibility.The practical feasibility of this sensor was confirmed by analysis of NFT in milk and tap water samples,with spiked recoveries ranging from 94.2%to 108.9%.

Objective:To explore applications of adjusting timing of nebulization and analgesic usage in patients after lung cancer surgery, to provide reference for postoperative rehabilitation of lung cancer.Methods:Adopting a prospective randomized controlled study design, a total of 84 patients with lung cancer who underwent surgery in affiliated hospital of Jining Medical University from September 2020 to June 2023 were enrolled by a convenience sampling method, they were randomly divided into experimental group and control group according to random number table method. Two groups was given routine perioperative care, on this basis, the control group received lip and abdomen contraction breathing training according to the conventional process, and the experimental group adjusted timing of nebulization and analgesic usage and received respiratory function training when nebulization and analgesics were at the peak of blood drug concentration. Pain level and exercise self-efficacy of two groups were compared.Results:There were 27 males and 15 females in the control group, aged (54.52 ± 14.06) years; and 24 males and 18 females in the experimental group, aged (53.33 ± 12.02) years. At one day, two days and three days after operation, the scores of Numerical Rating Scale (NRS) were (5.07 ± 0.84), (3.40 ± 0.49), (2.93 ± 0.87) in the experimental group, lower than (5.86 ± 1.05), (4.09 ± 0.88), (3.33 ± 0.65) in the control group, the differences were statistically significant ( t=3.79, 4.44.2.42, all P<0.05), and for both groups, the differences in the time effect, between-group effect, and the interaction effect were all statistically significant ( F=582.92, 44.65, 3.82, all P<0.05). Three days after operation, the dimensions of efficacy expectation, outcome expectation and total self-efficacy scores were (28.62 ± 6.75), (33.71 ± 7.04) and (62.33 ± 9.07) in the experimental group, and (25.52 ± 6.66), (30.43 ± 6.80) and (55.95 ± 9.34) in the control group, the differences were statically significant ( t=2.12, 2.18, 3.18, all P<0.05). Conclusions:Adjusting timing of nebulization and analgesic usage and giving respiratory function training for lung cancer surgery when nebulization and analgesics at the peak of blood drug concentration can effectively alleviate the pain caused by respiratory exercise and improve training self-efficacy of patients after lung cancer surgery.

BACKGROUND:Quantitative measurement of knee laxity after partial anterior cruciate ligament injury is crucial for timely diagnosis,post-treatment,and rehabilitation.There is a lack of research on the use of articular ligament digital arthrometer in the diagnosis of partial anterior cruciate ligament injury.OBJECTIVE:To investigate the diagnostic value of a new articular ligament digital arthrometer in partial anterior cruciate ligament injury.METHODS:Totally 30 patients with partial anterior cruciate ligament injury and 20 healthy volunteers were included.The anterior tibial translation values under 80,120,and 150 N loads were measured by a homebred digital arthrometer.The anterior tibial translation and side-to-side difference were compared between the partial anterior cruciate ligament group and control group.The receiver operating characteristic curve was analyzed and area under curve was calculated,and the diagnostic sensitivity and specificity of the digital arthrometer were determined.RESULTS AND CONCLUSION:(1)There was no significant difference in age,sex,body mass index,and course of disease between the partial anterior cruciate ligament injury group and control group(P＞0.05).(2)The side-to-side difference values of the partial anterior cruciate ligament injury group were significantly higher than those of the control group(P＜0.05),and the anterior tibial translation values of the injured side were significantly higher than those of the healthy side in the partial anterior cruciate ligament injury group(P＜0.05).(3)When the load was applied at 80 N,the diagnostic accuracy was highest(cutoff value=10.45 mm);the area under curve was 0.813(95％CI:0.708-0.919),and the sensitivity and specificity were 76.7％and 70.0％,respectively.(4)It is indicated that the digital arthrometer can objectively and quantitatively evaluate knee laxity after partial anterior cruciate ligament injury,and provide objective diagnostic basis for patients with partial anterior cruciate ligament iniurv.

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.

To retrospectively analyze the clinical data of 465 newly diagnosed patients with multiple myeloma (NDMM) admitted to the First Affiliated Hospital of Nanjing Medical University from December 2016 to December 2024, and compare the prognostic value of high-risk cytogenetic abnormalities (HRCAs) in NDMM patients under mSMART 3.0 and mSMART 4.0 risk stratification systems. The results showed that in both stratification systems, the prognosis of high-risk patients was worse than that of standard-risk patients. Moreover, a higher number of HRCAs was associated with a worse prognosis. The mSMART 4.0 system, which considers the coexistence of various cytogenetic abnormalities, provides a more precise definition of HRCA than mSMART 3.0. It demonstrates a superior ability to differentiate between different categories of cytogenetic risk.