Ulcerative colitis is a chronic relapsing inflammatory bowel disease. Modern research indicates that immune dysregulation resulting from disruptions in circadian rhythm is closely associated with its pathogenesis. Both Western chronomedicine and traditional Chinese medicine（TCM）" treatment based on temporal factors" emphasize the temporal relationship between natural rhythms and human physiology and pathology. The " midnight-noon and ebb-flow " theory represents the concrete application and deepening of TCM " treatment based on temporal factors" within the realm of chronomedicine. This article correlates the onset time of ulcerative colitis with specific periods in the " midnight-noon and ebb-flow"theory：the Mao period（05：00-07：00），when the yangming large intestine meridian of hand is dominant； the Si period（09：00-11：00），when the taiyin spleen meridian of foot is dominant； and the You period（17：00-19：00），when the shaoyin kidney meridian of foot is dominant. According to this perspective，if the disease manifests during the Mao period，the pathogenesis is attributed to dampnessheat accumulation and disorder of qi and blood. Treatment should focus on clearing heat，resolving dampness，and harmonizing qi and blood，using modified formulas such as Shaoyao Decoction or Baitouweng Decoction. If it occurs during the Si period，the pathogenesis involves spleen deficiency with dampness obstruction and disharmony of qi and blood. Treatment should focus on strengthening the spleen，eliminating dampness，and restoring qi and blood，using modified formulas such as Huangya Decoction or Shenling Baizhu Powder. If it presents during the You period，the pathogenesis is characterized by fire failing to warm earth，and consumption resulting in qi and blood leakage. Treatment should focus on warming the kidney and spleen，and securing qi and blood，using modified formulas such as Sishen Pill or Tianhun Decoction. In addition to oral administration of Chinese herbal medicine，comprehensive therapies including acupuncture，herbal enemas，and acupoint application can provide novel insights for the clinical diagnosis and treatment of ulcerative colitis.

Recently, diffusion models have emerged as a promising paradigm for molecular design and optimization. However, most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geometries, with limited research on molecular sequence diffusion models. The International Union of Pure and Applied Chemistry (IUPAC) names are more akin to chemical natural language than the Simplified Molecular Input Line Entry System (SMILES) for organic compounds. In this work, we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language (SMILES) and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language. We propose DiffIUPAC, a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings. Evaluation results demonstrate that our model outperforms existing methods and successfully captures the semantic rules of both chemical languages. Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints. Additionally, to illustrate the model's applicability in drug design, we conducted case studies in functional group editing, analogue design and linker design.

Flavonoids are key bioactive components for evaluating the pharmacological activities of Chimonanthus praecox. Exploring the potential flavonoids and pharmacological mechanisms of C. praecox lays a foundation for the rational development and efficient utilization of this plant. This study employed ultra-performance liquid chromatography-tandem mass spectrometry-based widely targeted metabolomics to comprehensively identify the flavonoids in C. praecox. Network pharmacology was employed to explore the bioactive flavonoids and their mechanisms of action. Molecular docking was adopted to validate the predicted results. Finally, the content of bioactive flavonoids in different varieties of C. praecox was measured. The widely targeted metabolomics analysis identified 387 flavonoids in C. praecox, and the flavonoids varied among different varieties. Network pharmacology predicted 96 chemical components including 19 bioactive compounds, 181 corresponding targets and 2 504 disease targets, among which 99 targets were shared by the active components and the disease. Thirty-three core targets were predicted, involving 229 gene ontology terms and 99 pathways (P≤0.05), which indicated that the flavonoids components of C. praecox exhibited pharmacological activities including antioxidant, anti-inflammatory, antimicrobial, and antiviral activities. Topological analysis screened out five core components (salvigenin, laricitrin, isorhamnetin, quercetin, and 6-hydroxyluteolin) and five core targets (SRC, PIK3R1, AKT1, ESR1, and AKR1C3). The predicted bioactive flavonoids from C. praecox stably bound to key targets, which indicated that these flavonoids possessed potential bioactivities in their interactions with the targets. The flavonoids in C. praecox exerted pharmacological activities in a multi-component, multi-target, and multi-pathway manner. The combined application of metabolomics and network pharmacology provides a theoretical basis for in-depth studies on the pharmacological effects and mechanisms of C. praecox.
Flavonoids/metabolism* ; Network Pharmacology ; Metabolomics/methods* ; Molecular Docking Simulation ; Calycanthaceae/chemistry* ; Tandem Mass Spectrometry ; Drugs, Chinese Herbal/chemistry*

Prunus mume is an ecologically and economically valuable plant with both medicinal and edible values. However, drought severely limits the promotion and cultivation of P. mume in the arid and semi-arid areas in northern China. In this study, we treated P. mume 'Meiren' with natural drought and then assessed photosynthetic and physiological indexes such as osmoregulatory substances, photosynthetic parameters, and antioxidant enzyme activities. Furthermore, we employed transcriptome sequencing to explore the internal regulatory mechanism of P. mume under drought stress. As the drought stress aggravated, the levels of chlorophyll a (Chla), chlorophyll b (Chlb), chlorophyll (a+b)[Chl(a+b)], and soluble protein (SP) in P. mume first elevated and then declined. The net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (Tr), maximum photochemical efficiency (Fv/Fm), effective photochemical quantum yield [Y(Ⅱ)], photochemical quenching (qP), and relative electron transport rate (ETR) all kept decreasing, while the levels of malondialdehyde, superoxide dismutase (SOD), peroxidase (POD), and osmoregulatory substances rose. Transcriptome sequencing revealed a total of 24 853 high-quality genes. Gene ontology (GO) enrichment showed that differentially expressed genes (DEGs) were the most under severe drought. Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis showed that the DEGs during the four drought periods were mainly involved in the biosynthesis of secondary metabolites, plant-pathogen interaction, plant hormone signal transduction, starch and sucrose metabolism, and mitogen-activated protein kinase signaling pathways. Furthermore, we identified 16 key genes associated with the drought tolerance of P. mume 'Meiren'. This study discovered that P. mume might up-regulate or down-regulate the expression of drought tolerance-related genes such as SUS, P5CS, LEA, SOD, POD, SOD1, TPPD, and TPPA via transcription factors like MYB, ERF, bHLH, NAC, and WRKY to promote the accumulation of osmoregulatory substances like sucrose and enhance the activities of antioxidant enzymes such as SOD and POD, thus reducing the harm of reactive oxygen species and protecting the structure and function of the membrane system under drought stress. The findings provide theoretical references for further exploration of candidate genes of P. mume in response to drought stress and breeding of drought-tolerant varieties.
Droughts ; Photosynthesis/physiology* ; Gene Expression Regulation, Plant ; Stress, Physiological/genetics* ; Prunus/genetics* ; Chlorophyll/metabolism* ; Plant Proteins/genetics*

We studied the genetic diversity and established the DNA molecular identify for Prunus mume with both ornamental and edible values, aiming to collect, identify, evaluate, and breed new varities of this plant and promote the upgrading of the P. mume industry chain in northern China. We employed 13 pairs of primers with good polymorphism, clear bands, and good repeatability to analyze the genetic diversity and establish the molecular identify of 68 germplasm accessions of P. mume with both ornamental and edible values from Xingtai, Hebei Province. We then employed the unweighted pair-group method with arithmetic means (UPGMA) to perform the cluster analysis based on genetic distance. After that, we analyzed the genetic structure of the 68 germplasm accessions based on a Bayesian model. The 13 pairs of SSR primers amplified a total of 124 alleles from 68 P. mume germplasm accessions, with the mean number of alleles (Na) of 9.538 5, the minor allele frequency (MAF) of 0.369 3, the mean number of effective alleles (Ne) of 4.483 5, and the mean Shannon genetic diversity index (I) of 1.712 4. The mean Nei's gene diversity index (H) of 0.763 7, the mean observed heterozygosity (Ho) of 0.719 5, the mean expected heterozygosity (He) of 0.769 3, the mean polymorphism information content (PIC) of 0.733 6, and the mean genetic similarity (GS) of 0.772 9 suggested that there were significant genetic differences and rich genetic diversity among the studied P. mume germplasm accessions. The cluster analysis revealed that the 68 accessions were classified into three groups, with the mean genetic distance of 0.622 6. The population structure analysis classified the germplasm accessions into two populations. According to the PIC of primers, we selected primers for combination and constructed the combination with the fewest primers required for germplasm differentiation of P. mume with both ornamental and edible values. This study provides a theoretical basis for the innovation and industrial upgrading of P. mume with both ornamental and edible values in gardening and the improvement of breeding efficiency.
Prunus/classification* ; Microsatellite Repeats/genetics* ; Genetic Variation ; China ; Phylogeny ; Polymorphism, Genetic ; DNA, Plant/genetics* ; Alleles

This paper explored the significance and value of building a doctor-patient narrative community in clinical practice.It was clarified that clinical practice guided by evidence-based medicine thinking is essentially a"narrative"process:patients narrate their illness stories,and doctors,through a series of humanistic narrative practices,strengthen trust and empathy between patients and doctors on an emotional and ethical level,while bridging cognitive gaps,enhancing diagnostic and treatment outcomes,and ultimately fostering a harmonious and efficient doctor-patient narrative community relationship.The realization of a doctor-patient narrative community not only optimizes the treatment process but also enhances patients'self-efficacy and doctors'professional satisfaction,which is conducive to saving medical costs,optimizing public health governance,and highlighting a harmonious social atmosphere.

Recently,diffusion models have emerged as a promising paradigm for molecular design and optimization.However,most diffusion-based molecular generative models focus on modeling 2D graphs or 3D geom-etries,with limited research on molecular sequence diffusion models.The International Union of Pure and Applied Chemistry(IUPAC)names are more akin to chemical natural language than the simplified molecular input line entry system(SMILES)for organic compounds.In this work,we apply an IUPAC-guided conditional diffusion model to facilitate molecular editing from chemical natural language to chemical language(SMILES)and explore whether the pre-trained generative performance of diffusion models can be transferred to chemical natural language.We propose DiffIUPAC,a controllable molecular editing diffusion model that converts IUPAC names to SMILES strings.Evaluation results demonstrate that our model out-performs existing methods and successfully captures the semantic rules of both chemical languages.Chemical space and scaffold analysis show that the model can generate similar compounds with diverse scaffolds within the specified constraints.Additionally,to illustrate the model's applicability in drug design,we conducted case studies in functional group editing,analogue design and linker design.

The operation assistant work team of public hospitals is an important bridge and link to realize the integration of industry and finance,and an important practitioner to promote the realization of lean operation management.It examines the service model of the operation assistant team engaged in Similar Multi-disciplinary Treatment,focusing on organizational structure,job responsibilities,and service mechanisms.Build a four-tiered lean operational management system and set up an operation assistant work team that combines production,university and research.Based on specific management matters,establish an operation assistant service mechanism such as problem assessment and classification management mechanism,project standardization management mechanism,reward and punishment assessment mechanism,etc.,to promote the optimization and integration of hospital medical education,research,prevention and management and core elements such as human,talent,material and technology resources.Help public hospitals to continuously improve their lean operation management level.

Objective:To explore the relationship between trait anger and depression among college students, as well as the mediating roles of perceived stress and emotion-oriented coping strategies.Methods:From March to April 2022, a total of 2 037 college students were surveyed by the trait anger scale, the perceived stress scale, the coping inventory for stressful situations, and the 9-item patient health questionnaire.The collected data were analyzed by SPSS 27.0 software and AMOS 24.0 statistical software packages.Results:The score of trait anger among college students was (14.78±3.56), the score of perceived stress was (10.02±4.77), the score of emotion-oriented coping was (14.43±3.38), and the score of depression was 2.00(0, 9.00). Correlation analysis showed that depression was significantly and positively correlated with temperamental anger, reactive anger, perceived stress, and emotion-oriented coping ( r=0.303-0.467, all P<0.01). Temperamental anger and reactive anger were significantly and positively correlated with both perceived stress and emotion-oriented coping ( r=0.279-0.332, all P<0.01). Emotion-oriented coping was significantly and positively correlated with perceived stress ( r=0.397, P<0.01). Mediation effect analysis showed that the total effect of trait anger on depression was 0.420. The direct effect of trait anger on depression was 0.241, accounting for 57.38% of the total effect. The mediating effects of perceived stress and emotion-oriented coping were 0.145 and 0.024, accounting for 34.52% and 5.72% of the total effect, respectively. The chain mediating effect of perceived stress and emotion-oriented coping was 0.010, accounting for 2.38% of the total effect. Conclusion:Trait anger can significantly and positively predict depression among college students, and it can also positively predict the level of depression among college students through the chain mediation effect of perceived stress and emotion orientation.

Objective:To explore the relationship between trait anger and depression among college students, as well as the mediating roles of perceived stress and emotion-oriented coping strategies.Methods:From March to April 2022, a total of 2 037 college students were surveyed by the trait anger scale, the perceived stress scale, the coping inventory for stressful situations, and the 9-item patient health questionnaire.The collected data were analyzed by SPSS 27.0 software and AMOS 24.0 statistical software packages.Results:The score of trait anger among college students was (14.78±3.56), the score of perceived stress was (10.02±4.77), the score of emotion-oriented coping was (14.43±3.38), and the score of depression was 2.00(0, 9.00). Correlation analysis showed that depression was significantly and positively correlated with temperamental anger, reactive anger, perceived stress, and emotion-oriented coping ( r=0.303-0.467, all P<0.01). Temperamental anger and reactive anger were significantly and positively correlated with both perceived stress and emotion-oriented coping ( r=0.279-0.332, all P<0.01). Emotion-oriented coping was significantly and positively correlated with perceived stress ( r=0.397, P<0.01). Mediation effect analysis showed that the total effect of trait anger on depression was 0.420. The direct effect of trait anger on depression was 0.241, accounting for 57.38% of the total effect. The mediating effects of perceived stress and emotion-oriented coping were 0.145 and 0.024, accounting for 34.52% and 5.72% of the total effect, respectively. The chain mediating effect of perceived stress and emotion-oriented coping was 0.010, accounting for 2.38% of the total effect. Conclusion:Trait anger can significantly and positively predict depression among college students, and it can also positively predict the level of depression among college students through the chain mediation effect of perceived stress and emotion orientation.