ObjectiveTo analyze the infection status of main respiratory pathogens in influenza-like illness (ILI) cases in Anji County, Huzhou City, Zhejiang Province, and to provide a reference for the prevention, diagnosis, and treatment of respiratory infections. MethodsThroat swab samples were collected from 520 ILI cases in an influenza sentinel surveillance hospital in Anji County of Zhejiang Province from December 2023 to November 2024. Multiplex real-time fluorescence quantitative polymerase chain reaction (mRT-PCR) was used to detect 18 pathogens and their subtypes, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A virus (Flu A), influenza A (H1N1) virus, influenza A (H3N2) virus, influenza B virus (Flu B), influenza B virus Victoria lineage (BV), influenza B virus Yamagata lineage (BY), coronavirus (CoV), human parainfluenza virus (HPIV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), adenovirus (ADV), human bocavirus (HBoV), enterovirus (EV), rhinovirus (RV), Mycoplasma pneumoniae (MP), Chlamydia pneumoniae (CP), and Streptococcus pneumoniae (SP). ResultsThe overall positivity rate of pathogens in 520 samples was 33.65%, among which the detection rates of Flu (9.14%), ADV (7.50%), SARS-CoV-2 (6.15%), and EV (3.65%) were relatively high. There were statistically significant differences in the overall positivity rate of pathogens by age and season (all P<0.05). The highest overall positivity rate was observed in the 5‒14 years old group (42.77%), and the overall positivity rate in winter (53.08%) was significantly higher than that in other seasons. ConclusionFrom 2023 to 2024, the main respiratory pathogens detected in ILI cases in Anji County were Flu, ADV, SARS-CoV-2, and EV. The epidemic characteristics showed age and seasonal specificity, so it is necessary to strengthen prevention and control for high-risk populations and epidemic seasons in a targeted manner.

ObjectiveThis paper aims to clarify the material basis of Gualou Niubangtang and establish a quantitative analysis method for its main constituents， providing a reference for the overall quality control of this preparation. MethodsThe constituents in the formula were systematically characterized based on ultra-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry （UPLC-Q-TOF-MS/MS）. Identification was performed by matching with the UNIFI 9.6 software and utilizing database platforms such as PubChem， ChemicalBook， and ChemSpider， combined with relevant literature reports. A quantitative analysis method for the seven main constituents in Gualou Niubangtang was established by using high performance liquid chromatography （HPLC）. ResultsUPLC-Q-TOF-MS/MS analysis identified 155 constituents， including 69 flavonoids， 36 terpenoids， 23 phenylpropanoids， 8 phenylethanoid glycosides， and 19 other types of constituents. In the established quantitative analysis method， the seven main constituents showed good linearity within their respective linear ranges. The precision， repeatability， stability， and spike recovery all met the required standards. The results showed that the content ranges of geniposide， liquiritin， hesperidin， arctiin， baicalin， oroxylin A-7-O-β-D-glucuronide， and wogonoside in 15 batches of Gualou Niubangtang were 13.67-21.25， 1.20-7.64， 5.45-7.45， 22.97-33.51， 29.95-39.07， 2.58-4.80， and 6.56-9.31 mg·g^-1， respectively. ConclusionThis study successfully characterizes and attributes multi-category constituents in Gualou Niubangtang， clarifying that its material basis is primarily composed of flavonoids， terpenoids， phenylethanoid glycosides， and phenylpropanoids. Furthermore， it enables the quantification of seven constituents within the formula. This work lays a foundation for research on the quality control， action mechanism， and clinical application of this formula.

Digital and intelligent technologies serve as the core engine driving the inheritance of the essence and the innovation while upholding the fundamentals of traditional Chinese medicine（TCM）. Currently， the digital and intelligent transformation of TCM has undergone four developmental stages， exhibiting inherent characteristics such as long-term inevitability， objective standardization， and ecological evolution. By introducing quantitative metrics， digital and intelligent technologies have achieved breakthroughs in TCM knowledge inheritance and innovation， clinical diagnosis and treatment， and herbal medicine supply. The practical applicability of methodological innovations has been empirically validated， though significant disparities exist in technological adaptability and application depth across different fields. Overall， the digital and intelligent transformation of TCM remains in its nascent stage， grappling with multiple structural challenges：weak data foundations， inadequate technological adaptability， incomplete institutional frameworks， shortages of multidisciplinary talent， lagging policies and regulations， and urban-rural digital divide. In order to foster sustainable development and modernization of TCM， this paper establishes a six-dimensional collaborative governance framework of encompassing data， technology， organization， institutions， environment and ethics， which is rooted in data governance and digital governance theories. Future efforts should center on standardization， integration， and ecosystem development to build a data and technology foundation. Focus should be placed on deepening innovation and application of key TCM-specific technologies， while simultaneously strengthening interdisciplinary talent cultivation， improving institutional mechanisms and policy frameworks， and increasing support for rural areas. By adopting a people-centered and technology-empowered approach， we can overcome developmental constraints and unleash the powerful driving force of digital and intelligent technologies for the inheritance of TCM.

Objective:To investigate the longitudinal trajectories of symptom clusters in elderly patients with laparoscopic surgery for colon cancer, and explore the predictive factors for each trajectories subgroup.Methods:Using a longitudinal survey, elderly patients with laparoscopic surgery for colon cancer patients from Shanxi Bethune Hospital from January 2021 to January 2024 were collected by convenient sampling method. The Chinese Version of the MD Anderson Symptom Inventory Gastrointestinal Cancer Module was used to conduct follow-up surveys of the selected patients at 2 weeks, 1 month, 3 months and 6 months after surgery. The symptom cluster was extracted by exploratory factor analysis, and the latent category growth model was conducted to identify the trajectory subgroups of each symptom cluster, the predictive factors of each trajectory subgroup was analyzed by multiple Logistic regression analysis.Results:A total of 118 cases were concluded in the present study, there were 69 males and 49 females with an age of (74.85 ± 3.29) years old. There were 4 symptom clusters after surgery, which were named as energy deficit symptom cluster, digestive tract symptom cluster, sleep mental symptom cluster, and psychological fatigue symptom cluster, the variance contribution rates were respectively 62.486%, 71.209%, 73.937%, 63.476%. The results from latent class growth model showed that there were 3 trajectory subgroups in the symptom cluster: high level-slow decline group accounted for 33.0% (39/118), moderate level-stable decline group accounted for 39.0% (46/118), low level-rapid decline group accounted for 28.0% (33/118). College education or above tends to developed into low level-rapid decline group ( OR=0.365, 95% CI 0.083-0.603, P<0.05), while patients undergoing traditional laparoscopic surgery ( OR=3.679, 95% CI 1.297-4.432, P<0.05) and primary tumor stages of Ⅲ-Ⅳ were more likely to developed into high level-slow decline group ( OR=0.333, 95% CI 0.120-0.920, P<0.05). Conclusions:There are 4 symptom clusters in elderly patients with laparoscopic surgery for colon cancer, and the characteristics of postoperative symptom cluster changes demonstrate significant heterogeneity, medical staff should pay attention to the management of symptom clusters trajectory categories, dynamically adjust intervention plans to improve nursing quality.

OBJECTIVE To establish a method for determining the content of multiple components in Astragalus membranaceus,compare the content differences of Astragalus membranaceus in different regions and with different extraction methods in Gansu,and e-valuate the quality of Astragalus membranaceus from different origins of Gansu.METHODS Astragalus membranaceus samples from 40 origins in Gansu were collected on site.The content of Astragaloside Ⅳ,Calycosin-7-O-β-D-glucopyranoside,Ononin,Form-ononetin and Calycosin was determined by HPLC external standard method,and the quality differences of Astragalus membranaceus from 40 origins of Gansu were analyzed by combining bar graphs and line graphs.RESULTS Weiyuan County and Min County of Dingxi City showed high Astragaloside Ⅳ content in both extraction methods,indicating that the Astragalus membranaceus in these two regions has advantages in Astragaloside Ⅳ as an active component;for Calycosin-7-O-β-D-glucopyranoside and Ononin,although the performance of different regions in different extraction methods was different,in general,Weiyuan County and Min County of Dingxi City and Longnan City showed high content in both extraction methods.Water extraction method was more conducive to the extraction of Calycosin-7-O-β-D-glucopyranoside and Ononin,while alcohol extraction method was more conducive to the extraction of Astragalo-side Ⅳ,Calycosin and Ononin.CONCLUSION The content of chemical components of Astragalus membranaceus from different ori-gins is quite different,and the choice of extraction method has a significant effect on the content of active components,while the change trend of different compounds in the two extraction methods is basically the same.The established HPLC multi-component content de-termination method of Astragalus membranaceus is stable and reliable,which can provide a scientific basis for the quality control and comprehensive evaluation of Astragalus membranaceus medicinal materials.

Objective:To investigate the effect and safety of the double-cross dressing technique for composite rhytidectomy.Methods:A retrospective analysis was performed on a total of 121 patients with face and neck ageing, who were admitted to the Facial and Neck Plastic Surgery Center, the Plastic Surgery Hospital of the Chinese Academy of Medical Sciences from June 2020 to May 2023, all female with the age ranged 34-72 years old. All the patients underwent a full facial and neck composite rhytidectomy. Immediately after surgery, a double-cross bandaging was applied. The cotton pad was nested on the outer auricle, so that the front of the ear and the back of the ear were the first cross. This cross aimed to accurately pressurized the temporal, buccal region and postauricle flap. The second cross occurred at the radix. It secured composite tissue flap at the zygomatic arch and the buccal fat pad zone. Patient′s external auricle was not compressed after bandaging. The healing and the occurrence of complications were observed.Results:All the patients were satisfied with the comfort of the bandaging, the satisfied rate was 100% (121/121). All the patients had different degrees of periocular and perioral swelling 72 hours after surgery. Conjunctival edema and xanthochromia occurred in 30 patients, and oral mucosal congestion occurred in 25 patients, all of which were spontaneously resolved 2-4 weeks after surgery. Postoperative nursing was easily managed. There were no events such as dressing loosening, blocked draining tubes, and difficulty in replacing tubes. All the patients were followed up for 3-12 months after surgery, the flap in the postauricular area of all patients healed well, and there were no adverse complications such as wound infection, necrosis of the flap in the operative area, and delayed healing of the incision.Conclusion:The double-cross bandaging technique achieves the comfort bandaging and good protection of the face, which is safe and effective.

Objective To analyze the proportion and clinicopathological characteristics of HER2-positive breast cancer patients with BRCA1/2 pathogenic variants, and their response to neoadjuvant anti-HER2 targeted therapy. Methods The clinicopathological data of 531 breast cancer patients with germline BRCA1/2 pathogenic variants (201 with BRCA1 variants and 330 with BRCA2 variants) were analyzed. Results Among the 201 BRCA1 and 330 BRCA2 variants, 17 (8.5%) and 42 (12.7%) HER2-positive breast cancer cases were identified, respectively, accounting for 11.1% of all BRCA1/2-mutated breast cancers. Compared with BRCA1/2-mutated HR-positive/HER2-negative patients, HER2-positive patients did not present any significant differences in clinicopathological features; however, compared with triple-negative breast cancer patients, HER2-positive patients had a later onset age and lower tumor grade. Among the 17 patients who received neoadjuvant anti-HER2 targeted therapy, 10 cases achieved pCR (58.8%), whereas 7 cases did not (41.2%). Conclusion HER2-positive breast cancer accounts for more than 10% of BRCA1/2-mutated patients. Approximately 40% of these patients fail to achieve pCR after neoadjuvant targeted therapy. This phenomenon highlights the possibility of combining anti-HER2 targeted agents with poly (adenosine diphosphate-ribose) polymerase inhibitors.

The pharmaceutical industry faces challenges in quality digitization for complex multi-stage processes, especially in small-sample systems. Here, an intelligent quality prediction and diagnostic (IQPD) framework was developed and applied to Tong Ren Tang's Niuhuang Qingxin Pills, utilizing four years of data collected from four production units, covering the entire process from raw materials to finished products. In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. Additionally, the double ensemble strategy enhances model stability in small samples. Compared to global traditional models, PeDGAT achieves state-of-the-art results, with an average improvement of 13.18% and 87.67% in prediction accuracy and stability on three indicators. Additionally, a more in-depth diagnostic model leveraging grey correlation analysis and expert knowledge reduces reliance on large samples, offering a panoramic view of attribute relationships across units and improving process transparency. Finally, the IQPD framework integrates into a Human-Cyber-Physical system, enabling faster decision-making and real-time quality adjustments for Tong Ren Tang's Niuhuang Qingxin Pills, a product with annual sales exceeding 100 million CNY. This facilitates the transition from experience-driven to data-driven manufacturing.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.