Clinical pharmacist teacher training is an important mean to improve the quality of clinical pharmacy talent cultivation and ensure the service ability and level of the clinical pharmacist team.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-2:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Teacher Training was based on the newly revised management document for clinical pharmacist teacher training of the Chinese Hospital Association.After sorting out relevant materials,such as standards,policies and regulations,technical specifications,liter-ature,documents of the Chinese Hospital Association,expert opinions,and the current situation of clinical pharmacist teacher training in China,the standard was formulated.In the standard,12 key elements,which can be divided into 3 parts of base manage-ment,training process and assessment,quality management and evaluation improvement,were standardized.This article aimed to introduce the construction method and content of the standard,to facilitate the understanding of the standard content for medical institutions which joined or willing to join the clinical pharmacist teacher training base,and to provide a reference for other medi-cal institutions to carry out related work.

T7 RNA polymerase (T7 RNAP) is one of the simplest known RNA polymerases. Its unique structural features make it a critical model for studying the mechanisms of RNA synthesis. This review systematically examines the static crystal structure of T7 RNAP, beginning with an in-depth examination of its characteristic “thumb”, “palm”, and “finger” domains, which form the classic “right-hand-like” architecture. By detailing these structural elements, this review establishes a foundation for understanding the overall organization of T7 RNAP. This review systematically maps the functional roles of secondary structural elements and their subdomains in transcriptional catalysis, progressively elucidating the fundamental relationships between structure and function. Further, the intrinsic flexibility of T7 RNAP and its applications in research are also discussed. Additionally, the review presents the structural diagrams of the enzyme at different stages of the transcription process, and through these diagrams, it provides a detailed description of the complete transcription process of T7 RNAP. By integrating structural dynamics and kinetics analyses, the review constructs a comprehensive framework that bridges static structure to dynamic processes. Despite its advantages, T7 RNAP has a notable limitation: it generates double-stranded RNA (dsRNA) as a byproduct. The presence of dsRNA not only compromises the purity of mRNA products but also elicits nonspecific immune responses, which pose significant challenges for biotechnological and therapeutic applications. The review provides a detailed exploration of the mechanisms underlying dsRNA formation during T7 RNAP catalysis, reviews current strategies to mitigate this issue, and highlights recent progress in the field. A key focus is the semi-rational design of T7 RNAP mutants engineered to minimize dsRNA generation and enhance catalytic performance. Beyond its role in transcription, T7 RNAP exhibits rapid development and extensive application in fields, including gene editing, biosensing, and mRNA vaccines. This review systematically examines the structure-function relationships of T7 RNAP, elucidates the mechanisms of dsRNA formation, and discusses engineering strategies to optimize its performance. It further explores the engineering optimization and functional expansion of T7 RNAP. Furthermore, this review also addresses the pressing issues that currently need resolution, discusses the major challenges in the practical application of T7 RNAP, and provides an outlook on potential future research directions. In summary, this review provides a comprehensive analysis of T7 RNAP, ranging from its structural architecture to cutting-edge applications. We systematically examine: (1) the characteristic right-hand domains (thumb, palm, fingers) that define its minimalistic structure; (2) the structure-function relationships underlying transcriptional catalysis; and (3) the dynamic transitions during the complete transcription cycle. While highlighting T7 RNAP’s versatility in gene editing, biosensing, and mRNA vaccine production, we critically address its major limitation—dsRNA byproduct formation—and evaluate engineering solutions including semi-rationally designed mutants. By synthesizing current knowledge and identifying key challenges, this work aims to provide novel insights for the development and application of T7 RNAP and to foster further thought and progress in related fields.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

AIM To establish the quantitative models for gallic acid,mononucleoside,loganin,resveratrol,and rhein in Yishen Xiezhuo Mixture.METHODS HPLC was adopted in the content determination of various effective components,after which the near-infrared spectroscopy(NIRS)data were collected in 128 batches of samples and pretreatment was conducted,competitive adaptive reweighting sampling(CARS)algorithm was used for screening wavelength,partial least square method(PLS)regression analysis was performed.RESULTS There were no significant differences between the predicted values obtained by PLS models and measured values obtained by HPLC for various effective components(P＞0.05).CONCLUSION The quantitative models established by NIRS combined with chemometrics display good predictive performance,which can be used for the rapid determination of effective components in Yishen Xiezhuo Mixture,and provide a reference for the rapid monitoring of other traditional Chinese medicine preparations in production processes.

Clinical pharmacist teacher training is an important mean to improve the quality of clinical pharmacy talent cultivation and ensure the service ability and level of the clinical pharmacist team.The Pharmacy Administration and Pharmacy Practice in Healthcare Institutions-Part 4-8-2:Pharmacy Administration-Pharmacy Training Management-Clinical Pharmacist Teacher Training was based on the newly revised management document for clinical pharmacist teacher training of the Chinese Hospital Association.After sorting out relevant materials,such as standards,policies and regulations,technical specifications,liter-ature,documents of the Chinese Hospital Association,expert opinions,and the current situation of clinical pharmacist teacher training in China,the standard was formulated.In the standard,12 key elements,which can be divided into 3 parts of base manage-ment,training process and assessment,quality management and evaluation improvement,were standardized.This article aimed to introduce the construction method and content of the standard,to facilitate the understanding of the standard content for medical institutions which joined or willing to join the clinical pharmacist teacher training base,and to provide a reference for other medi-cal institutions to carry out related work.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Digital intraoral scanning is a hot topic in the field of oral digital technology.In recent years,digital intra-oral scanning has gradually become the mainstream technology in orthodontics,prosthodontics,and implant dentistry.The precision of digital intraoral scanning and the accuracy and stitching of data collection are the keys to the success of the impression.However,the operators are less familiar with the intraoral scanning characteristics,imaging process-ing,operator scanning method,oral tissue specificity of the scanned object,and restoration design.Thus far,no unified standard and consensus on digital intraoral scanning technology has been achieved at home or abroad.To deal with the problems encountered in oral scanning and improve the quality of digital scanning,we collected common expert opin-ions and sought to expound the causes of scanning errors and countermeasures by summarizing the existing evidence.We also describe the scanning strategies under different oral impression requirements.The expert consensus is that due to various factors affecting the accuracy of digital intraoral scanning and the reproducibility of scanned images,adopting the correct scanning trajectory can shorten clinical operation time and improve scanning accuracy.The scanning trajec-tories mainly include the E-shaped,segmented,and S-shaped methods.When performing fixed denture restoration,it is recommended to first scan the abutment and adjacent teeth.When performing fixed denture restoration,it is recommend-ed to scan the abutment and adjacent teeth first.Then the cavity in the abutment area is excavated.Lastly,the cavity gap was scanned after completing the abutment preparation.This method not only meets clinical needs but also achieves the most reliable accuracy.When performing full denture restoration in edentulous jaws,setting markers on the mucosal tissue at the bottom of the alveolar ridge,simultaneously capturing images of the vestibular area,using different types of scanning paths such as Z-shaped,S-shaped,buccal-palatal and palatal-buccal pathways,segmented scanning of dental arches,and other strategies can reduce scanning errors and improve image stitching and overlap.For implant restora-tion,when a single crown restoration is supported by implants and a small span upper structure restoration,it is recom-mended to first pre-scan the required dental arch.Then the cavity in the abutment area is excavated.Lastly,scanning the cavity gap after installing the implant scanning rod.When repairing a bone level implant crown,an improved indi-rect scanning method can be used.The scanning process includes three steps:First,the temporary restoration,adjacent teeth,and gingival tissue in the mouth are scanned;second,the entire dental arch is scanned after installing a standard scanning rod on the implant;and third,the temporary restoration outside the mouth is scanned to obtain the three-di-mensional shape of the gingival contour of the implant neck,thereby increasing the stability of soft tissue scanning around the implant and improving scanning restoration.For dental implant fixed bridge repair with missing teeth,the mobility of the mucosa increases the difficulty of scanning,making it difficult for scanners to distinguish scanning rods of the same shape and size,which can easily cause image stacking errors.Higher accuracy of digital implant impres-sions can be achieved by changing the geometric shape of the scanning rods to change the optical curvature radius.The consensus confirms that as the range of scanned dental arches and the number of data concatenations increases,the scanning accuracy decreases accordingly,especially when performing full mouth implant restoration impressions.The difficulty of image stitching processing can easily be increased by the presence of unstable and uneven mucosal mor-phology inside the mouth and the lack of relatively obvious and fixed reference objects,which results in insufficient ac-curacy.When designing restorations of this type,it is advisable to carefully choose digital intraoral scanning methods to obtain model data.It is not recommended to use digital impressions when there are more than five missing teeth.

Objective:To introduce a surgical technique of " short distances and multi-segment" buried-guiding suture method and its effects in the surgery of early descent of prosthesis after augmentation mammaplasty.Methods:From August 2019 to January 2022, 15 cases of early descent of prosthesis after augmentation mammaplasty due to axillary approach breast augmentation for micromastia were admitted to the Plastic Surgery Department of Sichuan Provincial People′s Hospital, aged 23-35 years (27.3±3.6) and duration of dislocation from 16 to 35 days (23.8±5.8). There were 12 patients showed unilateral prosthesis drops and 3 patients showed bilateral prosthesis drops. " Short distances and multi-segment" buried-guiding suture method was used to solve the problem, i. e., 2-0 non-absorbable sutures were used to eliminate the lower pole of prosthetic cavity with " short distances and multi-segment" sutures. The distance from the nipple to the midline of the sternum, the distance from the sternotomy to the nipple, the distance from the nipple to the inframammary fold and the distance from the midclavicular point to the inframammary fold were measured bilaterally before and after surgery, and statistical analysis was performed to evaluate the efficacy of the " short distances and multi-segment" buried-guiding suture method for early descent of prosthesis after breast augmentation.Results:All incisions healed by first intention without complications such as hematoma, infection, or scar hyperplasia. 15 patients were followed up for 6-12 months (8.0±1.9). 14 patients were satisfied with the results after surgery, and 1 patient received satisfactory results after secondary surgery. The distance from nipple to inframammary fold was shortened by 0.8-1.4 cm after surgery (1.2±0.2), and the distance from mid-clavicle to inframammary fold was shortened by 1.0-1.6 cm (1.3±0.4), and the differences were statistically significant as compared with the values before surgery ( t=31.17, P<0.05; t=33.78, P<0.05). After surgery, the change in the distance from nipple to sternal was 0.1-0.3 cm (0.16±0.10), and the change in the distance from sternal notch to nipple was 0-0.2 cm (0.12±0.10), and the differences were not statistically significant ( P>0.05). Conclusions:With the advantages of simple operation, little trauma and no additional incision, the " short distance and multi-stage" buried-guiding suture method in the surgery of early descent of prosthesis after augmentation mammaplasty is worthy of clinical application.

The paper is to establish an UPLC-MS/MS method for the simultaneous determination of 19 components in Microctis Folium from different production areas. The 50% methanol was used as extraction solvent. The Agilent ZORBAX SB C18 (150 mm × 2.1 mm, 1.8 μm) column was used; mobile phase was acetonitrile - 0.1% acetic acid with gradient elution, flow rate was 0.3 mL·min^-1, colume temperature was 30 ℃, and the injection volume was 2 μL; electrospray ionizaton source was used and detected in negative ion mode. The results showed that the established UPLC-MS/MS method could well separate the 19 components, and the methodological investigation results of 19 components were good. By means of orthogonal partial least squares discriminant analysis (OPLS-DA), 28 batches of Microctis Folium samples from different production areas can be divided into three categories, Guangdong, Guangxi and Hainan are each classified into one category, and 10 signature compounds which affecting the quality differences of different production areas were screened out. The established method is accurate, reliable, sensitive and reproducible. It can provide a basis for the establishment of the quality standard of Microctis Folium, as well as for safety and quality research.