Armeniacae Semen Amarum， the dried mature seeds of plants such as Prunus armeniaca var. ansu （Rosaceae）， have a long history for medicinal use. Modern research indicates that the core active compounds of Armeniacae Semen Amarum， such as amygdalin， fatty acids， and volatile oils， exhibit multiple pharmacological effects including antitussive， bronchodilatory， anti-inflammatory， antioxidant， antitumor， antifibrotic， and immunomodulatory effects. Consequently， their potential applications in treating respiratory diseases， tumors， tissue injury， and metabolic disorders have garnered significant attention. However， a systematic integrated analysis of the relationship between the traditional efficacy， modern pharmacology， key material basis， and multi-pathway mechanisms of Armeniacae Semen Amarum remains lacking. Using bibliometric methods combined with CiteSpace visualization technology， this study systematically summarizes the research hotspots on Armeniacae Semen Amarum and its representative component amygdalin， including the key roles in inflammation regulation， apoptosis induction， cell cycle arrest， oxidative stress balance， and fibrosis modulation. This article reviews the research progress in Armeniacae Semen Amarum across from four major dimensions—traditional applications， visualization analysis， material basis， and modern pharmacological studies， providing a reference for the further basic and clinical studies of Armeniacae Semen Amarum in respiratory diseases， oncology， and immune-related disorders.

Arsenic (organoarsenic) compound is one of the oldest drugs used by humans to treat various diseases. From its initial application in treating various skin diseases to the 1970s when arsenic trioxide (ATO) was proven to be able to significantly relieve acute promyelocytic leukemia (APL), arsenic (organoarsenic) compounds gradually occupied an important position in the history of medical development. This article reviews the pharmaceutical research progress of inorganic arsenic compounds and organic arsine compounds, covering anticancer, antiparasitic, antiviral and antibiotic aspects. It further explores the potential for developing new arsenic (organoarsenic) drugs with higher efficacy and lower toxicity, aiming to provide new research directions and ideas for the application of arsenic (organoarsenic) compounds in disease treatment.

Achieving precise restoration of tooth function and personalized restoration of natural tooth esthetics has always been a significant challenge in direct restorative dentistry. The traditional direct restorative techniques are limited by the subjective operations of dentists, resulting in high technical sensitivity, long operation time, and unpredictable restoration results, making it difficult to meet patients' personalized demands for restoration outcomes. An innovative flowable resin injection technique was introduced in this study. By combining digital design with personalized restoration guides, this technique achieves precise and personalized tooth restoration, thus revolutionizing the traditio-nal paradigm of direct tooth restoration. Specifically, this technique is guided by the patient's subjective aesthetic needs. It utilizes digital technology to pre-design the restoration result and creates a personalized restoration guide. During clinical operation, the dentist needs to only precisely inject the flowable resin into the guide, allowing for rapid completion of the restoration, thereby significantly reducing the operation time and improving the precision and predictability of the restoration. The perfect combination of digital design and flowable resin injection not only significantly improves the precision and predictability of direct tooth restoration but also remarkably shortens the clinical operation time and reduces the requirements for the dentist's technical level, making it widely applicable to the restoration of various tooth defects. Thus, it improves patient satisfaction and reduces the workload of dentists. This innovative restoration technique is expected to become a new productive force in future clinical direct adhesive restorations.
Humans ; Dental Restoration, Permanent/methods* ; Esthetics, Dental ; Composite Resins ; Computer-Aided Design ; Injections

Objective:To explore the feasibility of automatic target volume tracing in the Elekta Unity magnetic resonance imaging (MRI)-guided radiotherapy system and to further enhance the real-time target volume tracing performance of MRI-guided radiotherapy by introducing the deep learning technology based on a large Transformer model.Methods:A total of 4 661 frames of cine MRI binary images from 75 patients with malignant tumors in the chest/abdomen who were treated with MRI-guided radiotherapy were retrospectively collected as a training set. Another 500 frames of cine MRI binary images from 10 patients were collected as an independent test set. A module for medical image format conversion was developed to convert binary images into medical meta-images. The outer contours of tumor target volumes in the cine MRI images of the test set were manually delineated as actual control labels. With the first frame of the cine MRI images of each patient as the reference image and the other frames as motion images, a Transformer-based deep learning model was constructed to describe the deformable vector field (DVF) of motion images relative to the reference image. The Dice similarity coefficient (DSC), the 95% Hausdorff distance (HD 95), the negative Jacobian determinant (NegJ), and the average processing time per frame of cine MRI images were calculated. These values were compared to those of the conventional B-Spline scheme to quantitatively assess the target volume tracing accuracy, DVF physical plausibility, and execution efficiency of the Transformer-based deep learning model. Results:The Transformer-based deep learning model constructed in this study delivered superior target volume tracing performance, with improved DSC [(0.84 ± 0.05) vs. (0.74 ± 0.16), t = 11.44, P < 0.05] and HD 95 [(9.25 ± 2.98) vs. (14.70 ± 8.55) mm, t = -11.83, P < 0.05]. Furthermore, this model reduced the average image processing time from 1.95 s to 30.99 ms, enhancing the efficiency by two orders of magnitude. Besides, this model yielded NegJ similar to that of the B-Spline scheme. This suggests that the DVF extracted using this model had comparable physical plausibility with that obtained using the B-Spline scheme. Conclusions:The Transformer-based deep learning model for automatic target volume tracing fills the functional gap of the Elekta Unity MRI-guided radiotherapy system, facilitating relatively accurate, efficient automatic tracing of moving tumor targets in the chest and abdomen.

Arsenic (organoarsenic) compound is one of the oldest drugs used by humans to treat various diseases. From its initial application in treating various skin diseases to the 1970s when arsenic trioxide (ATO) was proven to be able to significantly relieve acute promyelocytic leukemia (APL), arsenic (organoarsenic) compounds gradually occupied an important position in the history of medical development. This article reviews the pharmaceutical research progress of inorganic arsenic compounds and organic arsine compounds, covering anticancer, antiparasitic, antiviral and antibiotic aspects. It further explores the potential for developing new arsenic (organoarsenic) drugs with higher efficacy and lower toxicity, aiming to provide new research directions and ideas for the application of arsenic (organoarsenic) compounds in disease treatment.

Objective To develop a risk management system for complications associated with peripheral venous indwelling needles and to evaluate its application effect in order to reduce the risk of related complications.Methods We designed a comprehensive risk management system for peripheral intravenous indwelling needle complications,integrating specialized evidence-based guidelines with clinical practice insights,including 5 modules:intelligent assessment and decision support,intelligent inspection reminders,educational modules,collaborative case management procedures,and a knowledge base.Patients admitted to the neurology and internal classification metabolism departments of a tertiary hospital in Jilin Province were conveniently selected as the research subjects.Patients were assigned to a control group(from May to July 2022,before the implementation of the system)and an experimental group(from September to December 2022,after the implementation of the system).The incidence of complications,duration of indwelling needle,compliance rate of core indicators for nursing quality and number of nursing consultations were compared between the groups.Additionally,a self-administered questionnaire was used to assess clinical nurses'evaluations of the system.Results A total of 189 patients were included in the experimental group and 177 patients in the control group.The incidence of complications associated with peripheral intravenous indwelling needles was lower than that in the control group.The duration of indwelling peripheral intravenous needles was longer than that in the control group.The quality compliance rate of peripheral venous indwelling needle care in the experimental group was higher than that in the control group,and the number of consultation cases in the experimental group was higher than that in the control group.Comparisons between the 2 groups showed statistically significant differences for all indicators(P＜0.05).The nurses'recognition rates for the system's user-friendliness,professional guidance,and patient benefit were 77.78％,81.74％,and 82.13％,respectively.Conclusion The application of a peripheral vein indwelling needle complication risk management system can reduce the incidence of complications,prolong the duration of indwelling,and improve nursing quality.Nurses have a high recognition of this system.

Objective To explore the mechanism of Jiawei Jisheng Shenqi Decoction in improving the hypoxic microenvironment and antagonizing liver cirrhosis.Methods In vivo experiments were conducted using a rat model of carbon tetrachloride(CCL4)-induced liver cirrhosis.Rats were divided into normal,model,colchicine,JWJSSQ low-dose,JWJSSQ medium-dose,and JWJSSQ high-dose group.Pathological changes in liver tissues in each group were examined by hematoxylin and eosin(HE)and Masson staining,changes in serum liver function were detected using test kits,levels of hyaluronic acid(HA),laminin(LN),procollagen Ⅲ(PC Ⅲ),and collagen typeⅣ(COL4)were detected by enzyme-linked immunosorbent assay(ELISA),and protein expression levels of hypoxia-inducible factor-1α(HIF-1α),Notch1,Jagged1,and α-smooth muscle actin(α-SMA)were detected by Western blot.In vitro experiments were conducted in HSC-T6 cells,and the optimal concentration of CoCl2(100 μ mol/L,200μmol/L,400 μmol/L,600 μmol/L and 800 μmol/L)in the cultured cells and the optimal concentration of drug-containing serum(5％,10％,15％,20％)were determined by Cell Counting Kit-8(CCK-8)assay.The migration ability of cells in each group was detected by scratch testing,and changes in the apoptosis rates were determined by flow cytometry.Protein expression levels of HIF-1α,Notch1,Jagged1,α-SMA,matrix metallopeptidase 9(MMP9),and tissue inhibitor of metalloproteinases 1(TIMP-1)were detected by Western blot.Results In the in vivo experiments,liver swelling,inflammatory cell infiltration,collagen deposition,and the appearance of pseudolobules were significantly increased in the model group compared with those in the normal group.Serum levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),HA,LN,PCⅢ,and COL4 were significantly increased and albumin(ALB)was significantly decreased in the model group,while liver levels of HIF-1α,Notch1,Jagged1,and α-SMA proteins were significantly increased(P＜0.01).Liver swelling,inflammatory cell infiltration,and collagen deposition were significantly reduced in each treatment group compared with those in the model group,and the degree of fibrosis was reduced.Serum ALT,AST,HA,LN,PCⅢ,and COL4 were significantly decreased and ALB was significantly increased,while liver levels of HIF-1α,Notch1,Jagged1,and α-SMA proteins were also significantly decreased to varying degrees(P＜0.05).In the in vitro experiments,hypoxia promoted HSC-T6 migration and reduced apoptosis,increased the protein expression levels of HIF-1α,Notch1,Jagged1,α-SMA,and TIMP-1,and reduced the expression levels of MMP9(P＜0.01).Serum containing Jiawei Jisheng Shenqi Decoction inhibited HSC-T6 migration,promoted HSC-T6 apoptosis,lowered the expression of HIF-1α,Notch1,Jagged1,α-SMA,and TIMP-1 proteins,and enhanced the expression of MMP9 protein(P＜0.01).The inhibitory effect of Jiawei Jisheng Shenqi on HSC-T6 cell activation was reversed by the HIF-1α agonist dimethyloxalylglycine.Conclusions Jiawei Jisheng Shenqi Decoction can improve the hypoxic microenvironment via the HIF-1α/Notch pathway,thereby exerting an anti-liver cirrhosis effect.

The adrenal gland is a crucial endocrine organ, and adrenal tumors, mostly benign, often require surgical treatment. However, intraoperative localization of the adrenal gland is challenging due to its anatomical features. Laparoscopic surgery is widely used, but current laparoscopes lack real - time adrenal navigation. Near-infrared autofluorescence imaging (NIRAF) is a non-invasive technology that shows potential in adrenal localization, with limited reports globally and none in China. A 37-year-old female with a left adrenal nodule underwent retroperitoneoscopic left adrenal tumor resection. NIRAF technology, combined with laparoscopy, was used. The equipment had white light and near-infrared light modes.In the near-infrared light mode, the adrenal gland's autofluorescence was detected for intraoperative identification. Intraoperative NIRAF laparoscopy showed high-intensity fluorescence of the left adrenal tissue, clearly differentiating it from surrounding tissues.The surgery was completed within one hour without damage to surrounding organs. Postoperative monitoring of indicators such as blood pressure, aldosterone, adrenocorticotropic hormone, and white blood cell count was carried out. NIRAF technology has advantages in adrenal tumor resection, like improving surgical efficiency, reducing tissue manipulation, and lowering bleeding and infection risks. However, it has limitations such as weak light penetration and limited research. Further studies are needed to clarify its autofluorescence mechanism and evaluate its long-term effects.

Objective:To understand the status and influencing factors of social isolation in elderly individuals with chronic diseases.Methods:A multi-stage sampling method was used to select elderly individuals from eight communities or villages in Hefei from July to September 2022. The study employed a general information survey, the Lubben Social Network Scale (LSNS-6) , the Geriatric Depression Scale (GDS-15) , the Social Support Rating Scale (SSRS) , and the Personal Social Capital Scale 16 (PSCS-16) . Binary Logistic regression analysis was used to explore the factors influencing social isolation in elderly individuals with chronic diseases.Results:A total of 1 133 elderly individuals were surveyed, among which 538 had chronic diseases. Among the 538 elderly individuals with chronic diseases, 209 were socially isolated, resulting in a social isolation rate of 38.8%. Binary Logistic regression analysis revealed that living area, fear of falling, depression, social capital, and social support were significant factors influencing social isolation ( P<0.05) . Conclusions:The social isolation rate among elderly individuals with chronic diseases is high. Special attention should be given to elderly individuals living in rural areas, those who fear falling, and those experiencing depression. Additionally, improving social capital and social support can help alleviate social isolation in these elderly individuals.

Objective:To optimize the smart follow-up workflow for day-case breast surgery patients using an action research approach and evaluate its effectiveness.Methods:A total of 648 post-discharge patients who underwent day-case breast surgery at the Day Surgery Unit of Peking Union Medical College Hospital, Chinese Academy of Medical Sciences between February and May 2024 were selected by convenience sampling. Patients who received routine smart follow-up (automated+telephone) from February to March 2024 served as the baseline group. Patients enrolled in April 2024 ( n=218) and May 2024 ( n=202) formed the first and second cycle groups, respectively, in which the smart follow-up workflow was optimized iteratively using action research. Outcome indicators included automated recovery rate and total recovery rate of follow-up forms, as well as the incidence of postoperative discomfort symptoms. Results:The automated and total recovery rates of follow-up forms in the first and second cycle groups were significantly higher than those in the baseline group, with statistically significant differences observed ( P<0.01). The proportion of patients experiencing persistent chest distress was significantly lower in the first and second cycle groups compared to the baseline group, and further reduced in the second cycle group compared to the first, with statistically significant differences observed ( P<0.01). Pain levels in the first and second cycle groups were also significantly lower than those in the baseline group, with statistically significant differences observed ( P<0.01) . Conclusions:Optimizing the smart follow-up workflow for day-case breast surgery patients based on an action research approach can significantly improve the automated and overall recovery rates of follow-up forms, reduce postoperative discomfort, and enhance both the efficiency and quality of follow-up care.