Background: s/Aims: Postoperative pancreatic fistulas (POPF) remain a major cause of morbidity and mortality following pancreatoduodenectomy (PD). Pancreatogastrostomy (PG) and pancreatojejunostomy (PJ) are the two most commonly used reconstruction techniques, yet evidence favoring one over the other is inconclusive. This study evaluates postoperative outcomes following open PD at a single institution that transitioned from PG to PJ as the preferred reconstruction method. Methods: This retrospective comparative study included patients who underwent PD between April 2005 and August 2022. Of 757 patients identified, 522 met the inclusion criteria. Propensity score matching (PSM) was performed to adjust for clinically relevant covariates. Primary endpoints were clinically relevant (CR) POPF (grade B/C) and Clavien–Dindo (CD) grade ≥ 3 POPFs. Secondary outcomes included post-pancreatectomy hemorrhage (PPH), delayed gastric emptying (DGE), systemic complications, length of hospital stay, and mortality. Results: Overall, CR-POPF and CD grade ≥ 3 POPFs occurred in 21.3% and 8.0% of patients, respectively. Thirty-day and in-hospital mortality rates were 3.1% and 4.2%. After PSM, 368 patients (184 PG and 184 PJ) were analyzed. Grade B POPFs were more frequent following PJ than PG (24.5% vs. 15.8%, p < 0.001). Although CR-POPF and CD grade ≥ 3 POPFs were numerically higher in the PJ group, differences were not statistically significant. In contrast, DGE, PPH, and in-hospital mortality were significantly higher following PG (37.0% vs. 25.0%, p = 0.025; 16.3% vs. 8.7%, p = 0.025; and 7.6% vs. 2.7%, p = 0.049, respectively). Conclusions PG was associated with a lower incidence of grade B POPFs but higher rates of DGE, PPH, and in-hospital mortality.

This study elucidated the structure-activity relationships (SAR) of three distinct opioid ligand series at the μ-opioid receptor (μ-OR) and investigated the ligand-dependent role of arrestin in downstream signaling. Radioligand binding assays across 13 compounds revealed that high-affinity μ-OR binding is not restricted to a single chemical scaffold. For fentanyl analogs, SAR analysis identified four key structural determinants: the N-phenethyl group (R1) is essential for μ-OR binding, the piperidine 4-position (R2) is sterically constrained and tolerates only small substituents such as carbomethoxy, the acyl side chain (R3) tolerates diverse chemical modifications including alkyl, alkoxy, and heteroaryl groups without substantial loss of affinity, and para-substitution on the phenethyl ring (R4) with electron-withdrawing groups like fluorine is well-tolerated. Analysis of non-fentanyl scaffolds (2-Methyl AP-237, W-15, and brorphine) demonstrated that specific side-chain functionalization, rather than core scaffold architecture, primarily determines binding potency. Comparison of classical opioids further revealed that structural flexibility, exemplified by methadone, can confer superior binding affinity compared to the rigid morphine scaffold. Consistent with this structural diversity, the contribution of arrestins to ERK activation varied substantially across compounds, suggesting that μ-OR-biased signaling is not dictated exclusively by intrinsic receptor properties but emerges from the interplay between receptor conformation and ligandspecific structural features. Collectively, our results provide a molecular framework for understanding opioid pharmacology with important implications for rational drug design aimed at minimizing adverse effects while maintaining analgesic efficacy.

Hemoglobin (Hb) concentration is a key clinical biomarker for diagnosing and managing anemia, ischemic stroke, perioperative blood loss, and chronic diseases such as renal failure. Traditional venous blood sampling remains the gold standard due to its high accuracy, but its invasive nature limits frequent testing, real time monitoring, and large scale screening. This has driven growing interest in non-invasive Hb detection technologies over the past decade. Among these, optical methods are the most promising because of their safety, potential for continuous monitoring, and compatibility with portable or wearable devices. This paper systematically reviews major advances in optical non invasive Hb detection from the last ten years. We focus on near-infrared spectroscopy branches—photoplethysmography (PPG) and dynamic spectrum (DS)—and also cover color analysis/RGB imaging, Raman spectroscopy, and photoacoustic spectroscopy. For each technology, we explain its detection principles, analyze advantages and limitations, and summarize optimization strategies reported in recent literature. PPG, based on pulsatile blood volume changes, underpins many commercial continuous monitors. However, its accuracy is constrained by motion artifacts, individual physiological variations (e.g., skin tone, tissue thickness), and low AC signal to noise ratio. In contrast, DS—an advanced derivative of PPG—uses a differential principle to extract absorbance changes between systolic and diastolic peaks. This theoretically eliminates interference from static tissues (skin, bone, venous blood) and common mode noise (e.g., ambient light), positioning DS as a more robust framework for high precision Hb quantification. Beyond spectral methods, color analysis/RGB imaging offers a hardware minimalist approach. By analyzing images of vascular rich, thin tissues (e.g., conjunctiva, nail beds, palms), it enables Hb estimation using smartphone cameras. Recent advances have shifted from manual RGB feature extraction to deep learning models and spectral super resolution that reconstruct hyperspectral data from RGB inputs, significantly improving screening accuracy. Our academic perspective emphasizes critical and integrative analysis. We highlight persistent challenges that hinder clinical translation: profound individual biological variability (skin optics, microvascular architecture), sensitivity to measurement conditions (pressure, ambient light), and a lack of standardized validation protocols and multi center trials. A central thesis is that no single optical method is universally superior; each involves trade offs between accuracy, complexity, cost, and practicality. Looking forward, we posit that the next performance leap will come from multimodal information fusion—combining PPG, electrocardiogram (ECG), bioimpedance, or different optical modalities to compensate for individual differences and environmental noise. AI and deep learning are essential not only for image analysis but also for automated, end to end feature extraction from complex waveforms like PPG sequences. Advancing hardware (tunable lasers, quantum dot LEDs, novel sensor designs) is crucial to improve signal fidelity and portability. Finally, we advocate for clinical scenario specific optimization and rigorous standardized evaluation frameworks to gain regulatory approval (e.g., FDA, NMPA) and achieve widespread clinical acceptance. In conclusion, this review synthesizes a decade of progress. Optical non-invasive Hb detection has evolved from proof of concept studies to emerging products and validated screening tools, but the journey toward reliable, clinic ready quantitative devices continues. The convergence of smarter algorithms, fused sensing modalities, and focused clinical validation offers the most promising path to transform this potential into routine medical practice, ultimately enabling personalized, continuous, and accessible hematological management.

Polycystic ovary syndrome（PCOS） and its resulting infertility is one of the common diseases of gynecology and reproductive endocrinology. The phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway is relatively well-studied in the development of intervention in PCOS， and the experiments on PCOS in rats conducted by traditional Chinese medicine through this signaling pathway is also the main direction of mechanistic research. In this paper， 20 articles published in academic journals in the past 5 years were selected through the corresponding criteria， and the objective situation and existing problems of the selected research projects were analyzed from five aspects， namely， baseline data， modeling and treatment， grouping， evaluative indexes， and pharmacodynamic indexes. It is found that there were different degrees of problems in each research project， such as the observation indicators of modeling， criteria for judging the success of the model， the treatment period， the calculation of dosage of prescription/active ingredients and specific dosage were not clearly defined， which could easily lead the bias of the results or reduce the validity of experimental data. Based on this， the list of PCOS rat experimental research operations was formed， involving five categories of experimental rats， model construction， study implementation， outcome measures and analysis and report with a total of 21 operation lists， with a view to provide a reference for the subsequent PCOS experiments related to scientific research and helping to form high-quality results.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

Objective:To investigate the effects of apixaban on cardiac function,serum levels of soluble suppression of tumorigenicity 2(sST2),fibroblast growth factor-23(FGF-23)and inflammatory factors in patients with atrial fibrillation(AF)and coronary artery disease(CAD).Methods:This randomized controlled study enrolled 120 pa-tients with AF and CAD who admitted Changzhou Wujin Hospital of Traditional Chinese Medicine between July 2022 and December 2023.Patients were randomly divided into control group(n=60,warfarin therapy)and inter-vention group(n=60,apixaban therapy).Each group received corresponding medication based on routine therapy for 8 weeks.Cardiac function indicators,levels of serum sST2,FGF-23,inflammatory factors,myocardial fibrosis indicators,and incidence of adverse reactions were compared between the two groups.Results:Compared to those in the control group,participants in the intervention group had significantly higher left ventricular ejection fraction(LVEF)[(52.22±3.69)％vs.(48.37±4.14)％]and 6-minute walking distance(6MWD)[(456.29±56.47)m vs.(415.25±11.32)m](P＜0.001 all),and significantly lower left ventricular end-diastolic diameter(LVEDd)[(44.98±4.55)mm vs.(50.26±3.61)mm],levels of N-terminal pro B-type natriuretic peptide(NT-proB-NP)[(341.16±29.51)pg/ml vs.(392.33±32.27)pg/ml],cardiac troponin I(cTnI)[(3.76±1.12)ng/ml vs.(5.22±1.36)ng/ml],creatine kinase isoenzyme-MB(CK-MB)[(25.71±6.51)U/L vs.(39.13±6.33)U/L],high sensitive C-reactive protein(hsCRP)[(1.63±0.51)mg/L vs.(1.98±0.46)mg/L],tumor necrosis fac-tor-alpha(TNF-α)[(27.17±5.11)ng/Lvs.(34.19±5.32)ng/L],sST2[(52.11±5.87)μg/L vs.(62.37±5.82)μg/L]and FGF-23[(45.73±4.29)μg/L vs.(56.09±5.25)μg/L](P＜0.001 all).We detected signifi-cant lower incidence of adverse reactions in intervention group compared to control group(6.9％vs.26.3％,P=0.005).Conclusion:Apixaban could alleviate myocardial fibrosis,improve cardiac function,and reduce levels of heart failure biomarkers and inflammatory factors in patients with coronary artery disease and atrial fibrillation.

Objective To develop and validate a fast Monte Carlo(MC)-based patient-specific quality assurance(PSQA)tool using the treatment log files that is suitable to be used in the online adaptive radiotherapy for pencil beam scanning proton therapy(PBSPT-ART).Methods The proposed tool first used the delivery log file of a PBSPT plan to reversely reconstruct the PBSPT(rPBSPT)plan,and then used an in-house developed graphic processing unit(GPU)-accelerated virtual particle MC(VPMC)dose engine to calculate the dose distribution of the rPBSPT plan.The rPBSPT dose calculated by VPMC was then compared to the rPBSPT dose calculated by another independent MC dose engine(MCsquare),using 3D gamma analysis to verify the accuracy of VPMC calculation.As a demonstration of the feasibility of developed log file-based PSQA,the VPMC calculated dose of the rPBSPT plan was compared to the pre-delivery second check dose of the corresponding PBSPT plan calculated by MCsquare,using 3D gamma analysis.3D gamma analysis employes a criterion of 2 mm/2%/10%.Twenty patients with different disease sites were representatively selected to validate the efficiency and accuracy of the tool.Results The average calculation time of a rPBSPT plan by VPMC was(5.88±4.00)s in the accuracy verification.Compared to MCsquare,the passing rate of the 3D gamma analysis was 99.47%±0.72%.In the proposed PSQA tool demonstration,the passing rate of comparing the VPMC calculated rPBSPT dose to MCsquare calculated second check dose of the corresponding PBSPT plan was 98.91%±0.92%.Conclusion The accuracy and efficiency of the tool can meet the requirements of PSQA in the online PBSPT-ART workflow.

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.

Objective To explore the application effect of enhanced recovery after surgery(ERAS)strategy in secondary cesarean delivery.Methods A total of 90 puerperae who underwent elective secondary cesarean delivery in our hospital were enrolled and randomly divided into the observation group and the control group,with 45 cases in each group.Puerperae in the observation group adopted ERAS management,and puerperae in the control group adopted routine management.The postoperative recovery indicators,clinical outcome indicators,scores of self-rating anxiety scale(SAS),self-rating depression scale(SDS),and Kolcaba general comfort questionnaire(GCQ)of puerperae between the two groups were compared.Results The obstetric quality of recovery-11(ObsQoR-11)score 24 hours after surgery of puerperae in the observation group was higher than that in the control group(P<0.05),the recovery time of postoperative bowel sounds and first defecating time were shorter than those in the control group(P<0.05),the height of uterine fundus 72 hours after surgery was lower than that in the control group(P<0.05),the incidences of moderate to severe pain at rest and during cough were lower than those in the control group(P<0.05).There was no statistically significant difference in the incidence of neonatal transfer to the intensive care unit or the incidence of jaundice between the two groups(P>0.05);while the incidences of intraoperative hypotension,nausea and vomiting,chills,and postoperative abdominal distension,nausea and vomiting of puerperae in the observation group were lower than those in the control group(P<0.05),postoperative vaginal bleeding volume within 24 hours was less than that in the control group(P<0.05).After intervention,the SAS,SDS and GCQ scores of puerperae in both groups were lower than those before intervention(P<0.05),and the SAS and SDS scores of puerperae in the observation group were lower than those in the control group(P<0.05),the GCQ score was higher than that in the control group(P<0.05).Conclusion ERAS strategy used for secondary cesarean delivery can improve clinical outcomes and psychological state of puerperae,increase comfort level,and promote postoperative recovery.

Objective:To investigate the effects of apixaban on cardiac function,serum levels of soluble suppression of tumorigenicity 2(sST2),fibroblast growth factor-23(FGF-23)and inflammatory factors in patients with atrial fibrillation(AF)and coronary artery disease(CAD).Methods:This randomized controlled study enrolled 120 pa-tients with AF and CAD who admitted Changzhou Wujin Hospital of Traditional Chinese Medicine between July 2022 and December 2023.Patients were randomly divided into control group(n=60,warfarin therapy)and inter-vention group(n=60,apixaban therapy).Each group received corresponding medication based on routine therapy for 8 weeks.Cardiac function indicators,levels of serum sST2,FGF-23,inflammatory factors,myocardial fibrosis indicators,and incidence of adverse reactions were compared between the two groups.Results:Compared to those in the control group,participants in the intervention group had significantly higher left ventricular ejection fraction(LVEF)[(52.22±3.69)％vs.(48.37±4.14)％]and 6-minute walking distance(6MWD)[(456.29±56.47)m vs.(415.25±11.32)m](P＜0.001 all),and significantly lower left ventricular end-diastolic diameter(LVEDd)[(44.98±4.55)mm vs.(50.26±3.61)mm],levels of N-terminal pro B-type natriuretic peptide(NT-proB-NP)[(341.16±29.51)pg/ml vs.(392.33±32.27)pg/ml],cardiac troponin I(cTnI)[(3.76±1.12)ng/ml vs.(5.22±1.36)ng/ml],creatine kinase isoenzyme-MB(CK-MB)[(25.71±6.51)U/L vs.(39.13±6.33)U/L],high sensitive C-reactive protein(hsCRP)[(1.63±0.51)mg/L vs.(1.98±0.46)mg/L],tumor necrosis fac-tor-alpha(TNF-α)[(27.17±5.11)ng/Lvs.(34.19±5.32)ng/L],sST2[(52.11±5.87)μg/L vs.(62.37±5.82)μg/L]and FGF-23[(45.73±4.29)μg/L vs.(56.09±5.25)μg/L](P＜0.001 all).We detected signifi-cant lower incidence of adverse reactions in intervention group compared to control group(6.9％vs.26.3％,P=0.005).Conclusion:Apixaban could alleviate myocardial fibrosis,improve cardiac function,and reduce levels of heart failure biomarkers and inflammatory factors in patients with coronary artery disease and atrial fibrillation.