ObjectiveThe widespread adoption of portable fundus cameras for primary care and community screening is hindered by limitations in current autofocus(AF) technologies. Image-based methods relying on sharpness evaluation require iterative searches, resulting in slow convergence, while projection-based techniques are susceptible to optical artifacts and calibration errors. To address these challenges, this study introduces a novel AF system based on direct wavefront sensing, designed to deliver simultaneous high speed, high precision, and operational robustness within the compact form factor essential for portable ophthalmic devices. MethodsOur approach fundamentally reimagines the AF process by directly measuring the ocular wavefront aberration. We developed a custom portable fundus camera integrating a miniaturized Shack-Hartmann wavefront sensor (SHWS) into the optical path. An 850 nm laser diode projects a point source onto the retina via oblique illumination to minimize corneal reflections. Light scattered from this spot carries the eye’s refractive error through the imaging optics and is directed to the SHWS, positioned at a plane optically conjugate to the primary color CMOS imaging sensor. A microlens array within the SHWS samples the incident wavefront, generating a pattern of focal spots on a CCD. Real-time centroid analysis of these spots provides a map of local wavefront slopes. These measurements are processed through a singular value decomposition (SVD) algorithm to fit a Zernike polynomial basis set, enabling real-time reconstruction of the wavefront phase. The defocus component (S) is extracted from the second-order Zernike coefficients, providing a direct, quantitative measure of the refractive error in diopters. This value serves as a precise error signal in a closed-loop control system, which commands a voice-coil actuated focusing lens to its null position in a single, deterministic step, eliminating the need for iterative search algorithms. ResultsComprehensive evaluation demonstrated the system’s high performance. Testing on a calibrated model eye (OEMI-7) established a highly linear relationship between the computed defocus S and the focusing lens position across a ±20 Diopter (D) compensation range, achievable within a 5 mm mechanical travel. The system achieved a focusing precision of 0.08 D, corresponding to an 18-fold improvement over a conventional projection spot-size method tested under identical conditions. The total focus acquisition time, encompassing wavefront measurement, computation, and lens actuation, averaged under 0.5 s. Clinical validation with 25 human volunteers (50 eyes, refractive range -15 D to +10 D) confirmed practical efficacy. The wavefront-sensing AF succeeded in 92% of attempts with a mean time of 0.5 s, substantially outperforming a projection-based benchmark which achieved only a 32% success rate with an average time of 4.25 s. The system provided instantaneous directional guidance and maintained stability during minor ocular movements. Objective assessment of image quality, via amplitude contrast of retinal vasculature, showed consistent and significant enhancement following AF correction across the entire tested diopter range. ConclusionThis work successfully implements and validates a direct wavefront-sensing autofocus paradigm for portable fundus cameras. By directly quantifying and compensating for the optical defocus aberration, this method bypasses the fundamental limitations of image-processing and projection-based techniques, enabling rapid, precise, and deterministic diopter compensation. The developed system delivers an exceptional combination of a wide operational range (±20 D), high accuracy (0.08 D), fast convergence (0.5 s), and a compact physical footprint. This technology provides a practical and high-performance focusing solution capable of enhancing the reliability, throughput, and diagnostic utility of portable retinal imaging in large-scale screening applications. Future efforts will be directed towards system cost optimization and performance adaptation for diverse ocular conditions.

Objective To explore the relationship among sleep quality, fatigue and work-related musculoskeletal disorders (WMSDs) in firefighters, and to examine the mediating effect of fatigue between sleep quality and the risk of WMSDs. Methods A total of 271 firefighters from three prefecture-level cities in Jiangsu Province were selected as the study subjects by a convenient sampling method. The Chinese Musculoskeletal Disorders Questionnaire, Pittsburgh Sleep Quality Index (PSQI), and Fatigue Scale-14 were used to assess WMSDs, sleep quality and fatigue status among the study subjects. The effect of sleep quality and fatigue on WMSDs was analyzed, as well as the mediating role of fatigue between sleep quality and the risk of WMSDs. Results The annual prevalence of WMSDs among the firefighters was 68.6%. The firefighters who had poor and very poor sleep quality accounted for 36.2% and 7.7%, respectively. There were 88.6% of firefighters reported fatigue. The total scores of PSQI and fatigue of firefighters in WMSDs group were higher than those in non-WMSDs group (all P<0.01). Binary logistic regression analysis showed that the higher the total score of PSQI, the worse the sleep quality, and the higher the risk of WMSDs in firefighters (all P<0.01). The higher the total score of fatigue, the higher the risk of WMSDs (P<0.01), and the risk of WMSDs in the fatigue group was higher than that in the non-fatigue group among the firefighters (P<0.01). The direct effect of sleep quality on WMSDs in firefighters was 0.028 [95% confidence interval (CI): 0.012-0.050, P<0.01], and its indirect effect on WMSDs mediated by fatigue was 0.027 (95%CI: 0.018-0.040, P<0.01). Fatigue played a mediating role in sleep quality and WMSDs, with the mediating ratio of 0.491 (95%CI: 0.304-0.740, P<0.01). Conclusion Poor sleep quality and fatigue are related to an increased risk of WMSDs in firefighters in a dose-response manner. Fatigue plays a mediating role between sleep quality and the risk of WMSDs.

Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

Objective:To design a set of simulation system for surgical operation based on virtual reality(VR)technique and intelligent scoring functions,so as to assess its clinical application effect.Methods:The Digital Imaging and Communications in Medicine(DICOM)images of typical patients were collected.Materialise Interactive Medical Image Control System(MIMICS)software was adopted to reconstruct the three-dimensional(3D)model of diseased organs.Surgical instrument models were constructed by using 3D Max software.Unity 3D software was adopted to construct simulation system for surgical operation with VR+intelligent scoring.A total of 40 surgical resident physicians,who were employed with 3 years since 2019 in The Second Affiliated Hospital of Kunming Medical University,were selected.They were divided into observation group and control group,with 20 cases in each group.The observation group used simulation system for surgical operation to conduct intelligent scoring for cholecystectomy under laparoscope,and the control group used conventional scoring for surgical operation.The scores of surgical operation and test between the two groups were compared.Results:The mean value of surgical operation time of the observation group was(1.72±0.41)h,and the average incidence of complication was(0.03±0.02)%,both of them of the observation group were significantly lower than those of the control group[(2.25±0.42)h and(0.05±0.03)%].The differences of them between two groups were statistically significant(t=9.00,4.08,P<0.05).The test scores of surgical operation of the observation group was also significantly higher than that of the control group(t=5.26,P<0.001).Conclusion:The developed simulation system for surgical operation with VR+intelligent scoring can significantly enhance users'surgical operation skills and improve learning outcomes,which has favorable prospects in future applications.

Colorectal cancer(CRC)is a prevalent malignancy of the digestive tract in China;it exhibits aggressive progression that is closely associated with tumor microenvironment(TME)modulation.Tumor-associated macrophages,which are pivotal immunomodulatory com-ponents of the TME,demonstrate remarkable functional heterogeneity.Among these,secreted phosphoprotein 1-positive tumor-associated macrophages(SPP1+TAMs)represent a distinct subset with well-characterized protumorigenic properties.Evidence indicates that SPP1+TAMs exhibit a unique spatial distribution pattern in CRC tissues,with pronounced enrichment at the invasive tumor front and metastatic niches.Through the secretion of SPP1 and other effector molecules,this subset orchestrates multifaceted oncogenic processes,including tumor cell adhesion,migration,angiogenesis,and metastatic dissemination.This review systematically elucidates the spatial distribution,molecular reg-ulatory mechanisms,and clinical implications of SPP1+TAMs in CRC,thereby providing a theoretical foundation for developingnovel diagnost-ic biomarkers and targeted therapeutic strategies.

Objective To investigate the value of amide proton transfer(APT)imaging in evaluating lymph-vascular space inva-sion(LVSI)of cervical cancer.Methods A retrospective analysis was conducted on the data of cervical cancer patients with patho-logically confirmed LVSI status.Based on the presence of LVSI,the patients were divided into LVSI positive group and LVSI nega-tive group.All patients underwent diffusion weighted imaging(DWI)and APT imaging before treatment,and the apparent diffusion coefficient(ADC)and APT values of the lesions were measured.An independent sample t-test was used to compare the differences in ADC and APT values between the two groups.The sensitivity,specificity and area under the curve(AUC)of ADC,APT and ADC+APT in predicting LVSI were observed by receiver operating characteristic(ROC)curve,and the diagnostic performance of the three was compared by DeLong test.Results A total of 78 patients were included,of which 54 were LVSI negative and 24 were LVSI positive.The ADC values in the LVSI positive group were significantly lower than those in the LVSI negative group(P＜0.001),while the APT values in the LVSI positive group were significantly higher than those in the LVSI negative group(P＜0.001).The sensitivities of ADC,APT and ADC+APT in predicting LVSI were 79.17％,83.33％ and 87.50％,respectively,the specificities were 75.93％,55.56％ and 77.78％,respectively,and the AUC were 0.828,0.759 and 0.868,respectively,indicating that the diag-nostic performance of ADC+APT was better than that of ADC and APT alone(P＜0.001).Conclusion APT imaging can preop-eratively predict the presence of LVSI status in cervical cancer.When combined with ADC,its diagnostic accuracy is higher than that of APT alone,providing a new approach for evaluating LVSI in cervical cancer.

Central nervous system(CNS)degenerative disorders refer to a spectrum of pathological alterations triggered by struc-tural damage to cerebral neural tissues,clinically manifested as diverse neurological dysfunction syndromes,including multiple sclerosis(MS),neurodegenerative diseases(NDs),and ische-mic stroke.The hallmark pathological features of these disorders involve irreversible neuronal damage and decompensation of functional neural networks,ultimately leading to progressive neurological deficits.Notably,with the accelerating global popu-lation aging,the incidence of these diseases has surged signifi-cantly.According to WHO statistics,they now rank among the top three global causes of disability and mortality.Current re-search has confirmed that the pathogenesis of CNS degenerative disorders exhibits high heterogeneity,encompassing multifaceted pathophysiological processes such as genetic predisposition,oxi-dative stress,protein misfolding,and metabolic dysregulation.This intricate pathogenic network not only complicates clinical differential diagnosis but also poses substantial challenges to the development of precision therapeutic strategies.Importantly,re-cent studies have revealed that mitochondrial homeostasis disrup-tion-induced inflammatory cascades(termed mitochondrial in-flammation)play a pivotal regulatory role in neurodegenerative progression.Key molecular mechanisms include impaired mito-phagy,aberrant mitochondrial DNA(mtDNA)release and NL-RP3 inflammasome activation.This review systematically deci-phers the molecular regulatory network of mitochondrial inflam-mation,with a focus on its biological effects in critical pathologi-cal events such as blood-brain barrier disruption,microglial hy-peractivation and neuronal apoptosis.The overarching aim is to provide a theoretical foundation for developing innovative thera-peutic strategies targeting mitochondrial homeostasis restoration.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Drug quality problems seriously threaten the life and health of patients,drug quality problems handling is an important part of pharmaceutical management in medical institutions,and strengthening the management of drug quality problems in medical institutions can provide a strong guarantee for drug safety of patients.This standard was compiled by the Pharmaceutical Affairs Commission of the Chinese Hospital Association,and the process included problems identification,framework development,manuscript writing,opinions gathering,expert argumentation and deliberation,and standards development.The standard regulates the basic requirements,coping strategies,quality control and continuous improvement of drug quality problems handling in medical institutions.This article elaborates on the methods and contents of formulating standards for drug quality problems handling,to pro-vide reference and inspiration for medical institutions to carry out drug quality problems handling.

China emerges as a major country in nuclear energy development and the application of nuclear and radiologic technology. The diagnosis and treatment of acute radiation syndrom (ARS) caused by external irradiation represent a core function in the country′s medical rescue of nuclear and radiological emergencies. Clinically, ARS manifests hematopoietic, gastrointestinal, cutaneous, and central nervous system syndromes, with specific clinical manifestations, signs, severity, and prognosis strongly correlated with radiation dose. China has established a number of national and provincial centers for treating radiation-induced damage. Nevertheless, most medical staff have limited experience in ARS treatment. This consensus presents a summary of recent experience in treating ARS of China. In combination with recommendations from international organizations such as the World Health Organization (WHO), this consensus proposes key evidence of critical clinical issues of ARS, covering all links in the rescue of external irradiation-induced ARS. Initially, clinical diagnosis, syndromes, and severe degrees should be determined based on clinical symptoms and dose estimates. It is necessary to normalize clinical treatment measures for hematopoietic recovery, gastrointestinal injury treatment, infection control, symptomatic treatment, and multi-organ function preservation. To this end, this consensus offers cautions. This consensus provides principles of treatment with traditional Chinese medicine, psychological intervention, and follow-up. Additionally, it highlights multidisciplinary collaboration. It is recommended that this consensus be applied in relevant treatment centers.