ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Owing to its inherent advantages—such as being non-destructive, rapid, highly molecule-specific, and minimally interfered with by moisture—Raman spectroscopy has been widely adopted in the fields of skin barrier function assessment, monitoring the transdermal penetration of active cosmetic ingredients, and the identification and quality control of cosmetic products. Despite these strengths, the practical application of this technique faces a significant bottleneck: the strong fluorescence background generated by endogenous skin components and exogenous cosmetic additives. Endogenous skin substances, such as structural proteins (e.g., collagen and elastin), metabolic coenzymes (e.g., nicotinamide adenine dinucleotide), and pigments (e.g., melanin), together with exogenous cosmetic constituents like organic colorants, chemical sunscreens, and fragrances, often possess strong absorption and emission characteristics. When excited by lasers, these components produce a fluorescence background that can be 10⁶ to 10⁸ times stronger than the Raman scattering signals, effectively masking the inherently weak vibrational fingerprint information. In recent years, driven by the rapid development of optoelectronic hardware and artificial intelligence algorithms, fluorescence suppression strategies have evolved from isolated, single-method approaches into comprehensive, multi-level synergistic systems. These systems are categorized into three distinct tiers: sample preparation, signal acquisition, and data processing. At the sample preparation level, techniques such as photobleaching and surface-enhanced Raman spectroscopy (SERS) are employed to eliminate or bypass the generation of fluorescence at the source. At the signal acquisition level, instrumental improvements—including the use of long-wavelength near-infrared excitation (typically 785 nm or 1 064 nm), confocal spatial filtering, and shifted excitation Raman difference spectroscopy (SERDS)— are utilized to physically isolate Raman signals from the fluorescence background. Furthermore, at the data processing level, numerical baseline correction methods such as polynomial fitting, penalized least squares (e.g., airPLS, arPLS), wavelet transform, and derivative algorithms are increasingly integrated into the analytical pipeline to extract Raman spectral features from mixed signals without increasing hardware costs or acquisition time. This review provides a systematic categorization and critical evaluation of these fluorescence suppression methods, detailing their underlying principles, technical advantages, and inherent limitations in diverse experimental setups. By focusing on critical application scenarios—including skin barrier assessment, percutaneous absorption monitoring, the routine quality control of cosmetics, and the emerging field of portable on-site detection—this paper explores the current state of technique selection and optimization. Finally, the article discusses future development trends, emphasizing the necessity of constructing adaptive, tiered suppression strategies, developing intelligent and automated data processing algorithms, and promoting the integration of portable, multi-modal diagnostic devices. The objective of this review is to provide a comprehensive technical reference to facilitate the transition of Raman spectroscopy from a specialized laboratory tool into a routine, robust analytical platform for advancements in skin science and cosmetic research.

[摘 要] 目的：回顾性分析树突状细胞-细胞因子诱导的杀伤细胞（DC-CIK）不同抗原负载后在治疗恶性黑色素瘤（MM）中的临床疗效与安全性。方法：采集2012年10月至2024年12月期间东部战区总医院秦淮医疗区收治的42例晚期MM患者的外周血单个核细胞，经实验室体外诱导培养成DC和CIK。根据患者HLA-A2的表达将患者分为多肽组和细胞组，多肽组负载混合多肽，细胞组负载肿瘤细胞A375裂解物。DC与CIK培养成熟后再回输给患者。比较两组患者的客观临床反应及生存期，检测治疗前后两组患者外周血淋巴细胞亚群，观察患者回输后的不良反应。结果：42例MM患者中，0例达CR，0例PR，31例SD，11例PD；其中，多肽组18例SD，6例PD，细胞组13例SD，5例PD。多肽组疾病控制率为75.0%，细胞组为72.2%；42例患者中死亡12例，其中细胞组4例，多肽组8例。1年OS率多肽组为76.6%，细胞组为66.7%；2年OS率多肽组为43.8%，细胞组为66.7%；3年OS率多肽组为43.8%，细胞组为33.3%，多肽组3年OS率略高于细胞组，但两组之间无统计学差异（P = 0.445）。两组MM患者治疗前后淋巴细胞亚群无显著差异（均P > 0.05），两组患者均未出现严重不良反应。结论：细胞负载DC-CIK与混合多肽负载DC-CIK治疗MM患者是安全的，能使患者临床获益，但两组的近期疗效和长期生存有差异以及免疫反应均无显著性差异。

Objective To compare the effects of sequential Exoview and Mimics three-dimensional reconstruction with fluorescence method in thoracoscopic pulmonary segmentectomy.Methods The clinical data of 160 patients with lung cancer admitted to our hospital from January 2020 to June 2023 were retrospectively analyzed.Among them,79 patients who underwent thoracoscopic pulmonary segmentectomy with the sequential Exoview three-dimensional reconstruction and fluorescence method before the operation were classified as the Exoview group,and 81 patients who underwent thoracoscopic pulmonary segmentectomy with the sequential Mimics three-dimensional reconstruction and fluorescence method before the operation were classified as the Mimics group.The surgical completion status,the coincidence rate between the number of left and right pulmonary artery branches evaluated before operation and intraoperative findings,reconstruction time,segment display effect,general indicators of operation(operation time,intraoperative blood loss,number of lymph node dissection,thoracic tube placement time,postoperative hospital stay),pulmonary function[forced expiratory volume in one second(FEV1),percentage of forced expiratory volume in one second(FEV1%)]and complications were compared between the two groups.Results All patients in the two groups successfully completed thoracoscopic pulmonary segmentectomy,and indocyanine green was injected once in each group.The operation process was roughly consistent with the preoperative simulation,and no thoracotomy was performed.There was no statistically significant difference in the resection of lung segment between the two groups of patients(P>0.05).The coincidence rate between the number of left and right pulmonary artery branches evaluated before operation and intraoperative findings in the Exoview group was higher than that in the Mimics group(P<0.05).There was no significant difference in the segment display effect between the Exoview group and the Mimics group(P>0.05).The operation time and the reconstruction time in the Exoview group were shorter those that in the Mimics group,and the intraoperative blood loss was less than that in the Mimics group(P<0.05).There was no significant difference in the number of lymph node dissection,the thoracic tube placement time,or the postoperative hospital stay between the two groups(P>0.05).There was no statistically significant difference in FEV1 or FEV1%7 days after surgery compared with those before surgery(P>0.05).The FEV1 and FEV1%of patients in the Mimics group 7 days after surgery were lower than those beforesurgery(P<0.05).There was no statistically significant difference in FEV1 or FEV1%between the Exoview group and the Mimics group before and 7 days after surgery(P>0.05).The total incidence of complications in the Exoview group was 1.27%,compared with 4.94%in the Mimics group,the difference was not statistically significant(P>0.05).Conclusion Both sequential Exoview and Mimics three-dimensional reconstruction with fluorescence method are safe and effective for thoracoscopic pulmonary segmentectomy,while Exoview has more advantages in preoperative assessment of the number of pulmonary artery branches,and it has shorter reconstruction time and operation time,with less impact on lung function.

Objective:This study aims to analyze the focus and existing shortcomings of informal elderly care policy in China,and to provide references for policy system optimization.Methods:A two-dimensional analysis framework of"policy instruments-participating actors"was constructed and a content analysis method was applied to quantitatively analyze 34 relevant policy texts on informal elderly care(2011-2025),aiming to reveal the structural features and evolution logic of the policy system.Results:The policy evolution has undergone three stages,including institutional initiation,regulated development,and systematic deepening.In terms of policy tools,supply-side,environmental,and demand-side tools accounted for 39.6%,33.6%,and 26.8%,respectively,with the structure transitioning from a"supply-dominated"to a diversified synergistic model of"supply optimization+environmental empowerment+demand stimulation".In terms of participating actors,government departments(27.7%)played a dominant role,technology enterprises showed increased participation(20.6%),while family members remained underrepresented(9.2%).Conclusion:It is necessary to further optimize the structure of policy tool,strengthen social participation and family support systems,promote the deep integration of technology and humanistic care,and enhance the systematicness and effectiveness of the policy system.

Objective:To explore the longitudinal predictive relationship between self-neglect and frailty among older adults.Methods:Data were drawn from the Chinese Longitudinal Healthy Longevity Survey conducted in 2011 (T1), 2014 (T2), and 2018 (T3). A total of 1 495 older adults aged≥65 years at T1 who participated in three consecutive surveys and had no missing key variables were included. General demographic information, self-neglect scores, and frailty status were extracted. Spearman correlation analysis was used to examine the association between self-neglect and frailty. Cross-lagged analysis was employed to investigate the potential causal relationship between the two variables.Results:The self-neglect scores for 1 495 older adults at T1, T2, and T3 were (2.84±1.39), (2.47±1.30), and (2.41±1.20), respectively, showing a declining trend. The frailty scores at T1, T2, and T3 were 0 (0, 1.00), 0 (0, 2.00), and 1.00 (0, 2.00), respectively, indicating an increasing trend. Cross-lagged analysis revealed that self-neglect at T1 positively predicted frailty at T2 (β=0.076, P=0.004). Frailty at both T1 and T2 positively predicted self-neglect at T2 (β=0.057, P=0.044) and T3 (β=0.058, P=0.029), respectively. Conclusions:Frailty among older adults positively predicts self-neglect, and self-neglect also has a certain predictive effect on frailty. Medical staff should strengthen early screening and intervention for frailty in older adults to delay the occurrence and progression of self-neglect.

Objective:To investigate the change trend of hepatectomy for hepatocellular carcinoma and efficacy of fluorescent laparoscopic hepatectomy in a single center from 2014?2023.Methods:The propensity score matching and retrospective cohort study was conducted. The clinicopathological data of 17 232 patients of hepatocellular carcinoma who were admitted to Zhongshan Hospital of Fudan University from January 2014 to December 2023 were collected. There were 14 404 males and 2 828 females, aged 58(range, 11?94)years. Observation indicators: (1) change trend of hepatectomy for hepatocellular carcinoma and application of fluorescent laparoscopy in 2014?2023; (2) propensity score matching between patients undergoing fluorescent and conventional laparoscopic hepatectomy; (3) intraoperative and postoperative conditions of patients in the fluorescent laparoscopy group and the conventional laparoscopy group after propensity score matching. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the nonparametic rank sum test. Propensity score matching was performed using the 1∶3 nearest neighbor matching method, with the caliper value of 0.01. Results:(1) Change trend of hepatectomy for hepatocellular carcinoma and application of fluorescent laparoscopy in 2014-2023. Among 17 232 patients of hepatocellular carcinoma, 4 074 cases underwent laparoscopic surgery, and 13 158 cases underwent open surgery or conversion from laparoscopic to open surgery. From 2014 to 2023, the proportions of laparos-copic surgery in hepatectomy were 8.993%(117/1 301), 6.804%(99/1 455), 9.379%(145/1 546), 17.511%(287/1 639), 23.828%(427/1 792), 24.572%(459/1 868), 29.662%(544/1 834), 31.568%(584/1 850), 38.080%(599/1 573), and 34.246%(813/2 374), respectively. The proportions of Grade Ⅲ surgery in laparoscopic hepatectomy were 11.966%(14/117), 7.071%(7/99), 12.414%(18/145), 21.254%(61/287), 28.337%(121/427), 27.887%(128/459), 34.375%(187/544), 34.644%(214/584), 35.726%(214/599), and 42.681%(347/813), respectively. From 2016 to 2023, the proportions of the application of fluorescent laparoscopy in laparoscopic hepatectomy were 2.069%(3/145), 5.923%(17/287), 8.431%(36/427), 10.022%(46/459), 17.647%(96/544), 24.829%(145/584), 9.182%(55/599), and 12.915%(105/813), respectively. (2) Propensity score matching between patients undergoing fluorescent and conventional laparoscopic hepatectomy. Among the 4 074 patients who underwent laparoscopic liver resection, 503 cases using fluorescent laparoscopy were assigned to the fluorescent laparoscopy group, 3 571 cases using conventional laparoscopy were assigned to the conventional laparoscopy group. A total of 1 794 patients were successfully matched, with 483 cases in the fluorescent laparoscopy group and 1 311 cases in the conventional laparoscopy group. After propensity score matching, the confounding biases of the maximum tumor diameter and the year of surgery were eliminated, and the two groups were comparable. (3) Intraoperative and postoperative conditions of patients in the fluorescent laparoscopy group and the conventional laparoscopy group after propensity score matching. After propensity score matching, there was no perioperative death in either the fluorescent laparoscopy group or the conventional laparoscopy group.The operation time of patients in the fluorescent laparoscopy group was 240(150,328)minutes, the portal triad clamping time was 30(15,45)minutes, the volume of intraoperative blood loss was 50(30,100)mL, the number of patients with complication 72, respectively. For patients in the conventional laparoscopy group, the above indicators were 180(131,240)minutes, 23(15,30)minutes, 55(50,100)mL, and 248, respectively. There were significant differences in the above indicators between the two groups ( Z=?7.593, ?7.372, ?4.941, χ2=3.873, P<0.05). Conclusion:The proportion and difficulty level of laparoscopic hepatectomy for hepatocellular carcinoma in Zhongshan Hospital of Fudan University have shown an upward trend during 2014?2023. Compared with conventional laparoscopy, patients undergoing fluorescent laparoscopic hepatectomy have longer operation time and portal triad clamping time, but less intraoperative blood loss and lower iproportion of complications.

Objective:This study aims to analyze the focus and existing shortcomings of informal elderly care policy in China,and to provide references for policy system optimization.Methods:A two-dimensional analysis framework of"policy instruments-participating actors"was constructed and a content analysis method was applied to quantitatively analyze 34 relevant policy texts on informal elderly care(2011-2025),aiming to reveal the structural features and evolution logic of the policy system.Results:The policy evolution has undergone three stages,including institutional initiation,regulated development,and systematic deepening.In terms of policy tools,supply-side,environmental,and demand-side tools accounted for 39.6%,33.6%,and 26.8%,respectively,with the structure transitioning from a"supply-dominated"to a diversified synergistic model of"supply optimization+environmental empowerment+demand stimulation".In terms of participating actors,government departments(27.7%)played a dominant role,technology enterprises showed increased participation(20.6%),while family members remained underrepresented(9.2%).Conclusion:It is necessary to further optimize the structure of policy tool,strengthen social participation and family support systems,promote the deep integration of technology and humanistic care,and enhance the systematicness and effectiveness of the policy system.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.