On the basis of that the fluorescence wavelength of copper nanoclusters(CuNCs)could cover the entire visible region,multicolor fluorescent CuNCs/starch composites were prepared and applied in fingermark development.With L-glutathione as the reducing agent and protective ligand,blue emissive and orange emissive CuNCs solutions were obtained in alkaline solutions at 90℃and 25℃,respectively.With the aggregation-induced emission effect induced by ethanol as a poor solvent,the fluorescence of orange emissive CuNCs with a higher intensity was achieved in an ethanol-water solution.With ascorbic acid as the reducing agent and 3-mercaptopropionic acid as the protective agent,green emissive CuNCs solution was prepared in an acid solution.Particle morphologies,chemical compositions and optical properties of these three CuNCs above were investigated using physical characterization and spectroscopic analysis,indicating that well-dispersed CuNCs had excellent photoluminescent properties.These CuNCs solutions were combined with starch to form composite powders by simply drying.The influences of the type of CuNCs and the ratio of CuNCs to starch on the emission wavelength and fluorescence intensity of the products were studied.The obtained CuNCs/starch composites could emit blue,green and orange fluorescence under 365 nm ultraviolet light,respectively,which were suitable for fingermark development.Minutiae and partial level-3 features of latent fingermarks could be effectively developed.High-quality fluorescence fingermark images would be captured using appropriate optical filters to eliminate background interference of various substrates.

Introducing fingerprint level 3 features(especially sweat pores)in fingerprint recognition can significantly improve the value of fingerprints.However,conventional fingerprint visualization methods suffer from issues such as poor stability and reproducibility,insufficient resolution,and feature masking in detecting level 3 features.Electrospun membrane has unique advantages in latent fingerprint(LFP)detection due to its excellent adsorption performance and high specific surface area,and thus its application potential in LFP visualization urgently need to be explored.A novel pore visualization method based on core-shell structured PAN-Flu/PVP composite nanofibrous membrane was proposed in this work.Specifically,the PAN-Flu/PVP composite nanofibrous membrane was prepared via coaxial electrospinning technology,with polyacrylonitrile(PAN)loaded with fluorescein(Flu)as the core and polyvinylpyrrolidone(PVP)as the shell.The experimental results showed that the prepared PAN Flu/PVP composite nanofibrous membrane had a porous structure and excellent adsorption performance.Based on the water solubility of the outer shell PVP and the water induced fluorescence enhancement effect of the core Flu,high-resolution visualization of sweat pores could be achieved within 2 s.The optimization experiment showed that the best quality of sweat latent fingerprints was obtained when the Flu content was 4 mg/mL,the spinning time was 1 h,and the sweating time was 2 min.Through repeated fingerprinting and live fingerprint comparison experiment,the strong stability and high reproducibility of the as-produced membrane in displaying fingerprint sweat pores were finally verified.In summary,the development method could quickly,stably and accurately extract the spatial distribution and activity level of fingerprint sweat pores,which was of great significance for improving the utilization and value of fingerprints.

The pathogenesis of Alzheimer's disease(AD)is complex and unclear.Existing drugs can only alleviate its symp-toms,and there is an urgent need to develop effective therapeutic drugs.As the representative drugs of tonic and enlightening medicine,ginseng and acorus calamus have pharmacological effects to improve memory,improve learning ability and reduce cognitive impairment,which are commonly used in Chinese med-icine for the treatment of dementia.The combination of ginseng and acorus calamus can further promote the active ingredients in-to brain to exert their medicinal effects,and delay the process of AD through anti-inflammatory,anti-oxidative stress,modulation of neuronal-synaptic plasticity and other multiple pathways,with multi-level,multi-system and multi-target action characteristics.This paper attempts to summarize the existing research results and lay the foundation for further exploring the synergistic mech-anism of action of ginseng-acorus calamus combination and the dose-effect relationship of the combination,so as to provide a sci-entific basis for the development of innovative Chinese medicines for the prevention and treatment of AD.

Based on the"pivot movement"theory of distinguished physician Huang Yuanyu in the Qing Dynasty,it is believed that the core mechanism of abdominal flatulence disease is the unfavorable operation of the central axis pivot,and the ascent and descent disorder of qi movement in the central earth.The pathogenesis of abdominal flatulence disease was explained from the perspectives of mistakenly dropping the damage to yang,keeping the lung qi from falling,and declining central qi deficiency.The main concept of clinical practice was to promote the movement of the middle earth,promote the movement of the spleen and stomach,and restore position of yin and yang and clearing and turbidity.Examples were given of the five commonly used TCM prescriptions,including Xiaqi Decoction,Banxia Xiexin Decoction,Gancao Xiexin Decoction,Shengjiang Xiexin Decoction and Xuanfu Daizhe Decoction,to explain the treatment approach guided by the theory of"pivot movement",in order to provide reference for clinical diagnosis and treatment.

Objective:To explore the clinical efficacy of targeted interventional embolization therapy by a multidisciplinary team for the hemorrhagic shock caused by acute pelvic fracture or/and acetabular fracture.Methods:A retrospective study was conducted to analyze the data of 63 patients with hemorrhagic shock caused by pelvic fracture or/and acetabular fracture who had been admitted to Department of Orthopaedics, The Second Hospital of Shanxi Medical University from January 2015 to July 2022. There were 44 males and 19 females with an age of (39.6±15.6) years, and 23 pelvic fractures, 35 acetabular fractures, and 5 pelvic and acetabular fractures. The time from injury to targeted interventional embolization therapy was 2.67 (2.00, 3.33) hours. All the patients were treated with targeted interventional embolization therapy by a multidisciplinary team involving orthopedics, interventional medicine, general surgery, and urology. The shock index and lactate level within 12 hours after therapy, 24-hour urine output, and incidence of complications 3 weeks after therapy were recorded.Results:No bleeding was found again in the 63 patients after embolization. Within 12 hours after therapy, the shock index was ≤1.0, indicating the shock was corrected. Within 12 hours after targeted interventional embolization therapy, the shock index (0.70±0.46) and lactate value [(2.03±1.35) mmol/L] in the 63 patients were significantly lower than those before therapy [(1.76±0.56) and (4.53±1.74) mmol/L] ( P<0.05). The 24-hour urine output [(50.26±20.38) mL/h] was significantly higher than that before therapy [(21.56±1.27) mL/h] ( P<0.05). Two patients experienced poor blood circulation in the distal skin of the great toe, which was relieved after treatment with blood circulation promotion and anticoagulation. Three patients developed necrosis of the hip soft tissue, which was cured after multiple times of debridement and anti-infection treatments. One patient with severe injury died from multiple organ dysfunction. Conclusions:The targeted interventional embolization therapy can not only diagnose the bleeding location in patients with hemorrhagic shock caused by pelvic fracture or/and acetabular fracture, but also timely and accurately carry out hemostatic treatment to correct shock. Moreover, a multidisciplinary team can help patients avoid multiple surgeries and decrease their pain and financial loss.

To address the key challenges in multivariate statistical modeling,a higher-order derivative approach combined with vector space angle multiplicative error correction was proposed for establishing an acid value prediction ordinary least squares(OLS)regression model based on attenuated total reflectance-Fourier transform infrared(ATR-FTIR)spectroscopy.By using acid values measured by potentiometric titration as reference,ATR-FTIR spectroscopy was utilized for direct calibration and prediction of acid values on 96 kinds of lubricating oil samples from a wind turbine.Firstly,the simulated hyperbolic(SH)method was employed to obtain accurate fourth derivative spectrum,resolving overlapping bands and enhancing spectral selectivity.Then,from the calibration set(48 samples),informative spectral regions were identified based on correlation coefficients.Next,the sample with the highest acid value was selected as the reference and1/(1+tan(θ/2))was used as the metric relation of the spectrum to suppress the multiplicity error caused by factors such as the change of effective optical path in ATR-FTIR spectroscopy.After pretreatment of the spectrum by the method of fourth-order derivative combined with angular quantity,the number of variables decreased from 1737 to 8,and the matrix condition number decreased from 1.85×1015 to 56.34,which effectively eliminated the collinearity issue for OLS regression.Direct OLS modeling on spectral preprocessed data achieved a determination coefficient of 0.981 for 47 validation samples,with a relative error range of-8.38%-8.22%,outperforming the commonly used partial least squares(PLS)method(Determination coefficient of 0.865,relative error of-27.82%-22.38%).It was proved that effective data preprocessing significantly improved the prediction accuracy of the model.Furthermore,when the number of calibration set was compressed to 25 and the number of validation set was expanded to 70,the model retained 8 variables with a condition number of 42.60,the determination coefficient of validation set was 0.972,and the relative error ranged from-10.80%to 12.31%.Comparing with the PLS method(Determination coefficient of 0.724,relative error of-34.26%-53.84%),the improvement was more obvious,which showed that the method could still have high prediction accuracy even with fewer modeling samples as well as robustness against multiplicative error interference.

Objective: To investigate the pathological changes and conduct viral gene analysis of OPA and MVD co-occurrence in Inner Mongolia, China. Methods: Using gross pathology, histopathology, immunohistochemistry, ultrastructural pathology, PCR, and sequence analysis, we investigated the concurrent infection of JSRV and MVV in 319 Dorper rams slaughtered in a private slaughterhouse in Inner Mongolia, in 2022. Results: Of the 319 rams included, 3 showed concurrent JSRV and MVV infection. Gross lung pathology showed diffuse enlargement, consolidation, and greyish-white miliary nodules on the lung surface; the trachea was filled with a white foamy fluid; hilar and mediastinal lymph nodes were significantly enlarged. Histopathology results revealed typical OPA and MVD lesions in the lung tissue. Immunohistochemical results were positive for JSRV envelope protein (Env) in the tumor cells and MVV CA in alveolar macrophages. Transmission electron microscopy showed several virions and autophagosomes in the lung tissue, severely damaged mitochondria, and the induced mitophagy. Nucleotide sequences obtained for JSRV env and MVV gag showed the highest homology with the Inner Mongolian strains of JSRV env (JQ837489) and MVV gag (MW248464). Conclusions and Relevance: Our study confirmed that OPA and MVD co-occurrence and identified the pathological changes in Inner Mongolia, China, thereby providing references for the identification of concurrent JSRV and MVV infections.

INTRODUCTION: Timely detection of dementia enables early access to dementia-specific care services and interventions. Various stakeholders brought together to refine Singapore's dementia care strategy identified a lack of a standardised cognitive screening tool and the absence of a comparative review of existing tools. We hence conducted a rapid review to evaluate the diagnostic performance of brief cognitive screening tools in identifying possible dementia among community-dwelling older adults in Singapore. METHOD: Brief cognitive screening tools were defined as interviews or tests administered in ≤5 minutes. Studies performed in Singapore on older adults ≥60 years, which used locally-validated comparators and reported outcomes of clinician-diagnosed dementia were included. Rapid review methodology was used in study screening and selection. Quality Assessment of Diagnostic Accuracy Studies version 2 tool was used for risk-of-bias assessment. A negative likelihood ratio (LR-) of ≤0.2 was defined a priori as having a moderate effect in shifting post-test probability. RESULTS: Fourteen studies were included in qualitative synthesis: 3 studies evaluated self-/informant-based tools only, 4 evaluated performance-based measures only and 7 evaluated combination approaches. Eight-item Informant Interview to Differentiate Aging and Dementia (AD8) was the most studied self-/ informant-based tool. One study found informant AD8 (iAD8) superior to self-rated AD8. Another study found iAD8 superior to Mini-Mental State Examination. Among performance-based measures, Abbreviated Mental Test, Visual Cognitive Assessment Test-Short form version 1 (VCAT-S1), VCAT-S2 and Mini-Cog had LR- <0.2. Minimal improvement of combination approaches compared to iAD8 alone was demonstrated. CONCLUSION Our review suggests the limited utility of dementia screening in communities with low dementia prevalence and supports a case-finding approach instead. With a reliable informant, iAD8 alone has sufficient discriminant ability. Further research is needed to specifically assess the diagnostic ability of performance-based tools in community settings.
Humans ; Singapore ; Dementia/diagnosis* ; Aged ; Independent Living ; Mass Screening/methods* ; Middle Aged ; Aged, 80 and over

Objective: To analyze the trends of the age of menarche among Chinese Han girls aged 9 to 18 years from 2010 to 2019. Methods: Data were extracted from the Chinese National Surveys on Students' Constitution and Health in 2010, 2014 and 2019. A total of 253 037 Han girls aged 9 to 18 years with complete data on menarche were selected in this study. They were asked one-on-one about their menstrual status, age and residence information. The median age of menarche was estimated by probability regression. U tests were used to compare the difference in median age at menarche in different years. Results: The median age at menarche (95%CI) among Chinese Han girls was 12.47 (12.09-12.83) years in 2010, 12.17 (11.95-12.38) years in 2014 and 12.05 (10.82-13.08) years in 2019, respectively. Compared with that in 2010, the median age at menarche in 2019 decreased by 0.42 years (U=-77.27, P<0.001). The annual average changes were-0.076 years from 2010 to 2014 (U=-57.19, P<0.001) and-0.023 years from 2014 to 2019 (U=-21.41, P<0.001), respectively. The average annual changes in urban areas in the periods of 2010 to 2014 and 2014 to 2019 were-0.071 years and 0.006 years, respectively, while those in rural areas were-0.082 years and-0.053 years, respectively. The average annual changes in the regions of north, northeast, east, south central, southwest and northwest were-0.064, -0.099, -0.091, -0.080, -0.096 and-0.041 years in the period of 2010 to 2014 and 0.001, -0.040, -0.002, -0.005, -0.043 and-0.081 years in the period of 2014 to 2019. Conclusion: The age of menarche among Chinese Han girls aged 9 to 18 years shows an advanced trend from 2010 to 2019, and the trends in urban and rural areas and different regions have different characteristics.