ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Surgical robot is the national strategic diagnostic and therapeutic equipment research focus,get a number of scientific research institutes,colleges and universities and enterprises pay extensive attention to the design and development of a variety of surgical robots,and registration declaration.This article explores the critical technologies of surgical robots and key areas for optimizing their performance,including kinematic positioning errors,pose errors,feedback model errors,image recognition positioning errors,path planning,and safety aspects.The findings not only provide a scientific basis for future standardization research on surgical robots but also offer significant theoretical and practical references for the research,manufacturing,and registration processes in the medical robotics industry.

The ICR(Institute of Cancer Research)mouse infection model was constructed to study the pathogenicity of Sal-monella Telelkebir serotype,and the pathogenic identification of mouse isolates was carried out.Observe the bacterial excretion cycle,evaluate the pathogenicity of Salmonella serotype to mice,and calculate the LD50 by the changes in clinical characteris-tics,histopathology and tissue bacterial load of infected mice;by flight mass spectrometry,biochemical identification,serotype identification,molecular typing and other experiments,compared with human isolates;virulence gene analysis was carried out by PCR experiment and whole genome sequencing.The LD50 of Salmonella Telelkebir is 2.67 × 108 CFU/mL;curling and fluffing may occur 0.5 h after infection;autopsy of dead mice showed that the small intestine was severely congested,with more bubbles and fluid accumulation,cecal necrosis,liver apical degeneration and necrosis,necrotic foci on the surface of the kidney and spleen atrophy;the bacterial load of spleen,kidney,lung,liver and jejunum in mice reached its peak at 3 days after infection,while that of heart at 6 days;the bacterial excretion time of the high-dose group exceeded 100 days;The level of CD3 in tissues increased with increasing dose,with inflammatory cell infiltration,myocardial capillary dilation and hyperemia,large area of vacuoles,degeneration and necrosis of hepatocytes,obvious enlargement of splenic sinus,blurred zoning,thickening of glomerular basement membrane,partial exfoliation of ciliated epithelium,atrophy and exfoliation of jejunal villi;PCR and whole genome sequencing revealed Salmonella-related virulence genes such as cdtB,plt A and pltB.This study was the first to successfully establish the ICR mouse model of Salmonella Telelkebir,demonstrating that this serotype of Salmonella has some pathogenicity.

Non-alcoholic fatty liver disease (NAFLD) is a pathological syndrome characterized by the excessive deposition of lipids in hepatocytes but not caused by alcohol and other definite liver damage factors. The pathogenesis of NAFLD is complex. When the liver is damaged, a large amount of lipids deposited in hepatocytes will induce oxidative stress injury, endoplasmic reticulum stress and metabolic disorders in hepatocytes, and immune cells further secrete inflammatory cytokines and release them into the blood, causing systemic inflammation. In the process of NAFLD, the inflammatory response plays an important role. Macrophages are the most abundant non-parenchymal cells in the liver and play an important role in liver inflammatory injury. Hepatic macrophages include liver-native and monocyte-derived macrophages, and their activation and polarization processes are involved in the different development stages of NAFLD. Traditional Chinese medicine (TCM) compound and its active compounds have been found to regulate macrophages to participate in the process of inflammation, injury and recovery of NAFLD. Based on the existing research reports, this paper elaborates the relationship between the source, activation and polarization of macrophages and NAFLD as the breakthrough point, and systematically reviews the mechanism of TCM in the prevention and treatment of NAFLD by regulating the activation, recruitment and polarization of macrophages. This paper aims to provide new ideas for the discovery of novel NAFLD candidate drugs from TCM via targeting macrophages.

Eighteen compounds were isolated from the methanol extract of the fruits of Litsea cubeba by silica gel, ODS, Sephadex LH-20 column chromatography, semi-preparative RP-HPLC, chiral HPLC and recrystallization. Their structures were elucidated by spectroscopic analyses and by comparison with reported spectroscopic data and physicochemical properties, and the absolute configurations of the enantiomers were established by experimental and calculated electronic circular dichroism spectra. These compounds were identified as (+)-(R)-4-hydroxypiperitenone (1a), (-)-(S)-4-hydroxypiperitenone (1b), (3S,4S,6R)-3,6-dihydroxy-1-menthene (2), (4S,5R)-4-hydroxy-5-isopropyl-2-methylcyclohex-2-en-1-one (3), (R)-6-hydroxy-3-(2-hydroxypropan-2-yl)-6-methylcyclohex-2-enone (4), (4S,6R)-4-hydroxy-6-isopropyl-3-methylcyclohex-2-enone (5), (1R,3S,4R)-3-hydroxy isopulegol (6), subamone (7), (6S)-3,7-dimethyl-7-hydroxy-2(Z)-octen-6-olide (8), (6S)-6,7-dihydroxy-3,7-dimethyloct-2(Z)-enoate (9), holostylactone (10), sesamin (11), dimethylmatairesinol (12), p-hydroxybenzoylcarbinol (13), syringaldehyde (14), p-hydroxybenzaldehyde (15), 4-hydroxy-3-methoxybenzaldehyde (16), 5,4ʹ-dihydroxy-7-methoxyflavone (17). Among them, compounds 1a and 1b were a pair of new monoterpenoid enantiomers, 8 and 9 were new natural products, 2-7, 10, 11 and 17 were isolated from Litsea genus for the first time. The in vitro anti-inflammatory effects of compounds 1-17 were evaluated using lipopolysaccharide-stimulated RAW264.7 cells, the results showed that compound 14 exhibited significant anti-inflammatory activity with NO inhibitory rate of 66.27% at a concentration of 40 μmol·L^-1.

Objective To investigate the distribution of traditional Chinese medicine(TCM)constitution types in patients with perimenopause metabolic syndrome in Guangzhou based on the Stages of Reproductive Aging Workshop+10(STRAW+10),so as to provide a theoretical basis for TCM constitution regulation for patients with PMS.Methods According to the diagnostic criteria of metabolic syndrome,a total of 90 patients with PMS were included.Based on the STRAW+10 staging criteria,the PMS patients were divided into early perimenopause group(-2 phase of STRAW+10,49 cases),late perimenopause group(-1 phase of STRAW+10,24cases),and early postmenopausal group(+la phase of STRAW+10,17 cases).Traditional Chinese Medicine Constitution Classification and Distinguishing Criteria were used to identify the TCM constitution types of all the subjects.At the same time,the Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS)were used for scoring anxiety and depression.The distribution of TCM constitution types in patients with different STRAW+10 stages was analyzed,and the SAS and SDS scores of patients with different STRAW+10 stages were compared.Results(1)The primary TCM constitution types in the early perimenopause group(-2 phase of STRAW+10)were yang deficiency constitution(14 cases,29.79％),balanced constitution(10 cases,21.28％),yin deficiency constitution(six cases,12.76％)and blood stasis constitution(six cases,12.76％).In the late perimenopause group(-1 phase of STRAW+10),the primary TCM constitution types were yang deficiency constitution(six cases,25.00％),balanced constitution(four cases,16.66％),blood stasis constitution(four cases,16.66％),qi deficiency constitution(three cases,12.50％)and phlegm-damp constitution(three cases,12.50％).In the early postmenopausal group(+la phase of STRAW+10),the primary TCM constitution types were yang deficiency constitution(seven cases,46.67％),balanced constitution(two cases,13.33％),phlegm-damp constitution(two cases,13.33％),blood stasis constitution(two cases,13.33％),qi deficiency constitution(one case,6.67％)and qi stagnation constitution(one case,6.67％).(2)The SAS score and SDS score in the early perimenopause group(-2 phase of STRAW+10)were(34.55±7.46)points and(35.55±10.61)points,respectively,which were higher than those in the late perimenopause group(-1 phase of STRAW+10)[(33.83±7.73)points and(35.46±11.35)points,respectively]and in the early postmenopausal group(+la phase of STRAW+10)[(35.65±8.67)points and(36.59±12.07)points,respectively].All of the scores were higher than the overall average level.Conclusion The TCM constitution of patients with perimenopause metabolic syndrome is predominated by yang deficiency constitution.The percentage of the balanced constitution gradually decreases with the progression of STRAW+10 staging,and the biased constitutions gradually develop from yin deficiency constitution and blood stasis constitution into qi deficiency constitution and phlegm-damp constitution,and then into phlegm-damp constitution and blood stasis constitution again.With the progression of the stage,the deficiency in the fundamental of the PMS patients becomes more deficient and the pathogens of excess in the incidental also grow.

This article discussed the significance of latent pathogen theory in the understanding of pathogenesis and prevention and treatment of epidemic diseases such as novel coronavirus infection(COVID-19).Latent-qi is the cause of epidemic febrile disease,and it is also the yang-heat qi of human body.The stagnant yang-heat qi hidden in the body can induce the latent heat constitution.The latent heat constitution is particularly closely related to the development and progression of epidemic febrile disease,and is susceptible to the warm pathogen.The significance of the latent pathogen theory on the prevention and treatment of epidemic diseases such as COVID-19 with traditional Chinese medicine is as follows:abnormal climate is an important early warning and is the external condition for the development of epidemic diseases;latent pathogen is easily assimilated into the newly-attacked pathogenic factors for the assimilation of similar nature,and then injuries taiyin-spleen,which causes spleen deficiency and dampness accumulation and then results in latent dampness;preventing and treating epidemic diseases based on the latent pathogen theory is helpful for identifying the key syndromes,formulating the core regimen indicated for the pathogenesis,and cutting off the progression of the disease.Based on the latent pathogen theory,dampness-removing therapy for latent dampness is important for the prevention and early treatment of COVID-19,and our research group has developed a Chinese herbal formula of Wuzhi Fangguan Prescription(composed of Fici Simplicissimae Radix,Coicis Semen,Poria,Herba Polygoni Chinensis,Atractylodis Rhizoma,Pogostemonis Herba,and Glycyrrhizae Radix et Rhizoma)to prevent COVID-19 early by using a variety of dampness-removing methods such as drying dampness,resolving dampness,draining dampness,and invigorating spleen.The prescription is indicated for the prevention and early treatment of COVID-19.The mechanism of dampness-removing therapy is mainly related to the improvement of the disordered immune function and restoration of the body's resistance to diseases.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To investigate the efficacy of therapeutic hypothermia on mild neonatal hypoxic-ischemic encephalopathy(HIE).Methods A prospective study was performed on 153 neonates with mild HIE who were born from September 2019 to September 2023.These neonates were randomly divided into two groups:therapeutic hypothermia(n=77)and non-therapeutic hypothermia group(n=76).The short-term clinical efficacy of the two groups were compared.Barkovich scoring system was used to analyze the severity of brain injury shown on magnetic resonance imaging(MRI)between the two groups.Results There were no significant differences in gestational age,gender,birth weight,mode of birth,and Apgar score between the therapeutic hypothermia and non-therapeutic hypothermia groups(P>0.05).There were no significant differences in the incidence rates of sepsis,arrhythmia,persistent pulmonary hypertension and pulmonary hemorrhage and the duration of mechanical ventilation within the first 72 hours after birth between the two groups.The therapeutic hypothermia group had longer prothrombin time within the first 72 hours after birth and a longer hospital stay(P<0.05).Compared with the non-therapeutic hypothermia group,the therapeutic hypothermia group had lower incidence rates of MRI abnormalities(30%vs 57%),moderate to severe brain injury on MRI(5%vs 28%),and watershed injury(27%vs 51%)(P<0.05),as well as lower medium watershed injury score(0 vs 1)(P<0.05).Conclusions Therapeutic hypothermia can reduce the incidence rates of MRI abnormalities and watershed injury,without obvious adverse effects,in neonates with mild HIE,suggesting that therapeutic hypothermia may be beneficial in neuroprotection in these neonates.