ObjectiveTo explore the clinical application value of CIE 1976 L*a*b*（Lab） color space in the differential diagnosis of early esophageal cancer and non-cancerous lesions. MethodsWe selected the endoscopic images of patients with esophageal lesions confirmed by pathology who underwent white light imaging endoscopy （WLI） and narrow band imaging endoscopy （NBI）. Five regions of interest （ROI） were selected respectively from the mucosa of the lesion area and the mucosa of the surrounding normal area for labeling. The Lab color space parameters were extracted and counted， and the color difference values（ΔE*）were calculated. ResultsA total of 213 eligible patients were included for analysis in the study. In WLI and NBI modes， there were differences in mucosal color between the early esophageal cancer group and the non-cancer group （P<0.05）. Compared with WLI mode， NBI mode could significantly increase the color difference between early esophageal cancer and non-cancerous lesions （P<0.05）. The lightness component value （L* value） of the early esophageal cancer lesion area was lower than that of the non-cancerous lesion area， and this color difference was more significant in the NBI mode （P<0.05）. In WLI mode， there was no significant difference in yellow-blue component value （b* value） between the mucosa of early esophageal cancer and non-cancerous lesions. However， in the NBI mode， the b* value of the mucosa in the non-cancerous lesion area was higher than that in the early esophageal cancer lesion area （P<0.05）. On the red-green axis， the mucosa of the early esophageal cancer and non-cancerous lesions was red in WLI mode and green in NBI mode. There was no significant difference in red-green component value （a* value） between the two groups. ConclusionThere are color differences between early esophageal cancer and non-cancerous lesions under WLI and NBI. The color of early esophageal cancer is darker under WLI， and the color of non-cancerous lesions is yellower under non-magnified NBI mode. Lab color space is helpful to identify early esophageal cancer and non-cancerous lesions.

Accurately obtaining the crop quantity and density is not only crucial for the demand-based input of water and fertilizer in the field but also vital for ensuring the yield and quality of crops. Aerial photography by unmanned aerial vehicles (UAVs) can quickly acquire the distribution image information of crops over a large area. However, the accurate recognition of a single type of dense targets is a huge challenge for most recognition algorithms. Taking banana seedlings as an example in this study, we captured the images of banana plantations by UAVs from high altitudes to explore an efficient recognition method for dense targets. We proposed a strategy of "cut-recognition-stitch" and constructed a counting method based on the improved Faster R-CNN algorithm. First, the images containing highly dense targets were cropped into a large number of image tiles according to different sizes (simulating different flight altitudes), and the Contrast Limited Adaptive Histogram Equalization (CLAHE) algorithm was adopted to improve the image quality. A banana seedling dataset containing 36 000 image tiles was constructed. Then, the Faster R-CNN network with optimized parameters was used to train the banana seedling recognition model. Finally, the recognition results were reversely stitched together, and a boundary deduplication algorithm was designed to correct the final counting results to reduce the repeated recognition caused by image cropping. The results show that the recognition accuracy of the Faster R-CNN with optimized parameters for banana image datasets of different sizes can reach up to 0.99 at most. The deduplication algorithm can reduce the average counting error for the original aerial images from 1.60% to 0.60%, and the average counting accuracy of banana seedlings reaches 99.4%. The proposed method effectively addresses the challenge of recognizing dense small objects in high-resolution aerial images, providing an efficient and reliable technical solution for intelligent crop density monitoring in precision agriculture.
Musa/growth & development* ; Crops, Agricultural/growth & development* ; Algorithms ; Neural Networks, Computer ; Unmanned Aerial Devices ; Seedlings/growth & development* ; Image Processing, Computer-Assisted/methods* ; Photography ; Agriculture/methods*

Objective To explore curative effect of two thrombolytic regimens in the treatment of ultra-early acute cerebral infarction(ACI)of different age groups and different thrombolytic time windows.Methods A total of 166 patients with ACI were enrolled,with interval from onset to treatment≤4.5 h.According to different thrombolytic regiments,patients were divided into the recombinant tissue plasminogen activator(rt-PA)group(104 cases,intravenous thrombolysis with 0.9 mg/kg rt-PA)and the tenecteplase(TNK)group(62 cases,intravenous thrombolysis with 0.25 mg/kg TNK).According to different age groups and different thrombolytic time windows,patients were divided into the high age group(≥70 years),the low age group(＜70 years),the short time window group(＜3 h)and the long time window group(3-4.5 h).After thrombolysis,laboratory indexes[neutrophil(NEU),lymphocyte(LYM)],scores of National Institutes of Health Stroke Scale(NIHSS),modified Rankin scale(mRS)and incidence of adverse events were compared in different groups by factorial analysis method.Results There was no significant difference in any index between the rt-PA group and the TNK group(P＞0.05).Compared with the high age group at 7 d after thrombolysis,NIHSS score,NEU,neutrophil to lymphocyte ratio(NLR)and high sensitive C-reactive protein(hs-CRP)were lower,while LYM and albumin(ALB)were higher in the low age group(P＜0.05).Compared with the long time window group,NEU and NLR were lower,while LYM was higher in the short time window group(P＜0.05).There was no significant difference in total incidence of adverse events within 14 d of thrombolysis between the different age groups and the different thrombolytic time window groups(P＞0.05).Conclusion For patients with ultra-early ACI,0.9 mg/kg rt-PA and 0.25 mg/kg TNK have comparable efficacy in intravenous thrombolysis,and both have better effects when patient age is＜70 years old and the thrombolysis time window is＜3 hours.

Systemic vascular diseases characterized by a common pathological feature of atherosclerosis are referred to as pan-vascular disease, the incidence and mortality of which are increasing currently. Apolipoproteins are closely related to the occurrence of atherosclerosis due to their genetic polymorphism, and expected to become new biomarkers for prediction and intervention of the disease. This article reviews the research progress on the biological functions of apolipoproteins, and the association of the apolipoprotein B (ApoB)/apolipoprotein A1 (ApoA1) ratio with the pathogenesis and progress of atherosclerosis. Understanding the ApoB/ApoA1 ratio in different populations with pan-vascular diseases and its effects on different interventions will be conducive to precise and personalized disease management, and to improve clinical outcomes and the quality of life of patients.

Objective To explore the correlation between serum insulin-like growth factor1(IGF-1),insulin-like growth factor binding protein3(IGFBP-3),bone-specific alkaline phosphatase(BAP)and abundance of intestinal flora in children with idiopathic short stature(ISS).Methods A total of 86 children with ISS who were treated with short-acting recombinant growth hormone for the first time in Department of Endocrinology of Baoding Hospital,Beijing Children's Hospital,Capital Medical University,were enrolled from July 2021 to June 2023.Before treatment and at 6 months after treatment,physical indexes(height,weight)and bone age indexes[bone age index(BAI),bone age difference(BAD)]were detected with the same instrument at the same place.The fasting venous blood was collected to detect levels of serum IGF-1,IGFBP-3 and BAP by enzyme-linked immunosorbent assay.The abundances of intestinal floras were monitored by 16s rDNA high-throughput sequencing technology combined with bioinformation analysis technology.A total of 40 healthy children during the same period were enrolled as control group,and differences in different indexes within the same groups or between the two groups were compared by independent sample t test or paired t test.The correlation between abundances of intestinal floras and levels of serum IGF-1,IGFBP-3 and BAP was analyzed by Pearson correlation analysis.Results Compared with the control group.the height,weight,BAD,BAI,levels of serum IGF,IGFBP-3 and BAP,Chaol,Shannon and Pielou e of ISS patients decreased before treatment,and the differences were statistically significant(t=7.119～44.143,all P<0.05).After treatment,height,weight,BAD,BAI,levels of serum IGF,IGFBP-3 and BAP,Chaol,Shannon and Pielou e were increased in ISS children(t=3.145～39.188),the above indexes were still lower than those in control group(t=2.389～69.893),the differences were statistically significant(all P<0.05),respectively.In intestinal floras,dominant bacterial groups at phylum level were Firmicutes,Bacteroidetes,Actinobacteria and Proteobacteria,while dominant bacterial groups at genus level were Blautia,Bifidobacterium,Faecalibacterium and Bacteroides.Compared with the control group,before treatment,the abundances of Actinobacteria and Proteobacteria increased in the ISS group,while the abundances of Bacteroidetes,Bifidobacteria and Bacteroides decreased,and the differences were statistically significant(t=25.224～46.345,all P<0.05).After treatment,abundances of Bacteroidetes,Bifidobacterium and Bacteroides in the ISS group increased compared to before treatment,while abundance of Proteobacteria decreased,and the differences were statistically significant(t=10.055～39.245,all P<0.05).The abundances of Bacteroidetes,Bifidobacterium and Bacteroides in ISS group were lower than those in control group,while abundance of Proteobacteria was higher than that in control group,and the differences were statistically significant(t=6.290～20.540,all P<0.05).The abundances of Bacteroidetes,Bifidobacterium and Bacteroides were positively correlated with levels of serum IGF-1,IGFBP-3 and BAP(r=0.300～0.759,all P<0.05).Conclusion The abundances of intestinal floras are decreased,and the structure is abnormal in children with ISS.The abundances of beneficial bacteria in intestinal floras are related to levels of serum IGF-1,IGFBP-3 and BAP.In clinical treatment of ISS,combined treatment with intestinal flora disorders may be conducted.

OBJECTIVES: To investigate the structural changes of rat thoracic aorta and changes in expression levels of Bmal1 and cyclins in thoracic aorta endothelial cells following heat stress. METHODS: Twenty male SD rats were randomized equally into control group and heat stress group. After exposure to 32 ℃ for 2 weeks in the latter group, the rats were examined for histopathological changes and Bmal1 expression in the thoracic aorta using HE staining and immunohistochemistry. In the cell experiments, cultured rat thoracic aortic endothelial cells (RTAECs) were incubated at 40 ℃ for 12 h with or without prior transfection with a Bmal1-specific small interfering RNA (si-Bmal1) or a negative sequence. In both rat thoracic aorta and RTAECs, the expressions of Bmal1, the cell cycle proteins CDK1, CDK4, CDK6, and cyclin B1, and apoptosis-related proteins Bax and Bcl-2 were detected using Western blotting. TUNEL staining was used to detect cell apoptosis in rat thoracic aorta, and the changes in cell cycle distribution and apoptosis in RTAECs were analyzed with flow cytometry. RESULTS: Compared with the control rats, the rats exposed to heat stress showed significantly increased blood pressures and lowered heart rate with elastic fiber disruption and increased expressions of Bmal1, cyclin B1 and CDK1 in the thoracic aorta (P<0.05). In cultured RTAECs, heat stress caused significant increase of Bmal1, cyclin B1 and CDK1 protein expression levels, which were obviously lowered in cells with prior si-Bmal1 transfection. Bmal1 knockdown also inhibited heat stress-induced increase of apoptosis in RTAECs as evidenced by decreased expression of Bax and increased expression of Bcl-2. CONCLUSIONS Heat stress upregulates Bmal1 expression and causes alterations in expressions of cyclins to trigger apoptosis of rat thoracic aorta endothelial cells, which can be partly alleviated by suppressing Bmal1 expression.
Animals ; ARNTL Transcription Factors/genetics* ; Male ; Aorta, Thoracic/metabolism* ; Rats ; Rats, Sprague-Dawley ; Endothelial Cells/metabolism* ; Apoptosis ; Cells, Cultured ; Heat-Shock Response ; Cyclin B1/metabolism* ; CDC2 Protein Kinase/metabolism* ; Cyclins/metabolism* ; RNA, Small Interfering ; bcl-2-Associated X Protein/metabolism*

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

In the clinical stage, suspected hemolytic plasma may cause hemolysis illness, manifesting as symptoms such as heart failure, severe anemia, etc. Applying a deep learning method to plasma images significantly improves recognition accuracy, so that this paper proposes a plasma quality detection model based on improved "You Only Look Once" 5th version (YOLOv5). Then the model presented in this paper and the evaluation system ‌were introduced‌ into the plasma datasets, and ‌the average accuracy of the final classification reached 98.7%‌. The results of this paper's experiment were obtained through the combination of several key algorithm modules including‌ omni-dimensional dynamic convolution, pooling with separable kernel attention, residual bi-fusion feature pyramid network, ‌and‌ re-parameterization convolution. The method of this paper‌ obtains the feature information of spatial mapping efficiently, and enhances the average recognition accuracy of plasma quality detection. This paper presents a high-efficiency detection method for plasma images, aiming to provide a practical approach to prevent hemolysis illnesses caused by external factors.
Algorithms ; Humans ; Hemolysis ; Plasma ; Deep Learning ; Image Processing, Computer-Assisted/methods*

Objective To investigate the neuroprotective effect of Dendrobium nobile Lindl(DNL)extract in a Caenorhabditis elegans(C.elegans)model of Parkinson's disease(PD).Methods C.elegans NL5901 and 6-hydroxydopamine(6-OHDA)induced N2,BZ555,PD4521,and CB7272 C.elegans strains were treated with DNL 7.5,15,and 30 mg/L.The survival rate,basal slowing response rate,α-synuclein(α-syn)aggregation,dopaminergic neurons(DNs),mitochondrial distribution density of body wall muscle cells,and protein levels in the membrane were observed.In addition,reactive oxygen species(ROS),superoxide dismutase(SOD)and glutathione(GSH)in 6-OHDA induced N2 was detected to explore the effect of DNL on the antioxidative stress ability of PD C.elegans models.Results Compared with that in the model group,the DN fluorescence intensity was significantly increased in nematodes treated with DNL and levodopa(L-DOPA)(P＜0.05,P＜0.0001),α-syn aggregation was significantly decreased(P＜0.05,P＜0.001,P＜0.0001),the basal slowing rate(P＜0.05,P＜0.01,P＜0.001),mitochondrial density(P＜0.05,P＜0.01,P＜0.001),mitochondrial intima protein content(P＜0.05,P＜0.001,P＜0.0001),SOD content(P＜0.05),and GSH content were all increased.The ROS content was reduced in nematodes(P＜0.01).The lifespans of N2 wild-type and PD C.elegans models were prolonged after DNL treatment(P＜0.05,P＜0.01,P＜0.001).Conclusions DNL can effectively improve motor paralysis in a C.elegans PD model,improve DN degradation,inhibit α-syn aggregation and neuronal damage,increase the antioxidative stress ability,and slow the aging process in C.elegans.

This study aims to investigate the isolate and identify of infectious bronchitis virus(IBV)in chickens,and study its genetic variation and pathogenicity.In 2023,two strains named CK/CH/HN/SQ202301 and CK/CH/HN/SQ202302 were obtained from suspected infectious bronchitis(IB)infected materials collected in a region of Henan Province,China.Further analysis showed that the two isolates belong to the G Ⅰ-13 and GⅥ genotypes,respectively.The cleavage sites of S protein were all RRSRR.The prediction of glycosylation sites showed that the two isolates had 18 and 12 N-glycosylation sites respectively,but no O-glycosylation site.Recombinant analysis shows that C2023-1 was a recombinant strain.Pathogenicity was assessed by infecting 1-day-old SPF chicks with the two isolates,and the results showed that C2023-1 strain infection could cause clini-cal symptoms such as depression and head shaking,as well as death in chicks,with a mortality rate of 37.5％.There were no clinical symptoms or deaths after infection with C2023-2 strain.Viral load test results showed that both isolates continued to detoxify until the 10th day,and had strong rep-lication capacity in the kidney,trachea and bursa of Fabricius.The results indicate significant differences in the genetic characteristics and pathogenicity of the two isolates due to their different genotypes.This study not only provides new epidemiological data on IB,which contributes to a bet-ter understanding of IBV's epidemiological features and control challenges,but also adds valuable bioinformatics resources for IBV by analyzing its variation mechanisms and biological information.