ObjectiveTo investigate the correlation between iron metabolism parameters and various syndrome types of unstable angina pectoris （UAP）. MethodsA cross-sectional study was conducted from October 2021 to October 2023， encompassing 213 patients diagnosed with UAP at Xiyuan Hospital of Chinese Academy of Chinese Medical Sciences. Additionally， 30 healthy individuals were selected as control cases. Single-factor analysis was used to investigate the differences in clinical data among different Traditional Chinese Medicine （TCM） syndrome types of UAP and their correlation with iron metabolism indices. The study conducted a comparative analysis of the aforementioned clinical data among patients with and without heat-toxic and blood-stasis syndrome. Logistic regression was used to analyze the correlation between TCM syndrome types and related factors. The receiver operator characteristic （ROC） curve was employed to assess the predictive value of iron metabolism indices， along with their sensitivity and specificity. ResultsCompared to those in the control group， serum iron （SI） and serum ferritin （SF） levels were significantly increased in the UAP group （P<0.01）， while transferrin （TRF） and total iron binding capacity （TIBC） levels were decreased （P<0.01）. However， there was no significant difference in unsaturated iron binding capacity （UIBC）. Multivariate binary Logistic regression analysis identified apolipoprotein A1 （ApoA1）， homocysteine （HCY）， high-sensitivity C-reactive protein （hs-CRP）， and SF as independent influencing factors for the UAP patients （P<0.05， P<0.01）. Additionally， statistically significant differences were observed in SI， SF， TRF， and TIBC among 213 patients with different TCM types （P<0.01）. Patients with heat-toxic and blood-stasis syndrome had higher SI and SF values than those without the syndrome （P<0.01）， while their TIBC and TRF values were lower （P<0.01）. Multivariate binary logistic regression analysis showed that SI and LDL-C levels were closely associated with the differentiation of heat-toxic and blood-stasis syndrome. ConclusionUAP patients often experience iron metabolism disorders， and the heat-toxic and blood-stasis syndrome are significantly correlated with iron metabolism parameters. The SI and LDL-C levels have high specificity and sensitivity in diagnosing heat-toxic and blood-stasis syndrome.

To explore the feasibility of using UAV-LiDAR for measuring the leaf area index (LAI) of crop canopies, we employed UAV-LiDAR to scan sugarcane canopies during the tillering and elongation stages, acquiring canopy point cloud data. Subsequently, features such as average row height, projected row area, point cloud density at different canopy layers, and the ratios between these parameters were extracted. Three feature selection methods-partial least squares regression (PLSR), XGBoost feature importance (XGBoost-FI), and random forest-recursive feature elimination (RF-RFE)-were adopted to evaluate and identify the optimal input variables for modeling. With these selected variables, LAI inversion models were developed based on random forest (RF) and adaptive boosting (AdaBoost) algorithms, and their performance was assessed. Among the extracted features, the projected row area S_p and the total row point count C_total exhibited strong correlations with LAI, with correlation coefficients of 0.73 and 0.72, respectively. The AdaBoost-based LAI inversion model, using the projected row area S_p, average height H_avg, mid-layer point cloud density C_m, and total row point count C_total as input variables, achieved the best performance, with a coefficient of determination (R_v²) of 0.713 and a root mean square error (RMSE_v) of 0.25 on the validation set. This study provides an effective method for high-throughput acquisition of LAI in field crops, offering valuable scientific support for sugarcane field management and breeding efforts.
Plant Leaves/growth & development* ; Saccharum/growth & development* ; Algorithms ; Unmanned Aerial Devices ; Remote Sensing Technology/methods* ; Crops, Agricultural/growth & development*

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 the effects of Qingshen Granules(QSG)on adenine-induced renal fibrosis in mice and in uric acid(UA)-stimulated NRK-49F cells and its mechanism for regulating exosomes,miR-330-3p and CREBBP.Methods A mouse model of adenine-induced renal fibrosis were treated daily with QSG at 8.0 g·kg-1·d-1 via gavage for 12 weeks.An adeno-associated virus vector was injected into the tail vein,and renal tissues of the mice were collected for analyzing exosomal marker proteins CD9,Hsp70,and TSG101 and expressions of Col-Ⅲ,α-SMA,FN,and E-cad using Western blotting and immunofluorescence and for observing pathological changes using HE and Masson staining.In the cell experiment,NRK-49F cells were stimulated with uric acid(400 μmol/L)followed by treatment with QSG-medicated serum from SD rats,and the changes in expressions of the exosomal markers and Col-Ⅲ,α-SMA,FN,and E-cad were analyzed.Dual luciferase reporter assay was employed to examine the targeting relationship between miR-330-3p and CREBBP,whose expressions were detected by RT-qPCR and Western blotting in treated NRK-49F cells.Results The mouse models of adenine-induced renal fibrosis showed significantly increased levels of CD9,Hsp70,and TSG101,which were decreased by treatment with QSG.The expressions of Col-Ⅲ,α-SMA,and FN increased and E-cad decreased in the mouse models but these changes were reversed by QSG treatment.QSG treatment obviously alleviated renal fibrosis in the mouse models.Intravenous injection of adeno-associated viral vector obviously inhibited miR-330-3p,increased CREBBP levels,and reduced fibrosis in the mouse models.Dual luciferase assay confirmed CREBBP as a target of miR-330-3p,which was consistent with the results of the cell experiments.Conclusion QSG inhibits renal fibrosis in mice by regulating the exosomes,reducing miR-330-3p levels,and increasing CREBBP expression.

Objective To explore the effects of Qingshen Granules(QSG)on adenine-induced renal fibrosis in mice and in uric acid(UA)-stimulated NRK-49F cells and its mechanism for regulating exosomes,miR-330-3p and CREBBP.Methods A mouse model of adenine-induced renal fibrosis were treated daily with QSG at 8.0 g·kg-1·d-1 via gavage for 12 weeks.An adeno-associated virus vector was injected into the tail vein,and renal tissues of the mice were collected for analyzing exosomal marker proteins CD9,Hsp70,and TSG101 and expressions of Col-Ⅲ,α-SMA,FN,and E-cad using Western blotting and immunofluorescence and for observing pathological changes using HE and Masson staining.In the cell experiment,NRK-49F cells were stimulated with uric acid(400 μmol/L)followed by treatment with QSG-medicated serum from SD rats,and the changes in expressions of the exosomal markers and Col-Ⅲ,α-SMA,FN,and E-cad were analyzed.Dual luciferase reporter assay was employed to examine the targeting relationship between miR-330-3p and CREBBP,whose expressions were detected by RT-qPCR and Western blotting in treated NRK-49F cells.Results The mouse models of adenine-induced renal fibrosis showed significantly increased levels of CD9,Hsp70,and TSG101,which were decreased by treatment with QSG.The expressions of Col-Ⅲ,α-SMA,and FN increased and E-cad decreased in the mouse models but these changes were reversed by QSG treatment.QSG treatment obviously alleviated renal fibrosis in the mouse models.Intravenous injection of adeno-associated viral vector obviously inhibited miR-330-3p,increased CREBBP levels,and reduced fibrosis in the mouse models.Dual luciferase assay confirmed CREBBP as a target of miR-330-3p,which was consistent with the results of the cell experiments.Conclusion QSG inhibits renal fibrosis in mice by regulating the exosomes,reducing miR-330-3p levels,and increasing CREBBP expression.

Insomnia disorder is a common clinical mental disorder.Currently, clinical subtyping of insomnia disorder relies primarily on symptomatic descriptions, lacking objective measures and subtyping-based treatment approaches. In recent years, increasing attention has been drawn to sleep electroencephalography (EEG) as a valuable tool for observing abnormal sleep architecture and continuity of insomnia disorder. Sleep EEG analysis holds the potential to elucidate the underlying biological mechanisms of insomnia disorder, facilitating data-driven subtyping and enhancing personalized therapeutic strategies.Five types of sleep EEG subtypes of insomnia disorder were systematically searched and summarized: classifications derived from objective sleep duration, power spectral characteristics, cyclic alternating pattern, spindle and microarousal.EEG characteristics of each subtype and clinical outcomes are discussed.This review aims to provide evidence-based insights for clinical subtyping and personalized treatment of insomnia disorder.

Objective:To retrospectively analyze the treatment status of tyrosine kinase inhibitors (TKI) in newly diagnosed patients with chronic myeloid leukemia (CML) in China.Methods:Data of chronic phase (CP) and accelerated phase (AP) CML patients diagnosed from January 2006 to December 2022 from 77 centers, ≥18 years old, and receiving initial imatinib, nilotinib, dasatinib or flumatinib-therapy within 6 months after diagnosis in China with complete data were retrospectively interrogated. The choice of initial TKI, current TKI medications, treatment switch and reasons, treatment responses and outcomes as well as the variables associated with them were analyzed.Results:6 893 patients in CP ( n=6 453, 93.6%) or AP ( n=440, 6.4%) receiving initial imatinib ( n=4 906, 71.2%), nilotinib ( n=1 157, 16.8%), dasatinib ( n=298, 4.3%) or flumatinib ( n=532, 7.2%) -therapy. With the median follow-up of 43 ( IQR 22-75) months, 1 581 (22.9%) patients switched TKI due to resistance ( n=1 055, 15.3%), intolerance ( n=248, 3.6%), pursuit of better efficacy ( n=168, 2.4%), economic or other reasons ( n=110, 1.6%). The frequency of switching TKI in AP patients was significantly-higher than that in CP patients (44.1% vs 21.5%, P<0.001), and more AP patients switched TKI due to resistance than CP patients (75.3% vs 66.1%, P=0.011). Multi-variable analyses showed that male, lower HGB concentration and ELTS intermediate/high-risk cohort were associated with lower cytogenetic and molecular responses rate and poor outcomes in CP patients; higher WBC count and initial the second-generation TKI treatment, the higher response rates; Ph + ACA at diagnosis, poor PFS. However, Sokal intermediate/high-risk cohort was only significantly-associated with lower CCyR and MMR rates and the poor PFS. Lower HGB concentration and larger spleen size were significantly-associated with the lower cytogenetic and molecular response rates in AP patients; initial the second-generation TKI treatment, the higher treatment response rates; lower PLT count, higher blasts and Ph + ACA, poorer TFS; Ph + ACA, poorer OS. Conclusion:At present, the vast majority of newly-diagnosed CML-CP or AP patients could benefit from TKI treatment in the long term with the good treatment responses and survival outcomes.

Paradoxical insomnia(Para-I),also known as pseudoinsomnia or sleep state misperception,is a condition in which the patient complains of severe insomnia but has no objective evidence of sleep disorder,and daytime functioning may be disrupted disproportionately to the degree of patient-reported sleep loss.Para-I is characterized by overestimation of sleep latency(SL)and underestimation of total sleep time(TST).Incorrect assessment of sleep quality hinders the diagnosis,evaluation of severity,and assessment of clinical efficacy of sleep disorders.The pathogenesis of Para-I remains unclear,but may be related to factors such as depression,anxiety,personality traits,social relationships and specific changes in brain structure and function.Studies on the polysomnography(PSG)of the patients with insomnia have found that changes in non-rapid eye movement(NREM)and rapid eye movement(REM)sleep may be related to the degree of subjective-objective sleep discrepancy.PSG is a valuable diagnostic tool for sleep disorders.It allows for the analysis of sleep structure and related physiological and behavioral changes by monitoring various parameters,including electroencephalogram(EEG),electromyogram(EMG),electrooculogram(EOG),oro-nasal airflow,thoracic and abdominal respiratory motions,oxygen saturation,electrocardiogram(ECG)and snoring.In recent years,studies have increasingly explored the sleep EEG and treatment of Para-I with PSG,resulting in significant progress.This article reviews the latest advances in the electroencephalographic characteristics and treatment of Para-I,providing new ideas for precise treatment.

Objective:To evaluate the safety and efficacy of the domestic robotic surgical system for general surgery.Methods:A prospective single-center, single-arm exploratory study was conducted at Gansu Provincial People's Hospital from Jun 2022 to Oct 2023, enrolling 54 patients undergoing general surgery using domestically produced Toumai? Endoscopic Surgical Robotic System. The primary study endpoint was surgical success rate, and the secondary study endpoints were intraoperative bleeding, operative time, complications, system performance, hospitalization days.Results:In this study, robotic surgery was successfully completed in 52 patients, and in 2 patients undergoing thyroid operation it was converted to open surgery due to bleeding, with a success rate of 96%, no organ injury or death during surgery, and no system failure. The types of surgery included cholecystectomy, radical gastric cancer resection, radical colorectal cancer resection, inguinal hernia repair, partial hepatectomy, total thyroidectomy and choledocho-jejunal anastomosis.Conclusion:The study provides preliminary evidence of the safety and efficacy of the Toumai? Endoscopic Surgical Robotic System for the treatment of general surgical diseases.

Objective:To investigate the relationship between carotid atherosclerosis(CAS)and subclinical left ventricular(LV)dysfunction in type 2 diabetes mellitus patients with preserved LV ejection fraction(LVEF).Methods:A total of 120 patients with type 2 diabetes mellitus who had LVEF≥50% were selected in the Department of Endocrinology, the First Affiliated Hospital of Air Force Medical University from June 2021 to October 2021. The global longitudinal strain(GLS)was obtained by two-dimensional speckle tracking echocardiography(STE)to assess subclinical LV systolic function. The mitral ratio of peak early to late diastolic filling velocity(E/A), and mitral velocity to early diastolic velocity of the mitral annulus(E/E′)ratio were obtained by pulsed tissue Doppler echocardiography to assess LV diastolic function. Acrroding to bilateral carotid ultrasound examination, the subjects were divided into normal carotid arteries group( n=46) and CAS group( n=74). Demographics and biochemical parameters were compared between two groups. Binary logistic regression and Pearson correlation analysis were used to evaluate the relationship between CAS and subclinical LV dysfunction. Results:The CAS group had a higher proportion of men, older age, and a longer duration of diabetes than the normal carotid arteries group(all P<0.05). There was no difference in LVEF and GLS between the two groups [normal carotid arteries group vs CAS group, LVEF: (60.72±4.73)% vs(60.07±4.28)%; GLS: (18.24±3.72)% vs(17.81±3.47)%, respectively; both P>0.05]. However, compared with normal carotid arteries group, E/A ratio was decreased and E/E′ ratio was significantly increased in CAS group(both P<0.01). Pearson correlation analysis showed that GLS was not correlated with carotid plaque thickness and carotid intima-media thickness(CIMT; both P>0.05). By contrast, E/E′ ratio was positively correlated with carotid plaque thickness and CIMT(both P<0.05). Binary logistic regression analysis showed that GLS and E/E′ ratio were not associated with CAS( both P>0.05). However, decreased E/A ratio was significantly associated with the existence of CAS( OR=0.09, 95% CI 0.01-0.67, P=0.018). Conclusions:In type 2 diabetes mellitus patients without overt heart failure and with preserved LVEF, the occurrence of CAS is not associated with subclinical LV systolic impairment assessed by GLS, but is significantly associated with LV diastolic dysfunction, and is independent of traditional cardiovascular risk factors.