The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

Objective By exploring changes of six degrees of freedom(6DOF)kinematics of the knee joint during extra weight bearing of the body trunk,the influence of extra weight on knee joint movement patterns was studied.Methods A total of 24 healthy subjects were recruited to walk/run on a treadmill at four speeds under two states:self-weight and wearing a 16 kg vest,and gait analysis was conducted.A three-dimensional(3D)portable knee kinematics analysis system based on infrared stereophotography was used to capture 6DOF movement trajectory data of the tibia relative to the femur.Results Compared to the self-weight state,when additional trunk weight was added,the knee external rotation angle was reduced at 3.6 km/h speed(1.4°-2.1°)and 5.4 km/h speed(2.2°-2.7°);the knee internal rotation angle was reduced at 10.8 km/h speed(2.1°-4.2°);the knee flexion angles was increased significantly at the speed of 3.6 km/h(1.5°-1.8°),9 km/h(1.6°-3.3°)和 10.8 km/h(1.9°-3.1°);the knee adduction angle increased at 5.4 km/h speed(0.5°-0.6°),and decreased at 10.8 km/h speed(0.9°-1.3°).At 10.8 km/h speed,the distal knee displacement(0.2-0.4 mm)was increased,and the lateral knee displacement(0.1-0.2 mm),and anterior knee displacement(0.2-0.3 mm)were significantly reduced.Conclusions The 6DOF kinematics of human knee is significantly affected by the extra trunk weight.Performance is also different at lower and higher speeds.It is suggested that there may exist a hidden injury in military training,and this study provides a kinematic basis for the occurrence of sports injury.

Objective By exploring changes of six degrees of freedom(6DOF)kinematics of the knee joint during extra weight bearing of the body trunk,the influence of extra weight on knee joint movement patterns was studied.Methods A total of 24 healthy subjects were recruited to walk/run on a treadmill at four speeds under two states:self-weight and wearing a 16 kg vest,and gait analysis was conducted.A three-dimensional(3D)portable knee kinematics analysis system based on infrared stereophotography was used to capture 6DOF movement trajectory data of the tibia relative to the femur.Results Compared to the self-weight state,when additional trunk weight was added,the knee external rotation angle was reduced at 3.6 km/h speed(1.4°-2.1°)and 5.4 km/h speed(2.2°-2.7°);the knee internal rotation angle was reduced at 10.8 km/h speed(2.1°-4.2°);the knee flexion angles was increased significantly at the speed of 3.6 km/h(1.5°-1.8°),9 km/h(1.6°-3.3°)和 10.8 km/h(1.9°-3.1°);the knee adduction angle increased at 5.4 km/h speed(0.5°-0.6°),and decreased at 10.8 km/h speed(0.9°-1.3°).At 10.8 km/h speed,the distal knee displacement(0.2-0.4 mm)was increased,and the lateral knee displacement(0.1-0.2 mm),and anterior knee displacement(0.2-0.3 mm)were significantly reduced.Conclusions The 6DOF kinematics of human knee is significantly affected by the extra trunk weight.Performance is also different at lower and higher speeds.It is suggested that there may exist a hidden injury in military training,and this study provides a kinematic basis for the occurrence of sports injury.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

Objective Explore the comprehensive emotion adjustment pattern that combines non-contact physiological and psychological detection methods in fasting and low metabolism scenarios.This study aims to verify the accuracy of non-contact physiological and psychological detection algorithms and evaluate the effectiveness of multimodal emotion adjustment schemes for addressing negative emotional states such as depression and anxiety.Methods Deploy non-contact physiological and psychological detection algorithms and emotion adjustment plans to build a multimodal emotion adjustment system.Collect physiological and psychological data from volunteers participating in the 15-days complete fasting human low metabolism experiment of"Green Star Travel Ⅷ".Utilize finger clip oximeters and scales to verify the accuracy of existing non-contact physiological and psychological methods within the system.Design an emotion adjustment experiment featuring four groups:sound adjustment,acupoints adjustment,magnetism adjustment,and combination adjustment.Compare the volunteers'scale scores before and after the adjustments to verify the effectiveness of the system's emotion adjustment capabilities.Results The experimental results demonstrate that the average difference in the Bland-Altman plot for the non-contact heart rate detection model is ﹣0.497 bpm,with 95.3%of the error values falling within the 95%consistency interval.The non-contact psychological detection model achieved an accuracy rate of over 80%in identifying stress,anxiety,and depression,and an accuracy rate of over 70%in identifying fatigue and anger.Following emotion adjustment,the stress levels of the subjects significantly improved(P?

Objective To analyze the risk factors of prognosis in elderly patients with septic shock in ICU.Methods Clinical data of 113 elderly patients with septic shock admitted in the ICU of Ningbo Medical Center Lihuili Eastern Hospital from November 2015 to March 2019 were retrospectively analyzed. Among them, 40 patients died ( death group) and 73 patients survived (survival group) within 28 d after diagnosis confirmed.The general information ,underlying disease,laboratory findings and invasive operations were compared between the two groups.Multivariate Logistic regression was used to analyze the risk factors for prognosis of patients, and ROC curve was used to analyze the predictive value of risk factors for death . Results Multivariate Logistic regression analysis showed that APACHEII score ( OR ＝1.344, 95%CI 1畅187-1.520,P＜0.01) and lactic acid level at admission (OR＝1.311,95%CI 1.075-1.599,P＜0.01) were independent risk factors for prognosis ,while platelet counts (OR＝0.986,95%CI 0.976-0.996,P＜0畅01)and albumin level(OR＝0.812,95%CI 0.697-0.945,P＜0.01)were protective factors for prognosis. ROC curve analysis showed that the area under the curve of APACHEII score ,lactic acid level at admission and APACHEII score combined with lactic acid level at admission were 0.861(95%CI 0.784-0畅919,P＜0畅01),0.752(95%CI 0.662-0.828,P＜0.01) and 0.904(95%CI 0.834-0.951,P＜0.01),respectively. The predictive value of APACHEII score combined with lactic acid level at admission was better than those of APACHEII score and lactic acid level at admission ( Z ＝2.175 and 2.879, P ＜0.05 and P ＜0畅01). Conclusions Lower APACHEII score and lactic acid level ,increased platelet counts and albumin level may be associated with a favorable prognosis for elderly patients with septic shock .APACHEII score combined with lactic acid level at admission has better predictive value for prognosis .

[ABSTRACT]AIM:ToobservehowfarnesoidXreceptor(FXR)functionedinconcanavalinA(ConA)-induced hepatitis (CIH) and the regulation of FXR-thyrotropin embryonic factor (TEF) pathway.METHODS:C57BL/6 mice were injected with Con A to induce hepatitis .The expression of FXR and TEF in the liver specimens was determined by qRT-PCR and Western blotting .The concentrations of serum ALT/AST and inflammatory cytokines IFN-γ, TNF-α, IL-4 and IL-2 in the blood samples were tested after Con A injection .RESULTS:FXR was down-regulated in CIH mice .TEF was up-regula-ted when FXR was activated by chenodeoxycholic acid (CDCA).Activation of FXR reduced the levels of aminotransferases and inflammatory cytokines IFN-γ, TNF-α, IL-4 and IL-2 in the CIH mice induced by Con A injection .CONCLUSION:FXR activation attenuates CIH mouse liver injury and reduces inflammatory cytokines .FXR activation results in TEF up-regu-lation.The FXR-TEF pathway may play a protective role in autoimmune hepatitis .