Objective: Cervical cancer is the leading malignancy in terms of both incidence and mortality among cancers of the female reproductive system, and initial surgical treatment is still one of the main treatments. However, for many years, radical hysterectomy based on traditional anatomical principles has failed to substantially improve oncological outcomes for cervical cancer patients or reduce the incidence of perioperative complications. In recent years, radical surgery grounded in the membrane anatomy concept of embryonic development has demonstrated promising oncological outcomes in colorectal cancer surgery.
View Article and Find Full Text PDFBackground: Tibial plateau fracture is one of the common fractures in the lower limb, mostly caused by high-energy injuries, which may be accompanied by different degrees of compression and displacement of the joint surface, affecting the knee joint alignment, stability, and sports function, and improper treatment may cause various complications, which are a more difficult problem in the clinic. The objective of this study was to investigate the biomechanical mechanisms underlying effective closed reduction in the treatment of tibial plateau fractures, particularly focusing on the performance of the homeopathic double reverse traction repositor compared to traditional traction table methods.
Methods: We developed a biomechanical model to analyze the equilibrium mechanics during tibial plateau fracture reduction.
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by a novel tick-borne phlebitis virus of Bunyaviridae, newly named as Banda virus, characterized by high fever, thrombocytopenia, and leukopenia with high case fatality. Currently, no specific antiviral drugs are available to treat patients. Here, we report a natural lipid metabolite 25-Hydroxycholesterol (25HC) that inhibited SFTSV entry by activating the activity of acetyl-CoA-cholesterol acyltransferase (ACAT), a lipid metabolism enzyme, affecting the accessible cholesterol translocation between the cytoplasm and plasma membranes (PMs).
View Article and Find Full Text PDFIn this study, postimplantation human epiblast and amnion development are modeled using a stem cell-based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell masks, is generated from experimental data. A computational pipeline analyzes morphological and marker expression features, revealing key developmental processes such as tissue growth, cavity expansion, and cell differentiation.
View Article and Find Full Text PDFObjective: This study aims to investigate a newly modified approach to nerve-sparing radical hysterectomy.
Subjects And Methods: Pathological large-section staining of the entire paracolpium from specimens obtained after radical hysterectomy was performed to examine its structural composition and identify the course and distribution of the pelvic plexus and its branches. Based on the analysis of nerve pathways and locations, a total of 55 cases of modified nerve-sparing surgeries preserving pelvic autonomic function were conducted.
Liver metastasis is prevalent among patients with neuroendocrine prostate cancer (NEPC) and other types of neuroendocrine (NE) cancers, featuring with an aggressive clinical course and a dismal prognosis. However, the cellular and molecular mechanisms underlying liver-specific metastatic tropism in NE cancers remain poorly understood. Intriguingly, it is found that NEPC liver metastatic foci are frequently associated with thrombi.
View Article and Find Full Text PDFSensors (Basel)
April 2025
Active noise control (ANC) represents an efficient technology for enhancing the noise suppression performance and ensuring the stable operation of multi-sensor systems through generative model-enhanced data representation and dynamic information fusion across heterogeneous sensors due to the complexity of the real-world environment. To address problems caused by a nonlinear noise source, a novel adaptive neuro-fuzzy network controller is proposed for feedforward nonlinear ANC systems based on a variable step-size filtered-x least-mean-square (VSS-LMS) algorithm. Specifically, the LMS algorithm is first introduced to update the weight parameters of the controller based on the adaptive neuro-fuzzy network.
View Article and Find Full Text PDFInvest New Drugs
April 2025
Cancer immunotherapy has revolutionized tumor treatment. However, robust and effective testing platforms remain lacking, especially for the selection of the optimized therapy at the patient-specific level. Unlike conventional treatment evaluations, testing platforms for cancer immunotherapy must incorporate not only tumor cells but also the tumor microenvironment (TME), including immune components.
View Article and Find Full Text PDFThe spleen plays a critical role in the pathogenesis of leukemia. However, our understanding of the splenic niche is very limited. Herein, we report that induced expression of the secreted protein Gremlin 1 in a mouse model restrains chronic myeloid leukemia (CML) progression and synergizes with tyrosine kinase inhibitor treatment, whereas blockade of Gremlin 1 promotes CML development.
View Article and Find Full Text PDFTumor organoid-based drug sensitivity prediction is a new approach for precision medicine, which has wide applications in cancer treatment and attracts increasing attention. In the field of breast cancer, conventional organoid culture methods often require more than three weeks of culture period. The culture time greatly limits the further extension of the application scenarios of breast cancer organoids.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Active noise control (ANC) technology has extensive applications in suppressing sound pollution in the real-world environment. In this paper, a new adaptive neuro-fuzzy network (ANFN)-based controller is presented and integrated into hybrid active noise control (HANC) systems to improve the robustness and effectiveness of active noise suppression. Specifically, an adaptive neural network is constructed to minimize the mean square error information with respect to the residual noise.
View Article and Find Full Text PDFObjective: To explore the influencing factors of recurrence after surgical treatment for early-stage cervical cancer (stages IA1-IIA1) and to investigate the relationship between human papillomavirus (HPV) infection and postoperative recurrence of lesions.
Methods: A retrospective analysis was conducted on the clinical data of 242 patients who underwent surgical treatment for early-stage cervical cancer (FIGO stages IA1-IIA1) at the Second Affiliated Hospital of Dalian Medical University between 2015 and 2022. Cox regression analysis was employed to evaluate the relationship between persistent postoperative HPV infection and lesion vaginal local recurrence while identifying the associated risk factors for persistent HPV infection following surgery.
Medicine (Baltimore)
February 2025
This study selected genome-wide association study data from the FinnGen database and utilized a bidirectional 2-sample Mendelian randomization (MR) method to explore the causal association between varicose veins (VV) and atrial fibrillation (AF). Inverse variance weighted (IVW) was used as the primary analytical method to assess the causal relationship between VV and AF, supplemented by Weighted median, MR-Egger and Simple 1mode. Cochran's Q test, MR-Egger regression intercept and Mendelian randomization pleiotropy residual sum and outlier were used as sensitivity analyses to detect heterogeneity and multilevel pleiotropy.
View Article and Find Full Text PDFThis paper presents a P+Damping control with gravity compensation for bilateral teleoperation systems, where the effects of time delays can be effectively addressed, and the motion synchronization and the transparency can be guaranteed. To further eliminate the direct measurement of human and environmental torques to save sensor installation space and reduce the hardware cost, a constructive unknown torque estimator is also proposed by tailoring the idea of unknown system dynamics estimator (USDE). This torque estimator with low-pass filter operations eliminates the requirement of joint acceleration and has only one tuning parameter, while it enables accurate estimation of external torques of both the local and remote manipulators.
View Article and Find Full Text PDFSimulated microgravity (SMG) poses substantial challenges to astronaut health, particularly impacting osteoblast function and leading to disuse osteoporosis. This study investigates the adverse effects of SMG on osteoblasts, focusing on changes in mitochondrial dynamics and their consequent effects on cellular energy metabolism and mechanotransduction pathways. We discovered that SMG markedly reduced the expression of osteoblast differentiation markers and promoted mitochondrial fission, as indicated by an increase in punctate mitochondria, a decrease in mitochondrial length, and a reduction in cristae density.
View Article and Find Full Text PDFSerotonin (5-HT) is a neurotransmitter that has been linked to tumorigenesis. Whether and how 5-HT modulates cells in the microenvironment to regulate tumor metastasis is largely unknown. Here, we demonstrate that 5-HT was secreted by neuroendocrine prostate cancer (NEPC) cells to communicate with neutrophils and to induce the formation of neutrophil extracellular traps (NETs) in the liver, which in turn facilitated the recruitment of disseminated cancer cells and promoted liver metastasis.
View Article and Find Full Text PDFIn this paper, a novel recursive hierarchical parametric identification method based on initial value optimization is proposed for Wiener-Hammerstein systems subject to stochastic measurement noise. By transforming the traditional Wiener-Hammerstein system model into a generalized form, the system model parameters are uniquely expressed for estimation. To avoid cross-coupling between estimating block-oriented model parameters, a hierarchical identification algorithm is presented by dividing the parameter vector into two subvectors containing the coupled and uncoupled terms for estimation, respectively.
View Article and Find Full Text PDFThe smooth muscle cells (SMCs) located in the vascular media layer are continuously subjected to cyclic stretching perpendicular to the vessel wall and play a crucial role in vascular wall remodeling and blood pressure regulation. Mesenchymal stem cells (MSCs) are promising tools to differentiate into SMCs. Mechanical stretch loading offers an opportunity to guide the MSC-SMC differentiation and mechanical adaption for function regeneration of blood vessels.
View Article and Find Full Text PDFNat Commun
October 2024
IEEE Trans Neural Netw Learn Syst
July 2025
The exponential asynchronous stabilization (EAS) issue for a category of neural networks (NNs) with semi-Markov jump (SMJ) parameters and additive time-varying delays (ATDs) is addressed in this article. Here, the SMJ parameters in the controller gain are supposed to be distinct from those in the system structure, which is more consistent with the actual situation. To further relieve the communication load of the network, a new discrete adaptive event-triggered impulsive control (DAEIC) scheme is proposed, where the impulsive moments are the sampling instants satisfying event-triggered constraints, and the triggering threshold can be dynamically adjusted by an adaptive update rule (AUR) related to the current sampling state and the last triggered state.
View Article and Find Full Text PDFFeature extraction of rolling element bearings (REB) under variable-speed conditions is always one of the hot and difficult points in the field of fault diagnosis. Based on the encoder signal with the advantages of low noise, and direct correlation with machine dynamics, an optimized Savitzky-Golay and adaptive spectrum editing are proposed for REB feature extraction under low-speed and variable-speed conditions. Firstly, the estimated features of the instantaneous angular speed (IAS) and interference components are studied.
View Article and Find Full Text PDFExtracellular matrix (ECM) stiffness is a major driver of stem cell fate. However, the involvement of the three-dimensional (3D) genomic reorganization in response to ECM stiffness remains unclear. Here, we generated comprehensive 3D chromatin landscapes of mesenchymal stem cells (MSCs) exposed to various ECM stiffness.
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