Neuro-Fuzzy Network-Based Nonlinear Hybrid Active Noise Control Systems.

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.

Surgical procedures and techniques in robot-assisted retrograde para-aortic lymphadenectomy.

Background: To study the robotic-assisted abdominal aorta lymphadenectomy at the level of the left renal vein, aimed at standardizing and optimizing the surgical procedure.

Methods: All surgical procedures are guided by the theory of membrane anatomy, operating within the intermembrane spaces of embryonic compartments.

Results: Using robotic assistance in an inverted position to perform lymphadenectomy of the abdominal aorta at the level of the left renal vein enables safe and reliable lymph node removal, combined with the concept of membrane anatomy, not only minimizes surgical bleeding but also helps reduce complications, such as vascular and intestinal injuries.

Investigating the impact of persistent HPV infection on recurrence of lesions post-surgery for early-stage cervical cancer and related influencing factors.

Objective: 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.

Causal association between varicose veins and atrial fibrillation: A 2-sample bidirectional Mendelian randomization study.

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.

External torque estimation based P+Damping control for bilateral teleoperation systems.

This 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.

Inhibition of Mitochondrial Fission Reverses Simulated Microgravity-Induced Osteoblast Dysfunction by Enhancing Mechanotransduction and Epigenetic Modification.

Simulated 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.

5-HT orchestrates Histone Serotonylation and Citrullination to Drive Neutrophil Extracellular Traps and Liver Metastasis.

Serotonin (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 remains to be largely unknown. Here, we demonstrate that 5-HT is secreted by neuroendocrine prostate cancer (NEPC) cells to communicate with neutrophils and to induce neutrophil extracellular traps (NETs) in the liver, which in turn facilitates the recruitment of disseminated cancer cells and promotes liver metastasis.

Recursive hierarchical parametric identification of Wiener-Hammerstein systems based on initial value optimization.

In 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.

In vitro stretch modulates mitochondrial dynamics and energy metabolism to induce smooth muscle differentiation in mesenchymal stem cells.

The 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.

Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC.

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.

Encoder signal-based optimized Savitzky-Golay and adaptive spectrum editing for feature extraction of rolling element bearing under low-speed and variable-speed conditions.

Feature 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.

Stiff extracellular matrix drives the differentiation of mesenchymal stem cells toward osteogenesis by the multiscale 3D genome reorganization.

Extracellular 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.

Surgical procedures and techniques in robot-assisted uterine artery-preserving radical trachelectomy.

The aim of the study was to study robotic cervical radical trachelectomy, aimed at standardizing and optimizing surgical procedures, thereby facilitating the learning process. All surgical procedures were based on the anatomy of the embryonic compartments, which not only help prevent tumor spillage due to disruption of the embryonic compartments, but also maximize the avoidance of inadequate resection margins. Using robotics to perform radical trachelectomy, combined with the concept of membrane anatomy, not only enables a bloodless surgical process, but also streamlines and simplifies the procedure, making it more efficient and precise.

Zeb1-controlled metabolic plasticity enables remodeling of chromatin accessibility in the development of neuroendocrine prostate cancer.

Cell plasticity has been found to play a critical role in tumor progression and therapy resistance. However, our understanding of the characteristics and markers of plastic cellular states during cancer cell lineage transition remains limited. In this study, multi-omics analyses show that prostate cancer cells undergo an intermediate state marked by Zeb1 expression with epithelial-mesenchymal transition (EMT), stemness, and neuroendocrine features during the development of neuroendocrine prostate cancer (NEPC).

Evidence for causal effects of neuropsychiatric conditions on risk of venous thromboembolism: A univariable and multivariable Mendelian randomization study.

Background: Substantial observational evidence suggests an association between neuropsychiatric conditions and venous thromboembolism (VTE). However, the causal relationship between these two conditions requires further investigation. Therefore, we used a two-sample Mendelian randomization (MR) approach to assess the bidirectional causal effects between four neuropsychiatric conditions and VTE, deep vein thrombosis, and pulmonary embolism (PE).

Early Predicting Osteogenic Differentiation of Mesenchymal Stem Cells Based on Deep Learning Within One Day.

Osteogenic differentiation of mesenchymal stem cells (MSCs) is proposed to be critical for bone tissue engineering and regenerative medicine. However, the current approach for evaluating osteogenic differentiation mainly involves immunohistochemical staining of specific markers which often can be detected at day 5-7 of osteogenic inducing. Deep learning (DL) is a significant technology for realizing artificial intelligence (AI).

Mechanical memory based on chromatin and metabolism remodeling promotes proliferation and smooth muscle differentiation in mesenchymal stem cells.

Stem cells respond and remember mechanical cues from the microenvironment, which modulates their therapeutic effects. Chromatin organization and energy metabolism regulate the stem cell fate induced by mechanical cues. However, the mechanism of mechanical memory is still unclear.

Effects of predictive nursing interventions on pressure ulcer in older bedridden patients: A meta-analysis.

To evaluate the effect of predictive nursing interventions on pressure ulcers in elderly bedridden patients by meta-analysis. Applied computer searches of PubMed, Embase, Google Scholar, Cochrane Library, China National Knowledge Infrastructure and Wanfang databases for randomised controlled trials (RCTs) on the effect of predictive nursing in preventing pressure ulcers in elderly bedridden patients from the database inception to November 2023. Two researchers independently screened the literature, extracted data and performed quality assessment based on inclusion and exclusion criteria.

Extracellular matrix stiffness as an energy metabolism regulator drives osteogenic differentiation in mesenchymal stem cells.

The biophysical factors of biomaterials such as their stiffness regulate stem cell differentiation. Energy metabolism has been revealed an essential role in stem cell lineage commitment. However, whether and how extracellular matrix (ECM) stiffness regulates energy metabolism to determine stem cell differentiation is less known.

ADORA2A-driven proline synthesis triggers epigenetic reprogramming in neuroendocrine prostate and lung cancers.

Cell lineage plasticity is one of the major causes for the failure of targeted therapies in various cancers. However, the driver and actionable drug targets in promoting cancer cell lineage plasticity are scarcely identified. Here, we found that a G protein-coupled receptor, ADORA2A, is specifically upregulated during neuroendocrine differentiation, a common form of lineage plasticity in prostate cancer and lung cancer following targeted therapies.

The ELAVL3/MYCN positive feedback loop provides a therapeutic target for neuroendocrine prostate cancer.

Neuroendocrine prostate cancer is a rapidly progressive and lethal disease characterized by early visceral metastasis, poor prognosis, and limited treatment options. Uncovering the oncogenic mechanisms could lead to the discovery of potential therapeutic avenues. Here, we demonstrate that the RNA-binding protein ELAVL3 is specifically upregulated in neuroendocrine prostate cancer and that overexpression of ELAVL3 alone is sufficient to induce the neuroendocrine phenotype in prostate adenocarcinoma.

Adaptive neural identification and non-singular control of pure-feedback nonlinear systems.

This paper proposes a new constructive identification and adaptive control method for nonlinear pure-feedback systems, which remedies the 'explosion of complexity' and potential control singularity encountered in the traditional adaptive backstepping controllers. First, to avoid using the backstepping recursive design, alternative state variables and the corresponding coordinate transformation are introduced to reformulate the pure-feedback system into an equivalent canonical model. Then, a high-order sliding mode (HOSM) observer is used to reconstruct the unknown states for this canonical model.