Min Wu
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View article: An NTS-expressing inhibitory circuit from interpeduncular nucleus to dorsal raphe nucleus controls pain and comorbid depression in male mice
An NTS-expressing inhibitory circuit from interpeduncular nucleus to dorsal raphe nucleus controls pain and comorbid depression in male mice Open
Chronic pain often co-occurs with depression; however, the underlying neural mechanisms remain unclear. This study explored a specific inhibitory pathway-interpeduncular nucleus (IPN) neurotensin (NTS)-expressing neurons projecting to the …
View article: Switching Prediction of Sliding and Rotating Modes in Compound Directional Drilling Based on Sliding Window
Switching Prediction of Sliding and Rotating Modes in Compound Directional Drilling Based on Sliding Window Open
Compound directional drilling consists of sliding and rotating modes. The two modes alternate to achieve trajectory extension, where the sliding mode achieves trajectory deviation and the rotating mode maintains the trajectory. When to swi…
View article: A Short-Term Load Forecasting Method Based on a Hybrid Model for Industrial Boiler Generator Sets
A Short-Term Load Forecasting Method Based on a Hybrid Model for Industrial Boiler Generator Sets Open
Accurately predicting load variations is crucial for improving the energy efficiency and operational stability of industrial boiler generator sets. However, the current load scheduling of industrial boiler power plants heavily relies on ma…
View article: ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking Open
Vision-language tracking aims to locate the target object in the video sequence using a template patch and a language description provided in the initial frame. To achieve robust tracking, especially in complex long-term scenarios that ref…
View article: Prediction of Rate of Penetration in Drilling Process with Bayesian-Optimized Gaussian Process Regression
Prediction of Rate of Penetration in Drilling Process with Bayesian-Optimized Gaussian Process Regression Open
Predicting the rate of penetration (ROP) is essential for improving drilling efficiency by optimizing the operational parameters. Accurate ROP prediction facilitates better decision-making, reduces drilling costs, and helps obtain optimal …
View article: Single Neuron PID-Based Heave Compensation Control for Drill String System in Oceanic Drilling
Single Neuron PID-Based Heave Compensation Control for Drill String System in Oceanic Drilling Open
During offshore exploration operations, vessels experience six degrees of freedom motion due to wind, waves, and currents. Among these motions, heave is particularly challenging to compensate for and significantly impacts the drilling proc…
View article: CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Open
Effectively modeling and utilizing spatiotemporal features from RGB and other modalities (\eg, depth, thermal, and event data, denoted as X) is the core of RGB-X tracker design. Existing methods often employ two parallel branches to separa…
View article: TRIM22 governs tumorigenesis and protects against endometrial cancer-associated cachexia by inhibiting inflammatory response and adipose thermogenic activity
TRIM22 governs tumorigenesis and protects against endometrial cancer-associated cachexia by inhibiting inflammatory response and adipose thermogenic activity Open
Our data reveals that TRIM22-EC-IL-6-cachexia cross-communication has important clinical relevance and that the use of combined therapy holds great promise for enhancing the efficacy of anti-ECs. (Fig. graphical abstract).
View article: Research on the Establishment of "Post-Course- Competition-Certificate" School-enterprise Cooperation Community for Hotel Management Majors in Chinese Higher Vocational Colleges
Research on the Establishment of "Post-Course- Competition-Certificate" School-enterprise Cooperation Community for Hotel Management Majors in Chinese Higher Vocational Colleges Open
In 2018, the Ministry of Culture and the National Tourism Administration merged to form the Ministry of Culture and Tourism, marking that the integrated development of Chinese cultural and tourism has entered a period of rapid development.…
View article: A robust economic dispatch method for coordinating inter-provincial and intra-provincial markets based on an inexact column-and-constraint generation method
A robust economic dispatch method for coordinating inter-provincial and intra-provincial markets based on an inexact column-and-constraint generation method Open
This paper addresses challenges in economic dispatch for multi-regional electricity markets, including low transmission efficiency, high rescheduling costs, and computational complexity. To mitigate these issues, a two-stage robust optimiz…
View article: Research on the Qualifications of Employee Directors under the New Companies Law
Research on the Qualifications of Employee Directors under the New Companies Law Open
The new Companies Law, which came into effect in July 2024, adjusted the rules for the establishment of employee directors of limited liability companies and expanded the scope of application of employee directors. On the premise that the …
View article: Optimizing load frequency control in isolated island city microgrids: a deep graph reinforcement learning approach with data enhancement across extensive scenarios
Optimizing load frequency control in isolated island city microgrids: a deep graph reinforcement learning approach with data enhancement across extensive scenarios Open
This study presents a Data-Enhanced Optimum Load Frequency Control (DEO-LFC) strategy for microgrids, targeting an optimal balance between generation costs and frequency stability amidst high renewable energy integration. By replacing trad…
View article: A numerical method using Legendre polynomials for solving two-point interface problems
A numerical method using Legendre polynomials for solving two-point interface problems Open
This paper presents a novel numerical algorithm that integrates reproducing kernel functions with Legendre polynomials to effectively address multiple interface problems. We create a new set of bases within the reproducing kernel space, in…
View article: Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines
Design of an Intelligent Control System for Compound Directional Drilling in Underground Coal Mines Open
The compound directional drilling process, including slip and rotation, is the key to realizing long-hole drilling in coal mines. First, a compound directional drilling process control scheme is proposed to realize intelligent control of t…
View article: CRF08_BC subtype is more prone to ART failure and new-generation NNRTI-resistance under long-term first-line ART
CRF08_BC subtype is more prone to ART failure and new-generation NNRTI-resistance under long-term first-line ART Open
The present study provides valuable insights into the profile of DRMs and resistance patterns in patients with CRF07_BC and CRF08_BC experiencing treatment failure in Butuo. These findings have the potential to contribute to future strateg…
View article: Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process
Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process Open
The pre-chamber pressure is an important control parameter that affects the coke dry quenching process. It often fluctuates violently and is detrimental for the safe operation of the coke dry quenching process. This study proposes an intel…
View article: MES-CTNet: A Novel Capsule Transformer Network Base on a Multi-Domain Feature Map for Electroencephalogram-Based Emotion Recognition
MES-CTNet: A Novel Capsule Transformer Network Base on a Multi-Domain Feature Map for Electroencephalogram-Based Emotion Recognition Open
Emotion recognition using the electroencephalogram (EEG) has garnered significant attention within the realm of human–computer interaction due to the wealth of genuine emotional data stored in EEG signals. However, traditional emotion reco…
View article: Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals
Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals Open
Supervised classification algorithms for processing epileptic EEG signals rely heavily on the label information of the data, and existing supervised methods cannot effectively solve the problem of analyzing unlabeled epileptic EEG signals.…
View article: Recursive State Estimation for Discrete-Time Nonlinear Systems With Binary Sensors: A Locally Minimized Variance Approach
Recursive State Estimation for Discrete-Time Nonlinear Systems With Binary Sensors: A Locally Minimized Variance Approach Open
In this paper, the locally-minimized-variance state estimation problem is investigated for a class of discrete-time nonlinear systems with Lipschitz nonlinearities and binary sensors. The output of each binary sensor takes two possible val…
View article: Deep Reinforcement Learning for Load Frequency Control in Isolated Microgrids: A Knowledge Aggregation Approach with Emphasis on Power Symmetry and Balance
Deep Reinforcement Learning for Load Frequency Control in Isolated Microgrids: A Knowledge Aggregation Approach with Emphasis on Power Symmetry and Balance Open
To address the issues of instability and inefficiency that the fluctuating and uncertain characteristics of renewable energy sources impose on low-carbon microgrids, this research introduces a novel Knowledge-Data-Driven Load Frequency Con…
View article: Unlimited Knowledge Distillation for Action Recognition in the Dark
Unlimited Knowledge Distillation for Action Recognition in the Dark Open
Dark videos often lose essential information, which causes the knowledge learned by networks is not enough to accurately recognize actions. Existing knowledge assembling methods require massive GPU memory to distill the knowledge from mult…
View article: Cloud-Edge Cooperative Control System in Continuous Annealing Processes
Cloud-Edge Cooperative Control System in Continuous Annealing Processes Open
This study proposes a cloud-edge collaboration framework for temperature regulation in continuous annealing processes. A multiobjective optimization is formulated by ensuring the control accuracy of the temperature to reduce energy consump…
View article: Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace
Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace Open
The operating conditions influence the stability and consumption of a blast furnace. Recognizing these conditions makes changing the burden distribution parameters more efficient. The cooling stave temperature (CST) is a crucial state para…
View article: Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model
Multimodal Facial Emotion Recognition Using Improved Convolution Neural Networks Model Open
In the quest for human-robot interaction (HRI), leading to the development of emotion recognition, learning, and analysis capabilities, robotics plays a significant role in human perception, attention, decision-making, and social communica…
View article: Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact
Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact Open
During the drilling process, horizontal drill strings are often subject to stick-slip and back-pressure phenomena, which undermine drilling safety and affect drilling costs. However, most of the models proposed in the existing literature a…