Results 41 to 50 of about 102,383 (223)

Dissecting Pirtobrutinib Resistance in Mantle Cell Lymphoma Through Single‐Cell Multi‐Omics

American Journal of Hematology, EarlyView.
ABSTRACT Pirtobrutinib (PBN), a non‐covalent BTK inhibitor, has been approved by the FDA for relapsed/refractory mantle cell lymphoma (MCL); however, resistance to PBN has been observed. To dissect the molecular dynamics driving PBN resistance, we performed integrative single‐cell multi‐omic profiling (scRNA‐seq, scATAC‐seq, and scDNA‐seq) on ...
Fangfang Yan, Yang Liu, Heng‐Huan Lee, Wei Wang, Joseph McIntosh, Yijing Li, Jovanny Vargas, Yue Fei, Sairah Ahmed, Lukas M. Simon, Michael Wang   +10 more
wiley   +1 more source

Observer-Based Asynchronous Guaranteed Cost Control of 2-D Markov Jump Roesser Systems With Nonideal Transition Probabilities

IEEE Access
This paper mainly investigates the asynchronous observer-based guaranteed cost control problem for two-dimensional Markov jump Roesser systems with nonideal transition probabilities.
Jiazheng Liu, Yang Yang, Yaru Song
doaj   +1 more source

A Rare RIPK3 Variant Enhances Necroptosis and Promotes Inflammation in a Still Disease–Like Autoinflammatory Syndrome

Arthritis &Rheumatology, EarlyView.
Objective Still disease represents a prototypical polygenic systemic autoinflammatory disease, characterized by recurrent systemic inflammation and dysregulation of innate immunity. Despite extensive clinical characterization, familial clustering Still disease remains unreported.
Longfang Chen, Qihua Dai, Yu Xiao, Jialin Dai, Mengyan Wang, Yuning Ma, Yujie Shen, Zhimo Xu, Jianfen Meng, Xia Chen, Da Yi, Yue Sun, Hui Shi, Honglei Liu, Xiaobing Cheng, Yutong Su, Junna Ye, Huihui Chi, Zhuochao Zhou, Tingting Liu, Jialin Teng, Chengde Yang, Jinchao Jia, Qiongyi Hu   +23 more
wiley   +1 more source

A Taxonomy of Predictive Maintenance as a Basis for Supra‐Regional Sustainability Monitoring—Literature Review

Business Strategy and the Environment, EarlyView.
ABSTRACT The concept of predictive maintenance in advanced manufacturing systems is crucial from the point of view of resource efficiency in the era of high competitiveness forced by energy transformation in the digital economy. Against the backdrop of sustainability and the opportunities a data cooperative offers, the combination of predictive ...
Christian Schachtner, Nadine Baumann, Marek Jabłoński, Adam Jabłoński, Mariusz Bednarek, Sławomir Luściński, Piotr Bilski   +6 more
wiley   +1 more source

A Semi-Continuous State-Transition Probability HMM-Based Voice Activity Detector

EURASIP Journal on Audio, Speech, and Music Processing, 2007
We introduce an efficient hidden Markov model-based voice activity detection (VAD) algorithm with time-variant state-transition probabilities in the underlying Markov chain.
H. Othman, T. Aboulnasr
doaj   +2 more sources

Estimation and Forecasting of Sovereign Credit Rating Migration Based on Regime Switching Markov Chain

IEEE Access, 2019
Our research aims to develop the regime switching Markov chain (RSMC), a discrete time Markov chain whose underlying regime is depending on a hidden Markov model, which express the dynamics of sovereign credit rating migration.
Sung Youl Oh, Jae Wook Song, Woojin Chang, Minhyuk Lee   +3 more
doaj   +1 more source

Emotional Interactive Simulation System of English Speech Recognition in Virtual Context

Complexity, 2020
With the development of virtual scenes, the degree of simulation and functions of virtual reality have been very complete, providing a new platform and perspective for teaching design.
Dan Li
doaj   +1 more source

Bayesian Detection of a Sinusoidal Signal With Randomly Varying Frequency

IEEE Open Journal of Signal Processing, 2022
The problem of detecting a sinusoidal signal with randomly varying frequency has a long history. It is one of the core problems in signal processing, arising in many applications including, for example, underwater acoustic frequency line tracking ...
Changrong Liu, Sofia Suvorova, Rob J. Evans, Bill Moran, Andrew Melatos   +4 more
doaj   +1 more source

Filters and smoothers for self-exciting Markov modulated counting processes [PDF]

, 2013
We consider a self-exciting counting process, the parameters of which depend on a hidden finite-state Markov chain. We derive the optimal filter and smoother for the hidden chain based on observation of the jump process. This filter is in closed form and
Cohen, Samuel N., Elliott, Robert J.
core  

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source