Results 11 to 20 of about 141,430 (348)

NHS-IL12 and bintrafusp alfa combination therapy enhances antitumor activity in preclinical cancer models

open access: yesTranslational Oncology, 2022
Combinatorial immunotherapy approaches are emerging as viable cancer therapeutic strategies for improving patient responses and outcomes. This study investigated whether two such immunotherapies, with complementary mechanisms of action, could enhance ...
Chunxiao Xu   +8 more
doaj   +1 more source

Preclinical evidence for the effective use of TL-895, a highly selective and potent second-generation BTK inhibitor, for the treatment of B-cell malignancies

open access: yesScientific Reports, 2023
TL-895 (formerly known as M7583) is a potent, highly selective, adenosine triphosphate (ATP)-competitive, second-generation, irreversible inhibitor of Bruton’s tyrosine kinase (BTK).
Samantha M. Goodstal   +13 more
doaj   +1 more source

Air-Quality Prediction Based on the EMD–IPSO–LSTM Combination Model

open access: yesSustainability, 2022
Owing to climate change, industrial pollution, and population gathering, the air quality status in many places in China is not optimal. The continuous deterioration of air-quality conditions has considerably affected the economic development and health ...
Yuan Huang   +4 more
semanticscholar   +1 more source

Defect Detection Sensitivity of Bubble-Point-Type Tests for Sterilizing-Grade Membrane Cartridge Filters

open access: yesMembranes, 2023
Bubble point tests are widely used for assessing the integrity of sterilizing-grade membrane cartridge filters. While many authors have considered the limitations of bubble point tests as applied to cartridge filters, the level of bacterial retention ...
Sal Giglia   +2 more
doaj   +1 more source

Wind Power Forecasting Based on LSTM Improved by EMD-PCA-RF

open access: yesSustainability, 2022
Improving the accuracy of wind power forecasting can guarantee the stable dispatch and safe operation of the grid system. Here, we propose an EMD-PCA-RF-LSTM wind power forecasting model to solve problems in traditional wind power forecasting such as ...
Dongyu Wang, Xiwen Cui, Dongxiao Niu
semanticscholar   +1 more source

New streaming algorithms for high dimensional EMD and MST [PDF]

open access: yesSymposium on the Theory of Computing, 2021
We study streaming algorithms for two fundamental geometric problems: computing the cost of a Minimum Spanning Tree (MST) of an n-point set X ⊂ {1,2,…,Δ}d, and computing the Earth Mover Distance (EMD) between two multi-sets A,B ⊂ {1,2,…,Δ}d of size n. We
Xi Chen   +3 more
semanticscholar   +1 more source

CNN AND LSTM FOR THE CLASSIFICATION OF PARKINSON'S DISEASE BASED ON THE GTCC AND MFCC

open access: yesApplied Computer Science, 2023
Parkinson's disease is a recognizable clinical syndrome with a variety of causes and clinical presentations; it represents a rapidly growing neurodegenerative disorder.
Nouhaila BOUALOULOU   +2 more
doaj   +1 more source

Identification and characterization of M6903, an antagonistic anti–TIM-3 monoclonal antibody

open access: yesOncoImmunology, 2020
T cell immunoglobulin and mucin domain-3 (TIM-3) is an immune checkpoint that regulates normal immune responses but can be exploited by tumor cells to evade immune surveillance.
Dong Zhang   +18 more
doaj   +1 more source

Instantaneous EEG Signal Analysis Based on Empirical Mode Decomposition Applied to Burst-Suppression in Propofol Anaesthesia

open access: yesОбщая реаниматология, 2021
The human electroencephalogram (EEG) constitutes a nonstationary, nonlinear electrophysiological signal resulting from synchronous firing of neurons in thalamocortical structures of the brain. Due to the complexity of the brain's physiological structures
G. Sobolova   +4 more
doaj   +1 more source

BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Mover’s Distance [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Pre-trained language models (e.g., BERT) have achieved significant success in various natural language processing (NLP) tasks. However, high storage and computational costs obstruct pre-trained language models to be effectively deployed on resource ...
Jianquan Li   +5 more
semanticscholar   +1 more source

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