Results 121 to 130 of about 1,418,912 (317)

Cystatin A promotes the antitumor activity of T helper type 1 cells and dendritic cells in murine models of pancreatic cancer

Molecular Oncology, EarlyView.
Pancreatic ductal adenocarcinoma (PDAC) is a disease with very poor prognosis due to therapeutic limitations. We investigated the antitumor effects of cystatin A (CSTA) in PDAC murine models. We are first to confirm that CSTA enhances T helper type 1‐mediated antitumor effects through promotion of dendritic cells and M1 macrophage activity. CSTA can be
Alessandro Nasti, Shingo Inagaki, Tuyen Thuy Bich Ho, Akihiro Seki, Keiko Yoshida, Kosuke Satomura, Yoshio Sakai, Shuichi Kaneko, Taro Yamashita   +8 more
wiley   +1 more source

Accelerated optimization in deep learning with a proportional-integral-derivative controller

Nature Communications
High-performance optimization algorithms are essential in deep learning. However, understanding the behavior of optimization (i.e., learning process) remains challenging due to the instability and weak interpretability of the algorithms.
Song Chen, Jiaxu Liu, Pengkai Wang, Chao Xu, Shengze Cai, Jian Chu   +5 more
doaj   +1 more source

Cell‐free DNA aneuploidy score as a dynamic early response marker in prostate cancer

Molecular Oncology, EarlyView.
mFast‐SeqS‐based genome‐wide aneuploidy scores are concordant with aneuploidy scores obtained by whole genome sequencing from tumor tissue and can predict response to ARSI treatment at baseline and, at an early time point, to ARSI and taxanes. This assay can be easily performed at low cost and requires little input of cfDNA. Cell‐free circulating tumor
Khrystany T. Isebia, Anouk C. de Jong, Lisanne F. van Dessel, Vanja de Weerd, Corine Beaufort, Jean Helmijr, José Alberto Nakauma‐González, Job van Riet, Paul Hamberg, Daniel Vis, Michiel S. van der Heijden, Nick Beije, Martijn P. Lolkema, Teoman Deger, Saskia M. Wilting, Ronald de Wit, Maurice P. H. M. Jansen, John W. M. Martens   +17 more
wiley   +1 more source

A combined feedforward-feedback controller design for nonlinear systems

Open Engineering
This study presents a control framework that integrates both feedforward (FF) and feedback (FB) procedures to control nonlinear systems. The intelligent control component consisted of a modified recurrent wavelet neural network used to build the FF ...
Abdulkareem Jenan J., Ali Hazem I., Lutfy Omar Farouq   +2 more
doaj   +1 more source

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

Molecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Endocrine CNN-Based Fault Detection for DC Motors

Elektronika ir Elektrotechnika
This paper presents a novel method for detecting and classifying faults in dynamic control systems empowered with DC motors, operating under laboratory conditions.
Andjela D. Djordjevic, Miroslav B. Milovanovic, Marko T. Milojkovic, Jelena G. Petrovic, Sasa S. Nikolic   +4 more
doaj   +1 more source

3092) Studies on the Noise Control of Ventilating System for the Interchanging Tunnels of Highway in Tokyo : Part 2. On the Magnitude of Noise to be reduced(Environmental Engineering, Design and Planning)

, 1964
Takashi Hirayama, Shin'ichi Kuga, Shigeru Goto   +2 more
openalex   +2 more sources

Controlling chaos and bifurcations in engineering systems, Guanrong Chen, Boca Raton, FL: CRC Press, 2000, ISBN 0‐8493‐0579‐9. [PDF]

, 2001
Chi K. Tse
openalex   +1 more source

Clinical significance of stratifying prostate cancer patients through specific circulating genes

Molecular Oncology, EarlyView.
We tested a specific panel of genes representative of luminal, neuroendocrine and stem‐like cells in the blood of prostate cancer patients, showing predictive value from diagnosis to late stages of disease. This approach allows monitoring of treatment responses and outcomes at specific time points in trajectories.
Seta Derderian, Edouard Jarry, Arynne Santos, Quentin Vesval, Lucie Hamel, Rafael Sanchez‐Salas, Alexis Rompré‐Brodeur, Wassim Kassouf, Raghu Rajan, Fadi Brimo, Marie Duclos, Armen Aprikian, Simone Chevalier   +12 more
wiley   +1 more source

Modelling and practical studying of heat recovery steam generator (HRSG) drum dynamics and approach point effect on control valves

Ain Shams Engineering Journal, 2018
In this paper, we present a simple procedure to build a model of a heat recovery steam generator (HRSG) evaporator and drum within the environment of MATLAB/Simulink. The HRSG is part of combined cycle power plant that is located at Talkha power station (
Ahmed Shams El-din Ahmed, Mostafa A. Elhosseini, Hesham Arafat Ali   +2 more
doaj