Results 41 to 50 of about 56,042 (290)

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Failure to modulate reward prediction errors in declarative learning with theta (6 Hz) frequency transcranial alternating current stimulation [PDF]

PLOS ONE, 2020
Abstract Recent evidence suggests that reward prediction errors (RPEs) play an important role in declarative learning, but its neurophysiological mechanism remains unclear. Here, we tested the hypothesis that RPEs modulate declarative learning via theta-frequency oscillations, which have been related to memory encoding in prior work ...
Debra, Gillian, Verguts, Tom, Ergo, Kate, De Loof, Esther, Pastötter, Bernhard   +4 more
openaire   +5 more sources

Interactive Shielded Metal Arc Welding Technique E-Module for Vocational High Schools

Journal of Education Technology
Learning Shielded Metal Arc Welding techniques in vocational high schools still faces various challenges, including students’ low level of understanding, high rates of practical errors, and the limitations of conventional learning media that are static ...
Setuju, Erix Satria Yoga, Sigit Purnomo
doaj   +1 more source

Evaluation of Spatial and Temporal Performance of Deep Learning Models for Travel Demand Forecasting: Application to Bike-Sharing Demand Forecasting

Journal of Advanced Transportation, 2022
Deep learning approaches are widely employed for forecasting short-term travel demand to respond to real-time demand. Although it is critical for demand forecasting to be evenly distributed in the spatial and temporal views to support real-time mobility ...
Jaehyung Lee, Jinhee Kim
doaj   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

Development of a deep learning-based error detection system without error dose maps in the patient-specific quality assurance of volumetric modulated arc therapy

Journal of Radiation Research, 2023
Abstract To detect errors in patient-specific quality assurance (QA) for volumetric modulated arc therapy (VMAT), we proposed an error detection method based on dose distribution analysis using unsupervised deep learning approach and analyzed 161 prostate VMAT beams measured with a cylindrical detector.
Kimura, Yuto, Kadoya, Noriyuki, Oku, Yohei, Jingu, Keiichi   +3 more
openaire   +2 more sources

Flexible and Compact MLWE-Based KEM

Mathematics
In order to resist the security risks caused by quantum computing, post-quantum cryptography (PQC) has been a research focus. Constructing a key encapsulation mechanism (KEM) based on lattices is one of the promising PQC routines.
Wenqi Liang, Zhaoman Liu, Xuyang Zhao, Yafang Yang, Zhichuang Liang   +4 more
doaj   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Worse than feared? Failure induction modulates the electrophysiological signature of error monitoring during subsequent learning [PDF]

Cognitive, Affective, & Behavioral Neuroscience, 2011
This study examined how self-relevant failure influences error monitoring--as reflected in the error-related negativity (Ne/ERN) --and behavioral adaptation during subsequent feedback-based learning. We applied two phases (pre- and posttest) of a probabilistic learning task.
Kerstin, Unger, Jutta, Kray, Axel, Mecklinger   +2 more
openaire   +2 more sources

Deep learning‐based detection and classification of multi‐leaf collimator modeling errors in volumetric modulated radiation therapy

Journal of Applied Clinical Medical Physics, 2023
AbstractPurposeThe purpose of this study was to create and evaluate deep learning‐based models to detect and classify errors of multi‐leaf collimator (MLC) modeling parameters in volumetric modulated radiation therapy (VMAT), namely the transmission factor (TF) and the dosimetric leaf gap (DLG).MethodsA total of 33 clinical VMAT plans for prostate and ...
Nakamura, Sae, Sakai, Madoka, Ishizaka, Natsuki, Mayumi, Kazuki, Kinoshita, Tomotaka, Akamatsu, Shinya, Nishikata, Takayuki, Tanabe, Shunpei, Nakano, Hisashi, Tanabe, Satoshi, Takizawa, Takeshi, Yamada, Takumi, Sakai, Hironori, Kaidu, Motoki, Sasamoto, Ryuta, Ishikawa, Hiroyuki, Utsunomiya, Satoru   +16 more
openaire   +2 more sources