Results 21 to 30 of about 349,418 (192)

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

Molecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova, Dominika Maurencova, Barbora Salovska, Marek Kratky, Tomas Mracek, Zuzana Korandova, Alena Pecinova, Pavla Vasicova, David Rysanek, Ladislav Andera, Ivo Fabrik, Rudolf Kupcik, Pavel Kashmel, Pinky Sultana, Vojtech Tambor, Jiri Bartek, Josef Novak, Marie Vajrychova, Zdenek Hodny   +18 more
wiley   +1 more source

Recursive SDN for Carrier Networks

, 2016
Control planes for global carrier networks should be programmable (so that new functionality can be easily introduced) and scalable (so they can handle the numerical scale and geographic scope of these networks).
Koponen, Teemu, Liu, Zhi, McCauley, James, Panda, Aurojit, Raghavan, Barath, Rexford, Jennifer, Shenker, Scott   +6 more
core   +1 more source

Criterion and incremental validity of the emotion regulation questionnaire. [PDF]

, 2015
Although research on emotion regulation (ER) is developing, little attention has been paid to the predictive power of ER strategies beyond established constructs. The present study examined the incremental validity of the Emotion Regulation Questionnaire
Ioannidis, CA, Siegling, AB
core   +2 more sources

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg, Nienke L. M. Bakx, Coen W. Hurkmans   +2 more
wiley   +1 more source

Unsupervised non‐small cell lung cancer tumor segmentation using cycled generative adversarial network with similarity‐based discriminator

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Tumor segmentation is crucial for lung disease diagnosis and treatment. Most existing deep learning‐based automatic segmentation methods rely on manually annotated data for network training. Purpose This study aims to develop an unsupervised tumor segmentation network smic‐GAN by using a similarity‐driven generative adversarial ...
Chengyijue Fang, Xiaoyang Li, Yidong Yang   +2 more
wiley   +1 more source

The dimensions of personality in humans and other animals: A comparative and evolutionary perspective [PDF]

, 2000
This paper considers the structure and proximate mechanisms of personality in humans and other animals. Significant similarities were found between personality structures and mechanisms across species in at least two broad traits: Extraversion and ...
Budaev, Dr. Sergey
core  

DeepASL: Enabling Ubiquitous and Non-Intrusive Word and Sentence-Level Sign Language Translation

, 2018
There is an undeniable communication barrier between deaf people and people with normal hearing ability. Although innovations in sign language translation technology aim to tear down this communication barrier, the majority of existing sign language ...
Chai Xiujuan, Du Yong, Graves Alex, Kanwal Kehkashan, Praveen Nikhita, Socher Richard   +5 more
core   +1 more source

Myostatin Levels in SMA Following Disease‐Modifying Treatments: A Multi‐Center Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study investigated myostatin levels in SMA patients receiving disease‐modifying therapies (DMTs) to understand their relationship with treatment duration and functional status. Methods Our study includes both cross‐sectional and longitudinal analyses of myostatin levels in treated SMA patients.
Fiorella Piemonte, Sara Petrillo, Anna Capasso, Giorgia Coratti, Adele D'Amico, Michela Catteruccia, Maria Carmela Pera, Concetta Palermo, Marika Pane, Emanuela Abiusi, Gianpaolo Cicala, Marianna Villa, Chiara Bravetti, Chiara Arpaia, Agnese Novelli, Salvatore Falqui, Stefania Fiori, Giulia Napoli, Silvia Baroni, Francesco Danilo Tiziano, Enrico Bertini, Giacomo Comi, Stefania Corti, Eugenio Mercuri   +23 more
wiley   +1 more source

Sequence Analysis to Phenotype Health Care Patterns in Adults With Musculoskeletal Conditions Using Primary Care Electronic Health Records

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to apply sequence analysis (SA) to phenotype health care patterns of adult patients with musculoskeletal (MSK) conditions using primary care electronic health records and to investigate the association between these health care patterns and patients’ self‐reported outcomes after consultation.
Smitha Mathew, George Peat, Emma Parry, Ross Wilkie, Kelvin P. Jordan, Jonathan C. Hill, Dahai Yu   +6 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source