Results 41 to 50 of about 875,908 (286)

Tau acetylation at K331 has limited impact on tau pathology in vivo

FEBS Letters, EarlyView.
We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto, Yukio Matsuba, Mika Takahashi, Takaomi C. Saido   +3 more
wiley   +1 more source

Support Vector Regression-based Multivariate Lesion Symptom Mapping

Frontiers in Psychology, 2015
The voxel-based lesion symptom mapping (VLSM) provides a statistical framework for brain function localization through identifying the lesioned foci responsive for the associated functional impairment of the assessed patients (Bates et al., 2003).
Ze Wang, Ze Wang
doaj   +1 more source

Quantum-assisted support vector regression

Quantum Information Processing
15 pages, 5 ...
Archismita Dalal, Mohsen Bagherimehrab, Barry C. Sanders   +2 more
openaire   +2 more sources

The ubiquitin ligase RNF115 is required for the clearance of damaged lysosomes

FEBS Letters, EarlyView.
Upon lysosomal rupture, an E3 ubiquitin ligase RNF115 translocates from the cytosol to the damaged lysosomal membrane. Moreover, RNF115 depletion impairs the clearance of damaged lysosomes, identifying it as a key regulator of lysosomal quality control.
Sae Nakanaga, Toshiki Takahashi, Akiko Kuma, Hiroyuki Kawahara   +3 more
wiley   +1 more source

Supplier selection with support vector regression and twin support vector regression [PDF]

, 2016
Tedarikçi seçimi sorunu son zamanlarda literatürde oldukça ilgi görmektedir. Güncel literatür, yapay zeka tekniklerinin geleneksel istatistiksel yöntemlerle karşılaştırıldığında daha iyi bir performans sağladığını göstermektedir.
İmamoğlu, Salih Zeki, İnce, Hüseyin
core  

Prediction of Compressive Strength Using Support Vector Regression

Mendel, 2019
At the design stage of a structure, the members of adequate dimension and strength is provided. But with passage of time, the strength of the members reduces gradually due to exposure to environmental conditions and unexpected loadings other than for ...
Goutham J Sai, Vijay Pal Singh
doaj   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

Molecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla, Jan Kosla, Magdalena Prechova, Lukas Frick, Patricia Bortel, Yasmin Borutzki, Andrea Bileck, Christopher Gerner, Samuel M. Meier‐Menches, Selma Osmanagic‐Myers, Martin Gregor   +10 more
wiley   +1 more source

Recurrent cancer‐associated ERBB4 mutations are transforming and confer resistance to targeted therapies

Molecular Oncology, EarlyView.
We show that the majority of the 18 analyzed recurrent cancer‐associated ERBB4 mutations are transforming. The most potent mutations are activating, co‐operate with other ERBB receptors, and are sensitive to pan‐ERBB inhibitors. Activating ERBB4 mutations also promote therapy resistance in EGFR‐mutant lung cancer.
Veera K. Ojala, Sini Ahonen, Sara Peltola, Aura Tuohisto‐Kokko, Olaya Esparta, Peppi Suominen, Anne Jokilammi, Iman Farahani, Deepankar Chakroborty, Nikol Dibus, Steffen Boettcher, Tomi T. Airenne, Mark S. Johnson, Lisa D. Eli, Klaus Elenius, Kari J. Kurppa   +15 more
wiley   +1 more source

Stream Flow Forecasting Using Least Square Support Vector Regression [PDF]

Journal of Soft Computing in Civil Engineering, 2018
Accurate forecasting of streamflow for different lead-times is useful in the design of almost all hydraulic structures. The Support Vector Machines (SVMs) use a hypothetical space of linear functions in a kernel-induced higher dimensional feature space ...
Shreenivas Londhe, Seema Gavraskar
doaj   +1 more source

Robust ε‐Support Vector Regression [PDF]

Mathematical Problems in Engineering, 2014
Spheroid disturbance of input data brings great challenges to support vector regression; thus it is essential to study the robust regression model. This paper is dedicated to establish a robust regression model which makes the regression function robust against disturbance of data and system parameter. Firstly, two theorems have been given to show that
Yuan Lv, Zhong Gan
openaire   +1 more source