Results 41 to 50 of about 2,180,233 (295)

Combinatorial Gelfand models for some semigroups and q-rook monoid algebras [PDF]

, 2007
Inspired by the results of [R. Adin, A. Postnikov, Y. Roichman, Combinatorial Gelfand model, preprint math.RT arXiv:0709.3962], we propose combinatorial Gelfand models for semigroup algebras of some finite semigroups, which include the symmetric inverse ...
Kudryavtseva, Ganna, Mazorchuk, Volodymyr   +1 more
core   +1 more source

A supersymmetric electroweak scale seesaw model

, 2017
In this paper we propose a novel supersymmetric inverse seesaw model which has only one additional $Z_6$ symmetry. The field content is minimal to get a viable neutrino spectrum at tree-level.
Chang, Jung, Cheung, Kingman, Ishida, Hiroyuki, Lu, Chih-Ting, Spinrath, Martin, Tsai, Yue-Lin Sming   +5 more
core   +1 more source

Feedback control by online learning an inverse model [PDF]

, 2012
A model, predictor, or error estimator is often used by a feedback controller to control a plant. Creating such a model is difficult when the plant exhibits nonlinear behavior.
Schrauwen, Benjamin, Waegeman, Tim, wyffels, Francis   +2 more
core   +1 more source

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

High-Resolution Inversion of GOSAT-2 Retrievals for Sectoral Methane Emission Estimates During 2019–2022: A Consistency Analysis with GOSAT Inversion

Remote Sensing
We employed a global high-resolution inverse model to estimate sectoral methane emissions, integrating observations from the GOSAT-2 satellite for the first time, along with observations from the surface observation network.
Rajesh Janardanan, Shamil Maksyutov, Fenjuan Wang, Lorna Nayagam, Yukio Yoshida, Xin Lan, Tsuneo Matsunaga   +6 more
doaj   +1 more source

Decoupling Control of Permanent Magnet Synchronous Motor With Support Vector Regression Inverse System Method

IEEE Access, 2020
Inverse system method is effective for controlling permanent magnet synchronous motor (PMSM). A novel support vector regression(SVR) inverse system method is proposed to realize decoupling control of PMSM in the article.
Minghua Xie, Lili Xie
doaj   +1 more source

A Novel Adaptive LSSVR-Based Inverse Optimal Controller With Integrator for Nonlinear Non-Affine Systems

IEEE Access, 2023
In this study, a novel inverse optimal controller based on NARMA-L2 modelling technique and online least squares support vector regression (LSSVR) method has been proposed for nonlinear non-affine systems.
Muhammet Emre Sanci, Kemal Ucak, Gulay Oke Gunel   +2 more
doaj   +1 more source

Cytoplasmic p21 promotes stemness of colon cancer cells via activation of the NFκB pathway

Molecular Oncology, EarlyView.
Cytoplasmic p21 promotes colorectal cancer stem cell (CSC) features by destabilizing the NFκB–IκB complex, activating NFκB signaling, and upregulating BCL‐xL and COX2. In contrast to nuclear p21, cytoplasmic p21 enhances spheroid formation and stemness transcription factor CD133.
Arnatchai Maiuthed, Kerstin Huebner, Katharina Erlenbach‐Wuensch, Chuanpit Hampel, Daniela Thalheim, Adriana Vial‐Roehe, Bodee Nutho, Susanne Merkel, Arndt Hartmann, Pithi Chanvorachote, Regine Schneider‐Stock   +10 more
wiley   +1 more source

New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector

Complexity, 2022
Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory,
Mohammed M. A. Almazah, Kalim Ullah, Eslam Hussam, Md. Moyazzem Hossain, Ramy Aldallal, Fathy H. Riad   +5 more
doaj   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

Molecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken, Andrea Abel Gutierrez, Imke van Rossum, Cornelia G. Spruijt, Michiel Vermeulen, Guido van Mierlo, Blanca Scheijen, Annemiek B. van Spriel   +7 more
wiley   +1 more source