Results 71 to 80 of about 1,758,675 (318)

A Locally Both Leptokurtic and Fat-Tailed Distribution with Application in a Bayesian Stochastic Volatility Model

Entropy, 2021
In the paper, we begin with introducing a novel scale mixture of normal distribution such that its leptokurticity and fat-tailedness are only local, with this “locality” being separately controlled by two censoring parameters.
Łukasz Lenart, Anna Pajor, Łukasz Kwiatkowski   +2 more
doaj   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Modeling bursts and heavy tails in human dynamics

, 2005
Current models of human dynamics, used from risk assessment to communications, assume that human actions are randomly distributed in time and thus well approximated by Poisson processes.
A. Baddeley, A. Baddeley, A. Cobham, A.-L. Barabási, Albert-László Barabási, Alexei Vázquez, B. Rácz, C. Dewes, D. Gross, F. A. Haight, F. J. Omori, G. A. Miller, H. E. Stanley, H. Ebel, H. J. Jensen, H. R. Anderson, Imre Kondor, J. H. Greene, J. W. Cohen, João Gama Oliveira, Kwang-Il Goh, M. E. J. Newman, M. Mitzenmacher, M. Mitzenmacher, P. Reynolds, R. Pastor-Satorras, S. N. Dorogovtsev, S. Redner, S.-D. Poisson, W. Feller, Zoltán Dezsö   +30 more
core   +1 more source

MODEL OF THE DIFFUSION PROCESS WITH HEAVY TAILS IN THE DISTRIBUTION [PDF]

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2017
A generator of stable random variables is developed.
Zakharov I. S.
doaj   +1 more source

Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting

Molecular Oncology, EarlyView.
CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia, Noelia Moares, Wenjie Yi‐He, Rosa Luna‐Espejo, Ricardo Fernandez‐Cisnal, Javier Ocaña‐Cuesta, Juan P. Muñoz‐Miranda, Antonio Gabucio, Cecilia M. Fernandez‐Ponce, Francisco Garcia‐Cozar   +9 more
wiley   +1 more source

Regular Variation in a Fixed-Point Problem for Single- and Multiclass Branching Processes and Queues [PDF]

, 2018
Tail asymptotics of the solution $R$ to a fixpoint problem of type $R =_{st} Q + \sum_1^N R_m$ is derived under heavy-tailed conditions allowing both dependence between $Q$ and $N$ and the tails to be of the same order of magnitude.
Asmussen, Søren, Foss, Sergey
core   +2 more sources

Robust Bayesian Regularized Estimation Based on t Regression Model

Journal of Probability and Statistics, 2015
The t distribution is a useful extension of the normal distribution, which can be used for statistical modeling of data sets with heavy tails, and provides robust estimation. In this paper, in view of the advantages of Bayesian analysis, we propose a new
Zean Li, Weihua Zhao
doaj   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Threshold Stochastic Volatility Models with Heavy Tails: A Bayesian Approach

Economía, 2019
This paper extends the threshold stochastic volatility (THSV) model specification proposed in So et al. (2002) and Chen et al. (2008) by incorporating thick-tails in the mean equation innovation using the scale mixture of normal distributions (SMN).
Carlos A. Abanto-Valle, Hernán B. Garrafa-Aragón   +1 more
doaj   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source