Results 101 to 110 of about 140,769 (264)

Analysis of parametric models

Advances in Computational Mathematics, 2019
Parametric models in vector spaces are shown to possess an associated linear map. This linear operator leads directly to reproducing kernel Hilbert spaces and affine- / linear- representations in terms of tensor products. From the associated linear map analogues of covariance or rather correlation operators can be formed.
Matthies, Hermann, Ohayon, Roger
openaire   +3 more sources

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

Molecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric, Line Bjørge, Martine Rott Lode, Cecilie Fredvik Torkildsen, Pia Aehnlich, Rammah Elnour, Daniela Elena Costea, Lars Andreas Akslen, Liv Cecilie Vestrheim Thomsen, Emmet McCormack, Katrin Kleinmanns   +10 more
wiley   +1 more source

PARAMETRIC AND NON-PARAMETRIC ANALYSIS OF COMPETING RISKS MODELS

, 2020
Competing risks refers to the phenomenon where an object or individual is subject to multiple risks that are competing to destroy the object or individual, where the occurrence of one of these risks precludes the occurrence of any other risk.
Sood, Vishal
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Analytical solution for mechanical behavior characterization of sandy dolomite tunneling

Frontiers in Earth Science
Tunneling in sandy dolomite strata often faces hazards such as collapse, water inrush, and water–sand inrush, seriously threatening the safety of tunnel construction.
Di Sun, Di Sun, Di Sun, Di Sun, Zhigang Tao, Zhigang Tao, Hong Yang, Haoche Shui, Xiaotian Lei, Xiaotian Lei, Fengnian Wang, Fengnian Wang, Shusen Huo, Shusen Huo, Hang Shu, Weitong Xia, Zhaoxi Wang, Manchao He, Manchao He, Manchao He   +19 more
doaj   +1 more source

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

Molecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova, Michele Montrone, Uday Rangaswamy, Francesco Diversi, Irene Schiavo, Denise Ferrarini, Roberta Di Florio, Irene Longo, Michele Coscia, Nicola Zamboni, Giorgia Demontis, Lisa Veghini, Vincenzo Corbo, Remo Sanges, Paul Heppenstall   +14 more
wiley   +1 more source

Bayesian parametric bootstrap for models with intractable likelihoods

, 2019
In this paper it is demonstrated how the Bayesian parametric bootstrap can be adapted to models with intractable likelihoods. The approach is most appealing when the computationally efficient semi-automatic approximate Bayesian computation (ABC) summary ...
Christopher C. Drovandi, Pettitt, Anthony N, Anthony N. Pettitt, Vo, Brenda N., Pettitt, Anthony N., Drovandi, Christopher C., Brenda N. Vo, Vo, Brenda N, Drovandi, Christopher C   +8 more
core   +1 more source

Parametric analysis of the transmission dynamics during indigenous aggregated outbreaks caused by five SARS-CoV-2 strains in Nanjing, China

Frontiers in Public Health
BackgroundSARS-CoV-2 strains have been of great concern due to their high infectivity and antibody evasion.MethodsIn this study, data were collected on indigenous aggregated outbreaks in Nanjing from January 2020 to December 2022, caused by five strains ...
Tao Ma, Cong Chen, Cong Chen, Junjun Wang, Hengxue Wang, Yueyuan Zhao, Yuanzhao Zhu, Zikang Yan, Songning Ding, Jie Ding   +9 more
doaj   +1 more source

A Parametrized Analysis of Algorithms on Hierarchical Graphs

International Journal of Foundations of Computer Science, 2017
Hierarchical graphs are used in order to describe systems with a sequential composition of sub-systems. A hierarchical graph consists of a vector of subgraphs. Vertices in a subgraph may “call” other subgraphs. The reuse of subgraphs, possibly in a nested way, causes hierarchical graphs to be exponentially more succinct than equivalent flat graphs ...
Rachel Faran, Orna Kupferman
openaire   +2 more sources

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Environmental Efficiency Measurement with Translog Distance Functions: A Parametric Approach [PDF]

We use a flexible parametric hyperbolic distance function to estimate environmental efficiency when some outputs are undesirable. Cuesta and Zofio (J. Prod.
Zofío, José Luis, Cuesta, Rafael A., Knox, C.A.   +2 more
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