Results 121 to 130 of about 1,385,843 (310)

Metastasis on pause: How dormant tumor cells stay hidden within the tumor microenvironment and evade immune surveillance

open access: yesMolecular Oncology, EarlyView.
Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary   +1 more
wiley   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Dynamic Efficiency Analysis using a Directional Distance Function

open access: yes
Input-based dynamic efficiency measures are derived from an adjustment-cost directional distance function approach. A dynamic input directional distance function can be generated from an adjustment-cost technology where the dynamics are explicitly ...
Silva, Elvira   +1 more
core   +1 more source

Negative Data in DEA: A Simple Proportional Distance Function Approach [PDF]

open access: yes
The need to adapt Data Development Analysis (DEA) and other frontier models in the context of negative data has been a rather neglected issue in the literature.
Kristiaan Kerstens   +1 more
core  

Mixture models for distance sampling detection functions

open access: yes, 2015
Funding: EPSRC DTGWe present a new class of models for the detection function in distance sampling surveys of wildlife populations, based on finite mixtures of simple parametric key functions such as the half-normal. The models share many of the features
David L. Miller (167484)   +8 more
core   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

open access: yesMolecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura   +19 more
wiley   +1 more source

Environmental Regulation and Firm Efficiency: Studying the Porter Hypothesis using a Directional Output Distance Function

open access: yes
The purpose of this paper is to suggest a procedure to empirically test the Porter hypothesis. This hypothesis argues that environmental regulation not only increases environmental quality, but also brings the polluting producers information that makes ...
Marklund, Per-Olov
core   +1 more source

Estimation of marginal abatement costs for undesirable outputs in India's power generation sector: An output distance function approach. [PDF]

open access: yes
Many production activities generate undesirable byproducts in conjunction with the desirable outputs they produce. The present study uses an output distance function approach and its duality with the revenue function to estimate the marginal abatement ...
Gupta, Manish
core  

Bayesian methods for hierarchical distance sampling models

open access: yes, 2014
Cornelia S. Oedekoven was supported by a studentship jointly funded by the University of St Andrews and EPSRC (EPSRC grant EP/C522702/1), through the National Centre for Statistical Ecology.The few distance sampling studies that use Bayesian methods ...
Oedekoven, Cornelia Sabrina   +11 more
core   +1 more source

Computing Hamming Distance and Levenshtein Distance Using ReLU Neural Networks

open access: yesIEEE Access
Measuring the similarity or difference of two strings is a fundamental task in computer science and engineering. Among the various measures, Hamming distance and Levenshtein distance have been widely utilized.
Masahiro Ohtomo   +2 more
doaj   +1 more source

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