Results 81 to 90 of about 2,631,129 (272)

Have I Seen This Place Before? A Fast and Robust Loop Detection and Correction Method for 3D Lidar SLAM

open access: yesSensors, 2018
In this paper, we present a complete loop detection and correction system developed for data originating from lidar scanners. Regarding detection, we propose a combination of a global point cloud matcher with a novel registration algorithm to determine ...
Michiel Vlaminck   +2 more
doaj   +1 more source

Obesity alters the fitness of peritumoral adipose tissue, exacerbating tumor invasiveness in renal cancer through the induction of ADAM12 and CYP1B1

open access: yesMolecular Oncology, EarlyView.
Tumor microenvironment drives cancer formation and progression. We analyzed the role of human cancer‐associated adipocytes from patients with renal cell carcinoma (RCC) stratified as lean, overweight, or obese. RNA‐seq demonstrated that, among the most altered genes involved in the tumor–stroma crosstalk, are ADAM12 and CYP1B1, which were proven to be ...
Sepehr Torabinejad   +13 more
wiley   +1 more source

Teaching the Quran concepts and interpretation using educational technology and psychology of colors [PDF]

open access: yesفصلنامه نوآوری‌های آموزشی, 2015
In recent years, the role of educational media in providing necessary information and skills to help the addressee to better understand the educational subjects has been paid attention more and more.
Zohre Akhavan Moghaddam   +1 more
doaj  

aleph_0-categorical Structures: Endomorphisms and Interpretations [PDF]

open access: yesarXiv, 2009
We extend the Ahlbrandt--Ziegler analysis of interpretability in aleph_0-categorical structures by showing that existential interpretation is controlled by the monoid of self--embeddings and positive existential interpretation of structures without constant endomorphisms is controlled by the monoid of endomorphisms in the same way as general ...
arxiv  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

A weighted interpretation for the super Catalan numbers [PDF]

open access: yesarXiv, 2014
The super Catalan numbers $T(m,n)=(2m)!(2n)!/2m!n!(m+n)!$ are integers which generalize the Catalan numbers. With the exception of a few values of $m$, no combinatorial interpretation in known for $T(m,n)$. We give a weighted interpretation for $T(m,n)$ and develop a technique that converts this weighted interpretation into a conventional combinatorial
arxiv  

Impact of molecular diagnostics and targeted cancer therapy on patient outcomes (MODIFY): a retrospective study of the implementation of precision oncology

open access: yesMolecular Oncology, EarlyView.
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang   +3 more
wiley   +1 more source

Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data

open access: yesArtificial Intelligence in Geosciences, 2023
A carbonate build-up or reef is a thick carbonate deposit consisting of mainly skeletal remains of organisms that can be large enough to develop a favourable topography.
Priyadarshi Chinmoy Kumar   +1 more
doaj  

Towards a Research Community in Interpretable Reinforcement Learning: the InterpPol Workshop [PDF]

open access: yesarXiv
Embracing the pursuit of intrinsically explainable reinforcement learning raises crucial questions: what distinguishes explainability from interpretability? Should explainable and interpretable agents be developed outside of domains where transparency is imperative? What advantages do interpretable policies offer over neural networks?
arxiv  

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