Results 101 to 110 of about 9,334 (269)

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

open access: yesMolecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff   +11 more
wiley   +1 more source

Approximation Algorithms for Distributionally Robust Stochastic Optimization with Black-Box Distributions

open access: yes, 2019
Two-stage stochastic optimization is a framework for modeling uncertainty, where we have a probability distribution over possible realizations of the data, called scenarios, and decisions are taken in two stages: we make first-stage decisions knowing ...
Linhares, Andre, Swamy, Chaitanya
core  

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Coordinated Operation of Multiple Distribution Systems Using Adjusted Cost-Influencing Participation Factor Based on a Distributionally Robust Chance-Constrained Model

open access: yesIEEE Access
The integration of photovoltaic generators introduces significant uncertainties in distribution network (DN) operations. This study presents a novel distributionally robust energy management strategy for multiple DNs, addressing inherent variabilities in
Dongwon Lee   +4 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

Optimization Scheduling of Integrated Energy Systems Considering Power Flow Constraints

open access: yesEnergies
To further investigate the complementary characteristics among subsystems of the combined electricity–gas–heat system (CEGHS) and to enhance the renewable energy accommodation capability, this study proposes a comprehensive optimization scheduling ...
Sheng Zou   +4 more
doaj   +1 more source

Distributionally Robust Newsvendor on a Metric

open access: yesProceedings of the 26th ACM Conference on Economics and Computation
We consider a fundamental generalization of the classical newsvendor problem where the seller needs to decide on the inventory of a product jointly for multiple locations on a metric as well as a fulfillment policy to satisfy the uncertain demand that arises sequentially over time after the inventory decisions have been made.
Ayoub Foussoul, Vineet Goyal
openaire   +2 more sources

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra   +6 more
wiley   +1 more source

A two-stage distributionally robust CVaR-constrained framework and its approximations for self-scheduling microgrid

open access: yesInternational Journal of Electrical Power & Energy Systems
This paper proposes a two-stage distributionally robust conditional value-at-risk constrained (TS-DR-CVaR) framework and its computable approximations for the economic self-scheduling of microgrid problems considering the uncertainty of renewable energy ...
Chen Zhang, Jinbao Jian, Linfeng Yang
doaj   +1 more source

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