Results 191 to 200 of about 2,664,283 (267)
Allocation of Indivisible Items With a Common Preference Graph: Minimizing Total Dissatisfaction
ABSTRACT Allocating indivisible items among a set of agents is a frequently studied discrete optimization problem. In the setting considered in this work, the agents' preferences over the items are assumed to be identical. We consider a very recent measure for the overall quality of an allocation which does not rely on numerical valuations of the items.
Nina Chiarelli +6 more
wiley +1 more source
The complete chloroplast genome sequence of <i>Lophophora diffusa</i>. [PDF]
Zhang T, Li N, Cui Z, Wang Y, Liu X.
europepmc +1 more source
Development of a rapid, low‐cost method for measuring residual glass fibre length: samples are collected by tweezers, prepared via submersion, imaged with a flatbed scanner as a cost‐effective alternative to microscopy, and analyzed for fibre length independently of image acquisition.
Tina Mayrhofer +3 more
wiley +1 more source
Task Graph Generation for Heterogeneous UAV Swarms in Partially Observable Adversarial Environments. [PDF]
Li W, Feng Y.
europepmc +1 more source
A walk in the park—Identifying healthy greenspaces using scents
As urbanisation accelerates globally, access to nature is increasingly recognised as vital for public health and wellbeing. We captured and analysed plant‐emitted airborne ‘scent signatures’ across Oxford's urban greenspaces to assess their potential health relevance.
William T. Kay +6 more
wiley +1 more source
Groups acting on trees with Tits' independence property (P): With an appendix by Stephan Tornier. [PDF]
Reid CD, Smith SM.
europepmc +1 more source
This study demonstrates that Brassica napus lines with Sinapis alba introgressions enhanced resistance against Phyllotreta cruciferae, resulting in reduced feeding damage and improved seedling physiological performance. The introgressed lines showed strong potential as genetic resources for developing more resilient and sustainable canola varieties ...
Aziz Ullah +4 more
wiley +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
Persona-based stratification and XGBoost modeling for multi-dimensional vehicle sound quality evaluation. [PDF]
Wang W, Wang M, Chen T, Lu X, Peng F.
europepmc +1 more source

