Results 81 to 90 of about 2,451,188 (298)
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
A water‐activated phospholipid phase‐separation gel is repurposed as a drug‐free surgical barrier for postoperative adhesion prevention. Propylene glycol promotes rapid lamellar gel reinforcement, prolonged local retention, and tissue coverage, while phosphatidylcholine‐mediated immunomodulation suppresses inflammatory and fibrotic responses. This dual‐
Jong‐Ju Lee +6 more
wiley +1 more source
Multimodal multi-output ordinal regression for discovering gravitationally-lensed transients
Gravitational lenses are caused by massive astronomical objects that distort space-time, bending light. They can distort transient astrophysical events, such as supernovae (SN), which are the subject of extensive study.
Nicolò Oreste Pinciroli Vago +1 more
doaj +1 more source
IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016
Traffic accident becomes a very serious case because it causes not only material loss but also physical and psychological harms to the subject and the people around him. Accidents that occurred resulted in not only injuries but also death.
daniar mukti septianingtyas
doaj +1 more source
A thermoreversible gelatin‐based gel forms a soft, conformal bioelectronic interface on complex biological surfaces. The flowable precursor penetrates hair‐dense regions, solidifies in situ, and maintains low impedance through adaptive contact and hydration retention.
Ruinan Hao +9 more
wiley +1 more source
Effect Structures in Ordinal Regression: The Adjacent Categories Approach
The potential of the adjacent categories approach for capturing the influence of explanatory variables on ordinal responses is investigated. Several models with increasing complexity in their linear predictors are considered, and their relationships are ...
Gerhard Tutz
doaj +1 more source
Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
In this study, uses of ordinal logistic model based on weather data has been attempted for forecasting wheat (Triticum aestivum L.) yield in Kanpur district of Uttar Pradesh.
VANDITA KUMARI, AMRENDER KUMAR
doaj +1 more source
Unimodal Distributions for Ordinal Regression
17 ...
Jaime S. Cardoso 0001 +2 more
openaire +2 more sources
Feature Relevance Bounds for Ordinal Regression
The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model accuracy, the interpretation of these models itself is of high relevance, and existing approaches therefore enforce e.g. model sparsity.
Pfannschmidt, Lukas +5 more
openaire +5 more sources
Fits ordinal regression to dispersal distances for experimental and background beetles.
Monroe, J. Grey +13 more
core +1 more source

