Results 91 to 100 of about 41,202 (263)

An Efficient Prediction-and-Shifting Embedding Technique for High Quality Reversible Data Hiding

EURASIP Journal on Advances in Signal Processing, 2010
The embedding capacity of a histogram-based reversible data hiding technique is primarily determined by the peak height of the histogram. Recently, some studies have tried to embed data in the histogram of prediction errors by modifying the error values ...
Hong Wien
doaj  

Energy Optimization Models for the Locomotive Assignment Problem

Networks, EarlyView.
ABSTRACT Reducing energy consumption is a key objective in transportation. Using detailed infrastructure data, this study introduces the Green Locomotive Assignment Problem (GLAP) to minimize energy consumption in railway operations by efficiently assigning locomotives to pre‐scheduled trains.
Gislind Baumgartner, Fatih Kocatürk, Ninja Scherr, Jan Fabian Ehmke   +3 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Nonprofit Governance and Financial Stability: A Study of Government‐Funded Social Services

Nonprofit Management and Leadership, EarlyView.
ABSTRACT Nonprofit social service providers are essential in delivering vital services, often with public funding. This study adopts a contingency perspective to explore the relationship between organizational governance and financial stability in publicly funded nonprofit organizations. We use a combination of comparative multilevel analysis (CMA) and
Florentine Maier, Michael Meyer, Josef Baumüller, Christian Grünhaus, Franka Walde   +4 more
wiley   +1 more source

No way back: decadal lack of functional recovery of a coralligenous community in a warming Mediterranean

Oikos, EarlyView.
Anthropogenic disturbances are degrading nature at a rate that exceeds its capacity to recover. While considerable research has focused on understanding ecosystem impacts, recovery processes remain comparatively overlooked, particularly in marine ecosystems, where long‐term data on how highly complex systems respond to disturbances are scarce.
Yanis Zentner, Joaquim Garrabou, Pol Capdevila, Natalia Ruiz‐Valero, Daniel Gómez‐Gras, Núria Teixidó, Cristina Linares   +6 more
wiley   +1 more source

Area‐restricted search under realistic constraints

Oikos, EarlyView.
Abstract Area‐restricted search (ARS) is one of the most influential and widely used concepts in foraging theory, capturing a simple rule by which animals intensify local search following a resource encounter. Because ARS performs well in many spatially structured environments, it serves as a basic model for interpreting movement patterns across taxa ...
Inon Scharf, Arik Dorfman
wiley   +1 more source

strainedSMILES2xyz: a workflow for reliable 3D structures of strained molecules from SMILES. [PDF]

J Cheminform
Demuth T, Schnizer J, Svatunek D.
europepmc   +1 more source

Identifying knowledge barriers to agroforestry adoption and co‐designing solutions to them

People and Nature, EarlyView.
Abstract Compared to monocultures, agroforestry can promote biodiversity, ecosystem functioning and climate resilience, whilst maintaining or enhancing production and profits. Despite this, uptake in temperate regions remains low. Knowledge gaps amongst land managers are a primary barrier to uptake, but little is known about which aspects of ...
Amelia S. C. Hood, Verena Scherfranz, Rosy E. Scholes, Erika Degani, Tom Staton, Alexa Varah, Lena Schaller, Alice L. Mauchline   +7 more
wiley   +1 more source

[Antihyperglycemic treatment of type 2 diabetes mellitus (Update 2026)]. [PDF]

Wien Klin Wochenschr
Clodi M, Abrahamian H, Aberer F, Bräuer A, Aydinkoc-Tuzcu K, Brath H, Brix J, Drexel H, Fasching P, Feder A, Frühwald L, Fritsch M, Föger B, Francesconi C, Fröhlich-Reiterer E, Harreiter J, Hofer S, Höllerl F, Hoppichler F, Huber J, Huber S, Kaser S, Kautzky-Willer A, Kietaibl A, Köhler G, Lechleitner M, Leutner M, Ludvik B, Mader JK, Parzer V, Paulweber B, Pieber T, Prager R, Pucher E, Rami-Merhar B, Rega-Kaun G, Resl M, Ress C, Riedl M, Roden M, Saely CH, Schelkshorn C, Schernthaner G, Sourij H, Stechemesser L, Steinmaurer T, Stingl H, Stulnig T, Tauschmann M, Toplak H, Treiber G, Vonbank A, Wascher TC, Weitgasser R, Winhofer Y, Zlamal-Fortunat S.   +55 more
europepmc   +1 more source

Curating landscapes to encourage care for biodiversity through arts and citizen science

People and Nature, EarlyView.
Abstract This study investigates how combining Citizen Science and Art workshops within curated wildflower meadows can generate repeated, positive experiences with nature, and foster a sense of care for it. The project aimed to increase awareness, encourage responsibility, and develop competencies related to urban nature.
Elisa Olivares Esquivel, Simone Farris, Catherine Higham   +2 more
wiley   +1 more source