Results 81 to 90 of about 3,186 (177)

Reimagining the “Well” (Digitally) Literate Body: Lessons From Children's Diverse (Digital)‐Literacies‐in‐the‐Body With Videogames at Home

open access: yesReading Research Quarterly, Volume 61, Issue 2, April/May/June 2026.
This graphical abstract provides an overview of the study's context, approach, key findings and implications. This ecoculturally informed study examined children's digital play and well‐being in relation to broader contexts, routines and practices.
Fiona Scott   +5 more
wiley   +1 more source

Optimization Design of Marine Centrifugal Pump Blade Profile Based on Hybrid Clonal Selection Algorithm Integrating Slime Mold Algorithm and Tangent Flight Mechanism

open access: yesJournal of Marine Science and Engineering
The marine centrifugal pump is one of the most energy-intensive pieces of equipment in ship auxiliary machinery, and the efficient design of its hydraulic components can effectively reduce the total energy consumption of the ship system.
Ye Yuan, Qirui Chen, Shifeng Wang
doaj   +1 more source

Mortality, morbidity, and occupational decline

open access: yesThe Scandinavian Journal of Economics, Volume 128, Issue 2, Page 308-348, April 2026.
Abstract Is long‐term economic stress from occupational decline linked to poor health or death? Using Swedish administrative data matched with US occupational trends, I examine this in reduced form and using instrumental variables. Workers who in 1985 worked in occupations that subsequently declined unexpectedly were more likely to die early than ...
Sofia Bougt‐Hernnäs
wiley   +1 more source

Suggesting a Novel Hybrid Approach for Predicting Solar Irradiance in the Qinghai Province of China [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
Solar energy is a widely embraced renewable resource, characterized by its unpredictable, fluctuating, and stochastic nature. To mitigate risks and optimize asset utilization cost-effectively, precise analysis and forecasting of solar radiation can prove
Baran Yılmaz, Rachel Samra
doaj   +1 more source

A Biophysical Approach to the Design of Networks of Communication Systems

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4539-4547, 30 March 2026.
ABSTRACT Inspired by the growth dynamics of the protist Physarum polycephalum, we employ a formalism that describes adaptive, incompressible Hagen‐Poiseuille flows on channel networks to identify graphs connecting different nodes within Euclidean space. These graphs are either suboptimal or optimal relative to their length.
Rodrigo Almeida   +2 more
wiley   +1 more source

Optimizing solar panel maximum power point tracking and parasitic parameter extraction in partial shading with Enhanced Slime Mold optimization

open access: yesMeasurement: Sensors
Solar energy offers several environmental, economic, and energy security advantages. Parasitic parameters and shading on solar panels can reduce efficiency.
JVG Rama Rao   +4 more
doaj   +1 more source

Estimation of the Ultimate Bearing Capacity of the Rocks via Utilization of the AI-Based Frameworks [PDF]

open access: yesAdvances in Engineering and Intelligence Systems
Precise anticipation of the ultimate bearing capacity (Qu)for rock-socketed piles is an important task in civil engineering, construction, and the design of foundations.
Bianca Damico, Matteo Conti
doaj   +1 more source

Investigating biocomplexity through the agent-based paradigm. [PDF]

open access: yes, 2015
Capturing the dynamism that pervades biological systems requires a computational approach that can accommodate both the continuous features of the system environment as well as the flexible and heterogeneous nature of component interactions.
Kaul, H, Ventikos, Y
core  

Multi-Strategy-Improvement-Based Slime Mould Algorithm

open access: yesApplied Sciences
In addressing the challenges posed by the sluggish convergence rate, suboptimal stability, and susceptibility to local optimization in function optimization problems, a multi-strategy-based enhanced slime mold optimization algorithm (MSSMA) has been ...
Donghai Huang, Tianbing Tang, Yi Yan
doaj   +1 more source

Hybrid Machine Learning Model for Predicting Shear Strength of Rock Joints

open access: yesApplied Sciences
The accurate prediction of joint shear strength is crucial for rock mass engineering design and geological hazard assessment. However, traditional machine learning (ML) models often suffer from local optima and limited generalization ability when dealing
Daxing Lei   +4 more
doaj   +1 more source

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