Results 121 to 130 of about 3,785,317 (299)
Innovativeness of Poland's Economy - Conditions and Prospects for Development [PDF]
The structure of the article is as follows: the introduction is followed by an assessment of the level of innovativeness of Poland's economy, explanation of the reasons of poor innovativeness, and then the conditions for innovation in Poland are outlined
Kasperkiewicz Witold
core +2 more sources
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Business organization creativity – a key indicator of innovation readiness
Organizational creativity is a key prerequisite for an effective company innovation policy. The overall innovation policy necessari-ly includes the attraction of creative employees to support the process of creating new products and services. At the same
Miglena Angelova
doaj +1 more source
Public Innovations in the Future [PDF]
Taking off the past, the future always starts today. The capacity to harness intellectual and social capital and to convert it into novel and useful things has become the critical organizational requirement of the age.
Serrat, Olivier
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Objectives: This study aims to investigate the extent to which school principals in Jordan practice technological competencies in light of the International Society for Technology in Education (ISTE) standards, and to explore their organizational ...
Dina K. Abbasi , Yousef M. Arouri
doaj +1 more source
Building a Learning Organization [PDF]
{Excerpt} A learning organization values the role that learning can play in developing organizational effectiveness. It demonstrates this by having an inspiring vision for learning and a learning strategy that will support the organization in achieving ...
Serrat, Olivier
core +1 more source
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken +4 more
wiley +1 more source

