Should the skeptic live his skepticism? Nietzsche and classical skepticism
I argue here that Nietzche´s semingly contradictory claims relative to skepticism require us to distinguish various strands of skepticism that inform his thought. Na investigation of Nietzsche’s interpretation of pyrhonic skepticism reveals that while he recognizes the power of its critique, it fails to be sufficiently courageous and creative in its ...
openaire +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
Spotting false news and doubting true news: a systematic review and meta-analysis of news judgements. [PDF]
Pfänder J, Altay S.
europepmc +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen +6 more
wiley +1 more source
Multidimensional challenges in promoting acupuncture for insomnia: Cultural, economic, and patient provider trust perspectives. [PDF]
Zhu MM, Qiu WH, Xu HC.
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Exploring Italian Consumers' Perceptions of Cultivated Meat: Barriers, Drivers, and Future Prospects. [PDF]
Stanco M, Uliano A, Nazzaro C.
europepmc +1 more source
Skepticism relations for comparing argumentation semantics
Pietro Baroni, Massimiliano Giacomin
openalex +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source

