Results 41 to 50 of about 586 (210)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Ensuring the completeness of natural-language security requirements is critical to maintaining the security and reliability of Internet of Things (IoT) systems, especially in high-risk domains.
Aftab Alam Janisar +6 more
doaj +1 more source
Programmable luminescent tags based on organic room‐temperature phosphorescence are shown to be governed by oxygen incorporation during fabrication. Oxygen‐free processing enables immediate phosphorescence activation, controlled thermal preconditioning, and tunable activation doses.
Lucy Winkler +2 more
wiley +1 more source
Solid Waste Information Tracking System (SWITS), Backlog Waste Modifications, Software Requirements Specification (SRS) [PDF]
Purpose of this document is to define the system requirements necessary to improve computer support for the WHC backlog waste business process through enhancements to the backlog waste function of the SWITS system. This SRS document covers enhancements to the SWITS system to support changes to the existing Backlog Waste screens including new data ...
openaire +2 more sources
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Effective software projects hinge on robust requirements, yet flawed requirements often lead to costly delays and revisions. While tools have been developed to identify defects in Software Requirements Specifications (SRS), the advent of Large Language ...
Taslim Mahbub +5 more
doaj +1 more source
This study presents a human Bone (and Bone Marrow)‐on‐a‐Chip model based on native human bone scaffolds and autologous cells. Dynamic perfusion and sequential cell seeding replicate the physiological bone remodeling process in vitro, enabling the long‐term culture of functional, mature bone marrow immune subpopulations.
Nina Stelzer +17 more
wiley +1 more source
Analysis of Software Requirement Specification and Use Case Diagram of Metaverse Museum Muhammadiyah
This article presents a detailed analysis of the Software Requirement Specification (SRS) and Use Case Diagram for the Metaverse Museum Muhammadiyah, a virtual museum platform designed to offer an immersive and interactive user experience. The study aims
Umar Rusydi +4 more
doaj +1 more source
Dysregulated protein modifications drive tumorigenesis. RINES, an E3 ubiquitin ligase, represses tumor cell proliferation and metastasis by facilitating RING domain‐dependent, ubiquitin–proteasome‐mediated degradation of STAT3 and MYC, which consequently restrains cancer stemness and oncogenic progression.
Lili Li +8 more
wiley +1 more source

