Results 121 to 130 of about 370,647 (296)
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
The Effect Of Using Total Physical Response (Tpr) Method On Vocabulary Size At Seventh Grade Students Of MTs Muslimat NU Palangkaraya [PDF]
The main purpose of the study is to measure the effect of total physical response method at seventh grade student on vocabulary size at MTs Muslimat NU Palangka raya. The type of study was quasi-experimental especially non-randomized control group, pre-
Amirudin, Asidiqqi
core
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
The Effects of Self-efficacy on Self-regulated Vocabulary Learning [PDF]
This study examined the effects of self-efficacy on self-regulated vocabulary learning. A model of motivated vocabulary learning by Tseng and Schmitt (2008) was used to see the effects of self-efficacy on the phases (planning, practice, and evaluation ...
Mizumoto Atsushi, 水本 篤
core +1 more source
Inference and Evaluation of the Multinomial Mixture Model for Text Clustering
In this article, we investigate the use of a probabilistic model for unsupervised clustering in text collections. Unsupervised clustering has become a basic module for many intelligent text processing applications, such as information retrieval, text ...
Banerjee +16 more
core +5 more sources
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Humans acquire word knowledge through producing and comprehending spoken and written language. Word learning continues into adulthood and knowledge accumulates across the lifespan. Therefore, receptive vocabulary size is often conceived of as a proxy for
Sandra Bethke +2 more
doaj +1 more source
Hubungan Antara Penguasaan Kosakata Dan Motivasi Membaca Dengan Kemampuan Menulis Eksposisi (Penelitian di SMA Negeri 1 Jogonalan Kabupaten Klaten) [PDF]
Most high school students still have the ability and skill level is very low writing exposition. The purpose of this study was to determine the relationship between vocabulary and reading motivation with the ability to write exposition Jogonalan Klaten ...
, Dr. Yakub Nasucha, M.Hum. +2 more
core
OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source

