Results 101 to 110 of about 397,215 (279)
Multilingual Cross-domain Perspectives on Online Hate Speech
In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist, and sexist content.
Daelemans, Walter +6 more
core
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
A little bit about: analyzing and teaching lexical bundles in academic lectures
Author/s Elizabeth Neely and Viviana Cortes Georgia State University ABSTRACT For English as a second language (ESL) or English as a foreign language (EFL) students, high academic listening skills are essential in order to succeed at the ...
lvalue lvalue
doaj
Inducting Students into Professional Discourse: A Corpus-Based Study in English for Islamic Studies
In the context of teaching English for Islamic studies, English for Specific Purposes (ESP) is the prevalent approach. Students’ needs for their preparation toward their professional practice are central considerations in ESP.
Siti Asmiyah
doaj +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini +8 more
wiley +1 more source
The Incorporation of the Corpus-Based Approach in the Teaching of Second Language Writing
Writing is an indispensable skill in the realm of foreign language learning. Achieving a high level in such a skill is a complex undertaking. This complexity stems from the high standardised and conventionalised nature of writing, which entails ...
Abdeldjalil BOUGHEZAL
doaj
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou +8 more
wiley +1 more source
Towards an Estonian dataset on document-level subjectivity
This article discusses a preparatory step towards developing an Estonian dataset on subjectivity, providing a brief overview of past analyses of subjectivity and the theoretical basis for creating the dataset.
Karl Gustav Gailit +2 more
doaj +1 more source

