Results 41 to 50 of about 197,254 (306)

Modern and Ancient Genomes Reveal Neolithic Paternal Expansions of Millet and Rice Farmers and Demic Diffusion from China into Mainland Southeast Asia

Advanced Science, EarlyView.
This study clarifies the genetic patterns of paternal lineages across East Asia and Mainland Southeast Asia. Han populations are relatively homogeneous, whereas southern ethnolinguistic minorities display regional structures. Shared Y‐chromosome lineages indicate Neolithic expansions and extensive north‐south gene flow, supporting demic diffusion ...
Yunhui Liu, Lintao Luo, Yutong Jiang, Minzhu Zhao, Ting Yang, Zhiyong Wang, Lisiteng Luo, Yuhang Feng, Zihao Zhu, Yuzhu Wang, Limei Zhang, Bofeng Zhu, Chao Liu, Renkuan Tang, Mengge Wang, Guanglin He   +15 more
wiley   +1 more source

Targeted Degradation of eEF2K by a Structure‐Guided PROTAC Strategy for the Treatment of Triple‐Negative Breast Cancer

Advanced Science, EarlyView.
This study developed an eEF2K‐targeting PROTAC, A6, that efficiently degrades eEF2K in TNBC cells, inhibiting tumor growth in vitro and in vivo. To enhance tumor‐specific delivery, we engineered A6@ZIF‐8, a pH‐sensitive nanocarrier, which improved drug accumulation at tumor sites, offering a promising therapeutic strategy for TNBC through targeted ...
Shijun Cao, Changxin Zhong, Shilong Jiang, Yungui Li, Yang Xi, Mingxuan Xiao, Ting Jiang, Xiaoya Wan, Zonglin Chen, Xiaohui Yu, Yan Cheng   +10 more
wiley   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Computational Linguistics

International Journal of Advances in Scientific Research and Engineering
Linguistics is concerned with rules that are followed by languages as a system. Computational linguistics(CL)combines the power of machine learning and human language.As a subfield of linguistics, CL is concerned with the computational description of rules that languages follow. Itis what powers anything in a machine or device that has to
Matthew N. O. Sadiku, Chandra M. M. Kotteti, Janet O. Sadiku   +2 more
  +5 more sources

Morphemic Structure of Lithuanian Words

Open Linguistics, 2016
The Lithuanian language is a typical flectional language that has a very sophisticated system of grammatical forms and many means of derivation; it is also characterized by uncertain boundaries between morphemes.
Rimkutė Erika, Kazlauskienė Asta, Utka Andrius   +2 more
doaj   +1 more source

A multidimensional characterization of the neurocognitive architecture underlying age-related temporal speech processing

NeuroImage, 2023
Healthy aging is often associated with speech comprehension difficulties in everyday life situations despite a pure-tone hearing threshold in the normative range.
Stefan Elmer, Ira Kurthen, Martin Meyer, Nathalie Giroud   +3 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Immersive auditory-cognitive training improves speech-in-noise perception in older adults with varying hearing and working memory

npj Science of Learning
Ageing is associated with elevated pure-tone thresholds, accompanied by increased difficulties in understanding speech-in-noise. While amplification provides important, but insufficient support, auditory-cognitive training (ACT) might propose a solution.
Vanessa Frei, Nathalie Giroud
doaj   +1 more source

Supporting Constructive Learning with a Feedback Planner [PDF]

, 2000
A promising approach to constructing more effective computer tutors is implementing tutorial strategies that extend over multiple turns. This means that computer tutors must deal with (1) failure, (2) interruptions, (3) the need to revise their tactics ...
Core, Mark G., Moore, Johanna, Zinn, Claus   +2 more
core   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source