Results 61 to 70 of about 23,810 (239)

Whole‐Genome Sequencing Pilot of the Central Asian Genomic Diversity Project Reveals Distinct Histories, Adaptation, and Introgression

Advanced Science, EarlyView.
As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang, Shuhan Duan, Qiuxia Sun, Renkuan Tang, Lintao Luo, Jie Zhong, Zhaxylyk Sabitov, CAGDP Consortium†, Lan‐Hai Wei, Chao Liu, Maxat Zhabagin, Guanglin He   +11 more
wiley   +1 more source

Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom

Domínios de Lingu@gem, 2014
Book Review: MCCARTEN, J. Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom. Cambridge: Cambridge University Press, 2007.
Raphael Marco Oliveira Carneiro
doaj   +1 more source

What Still Needs to be Noted: Pseudo-Clefts in the Academic Discourse of Applied Linguistics. [PDF]

Front Psychol, 2021
Zhou H, Chen M.
europepmc   +1 more source

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

Advanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo, Qiwen Yuan, Pengfei Zhang, Lin Sang, Zhong Zheng, Baotian Zhao, Xiu Wang, Chao Zhang, Wenhan Hu, Xiaoqiu Shao, Jianguo Zhang, Ruijin Yang, Kai Zhang   +12 more
wiley   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Zuczkowski, Andrzej, Ramona Bongelli, Ilaria Riccioni and Carla Canestrari (eds.) (2014). Communicating Certainty and Uncertainty in Medical, Supportive and Scientific Context. John Benjamins Publishing Company, pp. 413

Revista de Lenguas para Fines Específicos, 2016
Book Review: Zuczkowski, Andrzej, Ramona Bongelli, Ilaria Riccioni and Carla Canestrari (eds.) (2014). Communicating Certainty and Uncertainty in Medical, Supportive and Scientific Context. John Benjamins Publishing Company, pp. 413.
Estefanía Torrijos
doaj  

Deep Learning Prediction of O‐Glycopeptide Tandem Mass Spectra Enhances O‐Glycoproteomics

Advanced Science, EarlyView.
DeepGPO integrates Transformer and graph neural networks with tailored training strategies, including data augmentation, loss re‐weighting, and pre‐training, to achieve high‐quality O‐glycopeptide MS/MS spectra prediction. The predicted MS/MS spectra are used to localize O‐glycosylation sites from HCD MS/MS data, enhancing O‐glycoproteomics analysis ...
Yu Zong, Yuxin Wang, Liang Qiao
wiley   +1 more source

Critical and Multicultural Changing Times

Colombian Applied Linguistics Journal
...
Sandra Ximena Bonilla Medina
doaj   +1 more source

Complex Systems and Applied Linguistics

Studies in Applied Linguistics & TESOL, 2009
With this monograph, Diane Larsen-Freeman and Lynne Cameron unveil a complex systems approach to applied linguistics in the first book-length introduction to the topic.
Arieh Ari Sherris
doaj   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source