Results 121 to 130 of about 263,174 (307)

British male students continue to fall behind in secondary school achievement [PDF]

, 2015
It is common knowledge that boys fall behind in school performance, and UK policy makers have addressed this issue in the past decade. In fact, they seem committed to narrowing gender gaps of any kind.
Stoet, Gijsbert
core  

Inactivation Rap2a in Endothelial Cell Prevents Pulmonary Fibrosis by Regulating Immune Microenvironment Through MAP4K4‐VCAM1 Signaling

Advanced Science, EarlyView.
We identified the endothelial RAP2A as a regulator of inflammatory endothelial activation in experimental lung fibrosis and suggest that targeting RAP2A‐mediated signaling may represent a potential strategy to modulate endothelial–immune crosstalk during fibrotic lung injury.
Xiaolan Zheng, Peng Yue, Kaiyu Zhou, Guidong Gong, Yue Zhang, Sha Lin, Xu Liu, Yanjiang Zheng, Siyuan Jing, Junling Guo, Yan Qi, Bi‐Sen Ding, Yimin Hua, Yifei Li   +13 more
wiley   +1 more source

Accounting data anomaly detection and prediction based on self-supervised learning

Frontiers in Applied Mathematics and Statistics
This study proposes a Hierarchical Fusion Self-Supervised Learning (HFSL) framework to address the challenge of scarce labeled data in accounting anomaly detection, integrating domain knowledge with advanced deep learning techniques.
Yingying Zhang, Bingbing Duan
doaj   +1 more source

The choice of adopting inflation targeting in emerging economies: Do domestic institutions matter? [PDF]

Over the last decade, a growing number of emerging countries has adopted inflation targeting as monetary policy framework. In a recent paper, Freedman and Laxton (2009) ask the question “Why Inflation Targeting?”. This paper empirically investigates this
Yannick Lucotte
core  

Multimodal Cross‐Attentive Graph‐Based Framework for Predicting In Vivo Endocrine Disruptors

Advanced Science, EarlyView.
A multimodal cross‐attentive graph neural network integrates molecular graphs with androgen and estrogen adverse outcome pathway (AOP)–anchored in vitro assay signals to predict in vivo endocrine disruption. By fusing information on Tier‐1 AOP logits with chemical structures, the framework achieves high accuracy and provides assay‐traceable ...
Eder Soares de Almeida Santos, Gustavo Felizardo Santos Sandes, Artur Christian Garcia da Silva, Holli‐Joi Martin, Eugene N. Muratov, Rodolpho de Campos Braga, Bruno Junior Neves   +6 more
wiley   +1 more source

QSAR, molecular docking, molecular dynamics and DFT-based design of novel Quinoline-2-yl (piperazin-1-yl) inhibitors of hepatitis C virus

NAM Journal
Liver cirrhosis and hepatocellular cancer are brought on by the hepatitis C virus (HCV). Since the virus's discovery, significant therapeutic advancements have been made.
Abubakar Sadiq Bello, A. Uzairu, G.A Shallangwa, A. ibrahim, Mujeeb Khan, M.T. Ibrahim   +5 more
doaj   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

Advanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang, Yang Wu, Feng Zhang, Parthiban Periasamy, Haiyue You, Denise Goh, Rachel Elizabeth Ann Fincham, Xin Ning, Danping Wu, Lu Liu, Ying Jiang, Zhiwen Qian, Joe Yeong, Yan Zhang   +13 more
wiley   +1 more source

Does Inflation Targeting Improve Fiscal Discipline? An Empirical Investigation [PDF]

Based on panel data of 58 countries, of which 22 Inflation Targeters and 36 non Inflation Targeters, over the period 1980-2003, this paper highlights the effect of Inflation Targeting – IT- on Fiscal Discipline –FD-.
Rene Tapsoba
core   +3 more sources

Construction of an interpretable machine learning model for predicting gestational diabetes mellitus based on 45 dietary nutrients

BioData Mining
Objective This study aimed to develop and validate a machine learning (ML)-based model for predicting the risk of gestational diabetes mellitus (GDM) using 45 dietary nutrients and baseline data.
Zhihui Xiong, Yi Yuan, Zhouhui Yun, Lijie Li, Yunmeng Chen   +4 more
doaj   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source