Results 171 to 180 of about 568,973 (334)

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction. [PDF]

Theor Appl Genet
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Inaba J, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, Iwata H.   +23 more
europepmc   +1 more source

MOESM6 of Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection

, 2017
Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund, Peter SĂ ̧Rensen   +7 more
openalex   +1 more source

Biodegradable Carbonate Nanogels Loaded with Anti MFAP‐5 siRNA for Anti‐stromal Therapy of Hepatocellular Carcinoma

Advanced Science, EarlyView.
Polycarbonate nanogels enable lipid‐free delivery of anti‐MFAP‐5 siRNA into cancer‐associated fibroblasts (CAF) in hepatocellular carcinoma. In a cirrhotic murine model, this approach silences MFAP‐5, reduces fibroblast activation, and suppresses tumor growth by inhibiting NOTCH/Hes1‐driven angiogenesis. CAF‐targeted MFAP‐5 RNAi and conserved signaling
Paul Schneider, Alexander Fuchs, Michael Fichter, Vanessa Bolduan, Jenny Schunke, Özlem Akilli, Nádia C. Correia, Yannick Ehlers, Christian Czysch, Pia Winterwerber, Eliana Stanganello, Barbara Schrörs, Mustafa Diken, Christoph Eckert, Shusruto Rishik, Andreas Keller, Jörn M. Schattenberg, Stephan Grabbe, Matthias Bros, Lutz Nuhn, Leonard Kaps   +20 more
wiley   +1 more source

Fast decision mechanism for ternary tree partitioning in VVC intra coding. [PDF]

PLoS One
Sun J, Zhu Z, Tu R, Xie Z.
europepmc   +1 more source

Hybrid template and block matching algorithm for image intra prediction

, 2012
Safa Chérigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez   +4 more
openalex   +1 more source

HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology

Ziqiao Weng, Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee Cooper, Weidong Cai, Bo Zhou   +6 more
openalex   +1 more source

Intra- and Peritumoral Radiomics Model Based on Early DCE-MRI for Preoperative Prediction of Molecular Subtypes in Invasive Ductal Breast Carcinoma: A Multitask Machine Learning Study

, 2022
Shuhai Zhang, Xiaolei Wang, Zhao Yang, Yun Zhu, Nannan Zhao, Yang Li, Jié He, Haitao Sun, Zongyu Xie   +8 more
openalex   +1 more source

Gαi1/3 Is a Novel Regulatory Target for RANKL Signal Transduction and Osteoporosis

Advanced Science, EarlyView.
ABSTRACT Osteoporosis, characterized by progressive bone loss and increased fracture risk, is a growing concern as the population ages. Current treatments, though advanced, remain limited, underscoring the necessity for novel therapeutic targets. Recent studies have shown that the immune system plays a key role in osteoporosis, with osteoclasts driving
Chaowen Bai, Mingchao Zhang, Le Liu, Lide Tao, Chenyang Xu, Hao Chai, Xin Shi, Yin Wang, Xiaopei Zhang, Qiong Chen, Dong Liu, Jinyu Bai, Chang She, Xiaozhong Zhou, Cong Cao, Huajian Shan   +15 more
wiley   +1 more source

Super-resolution and habitat radiomics based computed tomography machine-learning model for prediction of lung invasive adenocarcinoma: a multi-centre study. [PDF]

Quant Imaging Med Surg
Ma Y, Zhao P, Chen H, Ni H, Gu H, Lin Y, Liang W.   +6 more
europepmc   +1 more source