Results 251 to 260 of about 13,016,067 (358)

Improving bank customer churn prediction with feature reduction using GA. [PDF]

Sci Rep
T N N, Pramod D.
europepmc   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Test-Time Augmentations and Quality Controls for Improving Regional Seismic Phase Picking. [PDF]

Sensors (Basel)
Han B, Tang L, Ma L, Kong H, Xiao Z.
europepmc   +1 more source

Dual Targeting of Tau Kinases and Autophagy by Abemaciclib Independent of CDK4/6 Inhibition

Advanced Science, EarlyView.
Abemaciclib rescues cognitive function and attenuates tau pathology in Alzheimer's disease models, but not through its known cancer‐fighting mechanism. This study demonstrates that abemaciclib operates independently of CDK4/6 inhibition, instead directly targeting tau kinases CaMKII and GSK3β while simultaneously promoting autophagic clearance of ...
Jihui Han, June‐Hyun Jeong, Dongjoon Lee, Yujin Jung, Yujin Jin, Eun Sun Jung, Haeng Jun Kim, Woo Youn Kim, Chang‐Han Lee, Inhee Mook‐Jung   +9 more
wiley   +1 more source

Impact of green credit policy on the operation of Vietnamese commercial banks: An empirical study using difference-in-differences model. [PDF]

PLoS One
Nguyen MP, Phan A.
europepmc   +1 more source

Discovery of a Novel DNMT1 Inhibitor with Improved Efficacy in Treating β‐Thalassemia

Advanced Science, EarlyView.
Context of Research: β‐thalassemia affects millions worldwide. DNMT inhibitors are effective HbF‐inducers that benefit patients with β‐thalassemia. Existing DNMT inhibitors are not approved for β‐thalassemia treatment due to dose‐limiting toxicity.What We Find: DMT207 traps DNMT1 into helix‐kinked inactive conformation and enhances its interaction with
Yijie Shen, Jiale Wei, Shibing Tang, Dongliang Wu, Liangyi Zong, Shuyuan Ma, Qing Xiong, Ruijie Gong, Siyuan Xu, Chuxuan Peng, Qin Feng, Songchen Liu, Qitong Liu, Yuhua Ye, Quan Zhao, Cheng Luo, Peng Huang, Zhihai Li, Xiangqian Kong, Xianjiang Lan   +19 more
wiley   +1 more source

Sustaining community self-help groups beyond donor support: lessons from a qualitative study of self-help groups, including persons affected by leprosy and disability in rural India. [PDF]

BMJ Open
Darlong J, Charles MV, Ilozumba O, Govindasamy K, Shrivastva A, Choudhury S, Sartori J, Lindenmeyer A, Lilford RJ, Griffiths F.   +9 more
europepmc   +1 more source

A Conjugation Delivery System of Macrophages and Platelet Pharmacytes Promotes Regeneration After Spinal Cord Injury

Advanced Science, EarlyView.
A macrophage–platelet conjugation system (M‐P‐NPs@PPARγ) targets injure tissue to co‐deliver platelet mitochondria and PPARγ‐encoding NPs. This strategy boosts the macrophage energy supply and restores lipid homeostasis, leading to synergistically enhanced efferocytosis and tissue repair Abstract Mitochondrial dysfunction occurs in macrophages with ...
Haoli Wang, Hao Hu, Yijun Li, Lintao Hu, Chenhui Gu, Yiwei Zhu, Jing Huang, Na Li, Shuqi Jiang, Shouyan Zu, Jiachen Xu, Yining Wang, Ke Yang, Pengfei Chen, Liqing Shangguan, Yongcheng Wang, Shunwu Fan, Xianfeng Lin, Qingqing Wang   +18 more
wiley   +1 more source

Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques. [PDF]

Sci Rep
Chaitanyaswami H, Dobariya A, Iyer S, Chen CL, Liu LC, Uddin M, Hussain S.   +6 more
europepmc   +1 more source

Learned Conformational Space and Pharmacophore Into Molecular Foundational Model

Advanced Science, EarlyView.
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang, Yifan Wu, Hao Luo, Minglong Liang, Yihang Zhou, Cheng Chen, Chris Liu, Jun Zhang, Yang Zhang   +8 more
wiley   +1 more source