Results 151 to 160 of about 146,912 (305)

La peña pedagógica

Cuaderno de Pedagogía Universitaria, 2017
Cpu Cuaderno
doaj   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

Advanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui, Yang Cui, Ruheng Wang, Xin Zeng, Zheyong Zhu, Ding Yi, Ruihua Guo, Tetsuya Sakurai, Kenta Nakai, Xiucai Ye, Leyi Wei, Yong Chen   +11 more
wiley   +1 more source

Editorial no. 28

Cuaderno de Pedagogía Universitaria, 2017
Cpu Cuaderno
doaj   +1 more source

Unpredictable Chronic Mild Stress Upregulates Dopamine Receptor Expression Independent of Fatty Acid-Binding Protein 7 Gene Deletion. [PDF]

Neurochem Res
Lu H, Roeder N, Richardson B, Hamilton J, Lagamjis G, Owada Y, Kagawa Y, Sharma A, Thanos PK.   +8 more
europepmc   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source

GPU-Accelerated Signal Processing for Distributed Vibration Sensing Based on OVNA Method. [PDF]

Sensors (Basel)
Meoli A, Vallifuoco R, Coscetta A, Zeni L, Minardo A.   +4 more
europepmc   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Enhancing Enzyme Activity With Mutation Combinations Guided by Few‐Shot Learning and Causal Inference

Angewandte Chemie, EarlyView.
We present an integrated workflow that predicts activity‐enhancing mutation combinations from minimal experimental data. By proposing in vivo unit yield (yield/expression) as a surrogate for kcat/Km through causal inference, and visualizing local activity landscape, it effectively guides product yield improvement. ABSTRACT Designing enzyme sequences to
Lin Guo, Xiaoguang Yan, Yali Lu, Shengxin Nie, Mingyue Ge, Yukun Li, Weiguo Li, Xiaochun Zhang, Dongmei Liang, Yihan Zhao, Hongxiao Tan, Xiling Chen, Shilong Fan, Yefeng Tang, Jianjun Qiao, Boxue Tian   +15 more
wiley   +2 more sources

Accelign: a GPU-based library for accelerating pairwise sequence alignment. [PDF]

BMC Bioinformatics
Kallenborn F, Dabbaghie F, Steinegger M, Schmidt B.   +3 more
europepmc   +1 more source

Enhanced Monocular Depth Estimation Using ResNet Backbone and Multiscale Feature Decoding for Precise Object Distance Measurement

Advanced Intelligent Systems, EarlyView.
A lightweight monocular perception framework generates high‐fidelity depth maps and integrates YOLOv8 detection to estimate object‐wise distances from a single RGB image. Evaluated on KITTI and the proposed D‐Far250 dataset, the system demonstrates accurate long‐range perception up to 250 m while maintaining real‐time performance, enabling scalable ...
Faseeh Muhammad, Misbah Bibi, Murad Ali Khan, Syed Shehryar Ali Naqvi, Adnan Ejaz Muhammad, Do-Hyeun Kim   +5 more
wiley   +1 more source