Results 51 to 60 of about 200,505 (213)

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

FEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli, Mohammad Nour Alsamsam, Ugnė Bagdonaitė, Van Truc Vu, Chun‐Jen Huang, Polina Kuzhir, Mindaugas Zaremba, Aurimas Kopūstas, Marijonas Tutkus   +8 more
wiley   +1 more source

Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality

Cancer Management and Research, 2009
Hongbin Zhu1, Chaijie Duan1, Perry Pickhardt2, Su Wang1, Zhengrong Liang1,31Department of Radiology, 3Department of Computer Science, State University of New York, Stony Brook, NY, USA; 2Department of Radiology, University of Wisconsin Medical School ...
Hongbin Zhu, Chaijie Duan, Perry Pickhardt, Su Wang, et al.   +4 more
doaj  

SGLFormer: Spiking Global-Local-Fusion Transformer with high performance

Frontiers in Neuroscience
IntroductionSpiking Neural Networks (SNNs), inspired by brain science, offer low energy consumption and high biological plausibility with their event-driven nature.
Han Zhang, Han Zhang, Chenlin Zhou, Liutao Yu, Liwei Huang, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Xiaopeng Fan, Huihui Zhou, Yonghong Tian, Yonghong Tian   +11 more
doaj   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

FEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

LVGG-IE: A Novel Lightweight VGG-Based Image Encryption Scheme

Entropy
Image security faces increasing challenges with the widespread application of computer science and artificial intelligence. Although chaotic systems are employed to encrypt images and prevent unauthorized access or tampering, the degradation that occurs ...
Mingliang Sun, Jie Yuan, Xiaoyong Li, Dongxiao Liu, Xinghai Wei   +4 more
doaj   +1 more source

Reduced-Gate Convolutional LSTM Using Predictive Coding for Spatiotemporal Prediction

, 2019
Spatiotemporal sequence prediction is an important problem in deep learning. We study next-frame(s) video prediction using a deep-learning-based predictive coding framework that uses convolutional, long short-term memory (convLSTM) modules.
Bayoumi, Magdy, Elsayed, Nelly, Maida, Anthony S.   +2 more
core   +1 more source

Rapid screening of staphylokinase protein variants using an unpurified cell‐free expression system

FEBS Open Bio, EarlyView.
An unpurified cell‐free protein synthesis (CFPS) platform enables rapid functional screening of staphylokinase variants. Direct plasminogen‐activation assays performed in microplate format provide real‐time activity readouts, allowing rapid identification and ranking of variants with improved or reduced fibrinolytic activity without protein ...
Maria Tomková, Veronika Hovanová, Jiri Damborsky, Erik Sedlák   +3 more
wiley   +1 more source

Parallel Multi Channel Convolution using General Matrix Multiplication

, 2017
Convolutional neural networks (CNNs) have emerged as one of the most successful machine learning technologies for image and video processing. The most computationally intensive parts of CNNs are the convolutional layers, which convolve multi-channel ...
Anderson, Andrew, Gregg, David, Vasudevan, Aravind   +2 more
core   +1 more source

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

Scalable Online Convolutional Sparse Coding

, 2017
Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data. However, existing CSC algorithms operate in the batch mode and are expensive, in terms of both space and time, on large datasets.
Kwok, James T., Ni, Lionel M., Wang, Yaqing, Yao, Quanming   +3 more
core   +1 more source