Comparative genomics and evolution of regulons of the LacI-family transcription factors
Frontiers in Microbiology, 2014 DNA-binding transcription factors (TFs) are essential components of transcriptional regulatory networks in Bacteria. LacI-family TFs (LacI-TFs) are broadly distributed among certain lineages of bacteria. The majority of characterized LacI-TFs sense sugar
Dmitry A Ravcheev +11 more
doaj +1 more source
Transmission of Population-Coded Information [PDF]
Neural Computation, 2012 As neural activity is transmitted through the nervous system, neuronal noise degrades the encoded information and limits performance. It is therefore important to know how information loss can be prevented. We study this question in the context of neural population codes.
Renart, Alfonso, van Rossum, Mark C W
openaire +4 more sources
Strategic information transmission and stochastic orders [PDF]
, 2012 I develop new results on uniqueness and comparative statics of equilibria in the Crawford and Sobel (1982) strategic information transmission game. For a class of utility functions, I demonstrate that logconcavity of the density implies uniqueness of ...
Szalay, Dezsö
core +2 more sources
Modeling of Real-Time Multimedia Streaming in Wi-Fi Networks With Periodic Reservations
IEEE Access, 2020 An important problem of modern Wi-Fis is the interferences caused by hidden stations active in the same area, or in multihop communications. All these issues significantly degrade the efficiency of the random channel access methods.
Evgeny Khorov +3 more
doaj +1 more source
Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia
New England Journal of Medicine, 2020 Background The initial cases of novel coronavirus (2019-nCoV)–infected pneumonia (NCIP) occurred in Wuhan, Hubei Province, China, in December 2019 and January 2020. We analyzed data on the first 425 confirmed cases in Wuhan to determine the epidemiologic
Qun Li +44 more
semanticscholar +1 more source
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks [PDF]
Design Automation Conference, 2018 Spiking neural networks (SNNs) are considered as one of the most promising artificial neural networks due to their energy-efficient computing capability.
Seongsik Park +3 more
semanticscholar +1 more source
Sugar Lego: gene composition of bacterial carbohydrate metabolism genomic loci
Biology Direct, 2017 Background Bacterial carbohydrate metabolism is extremely diverse, since carbohydrates serve as a major energy source and are involved in a variety of cellular processes.
Anna Kaznadzey +2 more
doaj +1 more source
On the Joint Usage of Target Wake Time and 802.11ba Wake-Up Radio
IEEE Access, 2020 Energy efficiency is a significant challenge for modern wireless networking devices. It is crucial for the Internet of Things devices, is required for battery-supplied user devices such as smartphones, and is advisable for high-performance devices such ...
Ekaterina Stepanova +3 more
doaj +1 more source
ProLab: A Perceptually Uniform Projective Color Coordinate System
IEEE Access, 2021 The construction of perceptually uniform color space is an important task of color theory. Many image processing applications requires the color difference to replicate human perception.
Ivan A. Konovalenko +3 more
doaj +1 more source
LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
IEEE Access, 2022 As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks – CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than traditional model-based detectors.
Lev Teplyakov +2 more
doaj +1 more source