Locally activated semisynthetic fluorescent biosensors for imaging cellular biochemistry by Coïs, Justine, Dumat, Blaise

“…Biosensors based on fluorescent proteins are widely used as genetically encoded indicators due to their capacity to target various biological analytes (metal ions, reactive oxygen species, biomolecules, etc.) within cells with precise localization. …”
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Biological arrow of time: emergence of tangled information hierarchies and self-modelling dynamics by Mikhail Prokopenko, Paul C W Davies, Michael Harré, Marcus G Heisler, Zdenka Kuncic, Geraint F Lewis, Ori Livson, Joseph T Lizier, Fernando E Rosas

“…Our main conjecture is that when macro-scale patterns are encoded within micro-scale components, it creates fundamental tensions (computational inconsistencies) between what is encodable at a particular evolutionary stage and what is potentially realisable in the environment. …”
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In vivo production of engineered ACE2 decoy protects lungs from SARS-CoV-2 infection by Yuta Suzuki, Takayuki Miyazaki, Yoko Ida, Tatsuya Suzuki, Yumi Itoh, Shuto Nakao, Keita Kondo, Kenji Kubara, Keisuke Nishioka, Hiroki Muto, Ryuji Watari, Toshifumi Hirayama, Dai Kakiuchi, Shinya Sato, Satoshi Inoue, Yoshifumi Uemoto, Yohei Mukai, Atsushi Hoshino, Toru Okamoto, Junji Matsui

“…The 3N39v4-encoded mRNA was encapsulated in lipid nanoparticles for efficient in vivo delivery. …”
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Data distribution strategy based on the X-RDP array codes by Wu-nan WAN, Wang SUO, Yun CHEN, Tuo WANG

“…A theoretical proof that the X-RDP code is an MDS code was given by using algebraic definition. The encoding and decoding procedures were described by geometrical line graphs, which were easily implemented by soft hardware. …”
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DNA algorithm of primeness test based on finite automaton by YANG Xue-qing, LIU Zhong-kan

“…Finite automaton,a computational model of extremely limited computing ability,was proved to have the capa-bility of solving primeness test by construction.Then,a DNA algorithm of the primeness test based on finite automaton was proposed.Furthermore,the method of constructing the finite automaton was presented in detail.The state of the fi-nite automaton was encoded by single-stranded DNA.The input was encoded by double-stranded DNA.The transition rule was represented by a double strand with a ring.The state of transition was realized by enzyme-mediated chemical reactions.The innovation of the algorithm is that it can be applied not only in primeness test but also in prime factoriza-tion and further in attack of RSA cipher.The advantage of this method is that it can be easily implemented.The time re-quired is polynomial in the size of the problem instead of exponential in the size of the problem.…”
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Compilation and functional classification of telomere length-associated genes in humans and other animal species by E. V. Ignatieva, N. S. Yudin, D. M. Larkin

“…The human genes identified by several research groups in populations of different ethnic origins are the genes encoding telomerase components such as TERC and TERT as well as STN1 encoding the CST complex component. …”
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Uncovering novel functions of the enigmatic, abundant, and active Anaerolineae in a salt marsh ecosystem by Paige E. Payne, Loren N. Knobbe, Patricia Chanton, Julian Zaugg, Behzad Mortazavi, Olivia U. Mason

“…Yet, little is known about the metabolic pathways encoded and expressed in this abundant salt marsh clade. …”
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An Improved Speed Sensing Method for Drive Control by Manuel R. Arahal, Manuel G. Satué, Juana M. Martínez-Heredia, Francisco Colodro

“…In practical applications, the speed is often acquired by incremental rotary encoders. The most used method derives speed from an encoder pulse count during a fixed amount of time. …”
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On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios by Miguel O. Martínez-Rach, Pablo Piñol, Otoniel M. López, Manuel Perez Malumbres, José Oliver, Carlos Tavares Calafate

“…First, we deal with video sequences compressed by different encoders at different bitrates in order to properly measure the video quality degradation associated with the encoding system. …”
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High-Rate Redundant Space-Time Coding by Jawad Manssour, Afif Osseiran, Slimane Ben Slimane

“…We present a new space-time encoder based on packet-level redundancy which can increase the space-time encoder rate beyond unity without compromising diversity gains. …”
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Alternative graphemics. Aztec writing system as a case study towards an integrated, digitalised model of non-typographic graphemics by Antonio Perri, Luciano Perondi, Daniele Capo, Roberto Arista, Giampiero Dalai

“…It is sketched, then, a digital method processing sets of basic graphic features as non-linear combinations of variables; they display an overall structure similar to Unicode encoding of emoji. Finally, more coded variables are set to account for broader compositions, since coding systems available so far are not flexible enough to accommodate the encoding of Aztec units.…”
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First mitochondrial genome of Lutjanus ehrenbergii_ Peters 1869 (Lutjaniformes: Lutjanidae: Lutjanus) and phylogenetic analysis by Zengliang Miao, Shiyi Chen, Tingting Wang, Xun Jin, Shufei Zhang, Sixu Zheng, Yunpeng Wang, Taobo Feng, Luxiu Gao, Jian Chen

“…All of the protein-encoding genes were located on the H chain except ND6. …”
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Fast adaptive mode decision algorithm for H.264 based on spatial correlation by FENG Bin, LIU Wen-yu, ZHU Guang-xi

“…A fast adaptive inter prediction modes decision method was proposed to reduce the complexity of H.264 encoder.Firstly the candidate inter modes used in rate distortion optimization can be limited in a small mode group（MG）by using the characteristics of the motion compensated residual image.Then the two most probable modes of the chosen MG are obtained based on the modes of the up MB and the left MB.By calculating and comparing the rate distortion cost of the two modes,the optimum mode of the MB is determined.The experimental results show that the proposed method can save the encoding time up to 65% on average with ?…”
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Residual Vision Transformer and Adaptive Fusion Autoencoders for Monocular Depth Estimation by Wei-Jong Yang, Chih-Chen Wu, Jar-Ferr Yang

“…In the encoder, we construct a multi-scale feature extractor by mixing residual configurations of vision transformers to enhance both local and global information. …”
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Unsupervised data imputation with multiple importance sampling variational autoencoders by Shenfen Kuang, Yewen Huang, Jie Song

“…We propose a Missing data Multiple Importance Sampling Variational Auto-Encoder (MMISVAE) method to effectively model incomplete data. …”
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Insulator Semantic Segmentation in Aerial Images Based on Multiscale Feature Fusion by Zheng Cui, Chunxi Yang, Sen Wang

“…To solve these problems, this paper adopts an Encoder-Decoder architecture, called ED-Net, to realize end-to-end intelligent and accurate identification of insulators in aerial images. …”
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Complexity Analysis of New Future Video Coding (FVC) Standard Technology by Soulef Bouaafia, Randa Khemiri, Seifeddine Messaoud, Fatma Elzahra Sayadi

“…Second, a fast FVC mode decision is proposed to reduce encoding computational complexity. Then, a comparison between three configurations, namely, Random Access, Low-Delay B, and Low-Delay P, is proposed, in terms of Bitrate, PSNR, and encoding time. …”
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Encodage et décodage des récits historiques. Un cas : la série Le Canada, une histoire populaire by Olivier Côté

“…This article, based on the investigation of the CBC documentary archives and of the fond Ramsay Cook , examines the circulation of historical narratives within Canadian society through the analysis of the context of production of the TV series Canada: A People’s History – what we call ‘narrative encoding’ –, the study of the dynamics between CBC’s journalists and historians, and the decoding of this ‘encoded’ historical narrative by TV viewers who sent their e-mails to the CBC. …”
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Attention aware edge-node exchange graph neural network by Ruiqin WANG, Yimin HUANG, Qishun JI, Chaoyi WAN, Zhifeng ZHOU

“…An attention aware edge-node exchange graph neural network (AENN) model was proposed, which used edge-node switched convolutional graph neural network method for graph encoding in a graph structured data representation framework for semi supervised classification and regression analysis.AENN is an universal graph encoding framework for embedding graph nodes and edges into a unified latent feature space.Specifically, based on the original undirected graph, the convolution between edges and nodes was continuously switched, and during the convolution process, attention mechanisms were used to assign weights to different neighbors, thereby achieving feature propagation.Experimental studies on three datasets show that the proposed method has significant performance improvements in semi-supervised classification and regression analysis compared to existing methods.…”
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Multiscale Deep Network with Centerness-Aware Loss for Salient Object Detection by Liangliang Duan

“…Deep encoder-decoder networks have been adopted for saliency detection and achieved state-of-the-art performance. …”
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