Spin coupling is all you need: Encoding strong electron correlation in molecules on quantum computers by Daniel Marti-Dafcik, Hugh G. A. Burton, David P. Tew

“…Here, we show that quantum computers can efficiently simulate strongly correlated molecular systems by directly encoding the dominant entanglement structure in the form of spin-coupled initial states. …”
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Encoding surprise by retinal ganglion cells. by Danica Despotović, Corentin Joffrois, Olivier Marre, Matthew Chalk

“…A central prediction of this theory is that neurons should preferentially encode stimuli that are most surprising. Previous studies suggest this may be the case in early visual areas, where many neurons respond strongly to rare or surprising stimuli. …”
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Use Cutting Enzymes to Encode the Secret Message by Saadoun A.

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Image cluster algorithm of hybrid encoding method by Chun-hui ZHAO, Xue-yuan LI, Ying CUI

“…In the clustering analysis based on swarm intelligence optimization algorithm,the most of encoding method only used single form,and this method might be limit range of search space,the algorithm was easy to fall into local op-timum.In order to solve this problem,image clustering algorithm of hybrid encoding (HEICA) was proposed.Firstly,a hybrid encoding model based on image clustering was established,this method could expand the scope of the search space.Meanwhile,it was combined with two optimization algorithms which improved rain forest algorithm (IRFA) and quantum particle swarm optimization (QPSO),this method could improve the global search capability.In the simulation experiment,it was carried out to illustrate the performance of the proposed method based on four datasets.Compared with results form four measured cluster algorithm.The experimental results show that the algorithm has strong global search capability,high stability and clustering effect.…”
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Efficient Text Encoders for Labor Market Analysis by Jens-Joris Decorte, Jeroen van Hautte, Chris Develder, Thomas Demeester

“…While state-of-the-art methods for skill extraction achieve strong performance, they depend on large language models (LLMs), which are computationally expensive and slow. …”
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Packet information encoding in a cerebellum-like circuit. by Alejo Rodríguez-Cattáneo, Ana Carolina Pereira, Pedro Anibal Aguilera, Ángel Ariel Caputi

“…Packet information encoding of neural signals was proposed for vision about 50 years ago and has recently been revived as a plausible strategy generalizable to natural and artificial sensory systems. …”
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A DNA Encoding Image Encryption Algorithm Based on Chaos by Li Huang, Cong Ding, Zhenjie Bao, Haitao Chen, Changsheng Wan

“…The experimental results and security analysis show that this algorithm has a large enough key space, strong key sensitivity, high image encryption quality, strong robustness and high encryption efficiency. …”
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An Image Encryption Method Based on the Feistel Network and Dynamic DNA Encoding by Xuncai Zhang, Zheng Zhou, Ying Niu

“…Based on the Feistel network and dynamic deoxyribonucleic acid (DNA) encoding technology, an image encryption method is proposed using the “permutation–diffusion–scrambling” structure. …”
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Genetically encoded far-red fluorescent sensors for caspase-3 activity by Olga A. Zlobovskaya, Tatiana F. Sergeeva, Marina V. Shirmanova, Varvara V. Dudenkova, George V. Sharonov, Elena V. Zagaynova, Konstantin A. Lukyanov

“…In the present work, we developed new genetically encoded sensors for caspase-3 activity possessing the most red-shifted spectra to date. …”
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A multi layered encryption framework using intuitionistic fuzzy graphs and graph theoretic domination for secure communication networks by A. Meenakshi, S. Dhanushiya, Leo Mrsic, Antonios Kalampakas, Sovan Samanta

“…Key graph-theoretic measures, such as domination number, vertex categorization (alpha-strong, beta-strong, and gamma-strong), vertex order coloring, and chromatic number, play important roles in this process. …”
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Phase-Image-Encryption-Based Elliptic Curve and Double-Random-Phase Encoding by Arabind Kumar, Sanjay Yadav, Tarul Garg

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Alternate encoder and dual decoder CNN-Transformer networks for medical image segmentation by Lin Zhang, Xinyu Guo, Hongkun Sun, Weigang Wang, Liwei Yao

“…Driven by these two designs, AD2Former demonstrates strong capture ability for target regions and fuzzy boundaries. …”
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Reversible Data Hiding Algorithm in Encrypted Images with Difference Encoding and Block Compression by Guoqing GE, Bin GE, Chenxing XIA, Zhimeng WANG

“…First, the difference-image matrix is classified and adaptively coded according to the maximum difference value within the block based on the differences of strong-correlation neighbors in local areas of the natural image. …”
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Reliability and Validity of the Articulation Motion Assessment System Using a Rotary Encoder by Hiroki Ito, Hideaki Yamaguchi, Mari Inoue, Hikaru Nagano, Ken Kitai, Kiichiro Morita, Takayuki Kodama

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Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network by Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai

“…Due to the stochastic variability of atmospheric water vapor across different regions, tropospheric delay exhibits strong regional characteristics. Empirical tropospheric delay models built on the reanalysis of meteorological data often show significant accuracy discrepancies across regions, failing to meet the needs for precise regional ZTD forecasting. …”
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Protocols for intermodule two-qubit gates mediated by time-bin encoded photons by Z. M. McIntyre, W. A. Coish

“…The backaction (on the stationary qubits) associated with the loss of the time-bin qubit is strongly suppressed in a non-Markovian regime where the temporal separation of the time bins is short compared to the dielectric environment's correlation time. …”
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The mouse posterior insular cortex encodes expressive and receptive aspects of courtship vocalizations by Thomas Pomberger, Katherine S. Kaplan, Rene Carter, Autumn Wetsel, Thomas C. Harmon, Richard Mooney

“…Summary: Socially effective vocal communication requires brain regions that encode expressive and receptive aspects of vocal communication in a social context-dependent manner. …”
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Arabidopsis thaliana GYRB3 does not encode a DNA gyrase subunit. by Katherine M Evans-Roberts, Christian Breuer, Melisa K Wall, Keiko Sugimoto-Shirasu, Anthony Maxwell

“…<h4>Conclusions/significance</h4>These data strongly suggest that AtGyrB3 is not a gyrase subunit but has another unknown function. …”
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Comparative Immunogenicity in Rabbits of the Polypeptides Encoded by the 5′ Terminus of Hepatitis C Virus RNA by Irina Sominskaya, Juris Jansons, Anastasija Dovbenko, Natalia Petrakova, Ilva Lieknina, Marija Mihailova, Oleg Latyshev, Olesja Eliseeva, Irina Stahovska, Inara Akopjana, Ivars Petrovskis, Maria Isaguliants

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The vestibular system implements a linear-nonlinear transformation in order to encode self-motion. by Corentin Massot, Adam D Schneider, Maurice J Chacron, Kathleen E Cullen

“…This response nonlinearity was characterized by a strong (~50%) attenuation in neuronal sensitivity to low frequency stimuli when presented concurrently with high frequency stimuli. …”
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