Epigenetic and epitranscriptomic regulation during oncogenic γ-herpesvirus infection by Rajnish Kumar Singh, Ramakrishna Vangala, Atharva S. Torne, Dipayan Bose, Erle S. Robertson

“…The key viral proteins such as EBNA1 and LMP1 encoded by EBV; LANA and vGPCR encoded by KSHV; play pivotal roles in these modifications by interacting with host factors, and dysregulating signaling pathways. …”
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Image tampering localization model for intensive post-processing scenarios by TAN Shunquan, LIAO Guiying, PENG Rongxuan, HUANG Jiwu

“…Simultaneously, an end-to-end encoder-decoder structure, reminiscent of the UNet architecture, was formulated. …”
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GAD:topology-aware time series anomaly detection by Qi QI, Runye SHEN, Jingyu WANG

“…To solve the problems of anomaly detection,intelligent operation,root cause analysis of node equipment in the network,a graph-based gated convolutional codec anomaly detection model was proposed for time series data such as link delay,network throughput,and device memory usage.Considering the real-time requirements of network scenarios and the impact of network topology connections on time series data,the time dimension features of time series were extracted in parallel based on gated convolution and the spatial dependencies were mined through graph convolution.After the encoder composed of the spatio-temporal feature extraction module encoded the original input time series data,the decoder composed of the convolution module was used to reconstruct the time series data.The residuals between the original data and the reconstructed data were further used to calculate the anomaly score and detect anomalies.Experiments on public data and simulation platforms show that the proposed model has higher recognition accuracy than the current time series anomaly detection benchmark algorithm.…”
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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision by L. Balaji, K. K. Thyagharajan

“…Scaling consumes more encoding time and computational complexity during mode selection. …”
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A Simple Binary Run-Length Compression Technique for Non-Binary Sources Based on Source Mapping by Abdel-Rahman Jaradat, Mansour I. Irshid

“…Compression is achieved by encoding the number of “ones” between two consecutive “zeros” using either a fixed-length code or a variable-length code. …”
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Multiple symbol soft-output non-coherent detection of serial concatenated CPM by You-fu YANG, Jian-wei LIU, Qi-shan ZHANG, Chun-di XIU

“…A non-coherent detection algorithm for CPM was proposed.Several sequential symbols were used as the observation window to calculate the prior probability for codeword in CPM soft demodulation process,and the more observation symbols were used,the better performance the algorithm achieved.Non-coherent receiver architecture was given,in which expansion method of Walsh basis function was utilized to reduce the calculating amount in matched filtering.Non-coherent detection performances of convolutional encoding CPM system adopting the proposed algorithm,with different CPM modulation parameters,were compared through simulation.The results indicate that proposed non-coherent detection algorithm brings significant robustness.As to 2CPM,4CPM serial concatenated encoding modulation,when the observation length gets to 4 symbols,system with the proposed algorithm gets nearly 6dB performance improvement than with the single-symbol non-coherent detection algorithm.…”
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Quantum secure communication algorithm based on cyclic code and information compression by Hongyang MA, Xin ZHANG, Peng’ao XU, Fen LIU, Xingkui FAN

“…For the problem that the classical secure communication was challenging to transmit information,a quantum secure communication algorithm based on cyclic code and information compression was proposed.First,the data was encoded into two sets of data with different lengths by the sender,one set of data was used for cycling coding and the other one was used to compress coding.Second,single-photon sequence was transmitted to the receiver on the quantum channel by the sender.The error number was used as the basis of channel security detection.If the channel was secure,quantum states were encoded for the data,and segment transmitted by quantum stabilizer codes.The error caused by the environment can be overcome according to characteristic of the stable code.Finally,the information was decoded after receiving the quantum information,then recirculated and decompressed to obtain data.The security analysis shows that the quantum secure communication algorithm can resist the attack of jamming and spoofing attacked.The simulation results show that good results can be obtained to 5 segments for data compression.…”
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SER Performance of Enhanced Spatial Multiplexing Codes with ZF/MRC Receiver in Time-Varying Rayleigh Fading Channels by In-Ho Lee

“…We propose enhanced spatial multiplexing codes (E-SMCs) to enable various encoding rates. The symbol error rate (SER) performance of the E-SMC is investigated when zero-forcing (ZF) and maximal-ratio combining (MRC) techniques are used at a receiver. …”
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Dissipative Protection of a GKP Qubit in a High-Impedance Superconducting Circuit Driven by a Microwave Frequency Comb by L.-A. Sellem, A. Sarlette, Z. Leghtas, M. Mirrahimi, P. Rouchon, P. Campagne-Ibarcq

“…In a state-of-the-art experimental setup, we estimate that the encoded qubit lifetime could extend 2 orders of magnitude beyond the break-even point, with substantial margin for improvement through progress in fabrication and control electronics. …”
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Network structure influences the strength of learned neural representations by Ari E. Kahn, Karol Szymula, Sophie Loman, Edda B. Haggerty, Nathaniel Nyema, Geoffrey K. Aguirre, Dani S. Bassett

“…Referred to as graph learning, the process produces a model encoding the graph of event-to-event transition probabilities. …”
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Mitochondrial Ribosomal Proteins and Cancer by Huiyi Wu, Xiaowei Zhu, Huilin Zhou, Min Sha, Jun Ye, Hong Yu

“…Mitochondrial ribosomal proteins (MRPs) are encoded by nuclear genes and are assembled within the mitochondria. …”
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Variational Estimation of Optimal Signal States for Quantum Channels by Leonardo Oleynik, Junaid Ur Rehman, Hayder Al-Hraishawi, Symeon Chatzinotas

“…This article explores the performance of quantum communication systems in the presence of noise and focuses on finding the optimal encoding for maximizing the classical communication rate, approaching the classical capacity in some scenarios. …”
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Thyroid Nodule Ultrasound Image Segmentation Based on Improved Swin Transformer by Yue Wu, Lin Huang, Tiejun Yang

“…First, depthwise convolutional layers are integrated into the encoder/decoder of the Swin Transformer to enhance global-local feature representations. …”
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Generation of a transgene-free Induced pluripotent stem (iPS) cell line (JNCHi002-A) from a female heterozygous carrier of the low density lipoprotein receptor (LDLR) gene mutation... by Rujin Tian, Yixiao Li, Hongmei Xin, Yue Jiang, Haozheng Zhang, Lin Zhong, Zhongtao Gai, Qianqian Deng, Chunhui Wang, Kaihui Zhang

“…The low density lipoprotein receptor （LDLR) gene (OMIM#606945)encodes a protein of 860 amino acids. The encoded protein typically anchors itself to the cell membrane, where it facilitates the binding and internalization of low-density lipoprotein/cholesterol into the cell. …”
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A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem by Filip Vidojević, Andrijana Džamić, Dušan Džamić, Miroslav Marić

“…Additionally, using this encoding, a proper decomposition of the problem is feasible. …”
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Upper circumpolar deep water influences microbial functional gene composition and diversity along the southern Central Indian Ridge and eastern Southwest Indian Ridge by Sheryl Oliveira Fernandes, Dhiraj Paul, Surya Prakash Lankalapalli, Srinivas Rao Arvapalli, Vidya PJ, John Kurian Palayil

“…Up to 41% of microbial functional genes at both locations encoded for C-cycling. Availability of hydrothermally derived substrates in plumes detected along the ridges triggered an increase in the abundance of genes encoding for remediation of polycyclic aromatics, nitrate reduction, and arsenic and mercury resistance. …”
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Error-driven upregulation of memory representations by Alexander Weuthen, Hans Kirschner, Markus Ullsperger

“…Increased hemodynamic responses in posterior medial frontal cortex were found for internal and external origins of memory error evidence, and during post-error encoding success as quantified by subsequent recall of face-associated memories. …”
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Named entity recognition based on span and category enhancement for Chinese news by QI Ruiyan, LI Longjie, XU Shicheng, MA Ligong, MA Zhixin

“…This model was developed based on the bidirectional encoder representation pre-trained model with a Transformer structure (BERT) and was enhanced by span prediction and category description to improve recognition performance. …”
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Diverse neuronal activity patterns contribute to the control of distraction in the prefrontal and parietal cortex. by Panagiotis Sapountzis, Alexandra Antoniadou, Georgia G Gregoriou

“…We found that in both areas, salient distractors are encoded by both response enhancement and suppression by distinct neuronal populations. …”
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Network threat situation assessment based on unsupervised multi-source data feature analysis by Hongyu YANG, Fengyan WANG

“…Aiming at the limitations of supervised neural network in the network threat testing task relying on data category tagging,a network threat situation evaluation method based on unsupervised multi-source data feature analysis was proposed.Firstly,a variant auto encoder-generative adversarial network (V-G) for security threat assessment was designed.The training data set containing only normal network traffic was input to the network collection layer of V-G to perform the model training,and the reconstruction error of the network output of each layer was calculated.Then,the reconstruction error learning was performed by the three-layer variation automatic encoder of the output layer,and the training abnormal threshold was obtained.The packet threat was tested by using the test data set containing the abnormal network traffic,and the probability of occurrence of the threat of each group of tests was counted.Finally,the severity of the network security threat was determined according to the probability of threat occurrence,and the threat situation value was calculated according to the threat impact to obtain the network threat situation.The simulation results show that the proposed method has strong characterization ability for network threats,and can effectively and intuitively evaluate the overall situation of network threat.…”
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