CUT&Tag recovers up to half of ENCODE ChIP-seq histone acetylation peaks by Leyla Abbasova, Paulina Urbanaviciute, Di Hu, Joy N. Ismail, Brian M. Schilder, Alexi Nott, Nathan G. Skene, Sarah J. Marzi

“…We tested peak callers MACS2 and SEACR and identified optimal peak calling parameters. Overall, peaks identified by CUT&Tag represent the strongest ENCODE peaks and show the same functional and biological enrichments as ChIP-seq peaks identified by ENCODE. …”
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Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. by Jörn Diedrichsen, Nikolaus Kriegeskorte

“…In RSA, the unequal variances and statistical dependencies of the dissimilarity estimates need to be taken into account to reach near-optimal power in inference. The three methods render different aspects of the information explicit (e.g. single-response tuning in encoding analysis and population-response representational dissimilarity in RSA) and have specific advantages in terms of computational demands, ease of use, and extensibility. …”
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GAT-Enhanced YOLOv8_L with Dilated Encoder for Multi-Scale Space Object Detection by Haifeng Zhang, Han Ai, Donglin Xue, Zeyu He, Haoran Zhu, Delian Liu, Jianzhong Cao, Chao Mei

“…The local features extracted by convolutional neural networks are mapped to graph-structured data, and the nodal attention mechanism of GAT is used to capture the global topological association of space objects, which makes up for the deficiency of the convolutional operation in weight allocation and realizes GAT integration. The Dilated Encoder network is introduced to cover different-scale targets by differentiating receptive fields, and the feature weight allocation is optimized by combining it with a Convolutional Block Attention Module (CBAM). …”
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Underwater acoustic classification across diverse sea environments using adaptive regularization and knowledge encoding by Muhammad Azeem Aslam, Muhammad Irfan, Xu Wei, Wang Jun, Hu Hongfei, Wang Shiyu, Xin Liu, Shahid Ali

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A quantum random access memory (QRAM) using a polynomial encoding of binary strings by Priyanka Mukhopadhyay

“…Additionally, with our polynomial encoding of bit strings, we develop a method to optimize the Toffoli-count of circuits, specially those consisting of multi-controlled-NOT gates.…”
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Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding by Tiance Tong, Qiang He, Xiaofei Nie, Yudi Zhao

“…To realize high-energy-efficiency and low-cost hardware neural networks at the near-sensor end, a hardware optimization design of convolutional neural networks based on the hybrid encoding of deterministic encoding and binary encoding is proposed. …”
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Improved Decoy-State Measurement-Device-Independent Quantum Key Distribution With Imperfect Source Encoding by Xingyu Zhou, Chunmei Zhang, Guangcan Guo, Qin Wang

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Advancements in Coded Computation: Integrating Encoding Matrices with Data Shuffling for Enhanced Data Transmission Efficiency by Yuan Shijie

“…Data shuffling techniques, by reordering data, decrease communication overhead and computational burden, thereby optimizing the coding computation process. This paper analyzes various data shuffling methods, their integration with encoding matrices, and their impact on computational efficiency and data transmission. …”
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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence by Saeed Iqbal, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, Muhammad Azeem Akbar

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Encoding-Based Machine Learning Approach for Health Status Classification and Remote Monitoring of Cardiac Patients by Sohaib R. Awad, Faris S. Alghareb

“…The developed ANN classifier and proposed encoding-based ML model are compared to other conventional ML-based models, such as Naive Bayes, SVM, and KNN for model accuracy evaluation. …”
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Sequential SAR-to-Optical Image Translation by Jingbo Wei, Huan Zhou, Peng Ke, Yaobin Ma, Rongxin Tang

“…A variational autoencoder is employed to encode and decode images, enabling the diffusion model to learn the distribution of features within optical image sequences. …”
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Quantum optical classifier with superexponential speedup by Simone Roncallo, Angela Rosy Morgillo, Chiara Macchiavello, Lorenzo Maccone, Seth Lloyd

“…Here, we present a quantum optical pattern recognition method for binary classification tasks. …”
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Topological optical skyrmion transfer to matter by Chirantan Mitra, Chetan Sriram Madasu, Lucas Gabardos, Chang Chi Kwong, Yijie Shen, Janne Ruostekoski, David Wilkowski

“…Despite their promise as mechanisms for data encoding and storage, there has been a lack of studies addressing the transfer and storage of the topology of optical skyrmions to matter. …”
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An LDPC Encoder Architecture With Up to 47.5 Gbps Throughput for DVB-S2/S2X Standards by Decai Liu, Yanfei Luo, Yunfeng Li, Zhijie Wang, Zhengxuan Li, Qianwu Zhang, Junjie Zhang, Yingchun Li

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Single-View Encoding of 3D Light Field Based on Editable Field of View Gaussian Splatting by Shizhou Shi, Chaoqun Ma, Jing Liu, Changpei Ma, Feng Zhang, Xiaoyu Jiang

“…The proposed method integrates light field image encoding with the tiled rendering technique of 3DGS. …”
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A Framework for Fully Programmable Frequency-Encoded Quantum Networks Harnessing Multioutput Quantum Pulse Gates by Patrick Folge, Michael Stefszky, Benjamin Brecht, Christine Silberhorn

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Construction of a Microfluidic Platform for Quantitative Detection of Multiple Fusarium Toxins Based on Upconversion Encoded Microspheres by Shengjie WANG, Yongli YE, Jingdong SHAO, Xiulan SUN, Jiadi SUN

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Efficiently charting the space of mixed vacancy-ordered perovskites by machine-learning encoded atomic-site information by Fan Zhang, Li Fu, Weiwei Gao, Peihong Zhang, Jijun Zhao

“…Here, we illustrate the diverse electronic and optical characteristics as well as the nonlinear mixing effects within mixed VODPs. …”
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PM2.5 Prediction Using Genetic Algorithm-Based Feature Selection and Encoder-Decoder Model by Minh Hieu Nguyen, Phi Le Nguyen, Kien Nguyen, Van An Le, Thanh-Hung Nguyen, Yusheng Ji

“…Our approach’s novelty is to utilize the genetic algorithm (GA) and an encoder-decoder (E-D) model for PM2.5 prediction. …”
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Histamine release factor encoding gene in Hyalomma anatolicum ticks is over-expressed during deltamethrin exposure by Mohammed H. Al-Saadi, Israa M. Essa, Akram M. Amanah, Ali M. Essa

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