Single-cell chromatin accessibility landscape profiling reveals the diversity of epigenetic regulation in the rat nervous system by Peiyao Ma, Shanshan Duan, Wen Ma, Qiuting Deng, Yeya Yu, Peng Gao, Yue Yuan, Chuanyu Liu

“…Single-cell sequencing can provide information on cell-type-specific chromatin structure and regulatory elements, revealing differences in chromatin organization between different cell types and their potential roles of these differences in brain function. Here, we generated a chromatin accessibility dataset through single-cell ATAC-seq of 174,593 high-quality nuclei from 16 adult rat brain regions. …”
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Stock Price Pumping and Dumping Manipulation Detection Using Deep Learning Methods in Tehran Stock Exchange by meysam amiri, moslem peymany, Mohammad Ali Dehghan Dehnavi, Reza Jahanbin

“…In the following, by using the adversarial generative network, misbalancing of data has been solved, and by using multi-layer perceptron neural network models, recurrent neural network, long-short-term memory neural network, and radial basis function network, price manipulation has been detected. …”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

“…For the purpose of resolving those issues, a complete method is proposed, consisting of (1) an adaptive kernel function construction method for low-rank-representing the full-field displacement maps while retaining both global and local shape features, (2) an enhanced frequency domain decomposition approach for noise-robust mode shape estimation based on the kernel functions, and (3) extracting and fusing local shape features of multiple mode shapes for more accurate damage localization. …”
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Review of Brain Computer Interface Technology in the Treatment of Motor Dysfunction after Stroke by Yulian ZHU, Sijie LIANG

“…BCI is a communication system technology that combines hardware and software, which enables human beings to interact with the surrounding environment without being affected by peripheral nerves and muscles by using the control signals generated by EEG activities. It will help patients achieve certain functions and improve the quality of life by controlling the external devices. …”
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Novel selenoprotein neighborhoods suggest specialized biochemical processes by Daniel H. Haft, Igor Tolstoy

“…Selenoproteins, optimized by natural selection to encode selenocysteine where cysteine might have been encoded much more easily, carry a strong clue to their function—some specialized aspect of binding or catalysis. …”
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Features and Transformation Mechanism of Online and Offline Popularity in Digital Era Tourism of Ancient Towns: A Case Study of Lijiang Dayan Ancient Town by Chen Xiaokui, Mao Zhirui, Yi Chun, Gao Yujie

“…The top 10% of the space unit's online popularity contributed to more than 90% of the traffic and attendance, showing clear power-law attenuation characteristics. …”
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Comparative Efficacy of Quadratus Lumborum Muscle Energy Technique with Gluteus Medius Strengthening Versus Gluteus Medius Strengthening Alone in Sacroiliac Joint Dysfunction: A Ra... by Rabail Rani Soomro, Hossein Karimi, Syed Amir Gilani

“…Prior to initiating treatment, baseline measurements were taken using a hand-held dynamometer, visual analog scale (VAS), Oswestry Disability Index (ODI-U) and short form 36-item survey (SF-36v2) to assess strength, pain, functional disability and quality of life, respectively. …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…The study depends on two functional scenarios to quantitatively clarify the theoretical results. …”
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Multilingual education

“… [Summary generated by ChatGPT] Overview: This issue of Babylonia explores “Language Awareness” (Éveil aux langues), a pedagogical approach aimed at introducing students to linguistic and cultural diversity. …”
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Identification of a general O-linked protein glycosylation system in Acinetobacter baumannii and its role in virulence and biofilm formation. by Jeremy A Iwashkiw, Andrea Seper, Brent S Weber, Nichollas E Scott, Evgeny Vinogradov, Chad Stratilo, Bela Reiz, Stuart J Cordwell, Randy Whittal, Stefan Schild, Mario F Feldman

“…Although A. baumannii is considered as one of the more threatening "superbugs" for our healthcare system, little is known about the factors contributing to its pathogenesis. …”
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Denoising and deconvolving CT images of unknown origin: comparing linear Wiener-deconvolution with deep convolutional neural network Noise2Inverse by Simon Zabler, Antoine Klos, Pierre Lhuissier, Luc Salvo, Maziyar Farahmandi, Simon Wittl

“…Unlike Wiener filtering, N2I is far more effective in removing pixel noise. Yet, these models give the vague impression that they might generate ghosts of small features (pores or spots) in the object. …”
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A Novel Double Cluster and Principal Component Analysis-Based Optimization Method for the Orbit Design of Earth Observation Satellites by Yunfeng Dong, Xiaona Wei, Lu Tian, Fengrui Liu, Guangde Xu

“…The test results from a multiobjective numerical benchmark function and the orbit design results of an Earth observation satellite show that DCPC-based OM converges more efficiently than WSGA-based HM. …”
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A New Cipher Based on Feistel Structure and Chaotic Maps by Al-Bahrani et al.

“…Within the basic operator of the cipher, i.e., in the function of the round F, a dynamical lookup table 2D standard map system is used to enhance the complexity and diffusion of the unreadable text. …”
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Computational simulation study of the impact of isotropic GDL thermal conductivity on PEMFC characteristics by Mahmut Kaplan

“…The results indicate that an increase in the GDL thermal conductivity enhances the fuel cell current density considerably up to 20 W/mK and then the impact of the GDL thermal conductivity on the performance diminishes at 0.4 and 0.6 V. The power function provided a good fit with the calculated data. …”
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Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting by Chris Lochhead, Robert B. Fisher

“…The latent graph embeddings produced by this framework led to a novel semi-supervised weighting function which quantifies and ranks the most important joint features, which are used to provide a description for each pathology. …”
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Unveiling the potential of far-UVC: Assessing irradiance and dose-response for microbial inactivation in UV systems by Sudhanshu Pandey, Aku Karvinen, Jani Hakala

“…These parameters include diffuse irradiance (UV lamp efficiency), UV transmittance (UVT), and Reynolds number. An user-defined function calculates UV dosages received by microbes traversing the system. …”
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The role of radial head morphology in proximal radioulnar joint congruency during forearm rotation by Hailong Zhang, Guang Yang, Yi Lu

“…Abstract Purpose Congruency of the proximal radioulnar joint (PRUJ) is important in the rotation of the forearm while any compromise would significantly impair the elbow function. The purpose of this study is to determine the morphological features of the radial head and investigate its role in the congruency of the PRUJ during forearm rotation. …”
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Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

“…This paper discusses the decolorization process and provides an overview of the methods based on the different principles used: basic conversion from RGB to YUV format using ITU Recommendations 601, 709, and 2020; basic conversion from RGB to LAB color space; the method using cumulative distribution function of color channels; one global decolorization method; and one based on deep learning. …”
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Performance Study of Random Layout Light Source for Visible Light Communication System by Xizheng Ke, Yuwei Zheng, Jingyuan Liang, Huanhuan Qin

“…A particle swarm optimization algorithm is introduced based on the Matern hardcore point process, where the points generated under the Matern hardcore point process are used as the initial positions of the particles, and optimization adjustments are made according to the objective function to find the optimal layout. …”
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Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection by Jianyin Tang, Zhenglin Yu, ChangShun Shao

“…In addition, during the feature fusion stage, the Hybrid Attention Transformer (HAT) module is integrated into TopDownLayer2 to enhance the capture of long-term dependencies and the recovery of detailed information in the input data. To more accurately evaluate the similarity between the prediction box and the real bounding box, this paper uses the EIoU loss function instead of CIoU, thereby improving detection accuracy and accelerating model convergence. …”
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