OXPHOS genes analysis in the red mullet (Mullus barbatus Linnaeus, 1758) by Giada Santa Calogero, Marco Mancuso, Tanja Segvic-Bubic, Venera Ferrito, Anna Maria Pappalardo

“…The aims were to assess the genetic diversity in the studied populations and to detect the presence of positive selection on the two-target protein-encoded genes using tests of recombination and selection based on different models of evolution. …”
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Treatment Recommendation using BERT Personalization by J Jayapradha, Yukta Kulkarni, Lakshmi Vadhanie G, Palanichamy Naveen, Elham Abdulwahab Anaam

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A deep learning based multiple RNA methylation sites prediction across species by Sajid Shah, Saima Jabeen, Mohammed ElAffendi, Ishrat Khan, Muhammad Almas Anjum, Mohamed A. Bahloul

“…These models are trained and evaluated on human and mouse benchmark datasets for m1A, m6A, m5C, and A to I, methylation types. Secondly, this work investigates the effect of different encoding techniques on model performance, including one-hot encoding, Gene2Vec, and position encoding, as well as their combinations using concatenation, summation, and multiplication. …”
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Divergent neural circuits for proprioceptive and exteroceptive sensing of the Drosophila leg by Su-Yee J. Lee, Chris J. Dallmann, Andrew Cook, John C. Tuthill, Sweta Agrawal

“…We found that different subtypes of FeCO sensory neurons feed into distinct proprioceptive and exteroceptive pathways. Position- and movement-encoding FeCO neurons connect to local leg motor control circuits in the ventral nerve cord (VNC), indicating a proprioceptive function. …”
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Research on the automatic generation method of telecom re-complaints report based on improved Transformer model by LIANG Weiming, XIAO Jun, MA Xiaoliang, XIN Sheng, XU Rongbin

“…Additionally, the incorporation of customized position encoding enhanced the model’s ability to perceive complaint time series information, significantly improving the time logic and detailed completeness of the generated content. …”
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Cryptanalysis of an Image Encryption Algorithm Using DNA Coding and Chaos by Yuzhuo Zhao, Qiqin Shi, Qun Ding

“…The cryptanalysis scheme proposed in this paper can provide new ideas for subsequent cryptanalysis work and also provide some meaningful references for designers to improve the security of encryption algorithms when designing them. …”
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Synthesis and Antibacterial Activity of New 6″-Modified Tobramycin Derivatives by Kseniya S. Shapovalova, Georgy V. Zatonsky, Elizaveta A. Razumova, Daria A. Ipatova, Dmitrii A. Lukianov, Petr V. Sergiev, Natalia E. Grammatikova, Alexander S. Tikhomirov, Andrey E. Shchekotikhin

“…<b>Methods:</b> In this work, we proposed a synthetic route to new tobramycin derivatives modified at the 6″-position with aminoalkylamine or guanidinoalkylamine residues. …”
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CTSeg: CNN and ViT collaborated segmentation framework for efficient land-use/land-cover mapping with high-resolution remote sensing images by Jifa Chen, Gang Chen, Pin Zhou, Yufeng He, Lianzhe Yue, Mingjun Ding, Hui Lin

“…It is designed with parallel dual branches where the position-relation aggregation (PRA) blocks and others with channel relations (CRA) form the CNN-based encoding module, whereas the ViT-based one comprises multi-stage window-shifted transformer (WST) blocks with cross-window interactions. …”
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Regulatory effect of polyamines and indole on expression of stress adaptation genes in <i> Escherichia coli </i> by E. A. Khaova, N. M. Kashevarova, A. G. Tkachenko

“…However, the molecular targets and mechanisms of action of these metabolites are still poorly understood. In this work, we studied the effect of polyamines and indole on the expression of such genes as: rpoS, relA, and spoT, encoding regulators of the general stress responses and starvation; hns and stpA, encoding global regulators of gene expression; rmf, yqjD, hpf, raiA, rsfS, sra, ettA, encoding ribosome hibernation factors.The aim. …”
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A Computational Model of Attention-Guided Visual Learning in a High-Performance Computing Software System by Alice Ahmed, Md. Tanim Hossain

“…The model includes an all-attention layer with embedded input vectors, non-contextual vectors containing generic task-relevant information, and self-attentional and feedforward layers. The work employs relative two-dimensional positional encoding to address the challenge of encoding two-dimensional data such as photographs. …”
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An Adaptive Transformer Model for Long-Term Time-Series Forecasting of Temperature and Radiation in Photovoltaic Energy Generation by Asmaa Mohamed El-Saieed

“…A unique positional encoding layer is incorporated to bolster the model’s comprehension of the chronological sequence of data points. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…Unlike previous approaches that use one-hot encoding, which increases dimensionality, our method employs label encoding and information gain to preserve critical information while reducing feature dimensions. …”
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Learning place cells and remapping by decoding the cognitive map by Markus Borud Pettersen, Vemund Schøyen, Anders Malthe-Sørenssen, Mikkel E Lepperød

“…Place cells are accompanied by many other spatially tuned cells, such as border cells and grid cells, but how these cells interact during navigation and remapping is unknown. In this work, we build a normative place cell model wherein a neural network is tasked with accurate position reconstruction and path integration. …”
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Performance analysis of a filtering variational quantum algorithm by Gabriel Marin-Sanchez, David Amaro

“…We employ noiseless simulators for problems encoded on 13–29 qubits, and up to 37 qubits on the IBMQ real quantum devices. …”
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An Advanced Natural Language Processing Framework for Arabic Named Entity Recognition: A Novel Approach to Handling Morphological Richness and Nested Entities by Saleh Albahli

“…The proposed model incorporates a Hybrid Feature Fusion Layer, which integrates external lexical features using a cross-attention mechanism and a Gated Lexical Unit (GLU) to filter noise, while a Compound Span Representation Layer employs Rotary Positional Encoding (RoPE) and Bidirectional GRUs to enhance the detection of complex entity structures. …”
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Transcriptional control of visual neural circuit development by GS homeobox 1. by Alexandra R Schmidt, Haiden J Placer, Ishmael M Muhammad, Rebekah Shephard, Regina L Patrick, Taylor Saurborn, Eric J Horstick, Sadie A Bergeron

“…This work is the first to implicate gsx1 in establishing cell identity and functional neural circuits in the visual system.…”
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PLFF-SLAM: A Point and Line Feature Fused Visual SLAM Algorithm for Dynamic Illumination Environments by Shucheng Huang, Wenhan Ren, Mingxing Li

“…However, in environments with dynamic lighting changes, current state-of-the-art visual SLAM techniques are vulnerable to trajectory drift, which leads to poor robustness and low positioning accuracy. This work proposes PLFF-SLAM, a point and line feature fused visual SLAM method, as a solution to these issues. …”
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A direct experimental test of Ohno’s hypothesis by Ljiljana Mihajlovic, Bharat Ravi Iyengar, Florian Baier, Içvara Barbier, Justyna Iwaszkiewicz, Vincent Zoete, Andreas Wagner, Yolanda Schaerli

“…Competing hypotheses argue that deleterious mutations will usually inactivate gene duplicates too rapidly for Ohno’s hypothesis to work. We experimentally tested Ohno’s hypothesis by evolving one or exactly two copies of a gene encoding a fluorescent protein in Escherichia coli through several rounds of mutation and selection. …”
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Spatial electron-photon entanglement by Eitan Kazakevich, Hadar Aharon, Ofer Kfir

“…In the future, the atomic scale precision of electron microscopes can harness such position-encoded free-e^{−} entangled qubits for novel quantum sensing and quantum transduction.…”
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Alzheimer’s Disease Detection in Various Brain Anatomies Based on Optimized Vision Transformer by Faisal Mehmood, Asif Mehmood, Taeg Keun Whangbo

“…The ViT-based model comprises a linear projection of image patches, positional encoding, a transformer encoder, and a Multi-Layer Perceptron (MLP) head with a Softmax classifier for multiclass AD classification. …”
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