New views on strand asymmetry in insect mitochondrial genomes. by Shu-Jun Wei, Min Shi, Xue-Xin Chen, Michael J Sharkey, Cornelis van Achterberg, Gong-Yin Ye, Jun-Hua He

“…Strand asymmetry in nucleotide composition is a remarkable feature of animal mitochondrial genomes. Understanding the mutation processes that shape strand asymmetry is essential for comprehensive knowledge of genome evolution, demographical population history and accurate phylogenetic inference. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…The rapid evolution of wireless communication has necessitated advanced waveform analysis for beyond-fifth-generation (B5G) and sixth-generation (6G) radio networks, focusing on efficient spectrum utilization. …”
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Le rédactionnel des périodiques de manga ou comment un objet éditorial non identifié témoigne de la globalisation culturelle by Bounthavy Suvilay

“…Reflecting its polysemous nature in Japan and its adaptation across diverse media, these publications include magazines featuring Japanese comics, adaptations of animated series, and works inspired by Japanese creations. …”
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Le présidial de Limoges : édifier une réforme de la justice à la fin de l’Ancien Régime by Laure Leroux

“…It took part in the urban monumental landscape as proved by the old cartography featuring the enclosure of justice. The creation of Henri II's présidial on this plaza, in a former Presbyterian house, was therefore part of a longstanding civic tradition. …”
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Specifics of the Latin American world view construction by A. F. Kofman

“…One of the reasons is that the latter has evolved by absorbing and processing the European literary patterns: this path of evolution is defined as «the search for one’s own in someone else’s». …”
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Adiabatic state conversion for (a)cyclic non-Hermitian quantum Hamiltonians of generalized functional form by Nicholas S. Nye, Nikolaos V. Kantartzis

“…Such a mode switching behavior is found to be an identifying feature of dissipative quantum settings, whether they evolve along cyclic or acyclic trajectories, and this has been proven in our paper by separately analyzing the dynamics of (i) the ratio of the state vector components, via a variant of the Möbius transformation, and (ii) the complex probability amplitudes, through a systematic inspection of the mode population equations. …”
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Perturbation-response analysis of in silico metabolic dynamics revealed hard-coded responsiveness in the cofactors and network sparsity by Yusuke Himeoka, Chikara Furusawa

“…This pronounced responsiveness is a characteristic feature of metabolic dynamics, especially since such strong responses are seldom seen in toy models of the metabolic network. …”
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Analysis on spatial correlation characteristics of transportation carbon intensity of China based on complex network theory by XIE Qing;LIU Jiabao

“…With the help of spatial econometric analysis and complex network theory, this paper quantifies the transportation carbon intensity of provinces in China from 2009 to 2021, analyzes its spatial and temporal characteristics by gini coefficient and kernel density estimation, and studies the structural evolution of spatial correlation networks for every provinces′ transportation carbon intensity by using improved gravity model and network characteristic indices. …”
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Refining pairwise sequence alignments of membrane proteins by the incorporation of anchors. by René Staritzbichler, Edoardo Sarti, Emily Yaklich, Antoniya Aleksandrova, Marcus Stamm, Kamil Khafizov, Lucy R Forrest

“…The alignment of primary sequences is a fundamental step in the analysis of protein structure, function, and evolution, and in the generation of homology-based models. …”
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Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning by Tongzhao Xiong, Zhaorong Liu, Yufei Wang, Chong Jin Ong, Lailai Zhu

“…Can AI endow these synthetic systems with intelligence akin to that honed through natural evolution? Here, we demonstrate, in silico, chemotactic navigation in a multi-link robotic model using two-level hierarchical reinforcement learning (RL). …”
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Social preferences in chickens–effects of domestication and tameness by Johanna Gjøen, Per Jensen

“…It has been suggested that evolution of domesticated phenotypes may have evolved as a result of correlated selection responses to reduced fear, a prominent feature in early domestication. …”
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Sound symbolism is not "marginal" in Chinese: Evidence from diachronic rhyme books. by Yingying Meng, Yuwei Wan, Chunyu Kit

“…Furthermore, a historical perspective is lacking to determine whether sound symbolism is merely a feature of archaic languages or has remained a significant element throughout the evolution of languages. …”
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An Adapter and Segmentation Network-Based Approach for Automated Atmospheric Front Detection by Xinya Ding, Xuan Peng, Yanguang Xue, Liang Zhang, Tianying Wang, Yunpeng Zhang

“…The framework’s modular design allows for potential application to other meteorological feature detection tasks. Future work will focus on incorporating temporal dynamics for frontal evolution prediction.…”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Our approach integrates advanced NLP techniques across key phases: preprocessing, feature extraction, feature selection, and final detection. …”
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Flat U-Net: An Efficient Ultralightweight Model for Solar Filament Segmentation in Full-disk Hα Images by GaoFei Zhu, GangHua Lin, Xiao Yang, Cheng Zeng

“…Solar filaments are one of the most prominent features observed on the Sun, and their evolutions are closely related to various solar activities, such as flares and coronal mass ejections. …”
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Unsupervised Deep Clustering on Spatiotemporal Objects Extracted from 4D Point Clouds for Automatic Identification of Topographic Processes in Natural Environments by J. Wang, K. Anders

“…In this paper, we present a time series-based unsupervised deep clustering framework for identifying topographic processes without manual feature engineering and annotations. By leveraging the representation learning capability of autoencoders, especially using convolutional neural networks (CNNs) as feature extractors, our approach implements the dimensionality reduction of the original inputs to uniform low-dimensional vectors in latent space. …”
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Investigation on Pore-Fracture of Coal and Its Influence Mechanism on Tensile Failure Behavior of Coals with Bursting Proneness by Yutao Li, Qingwei Guo, Xunchen Liu, Yaodong Jiang, Bo Zhang, Hao Wang

“…The result illustrates that the spatial distribution feature of the pore-fracture in coals with high and medium bursting proneness is extremely different. …”
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Shaping the Milky Way: The Interplay of Mergers and Cosmic Filaments by Arpit Arora, Nicolás Garavito-Camargo, Robyn E. Sanderson, Martin D. Weinberg, Michael S. Petersen, Silvio Varela-Lavin, Facundo A. Gómez, Kathryn V. Johnston, Chervin F. P. Laporte, Nora Shipp, Jason A. S. Hunt, Gurtina Besla, Elise Darragh-Ford, Nondh Panithanpaisal, Kathryne J. Daniel, The EXP collaboration

“…Disentangling their contributions is essential for understanding galaxy evolution and constructing accurate mass models of the MW. …”
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New Perspective on the Multiple-population Phenomenon in Galactic Globular Clusters from a Wide-field Photometric Survey by S. Jang, A. P. Milone, A. F. Marino, M. Tailo, E. Dondoglio, M. V. Legnardi, G. Cordoni, T. Ziliotto, E. P. Lagioia, M. Carlos, A. Mohandasan, E. Bortolan, Y.-W. Lee

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Zinc-ion batteries based on lean-water hydrogel electrolytes and their application as flexible power source by Shixun Wang, Chunyi Zhi

“…Aqueous zinc-ion batteries, featuring intrinsic safety, the notable energy density of zinc anode, and cost-effectiveness, have emerged as promising candidates for flexible devices. …”
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