Widespread Reassortment Shapes the Evolution and Epidemiology of Bluetongue Virus following European Invasion. by Kyriaki Nomikou, Joseph Hughes, Rachael Wash, Paul Kellam, Emmanuel Breard, Stéphan Zientara, Massimo Palmarini, Roman Biek, Peter Mertens

“…Full-genome sequences were generated and analysed for over 150 isolates belonging to the different BTV serotypes that have emerged in the region over the last 5 decades. …”
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KrillDB: A de novo transcriptome database for the Antarctic krill (Euphausia superba). by Gabriele Sales, Bruce E Deagle, Enrica Calura, Paolo Martini, Alberto Biscontin, Cristiano De Pittà, So Kawaguchi, Chiara Romualdi, Bettina Meyer, Rodolfo Costa, Simon Jarman

“…In particular, we have built a de novo transcriptome assembly using more than 360 million Illumina sequence reads generated from larval krill including individuals subjected to different CO2 levels. …”
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Negative BOLD fMRI response in the visual cortex carries precise stimulus-specific information. by David Bressler, Nicole Spotswood, David Whitney

“…Sustained positive BOLD (blood oxygen level-dependent) activity is employed extensively in functional magnetic resonance imaging (fMRI) studies as evidence for task or stimulus-specific neural responses. …”
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Roles of ATM and ATR-mediated DNA damage responses during lytic BK polyomavirus infection. by Mengxi Jiang, Linbo Zhao, Monica Gamez, Michael J Imperiale

“…These results indicate that induction of the DDR by BKPyV is critical for productive infection, and that one of the functions of the DDR is to minimize the DNA damage which is generated during BKPyV infection.…”
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‘gitana’ (phyloGenetic Imaging Tool for Adjusting Nodes and other Arrangements), a tool for plotting phylogenetic trees into ready-to-publish figures by Cristina Galisteo, Rafael R. de la Haba

“…So far, a multitude of tools have already been developed to infer phylogeny, and even more to visualize the resulting trees. However, editing generated graphical plots to obtain ready-to-publish figures is still a major issue. …”
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A Reconfigurable 1x2 Photonic Digital Switch Controlled by an Externally Induced Metasurface by Alessandro Fantoni, Paolo Di Giamberardino

“…MMI couplers, based on self-imaging multimode waveguides, are very compact integrated optical components that can perform many different splitting and recombining functions. The input–output model has been defined using a machine learning approach; a high number of images have been generated through simulations, based on the beam propagation algorithm, obtaining a large dataset for an MMI structure under different activation maps of the MOS pixels. …”
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Systemic Analysis of the QS International Research Network Indicator Using Big Data: Regional Inequalities and Recommendations for Improved University Rankings by Taewan Kim, Tae-Kook Kim

“…The International Research Network (IRN) indicator, introduced in the QS (Quacquarelli Symonds) World University Rankings 2024, has generated notable volatility and regional disparities in global university standings. …”
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Characterization of thermal storage stability of waste plastic pyrolytic char modified asphalt binders with sulfur. by Abhinay Kumar, Rajan Choudhary, Ankush Kumar

“…Waste plastic pyrolytic char (PPC) generated as a carbonaceous by-product in the pyrolysis process, is gaining attention as an asphalt binder modifier. …”
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Comparative genomics search for losses of long-established genes on the human lineage. by Jingchun Zhu, J Zachary Sanborn, Mark Diekhans, Craig B Lowe, Tom H Pringle, David Haussler

“…Unlike most previous genomic methods for pseudogene identification, this analysis is able to differentiate losses of well-established genes from pseudogenes formed shortly after segmental duplication or generated via retrotransposition. Therefore, it enables us to find genes that were inactivated long after their birth, which were likely to have evolved nonredundant biological functions before being inactivated. …”
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Spectroscopy characterization of acid and rennet camel milk caseins using XRD, XPS, and SEM and effects on their emulsifying properties by Bachir Bensalah, Kamel Acem

“…The O and C atomic proportions of camel casein surfaces generated by acidification were greater than those obtained through rennet-induced coagulation, whereas the percentage of N atomic was lower, according to XPS measurements. …”
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A novel cuproptosis-related genes nomogram on the prognosis and immune microenvironment of breast invasive carcinoma by Guanmin Shang, Zhiwen Xu, Dengfu Peng, Xinghe Liao, Jiangang Zhao

“…These results may help illuminate the functions that CRGs perform in BRCA, which might improve our knowledge of cuproptosis and facilitate the implementation of more successful immunotherapy techniques.…”
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Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions. by Seunghyun Wang, Doheon Lee

“…This heterogeneity within luminal-A breast cancer has required a more precise stratification method. Hence, our study aims to identify prognostic subgroups of luminal-A breast cancer. …”
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Central banks Digital Currencies Issuance: Development Directions and Key Risks by V. V. Kuznetsova, O. I. larina

“…The purpose of the paper is to identify unresolved aspects of the application of CBDC, and specific tasks include identifying the problems of the marketing of retail CBDC and the identification of the risks generated by them. The authors use general and special research methods, including comparative analysis and systematization. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…The model demonstrates the ability to quickly generate curves and accurately represent the contours of cardiac images. …”
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Deep reinforcement learning based online lifting path planning for tower cranes in unknown dynamic environments by Kai Wang, Jing Li, Zhiyuan Yin, Jiankang Zhang, Xin Ma

“…This paper proposes a lifting path planner to efficiently generate safe and smooth lifting paths for tower cranes in an unknown construction environment through a deep reinforcement learning (DRL) method. …”
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Exact block encoding of imaginary time evolution with universal quantum neural networks by Ermal Rrapaj, Evan Rule

“…We prove that this wave-function Ansatz is closed under the action of the imaginary time propagator and, more generally, can represent the action of a universal set of quantum gate operations. …”
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Super-resolution mapping of anisotropic tissue structure with diffusion MRI and deep learning by Alfredo Ordinola, David Abramian, Magnus Herberthson, Anders Eklund, Evren Özarslan

“…The proposed approach is evaluated on high quality data from the Human Connectome Project, and is shown to generate upsampled results with a greater correspondence to ground truth high-resolution data than can be achieved with ordinary spline interpolation methods. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Firstly, a millimeter-wave radar and LiDAR are used to perceive by single sensor, and the sensing results were merged by using a multi-source fusion algorithm, to generate more accurate detection results. Based on the false alarm filtering algorithm, the problem of false alarm probably caused by the millimeter wave radar was solved. …”
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Boyer-Moore String Matching Algorithm and SHA512 Implementation for Jpeg/exif File Fingerprint Compilation in DSA by Rachmad Fitriyanto, Anton Yudhana, Sunardi Sunardi

“…Hash value is important element inside DSA to identify information data integrity using hash function to generate message digest. Jpeg/exif is image file format that produce by digital camera as in smartphone. …”
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Structural strength analysis and optimization of converter lug based on Kriging model by HE Guanqiang, LIU Yongjiang, LI Hua, CHEN Liming

“…For typical rail transit converters, each static strength analysis with four working conditions costs at least 1 hour, and each random vibration analysis with one axis costs more than 8 hours. As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. …”
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