Wide-Field High-Speed Scanning Acoustic/Photoacoustic Microscopy for Whole-Body Imaging of Small Animals by Joongho Ahn, Hyoseok Choi, Seongjun Lim, Jin Young Kim, Jeongwoo Park

“…In this study, we developed a wide-field, high-speed scanning acoustic/photoacoustic microscopy (SA/PAM) system equipped with a transparent ultrasound transducer and a moving magnet linear stage, which eliminates the need for complex mosaic algorithms. This system enables wide-field imaging up to 50 × 50 mm² while maintaining high lateral resolution, achieving an imaging speed of 50 Hz in a B-scan image. …”
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Genetic subtyping by Whole Exome Sequencing across Diffuse Large B Cell Lymphoma and Plasmablastic Lymphoma. by Aitana Avendaño Pomares, Laura Rodríguez Merino, Sonia González, Jordi Morata, Raúl Tonda, Patricia Arribas, José Revert, Estrella Carrillo, Carlos Grande, Josep Maria Roncero, Jaime Pérez de Oteyza, Concepción Nicolás, Norma Gutierrez, Pau Abrisqueta, Antonio Gutiérrez, Ángel Ramírez-Páyer, Alejandro Martin Garcia-Sancho, Eva González-Barca, Santiago Montes-Moreno, GELTAMO group (Grupo Español de Linfomas y Trasplante Autólogo de Medula Osea), Spain

“…Recently, genomic-based algorithms have been proposed for the classification of this disease. …”
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Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review by Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, Lill-Tove Rasmussen Busund, Kajsa Møllersen

“…In this scoping review, we identified the publicly available datasets of breast H&E-stained whole-slide images (WSIs) that can be used to develop deep learning algorithms. …”
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Identification of novel biomarkers involved in oral squamous cell carcinoma by whole transcriptome sequencing and bioinformatics analysis by Hongliang Du, Zhenze Wang, Mengyi Qi, Yunqing Pang, Qingling Lin, Dengqi He, Jing Wang

“…Potential biomarkers were then identified using five algorithms from CytoHubba. Biomarkers were validated via univariate Cox regression and Kaplan–Meier (K–M) survival analysis. …”
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3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

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COMBINED ANALYSIS OF LINKAGE AND WHOLE EXOME SEQUENCING REVEALS CIC AS A CANDIDATE GENE FOR ISOLATED DYSTONIA by Barış Salman, Emrah Yücesan, Bedia Samancı, Başar Bilgiç, Haşmet Ayhan Hanağası, İbrahim Hakan Gürvit, Uğur Özbek, Sibel Aylin Uğur İşeri

“…Material and Method: We employed whole genome Single Nucleotide Polymorphism (SNP) based linkage analysis along with whole exome sequencing (WES) in a consanguineous family presenting with isolated dystonia. …”
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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…We developed a noninvasive machine learning model leveraging whole-brain resting-state functional magnetic resonance imaging (rs-fMRI) biomarkers to discriminate high-grade (HGGs) and low-grade gliomas (LGGs) in the frontal lobe. …”
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Novel estrogen-related gene variants identified by whole-exome sequencing in pregnancy-associated intrahepatic cholestasis by Hua Lai, Siming Xin, Jinliang Zhang, Yang Hu, Wenjuan Fan, Hong Wan, Bowen Chen, Yang Zou, Xiaoming Zeng, Xianxian Liu

“…Accordingly, we conducted whole-exome sequencing (WES) in 249 patients with ICP, focusing on eight key estrogen-related genes (ESR1/2, CYP17A1/19A1, CYP1A2/1B1/3A4, and COMT). …”
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A Mixed-Integer Convex Optimization Framework for Cost-Effective Conductor Selection in Radial Distribution Networks While Considering Load and Renewable Variations by Oscar Danilo Montoya, Oscar David Florez-Cediel, Luis Fernando Grisales-Noreña, Walter Gil-González, Diego Armando Giral-Ramírez

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A distribution-guided Mapper algorithm by Yuyang Tao, Shufei Ge

“…With a dataset as an input, the Mapper algorithm outputs a graph representing the topological features of the whole dataset. …”
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The open-closed mod-minimizer algorithm by Ragnar Groot Koerkamp, Daniel Liu, Giulio Ermanno Pibiri

“…Abstract Sampling algorithms that deterministically select a subset of $$k$$ k -mers are an important building block in bioinformatics applications. …”
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Development Modified Conjugate Gradiente Algorithm by Abbas H. Taqi, Amal N. Shaker

“…The Desent property and global convergence for the proposed algorithm are established, oure numerical experiment on some test function and it showed us a clear improvement on the way V1-CG modified. …”
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Parallel Implementation of the Katsevich's FBP Algorithm

“…Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux cluster. …”
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Comparative analysis of integer factorization algorithms by G. Kimsanova, R. Ismailova, R. Sultanov

“…Our results showed that for numbers up to 296 bits the Pollard rho algorithm is the fastest one, while Fermat algorithm is fast when distances between factors are small. …”
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Evaluation Algorithms for Parametric Curves and Surfaces by Lanlan Yan

“…This paper extends Woźny and Chudy’s linear-complexity Bézier evaluation algorithm (2020) to all parametric curves/surfaces with normalized basis functions via a novel basis function matrix decomposition. …”
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Improved PESA algorithm based on comentropy by Kun WANG, Lin-lin WANG, Yan LIU, Yu-hua ZHANG, Meng WU

“…Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric into PESA algorithm was proposed. …”
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Universal algorithm for transforming Hamiltonian eigenvalues by Tatsuki Odake, Hlér Kristjánsson, Philip Taranto, Mio Murao

“…In this work, we provide a way of manipulating Hamiltonians, by transforming their eigenvalues while keeping their eigenstates unchanged. We develop a universal algorithm that deterministically implements any desired (suitably differentiable) function on the eigenvalues of any unknown Hamiltonian, whose positive-time and negative-time dynamics are given as a black box. …”
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Data and algorithm security in platform economy by Tingyi ZHENG, Liang PANG, Xiaolong JIN

“…Artificial intelligence, big data, and other technologies are rapidly promoting the development of the platform economy.While Internet platforms use the two-wheel mechanism of “data + algorithm” to provide users with accurate and personalized information services, they also have fair competition for national network security and market due to the platform’s “ecological monopoly” and irregular application of algorithms.The legitimate interests of users pose a threat and bring serious challenges to government supervision and platform governance.Under this background, the connotation, extension, and research status of data and algorithm security in the platform economy were discussed, and the technical system and key technical problems that promote the innovation and development of the platform under the premise of ensuring security were sorted out, and the promotion suggestions for ecological innovation and development of the platform economy from four aspects were given: architecture construction, perfection of supervison systems, breakthrough of core technology, and platform model innovation.…”
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Parallel Implementation of Katsevich's FBP Algorithm by Jiansheng Yang, Xiaohu Guo, Qiang Kong, Tie Zhou, Ming Jiang

“…Basing on this fact, we develop a parallel implementation of Katsevich's FBP algorithm. We do all the numerical experiments on a Linux cluster. …”
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Knowledge-based Algorithms for BDI-agents by Nikolay Vyacheslavovich Shilov, Natalia Olegovna Garanina

“…In the paper we study a couple of knowledge-based multiagent algorithms. One particular algorithm is for a system consisting of agents that arrive one by one (in a non-deterministic order) to a resource center to rent (for a while) one of available desired resources. …”
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