Not-quite-transcendental Functions for Logarithmic Interpolation of Tabulated Data by Peter C. Hammond, Jacob M. Fields, Jonah M. Miller, Brandon L. Barker

“…From tabulated nuclear and degenerate equations of state to photon and neutrino opacities and nuclear reaction rates, tabulated data is ubiquitous in computational astrophysics. …”
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Data mining of rice genome by FAN Long-jiang, GUO Xing-yi

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NEW DATA ON PYROCHLORE FROM THE TATARKA DEPOSIT (YENISEI RIDGE, RUSSIA) by V.I. Popova, P.S. Kozlov, A.V. Lapin, V.A. Popov, V.A. Kotllyarov, L.A. Pautov, M.A. Rassomakhin, V.V. Shilovskikh, I.A. Blinov

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Computer-assisted virtual preoperative planning in orthopedic surgery for acetabular fractures based on actual computed tomography data by Guang-Ye Wang, Wen-Jun Huang, Qi Song, Yun-Tian Qin, Jin-Feng Liang

“…Spiral computed tomography (CT) was performed on 13 patients with pelvic and acetabular fractures, and Digital Imaging and Communications in Medicine (DICOM) data were then input into Mimics software to reconstruct three-dimensional (3D) models of actual pelvic and acetabular fractures for preoperative simulative reduction and fixation, and to simulate each surgical procedure. …”
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The association between 24-h movement behaviours and adiposity among Australian preschoolers: a compositional data analysis by Marga Decraene, Kar Hau Chong, Ty Stanford, Dorothea Dumuid, Penny Cross, Greet Cardon, Vera Verbestel, Marieke De Craemer, Anthony Okely

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Association between daily movement behaviors and optimal physical fitness of university students: a compositional data analysis by Jiayu Li, Zhendiao Lin, Mengting Zou, Xin Feng, Yuanyue Liu

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Smart distributed data factory volunteer computing platform for active learning-driven molecular data acquisition by Tsolak Ghukasyan, Vahagn Altunyan, Aram Bughdaryan, Tigran Aghajanyan, Khachik Smbatyan, Garegin A. Papoian, Garik Petrosyan

“…Abstract This paper presents the smart distributed data factory (SDDF), an AI-driven distributed computing platform designed to address challenges in drug discovery by creating comprehensive datasets of molecular conformations and their properties. …”
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Privacy-Preserving Modeling of Trajectory Data: Secure Sharing Solutions for Trajectory Data Based on Granular Computing by Yanjun Chen, Ge Zhang, Chengkun Liu, Chunjiang Lu

Subjects: “…trajectory data…”
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Retracted: Data Verification of Logical Pk-Anonymization with Big Data Application and Key Generation in Cloud Computing by Journal of Function Spaces

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HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation by Simon Schlumbohm, Julia E. Neumann, Philipp Neumann

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The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation by Sarah Brinkley, Jenny J. Gallo-Franco, Natalia Vázquez-Manjarrez, Juliana Chaura, Naa K. A. Quartey, Sahar B. Toulabi, Melanie T. Odenkirk, Eva Jermendi, Marie-Angélique Laporte, Herman E. Lutterodt, Reginald A. Annan, Mariana Barboza, Endale Amare, Warangkana Srichamnong, Andres Jaramillo-Botero, Andres Jaramillo-Botero, Gina Kennedy, Jaclyn Bertoldo, Jessica E. Prenni, Maya Rajasekharan, John de la Parra, Selena Ahmed

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Hierarchical Edge Computing by Ruslan L. Smeliansky

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Design by data. From interfaces to responsive architectures by Attilio Nebuloni, Giorgio Buratti

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Cloud computing convergence: integrating computer applications and information management for enhanced efficiency by Guo Zhang

Subjects: “…cloud computing…”
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Author Correction: Using isometric log-ratio in compositional data analysis for developing a groundwater pollution index by Junseop Oh, Kyoung-Ho Kim, Ho-Rim Kim, Sunhwa Park, Seong-Taek Yun

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Relationship between 24-hour movement behaviors and executive function in preschool children based on compositional data analysis by Zhenya Chang, Ling Wang, Aifeng Zhu

“…EF was measured by a questionnaire (BRIEF-P), and compositional data analysis was employed. Results: (1) The relative time distribution among 24 h-MBs showed statistically significant associations with both EF and specific subdomains in preschool children (p < 0.05). (2) Moderate-to-Vigorous-intensity Physical Activity (MVPA) was significantly associated with inhibitory control (γ14 = −2.36, p = 0.002), working memory (γ14 = −2.78, p = 0.003), emotional control (γ14 = −1.30, p = 0.024), planning (γ14 = −1.83, p = 0.003), and EF (γ14 = −9.35, p = 0.003). (3) SB was significantly associated with working memory (γ12 = 3.99, p = 0.027) and EF (γ12 = 11.95, p = 0.047). (4) When MVPA was substituted for sleep, SB, and Light-intensity Physical Activity (LPA) for 15 min per day, there was a significant decrease in preschoolers' EF and many of its dimensions. …”
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Test of the relationship between adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis by Ning Wang, Ziyi Wang, Hui Liu, Yifeng Wang, Jinkun Li, Xiaobin Hong

“…This study investigated the dose‒response relationship between Chinese adolescents’ 24-h activity behavior and anxiety symptoms using compositional data analysis (CoDA). Methods The temporal distribution of 24-h activity behaviors of 176 adolescents was objectively measured by accelerometers, and anxiety symptoms were assessed by the Self-Rating Anxiety Scale (SAS). …”
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Accounting for the Compositional Nature of Geochemical Data to Improve the Interpretation of Their Univariate and Multivariate Spatial Patterns: A Case Study from the Campania Region (Italy) by Lucia Rita Pacifico, Annalise Guarino, Antonio Iannone, Stefano Albanese

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Editorial:  Applied Computing 2023 by Yousra Abdul Alsahib S. Aldeen, Yusliza Yusoff, Samira Naji Kadhim

“…It can be classified the applied computing skills and knowledge into (Current programming languages and technology, Software engineering, IT security, Mobile technology, Networking, Operating system management, Graphic applications, Data integration, Distributed systems, Communication, Critical thinking, analysis, and problem-solving, Project management). …”
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Data-Driven Computational Methods in Fuel Combustion: A Review of Applications by Jacek Lukasz Wilk-Jakubowski, Lukasz Pawlik, Damian Frej, Grzegorz Wilk-Jakubowski

“…The study examines the integration of computational methods, including computational fluid dynamics, neural networks, and genetic algorithms, with various fuel types such as biodiesel, biomass, coal, gasoline, hydrogen, and natural gas. …”
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