A computational approach and software package RNAexploreR for grouping RNA molecules of human genes by exon features by M. M. Yatskou, V. V. Skakun, V. V. Grinev

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A novel, human-in-the-loop computational grounded theory framework for big social data by Lama Alqazlan, Zheng Fang, Michael Castelle, Rob Procter

“…In the context of qualitative data analysis, a major challenge is that conventional methods require intensive manual labour and are often impractical to apply to large datasets. …”
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Exploring disulfiram mechanisms in renal fibrosis: insights from biological data and computational approaches by Vishal S. Patil, Chandragouda R. Patil, Harun M. Patel, Anoop Kumar

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Synthetic Data-Driven Approaches for Chinese Medical Abstract Sentence Classification: Computational Study by Jiajia Li, Zikai Wang, Longxuan Yu, Hui Liu, Haitao Song

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Compositional and Machine Learning Tools to Model Plant Nutrition: Overview and Perspectives by Léon Etienne Parent

Subjects: “…compositional data analysis…”
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Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions by Lindsey N. Anderson, Charles Tapley Hoyt, Jeremy D. Zucker, Andrew D. McNaughton, Jeremy R. Teuton, Klas Karis, Natasha N. Arokium-Christian, Jackson T. Warley, Zachary R. Stromberg, Benjamin M. Gyori, Benjamin M. Gyori, Neeraj Kumar

“…Furthermore, we highlight specific challenges associated with uncertainty quantification in vaccine development and emphasize the importance of establishing standardized data formats and ontologies to facilitate the integration and analysis of heterogeneous data. …”
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A mobile cloud computing framework for execution of data as a service using cloudlet by Santosh Kumar Yadav, Rakesh Kumar

“…Besides getting used in MCC, mobile devices also have roles in various emerging technologies like, ubiquitous computing, pervasive computing, context aware based computing, big data analysis, utility computing, fog computing and 5G based technologies. …”
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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…We have created an open-source application and framework for rapid GPU-accelerated prototyping, targeting image analysis, including volumetric images such as CT or MRI data. …”
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Current Approaches for Image Fusion of Histological Data with Computed Tomography and Magnetic Resonance Imaging by Philipp Nolte, Christian Dullin, Angelika Svetlove, Marcel Brettmacher, Christoph Rußmann, Arndt F. Schilling, Frauke Alves, Bernd Stock

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Anatomical characteristics of the pubic symphysis of the second period of adulthood according to computer tomography data by I. A. Balandina, A. V. Klimets, A. A. Balandin

“…Results. Comparative analysis of the data reveals a tendency to predominance of the parameters of width, thickness and X-ray density in the upper part of the pubic symphysis in the sample of male subjects (p > 0.05). …”
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Time-based and privacy protection revocable and traceable data sharing scheme in cloud computing by Jiawei ZHANG, Jianfeng MA, Zhuo MA, Teng LI

“…General ciphertext-policy attribute-based encryption (CP-ABE) provides fine-grained access control for data sharing in cloud computing, but its plaintext formed access policy may cause leakage of private and sensitive data.And revoking a malicious user by accurately tracing the identity according to a leaked decryption key is a huge challenge.Moreover, most of existing revocable schemes incur long user revocation list and low efficiency.To solve these problems, a time-based and privacy preserving revocable and traceable data sharing scheme was proposed based on CP-ABE to support expressive monotonic and partial hidden access policy, large attribute universe by conceal the attribute values in access policy.Time-limited data access control using hierarchical identity-based encryption was achieved to set key valid period for users.Moreover, with the approaches of white-box tracing and binary tree, efficient user tracing and direct revocation with shorter revocation list was realized together with high efficiency via online/offline and verifiable outsourced decryption techniques.Furthermore, the scheme was secure under decisional q-BDHE assumption.Theoretical analysis and extensive experiments demonstrate its advantageous performance in computational and storage cost.…”
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A Computing Model of Selective Attention for Service Robot Based on Spatial Data Fusion by Huanzhao Chen, Guohui Tian

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An Integrated Node Selection Model Using FAHP and FTOPSIS for Data Retrieval in Ubiquitous Computing by Belal Z. Hassan, Ahmed. A. A. Gad-Elrab, Mohamed S. Farag, Shaban E. Abo Youssef

“…Ubiquitous computing (UC) is an advanced computing concept that makes services and computing available everywhere and anytime. …”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…Provable data possession (PDP) is a technique that enables the verification of data integrity in cloud storage without the need to download the data. …”
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Characterization of the DART Ejecta Using Computer Modeling of the Ground-based and HST Photopolarimetric Data by Ludmilla Kolokolova, Johannes Markkanen, Quentin Ludet, Zuri Gray, Stefano Bagnulo, Cyrielle Opitom, Brian Murphy

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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

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Classifying with uncertain data envelopment analysis by Casey Garner, Allen Holder

“…Our computational model uses uncertain data envelopment analysis to define a classification's proximity to equitable efficiency, which is an aggregate measure of intra-similarity within a classification's categories. …”
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Calculations of the nuclide composition of spent nuclear fuel RBMK-1000 for verification computer module SCALE-6 by V. V. Soloviov, E. O. Lebedev

“…In the analysis of the results of calculations and comparison with experimental data were considered only actinides, which constitute 99 % of the mass of spent nuclear fuel. …”
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Exploring the adoption of collections as data in the GLAM context by Meltem Dişli, Nele Gabriëls, Sally Chambers, Sarah Ames, Beth Knazook, Gustavo Candela

“…This research investigates the adoption of collections as data in GLAM institutions, aiming to highlight best practices for computational use and machine-readable sharing of digital collections. …”
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Integrative analysis of multi-omics data and gut microbiota composition reveals prognostic subtypes and predicts immunotherapy response in colorectal cancer using machine learning by Jun Wang, Yuan Cong, Bo Tang, Juan Liu, Ke Pu

“…We performed an integrative analysis of multi-omics data from 274 CRC patients to investigate the impact of gut microbiota composition on prognosis, identify novel subtypes, and develop a machine learning-based prognostic model. …”
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