Water retention influences thigh skin temperature variation post-exercise: preliminary study of bioimpedance analysis and thermography data by Alessandra Amato, Luca Petrigna, Martina Sortino, Paulo Roberto S. Amorim, Paulo Roberto S. Amorim, Giuseppe Musumeci, Giuseppe Musumeci

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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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Data on Brazilian Powdered Milk Formulations for Infants of Various Age Groups: 0–6 Months, 6–12 Months, and 12–36 Months by Francisco José Mendes dos Reis, Antonio Marcos Jacques Barbosa, Elaine Silva de Pádua Melo, Marta Aratuza Pereira Ancel, Rita de Cássia Avellaneda Guimarães, Priscila Aiko Hiane, Flavio Santana Michels, Daniele Bogo, Karine de Cássia Freitas Gielow, Diego Azevedo Zoccal Garcia, Geovanna Vilalva Freire, João Batista Gomes de Souza, Valter Aragão do Nascimento

“…The thermal degradation behavior of the samples is not the same due to their fatty acid compositions. The data presented may be useful in identifying compounds present in infant milk powder used as a substitute for breast milk and understanding the mechanism of thermal stability and degradation, ensuring food safety for those who consume them.…”
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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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Source Apportionment and Ecological-Health Risk Assessments of Potentially Toxic Elements in Topsoil of an Agricultural Region in Southwest China by Yangshuang Wang, Shiming Yang, Denghui Wei, Haidong Li, Ming Luo, Xiaoyan Zhao, Yunhui Zhang, Ying Wang

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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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Patch-Based Deep-Learning Model With Limited Training Dataset for Liver Tumor Segmentation in Contrast-Enhanced Hepatic Computed Tomography by Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki

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A Survey on Data Selection for Efficient Speech Processing by Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza

“…Our analysis reveals that targeted data selection not only alleviates computational burdens but often enhances model robustness and performance by strategically filtering redundant, noisy, or detrimental training examples. …”
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Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of... by Yutong Wen, Vin Yeang Choo, Jan Horst Eil, Sylvia Thun, Daniel Pinto dos Santos, Johannes Kast, Stefan Sigle, Hans-Ulrich Prokosch, Diana Lizzhaid Ovelgönne, Katarzyna Borys, Judith Kohnke, Kamyar Arzideh, Philipp Winnekens, Giulia Baldini, Cynthia Sabrina Schmidt, Johannes Haubold, Felix Nensa, Obioma Pelka, René Hosch

“… BackgroundFast Healthcare Interoperability Resources (FHIR) is a widely used standard for storing and exchanging health care data. At the same time, image-based artificial intelligence (AI) models for quantifying relevant body structures and organs from routine computed tomography (CT)/magnetic resonance imaging scans have emerged. …”
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