Development of Criteria for Assessing Nutritional Status in Moscow Adults Using Bioimpedance Analysis Data by S. G. Rudnev, A. E. Ivanova, E. Z. Godina, A. V. Zubko, V. I. Starodubov

“…To develop the criteria for assessing nutritional status in Moscow adults using bioimpedance analysis data.Materials and methods. The research used data from a non-clinical, cross-sectional, observational study on the body composition of Moscow adults aged 18-96 in Moscow health centers between 2010 and 2019 by the method of bioimpedance analysis. …”
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Flexible Natural Language-Based Image Data Downlink Prioritization for Nanosatellites by Ezra Fielding, Akitoshi Hanazawa

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Stochastic algorithm for HDFS data theft detection based on MapReduce by Yuanzhao GAO, Binglong LI, Xingyuan CHEN

“…To address the problems of big data efficient analysis and insider theft detection in the data theft detection of distributed cloud computing storage,taking HDFS (hadoop distributed file system) as a case study,a stochastic algorithm for HDFS data theft detection based on MapReduce was proposed.By analyzing the MAC timestamp features of HDFS generated by folder replication,the replication behavior’s detection and measurement method was established to detect all data theft modes including insider theft.The data set which is suitable for MapReduce task partition and maintains the HDFS hierarchy was designed to achieve efficient analysis of large-volume timestamps.The experimental results show that the missed rate and the number of mislabeled folders could be kept at a low level by adopting segment detection strategy.The algorithm was proved to be efficient and had good scalability under the MapReduce framework.…”
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Secure Data Transmission Using GS3 in an Armed Surveillance System by Francisco Alcaraz-Velasco, José M. Palomares, Fernando León-García, Joaquín Olivares

“…Firstly, this work takes advantage of an efficient, scalable, and distributed system, named SmartFog, which identifies people with weapons by leveraging edge, fog, and cloud computing paradigms. Nevertheless, security vulnerabilities during data transmission are not addressed. …”
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Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions by Teerath Kumar, Rob Brennan, Alessandra Mileo, Malika Bendechache

Subjects: “…Computer vision…”
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Optimizing quantum convolutional neural network architectures for arbitrary data dimension by Changwon Lee, Israel F. Araujo, Dongha Kim, Junghan Lee, Siheon Park, Ju-Young Ryu, Ju-Young Ryu, Daniel K. Park, Daniel K. Park

“…The number of input qubits determines the dimensions (i.e., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. …”
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Composition, Seasonal Dynamics and Metabolic Potential of the Rhizosphere Microbiome Associated with Wild White Poplar by Mikhail I. Popchenko, Dmitry S. Karpov, Natalya S. Gladysh, Maxim A. Kovalev, Vsevolod V. Volodin, George S. Krasnov, Alina S. Bogdanova, Nadezhda L. Bolsheva, Maria S. Fedorova, Anna V. Kudryavtseva

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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

Subjects: “…Composites…”
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Insight into territorial efficiency of circular economy through data envelopment analysis by Ivana Marjanović, Jelena J. Stanković, John Östh, Milan Marković, Marina Stanojević

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Unsupervised learning of nanoindentation data to infer microstructural details of complex materials by Chen Zhang, Clémence Bos, Stefan Sandfeld, Stefan Sandfeld, Ruth Schwaiger, Ruth Schwaiger

“…Additionally, a cross-validation approach was introduced to infer whether the data quantity was adequate and to suggest the amount of data required for reliable predictions–one of the often encountered but difficult to resolve issues in machine learning of materials science problems.…”
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SME Marketing Performance: A Mixed-Method Study on Resilient Compositional Capability by Sugianto Sugianto, Ramadania Ramadania, Wenny Pebrianti

“…Using data from 435 SMEs in West Borneo, Indonesia, and employing a mixed-method approach, we find that marketing innovation, government support, and organizational ambidexterity positively influence resilient compositional capability. …”
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A comparative investigation of compositional syntax and semantics in DALL·E and young children by Elliot Murphy, Jill de Villiers, Sofia Lucero Morales

“…This work points to a clear absence of compositional sentence representations for both DALL·E 2 and DALL·E 3.…”
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INVESTIGATION OF KROHN’S ALGORITHM AND ITS MODIFICATION FOR VARIOUS BASIC DATA by Valery Grigoryevich Kobak, Dmitry Vyacheslavovich Titov, Oleg Anatolyevich Zolotykh

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Microscopic image dataset of plant-parasitic nematodeMendeley Data by Siwi Indarti, Nabila Husna Shabrina, Rina Maharani

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Self-trainable and adaptive sensor intelligence for selective data generation by Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

“…Many IoT applications depend on complex computations performed on server-side infrastructure, necessitating efficient methods to reduce unnecessary data transmission. …”
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PvaPy streaming framework for real-time data processing by Siniša Veseli, John Hammonds, Steven Henke, Hannah Parraga, Barbara Frosik, Nicholas Schwarz

Subjects: “…data streaming…”
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ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population by Katia Charrière, Antoine Ragusa, Béatrice Genoux, Antoine Vilotitch, Svetlana Artemova, Charlène Dumont, Paul‐Antoine Beaudoin, Pierre‐Ephrem Madiot, Gilbert R. Ferretti, Ivan Bricault, Eric Fontaine, Jean‐Luc Bosson, Alexandre Moreau‐Gaudry, Joris Giai, Cécile Bétry

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SIBILA: Automated Machine-Learning-Based Development of Interpretable Machine-Learning Models on High-Performance Computing Platforms by Antonio Jesús Banegas-Luna, Horacio Pérez-Sánchez

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Research on task offloading algorithm of mobile edge computing based on deep reinforcement learning in SDCN by Shouhua JIANG, Yiwu WANG

Subjects: “…software-defined data center network…”
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Overview of Radiological Reporting and Data System (RADS) Guidelines Currently Applicable in Surgery by Marco Parillo, Carlo Cosimo Quattrocchi

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