Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing by Paromita Goswami, Neetu Faujdar, Ghanshyam Singh, Kanta Prasad Sharma, Ajoy Kumar Khan, Somen Debnath

“…Another benefit of the plan is that it supports dynamic operation on outsourced data. This research work may achieve the desired security qualities, according to the security analysis, and it is effective for real-world applications, as demonstrated by simulation outcomes of dynamic operations on various numbers of data blocks and sub-blocks.…”
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Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics by Christine Ecker, Charlotte M. Pretzsch, Johanna Leyhausen, Lisa M. Berg, Caroline Gurr, Hanna Seelemeyer, Grainne McAlonan, Nicolaas A. Puts, Eva Loth, Flavio Dell’Aqua, Luke Mason, Tony Charman, Bethany Oakley, Thomas Bourgeron, Christian Beckmann, Jan K. Buitelaar, Celso Arango, Tobias Banaschewski, Andreas G. Chiocchetti, Christine M. Freitag, Elke Hattingen, Dilja Krueger-Burg, Michael J. Schmeisser, Jonathan Repple, Andreas Reif, Declan G. Murphy

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Mechanistic Advances in the Therapeutic Application of Bixin for Lung Inflammation In Vitro and In Vivo by Alexsandro Tavares Figueiredo-Junior, Bruno Clemente Brandão Marques, Douglas Galdino dos Santos, Wesley Leandro Gouveia, Raysa Magali Pillpe Meza, Luzineide Wanderley Tinoco, Lídia Moreira Lima, Samuel Santos Valenca, Manuella Lanzetti

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Ecotoxicological assessment of the application of chemical products of plant protection against pests by S. Mostoviak, I. Mostoviak, O. Borzykh, V. Fedorenko

“…Ecotoxicological assessment of 23 chemicals was performed using the Methodologies of the Institute of Plant Protection of NAAS of Ukraine according to the safety data sheet of the preparations and the properties of the active ingredient. …”
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Immune digital twins for complex human pathologies: applications, limitations, and challenges by Anna Niarakis, Reinhard Laubenbacher, Gary An, Yaron Ilan, Jasmin Fisher, Åsmund Flobak, Kristin Reiche, María Rodríguez Martínez, Liesbet Geris, Luiz Ladeira, Lorenzo Veschini, Michael L. Blinov, Francesco Messina, Luis L. Fonseca, Sandra Ferreira, Arnau Montagud, Vincent Noël, Malvina Marku, Eirini Tsirvouli, Marcella M. Torres, Leonard A. Harris, T. J. Sego, Chase Cockrell, Amanda E. Shick, Hasan Balci, Albin Salazar, Kinza Rian, Ahmed Abdelmonem Hemedan, Marina Esteban-Medina, Bernard Staumont, Esteban Hernandez-Vargas, Shiny Martis B, Alejandro Madrid-Valiente, Panagiotis Karampelesis, Luis Sordo Vieira, Pradyumna Harlapur, Alexander Kulesza, Niloofar Nikaein, Winston Garira, Rahuman S. Malik Sheriff, Juilee Thakar, Van Du T. Tran, Jose Carbonell-Caballero, Soroush Safaei, Alfonso Valencia, Andrei Zinovyev, James A. Glazier

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Application of internal fixator system for anterior pelvic ring with simultaneous application of sacroiliac screw internal fixation of the posterior pelvic ring in Tile C-type unst... by Liu Zhongbing, Zou Guoyou

“…The aim of our study was to explore the application of the internal fixation (INFIX) system for the anterior pelvic ring (APR) with simultaneous application of sacroiliac screw (SS) INFIX of the posterior pelvic ring (PPR) in TCUPT. …”
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Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years by Valentina De Nicoló, Maria Frasca, Agnese Graziosi, Gianluca Gazzaniga, Davide La Torre, Arianna Pani

“…The use of artificial intelligence, particularly machine learning and deep learning techniques has transformed this area, providing solutions to overcome the limited availability of real clinical data. Through a bibliometric analysis of a wide sample of scientific articles from SCOPUS, this study highlights the adoption of SD generation techniques in oncological applications, focusing on major methodologies and challenges. …”
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A Column Encryption-Based Privacy-Preserving Framework for Hadoop Big Data Sets by Hidayath Ali Baig

“…Regardless of privacy laws, application developers must protect sensitive data. …”
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A Data Resource Trading Price Prediction Method Based on Improved LightGBM Ensemble Model by Wan Nie, Bingliang Shen, Desheng Li

“…To address the key challenges of limited practical application, high implementation difficulty, and poor generalization capability in existing theoretical models for data resource pricing, this study employs generative adversarial network (GAN) to augment the dataset and constructs a DRV-LightGBM model based on a Bayesian parameter optimization algorithm that maximizes the coefficient of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>) to predict data resource transaction prices and provide post-hoc explanations for the prediction model. …”
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Fairness modeling for topics with different scales in short texts by Chuangying Zhu, Yongyu Liang, Xinyuan Liang, Limiao Zhong, Fei Xie

“…The application of topic modeling to short texts is beset by challenges such as data sparsity and an absence of contextual information. …”
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The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring by Alexey Zaripov, Roman Kulshin, Anatoly Sidorov

“…It presents an overview of the application areas of computer vision (CV) and establishes that traditional methods of data collection and annotation—such as video recording and manual image labeling—are associated with high time and financial costs, which limits their efficiency. …”
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A Systematic Review of Recent Literature on Data Governance (2017&#x2013;2023) by Karol Bliznak, Michal Munk, Anna Pilkova

“…Analytics, process mining, and artificial intelligence are among the modern application domains of data, enabling data-driven decision making and process innovation for an operating advantage. …”
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Power Load Data Completion Method Based on Integrated Graph Convolutional Variational Transformer by YAN Li, HU Hailin, SHI Lei, WU Qinzheng, LÜ Tianguang, XU Yingdong, ZHANG Wenbin, WANG Gaozhou

“…[Objective] With the development of power systems and continuous expansion of energy systems， massive load power data have been generated. However， missing data are inevitable in the collection and transmission of power data， which greatly restricts the development of system-coordination optimization and advanced data applications. …”
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Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

“…The work objective is to develop and study ways of accelerating the process of organizing and transforming the tree-like data structures on the basis of the stable maximum parallel sorting algorithms for their application to the basic operations of information retrieval on databases.Materials and Methods. …”
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IUENNA – openIng the soUthErn jauNtal as a micro-regioN for future Archaeology: A «para-description» by Hagmann, Dominik, Reiner, Franziska

“…Data accessibility is ensured through its online presence in the ARCHE repository (A Resource Centre for the HumanitiEs) of the ACDH-CH. …”
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Remote sensing for land cover mapping across Victoria, Australia – a machine learning application by Sabah Sabaghy, Mohammad Abuzar, Doug Crawford, Andy McAllister, Kathryn Sheffield

“…The resulting 2021/22 land cover map is accessible through the Victorian Land Use Information System (VLUIS) and has undergone rigorous technical validation with an overall accuracy of 86%. This data set is publicly accessible and regularly released to provide valuable information for a variety of applications, including agricultural policy development, strategic planning, climate change modelling and environmental monitoring.…”
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A multi-source melt pool compilation for vision-based analytics applications in additive manufacturing by William Jabbour, Mutahar Safdar, Jiarui Xie, Yaoyao Fiona Zhao

“…The dataset enables future expansion as new melt pool data becomes available.…”
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A multicenter bladder cancer MRI dataset and baseline evaluation of federated learning in clinical application by Kangyang Cao, Yujian Zou, Chang Zhang, Weijing Zhang, Jie Zhang, Guojie Wang, Chu Zhang, Jiegeng Lyu, Yue Sun, Hongyuan Zhang, Bin Huang, Lei Deng, Shuiqing Yang, Jianpeng Li, Bingsheng Huang

“…Abstract Bladder cancer (BCa), as the most common malignant tumor of the urinary system, has received significant attention in research on the clinical application of artificial intelligence algorithms. Nevertheless, it has been observed that certain investigations use data from various medical facilities to train models for BCa, which may pose a privacy risk. …”
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A metadata schema to standardize non-thermal plasma decontamination parameters in food-related applications by George Pampoukis, Thomas Weihe, Robert Wagner, Markus Μ. Becker, Yijiao Yao, Masja N. Nierop Groot, Uta Schnabel

“…The introduced metadata schema strives to improve the comparability, reproducibility, and reuse of non-thermal plasma research data for food-related applications, paving the way for more generalizable insights to legal authorities and the food industry.…”
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Integration of well log analysis data with geochemical data to evaluate possible source rock. Case study from GM-ALEF-1 well, Ras Ghara oil Field, Gulf of Suez-Egypt by A.A. El-Khadragy, T.F. Shazly, D.A. Mousa, M. Ramadan, M.Z. El-Sawy

“…Consequently, the logs used for source rock evaluations and calculation of Total Organic Carbon most commonly include density, sonic, gamma ray, neutron and resistivity by using several methods.In this research, a suite of geophysical logs and geochemical data were applied for determining the Total Organic Carbon content (TOC) and compare them together, in addition to source rock evaluation of the study formation.Application of such techniques take place in one well GM-ALEF-1 well located in the Ras Ghara oil Field, Gulf of Suez, Egypt, represented by Miocene rock, Rudeis Formation. …”
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