Low levels of awareness and motivation towards cancer prevention amongst the general public in Sweden: a cross-sectional study focusing on the European Code Against Cancer by Cecilia Hultstrand, Ellen Brynskog, Andreas Karlsson Rosenblad, Anna-Lena Sunesson, Thomas Björk-Eriksson, Lena Sharp

“…Abstract Background The European Code Against Cancer (ECAC) aims to increase the awareness of modifiable cancer risk factors among the general public. …”
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High prevalence of intracranial arterial stenosis among acute ischemic stroke patients in a Brazilian center: a transcranial color-coded duplex sonography study by Letícia Januzi de Almeida Rocha, Maria Clara Zanon Zotin, Renata da Silva Almeida Santos, Milena Carvalho Libardi, Millene Rodrigues Camilo, Clara Monteiro Antunes Barreira, Pedro Telles Cougo Pinto, Suleimy Cristina Mazim, Daniel Giansante Abud, Octavio Marques Pontes Neto

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Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

“…ObjectiveThis study aims to propose a prompt learning real-time framework based on pretrained language models that can automatically label long free-text data with ICD-10 codes for cardiovascular diseases without the need for semiautomatic preprocessing. …”
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SCALE AND SERPENT TWO-GROUP CROSS-SECTION DATA GENERATION by Ondřej Novák, Jan Frýbort, Lubomír Sklenka, Jan Rataj, Ondřej Chvála

“…Both codes provides similar results for all studied parameters.…”
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Probability Distribution of Elastic Response Spectrum with Actual Earthquake Data by Qianqian Liang, Jie Wu, Guijuan Lu, Jun Hu

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COMPOSITE MODEL ERROR SOURCES IN DISCRETE CHANNELS OF DATA CONVERSION by Yu. D. Ivanov, B. V. Lozka, Е. O. Kozljuk

“…Such an approach to errorstream naturally corresponds to the nature of the formation of errors in real data conversion channels. In addition to this, the correct determination of the length of burst errors in the composite model of the source of the error allows maximum use of corrective properties of the codes with the concurrence of the lengths of codewords and error packets, correctable codes.…”
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Malware Detection using Deep Neural Networks on Imbalanced Data by Mohammed Abdulkreem Mohammed, Drai Ahmed Smait, Mustafa Al-Tahai, Israa S. Kamil, Kadhum Al-Majdi, Shahad K. Khaleel

“…Detection of such dangerous code in real-time, therefore, becomes crucial in order to prevent any harmful action. …”
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Influence of Nuclear Data of 56Fe on Shielding Calculation Uncertainty by LIU Zhengming, ZU Tiejun, HUANG Yihan, WU Hongchun, CAO Liangzhi

“…First, the NECP-SOUL code was used to generate random samples of ENDF based on the best estimates and covariance from JEFF-3.3 and ENDF/B-Ⅷ.0 evaluated nuclear data files, respectively. …”

LI-FI TECHNOLOGY AND THE NEW CONCEPT OF DATA TRANSFER SECURITY by Ramona DUMITRAȘCU

“…Li-Fi is a wireless technology that transmits high-speed data using visible light communication (VLC), it can achieve speeds of 224 gigabits per second in the lab. …”
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Automatic Data Race Error Detection in SystemC Models by A. V. Zakharov, M. J. Moiseev

“…One widespread type of synchronization errors is data races. In this paper we propose an approach to data race detection in SystemC programs which is based on the source code static analysis. …”
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Agricultural Researchers' Attitudes Toward Open Access and Data Sharing by Sarah C Williams, Shannon L Farrell, Erin E Kerby, Megan Kocher

“…For comparison, we also searched and coded scientific and library literature. Our findings reveal common attitudes related to open access publishing and data sharing and point to potential roles for libraries to help address common impediments, such as lack of trust, time, and money. …”
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DoTI: research on data-oriented TEE integration technology by MA Chengyan, LU Di, MA Xindi, XI Ning, WANG Jinjin, MA Jianfeng

“…Collaborative platforms face the challenges of system and data security. Trusted execution environment(TEE) implements plaintext-based confidential computing through hardware isolation technology, ensuring the confidentiality and integrity of code and data. …”
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Adaptive Control of Short-Wave Data Transmission System Parameters by V. V. Egorov

“…We consider a problem of adaptive parameter selection of short-wave data transmission systems such as information signal type, noise combating code type and parameters, operating frequency in case of step-by-step control of transmission process in dynamically changing conditions of radio wave propagation and interference environment. …”
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The Riemannian Means Field Classifier for EEG-Based BCI Data by Anton Andreev, Gregoire Cattan, Marco Congedo

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Severe Weather Forecasting via the Sole Use of Satellite Data by Brianna D'Urso, Sheikh Rabiul Islam, Kamruzzaman Sarker, Ingrid Russell

“…This research outlines a newly devised pipeline for the automated construction of concise datasets designed to convert computationally expensive raw data from a netCDF4 database into a simpler format, with the end goal of future use in severe weather forecasting via the sole use of satellite data as an alternative to more conventional, expensive and localized means. …”
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Government Access to Personal Data and Transnational Interoperability: An Accountability Perspective by Christopher Docksey, Kenneth Propp

“…This article applies the principle of ʻaccountabilityʼ to the issue of international transfers of personal data and government requirements for access to that data. …”
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mdciao: Accessible Analysis and Visualization of Molecular Dynamics Simulation Data. by Guillermo Pérez-Hernández, Peter W Hildebrand

“…We present mdciao, an open-source command line tool and Python Application-Programming-Interface (API) for easy, one-shot analysis and representation of molecular dynamics (MD) simulation data. Building upon the widely used concept of residue-residue contact-frequencies, mdciao offers a wide spectrum of further analysis and representations, enriched with available domain specific annotations. …”
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Network‐assisted protein identification and data interpretation in shotgun proteomics by Jing Li, Lisa J Zimmerman, Byung‐Hoon Park, David L Tabb, Daniel C Liebler, Bing Zhang

“…Applying CEA on a breast cancer data set, rescued proteins coded by well‐known breast cancer genes. …”
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Coal and gas outburst prediction based on data augmentation and neuroevolution. by Wenbing Shi, Ji Huang, Gaoming Yang, Shuzhi Su, Shexiang Jiang

“…It solves the problems of imbalanced data samples and insufficient diversity. Second, the feature importance score sorting and Sparse PCA dimensionality reduction are performed on the data-augmented samples. …”
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Joint Data Hiding and Partial Encryption of Compressive Sensed Streams by Cristina-Elena Popa, Constantin-Cristian Damian, Daniela Coltuc

“…For insertion, we use a reversible data hiding (RDH) scheme, which is a prediction error expansion algorithm modified to match the statistics of CS measurements. …”
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