Criterion placement threatens the construct validity of neural measures of consciousness by Johannes Jacobus Fahrenfort, Philippa A Johnson, Niels A Kloosterman, Timo Stein, Simon van Gaal

“…A hallmark approach has been to ask human observers to judge stimuli as ‘seen’ (conscious) and ‘unseen’ (unconscious) and use post hoc sorting of neural measurements based these judgments. …”
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Research on Sparse Code Multiple Access Detection Technology in Satellite Communication Systems by Yiting JIANG, Lidong ZHU

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重载齿轮全齿面接触分析 by 丁雄威, 黎荣, 丁国富, 姬广平, 许小龙

“…To acquire precise stress distribut ion of the tooth surface, the accurate solid model is established, the stress distribut ion of the whole tooth surface in meshing is analyzed, and the stress of five key points which def ined by AGMA standard is analyzed as the main object of post processing.…”
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La Morue Normande, de la conserverie au musée by Florence Levert

“…Initially created to dry cods brought by hundreds of tons, it will undergo many changes until its closing. Thank to its post-beam structure, an easy adaptation is provided. …”
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AI Merged With Human Knowledge Produces the Best Possible Weather Forecasts by Stephen G. Penny

“…This approach draws from the same underlying principles of dynamical systems theory and chaos theory that have been the foundation of operational NWP for the last half century, and extend upon machine learning based post‐processing efforts. The results show that an imperfect numerical model enhanced by the cross‐attractor transforms have the potential to outperform both MLWP models and NWP models post‐processed with ML, highlighting the value in merging prior knowledge with data‐driven ML methods.…”
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Analysis and correcting pronunciation disorders based on artificial intelligence approach by Nataliia Melnykova, Bohdan Pavlyk, Oleh Basystiuk, Stepan Skopivskyi

“…The analysis of machine learning methods led to the selection of two experimental models: a Convolutional Neural Network (CNN) utilizing mel-spectrograms for image-based sound representation and a Long Short-Term Memory (LSTM) network combined with mel-frequency cepstral coefficients, aiming to explore the effectiveness of sequential data processing in the context of pronunciation disorder classification in post-traumatic military patients. …”
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Exploring BERT for Aspect-based Sentiment Analysis in Portuguese Language by Émerson Philippe Lopes, Larissa Freitas, Gabriel Gomes, Gerônimo Lemos, Luiz Otávio Hammes, Ulisses B. Corrêa

“…Aspect-Based Sentiment Analysis (ABSA) is a Natural Language Processing (NLP) task that extracts referred aspects from text and assigns polarities to opinions about those aspects. …”
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Additive friction stir deposition vs. friction surfacing: Comparison of friction stir-based approaches for groove repair of high strength aluminum alloys by Zina Kallien, Victor A. Rojas, Pietro Aspes, Adam N. Swinney, Trevor J. Fleck, J. Brian Jordon, Paul G. Allison, Benjamin Klusemann

“…All deposition strategies present a robust process behavior for groove repair. The AFSD deposits present a sound metallurgical bonding, whereas the FS repair presents some unbonded regions; however, this is significantly improved when hybrid friction diffusion bonding (HFDB) is applied as post-processing technique to the FS deposit. …”
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Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study. by Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

“…However, there are still several challenges in the assessment of depression detection approaches in which other conditions such as post-traumatic stress disorder (PTSD) are present. …”
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PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network by Mahmood A. Rashid, Mayank Chaturvedi, Kuldip K. Paliwal

“…RNA-binding proteins (RBPs) are pivotal in regulating various biological processes, including RNA splicing and protein translation. …”
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Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data by Petrov Vladislav, Ustinov Stepan, Minaev Vasilii

“…Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. …”
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Online Optical Axis Parallelism Measurement Method for Continuous Zoom Camera Based on High-Precision Spot Center Positioning Algorithm by Chanchan Kang, Yao Fang, Huawei Wang, Feng Zhou, Zeyue Ren, Feixiang Han

“…Second, measurement software developed using Qt Creator can output real-time data on optical axis parallelism across the full focal range post-measurement. This software features a multi-threaded architecture that facilitates the concurrent execution of image acquisition, data processing, and serial communication. …”
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Injury of winter soft wheat seeds as an indicator of reducing its sowing traits by E. V. Ionova, Yu. G. Skvortsova, G. A. Filenko, T. I. Firsova

“…It has been established that it is impossible to obtain high-quality seeds without reducing grain injury during harvesting and post-harvesting processing. Seeds with a damaged hull and partly an embryo can germinate under laboratory conditions. …”
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Computational problems of analysis of short next generation sequencing reads by R. te Boekhorst, F. M. Naumenko, N. G. Orlova, E. R. Galieva, A. M. Spitsina, I. V. Chadaeva, Y. L. Orlov, I. I. Abnizova

“…This paper is reviewing post-processing errors and computational methods to discern them. …”
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Fatigue life enhancement via residual stress engineering due to local forming during refill friction stir spot welding by Niklaas Becker, Daniel Kuhn, Jan Piochowiak, Benjamin Klusemann

“…The introduction of post-processing steps such as laser-shock or hammer peening resulted in an improvement but also in a considerable higher effort. …”
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Space Environmental Effects on Multifunctional Radiation Shielding Materials by Subhayu Sen, John Scott O’Dell, Yongzhe Yan, Lawrence Heilbronn, Haibin Ning, Miria Finckenor, Meghan Carrico, Selvum Pillay

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Robust face forgery detection integrating local texture and global texture information by Rongrong Gong, Ruiyi He, Dengyong Zhang, Arun Kumar Sangaiah, Mohammed J. F. Alenazi

“…Consequently, they may overfit the training dataset and perform poorly on data from diverse sources or be subjected to various post-processing operations. To address this challenge, we propose leveraging multi-scale texture information to expose subtle artifacts in RGB space. …”
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MECHANICAL PROPERTIES OF BUCKWHEAT GRAIN STORED UNDER SNOW by Mar'in V.A., Vereshchagin A.L., Bychin N.V.

“…Their presence should be considered when preparing grain for processing.…”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…Previous researchers have proposed a range of methods for this purpose, but these suffer from limits such as unclear post-operative outcomes, invasiveness, limited data volume, and single DRE type. …”
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COMMUNITY-BASED ECO-ENZYMES PRODUCTION: A STEP TOWARD A CLEAN AND SUSTAINABLE ENVIRONMENT by Arshy Prodyanatasari, Krisnita Dwi Jayanti, Mely Purnadianti, Mardiana Prasetyani Putri, Jerhi Wahyu Fernanda

“…Results: In this activity, it was found that there was an increase in participant’s knowledge about household organic waste processing, especially in making eco-enzymes. This is known from the results of pretest and post-test scores which have increased significantly. …”
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