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Новости за 21.10.2024

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Distributional hypothesis as isomorphism between word-word co-occurrence and analogical parallelograms

Plos.org 
En

by Takuma Torii, Akihiro Maeda, Shohei Hidaka

Most of the modern natural language processing (NLP) techniques are based on the vector space models of language, in which each word is represented by a vector in a high dimensional space. One of the earliest successes was demonstrated by the four-term analogical reasoning task: what is to C as B is to A? The trained word vectors form “parallelograms” representing the quadruple of words in analogy. This discovery in NLP offers us insight into... Читать дальше...

Resonance and beat perception of ballroom dancers: An EEG study

Plos.org 
En

by Xuru Wang, Chenglin Zhou, Xinhong Jin

Purpose

The ability to synchronize the perceptual and motor systems is important for full motor coordination and the core determinant of motor skill performance. Dance-related training has been found to effectively improve sensorimotor synchronization, however, the underlying characteristics behind these improvements still warrant further exploration. This study was conducted to investigate the behavioral and neuroactivity characteristics of ballroom dancers relative to those of non-dancers. Читать дальше...

Predictive immunoinformatics reveal promising safety and anti-onchocerciasis protective immune response profiles to vaccine candidates (Ov-RAL-2 and Ov-103) in anticipation of phase I clinical trials

Plos.org 
En

by Derrick Neba Nebangwa, Robert Adamu Shey, Daniel Madulu Shadrack, Cabirou Mounchili Shintouo, Ntang Emmaculate Yaah, Bernis Neneyoh Yengo, Mary Teke Efeti, Ketura Yaje Gwei, Darling Bih Aubierge Fomekong, Gordon Takop Nchanji, Arnaud Azonpi Lemoge, Fidele Ntie‑Kang, Stephen Mbigha Ghogomu

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Precomputed low-frequency lighting in cinematic volume rendering

Plos.org 
En

by Yuliang Yuan, Jinzhu Yang, Qi Sun, Yan Huang

Cinematic Rendering (CR) employs physical models such as ray tracing and global illumination to simulate real-world light phenomena, producing high-quality images with rich details. In the medical field, CR can significantly aid doctors in accurate diagnosis and preoperative planning. However, doctors require efficient real-time rendering when using CR, which presents a challenge due to the substantial computing resources demanded by CR’s ray tracing and global illumination models. Читать дальше...

Need for a paradigm shift in soil-transmitted helminthiasis control: Targeting the right people, in the right place, and with the right drug(s)

Plos.org 
En

by Paul M. Emerson, Darin Evans, Matthew C. Freeman, Christy Hanson, Khumbo Kalua, Jennifer Keiser, Alejandro Krolewiecki, Lynn Leonard, Bruno Levecke, Sultani Matendechero, Arianna Rubin Means, Antonio Montresor, Denise Mupfasoni, Rachel L. Pullan, Lisa A. Rotondo, Mariana Stephens, Kristin M. Sullivan, Judd L. Walson, Tijana Williams, Jürg Utzinger

Hybrid Machine Learning Approach to Zero-Inflated Data Improves Accuracy of Dengue Prediction

Plos.org 
En

by Micanaldo Ernesto Francisco, Thaddeus M. Carvajal, Kozo Watanabe

Background

Spatiotemporal dengue forecasting using machine learning (ML) can contribute to the development of prevention and control strategies for impending dengue outbreaks. However, training data for dengue incidence may be inflated with frequent zero values because of the rarity of cases, which lowers the prediction accuracy. This study aimed to understand the influence of spatiotemporal resolutions of data on the accuracy... Читать дальше...