A novel framework for sentiment classification employing Bi-GRU optimized by enhanced human evolutionary optimization algorithm by Xi Wang, Samad Nourmohammadi

“…Abstract Sentiment analysis of content is highly essential for myriad natural language processing tasks. Particularly, as the movies are often created on the basis of public opinions, reviews of people have gained much attention, and analyzing sentiments has also become a crucial and demanding task. …”
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Distributed MIMO Networks With Rotary ULAs for Indoor Scenarios Under Rician Fading by Eduardo N. Tominaga, Onel L. A. Lopez, Tommy Svensson, Richard D. Souza, Hirley Alves

“…Considering a spatially correlated Rician fading model, the optimal angular position of the RULAs is jointly computed by the central processing unit using particle swarm optimization as a function of the location of the active devices. …”
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Oral microbial community composition is associated with pancreatic cancer: A case‐control study in Iran by Emily Vogtmann, Yongli Han, J. Gregory Caporaso, Nicholas Bokulich, Ashraf Mohamadkhani, Alireza Moayyedkazemi, Xing Hua, Farin Kamangar, Yunhu Wan, Shalabh Suman, Bin Zhu, Amy Hutchinson, Casey Dagnall, Kristine Jones, Belynda Hicks, Jianxin Shi, Reza Malekzadeh, Christian C. Abnet, Akram Pourshams

“…The sequencing data were processed using the DADA2 plugin in QIIME 2 and taxonomy was assigned against the Human Oral Microbiome Database. …”
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Unified Visual-Aware Representations for Data Analytics by Ladislav Peska, Ivana Sixtova, David Hoksza, David Bernhauer, Jakub Lokoc, Tomas Skopal

“…The desired property of the visualizations is the ability to visually encode the semantic features of the original data. Hence, processing of visualizations (images) by generic deep learning models results in deep feature vectors that could be uniformly used in standard data retrieval/analytics tasks. …”
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Robust Estimation of Unsteady Beat-to-Beat Systolic Blood Pressure Trends Using Photoplethysmography Contextual Cycles by Xinyi Huang, Xianbin Zhang, Richard Millham, Lin Xu, Wanqing Wu

“…The generated feature vectors are then processed by Transformer layers with relative position encoding (RPE) to capture inter-cycle interactions and temporal dependencies in the second stage. …”
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

“…Finally, we applied principal component analysis (PCA) to reduce the dimensionality of these feature embeddings and fed the processed feature vectors into the final classifier. …”
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Railway reconstruction from 3D point cloud using Deep Learning and Parametric Modeling by A. Yarroudh, A. Kharroubi, I. Jeddoub, Z. Ballouch, R. Billen

“…Although 3D point cloud data provides detailed representations of railway environments, its unstructured nature complicates processing and modeling. This paper presents a methodology that combines deep learning with parametric modeling to reconstruct railway environments from 3D point cloud data, focusing on key components such as rails, catenary wires and poles. …”
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Influence of Spatial Scale Effect on UAV Remote Sensing Accuracy in Identifying Chinese Cabbage (<i>Brassica rapa</i> subsp. <i>Pekinensis</i>) Plants by Xiandan Du, Zhongfa Zhou, Denghong Huang

“…The recognition results were vectorized and combined with field data for the statistical verification of accuracy. …”
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Non-Invasive Painting Pigment Classification Through Supervised Machine Learning by Michal Piotr Markowski, Solongo Gansukh, Mateusz Madry, Robert Borowiec, Jaroslaw Rogoz, Boguslaw Szczupak

“…The proposed framework offers a lightweight, interpretable, and scalable solution for non-invasive pigment analysis in cultural heritage research that can be implemented with accessible imaging hardware and minimal post-processing.…”
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The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) by M. Buehner, J.-F. Caron, E. Lapalme, A. Caya, P. Du, Y. Rochon, S. Skachko, M. Bani Shahabadi, S. Heilliette, M. Deshaies-Jacques, W. Chang, M. Sitwell

“…The modular software design also allows the code that implements high-level components (e.g. observation operators, error covariance matrices, state vectors) to easily be used in many different ways depending on the application, such as for both variational and ensemble DA algorithms, for estimating the observation impact on short-term forecasts, and for performing various observation pre-processing procedures. …”
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DISCRETE DEFORMATION WAVE DYNAMICS IN SHEAR ZONES: PHYSICAL MODELLING RESULTS by S. A. Bornyakov, I. A. Panteleev, A. A. Tarasova

“…Figure 1 (B) shows an optical image of a fragment of the shear zone. The photos were processed by the digital image correlation method described in [Sutton et al., 2009]. …”
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Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting. by Chengjin Yang, Yanzhong Zhai, Zehua Liu

“…Secondly, BiTCEN designed in this paper effectively captures the short-term dependencies in the corn price data through the unique bidirectional structure and the special hybrid convolutional structure, and then accurately extracts the local features of the data, while BiLSTM mines the long-term trends and complex dependencies in the data by exploiting its bidirectional processing and long-term memory capabilities. Finally, FECAM enhances the focus on key temporal features in the frequency domain by grouping the input features along the channel dimensions and applying discrete cosine transform to generate attention vectors, improving the prediction accuracy and robustness of the model. …”
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How much energy can giant reed and Miscanthus produce in marginal lands across Italy? A modelling solution under current and future scenarios by Giovanni Alessandro Cappelli, Fabrizio Ginaldi, Davide Fanchini, Enrico Ceotto, Marcello Donatelli

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A Molecular Dynamics Study of the Solvation Properties of Sugars in Supercritical Carbon Dioxide by Alexandrine Lambert, Francesca Ingrosso

“…Given the biocompatibility of this medium, extraction technologies based on scCO₂ are particularly attractive, and a molecular-level understanding of intermolecular interactions is crucial for optimizing processing conditions. Functionalized sugars and cyclic oligosaccharides, such as cyclodextrins, can be rendered soluble in scCO₂, opening new avenues for vectorization strategies and supramolecular chemistry in this medium. …”
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Three-Dimensional Minute-Scale Displacement of Fels Slide Measured With Multistation <italic>Ku</italic>-Band Ground-Based Radar by Farnoush Hosseini, Bernhard Rabus, Franz J. Meyer, Davide Donati, Doug Stead, John J. Clague

“…We present a methodological framework for processing ground-based radar data that corrects complex atmospheric effects to uncover the relatively small subdaily deformation rates of the Fels slide and similar DGSDs. …”
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Prediciendo el crimen en ciudades intermedias: un modelo de “machine learning” en Bucaramanga, Colombia by Juan David Gelvez Ferreira, María-Paula Nieto-Rodríguez, Carlos-Andrés Rocha-Ruiz

“…The model used signal processing for graphs and an adaptation of the TF-IDF text vectorization model to the space-time case, for each of the cities’ neighborhoods. …”
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Genomic epidemiology and resistome dynamics of Enterobacter species in a Portuguese Open Air Laboratory: the emergence of the FRI-8 carbapenemase by Pedro Teixeira, Miguel Ramos, Rani Rivière, Mónica Azevedo, Mónica Azevedo, Mónica Azevedo, Mário Ferreira, Maria Manuela Cano, Patrícia Vieira, Lígia Reis, Rui Matias, João Rodrigues, Carina Menezes, Tânia Rosado, António Sequeira, Olga Moreira, Werner Ruppitsch, Werner Ruppitsch, Adriana Cabal-Rosel, Solveig Sølverød Mo, Elsa Dias, Elsa Dias, Elsa Dias, Markus Woegerbauer, Manuela Caniça, Manuela Caniça, Manuela Caniça, Manuela Caniça, Vera Manageiro, Vera Manageiro, Vera Manageiro

“…Over a one year monitoring period, samples from 12 different compartments were collected and processed using selective media to isolate Enterobacter spp., which were subjected to antibiotic susceptibility testing, whole-genome sequencing and subsequent analyses to identify AMR determinants, characterize plasmids and phylogenetic relationships. …”
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Incorporating individually defined brain health priorities in clinical trial outcomes: the electronic Person‐Specific Outcome Measure approach in the United States by Stina Saunders, Ali Jannati, Shane Sheehan, Claudio Toro‐Serey, Sean Tobyne, Killian McManus, David Bates, John Showalter, Álvaro Pascual‐Leone

“…We used natural language processing (k‐means clustering of GloVe vectors) and chi‐squared tests to examine differences between the US and UK populations' answers. …”
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Accuracy evaluation of dental CBCT and scanned model registration method based on pulp horn mapping surface: an in vitro proof-of-concept by Dianhao Wu, Jingang Jiang, Jinke Wang, Shan Zhou, Kun Qian

“…The CBCT and scanned model were processed to generate equivalent point clouds. For the PHMSR method, the similarity between the feature directions of the pulp horn and the surface normal vectors of the crown were used to determine the mapping points in the CBCT point cloud that have a great influence on the pulp pose. …”
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STRESSANDSTRAIN RECONSTRUCTION FOR THE EASTERN SEGMENT OF THE BALTIC SHIELD by Lidia A. Sim, Dmitry V. Zhirov, Anton V. Marinin

“…Neotectonic stresses are studied by the kinematic method [Gushchenko, 1979] on the basis of measurements of tectonic displacment vectors from slickensides (Figure 2). Local stress data processed by the method for determination of general stress fields provide for reconstruction of main normal stresses which are arbitrarily considered as regional stresses [Sim, 1980; 2000]. …”
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