Video-Based Plastic Bag Grabbing Action Recognition: A New Video Dataset and a Comparative Study of Baseline Models by Pei Jing Low, Bo Yan Ng, Nur Insyirah Mahzan, Jing Tian, Cheung-Chi Leung

“…The second approach leverages a multiple-frame <i>convolutional neural network</i> (CNN) to exploit temporal and spatial patterns in the video data. …”
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Fit for School Study protocol: early child growth, health behaviours, nutrition, cardiometabolic risk and developmental determinants of a child’s school readiness, a prospective co... by Peter Szatmari, Mark S Tremblay, Peter Jüni, Christopher Allen, Julia Thompson, Kevin Thorpe, Douglas Campbell, Andreas Laupacis, Elise Mok, Catherine S Birken, Jessica A Omand, Kim M Nurse, Cornelia M Borkhoff, Jonathon L Maguire, Muhammad Mamdani, Patricia C Parkin, Janis Randall Simpson, Eric Duku, Caroline Reid-Westoby, Magdalena Janus, Catherine S. Birken, Jonathon L. Maguire, Ronald Cohn, Cornelia M. Borkhoff, Charles Keown-Stoneman, Christine Kowal, Dalah Mason, Jillian Baker, Denis Leduc, Patricia Li, Navindra Persaud, Susan Shepherd, Carolyn Taylor, Farnaz Bazeghi, Imaan Bayoumi, Sarah Carsley, Patricia Raso, Amanda Offord

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Zero-shot intelligent fault diagnosis via semantic fusion embedding by Honghua Xu, Zijian Hu, Ziqiang Xu, Qilong Qian

“…On the other hand, a neural network-based metric module is designed to replace traditional distance measurements, enhancing the transferring capability between domains. …”
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Predicting Excavation-Induced Tunnel Response by Process-Based Modelling by Linlong Mu, Jianhong Lin, Zhenhao Shi, Xingyu Kang

“…This paper proposes an initiative to solve this problem by using process-based modelling, where information generated from the interaction processes between soils, structures, and excavation activities is utilized to gradually reduce uncertainty related to soil properties and to learn the interaction patterns through machine learning techniques. To illustrate such a concept, this paper presents a simple process-based model consisting of artificial neural network (ANN) module, inverse modelling module, and mechanistic module. …”
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Well Testing of Fracture Corridors in Naturally Fractured Reservoirs for an Improved Recovery Strategy by Yingying Guo, Andrew Wojtanowicz

“…The results show that diagnostic patterns can be used to infer fracture corridor characteristics and to approximate well positions. …”
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Real-Time Traffic Data Analysis and Deep Learning-based Traffic Volume Classification for Congestion Mitigation at Urban Intersections by Omar Abdullah Hasan, Duraid Y. Mohammed

“…The collected data underwent analysis through signal processing techniques, followed by detection using machine learning models: Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM). Evaluating tow datasets, RTD and IDMT-Traffic, across four frame sizes, the results demonstrate the effectiveness of the proposed method. …”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…The model leverages Gated Recurrent Unit (GRU) layers for capturing long-term temporal dependencies and MCMC sampling for effective latent space exploration, ensuring high variability and accuracy. Experimental evaluations on datasets of Google, Tesla, and Nestlé stock prices demonstrate the model’s superior performance in preserving statistical and temporal patterns, as validated by quantitative metrics (discriminative and predictive scores), statistical tests (Kolmogorov–Smirnov), and t-Distributed Stochastic Neighbour Embedding (t-SNE) visualisations. …”
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Intercomparison of Antarctic Sea-Ice Thickness Estimates from Satellite Altimetry and Assessment over the 2019 Data-Rich Year by Magata Jesaya Mangatane, Marcello Vichi

“…While the methods agreed on the broad spatial patterns of SIT, they clustered in two groups that have significant magnitude differences, with SICC and FDM estimating thicker ice and the lidar-based methods producing the thinnest estimates. …”
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Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans by Gard K. Beinnes, Christine Skjegstad, Sascha Frühholz

“…This points to a critical involvement of the amygdala at neural levels of choice arbitrations rather than in threat evaluations signaled by screams.…”
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The dialog between mother and newborn: insights from immune mediator crosstalk elicited by antenatal SARS-COV-2 exposure by Maria Eduarda Canellas-de-Castro, Maria Eduarda Canellas-de-Castro, Maria Eduarda Canellas-de-Castro, Lizandra Moura Paravidine Sasaki, Lizandra Moura Paravidine Sasaki, Geraldo Magela Fernandes, Geraldo Magela Fernandes, Geraldo Magela Fernandes, Felipe Motta, David Alves de Araújo Júnior, Heidi Luise Schulte, Ângelo Pereira da Silva, Caroline de Oliveira Alves, Rosana Maria Tristão, José Alfredo Lacerda de Jesus, Karina Nascimento Costa, Luiz Claudio Gonçalves de Castro, Luiz Claudio Gonçalves de Castro, Otávio de Toledo Nóbrega, Laila Salmen Espindola, Jordana Grazziela Alves Coelho-dos-Reis, Joaquim Pedro Brito-de-Sousa, Ismael Artur da Costa-Rocha, Vitor Hugo Simões Miranda, Ana Carolina Campi-Azevedo, Vanessa Peruhype-Magalhães, Andréa Teixeira-Carvalho, Ciro Martins Gomes, Ciro Martins Gomes, Ciro Martins Gomes, Alberto Carlos Moreno Zaconeta, Cleandro Pires de Albuquerque, Cleandro Pires de Albuquerque, Licia Maria Henrique da Mota, Licia Maria Henrique da Mota, Licia Maria Henrique da Mota, Olindo Assis Martins-Filho, Alexandre Anderson de Sousa Munhoz Soares, Alexandre Anderson de Sousa Munhoz Soares

“…GoalThe present study intended to evaluate whether the profile of soluble immune mediators observed in cord blood samples resembles the pattern identified for mother serum samples.MethodsFor this purpose, parallel analysis of chemokines, cytokines, and growth factors was carried out in mother–newborn paired samples from acute and convalescent COVID-19 subgroups (Early, Intermediate, and Late) as well as healthy controls (HC).ResultsData demonstrated that increased levels of CCL11, IFN-γ, IL1-Ra, and G-CSF were observed in cord blood samples from most COVID-19 subgroups, with fold change magnitude from 1.6× to 8.2× as compared with HC. …”
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A Supervised Approach for Land Use Identification in Trento Using Mobile Phone Data as an Alternative to Unsupervised Clustering Techniques by Manuel Mendoza-Hurtado, Gonzalo Cerruela-García, Domingo Ortiz-Boyer

“…By analyzing spatiotemporal patterns in CDRs, we trained and evaluated several classification algorithms, including k-nearest neighbors (kNN), support vector machines (SVM), and random forests (RF), to map land use categories, such as home, work, and forest. …”
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Accident Factors Importance Ranking for Intelligent Energy Systems Based on a Novel Data Mining Strategy by Rongbin Li, Jian Zhang, Fangming Deng

“…This paper introduces an innovative text analysis method, the Sparse Coefficient Optimized Weighted FP-Growth Algorithm (SCO-WFP), which is designed to optimize the processing of power accident-related textual data and more effectively uncover hidden patterns behind accidents. The method enhances the evaluation of sparse risk factors by preprocessing, clustering analysis, and calculating piecewise weights of power accident data. …”
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MACHINE LEARNING AND ECONOMETRICS: BRIDGING THE GAP FOR ENHANCED ECONOMIC ANALYSIS by Jamiu Adeniyi Yusuf, Abdulkadri IDRIS, Azeez Olawale AKINLOLU

“…It illustrates how deep learning models, like neural networks, improve forecasting accuracy by capturing complex patterns in time series data. …”
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AI-Driven Drought Monitoring: Advanced Machine Learning Techniques for Early Prediction by Vij Priya, Tiwari Ankita

“…The study employs Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) to capture complex spatial and temporal patterns, enabling more accurate and timely drought forecasting compared to traditional approaches. …”
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Intra-seasonal Variability of Ball Speed and Coordination of Two Team-Handball Throwing Techniques in Elite Male Adolescent Players. by Serrien B., Clijsen R., Anders S., Goossens M., Baeyens J-P.

“…For coordination variability, a qualitative description based on the output of neural networks was used. All participants presented multiple coordination patterns, representing multi-stability on a month-to-month timescale and switched between stable states without the manipulation of any control variable. …”
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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

“…The model was subsequently trained with sub-sample data containing 80% of the data while this part was further tested with 20% for verifying the generalizability and robustness of the model. Performance evaluation was conducted on the linear regression, random forest and artificial neural networks (ANN) through statistical metrics such as root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). …”
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ZO-1 boosts the in vitro self-renewal of pre-haematopoietic stem cells from OCT4-reprogrammed human hair follicle mesenchymal stem cells through cytoskeleton remodeling by Yingchun Ruan, Xingang Huang, Pengpeng Sun, Xiaozhen Yu, Xiaohua Tan, Yaolin Song, Hua Chen, Zhijing Liu

“…These intermediate cells exhibit gene expression patterns similar to pre-HSCs, making them promising for artificial haematopoiesis. …”
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Acute Respiratory Infections Identification With Cough Sounds and Overlapping Patch Modulated Vision Transformers by P. V. V. Kishore, D. Anil Kumar, Pasupuleti Sasikiran, Kaja Krishna Mohan, P. Praveen Kumar, Mogadala Vinod Kumar

“…Variable cough sound vs silent intervals between samples of a class in MFCC spectral images has shown to influence training algorithms to learn meaningful patterns for classification. To learn all possible local patterns in the MFCC cough images using a vision transformer model (ViT), we propose an image patch overlapping vision transformer <inline-formula> <tex-math notation="LaTeX">$IPO-ViT$ </tex-math></inline-formula>. …”
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Synthesis of Meso Carbon Micro Beads from Mesophase Pitch by Suspension Method by A. R. Yousefi, M. Sobhani, Sh. Torkian, H. Jamali, H. Sheikh, M. R. Loghman Estraki

“…According to the obtained results, the presence of x-ray patterns located at 2θ equal to 26 and 43 degrees confirmed the formation of a graphite hexagonal network. …”
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Protected areas do not outperform urban wastelands in supporting insect pollinators and pollination in central Germany by Panagiotis Theodorou, Wilhelm H.A. Osterman, Janna H. Mrozek, Bilyana S. Wild, Michael Beckmann, Julia Osterman, Robert J. Paxton

“…The Natura 2000 network is central to Europe's conservation efforts to address biodiversity decline, with ongoing plans to expand protected areas and restore habitats across the European Union. …”
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