Entre o violoncelo e o cavaquinho: música e sujeito popular em Machado de Assis by Idelber Avelar

“…Devoting special attention to a set of newspaper chronicles and to the stories “Um homem célebre” and “O machete”, the article postulates that Machado’s work was the first literary reflection on music as a pri- vileged cipher of nationality.…”
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Sudden Cardiac Death: The Most Feared but Potentially Preventable Presentation of Wolff-Parkinson-White Syndrome by Ana Rita Pereira, Alexandra Briosa, Rita Miranda, Sofia Sequeira Almeida, Luís Brandão, Hélder Pereira

“…Successful radiofrequency catheter ablation was achieved. Discussion. The reported clinical case recalls fundamental features of the Wolff-Parkinson-White syndrome and outlines the increasing evidence and importance of the invasive risk stratification and even catheter ablation in asymptomatic patients who suffer from this uncommon disease that may have a dramatic and fatal initial clinical manifestation.…”
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Effect of Ice Bag Application to Femoral Region on Pain in Patients Undergoing Percutaneous Coronary Intervention by Sevda Korkut Bayındır, Gülsüm Nihal Çürük, Abdurrahman Oguzhan

“…The results of the study revealed that ice bag application to femoral region was effective in reducing pain induced by femoral catheter removal in patients undergoing percutaneous coronary intervention. …”
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Stenting as a Rescue Treatment of a Pulmonary Artery False Aneurysm Caused by Swan-Ganz Catheterization by Stefanie Keymel, Marc W. Merx, Tobias Zeus, Malte Kelm, Stephan Steiner

“…We report an 82-year old patient who underwent right heart catheterization by a balloon-tipped catheter because of suspected pulmonary hypertension. …”
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HFIFNet: Hierarchical Feature Interaction Network With Multiscale Fusion for Change Detection by Mingzhi Han, Tao Xu, Qingjie Liu, Xiaohui Yang, Jing Wang, Jiaqi Kong

“…Our method has been experimentally evaluated on three public datasets, and outperformed state-of-the-art approaches by 1.06%, 1.41%, and 2.63% in F1 score on the LEVIR-CD, S2Looking, and NALand datasets, respectively. …”
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mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…This software is a versatile open-source tool for processing amplicon sequences, offering advantages such as high speed, efficient memory usage, and the ability to handle large datasets. It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Nonetheless, the lack of consistent large datasets presents a barrier that prevents these algorithms from progressing and being used in real-world scenarios. …”
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MiMeJF: Application of Coupled Matrix and Tensor Factorization (CMTF) for Enhanced Microbiome-Metabolome Multi-Omic Analysis by Zheyuan Ou, Xi Fu, Dan Norbäck, Ruqin Lin, Jikai Wen, Yu Sun

“…However, widely used multi-omic data analyses often employ a stepwise mining approach, failing to harness the full potential of multi-omic datasets and leading to reduced detection accuracy. …”
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Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning by Taojing Ran, Wei Huang, Xianzheng Qin, Xingran Xie, Yingjiao Deng, Yundi Pan, Yao Zhang, Ling Zhang, Lili Gao, Minmin Zhang, Dong Wang, Yan Wang, Qingli Li, Chunhua Zhou, Duowu Zou

“…Higher accuracy was achieved for the HSI group than for the RGB group in both test datasets (94.92 ​% versus 89.85 ​% and 93.19 ​% versus 80.63 ​%, respectively). …”
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Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

“…Concerning the empirical evaluation, D-Wave's quantum annealers and real-world datasets taken from the remote sensing domain have been employed. …”
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Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

“…Both models achieved good classification accuracies, with RF achieving higher accuracy than NN, reaching 94% on simulated datasets and 90% on real-world samples with detectable adulteration levels as low as 1%. …”
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Exome sequencing of UK birth cohorts [version 2; peer review: 2 approved, 1 approved with reservations] by Petr Danecek, Amy Hough, John Wright, Karen Ho, Nicholas J. Timpson, Sarah J. Lindsay, Davide Bonfanti, Daniel S. Malawsky, Rafaq Azad, Deborah Plowman, Sara Widaa, Gemma Shireby, Emla Fitzsimons, David Bann, Matthew E. Hurles, Hilary C. Martin, Susan M. Ring, Dan Mason, Michael A. Quail, Wei Huang, Vivek Iyer, Mahmoud Koko, Iaroslav Popov, Laurie Fabian, Gennadii Zakharov, Ruth Y. Eberhardt, Emma E. Wade, Qin Qin Huang

“…We describe how the datasets were generated and subjected to quality control at the sample, variant and genotype level. …”
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InsectChange: Comment by Gaume, Laurence, Desquilbet, Marion

“…We argue that the disparate and non-standardised units of measurement of insect density among studies may have detrimental consequences for users, as was the case for van Klink et al. (2020a, 2022) who log10(x+1)-transformed these heterogeneous data, compromising the comparison of temporal trends between datasets and the estimation of the overall trend. We show that geographical coordinates assigned by InsectChange to insect sampling areas are inadequate for the analysis of the local influence of agriculture, urbanisation and climate on insect change for 68% of the datasets. …”
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Metatranscriptomic time series insight into antibiotic resistance genes and mobile genetic elements in wastewater systems under antibiotic selective pressure by An-Dong Li, Yuanfang Chen, Lei Han, Ye Li, Ming Xu, Baoli Zhu

“…The transcription profiles of ARGs and MGEs were summarized by searching metatranscriptomic datasets against related databases. Results During incubation, the dosed ampicillin could be removed completely within 8.5 h and 4 h, following first-order biodegradation kinetics models (R 2 : 0.983–0.991). …”
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SymbolNet: neural symbolic regression with adaptive dynamic pruning for compression by Ho Fung Tsoi, Vladimir Loncar, Sridhara Dasu, Philip Harris

“…However, finding compact expressions for high-dimensional datasets remains challenging due to the inherent limitations of genetic programming (GP), the search algorithm of most symbolic regression (SR) methods. …”
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Need for judicious selection of runoff inputs in a global flood model by Jayesh Parmar, Mohit Prakash Mohanty, Subhankar Karmakar

“…To highlight these implications, the present study examines GFM simulations forced with eight state-of-the-art model runoff datasets, including LSMs, GHMs, and reanalysis observations, uncovering unsafe inter-model flood depth variation (IMDV). …”
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Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning by Chuan Lu, Mei Han, Qiqi Ma, Li Ying, Yue Zhang

“…We downloaded CAD and NAFLD datasets from the Gene Expression Omnibus (GEO) database and analyzed the differentially expressed genes (DEGs) by limma. …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…Unlike traditional ground truthing activities, drone truthing enabled the generation of large, spatially balanced reference datasets, which are critical for machine learning classification systems. …”
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Context aware machine learning techniques for brain tumor classification and detection – A review by Usman Amjad, Asif Raza, Muhammad Fahad, Doaa Farid, Adnan Akhunzada, Muhammad Abubakar, Hira Beenish

“…It identifies challenges in tumor classification, segmentation, datasets, and modalities, employing various neural network architectures. …”
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Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality by Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Mohd Zairul Mazwan Jilani

“…Our approach is evaluated across multiple real-world hyper-networks datasets, demonstrating its superiority over traditional link prediction methods. …”
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