Science and technology indicators by eyes of a librarian by V. S. Lazarev

“…The main directions of the International Conference «STI 2017: Open indicators: innovation, participation and actor-based STI indicators» (Paris, 6-8 September 2017) were the following according to the author's opinion: survey of geographical features, patterns of the science development and a choice of adequate indicators to evaluate these features and patterns; as well as development of new methods for data processing, sharing, analysis and use to assess science and technology. …”
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A deep fusion‐based vision transformer for breast cancer classification by Ahsan Fiaz, Basit Raza, Muhammad Faheem, Aadil Raza

“…Therefore, a deep fusion‐based vision Transformer model (DFViT) that combines CNNs and transformers for better feature extraction is proposed. DFViT captures local and global patterns more effectively by fusing RGB and stain‐normalized images. …”
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Transcriptomic analysis of the 12 major human breast cell types reveals mechanisms of cell and tissue function. by Katelyn Del Toro, Rosalyn Sayaman, Kate Thi, Yamhilette Licon-Munoz, William Curtis Hines

“…We sequence mRNAs from each purified population and investigate transcriptional patterns that reveal their distinguishing features. …”
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Linguistic Analysis of Unplanned Discourse in David Sedaris “Calypso” by Binin Mustafa Saeed, Rozgar Yousif Omar

“…This study thoroughly examines a range of grammatical features and patterns seen in conversational discourse. …”
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Optimizing EEG-Based Sleep Staging: Adversarial Deep Learning Joint Domain Adaptation by Roya Ghasemigarjan, Mohammad Mikaeili, Seyed Kamaledin Setarehdan

“…This results in ambiguous features near class boundaries, diminishing classification accuracy. …”
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Use of information-fusion deep-learning techniques to detect possible electricity theft: A proposed method by Maria Chuwa, Daniel Ngondya, Rukia Mwifunyi

“…This study tested an NTL detection method that transformed electricity consumption (EC) profiles into two-dimensional (2D) and one-dimensional (1D) representations, and utilised deep-learning techniques, specifically convolutional neural networks (CNN) and multi-layer perceptron (MLP), to extract features indicating NTLs. This NTL detection method involved three parallel branches: analysing temporal information from application of a Markov transition field (MTF) to EC patterns; analysing spectral information from application of the continuous wavelet transform (CWT) tool; and extracting frequent co-occurrence features from 1D consumption patterns. …”
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An Explainable Model Using Graph-Wavelet for Predicting Biophysical Properties of Proteins and Measuring Mutational Effects by Shreya Mishra, Neetesh Pandey, Atul Rawat, Divyanshu Srivastava, Arjun Ray, Vibhor Kumar

“…Proteins hold multispectral patterns of different kinds of physicochemical features of amino acids in their structures, which can help understand proteins’ behavior. …”
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A Data Model and Method Framework for Cyberspace Map Visualization by Zheng Zhang, Chenghu Zhou, Minjie Chen, Yibing Cao, Shaojing Fan

“…Using the Routers, BrightKite, and Cables datasets, we developed a web-based CMV system and generated a statistical map, a node-link map, an edge bundling map, a flow map, and a feature distribution map. The experimental results showed that the proposed data model and method framework can be effectively applied to represent the distribution and relations of cyberspace features and help reveal the interaction patterns between cyberspace and geographic space.…”
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Cultural transmission, networks, and clusters among Austronesian-speaking peoples by Joshua C. Macdonald, Javier Blanco-Portillo, Marcus W. Feldman, Yoav Ram

“…We hypothesized that there are differing modes of transmission and patterns of variation in these cultural classes and that geography alone would be insufficient to explain some of these patterns of variation. …”
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A deep learning model for predicting systemic lupus erythematosus-associated epitopes by Jiale He, Zixia Liu, Xiaopo Tang

“…Methods The framework comprises six interconnected components: (1) handcrafted feature extraction encoding biochemical and physicochemical attributes; (2) an embedding layer for dense sequence representation; (3) a Convolutional Neural Network (CNN) branch that captures local patterns from handcrafted features; (4) a Long Short-Term Memory branch for learning temporal dependencies in sequence data; (5) a scaled dot-product attention-based fusion module that integrates complementary information from both branches; and (6) a Multi-Layer Perceptron for final classification. …”
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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…Unsupervised learning approaches varied in the optimal number of clusters but agreed on the importance of home environment features when analysing inter-cluster patterns. Main findings from this study differed from previous studies using only traditional statistical methods on the same database. …”
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Cypsela and Pappus Morphology and Their Significance for the Taxonomic Delimitation of the Genus <i>Saussurea</i> DC. <i>s</i>.<i>str</i>. and Its Allied Genera (Asteraceae) by Rubina Abid, Muhammad Munir, Sana Riaz, Muhammad Qaiser

“…The cypsela morphological data could also help to discover the taxonomic relationship, as there were no specific and detailed reports available of all the taxa reported from the area under consideration. Various cypsela features, like pappus series, cypsela shape, and surface patterns, were found to be the most significant characters for the taxonomic delimitation of <i>Saussurea s.l</i>. …”
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Code-Switching and Borrowing in Algeria by Haoues Ahmed SID

“…Using an ethnographic approach, a sample of students at Mentouri University, Constantine, was recorded to identify and investigate mixing patterns. The paper first looks at the linguistic research on the structural features of code-switching focusing in particular on the code-switching versus borrowing distinction. …”
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Experimental Investigation of Hydrodynamics and Mass Transfer in Dense Fluidized Beds by Laura Molignano, Maurizio Troiano, Roberto Solimene, Fabrizio Scala, Piero Salatino

“…Experimental results confirm that a close relationship exists between expansion patterns of the emulsion phase and mass transfer.…”
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Novel Spatiotemporal Filter for Dim Point Targets Detection in Infrared Image Sequences by Zhaohui Li, Xiaorui Wang, Jianqi Zhang, Delian Liu

“…And the potential targets are then correlated based on target moving patterns. After combining local maximum points and target moving patterns, structure background in infrared scene is removed. …”
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The broadcasting trap: TikTok and the “democratization” of digital content production by Federico Pilati, Pier Luigi Sacco, Matteo Scianna, Oriol Artime

“…Insofar as content production reflects a broadcasting logic, no targeted changes in the design features are likely to substantially affect the patterns of active participation in social media such as TikTok.…”
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Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…This is followed by using the random forest algorithm to classify these clusters and evaluate the importance of various features. Shapley Values are employed to interpret the contribution of individual variables to the model's predictions, considering all possible combinations of features. …”
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MALARIA IN CHILDREN by Richard-Fabian Schumacher, Elena Spinelli

“…Fever is the key symptom, but the characteristic regular tertian and quartan patterns are rarely observed. There are no pathognomonic features for severe malaria in this age group. …”
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Classification of acoustic emission signals registered during the foam drainage process by Z. RANACHOWSKI, P. RANACHOWSKI

“…The subroutines to extract the AE events and its spectral features from the real AE signal recordings are described. …”
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Synchronization of Kuromoto Oscillators on Simplicial Complexes: Hysteresis, Cluster Formation and Partial Synchronization by Samir Sahoo, Neelima Gupte

“…We note that these features can be observed in realistic systems such as nanomaterials and the brain connectome.…”
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