Preoperative CT-based radiomics nomogram to predict the micropapillary pattern in lung adenocarcinoma of size 2 cm or less by Xiaoyu Pan, Liang Fu, Jiecai Lv, Lijuan Feng, Kai Li, Siqi Chen, Xi Deng, Liling Long

“…PurposeTo develop and validate a radiomics nomogram model for predicting the micropapillary pattern (MPP) in lung adenocarcinoma (LUAD) tumors of ≤2 cm in size.MethodsIn this study, 300 LUAD patients from our institution were randomly divided into the training cohort (n = 210) and an internal validation cohort (n = 90) at a ratio of 7:3, besides, we selected 65 patients from another hospital as the external validation cohort. …”
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Structure-Activity Relationships in Alkoxylated Resorcinarenes: Synthesis, Structural Features, and Bacterial Biofilm-Modulating Properties by Mariusz Urbaniak, Łukasz Lechowicz, Barbara Gawdzik, Maciej Hodorowicz, Ewelina Wielgus

“…In contrast, compound <b>2e</b> and the DMSO control exhibited minimal impact on biofilm development. The results suggest that specific structural features of the alkoxy chains may modulate microbial responses, potentially via membrane stress or quorum sensing interference. …”
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Rationale for granulometric medium characteristics under vibration processing of parts with small grooves and holes by M. A. Tamarkin, E. N. Kolganova, M. A. Yagmurov

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Mapping Disorders with Neurological Features Through Mitochondrial Impairment Pathways: Insights from Genetic Evidence by Anna Makridou, Evangelie Sintou, Sofia Chatzianagnosti, Iasonas Dermitzakis, Sofia Gargani, Maria Eleni Manthou, Paschalis Theotokis

“…Genetic, clinical and molecular data were analyzed to elucidate shared and distinct pathophysiological features. A comprehensive table synthesizes genetic causes, inheritance patterns, and neurological manifestations across disorders. …”
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Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

“…This overlap makes it difficult to identify distinct and meaningful symptom patterns as they develop. This study proposes a dimensionality reduction approach combined with a clustering technique to visually analyse structural similarities among SARS-infected individuals, aiming to determine whether aspects such as case progression and diagnosis impact these patterns.MethodsThis analysis utilised the t-Distributed Stochastic Neighbour Embedding (t-SNE) algorithm for dimensionality reduction, combined with Gower's distance to handle categorical data, and k-means clustering. …”
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Features of heat and mechanical characteristics of pulsating flows in gas-air paths of piston engines with turbocharging by L. V. Plotnikov, Y. M. Brodov, B. P. Zhilkin, N. I. Grigoriev

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Conserved functional features of natural killer cell subsets in chicken, human, and murine immune systems by Seung Je Woo, Jaeryeong Kim, Hong Jo Lee, Kyung Youn Lee, Kyung Je Park, Jin-Kyoo Kim, Jin Lee Kim, Byung Chul Park, Minseok Seo, Jae Yong Han

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Multi-Step Natural Gas Load Forecasting Incorporating Data Complexity Analysis with Finite Features by Ning Tian, Bilin Shao, Huibin Zeng, Meng Ren, Wei Zhao, Xue Zhao, Shuqiang Wu

“…This synergy enables effective learning of local features and long-term temporal patterns, resulting in precise predictions. …”
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Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features by Ádám Zsuga, Adrienn Dineva

“…The Transformer model, leveraging self-attention mechanisms, captures both local transient patterns and long-range dependencies within the time-frequency feature space. …”
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Dissecting the genetic features and evolution of Staphylococcus aureus sequence type 88: a global perspective by Ye Jin, Chenyang Gao, Gaoqin Teng, Zhenchao Zhou, Wangxiao Zhou, Man Huang

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Profiling urban water consumption patterns in Ho Chi Minh City using time series clustering method by Minh Trang Nguyen Thi, Minh Nguyet Nguyen, Quoc Thang Truong Tan, Le Ngoc Thien

“…By applying feature extraction and K-Means clustering, an unsupervised learning technique, this research identifies distinct water consumption patterns among 36 district metering areas in the study region. …”
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A model of the origins and development of Aleut by Anna Berge, Ben Potter, Jason Rogers

“…We here develop an integrated archaeogenetic model consistent with existing data on archaeological and genetic patterning among northern populations to evaluate the prehistoric development of Unangam Tunuu and related languages. …”
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Brain Tumour Detection Using VGG-Based Feature Extraction With Modified DarkNet-53 Model by S. Trisheela, Roshan Fernandes, Anisha P. Rodrigues, S. Supreeth, B. J. Ambika, Piyush Kumar Pareek, Rakesh Kumar Godi, G. Shruthi

“…The objective of AI research and development is to create intelligent systems capable of performing tasks and reasoning like humans. …”
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Research and optimization of a multilevel fire detection framework based on deep learning and classical pattern recognition techniques by Qi Liu, Hong Chen, Da Lin

“…Additionally, the use of Complete Local Binary Pattern (CLBP) technology for texture feature extraction, combined with VQGAN technology for accurate flame identification through sample reconstruction, underscores our innovative approach. …”
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Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

“…Ecological networks play a crucial role in balancing conservation and development, with notable dependencies on spatial scale, particularly within specific scale ranges. …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

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Evolutionary dynamics of Orchid DL paralogs: gene duplication, functional divergence, and expression patterns across Orchid subfamilies by Francesca Lucibelli, Angela Carfora, Annette Becker, Katrin Ehlers, Serena Aceto

“…The study of transcription factor genes, such as the YABBY gene DROOPING LEAF, is crucial for understanding the molecular mechanisms underlying orchid development and evolution. This study aims to elucidate the evolutionary dynamics and expression patterns of DL genes across orchid subfamilies. …”
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A rapid-application emissions-to-impacts tool for scenario assessment: Probabilistic Regional Impacts from Model patterns and Emissions (PRIME) by C. Mathison, C. Mathison, E. J. Burke, G. Munday, C. D. Jones, C. D. Jones, C. J. Smith, C. J. Smith, C. J. Smith, C. J. Smith, N. J. Steinert, N. J. Steinert, A. J. Wiltshire, A. J. Wiltshire, C. Huntingford, E. Kovacs, L. K. Gohar, R. M. Varney, D. McNeall, D. McNeall

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Gene expression noise in spatial patterning: hunchback promoter structure affects noise amplitude and distribution in Drosophila segmentation. by David M Holloway, Francisco J P Lopes, Luciano da Fontoura Costa, Bruno A N Travençolo, Nina Golyandina, Konstantin Usevich, Alexander V Spirov

“…Insofar as many of these are common features of genes (e.g. multiple regulatory sites, cooperativity, self-feedback), the current results contribute to the general understanding of the reproducibility and determinacy of spatial patterning in early development.…”
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Traditional culture of settlements associated with the natural environment: the case of Yi minority Southwest China by Likai Lin, Yan Gui

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