Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer by Yixuan Wang, Yue Han, Fei Li, Yuyang Lin, Bei Wang

“…The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = −3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = −8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. …”
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Ixekizumab-induced interstitial lung disease: a case report confirmed by transbronchial lung cryobiopsy by Shota Kaburaki, Naoko Okada, Toru Tanaka, Koichiro Kamio, Yosuke Tanaka, Yasuhiro Terasaki, Kazuo Kasahara, Masahiro Seike

“…The pathophysiological mechanisms and histopathological features of this adverse effect remain poorly documented.Case Presentation: A 69-year-old male with familial psoriasis developed respiratory symptoms after 18 months of ixekizumab therapy. …”
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INTRODUCTION by Ken HYLAND, Octavia-Raluca ZGLOBIU-SANDU, Andrada FĂTU-TUTOVEANU

“…LSP, whether focusing on academic or professional contexts of communication, attempts to discover the key rhetorical structures, language relationships and lexical patterns of target texts by exploring how language is used in specific contexts. …”
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Prediction and prevention of crowd-crush accidents using crowd-density simulation based on unity engine by Chul-Ho Choi, Sung-Wook Park, Jun Park, Jong-Hoon Kim, Jin-Seong Kim, Hyun-Sung Yang, Bok-Eun Lee, Se-Hoon Jung, Chun-Bo Sim

“…By analyzing crowd density, flow patterns, and bottleneck situations, the simulator enables users to identify potential hazards, evaluate evacuation strategies, and develop proactive crowd management measures. …”
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Knowledge Graph-Augmented ERNIE-CNN Method for Risk Assessment in Secondary Power System Operations by Xiang Huang, Ping Li, Ye Wang, Xuchao Ren, Zhenbing Zhao, Gang Li

“…Second, an improved ERNIE-CNN model is developed, incorporating an attention mechanism to effectively fuse semantic features and spatial patterns from operational texts. …”
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Editorial by Bulent Cavas

“…Dear Readers,It is with great pleasure that we present the June 2025 issue of Science Education International. This issue features 11 original research articles that highlight contemporary developments, challenges, and opportunities in science education. …”
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Hematological analysis as a method of monitoring physiological status of medium carnivorous mammals in the Russian Far East by Galina S. Alekseeva, Mariya N. Erofeeva, Jose A. Hernandez-Blanco, Mikhail N. Litvinov, Mariya D. Chistopolova, Mariya D. Kim, Viatcheslav V. Rozhnov, Sergey V. Naidenko

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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…Machine learning (ML) plays a significant role in malware analysis and detection because it can process huge amounts of data, identify complex patterns, and adjust to changing threats. The purpose of this paper is to provide a comprehensive review of the existing research on ML-based techniques used to detect and analyze Android malware. …”
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A dual-core model for ENSO diversity: unifying model hierarchies for realistic simulations by Jinyu Wang, Xianghui Fang, Nan Chen, Bo Qin, Mu Mu, Chaopeng Ji

“…Meanwhile, the nonlinear model assimilates pseudo-observations from the stochastic model while resolving key air-sea interactions, such as oceanic feedback balances and spatial patterns of sea surface temperature anomalies during El Niño peaks. …”
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Exploring Conceptualizations of Disability Using Story-Completion Methods by Nicole Giouridis, Toni Louise Williams, Julia McKenna, Jennifer Rose Tomasone

“…Through the process of thematic analysis, three themes were generated as patterns across stories: (1) assumptions about disability present from first glance; (2) uncertainty in navigating negative assumptions of disability; and (3) from discomfort to acceptance of disability through social connection. …”
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Joint Planning of Renewable Energy and Electric Vehicle Charging Stations Based on a Carbon Pricing Optimization Mechanism by Shanli Wang, Bing Fang, Jiayi Zhang, Zewei Chen, Mingzhe Wen, Huanxiu Xiao, Mengyao Jiang

“…The integration of renewable energy and electric vehicle (EV) charging stations into distribution systems presents critical challenges, including the inherent variability of renewable generation, the complex behavioral patterns of EV users, and the need for effective carbon emission mitigation. …”
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Holographic tomographic volumetric additive manufacturing by Maria Isabel Álvarez-Castaño, Andreas Gejl Madsen, Jorge Madrid-Wolff, Viola Sgarminato, Antoine Boniface, Jesper Glückstad, Christophe Moser

“…Abstract Several 3D light-based printing technologies have been developed that rely on the photopolymerization of liquid resins. …”
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Fifteen Years of Non-Hodgkin Lymphoma in an Indonesian National Referral Hospital: Epidemiologic Trends and Diagnostic Challenges by Agnes Stephanie Harahap, Maria Francisca Ham, Andree Kurniawan, Stefanny Charles, Felix Wijovi, Lugyanti Sukrisman

“…The overall epidemiologic pattern of NHL in this study aligns with the results observed in other Asian countries. …”
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Predicting sleep quality with digital biomarkers and artificial neural networks by Hyolim Lee, Minsung Cho, Sang Won Lee, Sang Won Lee, Sungkyu Park

“…The superior performance of deep learning methods underscores the value of temporal pattern recognition in sleep quality assessment, paving the way for proactive sleep health management in everyday life.…”
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A Kansei-Oriented Morphological Design Method for Industrial Cleaning Robots Integrating Extenics-Based Semantic Quantification and Eye-Tracking Analysis by Qingchen Li, Yiqian Zhao, Yajun Li, Tianyu Wu

“…First, we used web crawlers to harvest user-generated descriptors for industrial floor-cleaning robots and applied Extenics theory to quantify and filter key perceptual imagery features. Second, eye-tracking experiments captured users’ visual-attention patterns during robot observation, allowing us to identify pivotal design elements and assemble a sample repository. …”
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Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

“…By comparing brain activity patterns between Arabic and Hindi, this study contributes to neurolinguistics and offers data that can be used to develop more effective language learning strategies and interventions.…”
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Comparative and phylogenetic analyses using mitogenomes revealed gene re-arrangement of Boletaceae (Boletales) by Xianyi Wang, Jiawei Tao, Zhongyao Guo, Guoyu Wang, Guangyin Xu, Yaping Wang, Yaohang Long, Hongmei Liu

“…Interestingly, species of Neoboletus with different bruising discolouration patterns were found in separate clades, suggesting this trait may reflect underlying genetic divergence. …”
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Biological and genetic characterization of a newly established human primary multidrug-resistant distal cholangiocarcinoma cell line, CBC3T-6 by Mingzhen Bai, Ruoshui Wang, Chongfei Huang, Ruyang Zhong, Ningzu Jiang, Wenkang Fu, Ningning Mi, Long Gao, Yuyao Jin, Haidong Ma, Jie Cao, Haiying Yu, Qiang Jing, Chao Zhang, Ping Yue, Yong Zhang, Yanyan Lin, Hengwei Zhang, Wenbo Meng

“…The inherent tumor characteristics and growth pattern of cancer cells pose a challenge for diagnosis and treatment. …”
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Prospects for the discovery of rich uranium ores in the Kryvorizko-Kremenchutska mineragenic zone of the Ukrainian Shield by G. A. Kalashnyk

“…On this basis, it became possible from new positions to consider the patterns of localization of uranium mineralization of this type in the research area and to conclude about the fundamental possibility of the formation within the Kryvorizko-Kremenchutska mineragenic zone of industrial accumulations of the hydrothermal vein-stock type uranium ores, richer in comparison with ores in carbonate-sodium metasomatites. …”
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Heart Rate Variability-Based Stress Detection and Fall Risk Monitoring During Daily Activities: A Machine Learning Approach by Ines Belhaj Messaoud, Ornwipa Thamsuwan

“…K-means clustering identified three distinct physiological states based on HRV features, such as the high-frequency band power and the root mean square of successive differences between normal heartbeats, suggesting patterns that may reflect stress levels. …”
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