Monitoring Antarctic krill (Euphausia superba) distribution in the Southern Ocean: environmental DNA (eDNA) adds to the toolbox by Leonie Suter, Leonie Suter, Alicia Burns, Alicia Burns, Alicia Burns, Sophie Bestley, Sophie Bestley, Jez Bird, Madeleine J. Brasier, Madeleine J. Brasier, Martin Cox, Martin Cox, Derek Hamer, Olivia J. Johnson, So Kawaguchi, So Kawaguchi, So Kawaguchi, Rob King, Rob King, Andreas Klocker, Jessica Melvin, Christine K. Weldrick, Christine K. Weldrick, Simon Wotherspoon, Ben Raymond, Ben Raymond

“…We used quantitative PCR to measure Antarctic krill eDNA abundance and age, and eDNA metabarcoding to detect any krill species. This eDNA data was compared to acoustic, visual and trawl detections of Antarctic krill. …”
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A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection by Yajnaseni Dash, Sudhir C. Sarangi, Vinayak Gupta, Naween Kumar, Ajith Abraham

“…The proposed KAFPN framework is well-suited for image segmentation and object detection because it has multiple-scale feature responses. Stringent data augmentation and correct division of data sets make the model robust and efficient for real-world applications.…”
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Classification and recognition of spatio-temporal behavior of ships based on deep learning of trajectory feature images by Yu ZHOU, Liang HUANG, Chunhui ZHOU, Yuanqiao WEN, Yamin HUANG, Jiaci WANG

“…ObjectiveTo address the issues of low efficiency and inaccurate ship behavior recognition when handling large-scale ship trajectory data, this paper proposes a method for recognizing and classifying ship behaviour based on trajectory feature image modelling and deep learning.MethodA visual coding model is constructed for the salient features, including speed, acceleration, heading, steering rate, and trajectory point density. …”
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A health management system for large vertical mill by Sugai Han, Ansheng Li, Hongchao Wang, Xiaoyun Gong, Liangwen Wang, Yixiang Huang, Yanming Li, Wenliao Du

“…More specifically, in order to manage reservoirs of state-related running data, the intrinsic physic data, and diagnosis knowledge base, an entity-relationship-model-based database is first constructed. …”
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A computational diagnostic model for infectious diseases via similarity measures on N-framed plithogenic hypersoft sets by Muhammad Rayees Ahmad, Usman Afzal, Nadir Omer, Ali Delham Algarni, Sara A. Ghorashi, Huda Eltayeb

“…It can adapt to areas like AI-driven analytics or infrastructure monitoring anywhere shifting patterns in uncertain systems need to be understood. By measuring and visualizing change over time, this research boosts diagnostic accuracy in medicine and opens new ways to tackle dynamic data across fields.…”
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Wearable System for Cardiac Diagnosis and Monitoring: Clustering Analysis and Usability Assessment Using Fractal Geometry by Jose Sulla Torres, Cusirramos Montesinos Roderick Nestor, Sandra Catalina Correa Herrera, Jairo Jattin Balcazar, Herwin Huillcen Baca, Agueda Munoz del Carpio Toia

“…The system was developed using the CRISP-DM methodology, ensuring a structured and data-driven implementation. A mobile application, “My Cardio,” was designed for Android-based smartwatches, enabling the collection of real-time heart rate data and cloud storage for subsequent fractal-based processing. …”
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Kohonen Mapping of the Space of Vibration Parameters of an Intact and Damaged Wheel Rim Structure by Arkadiusz Rychlik, Oleksandr Vrublevskyi, Daria Skonieczna

“…In the subsequent stage, the amplitude and frequency cycles served as input data for the neural network, and based on them, self-organizing maps (SOM) were generated. …”
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Minimal Clinically Important Differences With the Outcomes of the App-Based Japanese Allergic Conjunctival Diseases Quality of Life Questionnaire: Cross-Sectional Observational Stu... by Ken Nagino, Jaemyoung Sung, Akie Midorikawa-Inomata, Yasutsugu Akasaki, Takeya Adachi, Nobuyuki Ebihara, Ken Fukuda, Atsuki Fukushima, Kenta Fujio, Yuichi Okumura, Atsuko Eguchi, Keiichi Fujimoto, Hurramhon Shokirova, Alan Yee, Yuki Morooka, Tianxiang Huang, Kunihiko Hirosawa, Shintaro Nakao, Hiroyuki Kobayashi, Takenori Inomata

“…Data were collected through the app, ensuring comprehensive user input. …”
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Economic burden of breast cancer in India, 2000–2021 and forecast to 2030 by Rakesh N Pillai, Aleena Alex, Narassima M.S., Vivek Verma, Ajil Shaji, Keechilat Pavithran, D. K. Vijaykumar, Denny John

“…The ARIMA (Auto-Regressive Integrated Moving Average) model was employed to analyze and predict breast cancer prevalence in India up to the year 2030 (time-series forecasting). Data were visualized and checked for stationarity using the Augmented Dickey-Fuller (ADF) test. …”
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Assessment of Nurses’ Knowledge of Multiple Sclerosis in Morocco by Rachid Lotfi, Hind Bel Amgharia, Mourad Chikhaoui, Abdeslam El Kardoudi, Fatiha Chigr

“…We opted for multivariable logistic regression models to analyze the data. The results highlighted a significant deficit in nurses’ knowledge of MS. …”
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Research Progress on the Impact of Nighttime Outdoor Environments on Residents’ Health by Chongxian CHEN, Xinrui XIONG, Guangsi LIN, Jingyi LIU

“…Moreover, efforts should focus on integrating multi-source data and encouraging methodological innovation to support the development of high-resolution, individualized exposure – response databases. …”
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DETERMINATION OPTIMAL DISTRIBUTION OF LABOR POTENTIAL OF REGION METHODS OF MATHEMATICAL MODELING by Irina Zaitseva, Alla Nemova

“…The authors of a mathematical model, which is a nonlinear programming problem. Statistical data on the labor force and economic indicators used in the mathematical model for the optimal distribution of the region S labor potential. …”
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Using Spreadsheets to Map a Library Reclassification, Reorganization, and Merger by Stepanie Wright, Nancy Blase

“…This case study details how an academic science library found spreadsheets to be superbly versatile and valuable for manipulating and visualizing data -- from planning through implementation. …”
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截割减速器参数化设计数据库管理系统的研究 by 李晓豁, 顾红兵

“…A database management system of longitudinal roadheader cutting gearbox parametric design has been developed by ADO database access technology,using Visual C++ 6.0 as development tool and SQL Server 2000 as background database.Therefore,data share and consistency is realized in parametric design,and,query and edition of basic information and dimension parameters of gearbox parts is also became conveniently for users.Moreover,the function and implementation method of this database management system is also described in detail.So it can be used as a reference for the database management system development of other mechanical products.…”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…Previous research has confirmed that abacus-based mental calculation (AMC) training can enhance the WMC of subjects and suggested its possible association with changes in functional connectivity. With fMRI data, we construct whole brain resting state connectivity of subjects who underwent long-term AMC training and other subjects from a control group. …”
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The spatial-temporal distribution of hepatitis B virus infection in China,2006–2018 by Liping Jiao, Tuo Shen, Yingzi Han, Wen Liu, Wei Liu, Lin Dang, Mingmin Wei, Yunyun Yang, Jingjing Guo, Meirong Miao, Xiangming Xu

“…Methods We obtained HBV incidence data from the Public Health Science Data Center of the Chinese Center for Disease Control and Prevention for the years 2006 to 2018. …”
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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

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Predictive factors for the development of depression in children and adolescents: a clinical study by Hong Zhang, Peilin Yu, Xiaoming Liu, Xiaoming Liu, Ke Wang, Ke Wang, Ke Wang, Ke Wang

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Range–Null Space Decomposition With Frequency-Oriented Mamba for Spectral Superresolution by Meimei Weng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

“…The R-Space is primarily iteratively derived from the input multispectral image to ensure reliable data consistency, while the N-Space reflects the true distribution of the target HSI, and its proper representation helps improve visual quality. …”
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Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea by Kilian Bürgi, Charles Bouveyron, Diane Lingrand, Benoit Derijard, Frédéric Precioso, Cécile Sabourault

“…For future fieldwork campaigns, the video data collection protocol needs to be modified to better resemble traditional UVC and enhance this acquisition method.…”
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