Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…Compared with previous studies, a more stable water content prediction model of Anshan magnetite was constructed by combining data preprocessing, CARS feature screening and nonlinear regression algorithm, which provides higher precision support for water content detection in mining production.…”
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Wind Turbine SCADA Data Imbalance: A Review of Its Impact on Health Condition Analyses and Mitigation Strategies by Adaiton Oliveira-Filho, Monelle Comeau, James Cave, Charbel Nasr, Pavel Côté, Antoine Tahan

“…Although this imbalance can negatively impact analyses such as detection, Condition Monitoring (CM), diagnosis, and prognosis, it is often overlooked in the literature. …”
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Challenges and opportunities for precision livestock farming applications in the rabbit production sector by Tomás Norton, María Cambra-López

“…When considering the future impact of PLF, early disease detection probably offers the highest potential for rabbit production. …”
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The Role of Lymph Node Fine-Needle Aspiration in Penile Cancer in the Sentinel Node Era by Maria Carmen Mir, Olivia Herdiman, Damien M. Bolton, Nathan Lawrentschuk

“…Current non invasive methods to detect lymph nodes metastasis are unreliable. Dynamic Sentinel Node Biopsy (DNSB), ultrasonography (US), and fine needle aspiration (FNA) cytology were proposed to in an attempt to detect sentinel lymph node (SLN). …”
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Research and Optimization of White Blood Cell Classification Methods Based on Deep Learning and Fourier Ptychographic Microscopy by Mingjing Li, Junshuai Wang, Shu Fang, Le Yang, Xinyang Liu, Haijiao Yun, Xiaoli Wang, Qingyu Du, Ziqing Han

“…The proposed method introduces four key innovations to enhance detection accuracy and model efficiency: (1) A novel Conv2Former (Convolutional Transformer) backbone was designed to combine the local pattern extraction capability of convolutional neural networks (CNNs) with the global contextual reasoning of transformers, thereby improving the expressiveness of feature representation. (2) The CARAFE (Content-Aware ReAssembly of Features) upsampling operator was adopted to replace conventional interpolation methods, thereby enhancing the spatial resolution and semantic richness of feature maps. (3) An Efficient Multi-scale Attention (EMA) module was introduced to refine multi-scale feature fusion, enabling the model to better focus on spatially relevant features critical for WBC classification. (4) Soft-NMS (Soft Non-Maximum Suppression) was used instead of traditional NMS to better preserve true positives in densely packed or overlapping cell scenarios, thereby reducing false positives and false negatives. …”
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Diagnosis of Functional Gastrointestinal Disorders and Choice of Treatment Regimen in Constipation Patients by I. V. Maev, A. N. Kazyulin, Yu. A. Kucheryavy, S. V. Cheryomushkin, A. Yu. Goncharenko, А. V. Gilyuk

“…Functional constipation commonly afflicts different ages and negatively impacts the quality of life. The current diagnostic algorithm in chronic constipation includes the disease identification according to Rome Criteria IV, red-flag symptom detection and instrumental laboratory examination. …”
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HER2-low breast cancer. Diagnostics, treatment and its adverse events by Hanna Bartkowiak, Damian Grubski, Kacper Ziarnik, Filip Nadolny, Jędrzej Jabłoński, Martyna Kania, Agnieszka Adamowska, Alicja Śniatała

“…Approximately 50% of HER2 –negative breast cancers express low levels of HER2 receptors.  …”
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Pre-Hospital Point-of-Care Troponin: Is It Possible to Anticipate the Diagnosis? A Preliminary Report by Cristian Lazzari, Sara Montemerani, Cosimo Fabrizi, Cecilia Sacchi, Antoine Belperio, Marilena Fantacci, Giovanni Sbrana, Agostino Ognibene, Maurizio Zanobetti, Simone Nocentini

“…Both the Atellica VTLi and the Elecsys method showed high negative predictive value (NPV), indicating that a negative troponin result effectively ruled out AMI in most cases. …”
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Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling by Muktar H Aliyu, Hafsat U Ibrahim, Rayyan M Garba, Jameel I Ahmad, Kabiru Abdulsalam, Yasir N Jibril, Faisal S Dankishiya, Abdullahi Ibrahim, Ibrahim U Garzali, Aisha A Galadanci, Abdullahi K Suleiman, Abdulgafar L Olawumi, Umar F Abdullahi, Fatima M Mahmud, Amina A Umar, Olive Asafu- Adjaye, Lukman F Owolabi, Baba M Musa

“…Conventional diagnostic methods such as sputum smear microscopy and chest radiography often fail to detect TB accurately in this population due to smear-negative presentations and atypical radiographic findings. …”
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Sentiment Analysis for the 2024 DKI Jakarta Gubernatorial Election Using a Support Vector Machine Approach by Mariani Mariani, Dwi Shinta Angreni, Sri Khaerawati Nur, Rinianty Rinianty, Deni Luvi Jayanto

“…The analysis revealed a distribution of sentiments where 36.1% of comments were positive, 33.4% negative, and 30.5% neutral. These findings illustrate the complexities of public discourse surrounding key political events, highlighting the model's efficacy and the nuances of sentiment detection. …”
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The role of magnetic resonance imaging in radiation Diagnosis of abdominal aortic aneurysm by S. S. Saidov, S. K. Skul'skiy, N. P. Morozova, Ya. A. Lubashev, V. A. Ratnikov

“…At the same time, the existing algorithms for examining patients with AAA, aimed at the timely detection of preand postoperative complications, require significant correction [6, 7]. …”
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The role of artificial intelligence in breast cancer screening as a supportive tool for radiologists by Agata Król, Katarzyna Kwaterska, Karol Kutyłowski, Paweł Łuckiewicz

“…Authors generally focused on cancer detection rate, false positive or negative results, recall rate and the workload involvement. …”
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Diagnostic Utility of ¹⁸F-FDG PET/CT in Infective Endocarditis by Corina-Ioana Anton, Alice-Elena Munteanu, Mihaela Raluca Mititelu, Militaru Alexandru Ștefan, Cosmin-Alexandru Buzilă, Adrian Streinu-Cercel

“…Its integration into diagnostic algorithms may improve clinical management and outcomes in complex IE cases.…”
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Diagnostics of chronic exercise-induced urticaria in a child (a case report) by D. O. Yartseva, S. M. Nedelska

“…Total IgE was increased to 100.5 IU/ml, increased levels of specific IgE to cat allergen (41.13 кU/l), serum ß-lactoglobulin of cow’s milk (2.95 кU/l) and lamb meat (0.41 кU/l) were detected. Autoserum test was positive (histamine – papula of 5 mm, hyperemia of 15 mm, negative control – 0, patient’s serum – papula of 16.5 mm, hyperemia of 24 mm); thyroid autoantibodies and thyroid hormone levels were within normal ranges. …”
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Issues occult hepatitis B virus infection by I. A. Morozov, L. Yu. Ilchenko, N. I. Gromova, I. G. Fyedorov, I. V. Gordeychuk, A. K. Knyazhentseva, E. V. Zverkova, M. I. Mikhaylov

“…Molecular biologic enzymelinked immunoassay (ELISA), polymerase chain reaction (PCR) and morphological (immunohistochemistry, electron microscopy) methods were utilized for diagnostics.Results. Novel two-stage algorithm of diagnostics of CHB occult form was developed. …”
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Unveiling Hate Speech Dynamics: An Examination of Discourse Targeting the Spanish Meteorological Agency (AEMET) by Sergio Arce-García, Virginia Martin-Jiménez, Leticia Rodríguez-Fernández

“…We analysed nearly half a million messages posted between 31 December 2021 and 19 April 2023, using hate speech detection algorithms, text mining techniques, and qualitative analysis to identify patterns and themes in the discourse. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…<b>Results:</b> This study assessed the performance of dimensionality reduction and classification algorithms in distinguishing COVID-19-negative and COVID-19-positive cases using radiomics data from brain MR scans. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

“…The Louvain community detection algorithm and structural equation modeling were used to investigate community relationships and potential causal effects. …”
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Microwave-Based Colonoscopy: Preclinical Evaluation in an Ex Vivo Human Colon Model by Glòria Fernández-Esparrach, Alejandra Garrido, Roberto Sont, Walid Dghoughi, Sergi Marcoval, Miriam Cuatrecasas, Sandra López-Prades, F. Borja de Lacy, María Pellisé, Ignasi Belda, Marta Guardiola

“…Using a detection threshold of 2.79 for the dielectric property contrast, all lesions were detected without false positives or false negatives. …”
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Which factors affect anxiety in rural older adults in China? by Hui Wang, Chi Wang, Yi Li, Yuran Liu, Hongxu Yuan, Yujie Chen, Hong Ding

“…T test, ANOVA test, multiple linear regression and random forest algorithm were used for analysis.ResultsThe mean anxiety score among rural older adults was 4.23 ± 5.30, and the detection rate of anxiety was 36.40%. …”
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