Natural Antisense Transcripts in Plants: A Review and Identification in Soybean Infected with Phakopsora pachyrhizi SuperSAGE Library by Suzana de Aragão Britto-Kido, José Ribamar Costa Ferreira Neto, Valesca Pandolfi, Francismar Corrêa Marcelino-Guimarães, Alexandre Lima Nepomuceno, Ricardo Vilela Abdelnoor, Ana Maria Benko-Iseppon, Ederson Akio Kido

“…Results showed that around 1/3 of the 77,903 predicted trans-NATs (by PlantsNATsDB database) detected had unitags mapped in both sequences of each pair. …”
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Patients with Papillary Renal Cancer and Germline Duplication of <i>MET</i> Exons 5-21 by Dmitry S. Mikhaylenko, Natalya B. Kuryakova, Fatima M. Bostanova, Viktoria V. Zabnenkova, Oksana P. Ryzhkova, Ilya V. Volodin, Dmitry V. Zaletaev, Dmitry V. Pustoshilov, Sergey I. Kutsev, Vladimir V. Strelnikov

“…Perhaps, further segregation analysis and functional studies will allow us to more accurately resolve the pathogenicity and diagnostic significance of this germline CNV.…”
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Research on Identification Method of Transformer Windings’ Loose Vibration Spectrum Considering a Multi-Load Current Condition by Jin Fang, Xudong Deng, Yuancan Xia, Chen Wu, Yuehua Li, Xin Li, Kaixin Chen, Fan Wang, Zhanlong Zhang

“…This new model effectively addresses overfitting and offers strong technical support for detecting different transformer winding looseness faults.…”
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L-type (Loaf) Cervical Secretion Crystallization Directionality Biomarker Study by José María Murcia Lora, María Luisa Esparza Encina, Cristina Reig, Oscar Martínez Martínez, Jennifer Simoni, María Ángeles Martínez Calvo, Juan Luis Alcázar

“…We therefore propose this feature detection mechanism as a novel biomarker of fertility.…”
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Decoding Agricultural Drought Resilience: A Triple-Validated Random Forest Framework Integrating Multi-Source Remote Sensing for High-Resolution Monitoring in the North China Plain by Xianyong Meng, Song Zhang, Guoqing Wang, Jianli Ding, Chengbin Chu, Jianyun Zhang, Hao Wang

“…Particularly, it achieves 87% accuracy in mild drought (−1.0 < SPEI ≤ −0.5) and 85% in moderate drought (−1.5 < SPEI ≤ −1.0) detection. The 20-year (2000–2019) spatiotemporal analysis reveals that moderate drought events dominated the region (23.7% of total occurrences), with significant intensification during the 2010–2012 and 2014–2016 periods. …”
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Untargeted Lipidomic Biomarkers for Liver Cancer Diagnosis: A Tree-Based Machine Learning Model Enhanced by Explainable Artificial Intelligence by Cemil Colak, Fatma Hilal Yagin, Abdulmohsen Algarni, Ali Algarni, Fahaid Al-Hashem, Luca Paolo Ardigò

“…Serum samples underwent untargeted lipidomic analysis with LC-QTOF-MS. Lipidomic data underwent univariate and multivariate analyses, including fold change (FC), <i>t</i>-tests, PLS-DA, and Elastic Network feature selection, to identify significant biomarker candidate lipids. …”
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Construction of a risk prediction model for postoperative deep vein thrombosis in colorectal cancer patients based on machine learning algorithms by Xin Liu, Xingming Shu, Yejiang Zhou, Yifan Jiang

“…The XGBoost model demonstrated strong potential for improving early detection and treatment in clinical settings.…”
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The Effects of Smoking and Airway Restriction on Subclinical Atherosclerosis by Yeşildağ M, Keskin Z, Yavşan DM, Bekci TT, Osmanoglu UO

“…The factors associated with CIMT were FEV₁/FVC ratio (Exp B 0.0952, p=0.003), age (Exp B 1.082, p< 0.001), and cigarette pack-years (Exp B 1.030, p=0.020). In feature importance analysis, the most influential factor on CIMT was the FEV₁/FVC ratio (0.54) indicating COPD, followed by age (0.33) and cigarette pack-years (0.13).Conclusion: Among the factors influencing CIMT, the impact of a decreased FEV₁/FVC ratio was found to be the highest. …”
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Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set by Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li

“…To enhance the interpretability of the deep learning model, SHAP analysis was employed to assess feature importance and provide insights into the key drivers of retinopathy prediction.ConclusionDeep learning models can accurately predict retinopathy in diabetic patients. …”
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Comparison of Preoperative Imaging and FNAB Results with Postoperative Pathology Results in Patients Undergoing AUS/FLUS by Ferhat Demir, Oğuz Hançerlioğulları, Burak Uçaner, Mehmet Zeki Buldanlı, Murat Özkara

“…Objective: Thyroid nodules are observed in 3-7% of the general population, of which 4-8% are detected by palpation and 10-41% by thyroid ultrasonography (USG). …”
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Cardiomyopathy with Restrictive-Hypertrophic Phenotype and Initial Morphological Diagnosis “Amyloidosis” as a Manifestation of Danon Disease in a Woman by O. V. Blagova, E. A. Kogan, V. P. Sedov, Yu. A. Lutokhina, A. V. Nedostup, A. V. Ott, L. M. Dashinemaeva, E. V. Zaklyazminskaya

“…To analyze the difficulties of diagnosis and the clinical features of the Danon disease in women.Results. An observation of Danon disease in a woman aged 18 years with an uncomplicated family history is presented. …”
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Klasifikasi Sinyal Phonocardiogram Menggunakan Short Time Fourier Transform dan Convolutional Neural Network by Muhammad Alwi Adnan Amal, Dodi Zulherman, Rahmat Widadi

“…Phonocardiogram (PCG) and electrocardiogram (ECG) are commonly used to detect heart disease. The use of PCG signals provides better predictive results in the detection of heart disease when compared to ECG. …”
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Diagnostic Performance of Magnetic Resonance Sequences in Staging Lymph Node Involvement and Extranodal Extension in Head and Neck Squamous Cell Carcinoma by Giovanni Lorusso, Nicola Maggialetti, Francesca Laugello, Annalisa Garofalo, Ilaria Villanova, Sara Greco, Chiara Morelli, Pasquale Pignataro, Nicola Maria Lucarelli, Amato Antonio Stabile Ianora

“…Lymph node MRI features were evaluated on five different MRI sequences. …”
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Phenotypic diversity of cactus pear (O. ficus-indica (L.) Mill.) populations in Tigray, northern Ethiopia, based on qualitative traits by Gebremedhin Welu Teklu, Kiros-Meles Ayimut, Fetien Abay Abera, Yemane G.Egziabher, Ibrahim Fitiwi

“…Principal component analysis (PC) was also performed to analyse the qualitative characteristics. …”
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Myelodysplastic/myeloproliferative neoplasm with t(2;11)(p21;q23)del(5) (q22;q33) but without mixed-lineage leukemia (MLL) rearrangement by Čolović Nataša, Denčić-Fekete Marija, Stamatović Dragana, Leković Danijela, Gotić Mirjana

“…Fluorescence in situ hybridization analysis did not detect mixed-lineage leukemia (MLL) rearrangement, which can be found in other hematologic malignancies with this translocation. …”
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…By proposing a five-step methodology—ranging from relational data collection to cross-domain analysis with XML—the paper offers a hypothetical framework for potentially identifying criticality-related features in these fields and transferring insights across disciplines. …”
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Tumors of salivary glands: an institutional study by Mahaboob Chan Kanala, Chaturya Kalanidhi P, Vishali Vaddadi, Sravani Muchalapuri, Fatima Rasheed, Shruthi Balagouni, Sumanjali Chari

“…Immunohistochemical analysis demonstrated p63 positivity in PA, BCA, ACC, and SCC. …”
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METHODICAL GUIDELINES FOR DIAGNOSTICS, TREATMENT AND PREVENTION OF CANINE BABESIOSIS IN THE CENTRAL AREA OF THE RUSSIAN FEDERATION by M. D. Novak, O. U. Nikulina, S. V. Engashev

“…Statistical analysis of veterinary reports from regional veterinary stations of theRyazan region. …”
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Somatotypological Characteristics of Patients with Rheumatoid Arthritis: Dependence on the Age of the Patient, Age, when the Disease began and its Duration by Styhar M., Stanislavchuk M.

“…The study involved 54 patients with RA in which the somatotypological features were estimated together with their dependence on the age at the time of examination, age, when the rheumatoid arthritis appeared and the disease duration. …”
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Influenza vaccination and cytokine profile dynamics in young men in Primorsky krai by Yu. A. Li, M. N. Dmitrachenko, M. P. Kostinov, E. V. Markelova, I. V. Korolev, S. L. Saprykin

“…Statistical processing of the obtained results was carried out using the STATISTICA 10 software package.Results: In the analysis of cytokines before vaccination, an increase in IL8, IL17 and IL6 levels was detected in 100% of cases – in 76% of cases. …”
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