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Introducing the pictogram-based ocular motor and visual-perceptual symptom scale: a multinational, cross-cultural feasibility study
Published 2025-07-01“…Non-specialists achieved a mean score of 7.9 (SD = 2.3; 95% CI: 7.3–8.5) in accurately matching pictograms to simple English descriptions. …”
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Impacto del alargamiento de miembros inferiores con clavos telescópicos en la funcionalidad y calidad de vida de pacientes con acondroplasia
Published 2025-07-01“…Complications (Clavien-Dindo-Sink classification) and patient satisfaction were also recorded. …”
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[Translated article] Impact of lower limb lengthening with telescopic nails on functionality and quality of life in patients with achondroplasia
Published 2025-07-01“…Complications (Clavien–Dindo–Sink classification) and patient satisfaction were also recorded. …”
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Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort
Published 2025-03-01“…The models developed gave 72.1% and 83.8% correct classification of flare and PAD, respectively, in the validation cohort. …”
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Revascularization in Diabetic Patients With Non–ST-Elevation Acute Myocardial Infarction
Published 2025-06-01“…Patients with diabetes mellitus and NSTEMI were identified using the International Classification of Diseases, Tenth Revision, diagnosis code. …”
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Ecotoxicological assessment of the application of chemical products of plant protection against pests
Published 2022-09-01“…The most common in Ukraine are preparations based on active agent chlorpyrifos (743.0 thousand kg/ year), active agent dimethoate (95 thousand kg/ year) and active agent lambda-cyhalothrin (80.2 thousand kg/ year), which are stable in soil and according to the indicator of acute oral toxicity are classified as hazard classes 2 and 3. The most common acaricides against ticks are those based on active agent clofentezine and pyridaben (3.01 and 3.08 thousand kg/ year, respectively). …”
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Chandra Discovery of a Candidate Hyperluminous X-Ray Source in MCG+11-11-032
Published 2025-01-01“…Further analysis shows evidence for a compact hard source—MCG+11-11-032 X2—located 3 $\mathop{.}\limits^{\unicode{x02033}}$ 3 from the primary AGN. …”
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Diagnostic value of the saliva immunoglobulin free light chains concentrations measured in primary Sjцgren's syndrome
Published 2023-02-01“…PSS was diagnosed according to the 2016 ACR/EULAR classification criteria. The control group consisted of 11 healthy volunteers. …”
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The attention of students during physical education class based on academic performance (La atención de los estudiantes durante la clase de educación física basada en el rendimien...
Published 2020-07-01“…The study involved 156 students from the 3th cycle of basic education, aged between 12 and 16 years old ( 16vó"> = 14,7 ± 1,3) evaluated in four different sports taught in the discipline of physical education (athletics, gymnastics, basketball and football), and in four moments of the class. …”
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Значение экспрессии белка PD-L1 в комбинированной прогностической модели диффузной В-крупноклеточной лимфомы...
Published 2021-07-01“…Медиана возраста составила 59 лет (1–3-й квартиль 29–83 года). Каждый пациент получил не менее 2–6 курсов иммунохимиотерапии R-СHOP. …”
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Understanding the flowering process of litchi through machine learning predictive models
Published 2025-05-01“…[Results] The residual error of the model were 3.6-3.7 days, and the correlation coefficient were 0.97, so the models had high reliability; The model was further verified with blind test data set of two-year's phenological ecological characteristics, and the correlation coefficient was between 0.98-0.99. …”
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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices
Published 2025-02-01“…This study adopts a hierarchical method of three layers based on double quantum‐inspired grey wolf optimisation (QGWO) to improve the LSTM model (HD‐QGWO‐LSTM) for a one‐step LMPF. …”
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Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation
Published 2025-04-01“…Although Deep Learning (DL) models offer strong performance in tumor detection and segmentation using MRI, their black-box nature hinders clinical adoption due to a lack of interpretability.MethodsWe present a hybrid AI framework that integrates a 3D U-Net Convolutional Neural Network for MRI-based tumor segmentation with radiomic feature extraction. …”
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