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1141
Evaluation of Geomorphological Capabilities in Kermanshah Province in Locating Sensitive and Important Centers with Passive Defense Approach
Published 2024-09-01Subjects: Get full text
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1142
Sites naturels sacrés et conservation des ressources marines et côtières en milieu traditionnel diola (Sénégal)
Published 2017-07-01Subjects: Get full text
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1143
Identification of climatic comfort areas Khuzestan province using multivariate analysis and spatial autocorrelation pattern with emphasis on architecture
Published 2023-06-01Subjects: “…keywords: climatic comfort area…”
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1144
Therapeutic Drug Monitoring of Vancomycin in Hemodialysis Patients in a Hospital in North-East Romania
Published 2025-01-01Subjects: Get full text
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1145
Ecotoxicological insight of phytochemicals, toxicological informatics, and heavy metal concentration in Tridax procumbens L. in geothermal areas
Published 2024-01-01Subjects: “…geothermal area…”
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1146
Enjeux d’hier dans les découpages territoriaux d’aujourd’hui : les Grimaldi de Monaco et le Carladez (Aveyron-Cantal)
Published 2024-03-01Subjects: Get full text
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1147
Comparison of Single and Ensemble Regression Model Workflows for Estimating Basal Area by Tree Size Class in Pine Forests of Southeastern U.S
Published 2025-01-01Subjects: Get full text
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1150
Monitoring of Technical Condition of Buildings by Seismic Method
Published 2024-12-01Get full text
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Supply chain integration-performance nexus in emerging & developing economies: a systematic review
Published 2025-12-01Get full text
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1158
Prevalence and Factors Associated with Intestinal Parasitic Infections among Pregnant Women in West Gojjam Zone, Northwest Ethiopia
Published 2020-01-01“…Intestinal parasitic infection is a major problem among pregnant women in the study area. High parasitic infection is associated with poor hygienic and sanitation practices. …”
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1159
Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform
Published 2024-01-01“…The system was trained and tested on the Hyper–Kvasir dataset, the largest publicly available GI tract image dataset, achieving an accuracy of 99.13% and an area under the curve of 0.9954. These results demonstrate a significant improvement in the accuracy and performance of GI disease classification compared to traditional methods. …”
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