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11941
UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review
Published 2025-01-01“…In contrast, deep learning-based models excel at capturing intricate relationships between spectral and spatial features, significantly boosting classification accuracy and emerging as the dominant paradigm in the field. …”
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11942
Questões de raça na luta contra a violência de gênero: processos de subalternização em torno da Lei Maria da Penha
Published 2020-12-01“…Por outro lado, busca-se evidenciar como o Judiciário funciona de modo a manter as hierarquias raciais nas questões de violência de gênero.…”
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11943
Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices
Published 2025-01-01“…A total of 509 observational data points regarding nitrate leaching in northern China were collected, capturing the spatial and temporal variations across crops such as winter wheat, maize, and greenhouse vegetables. …”
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11944
A Multi-Target Threat Assessment Method Based on Objective Three-Way Decision
Published 2025-01-01“…Given the complex interplay of factors—such as sensor accuracy and environmental conditions—that contribute unpredictably to uncertainty, this concept better captures the dynamics inherent in TA. Two case studies were conducted to evaluate the O3WD’s effectiveness in target categorization across a range of <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula> values, a parameter that controls the curvature of the risk function. …”
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11945
Extrinsic attributes that drive consumer purchase of block mozzarella
Published 2025-02-01“…Consumer segmentation identified a natural cluster (n = 243) which assigned high utility to claims such as “all natural” and “organic” while the flavor cluster (n = 194) assigned high utility to “established business for more than 75 years” and “#1 in Italy.” …”
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11946
Protocol for the implementation evaluation of an integrated paediatric and primary care model: Strengthening Care for Children (SC4C)
Published 2022-09-01“…The purpose of this manuscript is to describe the pragmatic methods that will be used to capture implementation evaluation process and outcome data within this trial.Methods and analysis Our implementation evaluation will use a mixed methods design, with data collected in the intervention arm of the SC4C trial guided by a logic model developed using the Consolidated Framework for Implementation Research (CFIR) and Proctor and colleague’s taxonomy of implementation outcomes. …”
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11947
Biochemical Characterization of Partially Stabilized Parthenium hysterophorus L. and Cow Dung Consortium and Its Effect on the Growth Performance of Maize (Zea mays L.)
Published 2022-01-01“…Parthenium (Parthenium hysterophorus L.) is a major anxious weed found in pastures, wastelands, and agricultural lands. It usually competes very well and reduces crop yield. …”
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11948
High quality genome assembly of the brown hare (Lepus europaeus) with chromosome-level scaffolding
Published 2024-03-01“…The genome was assembled using 25X PacBio HiFi sequencing data and scaffolded utilizing a Hi-C chromosome structure capture approach. After manual curation, the assembled genome length was 2,930,972,003 bp with N50 scaffold of 125.8 Mb. 93.16% of the assembly could be assigned to 25 identified chromosomes (23 autosomes plus X and Y), matching the published karyotype. …”
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11949
Evaluating the representativeness of the bentgrass (Agrostis L.) gene pool collected across the Russian Federation and neighboring countries in the VIR collection
Published 2020-06-01“…Various species of bentgrass (Agrostis L.) are an important component of natural pastures. They are used to prepare forage grass mixtures or set up lawns; there are released cultivars. …”
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11950
OMSF2: optimizing multi-scale feature fusion learning for pneumoconiosis staging diagnosis through data specificity augmentation
Published 2024-12-01“…To address these issues, we propose an Optimized Multi-Scale Feature Fusion learning framework, OMSF2, which includes the following components: (1) Data specificity augmentation module is introduced to capture intrinsic data representations and introduce diversity by learning morphological variations and lesion locations. (2) Multi-scale feature learning module is utilized that refines micro-feature localization guided by heatmaps, enabling full extraction of multi-directional features of subtle diffuse targets. (3) Multi-scale feature fusion module is employed that facilitates the fusion of high-level and low-level features to better understand subtle differences between disease stages. …”
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11951
Advancement of Pt and Pd-based catalysis for green, sustainable energy and bio-medical applications
Published 2025-01-01“…The electrochemical reduction of carbon dioxide is also explored, highlighting the selectivity and efficiency of Pt and Pd systems, addressing both carbon capture and the generation of valuable chemicals. …”
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11952
Characteristics That Predict Psoriatic Arthritis by the Classification Criteria for Psoriatic Arthritis in Patients With Juvenile Idiopathic Arthritis 18 Years After Disease Onset
Published 2025-01-01“…Conclusion CASPAR criteria identify more patients with PsA compared with ILAR criteria and may better capture the heterogeneous nature of the disease. Presence of psoriasis and dactylitis at disease onset were the strongest predictors for the development of PsA. …”
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11953
3D Point Cloud from Millimeter-wave Radar for Human Action Recognition: Dataset and Method
Published 2025-02-01“…To overcome these issues, we present a 3D point cloud dataset tailored for human actions captured using millimeter-wave radar (mmWave-3DPCHM-1.0). …”
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11954
Colorimetric aptasensor coupled with a deep-learning-powered smartphone app for programmed death ligand-1 expressing extracellular vesicles
Published 2025-01-01“…Our approach is the development of a colorimetric aptasensor by combining the rapid capturing efficiency of (Fe3O4)-SiO2-TiO2 for EV isolation with PD-L1 aptamer-triggered enzyme-linked hybridization chain reaction (HCR) for signal amplification. …”
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11955
Lower grass stomatal conductance under elevated CO2 can decrease transpiration and evapotranspiration rates despite carbon fertilization
Published 2024-10-01“…Reductions in ET from ryegrass‐dominated grasslands and pastures could increase soil moisture and groundwater recharge, potentially leading to increased surface runoff and flooding.…”
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11956
Assessing Genetic Diversity and Population Structure of Western Honey Bees in the Czech Republic Using 22 Microsatellite Loci
Published 2025-01-01“…The samples were obtained from hives (<i>n</i> = 3647) and through the process of capture on flowers (<i>n</i> = 553). Genetic diversity parameters were assessed for both populations in all 77 districts. …”
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11957
MSF-GhostNet: Computationally Efficient YOLO for Detecting Drones in Low-Light Conditions
Published 2025-01-01“…In addition, the speed of UAVs also adds to the difficulty of capturing their clear images, which can lead to blurring, particularly in complex backgrounds. …”
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11958
Urea coated with cellulose acetate-lignin composite presents lower loss by ammonia volatilization
Published 2024-12-01“…Ammonia volatilization was evaluated in a static capture system (24 h), with 2% boric acid, followed by titration with sulfuric acid (0.005 mol/L). …”
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11959
Identification of heterogeneous constitutive model of laser additive manufactured materials based on nano-indentation test and orthogonal metal cutting
Published 2025-01-01“…The findings demonstrate that these constitutive model accurately capture the heterogeneous nature of AM-ed materials and effectively characterizes their dynamic mechanical behavior under conditions of large strain (up to 5), high strain rate (up to 105 s−1), and high temperature (up to 850 °C). …”
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11960
Vehicle Turn Pattern Counting and Short Term Forecasting Using Deep Learning for Urban Traffic Management System
Published 2025-01-01“…Building on this, we designed a custom vehicle counting algorithm that integrated the BoT-SORT tracker with dynamic counting boxes, accurately capturing vehicle movements and turn patterns in real-time and this integrated approach attained a best deviation of 20.79%. for turn pattern counting and 28.41% for forecasting. …”
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