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CERTAINTY/UNCERTAINTY AS GRAMMATICAL AND AS A HIDDEN FUNCTIONAL-SEMANTIC CATEGORY
Published 2019-06-01“…For the pair of languages being studied, Ukrainian (source language, non-article) and English (target language, article) were selected. …”
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462
The Training of Rhythm Skills and Executive Function: A Systematic Review
Published 2025-01-01“…The selected studies were evaluated for methodological quality using the modified Downs and Black checklist. …”
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463
Promoting Rural Revitalization via Natural Resource Value Realization in National Parks: A Case Study of Baishanzu National Park
Published 2025-01-01“…The results indicate the following: (1) By constructing a framework of “realistic background—pathway selection—model condensation—effectiveness analysis”, the mechanism of how natural resource value realization promotes rural revitalization can be analyzed, with a focus on its pathways and models. (2) The pathways for realizing natural resource value to promote rural revitalization include resource integration, investment development, capital production and operation, and the circulation and exchange of ecological products and services. …”
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464
Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions
Published 2024-10-01“…Here, we tested the assumption that this aspect of model design is a major source of uncertainty, especially when projections are made to non‐analogue climates. …”
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Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (<i>Ctenopharyngodon idella</i>)
Published 2025-06-01“…This study provides the first comprehensive SNP resource for grass carp growth traits with different dietary treatments, bridging GWAS and genomic prediction to accelerate marker-assisted selection. …”
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Neurocognitive factors of new drone Pilots: Identifying candidates with expert potential
Published 2025-08-01“…Introduction: The increasing use of drones in both military and civilian applications underscores the critical need for the proper selection and training of pilots. Identifying the neurocognitive variables that influence the performance of these pilots can optimize selection and training processes. …”
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Potential and Observed Supply–Demand Characteristics of Medical Services: A Case Study of Nighttime Visits in Shenzhen
Published 2024-10-01“…Hospital selection patterns are essential for evaluating medical accessibility and optimizing resource management. …”
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471
Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data
Published 2025-07-01“…Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. …”
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472
AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review
Published 2025-01-01“…The criteria aligned with the study objectives, ensuring a focus on AI chatbots and the impact of conversational agents on executive function. The initial collection totaled <i>n</i> = 115 articles; however, the eligibility requirements led to the final selection of <i>n</i> = 10 studies. …”
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Phage display of cDNA libraries: enrichment of cDNA expression using open reading frame selection
Published 2004-06-01“…The high level of cDNA expression obtained by ORF selection suggests that ORF-enriched phage cDNA libraries prepared by these methods will be useful as functional genomics tools for identifying natural ligands from various source tissues.…”
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A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.
Published 2011-09-01“…Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. …”
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Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment
Published 2024-10-01“…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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