Multidimensional Development
Multidimensional Development - Related Videos
06:17
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
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2025
Accurate analysis of multidimensional microscopy data requires complex workflows. This article demonstrates how to use the software Cell-ACDC. It leverages state-of-the-art AI-driven models for segmentation, tracking, cell pedigree analysis, and quantification of microscopy data. Crucially, it complements these models with an innovative framework for semi-automated correction of the models' output.
07:53
Multidimensional Coculture System to Model Lung Squamous Carcinoma Progression
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Cited by 8 •
2020
An in vitro model system was developed to capture tissue architectural changes during lung squamous carcinoma (LUSC) progression in a 3-dimensional (3D) co-culture with cancer-associated fibroblasts (CAFs). This organoid system provides a unique platform to investigate the roles of diverse tumor cell-intrinsic and extrinsic changes that modulate the tumor phenotype.
07:12
Clinical Efficacy of an Innovative Multidimensional Traction Therapy in Moderate Adolescent Idiopathic Scoliosis
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2026
This protocol reports a randomized clinical trial that uses the major-curve Cobb angle as the primary structural outcome to evaluate the efficacy of multidimensional traction combined with bracing and mirror-corrective exercises in moderate adolescent idiopathic scoliosis.
08:22
Nitrogen Compound Characterization in Fuels by Multidimensional Gas Chromatography
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Cited by 2 •
2020
Here, we present a method utilizing two-dimensional gas chromatography and nitrogen chemiluminescence detection (GCxGC-NCD) to extensively characterize the different classes of nitrogen-containing compounds in diesel and jet fuels.
09:43
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Cited by 5 •
2019
Many researchers generate "medium-sized", low-velocity, and multi-dimensional data, which can be managed more efficiently with databases rather than spreadsheets. Here we provide a conceptual overview of databases including visualizing multi-dimensional data, linking tables in relational database structures, mapping semi-automated data pipelines, and using the database to elucidate data meaning.
FAQs
Changes in one domain can alter the conditions for change in another. For example, biological maturation may affect abilities or behavior, while learning and relationships can shape cognitive, emotional, or social development. The framework therefore treats development as interconnected rather than isolating each domain, helping psychologists examine how combined influences relate to identity and well-being.
Development is not assumed to move uniformly toward improvement. An individual may show gains in one area while facing difficulties in another, or experience changing outcomes as circumstances and experiences shift. Recognizing this pattern prevents overly simple judgments and allows psychological research to describe development with greater attention to variation, context, and well-being.
Biological maturation, learning, relationships, environmental conditions, and personal experiences all provide relevant explanations for developmental change. Their importance may differ across individuals and periods of life, so psychologists should avoid attributing an outcome to a single cause without considering the surrounding context. This broader analysis helps connect observed changes in abilities, identity, behavior, and well-being.
A single-pathway view can imply that people develop in one consistent direction or according to one standard sequence. A multidimensional approach instead accommodates individual variation and recognizes that physical, cognitive, emotional, social, and cultural changes may not occur at the same pace. This makes it better suited to describing diverse developmental patterns across the lifespan.
Psychologists can examine several developmental domains together, then consider how biological maturation, learning, relationships, environmental conditions, and personal experiences may be connected. Assessment can include abilities, identity, behavior, and well-being rather than focusing on a single outcome. This approach helps identify both strengths and challenges while preserving attention to individual and contextual differences.
It encourages interventions that address more than one relevant influence on development. Rather than treating a difficulty as isolated, practitioners can consider relationships, learning, environmental conditions, personal experiences, and related changes in other domains. Such a comprehensive perspective supports responses that are better matched to individual variation and may address both developmental strengths and challenges.
Developmental change can be examined across the lifespan, allowing researchers to follow how abilities, identity, behavior, and well-being emerge and change over time. A lifespan perspective also accommodates interactions among maturation, experience, relationships, and context. It therefore avoids limiting psychological development to one period or assuming that change ends after a particular stage.
Culture is one of the dimensions through which development can be understood, and it also forms part of the context surrounding individual experience. Considering culture alongside physical, cognitive, emotional, and social changes helps psychologists interpret identity, behavior, and well-being without ignoring contextual influences. This is especially relevant when describing variation among individuals across different environments.