Results 121 to 130 of about 383,443 (287)
Multilevel model analysis using R [PDF]
The complex datasets cannot be analyzed using only simple regressions. Multilevel models (also known as hierarchical linear models, nested models, mixed models, random coefficient, random-effects models, random parameter models or split-plot designs) are
Nicolae-Marius JULA
doaj
Hierarchical models of very large problems, dilemmas, prospects, and an agenda for the future [PDF]
Interdisciplinary approaches to the modeling of global problems are discussed in terms of multilevel cooperation. A multilevel regionalized model of the Lake Erie Basin is analyzed along with a multilevel regionalized world modeling project. Other topics
Richardson, J. M., Jr.
core +1 more source
This study identifies S100A14 in tumor‐derived exosomes as a key driver of brain metastasis. S100A14 targets PIAS3 in astrocytes, activating STAT3 signaling and promoting immunosuppressive MDSCs recruitment via chemokine secretion. Germacrone, a natural compound, binds S100A14 to disrupt this axis, effectively inhibiting brain metastasis with low ...
Qian Feng +13 more
wiley +1 more source
The Circular Economy (CE) concept continues to garner significant attention from stakeholders. Yet, what a CE entails in its realized state remains insufficiently articulated, particularly for product users.
Sahra Svensson-Hoglund +11 more
doaj +1 more source
This paper illustrates the impact of ignoring survey design and hierarchical structure of survey data when fitting regression models. Data on child nutritional status from Ghana, Malawi, Tanzania, Zambia, and Zimbabwe are analysed using four techniques ...
Holmes, David +3 more
core
To address adhesion failure in sweaty epidermal electronics, this study proposes a cross‐species, multi‐scale biomimetic interface. By modeling staged wet adhesion, it integrates self‐regulating liquid bridges with directional drainage. This design ensures stable, high‐performance flexible sensing in complex physiological environments, offering a ...
Jieliang Zhao +12 more
wiley +1 more source
Estimating and explaining efficiency in a multilevel setting: A robust two-stage approach [PDF]
Various applications require multilevel settings (e.g., for estimating fixed and random effects). However, due to the curse of dimensionality, the literature on non-parametric efficiency analysis did not yet explore the estimation of performance drivers ...
De Witte, K., Verschelde, M.
core
Biolipid Film‐Fused Electrochemiluminescence for Multipurpose In Situ Bioassays
An ECL‐emissive, membrane‐interactive scaffold was fabricated, and facilely fused with natural and non‐native phospholipids into multifactorial mimicries of cytomembranes and vesicles for in vitro representative membrane‐process probing. Such a biointerface‐based, state‐sensitive ECL paradigm not only pinpointed proximal phenomena, including channeling
Jialiang Chen +9 more
wiley +1 more source
The specification of the propensity score in multilevel observational studies [PDF]
Propensity Score Matching (PSM) has become a popular approach to estimation of causal effects. It relies on the assumption that selection into a treatment can be explained purely in terms of observable characteristics (the “unconfoundedness assumption ...
Arpino, Bruno, Mealli, Fabrizia
core +1 more source
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source

