Generalizability theory

Multiplex imaging platforms have enabled the identification of the spatial organization of different types of cells in complex tissue or the tumor microenvironment. Exploring the potential variations in the spatial co-occurrence or colocalization of different cell types across distinct tissue or disease classes can provide significant pathological insights, paving the way for intervention strategies. However, the existing methods in this context either rely on stringent statistical assumptions or suffer from a lack of generalizability...

To cope with real-world dynamics, an intelligent system needs to incrementally acquire, update, accumulate, and exploit knowledge throughout its lifetime. This ability, known as continual learning, provides a foundation for AI systems to develop themselves adaptively. In a general sense, continual learning is explicitly limited by catastrophic forgetting, where learning a new task usually results in a dramatic performance drop of the old tasks. Beyond this, increasingly numerous advances have emerged in recent years that largely extend the understanding and application of continual learning...

The muscle synergy is a guiding concept in motor control research that relies on the general notion of muscles ' working together ' towards task performance. However, although the synergy concept has provided valuable insights into motor coordination, muscle interactions have not been fully characterised with respect to task performance. Here, we address this research gap by proposing a novel perspective to the muscle synergy that assigns specific functional roles to muscle couplings by characterising their task-relevance...

Children all over the world learn language, yet the contexts in which they do so vary substantially. This variation needs to be systematically quantified to build robust and generalizable theories of language acquisition. We compared communicative interactions between parents and their 2-year-old children ( N = 99 families) during mealtime across five cultural settings (Brazil, Ecuador, Argentina, Germany, and Japan) and coded the amount of talk and gestures as well as their conversational embedding (interlocutors, function, and themes)...

In light of the growing adoption of green products in emerging markets, there's a need to delve deeper into the green purchase behavior GPB of millennials in this context. Using the theory of planned behavior as a foundation, this study aims to improve clarity by developing and testing a theoretical model that establishes the effect of various factors on millennials' GPB. Motivated by this need and recognizing the importance of justifying the theoretical gap, a survey was conducted with 1094 students from the School of Business at King Faisal University, and data were analyzed using SmartPLS-3...

Monte Carlo simulation studies are among the primary scientific outputs contributed by methodologists, guiding application of various statistical tools in practice. Although methodological researchers routinely extend simulation study findings through follow-up work, few studies are ever replicated. Simulation studies are susceptible to factors that can contribute to replicability failures, however. This paper sought to conduct a meta-scientific study by replicating one highly cited simulation study (Curran et al...

The present research develops a predictive model of prejudice. For nearly a century, psychology and other fields have sought to scientifically understand and describe the causes of prejudice. Numerous theories of prejudice now exist. Yet these theories are overwhelmingly defined verbally and thus lack the ability to precisely predict when and to what extent prejudice will emerge. The abundance of theory also raises the possibility of undetected overlap between constructs theorized to cause prejudice. Predictive models enable falsification and provide a way for the field to move forward...

System specific neural force fields (NFFs) have gained popularity in computational chemistry. One of the most popular datasets as a bencharmk to develop NFF models is the MD17 dataset and its subsequent extension. These datasets comprise geometries from the equilibrium region of the ground electronic state potential energy surface, sampled from direct adiabatic dynamics. However, many chemical reactions involve significant molecular geometrical deformations, for example, bond breaking. Therefore, MD17 is inadequate to represent a chemical reaction...

Impostorism and knowledge-hiding behaviors negatively impact employees and organizational performance. This study examines the association between impostor leaders and knowledge hiding (evasive hiding, playing dumb, and rationalized hiding). Attachment avoidance is discussed as a mediator between impostor leaders and knowledge-hiding. For quantitative analyses, this study collected the data from 429 individuals with two time lags by sharing the survey instrument link on different organizations' randomly selected official media pages...

BACKGROUND: Mergers of big chain retail community pharmacies can impact the competitiveness of the pharmacy workforce to negotiate better wages and work conditions. However, it is unclear whether these types of mergers are generalizable to the US pharmacy workforce. We should observe this effect when comparing annual wage trends between retail community pharmacy workers to non-retail community pharmacy workers. In the absence of this effect, annual wage trends would be similar. OBJECTIVE: To examine this theory, annual wage trends for retail pharmacy workers were compared to hospital pharmacy workers between 2012 and 2022...

Recent research suggests that T-cell receptor (TCR) sequences expanded during human immunodeficiency virus and SARS-CoV-2 infections unexpectedly mimic these viruses. The hypothesis tested here is that TCR sequences expanded in patients with type 1 diabetes mellitus (T1DM) and autoimmune myocarditis (AM) mimic the infectious triggers of these diseases. Indeed, TCR sequences mimicking coxsackieviruses, which are implicated as triggers of both diseases, are statistically significantly increased in both T1DM and AM patients...

BACKGROUND: The lack of racial and ethnic diversity in clinical trials leads to skewed findings, limited generalizability, inequitable health outcomes for people of color, and insufficient access to innovative therapies. Our objective was to compare perceptions of barriers to participation in trials for people of color and trial staff to provide tangible solutions for improving diversity among study participants. METHODS: This mixed method study utilized semi-structured interviews and surveys to evaluate barriers to participation and solutions to improve racial and ethnic diversity in clinical trials among healthcare system trial staff and community members from the same region...

Graph Contrastive Learning (GCL) is increasingly employed in graph representation learning with the primary aim of learning node/graph representations from a predefined pretext task that can generalize to various downstream tasks. Meanwhile, the transition from a specific pretext task to diverse and unpredictable downstream tasks poses a significant challenge for GCL's generalization ability. Most existing GCL approaches maximize mutual information between two views derived from the original graph, either randomly or heuristically...

We present a quantum mechanical/machine learning (ML) framework based on random forest to accurately predict the p K a s of complex organic molecules using inexpensive density functional theory (DFT) calculations. By including physics-based features from low-level DFT calculations and structural features from our connectivity-based hierarchy (CBH) fragmentation protocol, we can correct the systematic error associated with DFT. The generalizability and performance of our model are evaluated on two benchmark sets (SAMPL6 and Novartis)...

OBJECTIVE: Undergraduates frequently engage in risky drinking (i.e., drinking alcohol in ways that may result in problems). The reasoned action approach identifies injunctive norms (i.e., perceptions that others approve of risky drinking) as central in predicting engagement in risky drinking. However, research linking injunctive norms and risky drinking is equivocal, possibly because of extensive variability in the operationalization of injunctive norms across studies. This study describes the development and validation of the Perceived Approval of Risky Drinking Inventory (PARDI), designed according to best practice guidelines in questionnaire development...

PURPOSE: Using the lens of classical test theory, we examine a linkage's generalizability with respect to use in multivariable analyses, including multiple regression and structural equation modeling, rather than comparison of established subpopulations as is most common in the literature. METHODS: To aid in this evaluation, we present a structural-equation-modeling based statistical method to examine the suitability of a given linkage for use cases involving continuous and categorical variables external to the linkage itself...

With romantic love having long been studied with a focus on the romantic component and how it is expressed, little is known about what love is as a feeling in romantic relationships from the recipient's perspective. This study aimed to understand love as a feeling in romantic relationships by analyzing open-ended responses about what makes people feel loved by their romantic partner in a college sample of 462 undergraduates (age: M  = 18.93, SD = 2.86; 77.92% female) and a community sample of 75 adults (age: M  = 32...

Attachment theory proposes that close relationships help us to regulate our emotions in stressful and positive situations. However, no previous studies have examined preferences for a partner's emotional response to one's own stressful and positive situations or tested whether these preferences differ based on attachment orientation. This study examines the association of attachment orientation and preferences for partners' emotional responses relative to one's own emotional responses in stressful and positive contexts among 425 United States adults who were currently in a committed relationship of ≥6 months...

The growing field of nanoscale neural stimulators offers a potential alternative to larger scale electrodes for brain stimulation. Nanoelectrodes made of magnetoelectric nanoparticles (MENPs) can provide an alternative to invasive electrodes for brain stimulation via magnetic-to-electric signal transduction. However, the magnetoelectric effect is a complex phenomenon and challenging to probe experimentally. Consequently, quantifying the stimulation voltage provided by magnetoelectric nanoparticles (MENPs) is difficult, hindering precise regulation and control of neural stimulation and limiting their practical implementation as wireless nanoelectrodes...

Systematic reviews and meta-analyses are viewed as potent tools for generalized causal inference. These reviews are routinely used to inform decision makers about expected effects of interventions. However, the logic of generalization from research reviews to diverse policy and practice contexts is not well developed. Building on sampling theory, concerns about epistemic uncertainty, and principles of generalized causal inference, this article presents a pragmatic approach to generalizability assessment for use with systematic reviews and meta-analyses...