Results 211 to 220 of about 635,362 (294)

A Meta-analysis based Hierarchical Variance Model for Powering One and Two-sample <i>t</i>-tests. [PDF]

Stat Biopharm Res
Barth J, Li RC, Wang X.
europepmc   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Increasing power for detecting awareness: a new approach to test group level objective performance. [PDF]

Neurosci Conscious
Lublinsky S, Yaron I, Marshall W, Mudrik L.   +3 more
europepmc   +1 more source

Unleashing the value of a “scientific approach” to entrepreneurship: Building an empirical research agenda

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary In this manuscript, we argue that the Entrepreneurs‐as‐Scientists (E‐a‐S) research program requires a fundamental shift from predominantly conceptual development toward an empirical agenda to achieve its normative goal: developing a scalable algorithm that improves entrepreneurial learning and value creation.
Arnaldo Camuffo, Alfonso Gambardella, Thomaz Teodorovicz   +2 more
wiley   +1 more source

Artificial Intelligence-Driven MRI for Cervical Nodal Metastasis Detection in Oral Squamous Cell Carcinoma: A Hierarchical Meta-Analysis of Diagnostic Accuracy. [PDF]

Head Neck
da Silva-Filho JE, Ribeiro RR, de Aguiar AWO, Silva CM, de Melo DP, Pereira KMA, de Albuquerque DF, Costa FWG, Gurgel-Filho ED.   +8 more
europepmc   +1 more source

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source

Are Semantic Representations Stable? A Bayesian Framework Applied to the Study of Quantifier Meaning. [PDF]

Comput Brain Behav
Sarafoglou A, Giacobello ASF, Godmann HR, Johnson T, Visser I, Haaf JM, Szymanik J.   +6 more
europepmc   +1 more source

Empirical hierarchical bayes approach to gene-environment interactions: development and application to genome-wide association studies of lung cancer in TRICL. [PDF]

Genet Epidemiol, 2013
Sohns M, Viktorova E, Amos CI, Brennan P, Fehringer G, Gaborieau V, Han Y, Heinrich J, Chang-Claude J, Hung RJ, Müller-Nurasyid M, Risch A, Thomas D, Bickeböller H.   +13 more
europepmc   +1 more source

Designing Butterfly‐Inspired Architecture in Self‐Assembled Hybrid Composites for Synergistic Structural Thermal Management

Small, EarlyView.
Pioneering a butterfly‐inspired design strategy, this work engineers hybrid composites with hierarchical fibrous architectures to achieve synergistic performance. By translating biological principles into scalable composite architectures, it introduces a novel pathway to lightweight, multifunctional, and cost‐effective materials.
Nello D. Sansone, Rafaela Aguiar, Nichole Cheung, Anthony V. Tuccitto, Zirui Huang, Matthew Leroux, Patrick C. Lee   +6 more
wiley   +1 more source

Predicting emotional valence in autism: a preregistered study in the Bayesian Brain framework. [PDF]

Mol Autism
Plank IS, Pior A, Yurova A, Nowak J, Shi Z, Falter-Wagner CM.   +5 more
europepmc   +1 more source