Results 81 to 90 of about 26,599 (293)

Computational thematics: comparing algorithms for clustering the genres of literary fiction

Humanities and Social Sciences Communications
AbstractWhat are the best methods of capturing thematic similarity between literary texts? Knowing the answer to this question would be useful for automatic clustering of book genres, or any other thematic grouping. This paper compares a variety of algorithms for unsupervised learning of thematic similarities between texts, which we call “computational
Oleg Sobchuk, Artjoms Šeļa
openaire   +3 more sources

Financial Flexibility at the Crossroads: A Bibliometric Analysis of Research Trends, Thematic Clusters, and Crisis-Driven Evolution

Purpose: This study maps the intellectual landscape and the literature evolution of financial flexibility publications. By examining thematic clusters, trends, and recent crisis-driven developments, this research emphasize the multidimensional impact of ...
Melati, Melati, Nurwulandari, Andini, Hasanudin, Hasanudin   +2 more
core   +1 more source

Application of semantic and lexical analysis to technology forecasting by trend analysis -thematic clusters in separation processes

, 2020
The development trends in a given field of research. are very important factors influencing decisions on R&D funding. The analysis of the thematic clusters of the publications allows for the identification of the structure of given field of research.
Andrzej Kraslawski, Robert Sitarz
core  

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

“I Believe All of Us Together Can Raise My Child”: Understanding the Familial Network, Social Support Strategies, and Communication Resilience of Single Black Mothers

, 2023
Thesis (Ph.D.)--University of Washington, 2023Almost a quarter of all U.S. children live in a one-parent household (23%), more than three times the national average of children from any other country worldwide (Livingston, 2018).
Wolfe, Brooke
core  

Beyond Potency: Emerging Determinants and Optimization Strategies Enhancing Therapeutic Efficacy of Adult Stem Cells

Advanced Science, EarlyView.
Adult stem cell therapy requires more than high in vitro potency. This review proposes a systems framework in which cell‐intrinsic programs, instructive microenvironmental cues, and pre‐/post‐delivery engineering are co‐designed under standardized translational rules.
Soo‐Rim Kim, Yun Jae Jung, Hwa‐Yong Lee   +2 more
wiley   +1 more source

Finding strong, common and discriminating characteristics of clusters from thematic maps

, 1996
The goal of the thesis is to discover knowledge on large spatial databases. Specifically, it discusses the problem of extracting patterns and characteristics of clusters from thematic maps. For instance, a characteristic of an expensive housing cluster
Yu, YiQing
core  

Self‐Activating Electrocatalysts for Water Splitting: Advancing Structure–Performance Understanding and Beyond

Advanced Energy Materials, EarlyView.
Self‐activating electrocatalysts offer strong potential for advanced water splitting, enabled by their dynamic compositional and structural evolution during operation. This review highlights recent advances in self‐activating OER and HER catalysts, emphasizing the driving forces and mechanisms underlying their adaptive behavior. A conceptual network of
Christean Nickel, Bahareh Feizi Mohazzab, Kiarash Torabi, David Leander Troglauer, Guillermo Corea, Shikang Han, Dandan Gao   +6 more
wiley   +1 more source

Meta-organisations and clusters in climate regimes

, 2022
The urgency of climate change has necessitated collective action to offer suitable local solutions to environmental challenges. This chapter examines the applicability of the frameworks of meta-organisations and clusters to facilitate climate action. The
Stecca Douek, Carolina, Chaudhury, Abrar
core   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source