Sustainable Development, EarlyView.ABSTRACT Sustainability represents a complex issue in which scientific knowledge inevitably coexists with the subjective perception of humans in its turn influenced by civilization, cultural but also unconscious aspects. These results emerge with evidence from a critical analysis of the main definitions of sustainability delivered by credited entities (
Francesco Di Maria, Hamid Safarzadeh
wiley +1 more source
Strategic Entrepreneurship Journal, EarlyView.Abstract Research summary Entrepreneurship unfolds under uncertainty, which complicates entrepreneurs' efforts to align idea, action, and environment to reach product–market fit. To illuminate how entrepreneurs perform such alignment, we complement the theory‐based view and its focus on cognitive uncertainty with a discussion of behavioral uncertainty.
Thomas Zellweger, Djordje Djokovic
wiley +1 more source
The fuzzy Kullback-Leibler divergence for estimating parameters of the probability distribution in fuzzy data: an application to classifying Vietnamese Herb Leaves. [PDF]
Sci Rep, 2023 Le H, Sang VNT, Lam Thuy LN, Bao PT.
europepmc +1 more source
Small, EarlyView.During host recognition, the fibers of T7 bacteriophages transition from a capsid bound state to an extended conformation, which requires some level of fiber flexibility. By using high‐speed atomic force microscopy, we show that the fibers have an internal molecular hinge and a torsionally compliant coiled‐coil region.
Luca Elizabet Kosik +16 more
wiley +1 more source
Affine Calculus for Constrained Minima of the Kullback–Leibler Divergence
StatsThe non-parametric version of Amari’s dually affine Information Geometry provides a practical calculus to perform computations of interest in statistical machine learning.
Giovanni Pistone
doaj +1 more source
PowerGPT‐R1: Vision‐Language Reinforcement Fine‐Tuning With Verifiable Reward for Power Inspection
High Voltage, EarlyView.ABSTRACT Vision‐driven intelligent power inspection systems have long faced the challenge of scarce high‐quality datasets in specialised domains, leading to limited performance of traditional deep learning methods (e.g., Faster‐RCNN) in few‐shot learning scenarios. Recent breakthroughs in language models, particularly the open‐source DeepSeek‐R1 model,
Yangyang Zhong +12 more
wiley +1 more source
Correction : Random-forest model for drug-target interaction prediction via Kullback-Leibler divergence. [PDF]
J Cheminform, 2022 Ahn S, Lee SE, Kim MH.
europepmc +1 more source
Deep blueprint: A literature review and guide to automated image classification for ecologists
Journal of Animal Ecology, EarlyView.A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game +2 more
wiley +1 more source
Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback-Leibler Divergence with a Gaussian Mixture Model. [PDF]
Sensors (Basel), 2023 Huang YC, Hou CC.
europepmc +1 more source
Demand Estimation with Text and Image Data
The RAND Journal of Economics, EarlyView.ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani +2 more
wiley +1 more source