Results 201 to 210 of about 12,537 (310)

Beyond Average Hive Performance: Tail Risk Measurement in Italian Apiculture With Honey‐at‐Risk

open access: yesEnvironmetrics, Volume 37, Issue 5, July 2026.
ABSTRACT This paper provides a framework for measuring honey‐production risk that complements standard mean‐based analyses by explicitly targeting downside tail risk. Using hive‐weight data from a large sample of Italian hives over the period 2021–2024, downside tail risk is quantified through the Honey‐at‐Risk (HaR) metric, defined as the quantile of ...
Alessio Brini   +3 more
wiley   +1 more source

Geodesic correspondence of Riemann spaces.

open access: yesJournal of the Mathematical Society of Japan, 1956
openaire   +2 more sources

Arcs and geodesics in metric spaces [PDF]

open access: yesTransactions of the American Mathematical Society, 1945
openaire   +2 more sources

The Revo‐Evo Debate in the History and Philosophy of Science

open access: yesNatural Sciences, Volume 6, Issue 3, July 2026.
The paper juxtaposes revolutionary and evolutionary positions in epistemology in general as well as the history of science. While it deems the evolutionary arguments more persuasive, it also stresses the dependence of our assessment of change on the language we choose to describe the theories and positions under consideration.
Yemima Ben‐Menahem
wiley   +1 more source

Two Weeks of Mirror Exposure Enhances Sensorimotor Cortex Activation but not Facial Mimicry in 4‐Month‐old Infants

open access: yesDevelopmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT This study aimed to test the causal role of sensorimotor experience in the development of facial mimicry. We systematically manipulated 4‐month‐old infants’ experience with their own facial actions, and measured the effect on their sensorimotor cortex activation and facial mimicry when they observed others’ facial actions.
Chloe Richmond   +3 more
wiley   +1 more source

Developmental Change in Structure Learning Reflects a Shift From Recency‐Based to Relational Prediction

open access: yesDevelopmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Children are adept statistical learners, capable of parsing streams of structured input into meaningful units, but the cognitive processes they engage during learning may differ from those of adults. To date, however, it is unclear how learners of different ages predict upcoming experience when navigating environments with complex structure ...
Kate Nussenbaum   +4 more
wiley   +1 more source

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