Results 191 to 200 of about 11,636 (298)

THE AGRARIAN HISTORY SOCIETY

open access: yesInformation Bulletin of The Union of National Economic Associations in Japan, 1989
openaire   +1 more source

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

open access: yesAdvanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang   +8 more
wiley   +1 more source

Modeling the rise and demise of Classic Maya cities: Climate, conflict, and economies of scale. [PDF]

open access: yesProc Natl Acad Sci U S A
McCool WC   +9 more
europepmc   +1 more source

THE AGRARIAN HISTORY SOCIETY

open access: yesInformation Bulletin of The Union of National Economic Associations in Japan, 1983
openaire   +1 more source

Breaking the Trade‐Off of Mechanical Robustness and Energy Storage Capacity in Phase Change Materials Through a Molecular Design Strategy of Hard‐Segment‐Anchored/Side‐Chain‐Storage

open access: yesAdvanced Science, EarlyView.
To decouple mechanical robustness and energy storage capacity in phase change materials (PCMs), a series of polyurethane‐based PCMs bearing crystallizable alkyl side chains are synthesized via a hard‐segment‐anchored/side‐chain‐storage molecular design.
Huizhou Luo   +6 more
wiley   +1 more source

Evolution of Methods for the Quantitative Assessment of Inbreeding in Livestock. [PDF]

open access: yesBiology (Basel)
Getmantseva L   +5 more
europepmc   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

open access: yesAdvanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang   +11 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

open access: yesAdvanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao   +4 more
wiley   +1 more source

Explaining vineyard specialization in the province of Barcelona (Spain) in the mid-19th century

open access: yes
We present a statistical model of agrarian vineyard specialization in the province of Barcelona towards 1860, that combines the Boserupian push of population increase, the demand pull of a Smithian-type of growth (measured by the time-distances to the ...
Ramon Garrabou   +4 more
core  

Home - About - Disclaimer - Privacy