Results 181 to 190 of about 396,384 (287)

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

open access: yesAdvanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng   +8 more
wiley   +1 more source

Adult Sex Ratio as a Demographic Feedback Linking Mating Systems, Parental Care, and Evolution

open access: yesAdvanced Science, EarlyView.
Breeding systems are some of the most diverse social behavior, and our team is investigation the evolutionary causes of this diversity. This review summarises our research carried out at the University of Bath. We argue that demographic components of wild populations, especially the adult sex ratio, plays a key role driving breeding system variation ...
Tamás Székely, Oscar G. Miranda
wiley   +1 more source

Devolution of forest management to local communities and its impacts on livelihoods and deforestation in Berau, Indonesia. [PDF]

open access: yesHeliyon, 2023
Rochmayanto Y   +7 more
europepmc   +1 more source

Forest management planning

open access: yes, 2007
1. Short background about Swedish forestry The forest covers 55 % of the total land area in Sweden. The forest area is 28 million ha according to FAO´s definition. According to the national definition (potential yield higher than 1 m3sk/ha and year) the area is 23 mill ha, of which 0.95 mill is formally protected from timber production, and another
openaire   +1 more source

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

open access: yesAdvanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You   +11 more
wiley   +1 more source

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