Results 121 to 130 of about 1,630,954 (334)

Survivorship and Growth of Seedlings and Saplings in Urban Forests [PDF]

open access: yes, 2019
Research in 1993, 2003, and 2013 showed high rates of tree mortality and low rates of recruitment (new trees) in Portland, Oregon’s Forest Park. To determine if the lack of young trees was an urban phenomenon, we added three control sites in the Mount ...
Bassler, Austen F.   +2 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Unexpected Dual Function of Plant YUCCA Enzymes Links Chlorophyll Catabolism to Auxin Homeostasis

open access: yesAngewandte Chemie, EarlyView.
YUCCA enzymes are well known to catalyze the main step of auxin biosynthesis in plants. Here, a hitherto undescribed dual function was discovered, revealing that some YUCCAs also act in chlorophyll degradation. In vitro feedback regulation furthermore suggests a link between chlorophyll degradation and hormone homeostasis and a physiological role of ...
Sina Rütschlin   +6 more
wiley   +2 more sources

Beautifying the Farm Home [PDF]

open access: yes, 1927
Exact date of bulletin unknown.PDF pages ...
Ries, Victor H.
core  

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan   +3 more
wiley   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar   +5 more
wiley   +1 more source

STUDI NITRIFIKASI TANAH DENGAN PENAMBAHAN SERESAH ASAL HUTAN ALAMI DAN AGROFORESTRI KOPI

open access: yesJTSL (Jurnal Tanah dan Sumberdaya Lahan), 2017
Forest conversion to coffee agro forestry has decreased quality and amount of litter fall, increase decomposition rate and litter fall mineralization.
Anita Kismi Qifli   +2 more
doaj  

Mission to the Institute of Tropical and Subtropical Cash-Crops (ITSCC) in Baoshan, Yunnan Academy of Agriculture Sciences (YAAS) Yunnan, China. Evaluation of coffee production and quality research activities. 12 to 21 october 2009 [PDF]

open access: yes, 2009
This report covers a mission undertaken by the two CIRAD researchers in Yunnan, China from 12 to 21 October 2009. Its objective is to describe the current situation of coffee cultivation and research.
Fourny, Gérard, Snoeck, Didier
core  

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

open access: yesAdvanced Intelligent Systems, EarlyView.
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal   +2 more
wiley   +1 more source

ENVIRONMENTAL VARIABLES ASSOCIATED WITH INVASIVE GLOSSY BUCKTHORN (FRANGULA ALNUS MILL.) AND INDIRECT CONTROL STRATEGIES FOR FOREST MANAGERS [PDF]

open access: yes, 2016
Glossy buckthorn (Frangula alnus Mill.) is one of the most prominent non-native invasive plant species affecting New England forests. It quickly invades a forest and can create a dense understory effectively altering the species composition and dynamics
KOZIKOWSKI, JOSHUA GLIDDEN
core   +1 more source

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