Results 81 to 90 of about 62,350 (309)

Rooting and acclimatization of the Japanese plum tree, cv. América

Revista Brasileira de Fruticultura, 2012
Rooting and acclimatization are limiting steps in plant micropropagation, especially in woody plant species. This study aimed to evaluate the IAA and IBA effect on the in vitro rooting and acclimatization of micropropagated shoots of Japanese plum ...
Juliana de Magalhães Bandeira, Liane Bahr Thurow, Eugenia Jacira Bolacel Braga, José Antonio Peters, Valmor João Bianchi   +4 more
doaj   +1 more source

Defect Analysis of the β– to γ–Ga2O3 Phase Transition

Advanced Functional Materials, EarlyView.
The role of defects at all the relevant stages of the β$\beta$‐ to γ$\gamma$‐Ga2O3 polymorph transition is investigated using a multi method approach. The positron annihilation spectroscopy based results show that the defect density decreases after the transition, and that changes in defect configuration within the γ phase occur with increasing ...
Umutcan Bektas, Maciej O. Liedke, Huan Liu, Fabian Ganss, Maik Butterling, Nico Klingner, René Hübner, Ilja Makkonen, Andreas Wagner, Gregor Hlawacek   +9 more
wiley   +1 more source

Shoot development in plants: time for a change

Trends in Genetics, 1995
The shoot system in plants progresses through several discrete phases during its development. Changes in the timing of these phases have important consequences for the morphogenesis of the shoot and are likely to be important in plant evolution. Genetic analysis of phase change in herbaceous plants, such as maize and Arabidopsis, has defined some of ...
E J, Lawson, R S, Poethig
openaire   +2 more sources

CO2 Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential

Advanced Functional Materials, EarlyView.
This study demonstrates that pulsed potential electrolysis significantly improves CO2 reduction performance on copper‐nitrogen doped carbon electrodes. The formation of cationic copper sites and metallic clusters as a function of applied intermittent potential leads to notable selectivity changes compared to potentiostatic reduction.
Dorottya Hursán, Janis Timoshenko, Andrea Martini, Hyo Sang Jeon, Eduardo Ortega, Martina Rüscher, Arno Bergmann, Aram Yoon, Uta Hejral, Antonia Herzog, Clara Rettenmaier, Felix T. Haase, Philipp Grosse, Beatriz Roldan Cuenya   +13 more
wiley   +1 more source

VEGETATIVE RESCUE AND CUTTINGS PROPAGATION OF Araucaria angustifolia (Bertol.) Kuntze

Revista Árvore, 2015
Brazilian pine or araucaria (Araucaria angustifolia) is a coniferous tree with great economic, social and environmental importance in southern Brazil, being exploited for both wood production and for its edible pine nuts.
Ivar Wendling, Gilvano Ebling Brondani
doaj   +1 more source

Clean‐Limit 2D Superconductivity in a Thick Exfoliated Kagome Film

Advanced Functional Materials, EarlyView.
This study reports clean‐limit 2D superconductivity in a thick kagome system, analogous to the 3D case. It observes a drop in superfluid stiffness near the superconducting transition and a cusp‐like feature in the angular dependence of the upper critical field.
Fei Sun, Andrea Capa Salinas, Stephen D. Wilson, Haijing Zhang   +3 more
wiley   +1 more source

Influence of plant habitus traits on formation of seed productivity in flax

Растениевъдни науки
The studies were carried out at the Institute of Oilseed Crops of the National Academy of Agrarian Sciences of Ukraine in 2019/2020. The material of the study was interspecific hybrids of the second generation obtained in the system of dialel crosses ...
Tatiana Tovstanovska, Viktor Lyakh
doaj   +1 more source

Communication by Plant Growth Regulators in Roots and Shoots of Horticultural Crops [PDF]

, 2007
Anish Malladi, Jacqueline K. Burns
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source