Results 171 to 180 of about 5,185,278 (349)
A reproducible synthesis to control 3D/0D phase ratios via water‐tuned solvent–antisolvent methods is presented. Enhanced scintillation yield and ultrafast decay are achieved. Defect‐driven emission mechanisms are revealed through cathodoluminescence and radioluminescence, shedding light on the underexplored role of the 0D Cs4PbBr6 and mixed 0D/3D ...
Mario Calora +18 more
wiley +1 more source
Relationships and Path Analysis among Traits in Different Grain Corn (Zea mays L.) Varieties
In the study conducted in the Altıeylül district of Balıkesir province, ten different grain hybrid corn varieties were grown with a row spacing of seventy cm and a plant spacing of fifteen cm in the 2022 corn growing season.
Abdullah Nas +2 more
doaj +1 more source
Fermi Surface Nesting and Anomalous Hall Effect in Magnetically Frustrated Mn2PdIn
Mn2PdIn, a frustrated inverse Heusler alloy, showing electronic‐structure driven anomalous Hall effect with Weyl crossings, Fermi‐surface nesting and near‐zero magnetization ideal for low‐magnetization spintronics. Abstract Noncollinear magnets with near‐zero net magnetization and nontrivial bulk electronic topology hold significant promise for ...
Afsar Ahmed +7 more
wiley +1 more source
Spike productivity in relation to yield as criterion for emmer wheat breeding [PDF]
Landraces, which are unbred cereal species, and include in particular the tetraploid emmer wheat, have become an important focus for the activities of local or organic farmers, processors and consumers of organic products. This study is based on analyses
Capouchova, Ivana +4 more
core
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Pengaruh Pupuk N, P, K Dan Pupuk Organik Cair (Poc) Terhadap Pertumbuhan, Hasil Dan Efisiensi Produksi Tanaman Padi Gogo (Oryza Sativa L.) Di Medium Tanah Ultisol [PDF]
The research was conducted in the greenhouse of the Faculty of agriculture, University of Riau, Pekanbaru Campus Binawidya Km 12.5 From April until September 2014. Trial using completely randomized design (CRD) factorial.
Habibullah, M. (Muhammad) +2 more
core
A bespoke multilayer thin film configuration has been designed, which overcomes the material dependency of conventional isotope exchange Raman spectroscopy (IERS). This universal IERS methodology is efficient, non‐destructive and provides additional structural information and time resolution, which can be further extended to various isotopic elements ...
Zonghao Shen +7 more
wiley +1 more source
Komponen Hasil Dan Mutu Biji Beberapa Varietas Tanaman Kedelai (Glycinemax (L.) Merril) Yang Ditanam Pada Empat Waktu Aplikasi Pupuk Nitrogen [PDF]
Since grain soybean is high in protein content, nitrogen addition may be required at the time of pod development and grain filing. This research was conducted to identify the appropriate time of N application during soybean growth.
Pandiangan, D. N. (Dessy) +1 more
core
Pattern of segregation for grain weight involving bold-and slender-grained rice varieties
This article 'Pattern of segregation for grain weight involving bold-and slender-grained rice varieties' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems ...
Vivekanandan, P., Giridharan, S.
openaire +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
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 +7 more
wiley +1 more source

