نتایج جستجو برای: qpm
تعداد نتایج: 294 فیلتر نتایج به سال:
a r t i c l e i n f o We present detailed description of so-called phase-reversed structures that are characterized by two grating wave vectors allowing simultaneously phase-match two parametric three-wave processes. The novelty is that the structure is realized as a definite assembly of nonlinear segments leading to detailed description of cascaded three-photon processes with the parameters of...
Quality protein maize (QPM) based composite flour for nutritionally vulnerable groups was developed using QPM, soybean and orange fleshed sweet potatoes (Caceapedo variety). Single flours of QPM was prepared by soaking the grains into cold water at ambient temperature for 24 hours, drained and then milled into flour using a conventional milling machine. Soybean flour was prepared by roasting th...
Maize (Zea mays L.) is the most important cereal crop on which many smallholder farmers in sub-Sahara Africa (SSA) depend as a sole source of calories, proteins, and vitamins. However, conventional maize deficient two essential amino acids, lysine, tryptophan. Thereafter, Quality Protein (QPM) developed to combat protein malnutrition. In SSA low soil nitrogen also limiting factor production pro...
Abstract. We present recent investigations on dipole and quadrupole excitations in spherical skin nuclei, particular exploring their connection to the thickness of the neutron skin. Our theoretical method relies on density functional theory, which provides us with a proper link between nuclear many-body theory of the nuclear ground state and its phenomenological description. For the calculation...
In the setting of possibility theory, a tool named ‘fuzzy pattern matching’ (FPM) has been proposed in the eighties, and then successfully used in flexible querying of fuzzy databases and in classification. Given a pattern representing a request expressed in terms of fuzzy sets, and a database containing imprecise or fuzzy attribute values, the FPM returns two matching degrees. Namely, for each...
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