DEVELOPMENT OF A HYBRID ADAPTIVE NEURO FUZZY INFERENCE SYSTEM - HARRIS HAWKS OPTIMIZER (ANFIS-HHO) MODEL TO PREDICT SOIL CATION EXCHANGE CAPACITY

Development of a Hybrid Adaptive Neuro Fuzzy Inference System - Harris Hawks Optimizer (ANFIS-HHO) Model to Predict Soil Cation Exchange Capacity

Predicting the amount of soil exchange capacity is very valuable because it is a key indicator of soil quality for nutrient storage.In this research, using a neural-fuzzy network (ANFIS), the soil exchange capacity value was predicted with the input parameters of soil properties (such as clay, sludge, sand, gypsum and organic matter).The study area

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Juxtamembrane shedding of Plasmodium falciparum AMA1 is sequence independent and essential, and helps evade invasion-inhibitory antibodies.

The malarial life cycle involves repeated rounds of intraerythrocytic replication interspersed by host cell rupture which releases merozoites that rapidly invade fresh erythrocytes.Apical membrane antigen-1 (AMA1) is a merozoite protein that plays a critical role in Drinks invasion.Antibodies against AMA1 prevent invasion and can protect against ma

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Design and Development of a Diagnostic System for a Non-Intercepting Direct Measure of the SPIDER Ion Source Beamlet Current

Stable and uniform beams with low divergence are required in particle accelerators; therefore, beyond the accelerated current, measuring the beam current spatial uniformity and stability over time is necessary to assess the beam performance, since these parameters affect the perveance and thus the beam optics.For high-power beams operating with lon

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