In this work, we seek to design a model that contributes to the study and resolution of a multi-objective rescheduling problem in dynamic permutation flow shop contexts.In this type Funnels of problem, where the objectives can be valued in heterogeneous units, the difficulty of achieving an optimal solution leads to finding a set of non-dominated e
Parallel processing by distinct classes of principal neurons in the olfactory cortex
Understanding how distinct neuron types in a neural circuit process and propagate information is essential for understanding what the circuit does and how it does it.The olfactory (piriform, PCx) cortex contains two main types of principal neurons, semilunar (SL) and superficial pyramidal (PYR) cells.SLs and PYRs have distinct morphologies, local c
T4SS Effector Protein Prediction with Deep Learning
Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm Tweed Skirts of host cells.The correct prediction of type IV protein effectors secreted by T4SS is important, since they are known to play a noteworthy role in various human pathogens.Studies on predicting T4SS effe
rs2682818/MiR-618 is a novel marker associated with increased risk of breast cancer in the Iranian population
The presence of single nucleotide variations in the coding region of micro-RNA (miRNA)-encoding genes plays a significant role in the expression and Youth Clothing function of these molecules in oncogenesis and cancer.The association of rs2682818 in miR-618 with increased risk of breast cancer was investigated in the Iranian population.rs2682818/mi