A major issue of machinery fault diagnosis using vibration signals is that it is over-reliant on personnel knowledge and experience in interpreting the signal.Thus, machine learning has been adapted for machinery fault diagnosis.The quantity and quality of the input features, however, influence the fault classification performance.Feature selection
To keep pace with the rapid changes in the environment, organizations must keep pace, otherwise they are likely to perish.They have to remain flexible and continually improve to gain competitive advantage and must be able to adapt and strive to take the lead, otherwise their survival will be at stake.To meet the challenges posed by this rapidly cha
Abstract Background Tumor-associated macrophages (TAMs) are the major component of tumor-infiltrating immune cells.Macrophages are broadly categorized as M1 or M2 types, and TAMs have been shown to express an M2-like phenotype.TAMs promote tumor progression and contribute to resistance to chemotherapies.Therefore, M2-like TAMs are potential targets
The objectIves of the research were to study the effect of flooding and draining on the population and life cycle of root-knot nematode of rice (Meloidogyne graminicola).To study the effect of flooding and draining on the population of M.graminicola two experiments were done within two period of planting of rice IR 64.These experiments were arrange
Abstract Background Mast cell-derived prostaglandin D2 (PGD2), may contribute to eosinophilic inflammation and mucus production in allergic asthma.Chemoattractant receptor homologous molecule expressed on TH2 cells (CRTH2), a high affinity receptor for prostaglandin D2, mediates trafficking of TH2-cells, mast cells, and eosinophils to inflammatory