Osteosarcoma was the most frequent type of malignant primary bone tumor with a poor survival rate mainly occurring in children and adolescents.For precision treatment, an accurate individualized prognosis for Osteosarcoma patients is highly desired.In recent years, Diet many machine learning-based approaches have been used to predict distant metast
Spinal Anaesthesia (SA) with hyperbaric bupivacaine and opioids is a preferred technique for lower limb surgeries Hypertherm Plasma Consumable in many centres.Among the various complications of such anaesthesia, postprocedural voice loss is relatively uncommon and has been reported very rarely in cases other than parturient patients.The sudden onse
A novel evolutionary approach is proposed for effective intrusion detection based on benchmark datasets.The proposed approach can generate a pool of noninferior individual solutions and ensemble solutions Masalas thereof.The generated ensembles can be used to detect the intrusions accurately.For intrusion detection problem, the proposed approach co
Abstract Background In low- and middle-income countries, the paucity of conventional health services means that many people with mental health problems rely on traditional health practitioners (THPs).This paper examines the possibility of forging partnerships at the Primary Health Care (PHC) level in two geopolitical regions of Ghana, to maximize t
Robust coordination and organization in large ensembles of nonlinear oscillatory units play a vital role in a wide range of natural and engineered system.The control of self-organizing network-coupled systems has recently seen significant attention, but largely in the context of modifying or augmenting existing structures.This leaves a gap in our u