Uranium mining in general is associated with malignant tumours of the respiratory tract 1,2. Nevertheless, other causes of occupational neoplasms must be considered.
In the face of soaring crime rates, South Africa has seen the growth of vigilante groups that seek to mete out summary justice. Punishment, described as`African medicine', often involves beating of the suspect with a whip (or sjambok). Victims of sjambokking have characteristic patterns of injury. CASE HISTORIES Case 1 A man of 32 was surrounded by a mob and beaten with a sjambok, punched and kicked for several hours. Most of his body surface was covered with sjambok marks, contusions and lacerations (Figure 1). A urinary catheter was inserted and rose Â-coloured urine was obtained, which tested positive for myoglobin. Treatment consisted of aggressive volume loading with monitoring of central venous pressure. Despite treatment, the patient developed acute renal failure (ARF) requiring haemodialysis. He slowly improved and at threemonth follow-up his renal function had returned to normal. Case 2 A man aged 22 came to hospital two days after a severe sjambokking. On admission he was alert, with a pulse of 100, blood pressure of 100 mmHg and a respiratory rate of 20 breaths per minute. On admission arterial blood pH was 7.356 with a base excess of 716 and bicarbonate 9.8 mmol/L. Within seven hours he had deteriorated greatly; despite aggressive treatment he died before haemodialysis could be instituted. Serum potassium taken at the time of his cardiac arrest was 8.4 mmol/L. COMMENT The association between rhabdomyolysis and ARF was ®rst reported in victims trapped during the London Blitz 1. The
The purpose of the study is to develop an augmented algorithm with optimised energy and improvised synchronisation to assist the knee exoskeleton design. This enhanced algorithm is used to estimate the accurate left and right movement signals from the brain and accordingly moves the lower-limb exoskeleton with the help of motors.
An optimised deep learning algorithm is developed to differentiate the right and left leg movements from the acquired brain signals. The obtained test signals are then compared with the signals obtained from the conventional algorithm to find the accuracy of the algorithm.
The obtained average accuracy rate of about 63% illustrates the improvised differentiation in identifying the right and left leg movement.
The future work involves the comparative study of the proposed algorithm with other classification technologies to extract more reliable results. A comparative analysis of the replaceable and rechargeable battery will be done in the future study to exhibit the effectiveness of the proposed model.
This study involves the extended study of five frequency regions namely alpha, beta, gamma, delta and theta, to handle the real-time EEG signal processing exoskeleton, model.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.