Clarification of muscle synergy structure during standing-up motion of healthy young, elderly and post-stroke patients.

Standing-up motion is an important daily activity. It has been known that elderly and post-stroke patients have difficulty in performing standing-up motion. The standing-up motion is retrained by therapists to maximize independence of the elderly and post-stroke patients, but it is not clear how the elderly and post-stroke patients control their redundant muscles to achieve standing-up motion. This study employed the concept of muscle synergy to analyze how healthy young adults, healthy elderly people and post-stroke patients control their muscles. Experimental result verified that four muscle synergies can represent human standing-up motion. In addition, it indicated that the post-stroke patients shift the weights of muscle synergies to finish standing-up motion comparing to healthy subjects. Moreover, different muscle synergy structures were associated with the CoM and joint kinematics.

Comparison of artesunate and quinine in the treatment of severe Plasmodium falciparum malaria at Kassala hospital, Sudan.

INTRODUCTION: There is a need to investigate the treatment (artesunate and quinine) of severe malaria, as this will influence the outcome of morbidity and the mortality of the disease. METHODOLOGY: An open randomized trial conducted at Kassala, Sudan. Patients with severe P. falciparum malaria were randomly assigned to either intravenous artesunate at 2.4 mg/kg at 0, 12, and 24 hours, then daily, or intravenous quinine at a 20 mg/kg loading dose, then 10 mg/kg three times a day. Fever and parasite clearance and coma resolution time were compared between the two groups . RESULTS: The two groups (47 in each group) were well matched in the clinical and biochemical characteristics. Hypotension, convulsions, severe anemia, hypoglycemia, cerebral malaria, and jaundice were the predominant manifestations of severe malaria. The mean (SD) of the fever clearance (10.8 [5.5] vs. 14.0 [8.1] hours, p = 0.028) and the parasite clearance time (16.5 [6.4] vs. 21.7 [11.3] hours, p = 0.007) were significantly shorter in the artesunate-treated patients. In comatose patients, there was no difference between the two groups in coma resolution time. Following quinine infusion, ten patients developed tinnitus (p < 0.001), and four had hypoglycemia (p = 0.033). Tinnitus and hypoglycemia were not detected in the artesunate group. One patient in the artesunate group died. CONCLUSIONS: Artesunate is more effective than quinine, in term of parasite and fever clearance time, in the treatment of P. falciparum malaria in eastern Sudan. The study found no difference between artesunate and quinine in coma resolution time.

Object-oriented fuzzy expert system for on-line diagnosing and control of bioprocesses.

An object-oriented fuzzy expert system to support on-line control of an automated fermentation plant is described. The major elements of the system consist of a fuzzy inference engine, a database, a knowledge base, and an expression evaluater. The expression evaluater calculates specific rates for growth, and substrate and product formation at different physiological states during the cultivation from the measured data. The specific rates are then compared with the standard target rates stored in the database. If differences outside the set tolerances were observed, the inference engine analyses the reasons for the faults on the basis of the knowledge represented in the form of a knowledge network and fuzzy membership functions of the process variables. The fuzzy expert system was developed on the basis of a shell constructed by using the object oriented Smalltalk/V Mac programming environment, with Lac-tobacillus casei lactic acid fermentation as the example of process application.

Fuzzy reasoning system for fault diagnosis of physiological activities in a cultivating process.

Aiming at development of a system which supports cultivating operations, a method to diagnose physiological activities in a cultivating process is presented, and a fuzzy expert system for diagnosing Lactobacillus casei cultivating process is implemented in this paper. This system can calculate specific rates of cell growth, substrate consumption, and product formation with measuring cell mass concentration, substrate concentration, and product concentration by using a turbidity sensor and HPLC. A database is implemented, where standard curves on specific rates representing characteristics of microorganisms are stored according to normalized substrate consumption. Comparing the calculated specific rates with standard values derived from the database, the system diagnoses physiological activities of the microorganisms. As a case study, a knowledge base for diagnosing lactic acid production process is implemented. The use of fault diagnosis on pH malfunctions by the expert system proves its reasonable performance.