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Results of Lutasan Treatment in Mongolia
( O. Baatarkhuu ),( B. Amartuvshin ),( D. Munkh-orshikh ),( D. Badamsuren ) 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1
Aims: Chronic liver diseases are very common among the Mongolians. Study suggests that alcohol induced pathologies composed of cirrhosis 39%, fatty liver disease 27%, and 11% chronic hepatitis respectively. “Lutasan” (reduced glutathione) injection is known as hepatoprotector, antioxidant, immune modulator and detoxifying functions. As chronic disease progresses, glutathione insufficiency leads to poor cognitive outcomes and tremor in upper limbs. Therefore, we aimed to study treatment efficacy of “Lutasan” injection for chronic liver diseases and the complications. Methods: Total of ten subjects were recruited randomly from GI Department of Third General Hospital. Liver functions were evaluated by serum total bilirubin, total protein, albumin, AST, ALT, GGT, and alkaline phosphatase measures and hepatic neurocognitive deterioration was evaluated by Reitan neurophysiological test. Results: 10% of the patients were alcohol induced, and 60% had combination of viral and alcoholic reasons, and remaining 20% had biliary tract disorders. Compare to the first day’s results, on the 10th day of hospitalization, serum indicators were much improved within the treatment period (<sup>*</sup>-P<0.05) including AST 3.02 times, ALT 2.21 times, ALP 2.56 times and GGT 1.78 times were decreased respectively (Table 1). Also neuro-cognitive improvements were significantly observed, by 1.74 times on Reitan neurophysiological test when comparing before and after treatment scores, 58.6±4.61 and 33.7±1.34, respectively. Conclusions: These findings suggest that Lutasan, a glutathione supplement has effects of minimizing hepatic cytolysis, cholestasis in the biliary tract, reducing destruction of hepatocytes, and aiding regeneration of liver cells. Moreover, it reduces symptoms of hepatic neurocognitive disorders significantly.
Ts. Tengis,B.Dorj,T.Amartuvshin,Ch.Batchuluun,G.Bat-Erdene,Kh.Temuulen 한국인터넷방송통신학회 2024 International journal of advanced smart convergenc Vol.13 No.1
This study presents the results of designing a system that determines the location of a person in an indoor environment based on a single IMU sensor attached to the tip of a person's shoe in an area where GPS signals are inaccessible. By adjusting for human footfall, it is possible to accurately determine human location and trajectory by correcting errors originating from the Inertial Measurement Unit (IMU) combined with advanced machine learning algorithms. Although there are various techniques to identify stepping, our study successfully recognized stepping with 98.7% accuracy using an artificial intelligence model known as Long Short-Term Memory (LSTM). Drawing upon the enhancements in our methodology, this article demonstrates a novel technique for generating a 200-meter trajectory, achieving a level of precision marked by a 2.1% error margin. Indoor pedestrian navigation systems, relying on inertial measurement units attached to the feet, have shown encouraging outcomes.