1. EVALUATION OF THE SECONDARY SCHOOL EXTERNAL ENVIRONMENT SOLID WASTE MANAGEMENT IN ULAANBAATAR MONGOLIA
Zolzaya D ; Ser-Od Kh ; Batzorig B ; Nandin-Erdene O ; Oyunbileg N ; Davaalkham D
Innovation 2015;9(3):160-162
A school environment may cause positive effect upon health and healthy behavior, but also representmain factor for transfer of non-infectious diseases. Therefore, the issue of maintaining an appropriate environment in operations of training and educational institution would be considered as vital in every country of the world. In our country the solid waste hygienic conditions around children organizations represent one of actual problems. Through the research work was aimed to evaluate the state of solid waste at external environment of general educational institutions by the momentum model of analytical research and involving 103 state proprietary Educational Institutions of 9 districts. At developing estimation list of solid waste at external environment of schools were used current effective standards, resolutions and regulations. 88.3 percent of schools involved into research work had special solid waste-points and 11.7 percent had no special solid waste-points. 38.8 percent of solid waste-points were fenced from all sidesand 44.7 percent fenced from some sides and 16.5 percent had no fence in whole. The research of material from which was made a solid waste-keeping facility showed that 44.2 percent were made from metal, 2.3 percent from wood and 52.3 percent from brick. When we studied whether the solid waste-keeping facility is placed in distance of 25 meters from school according to standard,was determined that 71.8 percent were built according to the standard, 28.2 percent were allocated within 25 meters showing inconformity with the standard. During the research it has been detected that among schools 27.2 percent had too much solid waste-heap, 25.5 percent had placed no special recycle-bins on the school site and 13.6 percent conducted wrong activity by incinerating solid waste on the territory of school.2/3 or total 63 schools among Metropolitan state proprietary educational institutions has non- standard solid waste-keeping facility, 1/3 or 29 schools has located their solid waste-points in non- standard distance, there exists much solid waste-heap because of insufficient recycle-bins, absence of solid waste-points results in collection of solid waste in a special room inside of school and later its transportation with scavenger. Also, 13.6 percent or 14 schools are incinerating their solid waste within school site. This breeches effective hygienic norms and normative.
2.EVALUATION OF PREMEDICAL CURRICULUM
Orgil J ; Tuvshinjargal Ts ; Oyungoo B ; Ser-Od kh
Innovation 2018;12(2):12-16
BACKGROUND. Since the implementation of Pre-medical curriculum the first students have successfully finished their courses. However, formative and summative evaluation of the curriculum hasn’t been done. The purpose of this study is to analyze the correlation between satisfaction level and knowledge acquisition of the students.
MATERIAL AND METHODS. The study was completed at School of Bio-medicine of MNUMS and Division of Education and Policy. We have studied correlation of grade point average (GPA), integrated final exam score, and general admission test/entrance examination test scores (Chemistry and Biology test scores) of total of 395 students’.
RESULTS. A total of 395 students’ 4 types of test scores have been used in this study. Out of 395 students, 68 (17%) male, 327 (83%) female and 317 (80%) medical and 78 (20%) health sciences pre-medical students. Results have shown that, both general admission test score and university pre-medical GPA had a direct, average line correlation. In other words, students who have had a higher general admission test score; have scored higher GPA scores at university. The comparison of GPA with the integrated final exam score has shown a direct, average line correlation, which proves the validity of the GPA.The highest factor among was the teacher methodology skills scoring 4.0. The lowest factor was teaching facilities and student lesson load scoring 3.7.
CONCLUSION. The satisfaction level is higher the average. The student GPA, general admission test score, both have a direct or average line correlation.
3.COMPERATIVE STUDY OF CALCULATION ON STUDENT QUANTITATIVE POINT
Gan-Erdene s ; Ser-Od Kh ; Oyungoo B ; Sumberzul N
Innovation 2017;11(1):18-23
BACKGROUND
As a Mongolian National University of Medical Sciences student rating point is calculated by transferring into 42 level quantitative point in accordance with procedure which assess student approved byDirector with 1st attachment of order no. A/144 on December 15, 2015. However, the calculation,estimated by mathematics allocation, of the student rating point, letter point and quantitative is notbased on research also allocation of transferring the rating point into quantitative point is different foranother universities. These reasons mentioned previously have seriously become basis backgroundof our research. The main objective of this research is to compare model of transferring rating pointinto quantitative point.
METHODS
Research was completed by quantitative method that based on moment descriptive study, case study,
model of mathematic and geometry modeling.Under our research objective we did compare study using rate point that transfer into quantitativepoint of student at MNUHS, accuracy and methodology all among the Mongolian state and private universities. Now Mongolian National University of Life Sciences, Etugen University and New Mongolia Medical University are using 5 level table that approved Ministry of Education Science, Mongolian National University is using 9 level scale, Mongolian University of Science & Technology, Mongolian State University of Education, Mongolian State University of Art&Culture are using 12 level scale while MNUHS is using 42 scale table that calculate student average point. We compared model of GPA calculation that rate point transfer into quantitative point by using all tables belong each Universities mentioned above. We have developed mathematical and geometrical modeling on each assessment since we started study and made statistical process based on modeling.
RESULTS
Some articles of the regulation to adapt the credit hours, evaluate students’ knowledge and ability
during the training where providing the higher educational degree were not fulfilled. Hereto:
The article of the guidance that are taking: 70 rating point considering to the letter D, 80 rating point
considering to the letter C, 90 rating point considering to the letter B are not providing the 12 level
module.
The modules with staging 9, 12, 42 of the article on regarding measurement of 2, 3, 4 in 70, 80, 90
rating grade are not meeting requirements.
According to the survey among 470 students who’s GPA higher 2.5 in the 42 level scale shows mostly.
Also, the percentage of the students with GPA higher than 3 are in high level. In other words, 158
students (33.6% of 470 students) are meeting requirements of the national scholarship programs and
other scholarships.
The calculation of the correlation relationship of the rating point and grades converted to the digit rate
that are using in all universities were the positive correlation, linear dependence.
For the module with staging Person Correlation 9, its influence rate is 98.7 per cent that shows the
highest rate comparing with other modules. To calculate Determination Percentage (r2), the module
with staging 9 is 97.4 per cent or these digit grades have the highest capacity to show the rating grade.
CONCLUSION
Level models are able to rate in points or statistical significant.
The high correlation between rating point and digit grade’s and determination percentage in the 9
level module showing more relevant in statistics and reporting capacity. The modules with staging 9,
12, 42 are not meeting requirements of the guidance.
4.Interactions between herbs and conventional drugs
Narantungalag D ; Maralmaa T ; Oigonchimeg B ; Ser-Od B ; Tsetsegsuren E ; Gerelmaa B ; Sarnai S
Diagnosis 2024;110(3):5-13
This article provides an overview of the clinical evidence of interactions between herbal and conventional medicines. Herbs involved in drug interactions – or that have been evaluated in pharmacokinetic trials – are discussed in this review. While many of the interactions reported are of limited clinical significance and many herbal products (echinacea, valerian) seem to expose patients to minor risk
under conventional pharmacotherapy, a few herbs, notably St. John’s wort, may provoke adverse events sufficiently serious about endangering the patient’s health.
Healthcare professionals should remain vigilant for potential interactions between herbal medicines and prescribed drugs, especially when drugs with a narrow therapeutic index are used. Hypericum perforatum L. (St. John’s wort) extracts are widely used as a safe alternative to conventional antidepressant drugs for mild to moderate forms of depressive disorders.
St. John’s wort represents the herbal product that is most involved in herb-to drug interactions.
The aim of this article is to provide an overview of the clinical data regarding the E2 interactions between herbal remedies and prescribed drugs.
For patients on prescription medications, the concomitant use of herbal medications can cause serious and adverse effects. It is the responsibility of health professionals to be well informed about the clinical evidence of herb-drug interactions.
5.Comparison of umbilical cord blood gas parameters of newborns with the use of some labory induction drugs
Oigonchimeg B ; Sarnai S ; Maralmaa T ; Ser-Od B ; Tsetsegsuren E ; Gerelmaa B ; Narantungalag D
Diagnosis 2024;110(3):40-46
Background:
Induction of labor is a procedure performed to prevent maternal and perinatal morbidity and mortality. The effects of birth control pills on babies are still controversial. Therefore, we conducted this study to compare the effects of oxytocin and misoprostol on fetal blood gas parameters.
Aim:
To compare the effects of misoprostol and oxytocin used in labor induction on umbilical cord blood parameters
Materials and methods:
We conducted this study among mothers who gave birth in the NICU, according to the inclusion criteria, a control group (n=30), misoprostol alone vaginally (n=30) and oxytocin drip alone (n= 30) and oxytocin with misoprostol group (n=30) 4 groups used 100 mothers were selected respectively. Umbilical artery blood was sampled and umbilical artery blood pH, pCO2, pO2, HCO3, and VE (blood base excess) parameters were measured in the laboratory. The umbilical cord blood acid-alkaline parameters and lactate levels were analyzed and evaluated using COBAS C311 and COBAS B221 instruments. It was compared and determined using SPSS26 and EXCEL programs.
Results:
The average age of all mothers included in the study was 27.87±6.12, the average gestation period was 39.6±0.7 weeks, and the average weight of the newborn was 3466±323 gr. The average umbilical cord blood pH value was 7.34±0.04 in the control group, 7.25±0.07 in the oxytocin group, 7.27±0.04 in the misoprostol group, and 7.24±0.04 in the oxytocin and misoprostol group. And lactate valie was 5.8 in the control group, 7.5 in the oxytocin group, 9.87 in the misoprostol group, 8.7 in the combined group.
Conclusions
Compared to the group that did not use labor-inducing drugs, the mean pH of umbilical cord blood and lactate level were higher or statistically significant in the 3 groups that used labor-inducing drugs, indicating that birth-inducing drugs affect the umbilical cord blood parameters.
6.Study results of PM1 and PM10 particulate matter concentrations in Ulaanbaatar city’s household environments using low-cost sensors.
Ulziimaa D ; Jargalsaikhan G ; Ser-Od Kh ; Enkhjargal G ; Myagmarchuluun S ; Gantuya D ; Munkh-Erdene L ; Damdindorj B ; Khurelbaatar N ; Davaalkham D
Mongolian Journal of Health Sciences 2025;88(4):88-91
Background:
According to the World Health Organization (WHO), 99 percent of the world’s population is exposed to air
that exceeds WHO recommendations, with low- and middle-income countries being the most affected. The main causes
of indoor air pollution include human activities such as fuel burning, cooking, cleaning, and smoking; housing character
istics such as walls, floors, ceilings, and furniture; ventilation; and outdoor air pollution.
Aim :
To assess PM1 and PM10 concentrations in 120 selected households in Ulaanbaatar.
Materials and Methods :
Indoor PM1 and PM10 concentrations were measured using Purple Air real-time sensors in
randomly selected Ulaanbaatar households between October 2023 and January 2024. Supplementary data on factors af
fecting the PM2.5 concentration were collected via questionnaires. Each measurement was taken in 10-minute intervals,
yielding 51,309 data for analysis.
Results :
PM1 concentrations were measured at 55.5±53.2 μg/m³ in gers, 54.9 ± 46.7 μg/m³ in houses, and 31.6±40.1 μg/
m³ in apartments (p<0.001) and measuring PM10 concentrations were 110.6±108.6 μg/m³ in gers, 110.6±96.7 μg/m³ in
houses, and 62.2±83.0 μg/m³ in apartments (p<0.001) When considering the concentration of PM1, PM10 by heating
type, PM1 was 55.3±50.1 μg/m³ and PM10 was 110.6±103.0 μg/m³ in households with stoves and furnaces, and PM1
was 31.6±40.1 μg/m³ and PM10 was 62.2±83.0 μg/m³ in households connected to the central heating system (p<0.001).
Regarding the months of measurement, the highest concentration was observed in December 2023, at 77.1±94.1 μg/
m³. The highest concentrations for both PM₁ and PM₁₀ were recorded in January 2024, at PM₁: 64.8±55.1 μg/m³, PM₁₀:
131.4±116.0 μg/m³.
Conclusion
1. Indoor PM10 concentrations in residential environments in Ulaanbaatar city were within the MNS4585:2016 Air
Quality Standard, however, it was exceeded the WHO air quality guidelines, indicating an excessive risk of increas
ing morbidity and mortality among the population.
2. Indoor PM1 and PM10 concentrations in residential environments in Ulaanbaatar varies depending on location, type
of housing, type of heating, and month of measurement.