Middle aortic coarctation (MAC), a variantof middle aortic syndrome, is a rare entity withonly ~200 cases described in the literature.It classically presents with early onset andrefractory hypertension, abdominal angina,and lower extremity claudication(1).A 30 years-old woman, Her systolic bloodpressure measures 180-200mm Hg and diastolicpressures measure 70mm Hg in both arms,lower extremity pressures are approximately70mm Hg. Her bilateral femoral pulses andpedal pulses are nonpalpable, but present onDoppler exam and CT-Angiography.We prepared diagnostic of CT-Angiographyand Aortography before operation. Wesuccessful operated abdominal aorticcoarctation by “Silver graft” Aortoaortic bypasson the middle aortic, left nephrectomy.She was discharged home on postoperativeday 7. Post operation is good. We werecontrolled CT-Angiography.

Introduction : In the last years other country scientists told about not only determine infant weights, need to interest correlation between maternal weight, height and infant weight. In our country few research articles posted about anthropometry of obstetrics and gynecology. Our study aim is determine maternal weight, infant weight, placenta weight and assess factors affecting roles on maternal story of “Amgalan” Maternity Hospital in 2014-2015. Goal: The current study aimed at assessing maternal weight, infant weight, placenta weight and evaluating the effect of factors leading to it. Materials and Methods: The data was already collected from “Amgalan” Maternity Hospital using maternal history and record and it was collected measuring general physical characteristics such as body weight and height, infant weight, placenta weight and body circumferences. We used retrospective method and collected statistical data was analyzed using SPSS 21.0 software. Results: Of total 964 study participants aged 18-45. The average age of participants was 29.6 ± 5.8 years old and 49.7% (n=479) was working during pregnancy, 45.7% (n=441) hadn’t works, 4.6% (n=44) was student. The average weight of mothers was 75.4±11.5, weight of infants was 3439.5±456, weight of placenta was 685±129. The following factors affected maternal and infant weights: lower education, working, early and late pregnancy complication. Maternal weight had a low direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01). In our study maternal height had a low direct correlation with infant weight(r=0.173, p<0.01) and infant weight had a moderate direct correlation with placenta weight (r=0.376, p<0.01). Conclusions
1. The average maternal weight was 75.4±11.5, infant weight was 3539.5±456, placenta weight was 685±129.
2. The following factors affected maternal and infant weights: lower education, working status, early and late pregnancy complications.
3. Maternal weight had a little direct correlation with infant weight (r=0.267, p<0.01) and placenta weight (r=0.208, p<0.01).

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.