〔C II〕Continuum Intensity Ratio in the Far-Infrared Toward the Central Kiloparsec of the Nearby Spiral Galaxy M31

We observed the nearby galaxy M31 in the 〔C II〕158 μm emission line. An extended component was detected over the central 1 5 kpc region with a line-to-continuum ratio of 〔C II〕/〔40-120μm〕6×10 -3 . This ratio is 3 times larger than that of the Galactic counterpart and is comparable to that in the general Galactic Plane. We expect that the difference between the two central regions are due to different gas densities; the self-shielding of CO molecules decreases the C + abundance at the higher density in the Galactic case.

西伯利亚高压异常与海温异常的关系(英文)

By using the monthly average dataset of NCEP/NCAR reanalysis and the monthly average ocean temperature data of NOAA satellite center,we analyzed and probed into the relationship between Siberian high anomaly and SSTA,and found that the sea area anomaly is a bigger area,which have greater effect on the variation of Siberian high.The results indicated that there was a wonderful contemporaneously correlation between the area and intensity index of Siberian high and ocean temperature.The correlation type of the synchronous correlative areas between the central intensity index of Siberian high and ocean temperature have structural similarities with the correlative field's structure of area index,but the positive correlative regions expanded,and the intensity of negative correlative regions weakened significantly.The correlation among the area index of Siberian high and the central intensity index,as well as the ocean temperature anomaly of the North Atlantic during spring,autumn and summer of the same year was remarkable.The area index and the central intensity index of Siberian high anomaly have obvious correlation with the ocean temperature anomaly of Southwest Atlantic Ocean during spring,summer and autumn,however,they have apparent seasonal differences with the prominent negative correlative areas of subtropical South Indian Ocean and tropical South Pacific Ocean as well as Southwest Atlantic Ocean.The correlative index of area anomaly is greater than those of intensity anomaly.Larger impact on the variability of Siberian high anomaly are the SSTA of subtropical South Indian Ocean,mid and high latitudes of North Pacific Ocean,North Atlantic,tropical South Pacific Ocean,Southwest Atlantic Ocean,etc.several areas.

Level of Stress at Nurses Working in Emergency Clinic and Central Intensive Care: University Clinical Centre of Kosovo

Background: Emergency Clinic (EC) and Central Intensive Care (CIC) are high-stress environments that directly affect the health status of nurses. Methods: The aim of this study was to assess the level of stress at nurses working in the Emergency Clinic and nurses working in the Central Intensive Care. The study included 90 nurses, 45 nurses working in Emergency Clinic and 45 nurses working in Central Intensive Care. The study applied the Emergency Nurse Stress Questionnaire as an instrument to gather the data. This questionnaire was adopted from the Operational Police Stress Questionnaire in order to serve for the function and aim of the present study. Results: Nurses’ cohort-age ranged from 20 to 62 years. The largest proportion of respondents 40 (44.4%) was in the 20 - 30 age group, 58 (64.4%) were married, 60 (66.6%) hold bachelor degree and (33.3%) were with secondary school educational level. In terms of work-related fatigue, significant difference was found in working hours, participants reported that there was a significant difference in fatigue between 12 hours shift nurses (61 ± 10.5) compared to 8 hours nurses (41 ± 23.6) with P < 0.001. Results indicated that a vast majority of participants reported moderate to high levels of stress (81% of participants). There was no significant difference in the level of stress between the two groups of participants. There were also no significant differences compared to their demographic characteristics. Conclusion: These findings emphasize the role of using and assuring adequate strategies for ensuring quality management and finding ways of facilitating the increase in the number of nursing staff in these two departments because workplace overload and fatigue are potential factors that increase nurses’ stress levels.