scholarly journals Laboratory Observation of Ion Conics by Velocity-Space Tomography of a Plasma

1987 ◽  
Vol 58 (1) ◽  
pp. 37-40 ◽  
Author(s):  
R. McWilliams ◽  
R. Koslover
Keyword(s):  
Velocity Space ◽  
Laboratory Observation ◽  
Ion Conics

On the origins of the upward shift of elevated (bimodal) ion conics in velocity space

1996 ◽  
Vol 101 (A12) ◽  
pp. 26961-26969 ◽  
Author(s):  
W. Miyake ◽  
T. Mukai ◽  
N. Kaya
Keyword(s):  
Velocity Space ◽  
Upward Shift ◽  
Ion Conics

PENENTUAN KRITERIA PENILAIAN KESAN JUMLAH LEUKOSIT PADA PEMERIKSAAN APUSAN DARAH TEPI

2018 ◽  
Vol 3 (2) ◽  
pp. 52-61
Author(s):  
Dzikra Arwie ◽  
Islawati
Keyword(s):  
Data Analysis ◽  
Statistical Analysis ◽  
Blood Cells ◽  
Blood Smear ◽  
White Blood Cells ◽  
Peripheral Blood Smear ◽  
Field Of View ◽  
Laboratory Observation ◽  
Number Of Cells

Leukocytes or white blood cells have a characteristic characteristic of different cells. Determination of the impression of the number of leukocytes is determined in the number of cells in the field of view. While the number of viewable field cells expressed is still quite varied. The purpose of this study was to determine the number of leukocytes in the field of view and expressed the impression of a sufficient amount. This research was conducted at the Laboratory of Health Analyst Department Panrita Husada Bulukumba on 9 April 2017 to 14 July 2017. This type of research is a laboratory observation that aims to determine the criteria for assessing the impression of the number of leukocytes on a peripheral blood smear. Data analysis using statistical analysis is the average and standard deviations to determine the impression of the number of leukocytes and use 3 inspection zones. The results of this study obtained results in zone IV the number of leukocyte impressions said to be sufficient was 7-10, in zone V the number of leukocyte impressions said to be sufficient was 4-9, and in zone VI the number of leukocyte impressions said to be sufficient was 3-8.  

STUDI GAMBARAN HASIL PEMERIKSAAN APUSAN DARAH TEPI PADA IBU HAMIL DI LABORATORIUM RSUD H.A.SULTHAN DAENG RADJA KABUPATEN BULUKUMBA

2018 ◽  
Vol 3 (2) ◽  
pp. 13-26
Author(s):  
Rahmat Aryandi ◽  
Subakhir Salnus
Keyword(s):  
Platelet Count ◽  
Pregnant Women ◽  
Blood Smear ◽  
Leukocyte Count ◽  
Marked Change ◽  
Peripheral Blood Smear ◽  
Morphological Examination ◽  
Laboratory Observation ◽  
Hematologic Disorder ◽  
Normal Platelet

During pregnancy, there will be a marked change in anatomy, physiology and biochemistry since the onset of pregnancy and often lackof nutrient intake. Hematologic disorder is often found in pregnant women because it causes pregnant women more susceptible to disturbances in blood circulation, The purpose of this study to determine the description of blood smear results in pregnant women in the laboratory RSUD H.A.Sulthan Daeng Radja District. This research is descriptive with laboratory observation approach. The sample used in this study were 30 samples of pregnant women who checked themselves in the Laboratory of RSUDH.A.Sulthan Daeng Radka Bulukumba District. The result of this research showed the result of peripheral blood smear on the morphology of erythrocytes using 30 samples of pregnant women showed 14 samples (46,66%) normocytic normochrom and the remaining 16 samples were morphological variation (53,33%), on morphological examination and platelet count with using 30 samples of pregnant women showed each 29 samples had morphology and normal platelet counts with respectively 96.66% percentage and platelet aggregation and decreased platelet count (thrombocytopenia) with each persentase 3.33%. At leukocyte morphology examination using 30 samples of pregnant women showed 29 samples had normal morphology with 96,66% percentage and one sample with hypersegmentation with percentage 3,33%. normal leukocyte count at 9 samples with percentage 30% and leukocyte count increased at 21 samples with percentage 70%.

scholarly journals The use of score for neonatal acute physiology perinatal extention II (SNAPPE II) in predicting neonatal outcome in neonatal intensive care unit

2016 ◽  
Vol 45 (6) ◽  
pp. 241
Author(s):  
Mia R A ◽  
Risa Etika ◽  
Agus Harianto ◽  
Fatimah Indarso ◽  
Sylviati M Damanik
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Characteristic Curve ◽  
Newborn Care ◽  
Scoring Systems ◽  
Laboratory Observation ◽  
The Mean ◽  
Overall Mortality

Background Scoring systems which quantify initial risks have animportant role in aiding execution of optimum health services by pre-dicting morbidity and mortality. One of these is the score for neonatalacute physiology perinatal extention (SNAPPE), developed byRichardson in 1993 and simplified in 2001. It is derived of 6 variablesfrom the physical and laboratory observation within the first 12 hoursof admission, and 3 variables of perinatal risks of mortality.Objectives To assess the validity of SNAPPE II in predicting mor-tality at neonatal intensive care unit (NICU), Soetomo Hospital,Surabaya. The study was also undertaken to evolve the best cut-offscore for predicting mortality.Methods Eighty newborns were admitted during a four-month periodand were evaluated with the investigations as required for the specifi-cations of SNAPPE II. Neonates admitted >48 hours of age or afterhaving been discharged, who were moved to lower newborn care <24hours and those who were discharged on request were excluded. Re-ceiver operating characteristic curve (ROC) were constructed to derivethe best cut-off score with Kappa and McNemar Test.Results Twenty eight (35%) neonates died during the study, 22(82%) of them died within the first six days. The mean SNAPPE IIscore was 26.3+19.84 (range 0-81). SNAPPE II score of thenonsurvivors was significantly higher than the survivors(42.75+18.59 vs 17.4+14.05; P=0.0001). SNAPPE II had a goodperformance in predicting overall mortality and the first-6-daysmortality, with area under the ROC 0.863 and 0.889. The best cut-off score for predicting mortality was 30 with sensitivity 81.8%,specificity 76.9%, positive predictive value 60.0% and negativepredictive value 90.0%.Conclusions SNAPPE II is a measurement of illness severity whichcorrelates well with neonatal mortality at NICU, Soetomo Hospital.The score of more than 30 is associated with higher mortality

Kinematical evolution of Globular Clusters

2019 ◽  
Vol 14 (S351) ◽  
pp. 524-527
Author(s):  
Maria A. Tiongco ◽  
Enrico Vesperini ◽  
Anna Lisa Varri
Keyword(s):  
Angular Momentum ◽  
Structural Properties ◽  
Globular Clusters ◽  
Velocity Dispersion ◽  
Three Dimensional ◽  
Stellar Populations ◽  
Velocity Space ◽  
Fundamental Understanding

AbstractWe present several results of the study of the evolution of globular clusters’ internal kinematics, as driven by two-body relaxation and the interplay between internal angular momentum and the external Galactic tidal field. Via a large suite of N-body simulations, we explored the three-dimensional velocity space of tidally perturbed clusters, by characterizing their degree of velocity dispersion anisotropy and their rotational properties. These studies have shown that a cluster’s kinematical properties contain distinct imprints of the cluster’s initial structural properties, dynamical history, and tidal environment. Building on this fundamental understanding, we then studied the dynamics of multiple stellar populations in globular clusters, with attention to the largely unexplored role of angular momentum.

scholarly journals Inversion methods for fast-ion velocity-space tomography in fusion plasmas

2016 ◽  
Vol 58 (4) ◽  
pp. 045016 ◽  
Author(s):  
A S Jacobsen ◽  
L Stagner ◽  
M Salewski ◽  
B Geiger ◽  
W W Heidbrink ◽  
...  
Keyword(s):  
Velocity Space ◽  
Fusion Plasmas ◽  
Inversion Methods ◽  
Ion Velocity ◽  
Fast Ion

Discretization of the Boltzmann equation in velocity space using a Galerkin approach

2000 ◽  
Vol 129 (1-3) ◽  
pp. 91-99 ◽  
Author(s):  
Jonas Tölke ◽  
Manfred Krafczyk ◽  
Manuel Schulz ◽  
Ernst Rank
Keyword(s):  
Boltzmann Equation ◽  
Velocity Space ◽  
Galerkin Approach ◽  
The Boltzmann Equation
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