Infrared intensity analysis of some MXY2 type molecules

Pramana ◽  
1978 ◽  
Vol 10 (2) ◽  
pp. 207-212 ◽  
Author(s):  
Pratibha Naik ◽  
N Rajeswara Rao
Keyword(s):  
Intensity Analysis ◽  
Infrared Intensity

Infrared intensity analysis of molecules C2H6, C2D6, C2F6 and CF4 zero and first order approximations

Pramana ◽  
1982 ◽  
Vol 18 (4) ◽  
pp. 317-324 ◽  
Author(s):  
V Buddha Addepalli ◽  
N Rajeswara Rao
Keyword(s):  
Intensity Analysis ◽  
First Order ◽  
Infrared Intensity

Raman and infrared intensity analysis of CHCl3 and CDCl3

Pramana ◽  
1979 ◽  
Vol 13 (2) ◽  
pp. 111-116 ◽  
Author(s):  
Pratibha Naik ◽  
V A Padma ◽  
N Rajeshwara Rao
Keyword(s):  
Intensity Analysis ◽  
Infrared Intensity

Infrared intensity analysis of CHCl3 and CDCl3

Pramana ◽  
1983 ◽  
Vol 21 (6) ◽  
pp. 347-355
Author(s):  
L D Wahegoankar ◽  
N Rajeswara Rao
Keyword(s):  
Intensity Analysis ◽  
Infrared Intensity

Infrared intensity analysis of CH2Cl2 and CD2Cl2 in vapour and liquid states

Pramana ◽  
1979 ◽  
Vol 12 (5) ◽  
pp. 505-510 ◽  
Author(s):  
Pratibha Naik ◽  
N Rajeswara Rao
Keyword(s):  
Intensity Analysis ◽  
Infrared Intensity ◽  
Liquid States

Penentuan Metode Intensitas Hujan Berdasarkan Karakteristik Hujan dari Stasiun Pengamat Hujan Disekitar Kecamatan Karawang Timur

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Melisa Permatasari ◽  
M. Candra Nugraha ◽  
Etih Hartati
Keyword(s):  
Drainage System ◽  
Daily Rainfall ◽  
Intensity Analysis ◽  
Rain Intensity ◽  
Rainy Period ◽  
Discharge Plan ◽  
Calculation Results ◽  
Value Determination ◽  
Maximum Daily Rainfall ◽  
Method Approach

<p>The rain intensity is the high rainfall in unit of time. The length of rain will be reversed by the amount rain intensity. The shorter time the rain lasts, the greater of the intensity and re-period of its rain. The value of rain intensity is required to calculate the flood discharge plan on the drainage system planning area in East Karawang district. Determining the value rain intensity is required the maximum daily rainfall data obtained from the main observer stations in the Plawad station planning area. The method of determination rain intensity analysis can be done with three methods: Van Breen, Bell Tanimoto and Hasper der Weduwen. Selected method is based on the smallest deviation value. Determination deviation value is determined by comparing rain intensity value of Van Breen method, Bell Tanimoto, Hasper der Weduwen. By comparing rain intensity value of the Van Breen method, Bell Tanimoto, Hasper der Weduwen with the results of calculating three methods through the method approach Talbot, Sherman and Ishiguro. Calculation results show that the method of rain has smallest deviation standard is method Van Breen with Talbot approach for rainy period (PUH) 2, 5, 10, 25, 50 and 100 years.</p>

Whole-Field Indocyanine Green Intensity Analysis to Intraoperatively Predict Cerebral Hyperperfusion Syndrome Following Superficial Temporal Artery-Middle Cerebral Artery Bypass: A Retrospective Case-Control Study in 7-Year Experience With 112 Cases

2019 ◽  
Author(s):  
Yosuke Sato ◽  
Tatsuya Sugiyama ◽  
Tohru Mizutani
Keyword(s):  
Case Control Study ◽  
Superficial Temporal Artery ◽  
Temporal Artery ◽  
Case Control ◽  
Control Group ◽  
Intensity Analysis ◽  
Retrospective Case ◽  
Cerebral Hyperperfusion Syndrome ◽  
Cerebral Hyperperfusion ◽  
Control Study

Abstract BACKGROUND Intraoperative prediction of postoperative cerebral hyperperfusion syndrome (CHS) after cerebrovascular bypass surgery is challenging. OBJECTIVE To conduct a retrospective case-control study with indocyanine green (ICG) intensity analysis of the superficial temporal artery-middle cerebral artery (STA-MCA) bypass and investigate whether its washout pattern might be a marker for intraoperative prediction of CHS. METHODS Between 2012 and 2018, 6 of 112 patients (5.4%) that underwent STA-MCA bypass exhibited CHS. We selected 5 patients with CHS (3 with atherosclerotic cerebrovascular disease [ASCVD] and 2 with moyamoya) and 15 patients without CHS (60% ASCVD and 40% moyamoya) as a matched control group. During prebypass and postbypass, washout times (WTs) for the first 10%, 25%, 50%, and 75% of maximum ICG intensity measured in the whole-camera field were compared between groups. The changes in WT (ΔWT) from prebypass to postbypass for each ICG intensity level were compared between groups. The cutoff ΔWTs, sensitivities, and specificities were also calculated. RESULTS Postbypass WTs were significantly longer in the CHS group than the control group at all ICG intensities (P < .05). ΔWT was significantly greater in the CHS group than the control group for the first 10%, 25%, and 50% ICG intensities (P < .001). A cutoff ΔWT of ≥2.66 s for the first 50% ICG intensity showed a sensitivity of 100% and specificity of 100%. CONCLUSION We found that a ΔWT ≥2.66 s for the first 50% ICG intensity could be an intraoperative predictive factor for CHS.

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