scholarly journals Promising blood-derived biomarkers for estimation of the postmortem interval

2015 ◽  
Vol 4 (6) ◽  
pp. 1443-1452 ◽  
Author(s):  
Isabel Costa ◽  
Félix Carvalho ◽  
Teresa Magalhães ◽  
Paula Guedes de Pinho ◽  
Ricardo Silvestre ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Linear Correlation ◽  
Predictive Value ◽  
Biochemical Parameter ◽  
Postmortem Interval

A linear correlation between blood putrefaction time and biochemical parameter concentrations was obtained. Two mathematical models that may have predictive value for estimation of thepostmorteminterval were developed. The obtained results might be complementary procedures for the methodologies already used.

scholarly journals New computer technologies to determine postmortem interval by the Henssge method

2021 ◽  
Vol 7 (3) ◽  
pp. 152-158
Author(s):  
German V. Nedugov
Keyword(s):  
Mathematical Models ◽  
Least Squares Method ◽  
Optimization Methods ◽  
Postmortem Interval ◽  
Residual Variance ◽  
Interval Estimate ◽  
Implicit Functions ◽  
External Temperature ◽  
Application Program ◽  
Double Exponential

Background: The Henssge method is still the main thermometric method to determine postmortem interval. However, its existing software implementations are characterized by several disadvantages associated with copying simplified nomographic variants of the original mathematical models without any optimization attempts, as well as procedural imperfection in finding the roots of implicit functions. In this paper, methods are proposed for optimizing solutions to the Henssge mathematical models and determine their errors, as well as software application implementation. Aim: Optimization of the Henssge algorithm and development of a series of applications based on the obtained data, designed to determine postmortem interval. Material and methods: Methods for solving double exponential Henssge models and determining their errors based on computational mathematics and regression modeling using the least-squares method with subsequent implementation in the format of computer programs in C# language optimized. Results: The discrete nature of residual variance changes of the double exponential Henssge models intended to determine the postmortem interval according to rectal and cranioencephalic thermometry data under constant external temperature conditions is eliminated. The interval estimate determination of postmortem interval at any confidence probability is possible. The application program Warm Bodies HR was developed, which implements applied optimization methods. The application program Warm Bodies AHBG, designed to determine postmortem interval by the Henssge method in a single discrete decrease or increase conditions in the constant temperature of the external environment, including a change in the cooling conditions of the corpse, was developed. The search for the roots of implicit functions in programs is carried out using the Newton tangent method, which ensures continuous source data nature and eliminates errors associated with the need to round directly measured physical quantities. Conclusions: The developed programs are recommended for forensic medical expert practice to determine postmortem interval.

scholarly journals Perbandingan Berbagai Model Matematika Pada Pengeringan Lapisan Tipis Belimbing Wuluh (Averrhoa bilimbi)

2020 ◽  
Vol 4 (4) ◽  
pp. 442-451
Author(s):  
Rival Andrea ◽  
Raida Agustina ◽  
Indera Sakti Nasution
Keyword(s):  
Mathematical Model ◽  
Thin Layer ◽  
Mathematical Models ◽  
Water Content ◽  
Predictive Value ◽  
Thin Layers ◽  
Coefficient Of Determination ◽  
Observation Data ◽  
Garden Plant ◽  
The Mathematical Model

Abstract : Belimbing wuluh merupakan salah satu tanaman buah asli Indonesia dan daratan Malaya.Belimbing wuluh (Averrhoa bilimbi) banyak ditemui sebagai tanaman pekarangan yang mudah ditanam dan tidak memerlukan perawatan khusus.Tujuan dari penelitian ini adalah menentukan model matematika pada pengeringan lapisan tipis belimbing wuluh yang terbaik menggunakan beberapa persamaan. Penelitian ini dilakukan dengan menggunakan perhitungan kadar air belimbing wuluh,perhitunganMoisture Ratio dan perhitungan persamaan model matematika, Newton, HendersonPabis, Page, Modified page, Logarithmic, Modified Hederson Pabis menggunakan Excel. Hasil penelitian menunjukkan bahwa terdapat perbedaan keenam jenis model matematika pada pengeringan lapisan tipis belimbing wuluh dengan model Newton, Henderson and Pabis, Page, Modified page, Logarithmic, Modified Hederson Pabis. Berdasarkan analisis didapat model terbaik pada pengeringan belimbing wuluh belah dua bagian yaitu model Page. Dari data pengamatan dengan prediksi model Page yang di dapat untuk belimbing wuluh belah dua bagian diperoleh nilai koefisien determinasi sebesar 0,9849 suhu 40°C, 0,9824 suhu 50°C, dan 0,9807 pada suhu 60°C. Data pengamatan dengan prediksi model Henderson and Pabis yang di dapat untuk belimbing wuluh utuh  diperoleh nilai koefisien determinasi MR prediksi sebesar 0,9696 suhu 40°C, 0,9176 suhu 50°C, dan 0,9727 pada suhu 60°C. Comparison of Various Mathematical Models in Drying Thin Layer of BilimbiAbstract : Carambola Wuluh is one of the native fruit plants of Indonesia and the mainland of Malaya. Bilimbi (Averrhoa bilimbi) is commonly found as a garden plant that is easily planted and does not require special care. The purpose of this study is to determine the mathematical model in drying the best thin layer of bilimb using several equations. This research was carried out by calculating the water content of bilimbi, calculating the Moisture Ratio and calculating the equations of mathematical models, Newton, Henderson Pabis, Page, Modified page, Logarithmic, Modified Hederson Pabis using Excel. The results showed that there were differences in the six types of mathematical models in drying thin layers of bilimbi with Newton, Henderson and Pabis models, Page, Modified pages, Logarithmic, Modified Hederson Pabis. Based on the analysis, the best model was obtained in the drying of the two-part bilimi, the Page model. From the observational data with the prediction of Page models obtained for the two-part bilimbi obtained the value of the coefficient of determination is 0.9849 at 40 ° C, 0.9824 at 50 ° C, and 0.9807 at 60 ° C. Observation data with predictions of the Henderson and Pabis model obtained for whole bilimbi obtained the predictive value of the MR coefficient of 0.9696 at 40 ° C, 0.9176 at 50 ° C, and 0.9727 at 60 ° C.

scholarly journals Correlation between US-PSV and 64-Row MDCTA with Advanced Vessel Analysis in the Quantification of 50–70% Carotid Artery Stenosis

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Matteo Stefanini ◽  
Eleonora Gaspari ◽  
Luca Boi ◽  
Costantino Del Giudice ◽  
Roberta Mastrangeli ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Linear Correlation ◽  
Predictive Value ◽  
Carotid Artery Stenosis ◽  
Carotid Arteries ◽  
Linear Regression Analysis ◽  
Peak Systolic Velocity ◽  
Artery Stenosis ◽  
A Value ◽  
Sensitivity Specificity

Purpose. To correlate ultrasonographic peak systolic velocity (US-PSV) and 64-row multidetector computed tomography angiography (MDCTA) with advanced vessel analysis (AVA) software in the quantification of 50–70% carotid artery stenosis.Materials and methods. 199 consecutive patients (247 arteries) with internal carotid artery (ICA) or third proximal bifurcation stenosis. Each patient was studied by duplex US (DUS) and 64-row MDCTA with AVA software.Results. DUS showed PSV measurements less than 125 cm/s in 51 carotid stenosis and a value greater than this in 196 arteries. 64-row MDCTA AVA software showed a grade of stenosis less than 50% in 42 carotid arteries while a greater 70% was found in 4 carotid arteries; then, carotid arteries with stenosis percentage between 50% and 70% were 201. Linear regression analysis showed a good linear correlation () between MDCTA-AVA software percentage stenosis and PSV: between 50% grade of stenosis and PSV value corresponding to 133,6 cm/sec and between 70% stenosis and PSV value corresponding to 268 cm/sec. The sensitivity, specificity, positive predictive value(PPV), negative predictive value(NPV) of this analysis were 93%, 82%, 97%, 75%, respectively.Conclusion. Linear correlation between PSV data and grade of stenosis from 50% to 70% obtained with 64-row MDCTA AVA software. Main PSV value corresponding to 50% and 70% grade of stenosis at AVA analysis.

1423: The Impact of Gleason Score on the Predictive Value of PSA Doubling Time

2007 ◽  
Vol 177 (4S) ◽  
pp. 469-470 ◽  
Author(s):  
Stephen A. Boorjian ◽  
Sameer A. Siddiqui ◽  
Brant A. Inman ◽  
Jeffrey M. Slezak ◽  
R. Jeffrey Karnes ◽  
...  
Keyword(s):  
Gleason Score ◽  
Predictive Value ◽  
Doubling Time ◽  
Psa Doubling Time ◽  
The Impact

1497: Predictive Value of Proliferative Inflammatory Atrophy (PIA) for Prostate Cancer on Repeat Prostate Biopsy

2006 ◽  
Vol 175 (4S) ◽  
pp. 483-483
Author(s):  
Charlie Jung ◽  
Michael S. Cookson ◽  
Matthew J. Putzi ◽  
Sam S. Chang ◽  
Joseph A. Smith ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prostate Biopsy ◽  
Predictive Value ◽  
Proliferative Inflammatory Atrophy

1712: Predictive Value of 3D Volume Rendered CT for Collecting System Entry Prior to Nephron Sparing Surgery

2005 ◽  
Vol 173 (4S) ◽  
pp. 464-464
Author(s):  
Ithaar H. Derweesh ◽  
Gaspar A. Motta-Ramirez ◽  
Mahesh Gael ◽  
Nancy Obuchowski ◽  
Hazem A. Moneim ◽  
...  
Keyword(s):  
Predictive Value ◽  
Nephron Sparing Surgery ◽  
Nephron Sparing ◽  
3D Volume ◽  
Collecting System

1412: Assessment of a Cleaved Product of E-Cadherin as a Serum Biomarker with Predictive Value for Prostate Cancer

2005 ◽  
Vol 173 (4S) ◽  
pp. 383-383
Author(s):  
Rainer Kuefer ◽  
Matthias D. Hofer ◽  
Christoph Zorn ◽  
Bjoern G. Volkmer ◽  
Juergen E. Gschwend ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Predictive Value ◽  
Serum Biomarker ◽  
E Cadherin

Ethnicity Affects Triglycerides' Predictive Value

2008 ◽  
Vol 41 (1) ◽  
pp. 27
Author(s):  
DIANA MAHONEY
Keyword(s):  
Predictive Value

335 Predictive value of dipyridamole-dobutamine stress echocardiography test in hypertensive patients

1999 ◽  
Vol 1 ◽  
pp. S58-S58
Author(s):  
J MILOSAVLJEVIC ◽  
M OSTOJIC ◽  
J MARINKOVIC ◽  
A DJORDJEVICDIKIC ◽  
I NEDELJKOVIC
Keyword(s):  
Predictive Value ◽  
Stress Echocardiography ◽  
Dobutamine Stress Echocardiography ◽  
Dobutamine Stress ◽  
Hypertensive Patients
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