scholarly journals Stature estimation from handprint measurements: an application to the medicolegal investigation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md. Asadujjaman ◽  
Md. Golzer Hossain ◽  
Md. Sohel Rana ◽  
Md. Zahidul Islam
Keyword(s):  
Linear Regression ◽  
Anthropometric Measurements ◽  
Multiple Regression Equation ◽  
Regression Equations ◽  
Human Beings ◽  
Bilateral Asymmetry ◽  
Stature Estimation ◽  
Medicolegal Investigation ◽  
Bangladeshi Population ◽  
The Right

Abstract Background The estimation of the stature of human beings is a major part of medicolegal investigation when only body parts are found. The study aimed to estimate the stature from different handprint measurements in a Bangladeshi population using statistical considerations. A sample of 200 young Bangladeshi adults (100 men and 100 women) with no physical disabilities participated in this study. Stature and seven anthropometric measurements were measured using standard anthropometric measurements. The bilateral asymmetry was tested using the independent t test. The Pearson’s correlation coefficient (R) between the stature and different handprint measurements was calculated. Consequently, the simple and multiple linear regression models were developed to estimate the stature from the handprint measurements. Results The bilateral asymmetry was statistically not significant (p > 0.05) in right and left handprints. Sex difference significantly (p < 0.05) influences the relationship between stature and handprint measurements. A positive and strong coefficient of correlation (R) value presents between stature and the handprint measurements. The right 2nd digit length in men (R = + 0.709, R2 = 0.502, SEE = ± 44.141 mm) and the right handprint length in women (R = + 0.552, R2 = 0.305, SEE = ± 49.074 mm) were the most reliable estimator of stature. However, when data were combined for both sexes, the right handprint length was identified as the most reliable estimator of stature with higher values of R (+ 0.777) and R2 (0.603), and a lower value of SEE (± 55.520). Multiple regression equation showed greater reliability than linear regression equations in stature estimation from handprint measurements in Bangladeshi population. Conclusions It was concluded that the estimation of stature from handprint measurements is possible and reliable. The findings of this study are very useful from the forensic and medicolegal point of view and can use to estimate the stature in Bangladeshi population.

scholarly journals . Reflection of individual typological properties in the tremorogram (Predicting the indicators of Rusalov’s test according to the indicators of the tremorogram)

2021 ◽  
Vol 11 (5) ◽  
pp. 213-222
Author(s):  
B. A. Lobasyuk ◽  
L. N. Akimova ◽  
A. N. Stoyanov ◽  
A. V. Zamkovaya
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Coefficients ◽  
Regression Equations ◽  
Target Feature ◽  
Left Hand ◽  
Right Hand ◽  
Postural Load ◽  
Significant Regression ◽  
The Right

Rationale for choosing. An increase in physiological tremor (Tr) in emotionally saturated situations is reflected not only in fiction, but also in scientific literature. In other words, tremors and emotional responses are interconnected. Purpose. To investigate the reflection of individual-typological properties in a tremorogram using V. M. Rusalov’s mathematical modeling. Material and methods. Tr was recorded using a linear transducer. Tr was recorded under postural load (arms extended forward). The sensor was alternately placed on the outstretched right and left arms in front of oneself, under conditions of “eyes open” (operative rest). The analysis of the tremorogram (TrG) files was carried out after the end of the study using the "Analist - 2" software according to the half - period analysis algorithm. To study the individual psychological characteristics of the personality, we used the method of determining the properties of the temperament by V.M. Rusalov. Each of the many indicators of Rusalov’s test selected in the analysis was considered as a target feature (Y-s), and the amplitudes and frequencies of TrG were considered as influencing variables (sets of X - s) and multiple linear regression equations of the form were built: The parameters of the amplitude and frequency of EEG rhythms were used as Xs. Own research. In multiple regression analysis of the influence of TrG indices of the right hand on the indices of Rusalov’s test, 12 statistically significant regression coefficients were determined, and 11 statistically significant regression coefficients for the left hand. After obtaining the diagnostic equations of multiple linear regression, describing the influence of TrG indicators on the indicators of Rusalov’s test, an attempt was made, using these equations, to obtain the indicators of Rusalov’s test, using the tremor indicators. On average, the% discrepancy between the determined and predicted indicators was 97.42% for the right hand, and 101.98 for the left. Conclusions. 1. With the use of diagnostic equation, it was possible to predict the indicators of psychological testing according to Rusalov’s test by the indicators of tremor of the right and left hands.2. Influence of Rusalov’s test indicators on TrG indicators were less in modulus than the influence of TrG indicators on the indicators of Rusalov’s  test, i.e. did not participate in the control of the mechanisms of TrG generation.3. The results obtained indicate that tremor indicators contain information about the subject-activity and communicative aspects of temperament according to V. M. Rusalov.

scholarly journals Comparison of Regression Equation and Friedewald’s Formula with Direct Measurement of Low-density Lipoprotein Cholesterol in Bangladeshi Population

2013 ◽  
Vol 6 (1) ◽  
pp. 143-152
Author(s):  
M. Saiedullah ◽  
N. Chowdhury ◽  
M.A.H. Khan ◽  
S. Hayat ◽  
S. Begum ◽  
...  
Keyword(s):  
Linear Regression ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Regression Equation ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Regression Equations ◽  
Validation Group ◽  
Low Density Lipoprotein Cholesterol ◽  
Bangladeshi Population

Friedewald’s formula (FF) is the most widely used formula in clinical practice to calculate low-density lipoprotein cholesterol (LDLC) from total cholesterol (TC), triglyceride (TG) and high-density lipoprotein cholesterol (HDLC). But this formula frequently underestimates LDLC. The aim of this study was to derive a regression equation (RE) to abolish the underestimation and to compare the performance of RE and FF in Bangladeshi population. RE was derived from 531 lipid profiles (equation derivation group) for the calculation of LDLC by multiple linear regression analysis. The RE was then used to calculate LDLC in another 952 subjects (equation validation group). LDLC calculated by RE and FF were compared with measured LDLC by appropriate statistical analyses. In equation validation group, measured LDLC, LDLC calculated by RE and FF were 2.97±0.81, 2.91±0.80 and 2.72±0.93 mmol/L respectively. Precision (r) was 0.9525 for RE and 0.9193 for FF. Passing & Bablok linear regression equations against measured LDLC were y = 0.9792x + 0.007 for RE and y = 1.1412x – 0.6781 for FF. Accuracy within ±12% of measured LDLC was 79% and 57% for RE and FF, respectively. The derived RE is more accurate than FF for the calculation of LDLC in Bangladeshi population.  Keywords: Lipoprotein cholesterol; Friedewald’s formula; Bangladeshi population.  © 2013 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.  doi: http://dx.doi.org/10.3329/jsr.v6i1.14864 J. Sci. Res. 6 (1), 143-152 (2014)

scholarly journals PENGARUH FAKTOR-FAKTOR PRODUKSI TERHADAP TINGKAT KEUNTUNGAN PENGUSAHA KAYU DI KOTA BAUBAU

2019 ◽  
Vol 3 (2) ◽  
pp. 106-120
Author(s):  
Antasalam Ajo ◽  
La Ode Muhammad Harudin
Keyword(s):  
Linear Regression ◽  
Forest Products ◽  
Regression Equations ◽  
Human Beings ◽  
Main Factors ◽  
The City

To human beings, wood is a significant forest material. Without wood, people will have difficulties in meeting the living needs of wood and its production to have economic and sustainable quality. The goal of the analysis was to determine, partially and simultaneously, the effect of resources, the number of workers, the length of business and fuel on the profitability of wood-makers in the City of Baubau. The data obtained were analyzed with several linear regression equations T testing and F testing to measure the effect. The results showed that capital has a positive and significant impact on entrepreneurs ' income rates so that capital availability is very important. While the number of workers, the duration and the fuel volumes do not affect the profitability of wood entrepreneurs, the three variables were not taken into account as the main factors in increasing levels of profits. At the same time, the profitability of timber contractors did not affect resources, the number of employees, the duration of business and the amount of fuel. Adjusted R2 by 0.375 means that only 37.5% of the wood contractor's income is influenced by the factors measured in the report.   Keywords: Processed wood, forest products, profits

scholarly journals Estimation of Stature from Second and Fourth Digit Lengths in Young Adults

2019 ◽  
Vol 24 (3) ◽  
pp. 209-213
Author(s):  
Şükriye Deniz Mutluay ◽  
Memduha Gülhal Bozkır
Keyword(s):  
Young Adults ◽  
Correlation Coefficient ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Descriptive Analysis ◽  
Anthropometric Measurements ◽  
Regression Equations ◽  
P Values ◽  
Fourth Digit ◽  
The Right

Objectives: Estimating stature from long extremity bones, such as femur, humerus, is commonly usedduring forensic examinations. The aim of this study is to estimate stature by anthropometric measurements of right and left-hands second (2D) and fourth digit (4D) lengths. Method:The sample group consisted of 140 young adults, 70 male and 70 females (aged 21-19 years), whose 2D and 4D lengths were measured (using digital vernier caliper) of their left and right hands. One measurement was taken directly from landmarks from the proximal metacarpophalangeal crease to the finger tips. The program SPSS (Version 17.0) was used to make a descriptive analysis, Student’s t-test was usedto analyze the difference in height 2D and 4D between males and females. One-way ANOVA was usedto determine the potential interactions between anthropometric measurements within each other and stature. Pearson Correlation coefficient and related P values were also used. Statistical significance was assigned to p values <0.05. Linear and multiple regressions were also developed. Results:The differences between the right-and the left fingers length values were statistically significant for both sexes (p<0.001). In all, the measurements of males were significantly higher than females. The correlation coefficients between stature and the measurements of second and fourth digit were found to be positive and statistically significant. The highest correlation coefficient between stature and digit length for males regarded the right second digit (r=0.505), and for females, the left second digit (r=0.596). Regression equations were checked for accuracy by comparing the estimated stature and actual stature. Conclusion: Both regression models can...

COMPARISON OF STATURE AND FOOT LENGTH IN ADULTS IN SRMS IMS BAREILLY

2017 ◽  
Vol 2 (01) ◽  
Author(s):  
Priyanka Chahal ◽  
Jaswinder Singh
Keyword(s):  
Medical Students ◽  
Linear Regression ◽  
Long Bones ◽  
Regression Equations ◽  
Medical Sciences ◽  
Stature Estimation ◽  
Foot Length

Introduction: Estimation of stature plays an important role in forensic anthropometry as it helps in estimating the identity of an individual. Many studies for estimating the stature from measuring long bones, with derivation of formulas are there. The present study is an attempt to evaluate a possible correlation between stature of an individual and foot length in adults. Material and Methods: A sample of 100 medical students; 50 males and 50 females studying in Shri Ram Murti Smarak Institute of Medical Sciences was considered and measurements were taken for height and foot length. Result: It was found that both the parameters showed a correlation with each other. Mathematical formulae for estimating stature were developed through basic linear regression. Conclusion: It can be concluded that the present study has provided regression equations for stature and foot length of an individual that can be used for stature estimation.

scholarly journals Is cranial multi-detector computed tomography imaging valuable for stature estimation in Egyptian population?

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Rana Adel ◽  
Hala Mohamed Ahmed ◽  
Osama A. Hassan ◽  
Ehab A. Abdelgawad
Keyword(s):  
Computed Tomography ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Simple Linear Regression ◽  
Stature Estimation ◽  
Egyptian Population ◽  
Orbital Height ◽  
Multi Detector Computed Tomography

Abstract Background and objectives Stature estimation is an initial and essential component of any medico-legal investigations. However, it becomes more challenging when only skull remains are available. So, the goal of this study is to assess stature estimation using cranial multi-detector computed tomography (MDCT) images in a sample of the Egyptian population. Methods This clinical study was conducted on 150 Egyptian subjects underwent cranium MDCT with age ranged from 21 to 60 years. The measurements used were maximum cranial breadth, minimum frontal breadth, upper facial breadth, bizygomatic breadth, orbital height, orbital breadth, parietal chord, bimastoidale, maximum cranial length, basion-bregma height, cranial base length, and basion-prosthion length. Results The results revealed that stature and craniofacial measurements of males were significantly higher than those of females, all measurements were significantly positively correlated with stature in pooled cases, but the correlation coefficient differs in separate sex. Simple linear regression for stature estimation showed that the least standard error of estimate (SEE) values for the regression equations obtained when using bizygomatic breadth in pooled cases (7.9 cm) and in males only (5.7 cm), while in females using parietal chord had the least SEE (6.8 cm). Using multiple and stepwise regression analysis reported lower SEE values than simple linear regression analysis. Conclusion On the basis of this study, it is concluded that the cranial measurements obtained from MDCT images have limited utility in stature estimation among Egyptians, but could be used as an alternative method in cases where the best predictors, such as long bones, are not available.

Stature estimation from foot anthropometric measurements in Bangladeshi population

2019 ◽  
Vol 189 (1) ◽  
pp. 365-372 ◽  
Author(s):  
Md. Asadujjaman ◽  
Sk. Nahid Al Noman ◽  
Md. Babor Ali Molla
Keyword(s):  
Anthropometric Measurements ◽  
Stature Estimation ◽  
Bangladeshi Population

ACCESS TO EDUCATION WITH ONLINE LEARNING AND OPEN EDUCATIONAL RESOURCES: CAN THEY CLOSE THE GAP?

2008 ◽  
Vol 12 (1) ◽  
Author(s):  
Christine Geith ◽  
Karen Vignare
Keyword(s):  
Online Learning ◽  
Global Education ◽  
Open Educational Resources ◽  
Educational Resources ◽  
Access To Education ◽  
Human Beings ◽  
Right To Education ◽  
Education Gap ◽  
The Right ◽  
Compare And Contrast

One of the key concepts in the right to education is access: access to the means to fully develop as human beings as well as access to the means to gain skills, knowledge and credentials. This is an important perspective through which to examine the solutions to access enabled by Open Educational Resources (OER) and online learning. The authors compare and contrast OER and online learning and their potential for addressing human rights “to” and “in” education. The authors examine OER and online learning growth and financial sustainability and discuss potential scenarios to address the global education gap.

Chimeras In Time-Honored Societies

Think India ◽  
2019 ◽  
Vol 22 (2) ◽  
pp. 463-466
Author(s):  
TUMMALA. SAI MAMATA
Keyword(s):  
Major Elements ◽  
The Sun ◽  
Human Beings ◽  
Life Changes ◽  
Inner Self ◽  
The World ◽  
Nature And Nurture ◽  
The Individual ◽  
The Right ◽  
Superstitious Beliefs

A river flows serenely accepting all the miseries and happiness that it comes across its journey. A tree releases oxygen for human beings despite its inner plights. The sun is never tired of its duty and gives sunlight without any interruption. Why are all these elements of nature so tuned to? Education is knowledge. Knowledge comes from learning. Learning happens through experience. Familiarity is the master of life that shapes the individual. Every individual learns from nature. Nature teaches how to sustain, withdraw and advocate the prevailing situations. Some dwell into the deep realities of nature and nurture as ideal human beings. Life is a puzzle. How to solve it is a million dollar question that can never be answered so easily. The perception of life changes from individual to individual making them either physically powerful or feeble. Society is not made of only individuals. Along with individuals it has nature, emotions, spiritual powers and superstitious beliefs which bind them. Among them the most crucial and alarming is the emotions which are interrelated to others. Alone the emotional intelligence is going to guide the life of an individual. For everyone there is an inner self which makes them conscious of their deeds. The guiding force should always force the individual to choose the right path.  Writers are the powerful people who have rightly guided the society through their ingenious pen outs.  The present article is going to focus on how the major elements bound together are dominating the individual’s self through Rabindranath Tagore’s Home and the World (1916)

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