Sex estimation using discriminant analysis of hand dimensions among adult population in Ghana

Maalman, Raymond Saa-Eru; Donkor, Yaw Otchere; Ali, Mahamudu Ayamba; Korpisah, Joseph K.; Ampong, Kingsley

doi:10.1016/j.fsir.2021.100171

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…Additionally, the results obtained through the Monte Carlo simulation showed that the DA-OS scheme achieved a small CFAR loss of approximately 0.392 dB, relative to the average cell scheme (CA) in homogeneous radar return conditions with a possible detection of 0.5. These results outperform previous results and are in line with [20], [21], which used technological approaches in securing wildlife from human activity.…”

Section: Introductionsupporting

confidence: 88%

Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

Papilaya¹,

Suhendang²,

Jaya³

et al. 2021

TELKOMNIKA

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In natural resource management, it is necessary to group regions based on the similarity of their spatial and non-spatial characteristics, to efficiency and effectiveness Therefore, this study describes the re-grouping of the twelve island clusters established by the provincial government of Maluku into more homogeneous classes. The re-grouping was carried out based on the biophysical conditions of the regions, therefore, it could be used as the basis for determining the forest management units. The results showed that the twelve designated island clusters could be simplified to eight more homogeneous island clusters with 86.4% accuracy and 82.2 validation. It also showed that there were thirteen significant changes in the grouping of clusters of the island, including the horticultural crop area (Bf) and horticultural crop production (E). Moreover, when the island cluster is reclassified into 5 classes, the grouping would be more accurate, with 94.9% accuracy and 92.4% validation. This study concludes that there are two dominant factors in the classification of the island cluster in Maluku province namely, biophysical and social.

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Section: Introductionsupporting

confidence: 88%

Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

Papilaya¹,

Suhendang²,

Jaya³

et al. 2021

TELKOMNIKA

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“…[26,27] It can be seen in Figure 3. It is inconsistent with study carried out in Ghana, Maalman et al (2021). It was found that there is very good correlation between the length of left hand and right hand as well as breath of left and right hand of the respondents.…”

Section: Discussioncontrasting

confidence: 63%

“…Detailed about the data were given in Kumar et al [19] The hand index is described as the ratio between the handbreadth and the hand length multiplied by 100. [20][21][22] The distribution of the hand indices has been considered based on the standard Krogman hand indices classification which is described in a study conducted in Ghana and cited in Maalman et al [23] According to Chadra et al, the five classifications of the hand indices are: [22] A) Hyperdolicholicheri [40.9] B) Dolichocheri [41.0-43.9], C) Mesocheri [44.0-46.9], D) Brachycheri [47.0-49.9] and E) Hyperbrachycheri [50.0].…”

Section: Datamentioning

confidence: 99%

Determination of Gender using Discriminant Analysis of Hand Dimensions among Adult Participants

Rahman

Shukla

Mishra

et al. 2023

Indian J Community Health

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Background: The estimation of gender using hand dimensions is a crucial role in forensic investigation and legal sciences. Objectives: In this study, the mean score of hand measurements have been derived and linear discriminant analysis has been applied to predict gender from hand dimensions. An Independent t-test has been employed to know discrimination between male and female. The accuracy of gender estimation has been derived and checked by ROC curve. Material and Methods: A sample of 150 participants has been collected for the completion of this study, where 78 males and 72 females were found aged between 18 and 24 years. The breadths and lengths of left and right hands of the participants have been measured. Results: Respondents’ mean score of length and breadth of left hand were found 17.69 ± 1.30 and 7.56 ± 1.17, respectively. It was found to be significantly different in the respondents’ mean scores of males and females. Conclusions: The hand dimensions of males were higher than females. The prediction of a number of females and males were 76 and 74, respectively, and its accuracy was observed 0.87. This research can be applied for larger sample and would be helpful in predicting gender discrimination among adults through hand dimensions.

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“…The distribution of the hand indices have been considered based on the standard Krogman hand indices classi cation which is described in a study conducted in Ghana and cited in [23]. According to [22],the ve classi cations of the hand indices are:…”

Section: Datamentioning

confidence: 99%

Gender estimation using discriminant analysis of hand dimensions among adult participant1s

Shukla

Rahman

2022

Preprint

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Background: The estimation of gender using hand dimensions is crucial role in forensic investigation and legal sciences. Objectives: In this study, mean score of hand measurements have been derived and linear discriminant analysis has been applied to predict gender from hand dimensions. Independent t-test has been employed to know discrimination between male and female. Accuracy of gender estimation has been derived and checked by ROC curve. Data & Methods: A sample of 150 participants has been collected for the completion of this study, where 78 males and 72 females were found aged between 18 and 24 years. The breadths and lengths of left and right hands of the participants have been measured. Results: Mean score of length and breadth of left hand of respondents were found 17.69±1.30 and 7.56±1.17 respectively. It was found significantly different in mean score of male and female of the respondents. Conclusions: Hand dimensions of male were found higher than female. Prediction of number of females and males were 76 and 74 respectively, and its accuracy was observed 0.87. This study as beginner research and further it can be applied for larger sample and would be helpful in prediction of gender discrimination among adults through hand dimensions.

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Sex estimation using discriminant analysis of hand dimensions among adult population in Ghana

Cited by 5 publications

References 15 publications

Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

Quantitative approach for reclassification of the spatial cluster of archipelagos in Maluku Province for the basis of forest development

Determination of Gender using Discriminant Analysis of Hand Dimensions among Adult Participants

Gender estimation using discriminant analysis of hand dimensions among adult participant1s

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