Assessment of Palatal Rugae to Aid in Gender Identification in Hazaribag Population-A Cross-Sectional Study.

Background: This research paper aims to investigate the effectiveness of gender identification utilizing palatal rugae. Materials and Methods: The size of the sample that was selected included 100 people. They were made up of 50 men and 50 women, all in between the ages of 18 and 25. To examine their palatal rugae patterns, casts were made after taking maxillary impressions. Based on the size and rugae amount found on the left as well as the right sides, the palatal rugae patterns were investigated. Rugae patterns have been recognized based on the categorization provided by Thomas and Kotze (1983). Statistical Analysis: Chi-square analysis has been used. Results: There were comparative variations in the shape of rugae patterns among male and female individuals. The study revealed that the circular pattern was higher in males (P < 0.01) as compared to females and the unification pattern was comparatively greater in females (P < 0.05) as compared to males. The most predominant pattern that was seen in both genders was the wavy pattern that was seen to be present in 57.17% of males and 53.42% of females. The rugae number on the right and left sides did not exhibit any significant variations. Conclusions: This research thus exhibits a relevant difference in patterns of rugae and also confirms the uniqueness of patterns in each individual. Hence, it could be utilized as an adjunct to other tools for identification in the forensic sciences.

Palatal Rugoscopy: A Tool for Ethnicity and Gender Identification Among Saudi and Kuwaiti Populations.

Background The establishment of human identity has always been a concern after mass disasters, and the role of odontology in forensics has greatly evolved. Nowadays, palatal rugoscopy is a widely used method in the recognition of human identity due to its uniqueness in the course, direction, length, form, position, and enduring nature against disintegration. Its easy applicability, cost-effectiveness, and prompt results can be applied to festering, scorched bodies and in the absence of missing upper limbs and fingers. This study was undertaken to evaluate palatal rugoscopy as a tool to recognize human identity and gender between two different ethnic populations. Methodology A cross-sectional comparative study was conducted in the Department of Oral Maxillofacial Surgery and Diagnostic Sciences, Riyadh Elm University, Riyadh, Saudi Arabia, to recognize ethnicity and gender among the Saudi and Kuwaiti populations. A total of 364 participants were selected from the outpatient department between September 2022 and December 2022. All 364 participants were distributed into two groups after the application of inclusion and exclusion criteria. After obtaining informed consent from all study participants, study models were prepared for final interpretation. The outlining of rugae was done with the help of a sharp graphite pencil, and the assessment of various parameters, including total number, length, direction, unification, and shape of rugae, was done. A comparison was made between the two populations. SPSS version 26.0 (IBM Corp., Armonk, NY, USA) was employed to assess variations in the mean values of both the total number and the distribution of rugae on the right and left sides across different ethnic groups and genders. Results In this study, a total of 364 participants were included. Of the total participants, 184 were Saudis and 180 were Kuwaitis, with 188 males and 176 females. A comparative evaluation of rugae among ethnic groups showed that Saudi participants had a mean number of 8.92 ± 0.660 palatal rugae, whereas in Kuwaiti participants it was 8.68 ± 0.649 (p = 0.001). When rugae length was assessed between genders among Saudi participants, it was found that the majority of participants had primary rugae with a length of more than 5 mm, and the difference was statistically significant (p = 0.002). The majority of Saudi males had forwardly positioned rugae, while the majority of Saudi females had more backwardly placed rugae. When rugae length was assessed in males and females among Kuwaiti participants, it was found that males had more primary rugae than females. This study found that the majority of Kuwaiti males had a wavy shape of rugae, while the majority of Kuwaiti females had more straight rugae. Conclusions This study concluded that among the two ethnic groups, the total number, length, direction, unification, and shape of rugae were different between genders, with significant differences in some parameters. Therefore, palatal rugoscopy might be useful as a tool to recognize gender and ethnicity and may provide better results when used as an additional tool along with other dependable forensic tools.

A bi-annotated Malay-English code-switching (Manglish) dataset of X posts for biological gender identification and authorship attribution.

Low-resource languages, like Malay, face the threat of extinction when linguistic resources become scarce. This paper addresses the scarcity issue by contributing to the inventory of low-resource languages, specifically focusing on Malay-English, known as Manglish. Manglish speakers are primarily located in Malaysia, Indonesia, Brunei, and Singapore. As global adoption of second languages and social media usage increases, language code-switching, such as Spanglish and Chinglish, becomes more prevalent. In the case of Malay-English, this phenomenon is termed Manglish. To enhance the status of the Malay language and its transition out of the low-resource category, this unique text corpus, with binary annotations for biological gender and anonymized author identities is presented. This bi-annotated dataset offers valuable applications for various fields, including the investigation of cyberbullying, combating gender bias, and providing targeted recommendations for gender-specific products. This corpus can be used with either of the annotations or their composite. The dataset comprises of posts from 50 Malaysian public figures, equally split between biological males and females. The dataset contains a total of 709,012 raw X posts (formerly Twitter), with a relatively balanced distribution of 53.72% from biological female authors and 46.28% from biological male authors. Twitter API was used to scrape the posts. After pre-processing, the total posts reduced to 650,409 posts, widening the gap between the genders with the 56.88% for biological female and 43.12% for biological male. This dataset is a valuable resource for researchers in the field of Malay-English code-switching Natural Language Processing (NLP) and can be used to train or enhance existing and future Manglish language transformers.

Gender specific SNP markers in Coscinium fenestratum (Gaertn.) Colebr. for resource augmentation.

BACKGROUND: Unregulated extraction of highly traded medicinal plant species results in drastic decline of the natural resources and alters viable sex ratio of populations. Conservation and long-term survival of such species, require gender specific restoration programs to ensure reproductive success. However, it is often difficult to differentiate sex of individuals before reaching reproductive maturity. C. fenestratum is one of the medicinally important and overexploited dioecious woody liana, with a reproductive maturity of 15 years. Currently, no information is available to identify sex of C. fenestratum in seedling stage while augmenting the resources. Thus, the current study envisages to utilize transcriptomics approach for gender differentiation which is imperative for undertaking viable resource augmentation programmes. METHODS AND RESULTS: Gender specific SNPs with probable role in sexual reproduction/sex determination was located using comparative transcriptomics approach (sampling male and female individuals), alongside gene ontology and annotation. Nine sets of primers were synthesized from 7 transcripts (involved in sexual reproduction/other biological process) containing multiple SNP variants. Out of the nine primer pairs, only one SNP locus with no available information of its role in reproduction, showed consistent and accurate results (males-heterozygous and females-homozygous), in the analyzed 40 matured individuals of known sexes. Thus validated the efficiency of this SNP marker in differentiating male and female individuals. CONCLUSIONS: The study could identify SNPs linked to the loci with apparent role in gender differentiation. This SNP marker can be used for early sexing of seedlings for in-situ conservation and resource augmentation of C. fenestratum in Kerala, India.

Comparative analysis of cheiloscopy, pulpal tissue and fingerprint for gender identification.

Background: The most important step in identifying an unknown person is determining one's gender and as a dentist, the oral tissues are potential sources of information in this aspect. A study was carried out to assess and evaluate the accuracy of cheiloscopy, pulp tissue, and fingerprints in determining gender. Material and Methods: A study comprising of 160 individuals (80 males and 80 females) was conducted. After obtaining informed written consent and recording their bio-data; lip prints, and fingerprints were recorded. The patients' extracted tooth was collected, their pulp extirpated, for assessment of the Barr body. Results: We found that every lip pattern was unique and hence can be used to identify an unknown individual. The occurrence of the Barr body was determined, and all female samples were found to be positive for the existence of the Barr body. In fingerprint patterns, a significant difference was noted between both sexes with ulnar loops and whorl patterns only. A highly significant difference was observed in the fingerprint ridge density between genders. Conclusions: We conclude that the Barr body in pulpal tissue can be considered as the best possible technique for gender determination within the dental tissues. Lip prints did not show any differences in genders and had no role to play in gender determination. Fingerprint ridge density can also be used to determine gender.

Amplification Failure of the Amelogenin X Gene Caused by a Rare Mutation in the Primer-Binding Region.

The study of gender markers is essential in forensic genetic analysis. Mutations in the X or Y homologs of the amelogenin gene can be misleading, resulting in serious mistakes in forensic genetic analysis. We recently discovered two male cases of the X homolog of the amelogenin (AMELX) allelic dropout while analyzing short tandem repeat genotypes obtained from crime scene evidence. Subsequently, we evaluated the molecular characteristics of AMELX allelic dropout in this study. We used two previously reported amelogenin primers to verify a half level of amelogenin gene amplification intensity in the two male cases, which we confirmed was caused by AMELX allelic dropout. We then characterized the point mutation using Sanger sequencing and designed mutation-specific primers that could overcome AMELX allelic dropout. Short tandem repeat genotyping analysis confirmed that the AMELX allelic dropout was recovered by the mutation-specific primer designed specifically for this case. The sequencing of the AMELX allele revealed a single-point variant from A→G at base position 7 downstream from the 3' end in the amelogenin forward primer-binding region. This point mutation was identically found in two different male cases, resulting in AMELX allelic dropout. To our knowledge, these mutations and the X homolog amplification failure of amelogenin have not been reported in the Korean population. Our study provides a reliable approach to AMELX allelic dropout due to rare case mutations and could enable the better interpretation of gender markers for forensic samples.

Dynamics of single mothers' semantic strategies in Anglophone non-fiction.

The article discusses how the increasing number of self-help books for single mothers is meeting the demand for positive narratives about their experiences, which are often stereotyped in the media. The books offer a powerful tool for self-reflection, and content analysis reveals semantic strategies that authors use to construct, negotiate, and reframe single motherhood. The authors aim to challenge societal expectations and redefine what constitutes a family. There are still conflicting messages that perpetuate negative stereotypes and stigmas about single mothers, propelling identity negotiation. The seven principal semantic strategies applied in the texts include reframing, renaming, normalization, direct or indirect confrontations, distinctions, self-labelling, and vernacular. By using semantic strategies, authors aim to empower single mothers, challenge negative stereotypes, and create a sense of community. While there are limitations to the self-help genre, it remains a powerful tool for self-reflection, self-empowerment, and the construction of identity.

How can gender be identified from heart rate data? Evaluation using ALLSTAR heart rate variability big data analysis.

OBJECTIVE: A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it would be. RESULTS: Ten dimensional statistics were extracted from the heart rate data of more than 420,000 people, and gender identification was performed by various major identification methods. Lasso, linear regression, SVM, random forest, logistic regression, k-means, Elastic Net were compared, for Age < 50 and Age ≥ 50. The best Accuracy was 0.681927 for Random Forest for Age < 50. There are no consistent difference between Age < 50 and Age ≥ 50. Although the discrimination results based on these statistics are statistically significant, it was confirmed that they are not accurate enough to determine the gender of an individual.

Gender Identification Beyond the Binary and Its Consequences for Social Well-Being.

Recent societal initiatives (e.g., gender-neutral toilets, clothing, and language) highlight the ongoing shift of gender away from binary categories: "man" and "woman." We identified and investigated two reasons for this shift: that many people may not identify with strictly binary categories and that this may have negative social consequences. Employing a multiple-identification model, we measured intergroup self-categorization with both men and women (Studies 1 and 2), as well as with a "third gender" (Study 3) and investigated how multiple identifications are related to social well-being (Studies 2 and 3). In Study 1 (N = 182, mean age = 32.74, 121 women), we found that a binary model was not the best fit for our gender identification data. In Study 2 (N = 482, mean age = 30.98, 240 AFABs), we found four clusters of gender identification, replicating previous research. Furthermore, we found that gender non-conforming participants reported being less able to be their authentic selves than binary participants. We also found that participants who identified lowly with both binary genders reported lower well-being in general (belongingness, self-esteem, life satisfaction, positive affect). In Study 3 (N = 280, mean age = 36.97, 140 AFABs), we found that asking about a third gender seemed to change how much participants reported identifying with men and women. We also found that gender non-conforming participants reported lower authenticity, belongingness, and self-esteem. We conclude that moving away from binary categories of gender may be beneficial to many non-conforming people of different nationalities, including cisgender, heterosexual people.

A Gait-Based Real-Time Gender Classification System Using Whole Body Joints.

Gait-based gender classification is a challenging task since people may walk in different directions with varying speed, gait style, and occluded joints. The majority of research studies in the literature focused on gender-specific joints, while there is less attention on the comparison of all of a body's joints. To consider all of the joints, it is essential to determine a person's gender based on their gait using a Kinect sensor. This paper proposes a logistic-regression-based machine learning model using whole body joints for gender classification. The proposed method consists of different phases including gait feature extraction based on three dimensional (3D) positions, feature selection, and classification of human gender. The Kinect sensor is used to extract 3D features of different joints. Different statistical tools such as Cronbach's alpha, correlation, t-test, and ANOVA techniques are exploited to select significant joints. The Coronbach's alpha technique yields an average result of 99.74%, which indicates the reliability of joints. Similarly, the correlation results indicate that there is significant difference between male and female joints during gait. t-test and ANOVA approaches demonstrate that all twenty joints are statistically significant for gender classification, because the p-value for each joint is zero and less than 1%. Finally, classification is performed based on the selected features using binary logistic regression model. A total of hundred (100) volunteers participated in the experiments in real scenario. The suggested method successfully classifies gender based on 3D features recorded in real-time using machine learning classifier with an accuracy of 98.0% using all body joints. The proposed method outperformed the existing systems which mostly rely on digital images.

Intention to Screen for Hepatitis C Among University Students: Influence of Different Communicative Scenarios.

This study aimed to evaluate the influence of different narrative scenarios regarding students' intentions to undergo diagnostic screening for hepatitis C, and whether gender identification with the characters of the scenario could influence the students' intentions to undergo a medical test. A sample of 600 participants was administered three narrative scenarios with different frames (positive, negative, and ambivalent), including two gender options (male and female) for the main character of the story. A statistically significant three-way interaction between scenario, gender identification, and time resulted. There were significant simple main effects on the intention to have a diagnostic test for hepatitis C for the scenarios with the protagonist of the same gender as the participant and after the administration of the negative scenario. The use of a negative scenario with the same gender character was always more effective than the use of a positive framed scenario, even though there was a high level of knowledge regarding the disease. Personal diagnostic testing was not directly associated with knowledge regarding the infection. The findings of this study can ultimately help policymakers develop communication campaigns adapted to target populations such as college students, in order to raise awareness of the risk, promote prevention and behavioral change, and encourage medical screening.

Proteomics reveals gender differences in physiological characteristics of the gonads and tube feet of the sea cucumber, Apostichopus japonicus.

The sea cucumber Apostichopus japonicus is an important aquaculture species in China because of its high nutritional and medicinal values. Gender, as a factor affecting the physiology of organisms, is always considered when improving the breeding efficiency of economically important animals. In the present study, protein expression profiles of the gonads and tube feet of male and female A. japonicus were investigated using a comparative proteomics approach. A set of 7499 proteins were identified, which covered a broad range of functions based on function annotations. A significant difference in protein expression profiles was observed between the gonads and tube feet of A. japonicus; gonads showed more apparent gender differences than tube feet. Moreover, the findings revealed that male A. japonicus had more specific functions and most of these functions were associated with energy consumption. Further analyses suggested that the regulation of ERK activity and the capacity of tyrosine production and virus immunity might be more powerful in male and female A. japonicus, respectively. Some candidate proteins were also recognized as potential targets for gender identification of A. japonicus. Overall, our study provides new insights into the understanding of molecular mechanisms underlying gender-based physiological differences in A. japonicus. SIGNIFICANCE: The current study aimed to reveal gender differences in the physiological characteristics of gonads and tube feet of the sea cucumber A. japonicus. To the best of our knowledge, this is the first proteomics study to analyze the differences in the protein expression profiles of external organs between male and female A. japonicus. The analysis revealed gender differences in the protein expression profiles of both gonads and tube feet of A. japonicus, and the gender differences in gonads were quite apparent. Moreover, according to the recognition of differentially expressed proteins and the enrichment analyses based on Kyoto Encyclopedia of Genes and Genomes, a draft view of how the physiological functions of A. japonicus were affected by gender was obtained. Male A. japonicus could have more specific functions related to energy consumption than females. The regulation of ERK activity and virus immunity might be more robust in male and female A. japonicus, respectively. Some candidate proteins were also recognized as potential targets for gender identification of A. japonicus. The findings presented here will improve the understanding of researchers about the molecular mechanisms underlying gender-based differences in A. japonicus and contribute to the meticulous breeding of A. japonicus.

Toothbrushes as a Source of DNA for Gender and Human Identification-A Systematic Review.

BACKGROUND: Few studies have reported the use of toothbrushes as a reliable source of DNA for human or gender identification. The present systematic review with the available information was conducted to answer the focus question "Is a toothbrush a reliable source of DNA for human or gender identification?". METHODS: The keyword combination "Toothbrush" and "DNA" was used to search databases including MEDLINE, Scopus, and Web of Science along with a manual search of reference lists of relevant articles. Duplicates and irrelevant articles were excluded, and the remaining articles were fully read for the final selection of articles. The risk of bias of the included studies was evaluated using the Appraisal tool for Cross-Sectional Studies (AXIS tool). RESULTS: Of the 130 articles obtained, 122 duplicates or irrelevant articles were eliminated. Following the full-text reading of eight articles, five articles were selected based on eligibility criteria. The five studies reported that a toothbrush is a good source of DNA irrespective of the time interval. In a few studies some samples were not sufficient for complete DNA profiling due to factors such as the method of DNA extraction. CONCLUSION: Although a toothbrush is an excellent source of DNA for human and gender identification, future studies with a larger sample size, appropriate control group, and standardized technique of DNA extraction need to be conducted. Additionally, factors influencing the quantity and quality of DNA in toothbrushes need to be determined with standardized techniques.

Hierarchical Classification of Event-Related Potentials for the Recognition of Gender Differences in the Attention Task.

Research on the functioning of human cognition has been a crucial problem studied for years. Electroencephalography (EEG) classification methods may serve as a precious tool for understanding the temporal dynamics of human brain activity, and the purpose of such an approach is to increase the statistical power of the differences between conditions that are too weak to be detected using standard EEG methods. Following that line of research, in this paper, we focus on recognizing gender differences in the functioning of the human brain in the attention task. For that purpose, we gathered, analyzed, and finally classified event-related potentials (ERPs). We propose a hierarchical approach, in which the electrophysiological signal preprocessing is combined with the classification method, enriched with a segmentation step, which creates a full line of electrophysiological signal classification during an attention task. This approach allowed us to detect differences between men and women in the P3 waveform, an ERP component related to attention, which were not observed using standard ERP analysis. The results provide evidence for the high effectiveness of the proposed method, which outperformed a traditional statistical analysis approach. This is a step towards understanding neuronal differences between men's and women's brains during cognition, aiming to reduce the misdiagnosis and adverse side effects in underrepresented women groups in health and biomedical research.

Detection and analysis of null alleles of amelogenin in gender identification.

In this study, we located eight samples with null alleles of amelogenin out of 10,750 cases, and discussed the influence in gender identification and forensic personal identification. Amelogenin was detected and retested by several autosomal STR kits and sex chromosomal STR kits, and the causes were analyzed by chromosome karyotype analysis and Y chromosome microdeletion detection if necessary. Suspected AMEL-X loss was observed in five samples, but no abnormality was detected in the X-STR loci. AMEL-X was recovered when samples were retested by other detection systems designed with different primers. One sample had AMEL-X and X-STR loci loss, and the karyotype was chimeric 45,X0[70]/46,X,+mar[13].Two male samples lost AMEL-Y fragment, and both of them lost DYS522-DYS570-DYS576 loci, but no abnormalities were found in the STS loci of SRY and AZF regions. Therefore, when carrying out gender identification by using amelogenin, it is essential to focus on null alleles of amelogenin. In especially, deal with the samples collected from the individuals who had chromosomal hereditary disorders(e.g. Turner Syndrome and Oligospermia / Azoospermia). In order to achieve this, laboratories should have various techniques to verify the null alleles of amelogenin and ensure accurate genotyping. Accurate genotyping of amelogenin and DNA database establishment are vital for personal identification.

Simple Nested Allele-Specific approach with penultimate mismatch for precise species and sex identification of tiger and leopard.

Accurate species and sex identification of non-invasive and forensic samples of the tiger and leopard is still confusing when using the allele-specific methods. We designed allele-specific methods with penultimate nucleotide mismatch in a nested manner for the exact identification and double-checking of forensic samples. The mismatch design is a novel concept in species and sex identification, making the allele-specific targeting precise. We developed three sets of markers, a 365 bp outer and a 98 bp inner marker for nested tiger species identification assay, 136 bp leopard specific marker, and carnivore sex identification markers. We validated the method with tissue/blood forensic samples of various felids and herbivorous available in our lab and on known fecal samples from Vandalur Zoo. We also collected 37 scat samples at diverse stages of deterioration from the Mudumalai Tiger Reserve, Tamil Nadu, India. The 365 bp targeted markers resulted in 70.2% (n = 22; 22/37) amplification success, while the 98 bp FAM-labelled marker amplified 89% (n = 33; 33/37) scat samples independently. The 136 bp leopard markers answered four scat samples (11%) unrequited by the tiger specific markers. We evaluated species and the sex identification with these markers in another 190 non-invasive samples provided by the Mudumalai Tiger Reserve authorities. Among which 56.3% (n = 107) of samples were recognized as tiger (64 male and 43 female) and 38.9% (n = 74) as leopard (41 male and 33 female). The method supersedes any other previous methods in this regard by its high accuracy and simplicity.

Efficacy of two primer sets used in the sex identification of rufous-winged buzzard (Butastur liventer).

BACKGROUND: The rufous-winged buzzard (Butastur liventer) belongs to the order Accipitriformes, which is monomorphic, resulting in the difficulty to identify the gender. However, sex determination is important for predicting the sex ratio of this buzzard in nature in order to avoid its extinction. AIM: We aimed to develop a primer set that is able to sex the rufous-winged buzzard through polymerase chain reaction (PCR) amplification and compare the efficacy of the two sets of primers by using PCR technique. METHODS: In the following, sensitivity refers to the smallest DNA concentration that allowed us to accurately sex a bird and specificity refers to the ability to clearly distinguish the sex based on the visual appearance of the bands. Blood samples were collected from captive buzzards. The DNA was extracted from them and was diluted to 50, 25, 10, 5, 2.5, 1.67, and 1 ng/µl. Two sets of primers, including P2/NP/MP and 2550F/2718R, were used to amplify the chromo-helicase DNA binding (CHD) gene of known gender buzzards using the PCR process to determine gender and to compare their sensitivity. To measure specificity, both primers were used to amplify CHD gene fragment of other unknown gender birds. RESULTS: The lowest concentration of the DNA template where P2/NP/MP could amplify DNA fragments was 1 ng/µl, and this set of primers could identify the gender of all birds correctly, giving 100% specificity. On the other hand, the 2550F/2718R could amplify the DNA fragments from 5 ng/µl, and it had only 78% specificity. CONCLUSION: The P2/NP/MP primer set was able to correctly identify the gender of rufous-winged buzzard through PCR amplification with high specificity and sensitivity.

Role of crustacean female sex hormone (CFSH) in sex differentiation in early juvenile mud crabs, Scylla paramamosain.

Recent studies have shown that crustacean female sex hormone (CFSH) is involved in the development of reproductive phenotype. In the present study, observation of sexually dimorphic traits revealed that gender could be distinguished from the third stage juveniles onwards in the mud crab, Scylla paramamosain. Sp-cfsh expression levels were analyzed in early juveniles. The results showed that, Sp-cfsh expression levels differed among individuals at post-molt of the first stage and second stage, and significantly different between the two sexes at post-molt of the third stage, which suggested that Sp-cfsh might participate in the sex differentiation in early juveniles. The expression of Sp-cfsh was examined during the molting cycle at the third stage juveniles, and the results showed that it was highest at the pre-molt stage. Based on the results, the expression of Sp-cfsh at pre-molt stage was further analyzed between the sexes from the third stage to the fifth stage, and it was found that the expression of Sp-cfsh was similar between two sexes at the third stage and the fourth stage; whereas at the fifth stage, when the gonopores occurred, the expression of Sp-cfsh significantly increased in females but decreased in males; suggesting that the expression of Sp-cfsh could influence the formation of gonopores. Finally, the role of Sp-cfsh in the reproductive phenotypes was confirmed through RNA interference knockdown. The combined results suggest that CFSH is involved in the regulation of sex differentiation of early juvenile in S. paramamosain.

Gender identity relevance predicts preferential neural processing of same-gendered faces.

The very early perceptional processes that underlie social categorization can be detected with event-related brain potentials (ERPs). Using this methodology, the present work aims to detect differential attentional processing of ingroup and outgroup members based on gender categories. Specifically, three EEG studies tested how factors that enhance social identity relevance, namely gender identification and contextual salience of gender representation, moderate neural gender categorization effects. Study 1 showed that both women (Study 1a) and men (Study 1b) were more likely to show preferential attention to ingroup over outgroup members, but only when they identified strongly with their gender group. Study 2 showed that when gender categories in an intergroup leadership context were made salient (i.e., when women were numerically underrepresented versus equally represented compared to men), women, irrespective of their level of gender identification, showed preferential attention to ingroup over outgroup members. Together, this work provides empirical evidence for (1) the neural gender categorization effect among both men and women as soon as 100 ms after face perception and (2) the moderating role of factors that enhance social identity relevance in early gender categorization.

Deep Iris: Deep Learning for Gender Classification Through Iris Patterns.

INTRODUCTION: One attractive research area in the computer science field is soft biometrics. AIM: To Identify a person's gender from an iris image when such identification is related to security surveillance systems and forensics applications. METHODS: In this paper, a robust iris gender-identification method based on a deep convolutional neural network is introduced. The proposed architecture segments the iris from a background image using the graph-cut segmentation technique. The proposed model contains 16 subsequent layers; three are convolutional layers for feature extraction with different convolution window sizes, followed by three fully connected layers for classification. RESULTS: The original dataset consists of 3,000 images, 1,500 images for men and 1,500 images for women. The augmentation techniques adopted in this research overcome the overfitting problem and make the proposed architecture more robust and immune from simply memorizing the training data. In addition, the augmentation process not only increased the number of dataset images to 9,000 images for the training phase, 3,000 images for the testing phase and 3,000 images for the verification phase but also led to a significant improvement in testing accuracy, where the proposed architecture achieved 98.88%. A comparison is presented in which the testing accuracy of the proposed approach was compared with the testing accuracy of other related works using the same dataset. CONCLUSION: The proposed architecture outperformed the other related works in terms of testing accuracy.