Identity Recognition Research Articles

Self-determination and self-affirmative paths of trans* and gender diverse people in Portugal: Diverse identities and healthcare

Abstract Background Trans* and gender diverse (TGD) people are very heterogeneous. While legal contexts and healthcare practices have been growingly endorsing self-determination and consent for gender affirmative care in some countries, gender affirmation trajectories need to be understood as unique and fluid processes, constructed and negotiated by each individual in a given social and cultural context. This study aimed to characterize diverse profiles of TGD people in Portugal, regarding individual choices and trajectories in social, legal, and medical gender affirmative processes. Methods A questionnaire, first developed in France and used in Brazil, Italy, Norway, and Chile, was adapted to the Portuguese context. The conducted survey is comprised of 120 questions, organized into six sections: 1) sociodemographic variables; 2) gender affirmation processes and medical and psychological care; 3) general health and sexual health; 4) mental health; 5) sexuality and sexual concerns; 6) experiences of discrimination and gender identity. Data were collected from a convenience sample of 115 adults who identified as TGD. Content analysis was performed on the written responses, and later categorized. Results Approximately 21% of people identified as men, 17% as trans men, 7% as women, 12% as trans women, 26% as non-binary persons, and 17% as agender or other identifications. Differences were calculated among profiles of TGD participants and their choices for affirmative care, social, and legal transition, revealing an association between the way people self-identify and the request for legal recognition of gender identity, as well as the choices of procedures (or aspirations) for medical affirmation (i.e., hormonal treatments, top surgery, bottom surgery). Conclusions The provision of health care practices consistent with the principles of self-determination requires training of health care professionals and adjustment of public policies, to allow for unique trajectories and profiles.

From Social Media to Public Health: The Role of Identity Recognition in Post-Pandemic Information Dissemination

With social media becoming an essential platform for public health information communication, the impact of identity on the effectiveness of information dissemination in social media has received increasing attention. This study aimed to explore the relationship between identity factors in social media and the effectiveness of public health news dissemination. Different social media user identities have different effects and concerns on public information communication, and the identity backgrounds of bloggers have different perspectives on public health information communication. The findings help to identify the effects of different identities in public health communication and provide possible research ideas and perspectives for future researchers.

The potential of intersectional and reciprocal approaches in the education of newcomer students

ABSTRACT This study addresses the challenges faced by newcomer students in the host country’s education system. It emphasizes the importance of creating learning communities around these learners. To achieve this goal, we assisted various stakeholders including parents and educators in transcending language differences by examining each other’s educational system. Our approach aimed to cultivate positive identities within the context of transnational experiences, highlighting mobility as an asset in the host school system, challenging the prevailing deficit-oriented view of migration. Grounded in critical interculturalism and social justice principles, we studied STEM curricula from students’ home countries and created resources to encourage dialogue among school stakeholders. We proposed workshops for teachers and parents, emphasizing the recognition of intersectional identities and promoting reciprocal knowledge. Results show the effectiveness of intersectionality in understanding the complexities of individual trajectories while reciprocal knowledge revealed essential in fostering mutual understanding between families and teachers. Ultimately, the research seeks to revitalize literacy engagement for English Language Learners in STEM, promoting inclusivity and equity in education.

Urban Challenges Faced by the Hijra Community

This research focuses on the challenges faced by the hijra community in urban India, touching upon issues such as economic marginalization, discrimination, and the point of intersection between religion and caste, all within the LGBTQ+ context. Hijras are individuals who are born biologically male, and identify as trans women, and live in small, secretive communities across South Asia, forming a very distinctive cultural group. This study draws on in-depth interviews with two members of the hijra community in Mumbai, India, offering a first-hand account of their struggles. The findings of this research revealed that many members of the hijra community confine themselves to low-income hustles such as begging, or sex work, due to rampant discrimination that exists in the heteronormative post-colonial South-Asian societies. This also contributes to their lack of access to healthcare, safe housing, protection from hate crimes, and a declining mental health on a community-wide level. Despite legal progress, many challenges related to identity recognition and humanizing the community persist. This introductory article thus advocates for various empowerment initiatives to facilitate a more inclusive and equitable environment for hijra individuals in urban India.

A Security Conundrum: Kin-State Engagement, Identity Recognition, and the 2012 Dispute between Romania and Serbia

Abstract This article examines the relationship between national identity and foreign policy in the context of kin-state engagement in Europe. While the engagement of many European states with their ethnic kin abroad has been long defended as a form of minority protection in so far as it protects and promotes their particular identity and culture, de facto considerations of state security that define its scope have received little attention in the international relations (IR) scholarship. I show here that already in 2012 the dispute between Romania and Serbia over the identity and accommodation of the Vlach minority in Serbia is a conspicuous case in which considerations of (kin-)state security rather than minority protection have overtly justified the engagement of the kin-state. In fact, I argue that this case study calls attention to the multiplying significance of national identity for a kin-state: as a source of obligations, as well as one of (kin-)state ontological security. Yet, in this article, the contextual exploration highlights a tension between the two that originates in a lack of congruity between kin-state identity politics and home-state multiculturalism. While it appears to be unappeasable, in agreement with some constructivist IR scholarship, I contend that it could be reconciled. To this end, this article examines the scope of kin-state engagement at the intersection between justice and security and endorses the necessity to reconceptualize a state’s ontological security as a capability to adapt to a changing normative environment in Europe.

Unsupervised Domain Adaptation via Spatial Pattern Alignment for VEP-Based Identity Recognition

Unsupervised Domain Adaptation via Spatial Pattern Alignment for VEP-Based Identity Recognition

A Biometric Identification for Multi-Modal Biomedical Signals in Geriatric Care

With the acceleration of global population aging, the elderly have an increasing demand for home care and nursing institutions, and the significance of health prevention and management of the elderly has become increasingly prominent. In this context, we propose a biometric recognition method for multi-modal biomedical signals. This article focuses on three key signals that can be picked up by wearable devices: ECG, PPG, and breath (RESP). The RESP signal is introduced into the existing two-mode signal identification for multi-mode identification. Firstly, the features of the signal in the time–frequency domain are extracted. To represent deep features in a low-dimensional feature space and expedite authentication tasks, PCA and LDA are employed for dimensionality reduction. MCCA is used for feature fusion, and SVM is used for identification. The accuracy and performance of the system were evaluated using both public data sets and self-collected data sets, with an accuracy of more than 99.5%. The experimental data fully show that this method significantly improves the accuracy of identity recognition. In the future, combined with the signal monitoring function of wearable devices, it can quickly identify individual elderly people with abnormal conditions, provide safer and more efficient medical services for the elderly, and relieve the pressure on medical resources.

Horizontal face information is the main gateway to the shape and surface cues to familiar face identity.

Humans preferentially rely on horizontal cues when recognizing face identity. The reasons for this preference are largely elusive. Past research has proposed the existence of two main sources of face identity information: shape and surface reflectance. The access to surface and shape is disrupted by picture-plane inversion while contrast negation selectively impedes access to surface cues. Our objective was to characterize the shape versus surface nature of the face information conveyed by the horizontal range. To do this, we tracked the effects of inversion and negation in the orientation domain. Participants performed an identity recognition task using orientation-filtered (0° to 150°, 30° steps) pictures of familiar male actors presented either in a natural upright position and contrast polarity, inverted, or negated. We modelled the inversion and negation effects across orientations with a Gaussian function using a Bayesian nonlinear mixed-effects modelling approach. The effects of inversion and negation showed strikingly similar orientation tuning profiles, both peaking in the horizontal range, with a comparable tuning strength. These results suggest that the horizontal preference of human face recognition is due to this range yielding a privileged access to shape and surface cues, i.e. the two main sources of face identity information.

An approach to formalization of WEEE informal collectors: Collection model under a membership-based community

Informal collectors’ formalization has become a key challenge that developing countries such as China face in governing informal recycling. This study establishes an innovative collection model of waste electrical and electronic equipment (WEEE) under the membership community operation system, which integrates waste merchants into the formal recycling system in the form of members. Based on a Bass model of membership community development and an evolutionary game model between recyclers and waste merchants, respectively, this study uses system dynamics theory to simulate and analyze the model’s implementation effectiveness and influencing factors. We find that the membership community’s interpersonal promotion and customer relationship management strategies can increase waste merchants’ membership rate and membership loyalty, which is an effective way to incorporate waste merchants into the formal recycling system. Waste merchants’ main interest demands in the formalization process are to gain economic benefits and identity recognition, which motivate them to become members. Membership’s transaction cost establishes a long-term cooperative relationship between waste merchants and recyclers in the form of an economic contract. However, the potential losses from information sharing are the key factor restricting waste merchants from enrolling as members, which has also become the main obstacle to their formalization. This study provides a new theoretical and empirical basis for informal collectors’ formalization, which has important practical significance for WEEE recycling and management in developing countries.

Advancing Human-Computer Interaction: Smartphone-Integrated POF Speckle Sensor for Gesture and Identity Recognition

Advancing Human-Computer Interaction: Smartphone-Integrated POF Speckle Sensor for Gesture and Identity Recognition

Enhancement of eye socket recognition performance using inverse histogram fusion images and the Gabor transform

AbstractThe eye socket is a cavity in the skull that encloses the eyeball and its surrounding muscles. It has unique shapes in individuals. This study proposes a new recognition method that relies on the eye socket shape and region. This method involves the utilization of an inverse histogram fusion image to generate Gabor features from the identified eye socket regions. These Gabor features are subsequently transformed into Gabor images and employed for recognition by utilizing both traditional methods and deep‐learning models. Four distinct benchmark datasets (Flickr30, BioID, Masked AT & T, and CK+) were used to evaluate the method's performance. These datasets encompass a range of perspectives, including variations in eye shape, covering, and angles. Experimental results and comparative studies indicate that the proposed method achieved a significantly () higher accuracy (average value greater than 92.18%) than that of the relevant identity recognition method and state‐of‐the‐art deep networks (average value less than 78%). We conclude that this improved generalization has significant implications for advancing the methodologies employed for identity recognition.

Refusing Gender: Intimate (Mis)Recognition of Gender Identity and Its Relation to Family Instabilities

This study extends the literature on the impact of the family of origin on gender identity by theorizing about refusing gender. We define refusing gender as the intimate refusal of gender identity by family members that is perceived as intentional and deliberate by transgender and nonbinary people in the United States. In this article, we demonstrate how refusing gender is intimate, perceived as intentional, embedded within existing family instabilities, and disruptive of family relationships. This study is based on interviews from a racially diverse group of 25 transgender and nonbinary adults in Texas, half of whom report high rates of adverse childhood experiences (ACEs). Findings contribute to gender theory by revealing the importance of the family in recognizing gender identity. This research makes novel connections between existing family instability, including histories of abuse, and gender refusal. We embed gender recognition within persistent family dynamics, including long-standing family instabilities and family violence, arguing that these family dynamics persist in the lives of adult children. Overall, these findings demonstrate how cisnormativity is reproduced in family life, filling significant gaps in theorizing about transgender and nonbinary family life.

The Multiple Dimensions of Space: Spatial Narrative Types and Socio-Cultural Mapping in New Century Chinese Novels

This study explores how spatial narratives in new-century Chinese novels reflect and engage with China's rapidly changing socio-cultural landscape. Since the mid-1990s, China's accelerated marketization and globalization have profoundly altered traditional lifestyles and public aesthetics, significantly influencing literary creation. How do contemporary Chinese novelists employ spatial narratives to represent these changes, and what insights do these narratives offer into modern Chinese society? Employing textual analysis grounded in Lefebvre's spatial theory and Soja's Thirdspace concept, this paper examines the manifestations and functions of physical, psychological, and social spaces in new-century Chinese novels. Findings reveal diverse and complex spatial narratives: fragmented physical spaces reflecting globalization's impact, psychological spaces highlighting identity recognition anxiety, and social spaces exposing modern society's alienation and class disparities. This study contributes to a deeper application of spatial narrative theory in Chinese literary research, offering new analytical tools for understanding modern literature and its reflection of social changes. It provides insights into the characteristics and trends of new-century Chinese social culture, promoting further research and theoretical development in related fields.

View the History of Foreign Texts in Chinese High School Textbooks from the Perspective of Language and Identity Recognition

This article aims to explore the historical development and complex context behind foreign texts in Chinese high school textbooks from the perspective of language and identity. By sorting out the selection process of these foreign texts in textbooks, we can reveal the profound influence of national cultural policies, changes in international relations, and the evolution of social ideology on the content of textbooks. This selection not only reflects the response of the Chinese education sector to globalization and the adjustment of cultural strategies, but also highlights how countries shape the cultural identity of young people through their education systems at different historical stages.

The neural basis of human unfamiliar face identity recognition with fMRI frequency-tagging

The neural basis of human unfamiliar face identity recognition with fMRI frequency-tagging

Organic long-persistent luminescence materials with stretchability enabled by SEBS

Polymer-based organic long-persistent luminescence materials (OLPLMs) with good stretchability have attracted considerable attention due to their effective response to environmental stimuli and wide selection of application scenarios. However, the lack of a suitable stretchable polymer matrix has been a major limitation in the development of strongly stretchable OLPLMs. Here, we present a straightforward and universal method to fabricate a stretchable afterglow effect under ultraviolet or visible light by blending the flexible polymer styrene-ethylene-butylene-styrene (SEBS) with various phosphors that display superior stretchability compared to the reported OLPLMs. To further highlight the outstanding benefits of such stretchable OLPLMs in the field of security applications, we show their practical cases in safety warning, identity recognition and oxygen detection scenarios. This universal material preparation strategy will simplify the production of stretchable OLPLMs and broaden the application range of phosphors or luminescent dyes.

Exploration of the Links Between Psychosocial Well-being and Face Recognition Skills in a French-Speaking Sample.

Face recognition abilities vary tremendously in the general population. People at the lower end of the spectrum, those with developmental prosopagnosia, report stress, anxiety or social interaction issues due to their poor face recognition abilities. It is thus important to develop adequate diagnostic tools convenient to use for clinicians and to examine relationships between face recognition skills and negative affects. In the present study, we provide a validated French translation of the 20-item prosopagnosia index (PI20), a self-report measure used to detect people with developmental facial identity recognition deficits (Shah et al., 2015; Tsantani et al., 2021). We also examined links between face recognition skills measured with the PI20 and a standard face recognition test (Cambridge face memory test-CFMT; Duchaine & Nakayama, 2006) and measures of social anxiety (social interaction anxiety scale, social phobia scale) and negative affects (state trait anxiety scale, Beck depression inventory). We did not find any significant correlation between the CFMT and measures of psychosocial well-being and only found a weak positive association between the PI20 and social interaction anxiety. Although this association is weak and warrants further research, raising awareness about developmental face recognition issues may help improve the well-being of people with facial identity recognition deficits and provide new investigation or intervention avenues for clinicians who treat patients with social interaction anxiety.

Tribal mobilization for religious identity and political space: ongoing demand for inclusion of Sarna-Tribal religion in the census of India

ABSTRACT The public mobilization of religious communities to acquire political space has been a heated discussion among scholars worldwide. Research reveals a long history of religious communities participating in political movements. However, in India, the debate on the recognition and protection of religious identity has been reduced to a discourse of minority versus majority religion. This paper examines the ongoing political mobilization by tribal communities in the state of Jharkhand and its demand for a separate religious column in the census of India. The underlying motive of this mobilization is to establish their religious identity, which is separate from both Hinduism and Christianity, and to resist the encroachment of tribal land by campaigning for tribal control over state resources through strengthening the constitutional provisions. The study focuses on tribal protests on social media platforms, in addition to the 2019 protest at Jantar Mantar, New Delhi, initiated by tribal groups demanding the Sarna-tribal religion as a legitimate religious choice in the census of India. The study used qualitative inductive analysis on data sourced through participant observation and 50 semi-structured interviews. The results prove that the ongoing protest for the recognition of the Sarna-tribal religion is stimulated by the threat to their religious identity and land rights. Additionally, social media played a crucial role in informing, mobilizing, and stimulating feelings of collective group identity.

A Novel Algorithm for Forensic Identification Using Geometric Cranial Patterns in Digital Lateral Cephalometric Radiographs in Forensic Dentistry.

Lateral cephalometric radiographs are crucial in dentistry and orthodontics for diagnosis and treatment planning. However, their use in forensic identification, especially with burned bodies or in mass disasters, is challenging. AM (antemortem) and PM (postmortem) radiographs can be compared for identification. This study introduces and evaluates a novel algorithm for extracting cranial patterns from digital lateral cephalometric radiographs for identification purposes. Due to the unavailability of AM cephalograms from deceased individuals, the algorithm was tested using pre- and post-treatment cephalograms of living individuals from an orthodontic archive, considered as AM and PM data. The proposed algorithm encodes cranial patterns into a database for future identification. It matches PM cephalograms with AM records, accurately identifying individuals by comparing cranial features. The algorithm achieved an accuracy of 97.5%, a sensitivity of 97.7%, and a specificity of 95.2%, correctly identifying 350 out of 358 cases. The mean similarity score improved from 91.02% to 98.10% after applying the Automatic Error Reduction (AER) function. Intra-observer error analysis showed an average Euclidean distance of 3.07 pixels (SD = 0.73) for repeated landmark selections. The proposed algorithm shows promise for identity recognition based on cranial patterns and could be enhanced with artificial intelligence (AI) algorithms in future studies.

Predictions enable top-down pattern separation in the macaque face-processing hierarchy

Distinguishing faces requires well distinguishable neural activity patterns. Contextual information may separate neural representations, leading to enhanced identity recognition. Here, we use functional magnetic resonance imaging to investigate how predictions derived from contextual information affect the separability of neural activity patterns in the macaque face-processing system, a 3-level processing hierarchy in ventral visual cortex. We find that in the presence of predictions, early stages of this hierarchy exhibit well separable and high-dimensional neural geometries resembling those at the top of the hierarchy. This is accompanied by a systematic shift of tuning properties from higher to lower areas, endowing lower areas with higher-order, invariant representations instead of their feedforward tuning properties. Thus, top-down signals dynamically transform neural representations of faces into separable and high-dimensional neural geometries. Our results provide evidence how predictive context transforms flexible representational spaces to optimally use the computational resources provided by cortical processing hierarchies for better and faster distinction of facial identities.