Representation Of Person Research Articles

The "abortion imaginary": Shared perceptions and personal representations among everyday Americans.

Drawing upon 217 in-depth interviews and the concept of the "social imaginary," we introduce the "abortion imaginary"-a set of shared understandings regarding abortion and abortion patients. We identify four interrelated facets of the U.S. abortion imaginary pertaining to who gets an abortion and why: maternal inevitability, economic decision-making, relationship precarity, and emotional fragility. We then show how shared perceptions of abortion patients diverge into polarized opinions, revealing how those who know someone who has had an abortion differ from those who do not. Centering personal "exemplars," we integrate conceptual work on social imaginaries with contact theory to illuminate how divergent opinions coexist with shared cultural understandings.

Specialized Mental Health Supervision: Revocations and Risk Composition

Although many studies have investigated the disproportionate representation and negative experiences of justice-involved persons with mental illness (MI), we know less about probation/parole revocations among this population. Using statewide data and propensity score matching, we compare rates of rearrests and revocations between individuals with and without MI and assess the effectiveness of Specialized Mental Health Supervision (SMHS) in reducing the likelihood of revocation. In addition, we examine whether the risk score composition differs among participants of the SMHS program from clients with MI not placed on SMHS. Findings reveal that persons with MI are more likely to have a revocation, specifically for technical violations. In addition, SMHS does not significantly lower revocations after controlling for other caseload characteristics. Finally, those with higher risk scores were significantly less likely to be placed on SMHS caseloads. Considerations for SMHS implementation are discussed.

What Does It Take for Immigrants to Join Political Parties?

Political parties are crucial agents in democratic representation and political integration of persons of immigrant origin, a growing category of citizens in the European Union. Research demonstrates that citizens of immigrant origin are less likely to join political parties than persons without a migratory background. Nevertheless, party membership varies across countries and between immigrants. Accounting for such inter-individual and cross-national variations, this article uses secondary data from the European Social Survey, the Migrant Integration Policy Index, and the Varieties of Democracy (V-Dem) project for 25 European democracies to uncover mechanisms that explain the party membership of immigrants. In our multilevel analysis, we test interactions between country-specific variations in legislation on migration policies on the one hand and individual differences in political socialisation and political efficacy on the other. Our models suggest significant positive effects of exposure to a democratic regime in the country of origin and of internal efficacy on party membership of citizens of immigrant origin. Additionally, our findings highlight the significance of an inclusive national framework for immigrant integration, serving as a moderator to diminish the impact of political socialisation in less democratic countries on the decision of citizens with immigrant backgrounds to participate in political parties within their country of residence.

Modeling Digital Personality: A Fuzzy-Logic-Based Myers–Briggs Type Indicator for Fine-Grained Analytics of Digital Human

Digital human in cyberspace can help provide humanized services in specific applications, such as question & answer systems, recommender systems, chatter robots, and intelligent assistants. While most researches focus on behavior analytics, few of them integrate the personality that is also a closely related factor. As a classic indicator for personality representation, Myers–Briggs type indicator (MBTI) categorizes an individual into mutually exclusive types from four dichotomous axes (extraversion versus introversion, sensing versus intuition, thinking versus feeling, judging versus perceiving). Traditional recognition method using MBTI simply measures the user’s preference frequency in each axis through questionnaires, treating the dominant value as the identified result. Such a paradigm, however, represents all the people with only 16 types and cannot distinguish heterogeneous users clearly. This article proposes a novel personality recognition method using fuzzy logic. Different from previous classifications, our new method categorizes the individual in a continuous space and represents one’s personality in a more fine-grained level. We have designed comparative psychological tests for 77 people. The validation experiments on such tests indicate that the fuzzy-logic-based method is not only consistent with the classic MBTI tests (in the sense of defuzzification) but also provides the uncertainty for each personality type. Therefore, it can be viewed as a generalization of the classic MBTI tests and promotes the representation of individual’s heterogeneity for fine-grained analytics of digital human.

Zurov Alexander Alexandrovich (1863–1937), major-general retired, Jägermeister, acting manager of the office at the court of grand duchess Elizabeth Feodorovna: a found face

This article, as well as our previous ones («Vestnik of the Perm Federal Research Center» № 3, 2021, and № 3, 2022), is devoted to the 300th anniversary of the city of Perm (1723–2023), and continues our investigation on the identification of historical personalities who took the active part in the reception of Grand Duchess Elizabeth Feodorovna and her sister – Princess Victoria von Battenberg in Perm in July 1914. As a reminder, in the book, published by the Demidov Institute (Yekaterinburg, 2007), «I.F. Koshko, Memories of the Governor, 1911–1914» there were some mistakes revealed in the representation of personalities in the group photo taken in the garden of the governor's house in Perm. As it turned out, not only V.I. Europeus and A.P. Kornilov, but also many other persons were incorrectly indicated. Since there is no information concerning this photo found in Perm archives and in «Permskie vedomosti» of 1914, we hope our investigation will be interesting not only to local historians, but also to everyone who is interested in history. In the article, we give brief information about each person presented in the photo and, most importantly, provide additional photos confirming the identity of those persons.

The Relative Contribution of Facial and Body Information to the Perception of Cuteness.

Faces and bodies both provide cues to age and cuteness, but little work has explored their interaction in cuteness perception. This study examines the interplay of facial and bodily cues in the perception of cuteness, particularly when these cues convey conflicting age information. Participants rated the cuteness of face-body composites that combined either a child or adult face with an age-congruent or incongruent body alongside manipulations of the head-to-body height ratio (HBR). The findings from two experiments indicated that child-like facial features enhanced the perceived cuteness of adult bodies, while child-like bodily features generally had negative impacts. Furthermore, the results showed that an increased head size significantly boosted the perceived cuteness for child faces more than for adult faces. Lastly, the influence of the HBR was more pronounced when the outline of a body's silhouette was the only available information compared to when detailed facial and bodily features were presented. This study suggests that body proportion information, derived from the body's outline, and facial and bodily features, derived from the interior surface, are integrated to form a unitary representation of a whole person in cuteness perception. Our findings highlight the dominance of facial features over bodily information in cuteness perception, with facial attributes serving as key references for evaluating face-body relationships and body proportions. This research offers significant insights into social cognition and character design, particularly in how people perceive entities with mixed features of different social categories, underlining the importance of congruency in perceptual elements.

Legal principles of digital identification and representation of personality

Legal principles of digital identification and representation of personality

Introducing the Self of Self-Consciousness

One central goal of Transparency and Reflection is to explain how self-knowledge is possible, while adhering to the principle that knowledge of mental states is ‘transparent’ to knowledge of the world. I argue that the resources that Matthew Boyle brings to that project, viz., ‘consciousness-as-subject’ and ‘modes of presentation’, are inadequate to explain the introduction of the representation of a self as something that has multiple states. Positively, I suggest that Boyle would have been more successful if he had stayed with his earlier Kantian assumption that mastery of the first person representation requires consciousness of the activity of reasoning that enables subjects to answer why questions.

Enhancing Person Re-Identification Performance Through In Vivo Learning.

This research investigates the potential of in vivo learning to enhance visual representation learning for image-based person re-identification (re-ID). Compared to traditional self-supervised learning (which require external data), the introduced in vivo learning utilizes supervisory labels generated from pedestrian images to improve re-ID accuracy without relying on external data sources. Three carefully designed in vivo learning tasks, leveraging statistical regularities within images, are proposed without the need for laborious manual annotations. These tasks enable feature extractors to learn more comprehensive and discriminative person representations by jointly modeling various aspects of human biological structure information, contributing to enhanced re-ID performance. Notably, the method seamlessly integrates with existing re-ID frameworks, requiring minimal modifications and no additional data beyond the existing training set. Extensive experiments on diverse datasets, including Market1501, CUHK03-NP, Celeb-reID, Celeb-reid-light, PRCC, and LTCC, demonstrate substantial enhancements in rank-1 precision compared to state-of-the-art methods.

Limb-Aware Virtual Try-On Network With Progressive Clothing Warping

Image-based virtual try-on aims to transfer an in-shop clothing image to a person image. Most existing methods adopt a single global deformation to perform clothing warping directly, which lacks fine-grained modeling of in-shop clothing and leads to distorted clothing appearance. In addition, existing methods usually fail to generate limb details well because they are limited by the used clothing-agnostic person representation without referring to the limb textures of the person image. To address these problems, we propose Limb-aware Virtual Try-on Network named PL-VTON, which performs fine-grained clothing warping progressively and generates high-quality try-on results with realistic limb details. Specifically, we present Progressive Clothing Warping (PCW) that explicitly models the location and size of in-shop clothing and utilizes a two-stage alignment strategy to progressively align the in-shop clothing with the human body. Moreover, a novel gravity-aware loss that considers the fit of the person wearing clothing is adopted to better handle the clothing edges. Then, we design Person Parsing Estimator (PPE) with a non-limb target parsing map to semantically divide the person into various regions, which provides structural constraints on the human body and therefore alleviates texture bleeding between clothing and body regions. Finally, we introduce Limb-aware Texture Fusion (LTF) that focuses on generating realistic details in limb regions, where a coarse try-on result is first generated by fusing the warped clothing image with the person image, then limb textures are further fused with the coarse result under limb-aware guidance to refine limb details. Extensive experiments demonstrate that our PL-VTON outperforms the state-of-the-art methods both qualitatively and quantitatively.

Integrating diversity into the medical curriculum

In the field of medical education, diversity refers to the presence and representation of persons from a diversified range of personal backgrounds, experiences, and characteristics across the student community, faculty members, and employees in the institution. The scope of diversity in medical education is immense and it plays a vital role in creating an effective learning environment. Once students are exposed to a group of diverse students and patients during their undergraduate training, there is a significant improvement in cultural competence, which becomes crucial in our mission to deliver patient-centered care. Considering the merits of diversity in the medical curriculum for medical students, there is an indispensable need to take specific measures to ensure that diversity is integrated in the curriculum, as it will also ensure the delivery of equitable and culturally competent medical care. As important is to ensure the integration of diversity into medical curriculum, equal importance has to be given to the measurement of various initiatives that have been taken to promote diversity in medical education. In conclusion, diversity in medical education is the need of the hour to create a fruitful learning environment for medical students. This calls for the need to take measures for the integration of diversity into the medical curriculum and subsequently identify strategies and indicators to measure and monitor the progress of diversity initiatives in medical institutions.

Instagram’s Influence on Self-representation of Young Users

Social media users are attempting to capture every moment of their life, therefore creating the visual global aesthetic that forms virtuality. This study examines the relationship between the usage of Instagram, and its influence on users’ mental health through social comparison traps, body image, stereotyping, gender differences, cultural background, unrealistic beauty standards, and fake representations. This research tried to find out that the frequency of social comparisons on Instagram may have detrimental consequences on users such as depression and feelings of inadequacy. Furthermore, due to idealized representations, individuals can struggle to distinguish between their true identities and their digital personas. Additionally, widespread usage of weight loss and body image hashtags and trends may negatively impact young adults. However, Instagram might have a beneficial impact as it allows people to express themselves in front of billions of others. A mixed research method approach was applied to fully understand this study by using the Social Comparison scale and asking open-ended short-answer questions. In this context, 105 participants aged between 18 and 25 were asked about their use of the Instagram platform and their comparisons with other users, through electronic surveys. The study aimed to show how social media affects young adults in different ways and to provide insight into how users can better protect their mental health on Instagram. Research findings reveal that Instagram users think that they make rational choices about their online behavior and personal representation, and that they use the platform in a healthy and beneficial way.

SELF-REPORTED COMPONENTS OF SELF-IDENTITY IN PERSONS LIVING WITH EARLY-STAGE DEMENTIA

Abstract The impending loss of “self” is a common concern of persons diagnosed with dementia. However, in contrast to the traditional biomedical model, there is qualitative and quantitative evidence that self-identity persists across stages of the disease. An understanding of the components of self-identity of persons living with early-stage dementia (PLWED) can inform treatment approaches and communication from care partners and providers. Consequently, the aim of the present study is to examine what PLWED identify as the facets of their self-concept. Participants were a purposive sample of 20 community-dwelling PLWED who attended a voluntary health program aimed at facilitating aging-in-place. Focus groups were conducted and recorded on-site at the health program. The interviews were transcribed verbatim from the audio recordings and were analyzed through a conventional content analysis approach. Content analysis of the narratives gleaned from focus group participants revealed six self-identity themes: vocation, family role, personal characteristics, hobbies and interests, religious affiliation, and social networks. Although the deterioration of explicit memory, including autobiographical memory, is a hallmark of dementia, overfocusing on this as the sole component of self-identity contributes to the representation of persons living with dementia as less than whole and lacking “selves.” Our findings suggest critical components of self-identity other than memory that should be recognized and supported in persons living with dementia.

Affirmative Policy A Necessity for Fulfilling the Political Rights of Persons with Disabilities

Persons with disabilities have political rights. The right to vote and the right to be elected in general elections. This article examines the political rights of persons with disabilities to be elected in general elections. This is important because the representation of persons with disabilities in the public sphere will voice the rights of persons with disabilities. The purpose of this research is to identify the factors that influence the lack of fulfillment of these political rights for persons with disabilities and to examine the fulfillment of their political rights through affirmative policies. The method used in this research is qualitative with a descriptive analytical approach. Primary data was obtained through in-depth interviews with several informants. Factors contributing to the lack of fulfillment of the political rights of persons with disabilities include education level, welfare, and lack of support from the environment and family. Affirmative policies can serve as an alternative to represent persons with disabilities in the public sphere.

The Image of King Edil in the Ancient German Epic «The Nibelungenlied» and in the Novel «Atilla. Balkan Tauga Bargandar» (Attila. Those who Visited the Balkan Mountain)

In the research article, the authors touch upon the problem of the heterogeneous representation of a historical person in Western and Eastern literary works. Therefore, the Kazakh historical novel and a foreign epic work of antiquity were taken as the object of research, through which attention was paid to identifying differences and similarities in each work in creating a literary and artistic image of the kagan Yedil. At the same time, it was suggested that the appearance of such differences is directly influenced by the position of the authors, and other factors in creating the image of the hero should not be overlooked. To achieve the goal on this issue, theoretical and historical works of domestic and foreign authors were considered. Another relevance of the article lies in the fact that the works under consideration have never been deeply evaluated as an object of fundamental research in the Kazakh literary science. In the course of the study, attention was drawn to the specifics of the methods and techniques of creating a literary image reflected in T. Zakenuly's historical work “Attila. Balkan tauga bargandar” (Attila. Those who Visited the Balkan Mountain), and the purpose of the ancient German epic “The Song of the Nibelungs”. The assessment of artistic solutions in creating the image of the Kagan Edil in two works, interpretations of historical sources, the behavior of a historical personality and psychology is given.

Cloth Interactive Transformer for Virtual Try-On

The 2D image-based virtual try-on has aroused increased interest from the multimedia and computer vision fields due to its enormous commercial value. Nevertheless, most existing image-based virtual try-on approaches directly combine the person-identity representation and the in-shop clothing items without taking their mutual correlations into consideration. Moreover, these methods are commonly established on pure convolutional neural networks (CNNs) architectures which are not simple to capture the long-range correlations among the input pixels. As a result, it generally results in inconsistent results. To alleviate these issues, in this article, we propose a novel two-stage cloth interactive transformer (CIT) method for the virtual try-on task. During the first stage, we design a CIT matching block, aiming at precisely capturing the long-range correlations between the cloth-agnostic person information and the in-shop cloth information. Consequently, it makes the warped in-shop clothing items look more natural in appearance. In the second stage, we put forth a CIT reasoning block for establishing global mutual interactive dependencies among person representation, the warped clothing item, and the corresponding warped cloth mask. The empirical results, based on mutual dependencies, demonstrate that the final try-on results are more realistic. Substantial empirical results on a public fashion dataset illustrate that the suggested CIT attains competitive virtual try-on performance.

The Effect of Diversity Management on Employee Engagement in the Manufacturing Sector

In Indonesia's manufacturing industry, which employs the third-largest workforce in the country, employee engagement is a critical measure of labor's contribution. Despite the industry's importance, diversity management—a key driver of engagement—lags, with low representation of women and persons with disabilities and persistent ethnic and racial discrimination in a nation known for its multiculturalism. Additionally, ageism is prevalent, manifesting as discrimination across different age groups. This study investigates the influence of four principal dimensions of diversity management—ethnic, gender, disability, and age—on employee engagement within the sector. Conducted as a field study in a manufacturing industry in Cilegon with 218 participants, the research provides insightful findings. Notably, it identifies age diversity management as the sole dimension with a significant impact on employee engagement, while the other three—ethnic, gender, and disability diversity management—do not show a substantial effect.

Unveiling the inner world: representation of creative personality by Gulrukh Alibayli in «Our Thinking World»

The focus of the article is on the way Gulrukh Alibayli articulates her sense of creative self in her 1998 book "Our Thinking World". This work comprises publicist writings, portrait essays about renowned figures, two stories, and commemorative photos, all enriched with profound social-philosophical and spiritual-moral themes. The author argues that creative individuals are autonomous, possess self-awareness, and cannot be coerced against their will. G.Alibayli posits that self-identification is a product of an individual's consciousness, which reflects their distinctive cultural identity without exceeding the confines of their culturology, philosophy, and psychology. The writer's self-identification as a creative personality, who expresses concern about societal and humanitarian issues in every piece of writing and seeks various solutions, is realized in the book.

Modeling personalized heart rate response to exercise and environmental factors with wearables data

Heart rate (HR) response to workout intensity reflects fitness and cardiorespiratory health. Physiological models have been developed to describe such heart rate dynamics and characterize cardiorespiratory fitness. However, these models have been limited to small studies in controlled lab environments and are challenging to apply to noisy—but ubiquitous—data from wearables. We propose a hybrid approach that combines a physiological model with flexible neural network components to learn a personalized, multidimensional representation of fitness. The physiological model describes the evolution of heart rate during exercise using ordinary differential equations (ODEs). ODE parameters are dynamically derived via a neural network connecting personalized representations to external environmental factors, from area topography to weather and instantaneous workout intensity. Our approach efficiently fits the hybrid model to a large set of 270,707 workouts collected from wearables of 7465 users from the Apple Heart and Movement Study. The resulting model produces fitness representations that accurately predict full HR response to exercise intensity in future workouts, with a per-workout median error of 6.1 BPM [4.4–8.8 IQR]. We further demonstrate that the learned representations correlate with traditional metrics of cardiorespiratory fitness, such as VO2 max (explained variance 0.81 ± 0.003). Lastly, we illustrate how our model is naturally interpretable and explicitly describes the effects of environmental factors such as temperature and humidity on heart rate, e.g., high temperatures can increase heart rate by 10%. Combining physiological ODEs with flexible neural networks can yield interpretable, robust, and expressive models for health applications.

Keterlibatan Penyandang Disabilitas dalam Pelayanan Publik di Era Society 5.0

The government encourages people with disabilities to participate as civil servants, through the policy of the Minister of State Apparatus Empowerment and Bureaucratic Reform of the Republic of Indonesia Number 27 of 2021 concerning Procurement of Civil Servants (PNS). The involvement of people with disabilities in public services is strengthened by the Society 5.0 era, where technology is seen as a life support tool. This research aims to analyze the participation of people with disabilities as civil servants in the context of Society 5.0. The research method used is SWOT analysis (Strengths, Weakness, Opportunities and Threats). Implementation of policies regarding the procurement of civil servants in Indonesia has still not reached the target, in 2022 only 0.017% of people with disabilities will become civil servants from the targeted 2% quota. Based on this data, it is necessary to evaluate the involvement of people with disabilities as civil servants, whether the PANRB Ministerial Regulation Number 27 of 2021 has been implemented or not by the Ministries/Institutions and Regional Governments. The 2% representation of persons with disabilities must be maintained in the procurement of civil servants in the future, even if it is possible to increase the quota. Apart from that, it will be even more effective if this policy is followed by sanctions for Ministries/Institutions and Regional Governments that have not implemented the procurement of civil servants with disabilities.