Personal Identity Research Articles

SEARCHING FOR THE SOURCES OF GOOD: THE IDENTITY OF AN EMIGRANT IN EMMA ANDIEVSKA’S “NOVEL ABOUT A GOOD PERSON”

The paper aims to highlight the issue of an emigrant’s identity in Emma Andievska’s “Novel about a Good Person,” particularly by demonstrating the peculiarities of the authorial techniques that combine the literary representation of the historical epoch with the exploration of philosophical issues. The theoretical frameworks and methodological premises for the research have been shaped by studies on personal and national identity as well as research works in the field of geopoetics. While placing the characters in the Mittenwald DP camp and allowing them to wander through time and space, the writer draws attention to the ‘hell’ of the Soviet totalitarian regime, which denies Ukrainian history and culture, accuses intellectuals of ‘bourgeois nationalism,’ and develops a campaign of denunciatory reports and policies that destroy personality. At the same time, the novel brings to the fore the collective image of Ukrainian emigration with its daily challenges—fear of repatriation commissions and Soviet spies—but also with the fullness of emigrants’ lives, including their love, creativity, lectures, philosophical discussions, and desire to preserve their human dignity. Deliberately blurring the boundaries between geographical coordinates and mental space, Emma Andievska reveals the hidden depths of human identity and traces the markers of national identity in the emigrant milieu (clothing items, folk songs and dances, archetypal and symbolic images). The mythologism of artistic thinking is manifested through various modi of hierophany, including references to folk beliefs, Eastern and ancient culture, Biblical motifs, and European literature. While searching for the sources of good, emigrants ponder over the divine nature of every human person. Goodness can be threatened by human fear and substitution of concepts. However, the characters try to find ‘the catalysts of good’ in the world and ultimately realize that it is the selfless help to the Other that fills the soul with light and enables one to share experience of goodness with another ‘good person.’

Digital Stardom: The Role of Social Media in Shaping the Public Personas of Celebrities

Abstract: The rise of social media has transformed the landscape of celebrity culture, enabling celebrities to directly construct, manage, and broadcast their public personas to global audiences. This research explores how platforms such as Instagram, Twitter, and TikTok have become essential tools for digital self-branding, image cultivation, and audience engagement. Through content analysis, sentiment mapping, and interaction metrics, the study examines the mechanisms by which celebrities leverage social media to influence public perception, maintain relevance, and respond to controversies. It also investigates the dynamics of authenticity, para-social interaction, and the blurring boundaries between personal and professional identities in the digital age. The paper highlights the strategic use of social media in establishing digital stardom and its implications for celebrity-fan relationships, influencer economies, and cultural production in the 21st century. Keywords: digital stardom, social media, celebrities, public persona, self-branding, para-social interaction, influencer culture, celebrity image, online engagement, digital authenticity

SEARCHING FOR THE SOURCES OF GOOD: THE IDENTITY OF AN EMIGRANT IN EMMA ANDIEVSKA’S “NOVEL ABOUT A GOOD PERSON”

The paper aims to highlight the issue of an emigrant’s identity in Emma Andievska’s “Novel about a Good Person,” particularly by demonstrating the peculiarities of the authorial techniques that combine the literary representation of the historical epoch with the exploration of philosophical issues. The theoretical frameworks and methodological premises for the research have been shaped by studies on personal and national identity as well as research works in the field of geopoetics. While placing the characters in the Mittenwald DP camp and allowing them to wander through time and space, the writer draws attention to the ‘hell’ of the Soviet totalitarian regime, which denies Ukrainian history and culture, accuses intellectuals of ‘bourgeois nationalism,’ and develops a campaign of denunciatory reports and policies that destroy personality. At the same time, the novel brings to the fore the collective image of Ukrainian emigration with its daily challenges—fear of repatriation commissions and Soviet spies—but also with the fullness of emigrants’ lives, including their love, creativity, lectures, philosophical discussions, and desire to preserve their human dignity. Deliberately blurring the boundaries between geographical coordinates and mental space, Emma Andievska reveals the hidden depths of human identity and traces the markers of national identity in the emigrant milieu (clothing items, folk songs and dances, archetypal and symbolic images). The mythologism of artistic thinking is manifested through various modi of hierophany, including references to folk beliefs, Eastern and ancient culture, Biblical motifs, and European literature. While searching for the sources of good, emigrants ponder over the divine nature of every human person. Goodness can be threatened by human fear and substitution of concepts. However, the characters try to find ‘the catalysts of good’ in the world and ultimately realize that it is the selfless help to the Other that fills the soul with light and enables one to share experience of goodness with another ‘good person.’

Tożsamość osobowa w świetle motywów akwatycznych w twórczości Wasyla Stusa

This article is devoted to the issue of personal identity considered through the prism of aquatic motifs as manifest in the work of the most outstanding Ukrainian poet of the second half of the 20th century, Vasyl Stus. Drawing on various critical perspectives and biographical facts about Stus himself, this article shows how water motifs reflect the complexity and formation of personal identity. Through an interdisciplinary analysis spanning cultural studies, history, psychology and philosophy, the issue of identity is described and compared to fluidity, transformation, and sometimes ephemerality. Moreover, the article explains how the exploration of personal identity, through the significance of water motifs, intersects with traditional views of society, rooted in cultural consciousness and historical events.

Sex classification accuracy through machine learning algorithms - morphometric variables of human ear and nose

ObjectiveSex determination is an important parameter for personal identification in forensic and medico-legal examinations. The study aims at predicting sex accuracy from different parameters of ear and nose by using a novel approach of Machine Learning Library, ‘PyCaret’.ResultsThe present research was carried out on 508 participants (264 males and 244 females) aged 18–35 years from north India. Various ear and nose measurements were recorded on each participant. PyCaret employs a train-eval-testing validation approach, yielding a comprehensive output of the model in the form of a table that consolidates the average scores of all models over ten folds, including the respective time values. These models were compared based on performance metrics, and time taken. The logistic regression classifier emerged as the top-performing model, achieving the highest scores of 86.75% for sex prediction accuracy. Nasal breadth has been concluded as the most significant variable in accurate sex prediction. The findings indicate that the majority of the ear and nose characteristics significantly contribute to sexual dimorphism. This novel approach for sex classification can be efficiently used in a variety of forensic examinations and crime scene investigation especially where there is a need for estimation of sex for personal identification.

An Analysis of Cybercrime among Indian Youth

Abstract: “Many silent victims will continue to suffer unless and until our society acknowledges cyberbullying for what it is.” It is well acknowledged that cybercrime is a crime perpetrated by professional criminals. The philosophy driving cybercrimes has grown as a result of the internet, despite the fact that technology has made life easier and less violent. Furthermore, developments in the wireless era have fueled an obsession with illicit activity among Indian youth. Most people agree that cybercrime is a crime that is perpetrated online. At the same time, cybercrime is growing in popularity all around the world. The primary objective of the paper is to understand the level of focus among children, how children are affected and victimized by e-crime, and how their personal identification is disrupted and stolen. The gift paper is primarily based entirely on primary information, as well as secondary information and other information. In this cyber world, we virtual citizens, all of us, have instrumented the information available about our location and happenings to the point where privacy appears to vanish.Technologically demanding situations are inextricably linked to security-demanding situations. In a conceptual manner, this paper offers the effect and volume of Cyber Crime among children at a macro stage. Keywords: Cyber Offences ; New generation ; Internet Security Awareness

Role of Forensic Anthropology in the Search and Recovery of Fatal Wildland Fire Victims

ABSTRACTThe search and recovery process of fatal fire victims is one of the greatest challenges in forensic anthropology, especially in large‐scale wildland fire disasters. Burned human remains can exhibit significant variation in their degree of preservation depending on the temperature of the fire, the length of exposure to the heat source, and intrinsic characteristics of the victim (e.g., body size, age, and bone density). Wildland fire victims typically exhibit characteristics of the final stages of burning (i.e., nearly complete to complete calcination). The search for burned human remains is complicated by the size of the disaster area, the number of structures that need to be searched, collapsed roofs, building debris, interagency coordination, and insufficient information about the missing persons' population. While most forensic anthropologists have experience processing fatal fire scenes (e.g., residential fires, vehicle fires, burn pits), few have experience with the search and recovery of multiple fire victims from wildland contexts. This review discusses recently developed protocols for the search and recovery of fatal fire victims from wildland environments and how implementation of these protocols maximizes the likelihood of personal identification for all who are reported missing. Drought conditions associated with climate change are a major risk factor in wildland fires, and fire‐prone areas are more likely to experience these events with increasing frequency in the future. Therefore, forensic anthropologists who work in fire‐prone regions should be prepared to respond to disaster scenes in their service area and be familiar with wildland search and recovery protocols.

Vestiges of Disability

This collection of poetry consists of two parts, marking a chronological transition from disability to empowerment. The first, ‘Big Yellow Buses’ and ‘The Dead of Winter’, address the consequences of growing up without an autism diagnosis, including themes of bullying, isolation, and despair. The second, ‘Autistic Bunker’ and ‘Atlas Unbound’, focus on life after receiving a diagnosis, including its effect on authenticity, purpose, and change. The temporal progression from the confusion and hardship of undiagnosed childhood and adolescence to the self-awareness and community integration of adulthood indicates a profound transformation in personal identity. By evoking the visceral and cognitive dimensions of autistic experiences across lifespan development, these poems reiterate the importance of awareness, acceptance, and community connectedness, which remain tantamount to supporting the health and wellbeing of autistic individuals currently and in the years to come.

Staying or Leaving: The Dialectics of Reconstructing Couple Relationships Following Intimate Partner Violence.

The current discourse in the field of intimate partner violence is based mostly on the expectation that violence terminates the relationship and the partners separate to reconstruct their lives. This expectation is based on an either/or paradigm, which appears problematic given the reality of couples struggling with staying or leaving. This article examined the meanings couples attributed to remaining in their marital relationship following intimate partner violence and the efforts invested in rehabilitating the relationship. The study is based on 24 interviews with 12 couples who stayed together and had been free of physical violence for at least one year. Each partner was interviewed separately, which allowed them the freedom to develop their narrative. Descriptive phenomenological analysis revealed three key stages of the decision-making process: (a) a separation and reassessment stage, when personal identities were reexamined and a decision was made to attempt to reconstruct the marriage; (b) a new contract for the relationship was negotiated based on taking responsibility and undergoing mutually agreed-upon individual changes through therapy; and (c) resumption of living together, implementing and evaluating the contract negotiated about the joint life. The process is not linear and involves contradictions and paradoxes. The discussion conceptualizes staying together as a dialectic process between opposing forces: fear vs. hope, connectedness vs. individuality, and couple identity ("we-ness") vs. the need for selfhood. The issue of the legitimacy of couples with IPV history to live together needs to be considered. Intervention must balance between empowering the couple by providing choices and examining possible risks arising from the process.

Knowledge-Enhanced Hierarchical Heterogeneous Graph for Personality Identification with Limited Training Data

Personality identification plays important roles in understanding user behavior and offering foresight ability for downstream applications. The key challenge is how to address the scarcity of labeled personality data. Recently, some studies have adopted data augmentation and prompt learning to perform personality identification. However, they still heavily require a large amount of labeled data to learn an appropriate distance strategy, which limits the generalization and flexibility of the model. This study proposes a knowledge-enhanced hierarchical heterogeneous graph model, which adopts a global multi-view graph node encoding to acquire comprehensive personality features and their inherent associations, where three types of knowledge including part-of-speech (POS) tag, entity, and Linguistic Inquiry and Word Count (LIWC) are introduced. Then, a hierarchical heterogeneous graph with a “post-word-diverse knowledge” structure is constructed for each post to obtain enhanced representation. Finally, a relation guided representation optimization that considers intra-user relationships and inter-label relationships is further developed to learn more discriminative semantic representation. Experimental results on three widely used datasets demonstrate that the model outperforms state-of-the-art methods when training with only 100 samples (approximately 1% of the total data set).

Odpowiedzialność członków zarządu w trybie art. 299 k.s.h. w razie oddalenia wniosku o ogłoszenie upadłości w stosunku do spółki na podstawie art. 13 ust. 1 i 2 pr. upadł. – glosa do wyroku Sąd Okręgowego w Legnicy z dnia 29 lutego 2024 r., VI GC 159/23

The commented judgment of the District Court in Legnica concerns the liability of members of the management board of a limited liability company under Article 299 of the Act of 15 September 2000 – the Commercial Companies Code, in the context of the court’s rejection of the petition for the declaration of bankruptcy of the company, based on Article 13(1) and (2) of the Act of 28 February 2003 – the Bankruptcy Law. The author critically assesses the Court’s findings regarding the failure of the plaintiff to prove the existence of the conditions necessary for the liability of the management board members, such as the existence of the company’s debt during their term of office and the ineffectiveness of enforcement of this debt from the company. A similar evaluation applies to the identification of persons who bear responsibility under Article 299 of the Commercial Companies Code in the event of a penalty clause imposed by a creditor due to the termination of a contract between the creditor and the company, as well as in relation to the joint liability of the investor (the plaintiff) and the contractor (the limited liability company) for payment to subcontractors for works performed under Article 6471 of the Act of 23 April 1964 – the Civil Code.

Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting

With the explosive growth of deep learning applications and increasing privacy concerns, the right to be forgotten has become a critical requirement in various AI industries. For example, given a facial recognition system, some individuals may wish to remove their personal data that might have been used in the training phase. Unfortunately, deep neural networks sometimes unexpectedly leak personal identities, making this removal challenging. While recent machine unlearning algorithms aim to enable models to forget specific data, we identify an unintended utility drop—correlation collapse—in which the essential correlations between image features and true labels weaken during the forgetting process. To address this challenge, we propose Distribution-Level Feature Distancing (DLFD), a novel method that efficiently forgets instances while preserving task-relevant feature correlations. Our method synthesizes data samples by optimizing the feature distribution to be distinctly different from that of forget samples, achieving effective results within a single training epoch. Through extensive experiments on facial recognition datasets, we demonstrate that our approach significantly outperforms state-of-the-art machine unlearning methods in both forgetting performance and model utility preservation.

Predicting Blood Type: Assessing Model Performance with ROC Analysis

Introduction: Personal identification is a critical aspect of forensic sciences, security, and healthcare. While conventional biometrics systems such as DNA profiling and iris scanning offer high accuracy, they are time-consuming and costly. Objectives: This study investigates the relationship between fingerprint patterns and ABO blood group classification to explore potential correlations between these two traits.Methods: The study analyzed 200 individuals, categorizing their fingerprints into three types: loops, whorls, and arches. Blood group classification was also recorded. Statistical analysis, including chi-square and Pearson correlation tests, was used to assess associations between fingerprint patterns and blood groups.Results: Loops were the most common fingerprint pattern, while blood group O+ was the most prevalent among the participants. Statistical analysis revealed no significant correlation between fingerprint patterns and blood groups (p > 0.05), suggesting that these traits are independent.Conclusions: Although the study showed limited correlation between fingerprint patterns and ABO blood groups, it highlights the importance of future research using larger and more diverse populations, incorporating machine learning approaches, and integrating multiple biometric signals. This study contributes to forensic science by emphasizing the need for rigorous protocols and comprehensive investigations in personal identification.

Thinking Outside the Nation: Cognitive Flexibility’s Role in National Identity Inclusiveness as a Marker of Majority Group Acculturation

In superdiverse societies like Canada, characterized by high levels of cultural and ethnic plurality, national identity boundaries are often blurry. While policies may officially promote inclusiveness, public discourse on national identity is frequently dominated by mainstream groups, whose willingness to expand these boundaries plays a crucial role in fostering minority inclusion. Despite the importance of inclusivity for social cohesion, little is known about what enables majority group members to adopt a more inclusive national identity. This study addresses this gap by exploring the role of cognitive flexibility in facilitating an acculturative shift toward inclusiveness. Using latent class regression analysis (N = 202), we identified two distinct national identity profiles: one more inclusive and the other more exclusive. We also examined how factors such as ethnic vs. civic views on national identity, acculturation orientations toward integration, and personal identification with traditional English Canadian vs. multicultural identity representation shape these profiles. Our findings revealed that higher cognitive flexibility was positively associated with the likelihood of belonging to the more inclusive profile. This study contributes to a limited body of work on majority group acculturation, offering insights into how cognitive flexibility may encourage a broader and more inclusive national identity. Implications for policy and social cohesion are discussed.

Development of Signature Image Processing Using Shape and Texture Patterns

A signature is a sign in written form, a person's identity for whether a document is correct or not, commonly known as a Biometric system. The Biometric system is the most basic, crucial and considered a superb process for a signature in detecting a person's identification and security. Signature forgery is a fraud that often occurs, causing bigger and longer expenses. For reasons like these, a signature detection system must be able to quickly and accurately recognize genuine and dummy signatures. The purpose of this study was to present the original and dummy signature pattern recognition by grouping the original signature data. In this study, Image Segmentation was used to divide the image into several parts, the K-Means Clustering algorithm to group several parts according to the properties of each object, and Feature Extraction of Texture Patterns and Shape Patterns with Gray Level Co-Occurrence Matrix (GLCM) to obtain feature values such as Entropy, Energy, Homogeneity, Correlation, and Contrast which has resulted in a study to detect genuine and counterfeit signatures. Preliminary results show that the percentage of identification of the signature biometric system developed using Feature Extraction with signature shapes on texture patterns got an average similarity rate of: 92.74%, and signature shapes on shape patterns attained an average similarity rate of: 79.20%. Therefore, the texture extraction pattern can detect the degree of similarity between the original signature and the dummy signature with a higher percentage value compared to the shape extraction pattern. The proposed method can produce better accuracy

Development of a Codetection System Based on STRs and Biofluid-Specific CpG Markers.

The detection of body fluids in biological stains at crime scenes and their association with donors is increasingly important for the validity of evidence in case investigations and prosecutions. While autosomal short tandem repeats (STR) and DNA methylation markers can effectively analyze personal identification and body fluid origin, there is currently no integrated system for simultaneous STR typing (subsource level) and biofluid identification (source level). This study has developed a codetection system based on DNA methylation markers (cytosine-phosphate-guanine [CpG]) and an STR amplification system for simultaneous personal identification and biofluid origin determination using capillary electrophoresis. This system integrates a 7-plex amplification system, comprising 5 biofluid-specific CpG markers (cg05261336 for semen, cg04011671 for peripheral blood, cg09107912 for saliva, cg15988970 for vaginal secretion, and cg18069290 for menstrual blood) and 2 control markers, with a 20-plex STR amplification system. The combined system successfully distinguished five types of body fluids from single sources (peripheral blood, semen, saliva, menstrual blood, and vaginal secretion) and generated DNA methylation profiles in mixed samples of two to four body fluids in varying proportions. The cumulative discrimination power for personal identification was calculated to be 1-3.5120 × 10-25. Additionally, semen and vaginal secretion with 0.1ng DNA input or kept at room temperature for 5 months could still be efficiently identified. This study provides a promising method for simultaneously identifying body fluids and their donors in forensic science.

Revolutionizing Blood Banks: AI-Driven Fingerprint-Blood Group Correlation for Enhanced Safety

Identification of a person is central in forensic science, security, and healthcare. Methods such as iris scanning and genomic profiling are more accurate but expensive, time-consuming, and more difficult to implement. This study focuses on the relationship between the fingerprint patterns and the ABO blood group as a biometric identification tool. A total of 200 subjects were included in the study, and fingerprint types (loops, whorls, and arches) and blood groups were compared. Associations were evaluated with statistical tests, including chi-square and Pearson correlation.The study found that the loops were the most common fingerprint pattern and the O+ blood group was the most prevalent. Discussion: Even though there was some associative pattern, there was no statistically significant difference in the fingerprint patterns of different blood groups. Overall, the results indicate that blood group data do not significantly improve personal identification when used in conjunction with fingerprinting.Although the study shows weak correlation, it may emphasize the efforts of multi-modal based biometric systems in enhancing the current biometric systems. Future studies may focus on larger and more diverse samples, and possibly machine learning and additional biometrics to improve identification methods. This study addresses an element of the ever-changing nature of the fields of forensic science and biometric identification, highlighting the importance of resilient analytical methods for personal identification.

Study of the Relationship between Assertiveness, Personal Identity and Self-Relationship Parameters in Young Educational Specialists

Introduction. The relevance of the problem is due to the importance of studying personal qualities that contribute to the adaptation of an individual to society and professional activity. One of such qualities is assertiveness as a person's ability to achieve their own goals without harming other people and without violating their rights.Objective. Identify the relationship between assertiveness, personal identity, and self-relationship parameters in young specialists in the sphere of education.Materials and Methods. The assertiveness questionnaires of V. P. Sheinov and A. S. Devitsyn, L. B. Schneider's personal identity, and S. R. Panteleev's self-relationship questionnaires were used as diagnostic tools. The results were processed using correlation analysis, Pearson's dichotomous correlation coefficients, and point-biserial correlation coefficients.Results. A total of 83 young specialists in the field of education in Cherepovets, Vologda Oblast (96.39% of the sample were women) aged up to 35 years, with an experience of 2 months to 3 years, participated in the study. A positive connection of the low level of assertiveness (passive) with two identity statuses was revealed: premature identity and moratorium identity. A positive relationship was also found with parameters of self-relationship such as closedness, inner conflict, self-blame, and a negative relationship with self-confidence, self-value, and reflected self-relationship. The medium level of assertiveness (assertive) correlates positively with achieved identity status, as well as self-confidence, self-management, and self-value, and negatively with internal conflict and self-accusation. High level of assertiveness (persistent) is positively correlated with hyperidentity and closedness as a characteristic of self-relationship, and negatively with self-management and self-acceptance.Discussion. During the discussion, it is concluded that the most optimal for the successful functioning of personality is the combination of the average level of assertiveness ("assertive") with achieved identity and positive parameters of self-relationship, especially self-acceptance and self-management, which give the opportunity to manifest their subjectivity most fully on the basis of self-acceptance. The results obtained can be used in the process of working with young professionals in the educational sphere during their adaptation to the educational organization.

Illness perceptions as predictive factors for anxiety and depressive symptoms among patients with coronary heart disease.

Individuals diagnosed with Coronary Heart Disease (CHD) form specific perceptions about their condition. These illness perceptions (IP) influence several clinical and mental aspects of patients' health outcomes. To describe IP in Jordanian patients with CHD and to examine the role of IP domains in predicting anxiety and depressive symptoms in Jordanian patients with CHD. In a cross-sectional study, a convenience sample of 193 patients with CHD, who visited the cardiac clinic for routine follow-up, completed the brief illness perception questionnaire and the Hospital Anxiety and Depression Scale. Participants perceived CHD as a chronic condition with moderate negative consequences and they were highly concerned about their illness. Illness perceptions domains were significantly associated with anxiety and depressive symptoms. Personal control, treatment control, and disease identity were significant predictors of depressive symptoms, while personal control and emotional representation were significant predictors of anxiety symptoms. Findings indicate that negative illness perceptions are strongly associated with anxiety and depressive symptoms. Study findings suggest that interventions targeting personal control, treatment control, identity, and emotional representation could improve CHD patients' mental well-being.

Talking to Myself: AI and Self-Knowledge

ABSTRACT The idea that technology can change not only our lives but also our sense of identity and even our nature does not arise first in the internet age. The rapid pace of technological development and its centrality to our current way of life does, however, make questions about whether and how it does so particularly urgent now. This paper considers a recent application in which artist-scientist Michelle Huang fed selections from her youthful journals to GPT-3 and had an extended conversation with a bot representing her younger self. It looks at two specific goals Huang had for the conversation – discovering what her younger self would think of her current life and furthering her inner child work – and argues that these presuppose different conceptions of diachronic personal identity. Both are goals that have been more traditionally pursued with imaginary internal dialogues. I explain how introducing a chatbot and using it for both goals conflates different conceptions of personal identity and speculates about how widespread use of this application and others like it might potentially affect our sense of self and personal identity.