Personality Features Research Articles

A COMPREHENSIVE REVIEW OF AGNI AND ITS ROLE IN THE ETIOPATHO-GENESIS OF THYROID DYSFUNCTION: A HIGHLY WIDESPREAD DISEASE

Ayurveda is an alternative medicine system that originated in the Indian subcontinent. Ayurveda believes that the universe is made up of five elements: Vayu (air), Jala (water), Aakash (space or ether), Prithvi (earth), and Teja (fire). Ayurveda emphasises the maintenance and promotion of health and the prevention of diseases through various dietary and lifestyle regimens and the treatment of diseases through various therapeutic measures, substantiating the principle “Swasthasya Swasthya Rakshanam,” i.e., preserving the health of healthy persons, and “Aturashya Vikar Prasamanam,” i.e., curing the diseases of the diseased. Sushruta has described the features of a healthy person, i.e., doshas must be in equilibrium, the digestive fire (Agni) must be in a balanced state, and the tissues (Dhatus) and Malas (wastes) must work in a normal state. Agni regulates numerous metabolic reactions, including digestion and cell growth. It is related to a stance or entity that brings about transformation in any form. It supports healthy digestion, joy, and happiness and preserves body tempera-ture and complexity. Thyroid hormones play a crucial part in maintaining homeostasis in the body and function in food digestion at the GI level, which assists in biochemical reactions at the tissue level and helps convert het-erogeneous chemicals to homogeneous ones. An imbalance in Thyroid hormones plays a crucial role in metabol-ic processes. Thyroid hormone functioning can be normal or disordered, similar to Agni in Ayurveda. Agni leads to various metabolic disorders like thyroid disorders. So here, an attempt is made to address the essential func-tions of thyroid hormones as a part of Agni.

Neural signatures of motor imagery for a supernumerary thumb in VR: an EEG analysis

Human movement augmentation is a rising field of research. A promising control strategy for augmented effectors involves utilizing electroencephalography through motor imagery (MI) functions. However, performing MI of a supernumerary effector is challenging, to which MI training is one potential solution. In this study, we investigate the validity of a virtual reality (VR) environment as a medium for eliciting MI neural activations for a supernumerary thumb. Specifically, we assess whether it is possible to induce a distinct neural signature for MI of a supernumerary thumb in VR. Twenty participants underwent a two-fold experiment in which they observed movements of natural and supernumerary thumbs, then engaged in MI of the observed movements. Spectral power and event related desynchronization (ERD) analyses at the group level showed that the MI signature associated with the supernumerary thumb was indeed distinct, significantly different from both the baseline and the MI signature associated with the natural thumb, while single-trial classification showed that it is distinguishable with a 78% and 69% classification accuracy, respectively. Furthermore, spectral power and ERD analyses at the group level showed that the MI signatures associated with directional movement of the supernumerary thumb, flexion and extension, were also significantly different, and single-trial classification demonstrated that these movements could be distinguished with 60% accuracy. Fine-tuning the models further increased the respective classification accuracies, indicating the potential presence of personalized features across subjects.

The digital cumulative complexity model: a framework for improving engagement in digital mental health interventions.

Mental health disorders affect a substantial portion of the global population. Despite preferences for psychotherapy, access remains limited due to various barriers. Digital mental health interventions (DMHIs) have emerged to increase accessibility, yet engagement and treatment completion rates are concerning. Evidence across healthcare where some degree of self-management is required show that treatment engagement is negatively influenced by contextual complexity. This article examines the non-random factors influencing patient engagement in digital and face-to-face psychological therapies. It reviews established models and introduces an adapted version of the Cumulative Complexity Model (CuCoM) as a framework for understanding engagement in the context of digital mental health. Theoretical models like the Fogg Behavior Model, Persuasive System Design, Self-Determination Theory, and Supportive Accountability aim to explain disengagement. However, none adequately consider these broader contextual factors and their complex interactions with personal characteristics, intervention requirements and technology features. We expand on these models by proposing an application of CuCoM's application in mental health and digital contexts (known as DiCuCoM), focusing on the interplay between patient burden, personal capacity, and treatment demands. Standardized DMHIs often fail to consider individual variations in burden and capacity, leading to engagement variation. DiCuCoM highlights the need for balancing patient workload with capacity to improve engagement. Factors such as life demands, burden of treatment, and personal capacity are examined for their influence on treatment adherence. The article proposes a person-centered approach to treatment, informed by models like CuCoM and Minimally Disruptive Medicine, emphasizing the need for mental healthcare systems to acknowledge and address the unique burdens and capacities of individuals. Strategies for enhancing engagement include assessing personal capacity, reducing treatment burden, and utilizing technology to predict and respond to disengagement. New interventions informed by such models could lead to better engagement and ultimately better outcomes.

Loan Defaults Prediction Based on Stacked Models Trained by Personalized Features

Training one machine learning model with features that all clients have will result in a waste of features, which is likely to adversely affect the model’s performance. To solve the problem, the study attempts a new method, which it to train an individual stacked model for each loan client based on personalised features. Data used contains information of about fifteen million loan applicants, their default status, and 468 features in all. 41 of the features that can be quantitively analysed are selected according to the feature importance output by a Random Forest model. Default prediction of every client is made by a stacked model trained with all selected features he/she has. The stacked model consists of two layers, in which a Light Gradient-Boosting Machine (LGBM) classifier is the base learner, and a Logistic Regression model is the meta learner. As the defaulters account for only 3.14%, which is significantly unbalanced, Area Under the Curve (AUC) and F1 scores are employed to evaluate the method, instead of accuracy. Test results show that models trained by personalised features perform better than the ones trained by shared features. Additionally, the stacked model outperforms individual Logistic Regression model, but performs nearly the same as individual LGBM Classifier. In detailed, the stacked models trained with personalised features result in AUC=0.772 and F1=0.188. Due to data unbalance, although the method’s F1 score is relatively low, it’s considered to be passable. In the future, stacked models combining different models will be attempted.

Правовий статус страховика як учасника договірних страхових відносин

Despite the regulation of insurance relations by Ukrainian legislation, due attention from both scientists and legislators requires the issue of improving the legal status of participants in insurance relations, determining their place in such relations in order to effectively protect their rights and interests. The purpose of the article is to study the legal status of the insurer as a participant in insurance contractual relations, analyze existing approaches to its determination, establish the features of the insurer's legal personality and provide proposals for further improvement of legislation in this area. A characteristic feature of an insurance contract as an independent type of civil legal obligations within the group of contracts for the provision of services is that the conclusion of insurance contracts is directly the subject of activity of specially authorized participants in civil relations – insurance organizations (insurers). It has been established that the insurer, as a participant in insurance contractual relations, is a legal entity that, being specially created to provide insurance services and having received a license for this in the prescribed manner, undertakes the obligation, in accordance with the terms of the contract or an indication of the law, to provide insurance to the insured for a certain fee, to carry out an insurance payment (insurance compensation) to the insured or beneficiary as a result of the occurrence of a certain event (insured event). In insurance contractual relations, the insurer can only have a legal entity on its side, which is empowered to carry out insurance activities only after receiving a special permit (license), which indicates that legal entities - insurers have special legal personality. An insurance organization is endowed with the general legal capacity of a legal entity with a special scope of legal capacity as a financial institution. Attention is drawn to the fact that a significant factor in the modernization of the civil legislation of Ukraine today is the global trend towards unification and harmonization of private law regulation, the formation of optimal legal norms for many areas of private law relations, including insurance. In this regard, the need is justified to determine at the legislative level the requirements for the insurer when it carries out certain types of compulsory insurance, which have their own specifics and provide for the creation of increased guarantees of protection for those persons who, due to objective circumstances, are exposed to increased risk and the extension of insurance protection to cases possible violation of public interests by the method of guaranteeing receipt of insurance payment (insurance compensation). It is concluded that the recodification of the civil legislation of Ukraine opens up prospects for a qualitative update of the legal regulation of insurance contractual relations and will contribute to the development of the provision of insurance services, strengthening of legal institutions in the field of insurance, raising the standards of providing insurance services and ensuring adequate protection of the rights of participants in insurance relations

The Role of Personality Features and Cognitive Avoidance Strategies in Cigarette Smoking Behavior

The Role of Personality Features and Cognitive Avoidance Strategies in Cigarette Smoking Behavior

USE OF TECHNOLOGIES OF HIGHER NERVOUS ACTIVITY AND PSYCHO-PHYSIOLOGICAL HUMAN FUNCTIONS STUDYING IN EXTREME CONDITIONS

Applied techniques and some results of studies the higher nervous activity (HNA) of the people, their psychophysiological functions (PFF) by Ukrainian scientists and doctors were described, as well as influences of extreme conditions on HNA. Aim. Results of the influence of extreme mountain conditions at high altitudes (hypoxia, etc.) demonstration and further research of changes in the psychophysiological functions of the brain under these conditions; description of the developed methods of professional selection. Methods. Comparative analysis of a large number of the data from experiments and observations. Physical, mathematical, program modeling. Methods of HNA, brain research: electroencephalography, diagnosis of personal neurodynamic features, etc. Three methods of PFF research: parameters of the neurodynamic level, parameters of the neuropsychological level, and personal specifics. The adapted questionnaire scheme (QS) based on Cattell's 16-factor personality tests was applied. Results. The influence of hypoxia and other factors of mountain conditions on HNA were studied deeply. The results were presented. Also, there were presented results of registered changes of EEG in such extreme conditions. The influence of a number of stress factors in extreme conditions (hypoxia, etc.) has been demonstrated. Some basic methods of HNA researches used in such conditions were described as well as results of investigations of individual typological features of the nervous systems were presented. Methods for human psychophysiological functions studying were described. Studies of human personal characteristics were described in details. Data recorded by the PNN-3 device were taken for the diagnosis of personal neurodynamic features. The parameters of the neuropsychological level were determined using the following methods: "triangles" (the level of development of short-term visual memory), "instrument scales" (working memory, attention functions, etc.), and "red and black tables" (allocation and switching of attention). Personality structures, features, and types of behavior of operators in stressful situations were estimated basing on adapted QS by Cattell. Mathematical models of the reliability of human nervous system functioning under extreme conditions were developed. Conclusions. The obtained results were taken as the basis for the developed professional selection methods for special contingents, pilots, operators, etc. Physical, mathematical, and program models of the reliability of the human nervous system functioning in these conditions were proposed.

Neurofeedback Training in Children with ADHD: A Systematic Review of Personalization and Methodological Features Facilitating Training Conditions.

Objective. Current research on the effectiveness of neurofeedback (NFB) in children with attention-deficit/hyperactivity disorder (ADHD) is divided. Personalized NFB (pNFB), using pre-recorded individual electroencephalogram (EEG) features, is hypothesized to provide more reliable results. Our paper reviews available evidence on pNFB effectiveness and its methodological quality. Additionally, it explores whether other methodological features implying personalization are related to successful NFB. Methods. We conducted a systematic literature review on PubMed, PSYNDEX, PsycInfo and PsycArticles until November, 30, 2023. Studies that focused on pNFB in children with ADHD were selected, deviant studies excluded. Quality ratings by independent raters using Loney's1 criteria were conducted. Pooled effect sizes for NFB effects and methodological features were calculated. Results. Three of 109 studies included personalization and were reviewed in the full-text. In two studies, theta/beta-NFB was personalized using individual alpha peak frequencies (iAPF), whereas in one study, individual beta rhythms were trained. All three studies demonstrated significant short- and long-term improvements in ADHD symptoms, as assessed by questionnaires and objective performance tests, when compared to standard protocols (SP), sham-NFB, and control conditions. Twelve of 111 studies reported methodological features consistently related to NFB effectiveness. These features, including self-control instructions, feedback animations, timing of feedback presentation, behavioral performance, pre-recorded individual ERP-components and stimulant medication dosage, can be used to personalize NFB and enhance training success. Conclusion. Personalizing NFB with iAPF appears promising based on the existing -albeit small- body of research. Future NFB studies should include iAPF and other personalized features facilitating implementation consistently associated with treatment success.

Personality Traits of Academic Librarians and Their Knowledge Acquisition and Application Behavior

Abstract This study investigated the effect of the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) on knowledge acquisition and application by Pakistani university librarians. To increase their impact in academic institutions, it is imperative to examine how people acquire and apply knowledge within the field of librarianship. This study employed a quantitative research approach based on the survey research method. The Big Five personality inventory designed by John and Srivastava was adopted, however, measurement items related to knowledge acquisition and application behavior were developed with the help of the existing literature. The study population comprised academic librarians working in the university libraries of Pakistan, with a census sampling method used to collect data and 357 completed questionnaires received. The results indicated that extraversion, agreeableness, and openness to experience positively affect the university librarian’s knowledge acquisition, while neuroticism has a negative effect. The findings also revealed that extraversion and openness to experience positively affects academic librarians’ knowledge application behavior while neuroticism has a negative effective, however, conscientiousness and agreeableness personality traits were found to be insignificant predictors of the same. This study highlights the significant personality features contributing to knowledge acquisition and application behavior in academic libraries from a developing country’s perspective.

Psychometric Properties of Korean Version of Nonsuicidal Self-injury Inventory: Validation Study of Deliberate Self-harm Inventory.

This study aimed to develop a Korean version of the Nonsuicidal Self-injury Inventory (K-NSSI) through the Deliberate Self-harm Inventory (DSHI) developed by Gratz for the Korean context and confirm its reliability and validity for clinical application. A total of 188 participants were analyzed utilizing the DSHI, the Korean version of the Self-harm Inventory, the Personality Assessment Inventory-Borderline Features (PAI-BOR), and the DSM-5 Level-2-Depression scale (Level-2-Dep). Cronbach's α assessed their reliability, while frequency analysis examined the items of the K-NSSI scales. Validity of the K-NSSI was confirmed through correlation analyses between K-NSSI (tendency for and frequency of nonsuicidal self-injury [NSSI] behavior) and SHI, PAI-BOR total scale, four subscales of PAI-BOR, and Level-2-Dep scale. Polyserial correlations analyzed the correlation between the presence of NSSI behavior and other scales. Confirmatory factor analysis and structural equation modeling explored the relationship between borderline personality features and self-harm. Cronbach's α was 0.71, indicating an "acceptable" level of reliability. Statistically significant correlations were observed between the presence of NSSI behavior and the total scores of SHI and PAI-BOR, and the four subscales of PAI-BOR. The frequency of NSSI showed statistically significant correlations with the total score of SHI and PAI-BOR, and its four subscales. Notably, 13.8% of participants reported engaging in self-harm behaviors, 26.9% reported a single occurrence, and 73.1% reported two or more instances. Structural equation modeling demonstrated that self-harm adequately predicted borderline personality traits. This study successfully validated the adaptation of DSHI into K-NSSI. The K-NSSI can facilitate interventions for self-harm incidents.

Revolutionizing Learning Management Systems: Architecture of an AI-Based LMS with Instructor-driven Personalized Content Generation

The increasing advancement of machine learning (ML) and artificial intelligence (AI) technologies forces the modern practice of e-learning platforms to provide advanced services for their users. E-learning is no longer focused only on delivering high-quality learning resources, but also requires an advanced Learning Management System that is capable of understanding specific user needs. This paper introduces a new design for an AI-enhanced Learning Management System (LMS) that includes an automated content generation, translation, and personalization feature, significantly enhancing the core educational characteristics of such systems.

The Impact of Inflammatory Bowel Diseases on Patients' Quality of Life and Work Functionality: An Observational Study.

This study aimed to assess the employment status, quality of life, and work functionality in patients affected by inflammatory bowel diseases (IBDs). Patients (N = 216) were enrolled between June 2020 and October 2021. Personal, clinical, and occupational features were investigated. The Short Inflammatory Bowel Disease Questionnaire and the Work Productivity and Activity Impairment questionnaire were administered. Among the enrolled patients, 114 (53%) were employed. The mean absenteeism and presenteeism percentages of 10% and 37% were determined, with 44% and 39% of daily and work activity impairment, respectively. A poor Health-Related Quality of Life (HRQoL) was retrieved (47 ± 12). Extraintestinal manifestations, disease activity, and HRQoL were associated with occupational outcomes. IBD can impact patients' work functionality. The association between clinical, psychological, and occupational issues suggests the relevance for a multidisciplinary management of the disease.

Clinical cut-off scores for the Borderline Personality Features Scale for Children to differentiate among adolescents with Borderline Personality Disorder, other psychopathology, and no psychopathology: a replication study

BackgroundDespite being one of the most popular measures of borderline pathology in adolescents, only one study has evaluated clinical cut-off scores for the Borderline Personality Features Scale for Children (BPFS-C) using a small sample without a healthy comparison group (Chang B, Sharp C, Ha C. The Criterion Validity of the Borderline Personality Features Scale for Children in an Adolescent Inpatient Setting. J Personal Disord. 2011;25(4):492–503. https://doi.org/10.1521/pedi.2011.25.4.492.). The purpose of the current study was to replicate and improve on the limitations of the prior study conducted by Chang et al. to more definitively establish clinical cut-off scores for the self- and parent-report versions of the BPFS-C to detect clinical and sub-clinical borderline personality disorder (BPD) in a large sample of adolescents with BPD, other psychopathology, and no psychopathology.MethodsA total of 900 adolescents ranging from ages 12–17 participated in this study. The clinical sample consisted of 622 adolescents recruited from an inpatient psychiatric facility, and the healthy control sample consisted of 278 adolescents recruited from the community. All participants completed the BPFS-C and were administered the Child Interview for DSM-IV Borderline Personality Disorder (CI-BPD).ResultsUsing three-way ROC analyses, cut-off scores on the self- and parent-report versions of the BPFS-C distinguishing adolescents with BPD from those with subclinical BPD, and those with subclinical BPD from healthy adolescents were established.ConclusionsThese findings support the use of both versions of the BPFS-C to detect adolescents with BPD and sub-clinical BPD.

The native speaker model in Japan: constant and changing attitudes

ENGLISH ABSTRACT This paper describes a mixed methods study of Japanese first-year tertiary learners’ attitudes to English language learning models. It outlines the results from a survey comprised of a verbal guise test (measuring respondents’ attitudes to both linguistic and personality features) and vocabulary elicitation, which was administered to 87 participants. Following this, semi-structured interviews were conducted with 21 of these learners. Results of both the survey and interviews showed a strong preference for the native speaker model among participants, as well as negative views of localized Englishes. At the same time, participants were more likely to choose Japanese people as their ideal speaking models. In both cases, perceived personality, more than linguistic features, appeared to be a major factor behind participants’ attitudes. In addition, the findings showed the potential of Japanese language teachers’ use of English as a source of building student confidence, highlighting the importance of developing Japanese teachers’ confidence in their own Englishes.

Detection of JC and BK polyomaviruses in patients with colorectal cancer (CRC) by PCR

ABSTRACT Background Overall, 20–30% of all cancers are estimated to be linked to infectious agents. Polyomaviruses are oncogenic cause in rodent models, readily transform their cells, and cause chromosomal instability in animal and human cells in-vitro. Some reports have indicated the presence of JCPyV and BKPyV in some human tumors. The JCPyV and BKPyV genome encodes some transforming proteins such as LT-Ag. Thus, these viruses could cause or promote some neoplasia, such as lymphomas, pancreatic, prostate, and colorectal cancers. Colorectal cancer (CRC) is the third most common cancer in the world. Risk factors for developing CRC are associated with personal features or habits, such as age, lifestyle, and gut microbiota. Materials and Methods In this study, we examined the prevalence of JCPyV and BKPyV in the 23 fecal samples of CRC patients and 24 healthy samples (control group). Virus DNA was extracted by a Favorgen DNA extraction kit. The large T antigen of JCPyV and VP1 of BKPyV were investigated by optimized multiplex PCR. Results One of the samples was positive for the JCPyV (4.3%), while in the samples of healthy individuals, the JCPyV was negative. Also, positive results for BKPyV PCR were obtained for five cases (21.7%) in the samples of the CRC group and one case (4.1%) in healthy individuals. Conclusion The result showed no direct correlation between tumorigenesis and polyomavirus infections in CRC development. However, the exact role of BKPyV and JCPyV is still controversial and needs further study with larger sample size.

How Mobile Health Can Change the Contexts of Living With HIV and Engaging With Treatment and Care in Iran: A Realist-Informed Qualitative Study.

Mobile health (mHealth) interventions are increasingly used to address the challenges of living with HIV and engaging with antiretroviral therapy. A wealth of evidence supports the efficacy of mHealth in supporting living with HIV. Yet, there is a dearth of evidence on how mHealth improves outcomes, which features are effective, and why these work in a particular setting. This study uses stakeholder views, including patients, providers, peer supporters, counsellors, and program directors, to conceptualize how specific mHealth features could interact with contexts of living with HIV and mechanisms that shape engagement with treatment. The study is part of an ongoing research project on engagement with HIV care in Iran. We draw on the perspectives of recently diagnosed and more treatment-experienced patients and their providers, using purposive sampling, conducting 9 focus group discussions with a total of 66 participants, in addition to 17 interviews. Our findings suggest that mHealth designs that feature provider connection, proactive care, and privacy and personalization are expected to dilute the harsh contexts of living with HIV. We build on previously identified socioecological pathways that disrupt antiretroviral therapy in Iran and find that mHealth can enhance the relation between the health system and patients. Our findings suggest that personalized mHealth features and provisions can partially mitigate the compounded impacts of harsh socioecological pathways that impede treatment success in Iran. Our social constructivist study was augmented with realist-informed analysis and could have transferability to similar contexts that trigger similar mechanisms of treatment disruption.

'The Relationship Between Childhood Traumas and Social Cognition Through Theory of Mind and Alexithymia in Bipolar Disorder'.

This study aimed to investigate the potential differences in childhood trauma (CT), theory of mind (ToM), a significant component of social cognition, and alexithymia in bipolar disorder (BD) patients and healthy controls. The study included 50 BD patients who met the study criteria and were under follow-up at our clinic along with 50 healthy controls. The two groups were matched for age, gender, and educational status. A sociodemographic questionnaire, Childhood Trauma Questionnaire (CTQ), Toronto Alexithymia Scale (TAS), Dokuz Eylul Theory of Mind Index (DEZIKO), Hamilton Depression Rating Scale (HDRS), and Young Mania Rating Scale (YMRS) were applied to all participants. The CTQ-Total, TAS total, and DEZIKO total scores were significantly higher in the BD group compared to the healthy group (p < .001). A significant positive correlation was identified between the TAS total score and CTQ physical neglect (r = 0.472, p = .001), CTQ emotional neglect (r = 0.449, p = .001) and CTQ total scores (r = 0.5, p < .001) in the BD group. A statistically significant negative correlation was identified between the DEZIKO faux pas score and the CTQ physical neglect score (r = -0.437, p = .002). BD patients had more adverse childhood experiences, lower ToM abilities despite being in remission, and more pronounced alexithymic personality features compared to healthy controls. We also identified a relationship between ToM, alexithymia, and adverse childhood experiences in BD.

Эмпирическое исследование эгоцентризма как формы девиантного поведения в развитии моральной сферы личности

The relevance of study of egocentrism role in moral sphere development is conditioned by the necessity of deeper comprehension of interrelation between moral development and human social behavior determined by problematics related to deviant behavior manifestation. Due to this, the given article is directed to revelation of egocentrism features of young people and their relation to deviant behavior. To solve this task the empirical study, the main method of which became psychological techniques of egocentrism level diagnostics, of proneness to deviant behavior and techniques of values orientations system study, presenting the possibility to study personal features as integrated mark in relation to the possibility of deviant behavior revelation, was conducted. The study sample was composed by students of Dimitrovgrad engineering-technological institute — branch of NRNU MEPhI, in the age of 18–20 years, at the amount of 54 people (27 boys and 27 girls). Thanks to the conducted empirical study it was revealed that mechanism of interrelation between young people egocentrism and deviant behavior lies in the fact that they discover misrepresentation of self, and for them the overvaluation of own quantities is characteristic, at the same time there is little agreement of society ideas about themselves. Thus development of personality with egocentrism high level testifies deformation of development of communications to the people around, that causes difficulties in interactions to people. The presented results may be put in the basis of design of psychological-pedagogical program of preventing deviant behavior of young people.

Freelancing as an additional income: commercialization of personal ideas and activity features

Introduction. Ukraine has lost approximately 4.8 million jobs due to the Russian aggression, creating a significant deficit in traditional employment opportunities and leading to substantial internal migration and economic instability. The purpose of the paper is to systematically analyze the specific characteristics of freelancing as a form of additional income in Ukraine and to assess the potential for commercializing personal ideas through this form of employment. The study aims to provide a detailed examination of freelancing's economic content and organizational features and to highlight the skills and competencies freelancers acquire. Furthermore, it explores the legislative landscape and tax implications for freelancers in Ukraine, emphasizing the importance of this employment form in the current economic climate. Results. The study systematically identified and categorized the primary aspects of freelancing activities in Ukraine. Economically, freelancing is characterized as a form of labor organization where the worker provides professional services on a temporary or project basis while maintaining autonomy and self-employment. Key features of freelancing include self-employment, flexibility, project-based work, and the ability to work with multiple clients simultaneously. The research highlighted essential skills and competencies that freelancers develop. From an economic perspective, the paper analyzed how freelancers can commercialize their ideas, emphasizing the need for market adaptation, brand formation, initial investment, and intellectual property protection. The study also identified various opportunities for freelancers in the market and social networks across multiple fields. Legislative changes regulating labor relations and taxation of freelancers in Ukraine were examined, revealing the gradual legalization and normalization of freelance activities. Conclusion. The paper seeks to offer insights into how freelancing can serve as a viable alternative for those who have lost their jobs and how it can help sustain income levels and economic stability for displaced and other affected populations.

Person Re-ID: Tackling occlusion, labeled data, and privacy

Person re-identification (ReID) has become a critical component in various security and surveillance systems, necessitating accurate and robust identification of individuals across different camera views. The motivation for enhancing ReID systems stems from the need to improve public safety, prevent crime, and support forensic investigations. Despite significant advances, ReID faces several key challenges that hinder its deployment in real-world applications. This review paper addresses key challenges in person re-identification (ReID): overcoming occlusion, reducing dependence on labeled data, and addressing privacy concerns. Various techniques have been explored to tackle these issues effectively. For occlusion, part-based models, LCNNs, attention mechanisms, and adversarial training GANs have demonstrated robustness in capturing person features across diverse and complex environments. To mitigate dependence on labeled data, semi-supervised and unsupervised learning approaches leverage unlabeled data and self-learning capabilities. Additionally, multimodal fusion utilizes complementary information from different sources, significantly enhancing model generalization and performance. Privacy concerns are addressed through federated learning, which fosters collaboration across devices while safeguarding individual data privacy. In summary, this paper highlights diverse technological applications in ReID, offering valuable insights and guidance for future research and practical implementations in the field.