Face Of Person Research Articles

“My Little Cyborg”: Human, Machine, and the Philosophical Paradoxes of Difficult Humanism

In many ways, ideas about humans and humanity (often contested in modern decolonisation studies) are rooted in the Western European tradition. The humanities themselves arise from the European Renaissance. Thus, addressing the question of the importance of technology for modern humanities research leads to the question of the essence of the human and the technical. To answer this question, the authors turn to the interpretations of twentieth-century Western European thinkers, since Europe is the source of (sometimes contradictory) ideas about humanity. Every attempt at a philosophical analysis of the problem of modern technologies returns to the question about humans, their past, their future and, of course, their present. This article considers some philosophical, anthropological, and medical aspects of the process of cyborgisation of a modern human—from the implantation of microchips into human organs to the complete replacement of some organs with artificial ones, or even the creation of additional organs that do not exist in nature. The problem statement is accompanied by a philosophical analysis of texts by different European authors who have addressed the problems of technology. Technology, which inevitably accompanies humanity throughout the history of its existence, puts a person face to face with the radically Other, inhuman machine. Thus, a technical object is a product of culture and at the same time produces an ethos, a habitat. Cyborg, the technical improvement of human nature, derives from a purely human way of existence, but also produces a special world of technically advanced people—those who already possess non-human properties and qualities. What, then, is a cyborg? Is domestication possible by introducing technical, inanimate objects into living human beings? Will this process lead to the creation of a new cyborg ethics or to the destruction of humans and their replacement by the machine?

Impact of Ageism on the Social Wellbeing of Older Adults: Evidence from a Geriatric Home in Lagos, Nigeria

The paper examined the impact of ageism on social wellbeing of older adults. The main objective of the study is to evaluate the impact of ageism on the social wellbeing of older adults. These includes the impact of ageism on social connection, social support and on their social inclusion. Ageism is a very serious issue as it shown in terms of positive stereotypes or attitudes; it is most closely associated with negative stereotypes or attitudes. The study used mixed research method to analyse the opinion of participants. The data collected through structured questionnaire and interview guide were analysed with descriptive and Focus Group Discussion (FGD). The study concluded that there is significant impact of ageism on social wellbeing of older person in the society as ageism affect their social connection, support and exclusion with younger generation. Furthermore, the result to a very negative stereotype in the social connection, support and exclusion older person faces in the society. Some of these discriminations are imposed by the younger generation who feel that older adults in the society are less important and difficult to relate with. Some attitude and perceptions portrays by younger generation against older persons are offensive and discriminative. The study recommended that public education, creating opportunities for older and younger people to interact advocate for stricter policies that protect older adults from age-based discrimination in all social settings, including workplaces and public services will help to reduce the discrimination that exist in the society.

A Review of CNN-Based Object Recognition and Tracking Systems for Visually Impaired People

Visually impaired persons (VIPs) face significant challenges in navigating their environments, impacting their independence and quality of life. This paper reviews recent advancements in assistive technologies aimed at enhancing mobility and safety for VIPs. It explores various systems, including wearable devices, object detection technologies, and navigation aids, highlighting their functionalities, limitations, and potential future develop- ment. The integration of machine learning and sensor technologies has led to innovative solutions that provide realtime feedback and improved spatial awareness for users. VIPsneed assistance in performing daily tasks such as object detection, obstacle recognition,and navigation, particularly in indoor and outdoor environments. The paper emphasizes the importance of protecting and ensuring the safety of VIPs. Devices typically use sensors like infrared, ultrasonic, and imagery to gather environmental data, which is then processed by machine learning techniques. Users receive feedback via auditory or vibratory means. The paper provides a comprehensive comparative analysis of assistive devices, discussing their key attributes, challenges, and limitations, along with a score-based evaluation to help select appropriate devices for specific needs

Face Image Recognition by using some Dimension Reduction Algorithms and Logistic Regression

Face recognition is a common technique for artificial intelligence and image processing in which machine-learning algorithms automatically recognize a person's face through a huge image collection or even from a live video since there is difficulty in detecting data when using different shots for the same person in a facial recognition system, it takes time to determine person's membership. Furthermore, when working with high-dimensional data, where the 2D-pixel values of facial images, can be computationally challenging, the face recognition problem gets harder, so the current research compares the dimensionality reduction techniques like the principal component analysis algorithm PCA, an unsupervised learning algorithm that reduces dimensions by moving them from a high-dimensional area to a lower area without losing important information, and the two-dimensional principal component analysis algorithm 2DPCA to determine which technique is most effective for the process of detecting facial images, and this method will be compared with the logistic regression which is a statistical model for face recognition that has been used for classification tasks. Two different sets of data were used, the first group represented the ORL database, which was made up of 40 individuals, while the second group represented the real data, which was made up of 100 individuals from AL-Mamoon College, the results showed that the logistic regression model achieved the lowest MSE for ORL dataset and real data by achieving (0.0024414, 0.091936) respectively, followed by 2DPCA and PCA and all three techniques reached the highest accuracy rate of 100% for facial image recognition on real data. Paper type: Research paper

Into the Nexus of disability, mobility aid and travel Behavior-A Tale from a South Asian City

Into the Nexus of disability, mobility aid and travel Behavior-A Tale from a South Asian City

Teaching Nigerian Heterosexual University Students About Homophobia, Heterosexual Privilege, Anti-LGB Oppression and the Need to Promote Social Justice and Social Inclusion for LGB Persons

ABSTRACT This article reports the findings, reflections and lessons learnt from teaching a module on anti-LGB oppression, heterosexual privilege, homophobia and the need for LGB inclusion. It reports the knowledge learnt by heterosexual-identifying university students in Nigeria and their attitudes and responses toward the challenges facing LGB persons. The author draws on evidence from brainstorming sessions, group discussions and other participatory methodologies utilized. The teaching intervention exposed the prejudice, stereotypes and implicit biases of the heterosexual-identifying students toward LGB persons and highlighted the importance of challenging these views in order to disrupt heterosexism. Many participants acknowledged their heterosexual privileges and the disadvantages LGB persons face in society. The teaching intervention led to an increase in the awareness of participants about homophobia and heterosexism as shown by the sympathy the students expressed toward LGB persons who face homophobic victimization and stress. The teaching intervention revealed that some participants have the potentials of becoming heterosexual allies of LGB persons and possibly agents of change in challenging heterosexism and homophobia in Nigeria. The intervention revealed some factors which influenced some students to agree with confronting heterosexism and homophobia as well as factors which contribute to the reluctance of heterosexual-identifying students in assimilating knowledge on anti-heterosexism.

Individual differences in emotion prediction and implications for social success.

The social world requires people to predict others' thoughts, feelings, and actions. People who successfully predict others' emotions experience significant social advantages. What makes a person good at predicting emotions? To predict others' future emotional states, a person must know how one emotion transitions to the next. People learn how emotions transition from at least two sources: (a) internal information, or one's own emotion experiences, and (b) external information, such as the social cues detected in a person's face. Across five studies collected between 2018 and 2020, we find evidence that both sources of information are related to accurate emotion prediction: individuals with atypical personal emotion transitions, difficulty understanding their own emotional experiences, and impaired emotion perception displayed impaired emotion prediction. This ability to predict others' emotions has real-world social implications. Individuals who make accurate emotion predictions have better relationships with their friends and communities and experience less loneliness. In contrast, disruptions in both internal and external information sources explain prediction inaccuracy in individuals with social difficulties, specifically with social communication difficulties common in autism spectrum disorder. These findings provide evidence that successful emotion prediction, which relies on the perception of accurate internal and external data about how emotions transition, may be key to social success. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

LINGUISTIC AND LINGUOPRAGMATIC CHARACTERISTICS OF THE CATEGORY "RESPECT" IN ENGLISH AND UZBEK

This article investigates the linguistic and linguopragmatic characteristics of the concept of "respect" in English and Uzbek, focusing on how cultural norms shape the expression of respect in these languages. Through a comparative analysis, the study examines the lexical, syntactic, and pragmalinguistic strategies used to convey respect, revealing key differences and similarities. In English, respect is often associated with individualism and conveyed through politeness strategies that protect personal autonomy and face. In contrast, Uzbek reflects a collectivist society where respect is more hierarchical, embedded in formal language structures such as honorifics and polite pronouns. This research underscores the importance of understanding cultural differences in linguistic expressions of respect, particularly in cross-cultural communication.

Drug-drug interactions between gender-affirming hormone therapy and antiretrovirals for treatment/prevention of HIV.

Transgender persons face a greater burden of HIV compared to cisgender counterparts. Concerns around drug-drug interactions (DDIs) have been cited as reasons for lower engagement in HIV care and lower pre-exposure prophylaxis (PrEP) uptake among transgender populations. It is therefore imperative for hormone therapy, PrEP and antiretroviral therapy providers to understand the DDI potential between these therapies. Studies of tenofovir disoproxil fumarate (TDF)/emtricitabine (FTC) PrEP with feminizing hormone therapies (FHTs) show reduced plasma tenofovir concentrations, but intracellular concentrations of tenofovir-diphosphate are not reduced. Efficacy of PrEP is expected to be maintained despite this interaction. Masculinizing hormone therapies have no effect on tenofovir concentrations but may increase FTC to a nonclinically relevant extent. No interactions between FHT and cabotegravir or tenofovir alafenamide have been demonstrated. Administration of TDF/FTC PrEP has no effect on hormone levels in transmen or transwomen. PrEP is expected to be effective and safe in transpersons and should be provided to high-risk individuals regardless of gender affirming hormone use. Enzyme inducing/inhibiting antiretroviral therapy may decrease or increase, respectively, the concentrations of FHT and masculinizing hormone therapy. Unboosted integrase inhibitors or enzyme neutral non-nucleoside reverse transcriptase inhibitors are not expected to affect and are not affected by gender affirming hormones and can be considered in transmen and transwomen. Overlapping toxicities including weight gain, dyslipidaemia, cardiovascular disease and bone density effects should be considered, and antiretroviral modifications can be made to minimize toxicities. Interactions between supportive care medications should be assessed to avoid chelation interactions and hyperkalaemia.

Quarantine Order Violators System using Face Recognition (FACID)

Face recognition technology is commonly utilized for user authentication and verification by analysing a digital image of a person's face and matching it against a database of faces for identification purposes. The COVID-19 pandemic has led to mandatory quarantines and the use of quarantine bracelets for some individuals, which can be time-consuming and require a lot of effort. Face recognition technology can help raise awareness about the current situation and alleviate some of the burden associated with quarantine measures. The aim of this research is to concentrate on the face recognition of individuals with a history of quarantine, as a measure to prevent the spread of COVID-19 in educational institutions like universities, colleges, and schools. This research study concentrates on individuals with a history of quarantine orders. The system will employ the Histograms of Oriented Gradients (HOG) algorithm for face detection. Additionally, the system will utilize the Face Landmark Algorithm to compare the 128-d vector with images stored locally. The system will make use of the Helen face collection dataset for its data requirements. The aim of this study is to explore and identify techniques for detecting individuals who violate quarantine measures and issuing notifications through the proposed system. By implementing this system, it could contribute to creating a more secure environment within the educational institution and potentially reduce the spread of the virus.

Improving the Appearance of a Person's Face with Sunken Cheeks using a Removable Magnetic Cheek Plumper with Bilateral Balanced Occlusion: A Case Report

Improving the Appearance of a Person's Face with Sunken Cheeks using a Removable Magnetic Cheek Plumper with Bilateral Balanced Occlusion: A Case Report

The gratitude and mental health of student in East Kalimantan, Indonesia

PurposeHigh levels of mental health disorders in students can affect their academic activity. Students should think positively to control the mental health disturbances they experience. This study aims to address the mental health problems of students by increasing their gratitude because gratitude is the key to facing the problems that a person faces. Therefore, the study focuses on finding the influence of gratitude on student mental health disorders.Design/methodology/approachThe subjects in this study were 420 students in Eastern Kalimantan using quantitative methods with gratitude scales GQ-6 and DASS-21. Data collection method with online questionnaires to be analyzed with regression analysis.FindingsThe findings of this study empirically show that gratitude has a significant and positive effect on mental health (depression, anxiety, and stress). This shows that gratitude has an important effect on mental health in students. If gratitude is higher, then anxiety and stress decreases significantly. This study aims can serve as a foundation for student mental health improvement programs.Research limitations/implicationsThis study was cross-sectional, which makes it impossible to conclude a causal relationship between the variables. Therefore, future research should use more advanced research methods, including longitudinal and experimental studies. Another potential limitation that could bias the results is the fact that the data were based solely on self-reports. Then, the study group included a larger proportion of female students than male students.Practical implicationsThis study provides a deeper understanding of the importance of gratitude in maintaining mental health. Gratitude has been shown to have a positive correlation with increased psychological well-being, decreased levels of depression and increased resilience in the face of everyday stress and challenges in college students at private univesity and state university.Originality/valueThis research changes students' mindset to always be grateful by thinking positively during the teaching and learning process at university. Many students complain about the current conditions, especially related to study assignments, differences in the teaching and learning process at school. This study is useful for students to reduce mental health disorders at university.

Vitriol attack on a young woman in Greece: The story of Ioanna's response.

An acid attack is a deliberate act of violence. Sulphuric acid is thrown at a person's face and body with the intention of harming and disfiguring the victim. Sulphuric acid is a dangerous weapon which can cause very serious injuries including severe skin damage, blindness, significant disfigurement and/or permanent disability. We report the case of Ioanna, a 34-year-old woman who was attacked with vitriol by a jealous woman in May 2020. Following her admission to hospital, where Ioanna was an inpatient for 85 days, she underwent nine operations. Since her discharge she has undergone ten more, with further interventions likely in the future. In addition, she has undergone various treatments and procedures to restore her skin. Ioanna's courage and strength has inspired thousands of young children and adults who cope with a variety of health problems.

Acquisition and generalization of emotional and neural responses to faces associated with negative and positive feedback behaviours.

Faces can acquire emotional meaning by learning to associate individuals with specific behaviors. Here, we investigated emotional evaluation and brain activations toward faces of persons who had given negative or positive evaluations to others. Furthermore, we investigated how emotional evaluations and brain activation generalize to perceptually similar faces. Valence ratings indicated learning and generalization effects for both positive and negative faces. Brain activation, measured with functional magnetic resonance imaging (fMRI), showed significantly increased activation in the fusiform gyrus (FG) to negatively associated faces but not positively associated ones. Remarkably, brain activation in FG to faces to which emotional meaning (negative and positive) was successfully generalized was decreased compared to neutral faces. This suggests that the emotional relevance of faces is not simply associated with increased brain activation in visual areas. While, at least for negative conditions, faces paired with negative feedback behavior are related to potentiated brain responses, the opposite is seen for perceptually very similar faces despite generalized emotional responses.

A Comparative Study of Chinese and English Refusal Language Strategies

Using 80 short video examples about refusal language strategies on Douyin short videos as a corpus, this study explores the commonality and individuality, as well as the contradictory relationship between Chinese and British countries in the use of refusal language strategies by combining manual and graphical data analyses. It is found that Chinese people use more indirect ways of using refusal speech acts, and British and American countries use more direct ways of using refusal speech acts. In addition to this, both Chinese and British countries use non-verbal behavior to reject speech as a way of protecting the positive face of the addressee and reducing the threatening behavior to the face of the other party. This study also found that the ambivalent relationship between the emergence of refusal language strategies in both China and Britain is related to their personal psychological state, social values, and personal face. The results of this study have some values for sociology as well as pragmatics, which is conducive to the maintenance of interpersonal relationships.

15-minute cities, ‘walkability’ and last millimeter problems

The 15-minute city concept is about planning and building cities so that most essential activities can be accessed within 15-minutes of a residence on foot or by bicycle. The possibilities and limitations of the concept for disabled persons have yet to be fully considered. Here I centre disability in a hopeful critique of concepts central to 15-minute city implementation. I argue that greater attention should be given to what I call last millimeter problems, barriers within small spaces (e.g. subway platform gaps) disabled persons face in transportation systems and the built environment that can make any city, including a 15-minute city, an impassable city.

REAL TIME FACE AND GENDER DETECTOR

This research paper provides an excellent way to do this detect and detect a person's face using OpenCV, as well python which is part of in-depth learning. This report contains ways in which in-depth learning is an important part of a computer science can be used to determine faces using several libraries in OpenCV and python. This report will contain a proposed program that will assist in finding a person face in real time. This application can be used in various locations device and smartphone platforms, as well as several software applications. Keywords: Python, OpenCV, In-depth Reading, Face Discovery

Examining the experiences of vulnerably housed patients visiting Kingston, Ontario’s emergency departments: a qualitative analysis

IntroductionVulnerably housed individuals access emergency departments (EDs) more frequently than the general population. Despite Canada’s universal public health care system, vulnerably housed persons face structural barriers to care and experience discrimination from healthcare providers. This study examines how vulnerably housed persons perceive their experience of care in the ED and Urgent Care Center (UCC) in Kingston, Ontario and aims to develop strategies for improving care for this group.MethodsAs part of a larger mixed-methods study, narratives were collected from participants attending the ED/UCC as well as community-based partner organizations, asking them to describe an experience of a recent ED visit (< 24 months). Participants could identify as members of up to three equity-deserving groups (EDGs) (for example homeless, part of an ethnic minority, having a disability, experiencing mental health issues). Coding and thematic analysis were completed for the experiences of participants who identified as being vulnerably housed (n = 171). Results were presented back to individuals with lived experience and service providers working with clients with unstable housing.ResultsParticipants reported judgement related to a past or presumed history of mental health or substance use and based on physical appearance. They also often felt unheard and that they were treated as less than human by healthcare providers. Lack of effective communication about the ED process, wait times, diagnosis, and treatment led to negative care experiences. Participants reported positive experiences when their autonomy in care-decision making was respected. Furthermore, having a patient-centered approach to care and addressing specific patient needs, identities and priorities led to positive care experiences.ConclusionsThe ED care experiences of vulnerably housed persons may be improved through healthcare provider training related to trauma-informed and patient-centered care and communication strategies in the ED. Another potential strategy to improve care is to have advocates accompany vulnerably housed persons to the ED. Finally, improving access to primary care may lead to reduced ED visits and better longitudinal care for vulnerably housed persons.

Participation of transgender and gender diverse persons in cardiovascular clinical trials

Transgender persons face increased risk in developing cardiovascular diseases due to administration of hormonal therapy used for gender expression, or due to the presence of other risk factors, such as minority stress and difficulty to have full access to health care. Even though the need for gender diversity in research has been identified, the number of clinical trials including transgender persons remains low. The aim of this study was to highlight gaps in inclusion of transgender individuals in cardiovascular clinical research. A search in the pubmed.com database, as well as in the clinicaltrials.gov repository, was performed with search terms regarding transgender persons and cardiovascular diseases. The inclusion of transgender persons in cardiovascular clinical trials was evaluated. This study revealed that there is only a small number of cardiovascular clinical trials including or studying transgender persons. This finding demonstrates the overall lack of clinical trials regarding cardiovascular health in transgender individuals and is indicative of their under-representation in clinical research.

Face Recognition Using LBPH and CNN

Objective:: The purpose of this paper was to use Machine Learning (ML) techniques to extract facial features from images. Accurate face detection and recognition has long been a problem in computer vision. According to a recent study, Local Binary Pattern (LBP) is a superior facial descriptor for face recognition. A person's face may make their identity, feelings, and ideas more obvious. In the modern world, everyone wants to feel secure from unauthorized authentication. Face detection and recognition help increase security; however, the most difficult challenge is to accurately recognise faces without creating any false identities. Methods:: The proposed method uses a Local Binary Pattern Histogram (LBPH) and Convolution Neural Network (CNN) to preprocess face images with equalized histograms. Results:: LBPH in the proposed technique is used to extract and join the histogram values into a single vector. The technique has been found to result in a reduction in training loss and an increase in validation accuracy of over 96.5%. Prior algorithms have been reported with lower accuracy when compared to LBPH using CNN. Conclusion:: This study demonstrates how studying characteristics produces more precise results, as the number of epochs increases. By comparing facial similarities, the vector has generated the best result.