Search results for: mental images

Authors: Leonid Rybakovski

Abstract:

Contemporary media offer a variety of themes for the diverse tastes of their audiences. The Digital games medium was mostly perceived as an instrument of entertainment. But being a part of global trends while constantly pushing the boundaries of storytelling in virtual reality and standing on the edge of technology also brings huge responsibility for game designers around the globe. A very recent emerging topic over the last years was an individual's mental state. In recent years there has been a shift in mental problems representations in commercial game releases such as Hell blade: Senua's Sacrifice and Sea of Solitude. The aim of this study is to research the approach of mental illness representation in media and digital games over the years and to suggest alternatives for putting characters who suffer from mental illness at the forefront of the storyline. This study traces dominant representations of characters with mental illness in digital games, reflecting the major change of the game industry toward inclusiveness. At the same time, the research embraces a hybrid approach to the academic study of digital games and includes the development of a game that follows a post-traumatic young girl, forcing the users to live her life through her eyes. The game prototype was developed as part of the Mdes Game Design and Development program and consisted of academic research and game development practices.

Keywords: framing analysis, mental condition, up keying, game mechanics

Procedia PDF Downloads 173

Authors: S. R. M. Krishna, R. Santosh Kumar, V. Kamakshi Prasad

Abstract:

Machine learning techniques are applied for the analysis of the impact of mental illness on the burden of disease. It is calculated using the disability-adjusted life year (DALY). DALYs for a disease is the sum of years of life lost due to premature mortality (YLLs) + No of years of healthy life lost due to disability (YLDs). The critical analysis is done based on the Data sources, machine learning techniques and feature extraction method. The reviewing is done based on major databases. The extracted data is examined using statistical analysis and machine learning techniques were applied. The prediction of the impact of mental illness on the population using machine learning techniques is an alternative approach to the old traditional strategies, which are time-consuming and may not be reliable. The approach makes it necessary for a comprehensive adoption, innovative algorithms, and an understanding of the limitations and challenges. The obtained prediction is a way of understanding the underlying impact of mental illness on the health of the people and it enables us to get a healthy life expectancy. The growing impact of mental illness and the challenges associated with the detection and treatment of mental disorders make it necessary for us to understand the complete effect of it on the majority of the population.

Keywords: ML, DAL, YLD, YLL

Procedia PDF Downloads 36

Authors: Sally Kafelghazal

Abstract:

Introduction: Arab Americans, who include immigrants, refugees, or U.S. born persons of Middle Eastern or North African descent, may experience significant difficulties during acculturation to Western society. Influential stressors include relocation, loss of social support, language barriers, and economic factors, all of which can impact mental health. There is limited research investigating the effects of acculturation on the mental health of the Arab American population. Objectives: The purpose of this study is to identify ways in which acculturation impacts the mental health of Arab Americans, specifically the development of depression and anxiety. Method: A literature search was conducted using PubMed and PsycArticles (ProQuest), utilizing the following search terms: “Arab Americans,” “Arabs,” “mental health,” “depression,” “anxiety,” “acculturation.” Thirty-nine articles were identified and of those, nine specifically investigated the relationship between acculturation and mental health in Arab Americans. Three of the nine focused exclusively on depression. Results: Several risk factors were identified that contribute to poor mental health associated with acculturation, which include immigrant or refugee status, facing discrimination, and religious ideology. Protective factors include greater levels of acculturation, being U.S. born, and greater heritage identity. Greater mental health disorders were identified in Arab Americans compared to normative samples, perhaps particularly depression; none of the articles specifically addressed anxiety. Conclusion: The current research findings support the potential association between the process of acculturation and greater levels of mental health disorders in Arab Americans. However, the diversity of the Arab American population makes it difficult to draw consistent conclusions. Further research needs to be conducted in order to assess which subgroups in the Arab American population are at highest risk for developing new or exacerbating existing mental health disorders in order to devise more effective interventions.

Keywords: arab americans, arabs, mental health, anxiety, depression, acculturation

Procedia PDF Downloads 81

Authors: Jie Li, Nick Manning

Abstract:

The mass rural-urban migrants in China associated with the urbanization processes bear significant implications on public health, which is an important yet under-researched area. Urban social and built environment, such as noise, air pollution, high population density, and social segregation, has the potential to contribute to mental illness. In China, rural-urban migrants are also faced with institutional discrimination tied to the hukou (household registration) system, through which they are denied of full citizenship to basic social welfare and services, which may elevate the stress of urban living and exacerbate the risks to mental illness. This paper aims to link the sociospatial exclusion, everyday life experiences and its mental health consequences on rural to urban migrants living in the mega-city of Shanghai. More specifically, it asks what the daily experience of being a migrant in Shanghai is actually like, particularly regarding sources of stress from housing, displacement, service accessibility, and cultural conflict, and whether these stresses affect mental health? Secondary data from literature review on migration, urban studies, and epidemiology research, as well as primary data from preliminary field trip observations and interviews are used in the analysis.

Keywords: migration, urbanisation, mental health, China

Procedia PDF Downloads 372

Authors: Meera Shanker

Abstract:

Excellent education and financial need have encouraged Indian women to go out and work in well-paid and high-status occupations. In the era of cutthroat competition, women are expected to work hard to produce the desired result; hence, workload and expectations haveincreased. At home, they are anticipated to take care of family members, children, and household work. Women are stretching themselves mechanically to remain in the job competition and try to give their best at home. Consequentially, they are under tremendous pressure, stressed, and having issues related to physical-mental wellness. Mental healthcare is often ignored and not accepted due to a lack of awareness and cultural barriers. These further compounds the problem, resulting in decreased productivity in economic terms and an increase in stress-related physical-mental ailments. The main objective of the study was to find out the impact of stress on the physical-mental wellbeing of working women in India, along with their awareness and acceptability related to mental health. Six hundred and one woman working at various levels took part in this study, responding to the items related to stress and physical-mental illness. Finally, 21 items were retained under four meaningful factors measuring stress dimensions along with 17 items with three factors measuring physical-mental wellbeing. Confirmatory Factor Analysis (CFA), path analysis, in Structural Equation Modeling (SEM), was used to get a relationship, validity of the instruments. The psychometric properties of items and Cronbach’s Alpha reliabilities calculated for the subscales were relatively acceptable. The subscale correlations, regression, and path analysis of stress dimensions with physical-mental illness were found to be positive, indicating the growing stress among working women in India, which is impacting their physical-mental health. Single item analysis revealed that 77 percent of women have never visited psychologists. However, 70 percent of working women were not ready to seek the help of a psychologist.

Keywords: working women, stress, physical-mental well-being, confirmatory factor analysis

Procedia PDF Downloads 185

Authors: Jeffrey Chase

Abstract:

Historically the profession of Occupational Therapy was closely tied to the treatment of those suffering from mental illness; more recently, and especially in the U.S., the percentage of OTs identifying as working in the mental health area has declined significantly despite the estimate that by 2020 behavioral health disorders will surpass physical illnesses as the major cause of disability worldwide. In the U.S. less than 10% of OTs identify themselves as working with the mentally ill and/or practicing in mental health settings. Such a decline has implications for both those suffering from mental illness and the profession of Occupational Therapy. One reason cited for the decline of OT in mental health has been the limited research in the discipline addressing mental health practice. Despite significant advances in technology and growth in the field of neuroscience, major institutions and funding sources such as the National Institute of Mental Health (NIMH) have noted that research into the etiology and treatment of mental illness have met with limited success over the past 25 years. One major reason posited by NIMH is that research has been limited by how we classify individuals, that being mostly on what is observable. A new classification system being developed by NIMH, the Research Domain Criteria (RDoc), has the goal to look beyond just descriptors of disorders for common neural, genetic, and physiological characteristics that cut across multiple supposedly separate disorders. The hope is that by classifying individuals along RDoC measures that both reliability and validity will improve resulting in greater advances in the field. As a result of this change NIH and NIMH will prioritize research funding to those projects using the RDoC model. Multiple disciplines across many different setting will be required for RDoC or similar classification systems to be developed. During this shift in research methodology OT has an opportunity to reassert itself into the research and treatment of mental illness, both in developing new ways to more validly classify individuals, and to document the legitimacy of previously ill-defined and validated disorders such as sensory integration.

Keywords: global mental health and neuroscience, research opportunities for ot, greater integration of ot in mental health research, research and funding opportunities, research domain criteria (rdoc)

Procedia PDF Downloads 275

Authors: Peyman Sheikholharam Mashhadi

Abstract:

Difficulties in analyzing real world images in classical image processing and machine vision framework have motivated researchers towards considering the biology-based vision. It is a common belief that mammalian visual cortex has been adapted to the statistics of the real world images through the evolution process. There are two well-known successful models of mammalian visual cortical cells: Independent Component Analysis (ICA) and Independent Subspace Analysis (ISA). In this paper, we statistically analyze the dependencies which remain in the components after applying these models to the natural images. Also, we investigate the response of feature detectors to gratings with various parameters in order to find optimal parameters of the feature detectors. Finally, the selectiveness of feature detectors to phase, in both models is considered.

Keywords: statistics, independent component analysis, independent subspace analysis, phase, natural images

Procedia PDF Downloads 339

Authors: Dipti Patra, Guguloth Uma, Smita Pradhan

Abstract:

Registration is a fundamental task in image processing. It is used to transform different sets of data into one coordinate system, where data are acquired from different times, different viewing angles, and/or different sensors. The registration geometrically aligns two images (the reference and target images). Registration techniques are used in satellite images and it is important in order to be able to compare or integrate the data obtained from these different measurements. In this work, mutual information is considered as a similarity metric for registration of satellite images. The transformation is assumed to be a rigid transformation. An attempt has been made here to optimize the transformation function. The proposed image registration technique hybrid PSO-GA incorporates the notion of Particle Swarm Optimization and Genetic Algorithm and is used for finding the best optimum values of transformation parameters. The performance comparision obtained with the experiments on satellite images found that the proposed hybrid PSO-GA algorithm outperforms the other algorithms in terms of mutual information and registration accuracy.

Keywords: image registration, genetic algorithm, particle swarm optimization, hybrid PSO-GA algorithm and mutual information

Procedia PDF Downloads 408

Authors: Nick Alex

Abstract:

Consciousness is inseparably connected with energy. Based on panpsychism, consciousness is a fundamental substance that emerged with the birth of the Universe from a continuous four-dimensional continuum. It consists of a physicalist form of consciousness characteristic of all matter and a mental form characteristic of neural networks. Due to the physicalist form of consciousness, metabolic processes were formed, and life in the form of living matter emerged. It is the same for all living matter. Mental consciousness began to develop 3000 million years after the birth of the Universe due to the physicalist form of consciousness, with the emergence of neural networks. Mental consciousness is individualized in contrast to physicalist consciousness. It is characterized by cognitive abilities, self-identity, and the ability to influence the world around us. Each level of consciousness is in its own homeostasis environment.

Keywords: continuum, physicalism, neurons, metabolism

Procedia PDF Downloads 28

Authors: A. Yamaoka, S. Yukawa

Abstract:

Mind wandering is a mental phenomenon of drifting away from a current task or external environment toward inner thought. This research examines the feature of mind wandering which people who have high creativity and high mental health engage in because it is expected that mind wandering which such kind of people engage in may not induce negative affect, although it can improve creativity. Sixty-seven participants were required to complete questionnaires which measured their creativity and mental health. After that, researchers conducted experience sampling method and measured the details of their mind wandering and the situation when mind wandering was generated in daily life for three days. The result showed that high creative people and high mental health people more think about positive things during mind wandering and less think about negative things. In further research, researchers will examine how to induce positive thought during mind wandering and how to inhibit negative thought during mind wandering. Doing so will contribute to improve creative problem solving without generation of negative affect.

Keywords: creativity, experience sampling method, mental health, mind wandering

Procedia PDF Downloads 173

Authors: Eman A. Gani, Loay E. George, Faisel G. Mohammed, Kamal H. Sager

Abstract:

Digital retinal images are more appropriate for automatic screening of diabetic retinopathy systems. Unfortunately, a significant percentage of these images are poor quality that hinders further analysis due to many factors (such as patient movement, inadequate or non-uniform illumination, acquisition angle and retinal pigmentation). The retinal images of poor quality need to be enhanced before the extraction of features and abnormalities. So, the segmentation of retinal image is essential for this purpose, the segmentation is employed to smooth and strengthen image by separating the background and damaged areas from the overall image thus resulting in retinal image enhancement and less processing time. In this paper, methods for segmenting colored retinal image are proposed to improve the quality of retinal image diagnosis. The methods generate two segmentation masks; i.e., background segmentation mask for extracting the background area and poor quality mask for removing the noisy areas from the retinal image. The standard retinal image databases DIARETDB0, DIARETDB1, STARE, DRIVE and some images obtained from ophthalmologists have been used to test the validation of the proposed segmentation technique. Experimental results indicate the introduced methods are effective and can lead to high segmentation accuracy.

Keywords: retinal images, fundus images, diabetic retinopathy, background segmentation, damaged areas segmentation

Procedia PDF Downloads 403

Authors: Lindelwa Pepu

Abstract:

Visual Arts and Visual Literacy are defined with distinction from one another. Visual Arts are known for art forms such as drawing, painting, and photography, just to name a few. At the same time, Visual Literacy is known for learning through images. The Visual Literacy phenomenon may be attributed to the use of images was first established for creating memories and enjoyment. As time evolved, images became the center and essential means of making contact between people. Gradually, images became a means for interpreting and understanding words through visuals, that being Visual Arts. The purpose of this study is to present the analogy of the two terms Visual Arts and Visual Literacy, which are defined and compared through early practicing visual artists as well as relevant researchers to reveal how they interrelate with one another. This is a qualitative study that uses an interpretive approach as it seeks to understand and explain the interest of the study. The results reveal correspondence of the analogy between the two terms through various writers of early and recent years. This study recommends the significance of the two terms and the role they play in relation to other fields of study.

Keywords: visual arts, visual literacy, pictures, images

Procedia PDF Downloads 166

Authors: Helena Baffoe

Abstract:

Context: In the United States, there have been significant advancements in programs aimed at improving the lives of individuals with mental health disorders and substance abuse problems. However, public attitudes and beliefs regarding these issues have not improved correspondingly. This study aims to explore the perceptions and beliefs surrounding mental health disorders and substance abuse in the context of data analytics in the field of social work. Research Aim: The aim of this research is to provide empirical evidence on the beliefs and perceptions regarding mental health disorders and substance abuse. Specifically, the study seeks to answer the question of whether being diagnosed with a mental disorder implies a diagnosis of substance abuse. Additionally, the research aims to analyze the specific roles that social workers can play in addressing individuals with mental disorders. Methodology: This research adopts a data-driven methodology, acquiring comprehensive data from the Substance Abuse and Mental Health Services Administration (SAMHSA). A noteworthy causal connection between mental disorders and substance abuse exists, a relationship that current literature tends to overlook critically. To address this gap, we applied logistic regression with an Instrumental Variable approach, effectively mitigating potential endogeneity issues in the analysis in order to ensure robust and unbiased results. This methodology allows for a rigorous examination of the relationship between mental disorders and substance abuse. Empirical Findings: The analysis of the data reveals that depressive, anxiety, and trauma/stressor mental disorders are the most common in the United States. However, the study does not find statistically significant evidence to support the notion that being diagnosed with these mental disorders necessarily implies a diagnosis of substance abuse. This suggests that there is a misconception among the public regarding the relationship between mental health disorders and substance abuse. Theoretical Importance: The research contributes to the existing body of literature by providing empirical evidence to challenge prevailing beliefs and perceptions regarding mental health disorders and substance abuse. By using a novel methodological approach and analyzing new US data, the study sheds light on the cultural and social factors that influence these attitudes.

Keywords: mental health disorder, substance abuse, empirical evidence, logistic regression with IV

Procedia PDF Downloads 64

Authors: W. S. Besbas, M. A. Artemi, R. M. Salman

Abstract:

Content based face sketch retrieval can be used to find images of criminals from their sketches for 'Crime Prevention'. This paper investigates the problem of CBIR of face sketch images in transform domain. Face sketch images that are similar to the query image are retrieved from the face sketch database. Features of the face sketch image are extracted in the spectrum domain of a selected transforms. These transforms are Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Walsh Hadamard Transform (WHT). For the performance analyses of features selection methods three face images databases are used. These are 'Sheffield face database', 'Olivetti Research Laboratory (ORL) face database', and 'Indian face database'. The City block distance measure is used to evaluate the performance of the retrieval process. The investigation concludes that, the retrieval rate is database dependent. But in general, the DCT is the best. On the other hand, the WHT is the best with respect to the speed of retrieving images.

Keywords: Content Based Image Retrieval (CBIR), face sketch image retrieval, features selection for CBIR, image retrieval in transform domain

Procedia PDF Downloads 493

Authors: Khadija Bouzaachane, El Mahdi El Guarmah

Abstract:

The classification of low-resolution satellite images has been a worthwhile and fertile field that attracts plenty of researchers due to its importance in monitoring geographical areas. It could be used for several purposes such as disaster management, military surveillance, agricultural monitoring. The main objective of this work is to classify efficiently and accurately low-resolution satellite images by using novel technics of deep learning and reinforcement learning. The images include roads, residential areas, industrial areas, rivers, sea lakes, and vegetation. To achieve that goal, we carried out experiments on the sentinel-2 images considering both high accuracy and efficiency classification. Our proposed model achieved a 91% accuracy on the testing dataset besides a good classification for land cover. Focus on the parameter precision; we have obtained 93% for the river, 92% for residential, 97% for residential, 96% for the forest, 87% for annual crop, 84% for herbaceous vegetation, 85% for pasture, 78% highway and 100% for Sea Lake.

Keywords: classification, deep learning, reinforcement learning, satellite imagery

Procedia PDF Downloads 213

Authors: Mustafa Jahanara

Abstract:

The purpose of the current study is to examine the relationships between hope, optimism and mental health (psychological well-being and psychological distress) among students. A total of 222 students (132 males and 90 females) at the University of Pune from India completed inventories Revision of the Life Orientation Test (LOT-R), the Trait Hope Scale (THS) and the Mental Health Inventory (MHI) that assessed their optimism, hope and psychological well-being and psychological distress. The results of the study showed that optimism and hope were significantly correlated with each other. Optimism is positively related to psychological well-being and optimism is negatively related to psychological distress. Also, hope was positively related to psychological well-being. However, the findings suggest that optimism and hope could influence on mental health.

Keywords: Hope, optimism, psychological distress, psychological well-being

Procedia PDF Downloads 328

Authors: Samabia Tehsin, Sumaira Kausar

Abstract:

Due to the vast increase in the multimedia data in recent years, efficient and robust retrieval techniques are needed to retrieve and index images/ videos. Text embedded in the images can serve as the strong retrieval tool for images. This is the reason that text extraction is an area of research with increasing attention. English text extraction is the focus of many researchers but very less work has been done on other languages like Urdu. This paper is focusing on Urdu text extraction from video frames. This paper presents a text detection feature set, which has the ability to deal up with most of the problems connected with the text extraction process. To test the validity of the method, it is tested on Urdu news dataset, which gives promising results.

Keywords: caption text, content-based image retrieval, document analysis, text extraction

Procedia PDF Downloads 516

Authors: Mohammed-Hareef Asunramu, Sana Hashemi, Raja Ohri, Luc Worthington, Nadia Zaman, Junkai Zhu

Abstract:

Background: The 2012 Health and Social Care Act committed to a ‘parity of esteem between mental and physical health services. Although this investment, aimed to both increase the quality of services and ensure the retention of mental health staff, questions remained regarding its ability to prevent mental health problems. One possible solution is a focus on the social determinants of health which have been shown to impact mental health. Aim: To examine the relationship between the index of multiple deprivations (IMD) and the prevalence of common mental health disorders (CMD) for CCGs in NHS England between 2019 and 2020. Design and setting: Cross-sectional analysis of 189 CCGs in NHS England. Methods: A multivariate linear regression model was utilized with CMD as outcome variable and IMD, age and ethnicity as explanatory variables. Datasets were obtained from Public Health England and the latest UK Census. Results: CCG IMD was found to have a significantly positive relationship with CMD. For every 1-point increase in IMD, CMD increases by 0.25%. Ethnicity had a significantly positive relationship with CMD. For every 1% increase in the population that identifies as BME, there is a 0.03% increase in CMD. Age had a significantly negative relationship with CMD. For every 1% increase in the population aged 60+, there is a 0.11% decrease in CMD. Conclusion: This study demonstrates that addressing mental health issues may require a multi-pronged approach. Beyond budget increases, it is essential to prioritize health equity, with careful considerations towards ethnic minorities and different age brackets.

Keywords: deprivation, health inequality, mental health, social determinants

Procedia PDF Downloads 127

Authors: Chi-Yueh Hsu, Hsuan-Liang Hsu, Hsiu-Hui Chiang

Abstract:

This study is to explore the relationship between the conspicuous consumption, leisure involvement and physical and mental health, and to understand the prediction of conspicuous consumption and leisure involvement to physical and mental health. The data was collected and analysed by purposive sampling, and the research objects were the dog walkers in Taiwan area. A total of 300 questionnaires were issued and after shaving the invalid questionnaire, a total of 246 valid samples were collected, and the effective rate was 82%.. The data were analyzed by correlation analysis and multiple stepwise regression analysis. The results showed that there was a significant correlation between conspicuous consumption and leisure involvement, and the conspicuous consumption and leisure involvement of dog walkers have a significant impact on physical and mental health, especially in self-expression, attractiveness and centrality of leisure involvement have a significant impact on physical and mental health.

Keywords: walking dog, attractiveness, self-expression, multiple stepwise regression analysis

Procedia PDF Downloads 261

Authors: Mohamad Musa

Abstract:

The history of mental health practices and services in the Middle East region has been deeply intertwined with its rich cultural, religious, and societal context. Tracing back to ancient times, mental health approaches were heavily influenced by the traditions of major monotheistic religions, with a strong emphasis on spiritual and traditional healing methods. As psychiatric institutions and Western medicine gradually gained a foothold in the region during the 20th century, a notable shift occurred. However, the integration of Western psychiatric practices faced significant challenges due to cultural barriers and deeply rooted beliefs. Families and communities often turned to traditional healers and religious practices as their initial recourse for mental health concerns, viewing Western interventions with skepticism and hesitation. Historically, mental health services in the Middle East have been overshadowed by a focus on physical health and the biomedical model. Mental illness carried substantial stigma, with individuals and families often reluctant to disclose mental health struggles due to fears of societal ostracization and discrimination. This stigma posed a significant barrier to accessing and accepting formal mental health support. Later in the 20th century, governments in the Middle East began recognizing the need for modernizing mental health services and integrating them into the broader healthcare system. However, this process was hindered by several factors, including limited resources, inadequate training for healthcare professionals, and ongoing conflicts and instability in certain regions, which disrupted the delivery of mental health services. As the 21st century progressed, several Middle Eastern nations, particularly those in the Arabian Gulf region, began implementing national mental health strategies and legislative reforms to address the growing need for comprehensive mental health care. These efforts aimed to destigmatize mental illness, protect the rights of individuals with mental health conditions, and promote public awareness and education. Despite these positive developments, the historical legacy of stigma, cultural barriers, and limited resources continues to pose challenges in the provision of accessible and culturally responsive mental health services across the diverse populations of the Middle East.

Keywords: mental health, history, middle east, literature review

Procedia PDF Downloads 31

Authors: Dongyeob Han, Jungwon Huh, Quang Huy Tran, Choonghyun Kang

Abstract:

Unmanned Aerial Vehicles (UAVs) have been used for surveillance, monitoring, inspection, and mapping. In this paper, we present a systematic approach for automatic registration of UAV images for monitoring facilities such as building, green house, and civil structures. The two-step process is applied; 1) an image matching technique based on SURF (Speeded up Robust Feature) and RANSAC (Random Sample Consensus), 2) bundle adjustment of multi-temporal images. Image matching to find corresponding points is one of the most important steps for the precise registration of multi-temporal images. We used the SURF algorithm to find a quick and effective matching points. RANSAC algorithm was used in the process of finding matching points between images and in the bundle adjustment process. Experimental results from UAV images showed that our approach has a good accuracy to be applied to the change detection of facility.

Keywords: building, image matching, temperature, unmanned aerial vehicle

Procedia PDF Downloads 292

Authors: Hamed Ouattara, Pierre Duthon, Frédéric Bernardin, Omar Ait Aider, Pascal Salmane

Abstract:

In this article, we present three neural network architectures for real-time classification of weather conditions (sunny, rainy, snowy, foggy) from images. Inspired by recent advances in style transfer, two of these architectures -Truncated ResNet50 and Truncated ResNet50 with Gram Matrix and Attention- surpass the state of the art and demonstrate re-markable generalization capability on several public databases, including Kaggle (2000 images), Kaggle 850 images, MWI (1996 images) [1], and Image2Weather [2]. Although developed for weather detection, these architectures are also suitable for other appearance-based classification tasks, such as animal species recognition, texture classification, disease detection in medical images, and industrial defect identification. We illustrate these applications in the section “Applications of Our Models to Other Tasks” with the “SIIM-ISIC Melanoma Classification Challenge 2020” [3].

Keywords: weather simulation, weather measurement, weather classification, weather detection, style transfer, Pix2Pix, CycleGAN, CUT, neural style transfer

Procedia PDF Downloads 0

Authors: Bo Wang

Abstract:

This paper proposes a method that can estimate PM2.5 by the images of GF-1 Satellite that called WFOV images (Wide Field of View). AOD (Aerosol Optical Depth) over land surfaces was retrieved in Shanghai area based on DDV (Dark Dense Vegetation) method. PM2.5 information, gathered from ground monitoring stations hourly, was fitted with AOD using different polynomial coefficients, and then the correlation coefficient between them was calculated. The results showed that, the GF-1 WFOV images can meet the requirement of retrieving AOD, and the correlation coefficient between the retrieved AOD and PM2.5 was high. If more detailed and comprehensive data is provided, the accuracy could be improved and the parameters can be more precise in the future.

Keywords: remote sensing retrieve, PM 2.5, GF-1, aerosol optical depth

Procedia PDF Downloads 244

Authors: Li Yuan

Abstract:

Objective: The combination of group psychology and Sertraline was used to explore the impact on the mental health status of adolescent patients with first-episode depression. Methods: A total of 118 adolescent depressed patients admitted to Yan'an University Hospital from October 2023 to August 2024 were divided into control group and observation group by random single blind method with 59 patients in each group. The two groups were treated with Sertraline, the control group received usual care, and the observation group used the usual care. The scores of mental health status and sleep quality index were compared between the two groups. Results: In intra-group comparison, the mental health status and sleep quality of the observation and control groups were better than the pre-intervention scores, and the difference was statistically significant (P <0.05). Post-intervention comparison: HAMA and HAMD scores were (12.36 ± 2.13) and (11.78 ± 2.02), significantly lower than (16.52 ± 2.09) and (15.79 ± 2.46), respectively (all P <0.05); PSQI score was (7.66 ± 1.05) and significantly lower (9.88 ± 3.01), with statistically significant difference (P <0.05). Conclusion: Self-regulation can improve their mental health and sleep quality.

Keywords: group psychotherapy, Sertraline, adolescent, depression, mental health status

Procedia PDF Downloads 26

Authors: Myung-Soo Lee, Sun-Jin Jo, Kyoung-Sae Na, Joo-Eon Park

Abstract:

Early intervention after a disaster is important for recovery of disaster victims and each country has its own professional mental health service system such as Disaster Psychiatric Assistant Team in Japan and Crisis Counseling Program in the USA. The purpose of this study was to determine key prior components of the Korean Disaster Psychiatric Assistant Team (K-DPAT) for building up Korean disaster mental health service system. We conducted an Analytic Hierarchy Process(AHP) with disaster mental health experts using pairwise comparison questionnaire which compares the relative importance of the key components of Korean disaster mental health service system. Forty-one experts answered the first online survey, and among them, 36 responded to the second. Ten experts were participated in panel meeting and discussed the results of the survey and AHP process. Participants decided the relative importance of the Korean disaster mental health service system regarding initial professional intervention as follows. K-DPAT could be organized at a national level (43.0%) or regional level (40.0%). K-DPAT members should be managed (59.0%) and educated (52.1%) by national level than regional or local level. K-DPAT should be organized independent of the preexisting mental health system (70.1%). Funding for K-DPAT should be from the Ministry of Public Safety and the system could be managed by Ministry of Health (65.8%). Experts agreed K-DPAT leader is suitable for key decision maker for most types of disaster except infectious disease. We expect new model for disaster mental health services can improve insufficiency of the system such as fragmentation and decrease the unmet needs of early professional intervention for the disaster victims.

Keywords: analytic hierarchy process, decision making, disaster, DPAT, mental health services

Procedia PDF Downloads 276

Authors: Ahmad Al-Zoabi

Abstract:

Development of research approaches for identifying images of the past in the built environment is at a beginning stage, and a review of the current literature reveals a limited body of research in this area. This study seeks to make a contribution to fill this void. It investigates the theoretical and empirical studies that examine the built environment as a medium for communicating the past in order to understand how images of the past are operationalized in these studies. Findings revealed that image could be operationalized in several ways depending on the focus of the study. Three concerns were addressed in this study when defining the image of the past: (a) to investigate an 'everyday' popular image of the past; (b) to look at the building's image as an integrated part of a larger image for the city; and (c) to find patterns within residents' images of the past. This study concludes that a future study is needed to address the effects of different scales (size and depth of history) of cities and of different cultural backgrounds of images of the past.

Keywords: architecture, built environment, image of the past, research approaches

Procedia PDF Downloads 315

Authors: Vivek Kumar

Abstract:

The effects of physical activity on the human body have been well understood. It just not only keeps us healthy and away from many diseases but also helpful in delay ageing. Those who exercise every day are physically as well as mentally strong. As the age advance, we often see that there is a loss of memory in the elderly people and their retention power weaken with time. The association between physical health and mental health of elderly people nowadays is an important topic of research. Many people at their old age who all were suffering from Alzheimer or Parkinson disease or were at the stage of dementia have been benefited significantly on exercise at daily basis. We would conduct a randomized control trial, where we will select a number of old age people (65 years old or above). These selected old age people will have some sorts of mental illness and currently receiving treatment for the same. We will divide them into 3 groups. The first group of people will receive their normal treatment i.e. taking medicines. The second group of people will receive medicine as well as will do exercise for 45 minutes every day in the early morning, the 3rd group of people will do exercise everyday for 45 minutes but will be given placebo instead of medicine. All the member of these groups will be monitored carefully for 6 months of time and making this sure that all the members of the group are taking medicines or doing exercise according to the group they belong to. The mental status of all the participants will be measured; the data will be analyzed accordingly. Expected results- This research will be helpful in establishing the effect of exercise on the mental health of the old age people. Also, it will be examined that whether the medicines along with regular exercise for can months can cure the mental illness significantly.

Keywords: mental health, elderly people, physical activity, randomized control trial

Procedia PDF Downloads 419

Authors: Nathaniel Carpenter

Abstract:

Web-enabled systems for supporting youth mental health management in Australia are pioneering in their field; however, with their success, these systems are experiencing exponential growth in demand which is straining an already stretched service. Supporting youth mental is critical as the lack of support is associated with significant and lasting negative consequences. To meet this growing demand, and provide critical support, investigations are needed on evaluating and improving existing online support services. Improvements should focus on developing frameworks capable of augmenting and scaling service provisions. There are few investigations informing best-practice frameworks when implementing e-mental health support systems for youth mental health; there are fewer which implement machine learning or artificially intelligent systems to facilitate the delivering of services. This investigation will use a case study methodology to highlight the design features which are important for systems to enable young people to self-manage their mental health. The investigation will also highlight the current information system challenges, to include challenges associated with service quality, provisioning, and scaling. This work will propose methods of meeting these challenges through improved design, service augmentation and automation, service quality, and through artificially intelligent inspired solutions. The results of this study will inform a framework for supporting youth mental health with intelligent and scalable web-enabled technologies to support an ever-growing user base.

Keywords: artificial intelligence, information systems, machine learning, youth mental health

Procedia PDF Downloads 110

Authors: Nesrine Boussaoui

Abstract:

Background: International students often encounter challenges while studying in the UK, including communication and language barriers, lack of social networks, and socio-cultural differences that adversely impact on their mental health. For Algerian international students (AISs), these challenges may be heightened as English is not their first language and the culture of their homeland is substantially different from British culture, yet research has to incorporate their experiences and perspectives. Aim: The current study aimed to explore AISs’ 1) understandings of mental health; 2) issues of disclosure for mental health difficulties; and 3) mental health help-seeking and coping strategies. Method: In-depth, audio recorded semi-structured interviews (n = 20) with AISs in UK universities were conducted. An inductive, reflective thematic approach analysis was used. Finding: The following themes and associated sub-themes were developed: (1) Algerian cultural influences on mental health understanding(socio-cultural comparisons); (2) the paradox of the family (pressure vs. support); (3) stigma and fear of disclosure; (4) Barriers to formal help-seeking (informal disclosure as first step to seeking help); (5) Communication barriers (resort to mother tongue to disclose); (6) Self-reliance and religious coping. Conclusion: Recognising and understanding the challenges faced by AISs in terms of disclosure and mental health help-seeking is essential to reduce barriers to formal help-seeking. Informal disclosure among peers is often the first step to seeking help. Enhancing practitioners’ cultural competences and awareness of diverse understandings of mental health and the role of religious coping among AISs’ may have transferable benefits to a wider international student population.

Keywords: mental health, stegma, coping, disclosure

Procedia PDF Downloads 142

Authors: Myriam Roy

Abstract:

The perspectives of the Togolese public towards mental illness were assessed, looking at religious affiliation, personal knowledge of someone with a mental illness, and education level as influencers. The goal was to observe which factors influenced most strongly the general public’s attitudes towards mental illness. The Togolese population was surveyed within the context of mental health awareness workshops and involved college and university students, rural community members, and company employees. Taylor and Dear’s Community Attitudes towards the Mentally Ill (CAMI) questionnaire was used to assess these influencers and includes four dimensions of community attitudes towards mental illness: authoritarianism, benevolence, social restrictiveness, and community mental health ideology (CMHI). Demographic questions were also included, tailored to the various realities of the Togolese population. These questions looked, among others, at religious, ethnical (region of origin within Togo), and educational background. It was found that religious affiliation and personal knowledge did not correlate significantly with changes in the four dimensions of the CAMI scale. It suggests that public perspectives towards mental illness might not be as associated with these variables as was previously thought. The dimensions, however, did correlate with themselves as was expected. Authoritarianism was associated positively with social restrictiveness, benevolence was associated negatively with social restrictiveness and positively with CMHI, and CMHI was associated negatively with social restrictiveness, indicating the CAMI did not suffer from reliability and validity issues when used with this population. Interestingly, level of education significantly impacted authoritarianism level, with higher education associated with a decrease in authoritarianism. This finding would support the notion that education is likely to provide access to a wide array of information as well as interaction with people from various backgrounds and situations. Providing increased awareness regarding mental health and illness in schools could be beneficial to favor the impact that education appears to have on public perspectives towards mental illness in Togo. Future studies could assess which mental health interventions in schools would be the most useful in Togo.

Keywords: CAMI questionnaire, cross-cultural psychology, stigma towards mental illness, West African psychology

Procedia PDF Downloads 135