Life Of People Research Articles

Internalized Stigma and Quality of Life in Patients With Alcohol Use Disorder: A Cross-Sectional Study From Gujarat, India

Introduction: Substance use disorders (SUDs) contribute to one-fifth of all disability- adjusted life years caused by psychiatric illnesses. They have a high treatment gap. Stigma affects the lives of people with SUDs and is shown to impede the pursuit of valued life goals and recovery from addiction. We studied stigma and QOL in patients with Alcohol Use disorders (AUD). Methods: Participants between 18 and 65 years with a clinical diagnosis of AUD were included (inpatients and outpatients). Demographic and clinical data were recorded using a semistructured questionnaire. ISMIS & WHOQOL-Bref questionnaires were used to assess internalized stigma and quality of life. Results: Of the 141 participants, 89(63.10%) patients had severe self-stigma, 31(22.10%) patients had moderate self-stigma, and 21(14.90) patients had mild self-stigma. In ISMIS, stigma due to alienation (3.22) was higher than social withdrawal, discrimination, stereotype, and stigma resistance. In the WHOQOL-Bref questionnaire, the mean score of social domain (9.45) was the lowest compared to the other domains of the quality of life scale. A significant association was found between the education and the duration of substance use with ISMI grades with people with up to 10th standard education (p-value - 0.002*), living in urban areas (p-value - 0.022*), and ten or more years of substance use (p-value - 0.00002). Conclusion: The various domains of quality of life generally negatively correlated with the internalized stigma score, suggesting that a greater degree of self-stigma is associated with poorer quality of life.

Artificial Intelligence in The Management of Neurodegenerative Disorders.

Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological function. The ability to detect and treat these conditions successfully is crucial for ensuring the best possible quality of life for people who suffer from them. The development of effective new methods for managing and treating neurodegenerative illnesses has been made possible by recent developments in computer technology. In this overview, we take a look at the prospects for applying computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative diseases. To review the current state of the field, this article discusses the potential of computational methods for early disease detection, quantifying disease progression, and understanding the underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated with these approaches and potential future directions. Moreover, it delves into the creation of computational models for the individualization of care for neurodegenerative diseases. The article concludes with suggestions for future studies and clinical applications, highlighting the advantages and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.

Exploring the impact of smart cities on improving the quality of life for people with disabilities in Saudi Arabia

Exploring the impact of smart cities on improving the quality of life for people with disabilities in Saudi Arabia

Quality of Life Among Individuals With HIV in Jordan

Abstract Date Presented 03/22/24 This study will allow health care professionals to understand health-related quality of life (HRQoL) characteristics and help create and implement appropriate plans to enhance the quality of life for people living with HIV. Primary Author and Speaker: Mohammad Nazzal Additional Authors and Speakers: Sereen Abdallah Amayrh Contributing Authors: Alaa Oteir, Ala’A F. Jaber, Tareq Lewis Mukattash, Nihaya Adnan Al-Sheyab, Wafa’a Falah Ta’an, Maryam Ahmad Ghazo

Clinical characteristics and impact on patient-reported outcomes and quality of life of people with ambulatory secondary progressive multiple sclerosis: DISCOVER study

BackgroundPeople with secondary progressive multiple sclerosis (pwSPMS) experience increasing disability, which impacts negatively on their health-related quality of life (HRQoL). Our aims were to assess the impact of secondary progressive multiple sclerosis (SPMS) on functional status and HRQoL and describe the clinical profile in this population. MethodsDISCOVER is an observational, cross-sectional, multicenter study with retrospective data collection in real-world clinical practice in Spain. Sociodemographic and clinical variables, functional and cognitive scales, patient-reported outcomes (PROs), and direct healthcare, and non-healthcare and indirect costs were collected. ResultsA total of 297 evaluable pwSPMS with a EDSS score between 3-6.5 participated: 62.3% were female and 18.9% had active SPMS. At the study visit, 77% of them presented an Expanded Disability Scale Score (EDSS) of 6–6.5. Nearly 40% did not receive any disease-modifying treatment. Regarding the working situation, 61.6% were inactive due to disability. PROs: 99.3% showed mobility impairment in EuroQoL-5 Dimensions-5 Levels, and about 60% reported physical impact on the Multiple Sclerosis Impact Scale-29. Fatigue was present in 76.1%, and almost 40% reported anxiety or depression. The Symbol Digit Modalities Test was used to assess cognitive impairment; 80% of the patients were below the mean score.Participants who presented relapses two years before and had high EDSS scores had a more negative impact on HRQoL. PwSPMS with a negative impact on HRQoL presented a higher cost burden, primarily due to indirect costs. ConclusionsPwSPMS experience a negative impact on their HRQoL, with a high physical impact, fatigue, cognitive impairment, and a high burden of indirect costs.

Multidisciplinary Complex Treatment of Parkinson's disease : Cornerstone of an individualized treatment

The inpatient Parkinson's disease multimodal complex treatment (PD-MCT) was applied more than 15,000 times in 2022, in Germany. This number is increasing as is Parkinson's disease (PD), which affects more than 400,000 people in Germany and leads to 100,000 disability-adjusted life years. In recent years, several observational studies have been conducted on the effectiveness of this kind of multidisciplinary care. To summarize and discuss the evidence on the nature, benefits and potential of PD-MCT. Anarrative review of selected empirical findings was carried out. The PD-MCT frequently lasts for 2-3 weeks and aims to maintain the quality of life of people with PD. Disease symptoms and activities of daily living are jointly improved by pharmacological strategies and activating therapies (physiotherapy, occupational therapy, speech and language therapy, physical training, art therapy). The PD-MCT is auseful measure to avoid or mitigate crisis situations in the course of the disease. A total of eight observational studies (n = 1246) have shown good effectiveness with a total mean improvement of the International Parkinson and Movement Disorder Society unified Parkinson's disease rating scaleIII (MDS-UPDRSIII) by 7.8points. The transfer of effects into everyday life through intensive and specialized community-based care must be ensured in order to achieve sustained effects on the quality of life. Ideally, this transfer can be supported by integrated PD networks and digital technologies in the future. There is potential for development in the standardization, patient selection and quality assurance of PD-MCT as well as in the embedding in care structures such as PD networks. Open research questions include aprecise definition of the target group and higher quality evidence of short-term and long-term effectiveness.

Impact of Home Visit & Rehabilitation Programs on Elderly People Living Alone: A Systematic Review

Abstract Date Presented 03/21/24 This review evaluates programs for elderly adults living alone (2013-2022), confirming their benefit for mental and physical health. They could be useful in establishing programs in the field of OT in the future. Primary Author and Speaker: Hokyung Lee Contributing Authors: Ickpyo Hong, Yeonju Jin, Jiwon Hong, Sanghee Yoo

A Qualitative Exploration of the Educational Needs of People Living With Heart Failure: BANDAIDD-Explore Study

A Qualitative Exploration of the Educational Needs of People Living With Heart Failure: BANDAIDD-Explore Study

PROTECTION OF HUMAN RIGHTS AND ENSURING SOCIAL JUSTICE - A UNITED NATIONS PERSPECTIVE

Social justice is a concept that evolved through industrial revolution and with the advent of socialist views on the organization of the society. The concept has its roots in Anglo Saxon political culture which dominated in 10th century. It does not find place in the Bill of Human Rights which comprised the Universal Declaration of Human Rights which was adopted by the General Assembly in 1948 to ensure fundamental human rights for all and the two Covenants adopted in 1966. Whereas Human Rights are inherent rights that one has because one is human. The Preamble of the Universal Declaration of Human Rights states that recognition of the inherent dignity and of the equal and inalienable rights of all members of the human family is the foundation of freedom, justice and peace in the world. Human rights and social justice are not synonymous and are two different concepts but they are closely linked. The Universal Declaration of Human Rights includes economic, social and cultural rights such as the right to health, security in the event of unemployment, and education. In 1966, these rights were brought into the International Covenant on Economic, Social and Cultural Rights (ICESCR), part of the International Bill of Human Rights. With this The Vienna Declaration and Programme of Action affirm that Human rights education should include peace, democracy, development and social justice, as set forth in international and regional human rights instruments, in order to achieve common understanding and awareness with a view to strengthening universal commitment to human rights. Thus, social justice is based on the concept of human rights and equality and can be defined as the way in which the human rights are manifested in the lives of people at various levels of society. This paper analyses the concept of social justice & human rights from the UN perspective.

Household Fuelwood Consumption and Its Implication for Carbon Dioxide Emission

This review paper aims to gather informative data on the impact of climate extremes on the physical environment, public health, and the livelihoods of people in Ethiopia. The primary sources of data for this review were peer-reviewed journal articles obtained from electronic databases such as PubMed, Central, Scopus, and Web of Science. Globally, the vast majority of households in developing countries depend on wood energy for their daily energy needs. Such consumption trends are expected to remain a common feature of traditional wood energy production and consumption, at least in the short- to medium-terms. This situation increases the demand for firewood and charcoal from the forest. The process of harvesting standing trees for charcoal and fire wood leads to forest degradation. Although woody biomass has the function of energy consumption, and as a source of income for rural villagers and urban poor dwellers practicing agriculture, wood energy generally has low priority in national policies of developing countries. However, unsustainable management and negative environmental consequences in humid and dry forests is derived from the use of fuel wood energy. Still now there is an unsystematic assessment of the economic contribution and environmental consequences of wood energy use, so its significance and consequences have been minimized. This deforestation and forest degradation contributes 1–2.4 Gt CO2e of greenhouse gases, which is 2–7% of global anthropogenic emissions, with global greenhouse gas emissions mostly CO2.

Detection of network false information based on artificial intelligence models

There is often some false information in social platforms to mislead public opinion. Due to the rapid development of the Internet, the spread of false information on the Internet has become easier, which has brought many losses to people's economy and life. In this paper, the relevant research on false information based on bidirectional convolutional networks is analyzed, and the method is divided into four stages: data preprocessing, model architecture, training process and prediction process. Then, the relevant research on rumor detection by propagation tree kernel model are analyzed. Finally, this paper delineates a comprehensive framework that amalgamates enhanced Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and a hybridized Black Widow Optimization (BWO) with Moth Optimization Algorithm (MOA) (referred to as HM-BWO) for the accurate detection of network-based false information. This paper analyzes and discusses the challenges of poor universality and insufficient detection speed encountered by the current rumor detection research and puts forward the idea of introducing migration model to solve the problem of poor universality and Spark to solve the problem of insufficient detection speed. This article provides a good overview of the field of online disinformation.

Comparing the Impact of COVID-19 on Depression and Social Anxiety Disorder of Male and Female

This in-depth assessment of the literature aims to assess and compare how the COVID-19 pandemic has specifically impacted depression and social anxiety disorder in both males and females. By focusing on these two well-known mental health conditions, this essay seeks to lucubrate the complex interplay between gender dynamics and the pandemic's psychological effects. The study will carefully consider whether the various pandemic-related disruptions, such as extended social isolation, economic crises, and upheaval of daily routines, have had different effects on men and women in terms of the prevalence and severity of depression and social anxiety disorder. The study aims to highlight potential distinctions in the experience and expression of these mental health issues by examining the data via a gender-specific perspective. It will look into age-related variations, the impact of various social support networks, and the interaction within various societies in addition to gender disparities. The research intends to provide a thorough understanding of how people from varied gender origins manage their mental well-being in the face of the pandemic's difficulties by unraveling this complexity. By highlighting the gender-specific characteristics of depression and social anxiety disorder, the research hopes to advance our understanding of how the pandemic's effects affect all facets of people's lives.

Result and Analysis of Soft Computing Techniques for Diagnosis of Skin Diseases

Abstract: A prevalent bodily issue that has a significant impact on people's lives is skin disease. An early and precise identification of the condition can assist patients in receiving proper care, hastening their recovery. Convolutional neural networks (CNN) powered by deep learning have recently made major advancements that have greatly increased the accuracy of illness categorization. This led to the motivation for this work, which used deep CNN architectures to identify two different skin conditions—eczema and psoriasis. Ten fold cross validation has been utilized to examine the performance of five distinct cutting-edge CNN architectures. With the Adam optimizer, the Inception ResNet v2 architecture achieves a maximum validation accuracy of 97.1%. The results of the performance matrices suggest that the model performs remarkably well in terms of diagnosing skin disorders. Additionally, the study demonstrates two approaches for the practical application of the implemented model. (i) CNN Approach ii) PCA Approach.

Capturing Usability Problems for People Living With Dementia by Applying the DEMIGNED Principles in Usability Evaluation Methods: Mixed Methods Study.

Dementia-related impairments can cause complex barriers to access, use, and adopt digital health technologies (DHTs). These barriers can contribute to digital health inequities. Therefore, literature-based design principles called DEMIGNED have been developed to support the design and evaluation of DHTs for this rapidly increasing population. This study aims to apply the DEMIGNED principles in usability evaluation methods to (1) capture usability problems on a mobile website providing information resources for people visiting a memory clinic, including those living with subjective cognitive decline (SCD), mild cognitive impairment (MCI), or dementia, and (2) investigate the realness of usability problems captured by the DEMIGNED principles in expert testing, specifically for mobile websites that act as a means of providing DHTs. First, a heuristic evaluation was conducted, with the DEMIGNED principles serving as domain-specific guidelines, with 3 double experts (experienced in both usability and dementia) and 2 usability engineering experts. Second, think-aloud sessions were conducted with patients visiting a memory clinic who were living with SCD, MCI, or dementia. The heuristic evaluation resulted in 36 unique usability problems. A representative sample of 7 people visiting a memory clinic participated in a think-aloud session, including 4 (57%) with SCD, 1 (14%) with MCI, and 2 (29%) with dementia. The analysis of the think-aloud sessions revealed 181 encounters with usability problems. Of these encounters, 144 (79.6%) could be mapped to 18 usability problems identified in the heuristic evaluation. The remaining 37 (20.4%) encounters from the user testing revealed another 10 unique usability problems. Usability problems frequently described in the think-aloud sessions encompassed difficulties with using the search function, discrepancies between the user's expectations and the content organization, the need for scrolling, information overload, and unclear system feedback. By applying the DEMIGNED principles in expert testing, evaluators were able to capture 79.6% (144/181) of all usability problem encounters in the user testing of a mobile website for people visiting a memory clinic, including people living with dementia. Regarding unique usability problems, 50% (18/36) of the unique usability problems identified during the heuristic evaluation were captured by the user-testing sessions. Future research should look into the applicability of the DEMIGNED principles to other digital health functionalities to increase the accessibility of digital health and decrease digital health inequity for this complex and rapidly increasing population.

Internalization of Pancasila Values in High School Economic Learning in the Digital Era

Pancasila is the philosophy of life of the Indonesian people, which has never been swallowed up by the times. Therefore, the values of Pancasila are very important to be internalized by all Indonesian people so that what they do reflects the values of Pancasila. The efforts to internalize the values of Pancasila are through Economics education at the High School (SMA) level. Economic education in high school is reflected in the economic learning activities. This study aims to explain the importance of internalizing Pancasila values in high school economics learning in the digital age. The approach used in this research is a qualitative approach, by conducting a literature study (library research). The results and discussion of this study indicate that in the digital era, it is important to internalize the values of Pancasila in students through economic learning activities, so that they can become a strong fortress and life guide in dealing with any changes that occur in everyday life. The internalization process of Pancasila values is reflected in Economics learning activities, including 1) At the time of teaching, the teacher provides E-Learning guidelines based on Pancasila values in the field of Economics. 2) Teachers instill the values of Pancasila by providing examples of wise management of Economic activities and not destroying nature through visualization with sophisticated technology. 3) Giving group assignments in Economics learning that contains the values of Pancasila. 4) The teacher stimulates students to discuss when solving actual economic issues, both face-to-face and virtual (online). Keywords: internalization, Pancasila, economic learning, digital

A novel universal deep learning approach for accurate detection of epilepsy

Epilepsy claims the lives of many people, so researchers strive to build highly accurate diagnostic models. One of the limitations of obtaining high accuracy is the scarcity of Electroencephalography (EEG) data and the fact that they are from different devices in terms of the channels number and sampling frequency. The paper proposes universal epilepsy diagnoses with high accuracy from electroencephalography signals taken from any device. The novelty of the proposal is to convert VEEG video into images, separating some parts and unifying images taken from different devices. The images were tested by dividing the video into labeled frames of different periods. By adding the spatial attention layer to the deep learning in the new model, classification accuracy increased to 99.95 %, taking five seconds/frame. The proposed has high accuracy in detecting epilepsy from any EEG without being restricted to a specific number of channels or sampling frequencies.

The economy behind the forest: Understanding the effects of hunting and wildlife trade on the lives of tambrauw people

Backgorund: The objective of this study is to assess the usage and economic significance of non-timber forest products (NTFPs) derived from animal hunting and trading in Warmandi Village and Weyaf Village, located in the Tambrauw Regency of Southwest Papua. Method: The research employed a descriptive methodology with a quantitative orientation. The collection of primary data involved the use of observation, interviews, and questionnaires with 13 key respondents who are employed as hunters in the two communities. Findings: The findings revealed that the primary commodities consist of four distinct wildlife species, specifically deer, wild boar, Mambruk birds, and tree kangaroos. The annual economic value of non-timber forest products (NTFPs) derived from wildlife amounted to Rp175,680,000. Wild boar made the highest contribution, accounting for 61% of the total value, followed by deer at 31%, Mambruk birds at 7%, and tree kangaroos at 1%. Non-timber forest product (NTFP) use is conducted through diverse methods, which encompass the trade of unprocessed, processed, and conserved meat. Game products are sold not only in Tambrauw Regency but also in the markets of Manokwari and Sorong Regencies. Conclusion: This study emphasizes the significance of sustainable management and government oversight in harnessing the economic potential of wildlife non-timber forest products (NTFPs) for the well-being of local populations. Novelty/Originality of this article: By revealing the specific economic value of different wildlife species, this study provides new insights into the importance of sustainable NTFP management in complex socio-ecological contexts.

DIDACTIC ANALYSIS OF THE PANSLAVISTIC MYTHOLOGY IN THE PHILOSOPHICAL REFLECTIONS OF IVAN MIRCHUK

In the article, the author analyzes the views of the leading ideologues of the concept of pan-Slavism in the Russian Empire, who, according to Ivan Mirchuk, had a decisive influence on the formation of the modern ideological mythologeme of the hegemony of the Russian state on a planetary scale and contributed to the deepening of ideological differences between Western and Eastern civilizations. Using the example of the arguments of representatives of the Slavophile stream of Russian Pan-Slavism regarding its messianic role in the history of the Slavic peoples, the researcher proves the absurdity of the very idea of the superiority of one nation over another. At the same time, intelligence focuses the reader’s attention on those dangerous tendencies of the spread of this theory, which in the future may lead to global world conflicts with catastrophic consequences.Following the further development of the ideology of pan-Slavism during the second half of the 20th century, the researcher reveals the process of transformation of Moscow messianism into the leading role of the now Soviet (Soviet) people in world history, which received its theoretical embodiment in the concept of pan-Sovietism. It was she who contributed to the final consolidation of the lawless position of the Slavic peoples within the framework of a single state entity on the territory of Eastern Europe, and the emergence of a new socio-cultural generation with an ideologically shaped rejection of values contrary to communist ideals and a negative attitude towards the entire surrounding world.The research methodology is based on the philosophical-anthropological and psychological analysis of the key ideas of the concept of pan-Slavism and pan-Sovietism in the historical-philosophical studies of I. Mirchuk. In particular, we used formal-logical, critical and hermeneutic methods of research to reveal the process of transformation of the pan-Slavism mythology in modern Russia and its influence on the socio-political life of other Slavic peoples. Among the general scientific methods, the methods of deduction and comparison came in handy, which helped to analyze the views of individual representatives of various pan-Slavic currents on the problem of uniting the Slavic peoples into a single ethnic substratum in different historical time periods. And the principles of objectivity and systematicity helped us dispel the myth of Russian messianism among other Slavic peoples.Conclusion. Thus, the main mythologeme of the ideology of Pan-Slavism in the studies of the Slavic scholar I. Mirchuk was reduced to the messianic role of Russia and its people, as the leader among the entire Slavic world, in relation to all other, primarily European nations. Neglecting the historical and spiritual contribution to the development of the world culture of other nations and peoples, the Moscow Empire to this day continues to call itself the only center of true Christian traditions, which strives to lead the planet to a better future. Declaring itself the successor of the Roman Empire as the “Third Rome”, Muscovy, and later the Soviet Union, completely usurped the right of other Slavic peoples of the continent to independently choose their own path of state formation and social development.The transformational processes experienced by pan-Slavism at the beginning of the 20th century brought only the change of the name of the ideology to pan-Sovietism, fully preserving the essence of the imperial unity principle in all spheres of social and political life of the communist era. According to the leading communist ideologues, all the best that the world had could be found only in the Soviet Union, or rather in its capital. Other Slavic peoples got the desired equality only in the negative attitude of the center towards any manifestations of their own spiritual identity and economic initiatives, which were instantly punished by brutal repression and physical destruction under the slogans of finding non-existent enemies of the people and invented counter-revolutionary activities. The theoretically attractive idea of the special purpose of the Slavic peoples in the international arena has in practice turned into an imperial totalitarian dictatorship of one country, which wanted only one thing – world domination.

Who Counts? Care, Disability, and the Questionnaire in Jesse Ball'sCensus.

In the Biopolitics of Disability, David Mitchell and Sharon Snyder (2015) assert that disabled people are subjected to endless health and government questionnaires that harvest their data in exchange for better care. As disability advocates such as the National Disability Rights Network (2021) have demonstrated, these questionnaires-like the 2020 census-are highly flawed because disabled populations are not asked to shape the questions that will determine government funding and access to medical care. Although data collection is a source of contemporary literary and scholarly interest, few works explore this in the context of disability. However, Jesse Ball's 2018 novel Census examines questionnaires, specifically the census, and illuminates how narratives of disability are warped by the faulty data these objects collect. I argue that the protagonist, a dying father whose son has Down syndrome and requires full-time care, uses what Jack Halberstam calls "queer failure" to create a more equitable census that will make possible the kinds of care disabled populations deserve. Rather than create a perfect, objective questionnaire, the father skews the questions and data to center disability in the story of America, as he moves away from recording everyone's experiences and instead highlights the lives of disabled people, their caretakers, and their systems of care (doctors, neighbors, etc.). I suggest that this "failed" census reveals those networks and systems of interdependency that scholars like Judith Butler (2020) and advocates such as Leah Lakshmi Piepzna-Samarasinha (2018) posit would radically change how care is approached, thus rendering the census as an object of care.

Attribute binding enhancement improvement for diffusion model based zero-shot image segmentation

As diffusion model's potential ability to accomplish perception tasks being discovered, many researchers have tried to apply diffusion model in segmentation tasks and achieved good results. However, there are not many methods to optimize the diffusion model for segmentation tasks by improving the text side. Even if some research have pointed out that diffusion model sometimes 'misunderstand' prompt and bind attributes to wrong objects. With the development of artificial intelligence and the gradual entry of large models into people's daily lives, in addition to the performance of the model, the model's interactivity and ability to understand natural language are also more important. Based on existing zero-shot diffusion model based segmentation method, this work introduces a new method to enhance attribute binding in the embedding of prompt improve the performance of the model. Through this method, more descriptive text will get better segmentation results, which to some extent, improves the segmentation performance of the model for inputs that are more in line with natural language description habits.