This narrative review focused on research investigating the impact of loneliness on the prevalence of dementia and its relationship with other risk factors. A comprehensive and rigorous search was conducted using a variety of scientific databases with specific keywords to identify all prior studies that examined the correlation between dementia and loneliness. The inquiry was confined to articles published in English from January 2017 to March 2024. The narrative review identified a consensus regarding the role of loneliness in enhancing the risk of all‐cause dementia, with a particular emphasis on the subjective perception of loneliness. This phenomenon may be caused by the sensations of exclusion, discrimination, and alienation that are typically associated with low self‐esteem and low life satisfaction, which may contribute to cognitive impairment and depressive symptoms. This finding was obtained despite the absence of robust evidence regarding the involvement of loneliness in the pathogenesis of dementia. Existing research has not yet identified a correlation between hereditary factors that influence the development of dementia and feelings of loneliness. However, loneliness is strongly associated with depression, which is a potential risk factor for dementia. Previous studies have reported a moderate correlation between depression and loneliness, as individuals who are isolated and lack a sense of community exhibit higher levels of depression. Meditation, social cognitive training, and social support are three strategies that have been implemented to address loneliness and are reported to be the most effective interventions. A strong correlation exists between dementia and loneliness. Although such strategies are unlikely to impede the progression of the disease if cognitive deterioration is already underway, understanding these associations can assist in the development of strategies to alleviate the effects of loneliness on vulnerable individuals.
Many water supplies are now contaminated by anthropogenic sources such as domestic and agricultural waste, as well as manufacturing activities, the public's concern about the environmental effects of wastewater contamination has grown. Several traditional wastewater treatment methods, such as chemical coagulation, adsorption, and activated sludge, have been used to eliminate pollution; however, there are several drawbacks, most notably high operating costs, because of its low operating and repair costs, the usage of aerobic waste water treatment as a reductive medium is gaining popularity. Furthermore, it is simple to produce and has a high efficacy and potential to degrade pollu
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The goal of the research is to theoretically establish the variable of brilliant leadership and explain the importance of this variable and the philosophical orientation of researchers in taking it as an original variable in their research as an independent variable. The descriptive approach and theoretical framing of brilliant leadership were followed. We relied on secondary data represented by books, dissertations, dissertations, scientific research, and the information network (the Internet) as a tool for collecting data. The scientific value was represented by the importance of consolidating brilliant leadership and reviewing the most important things that were confirmed by the research and studies that dealt with this research.
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Deep learning techniques are applied in many different industries for a variety of purposes. Deep learning-based item detection from aerial or terrestrial photographs has become a significant research area in recent years. The goal of object detection in computer vision is to anticipate the presence of one or more objects, along with their classes and bounding boxes. The YOLO (You Only Look Once) modern object detector can detect things in real-time with accuracy and speed. A neural network from the YOLO family of computer vision models makes one-time predictions about the locations of bounding rectangles and classification probabilities for an image. In layman's terms, it is a technique for instantly identifying and recognizing
... Show MoreThe purpose of this article is to provide a comprehensive definition of corporate governance and to review the existing literature on the subject. The researchers examine various corporate governance theories, including agency theory, stakeholder theory, and resource-based theory. The study concludes by emphasizing that the primary goal of corporate governance theories is not to examine how managers govern but rather to analyze how governance operates in an company.
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Deep learning techniques are used across a wide range of fields for several applications. In recent years, deep learning-based object detection from aerial or terrestrial photos has gained popularity as a study topic. The goal of object detection in computer vision is to anticipate the presence of one or more objects, along with their classes and bounding boxes. The YOLO (You Only Look Once) modern object detector can detect things in real-time with accuracy and speed. A neural network from the YOLO family of computer vision models makes one-time predictions about the locations of bounding rectangles andclassification probabilities for an image. In layman's terms, it is a technique for instantly identifying and rec
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Background: Oral health is an essential component of nursing care, and the maintenance of oral health, through both pharmacological and non-pharmacological management, is widely employed in clinical practice to support effective oral care. In children, oral health plays a crucial role in overall wellbeing, and nurses are often among the first healthcare professionals to identify, address, and prevent oral health problems. Objectives: This narrative review synthesizes and analyzes the historical evolution and available evidence regarding the nursing role in managing oral health in children, with a specific focus on nurse-led practices. It explores how nurses contribute to prevention, early detection, education, and the implementation
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