The various corn diseases that affect agriculture go unnoticed by farmers. Each day, more crops fail due to diseases as there is no effective treatment or a way to identify the illness. Common rust, blight, and the northern leaf grey spot are the most prevalent corn diseases. The presence of a disease cannot be accurately detected by simply looking at the plant. This will lead to improper pesticide use, which harms people by bringing on chronic diseases. Therefore, maintaining food security depends on accurate and automatic disease detection. It might be possible to save time and stop crop degradation before it takes place by utilising digital technologies. Hence, applying modern digital technologies to identify the disease in the damaged corn fields automatically will be more advantageous to the farmers. Many academics have recently become interested in deep learning, which has aided in creating an exact and autonomous picture classification scheme. The use of deep learning techniques and their adjustments for detecting corn illnesses can greatly assist contemporary agriculture. To find plant leaf diseases, we employ image acquisition, preprocessing, and classification processes. Preprocessing includes procedures such as reading images, resizing images, and data augmentation. The suggested project is based on EfficientNet and improves the precision of the database of corn leaf diseases by tweaking the variables. Tests are run using DenseNet and Resnet on the test dataset to confirm the precision and robustness of this approach. The recognition accuracy of 98.85% that can be achieved using this method, according to experimental results, is significantly higher than those of other cutting-edge techniques.

Pakistan has been blessed with rich tourism potential because of its rich history, culture, biological and geographical diversity. Travelers have for quite some time been attracted to Pakistan to encounter a nation that flaunts rugged natural beauty, cultural richness, and unparalleled hospitality. Pakistan has various tourist destinations in the northern areas of Pakistan. Kumrat Valley has become a tourist hotspot in recent times after the prime minister of Pakistan, Mr. Imran Khan, visited the valley. To reduce the negative effects on these tourist destinations due to the accelerating increase in tourists, the present study used a quantitative approach to uncover whether there is an environmental awareness–behavior gap among the tourists, with their level of environmental awareness outweighing pro-environmental behavior. Using a sample of 426 tourists who have visited the valley, the analysis of the results indicates that the pro-environmental behavior is positively and significantly affected by the components, environmental awareness, environmental concern, and environmental attachment. Environmental attachment is added as a moderator between environmental awareness and pro-environmental behavior. This study suggests that environmental awareness must be promoted among tourists to ensure that they exhibit pro-environmental behavior.

The hospitality industry is often regarded as a labor-intensive sector which is particularly susceptible to job burnout among employees, emphasizing its significant reliance on human resources for various service-oriented functions. This study explores the intricate dynamics between organizational support, job burnout, and psychological capital in the context of the hospitality sector. It aims to investigate how the level of support provided by organizations influences the occurrence of job burnout among employees in the hospitality industry, with a specific focus on the mediating role played by psychological capital. This research employs a theoretical framework to examine the relationships between these key variables and adopts structural equation modeling (SEM) to analyze the data. The study encompassed data from a total sample of 385 employees, with a gender distribution indicating that the majority (64.1%, N = 247) were male, while 35.9% (N = 138) were female. The main results showed that psychological capital was significantly enhanced by organizational support (β = 0.714, t-value = 45.211). On the other hand, it was found that psychological capital (β = −0.092, t-value = 2.176) and organizational support (β = −0.477, t-value = 11.674) had a substantial negative impact on job burnout. The finding of this study showed that psychological capital mediates the relationship between job burnout and organizational support to some extent (β = −0.066, t-value = 2.134). The findings are anticipated to shed light on effective strategies for organizations to mitigate job burnout by fostering positive psychological capital through supportive organizational practices, ultimately enhancing the well-being and performance of employees in the demanding and dynamic field of hospitality. By unraveling the interplay of organizational support, psychological capital, and job burnout, this study contributes valuable insights to academia, sustainable occupational health, and practitioners in the hospitality sector.

This research paper explores the intricate interplay between mental health (MH), quality of life (QOL), religiosity, and social connectedness among students with disabilities. In the context of a growing awareness of the multifaceted nature of well-being, this study aims to unravel the moderating effects of religiosity and social connectedness on the relationship between mental health and the overall quality of life experienced by students with disabilities. Utilizing Partial Least Squares Structural Equation Modeling (PLS-SEM), this research investigates direct and moderating effects within the proposed conceptual framework. The results indicate that all mental health disorder dimensions (stress, depression, and anxiety) negatively and significantly affect the quality of life of students with disabilities; moreover, the negative impact of stress on QOL is dampened by the moderation effect of social connectedness. Similarly, the negative impact of anxiety on QOL is dampened by the moderation effect of religiosity. However, the findings indicate that social connectedness fails to dampen the negative impact of depression (and anxiety (β = −0.12)) on QOL. Similarly, the findings reveal that religiosity is unable to dampen the negative effect of depression and stress on QOL. These findings’ implications extend to the theoretical and practical domains, informing interventions and support systems aimed at enhancing the overall quality of life of people with disabilities.

This study aims to fill in a gap by examining how physical activities (PAs), feeling good about oneself physically, and academic performance (ACD_PRF) all work together to influence the overall quality of life (QoL) for vulnerable students. We examined data from 400 vulnerable students studying in various universities and major specializations. We employed the Partial Least Squares–Structural Equation Modeling (PLS-SEM) data-analysis technique to test the validity and reliability of the outer model and to test the hypotheses used in the inner model. The research findings indicate that physical activities and physical self-esteem (PHS) can directly and indirectly improve vulnerable students’ QoL. However, among vulnerable students, ACD_PRF can only strengthen their QoL indirectly through improving their PHS. These findings help us to understand how physical activities, feeling good about one’s body, and ACD_PRF all contribute to these students having a better overall QoL. This knowledge can help us to develop better ways to support vulnerable students and to improve their well-being in all aspects of their lives, bodies, and ACD_PRF, which contributes to these students having a better overall QoL. This knowledge can help us to develop better ways to support students with disabilities (SwDs) and to improve their well-being in all aspects of their lives.

This research paper examines the influence of university disability service support, family support, and friends’ support on the quality of life (QoL) experienced by disabled students in higher education, with a particular emphasis on the mediating role of physical self-esteem. By investigating the intricate relationships between these factors, the study aims to provide a comprehensive understanding of the various dynamics that contribute to the well-being of disabled students within academic settings. Employing smart partial least squares structural equation modeling as an advanced statistical technique, including mediation analyses, and collecting data from 368 disabled students, the findings reveal the multifaceted nature of the impact of support networks on QoL. The study underscores the crucial role of physical self-esteem in mediating the effects of university disability service support, family support, and friends support on the well-being of disabled students. These insights shed light on the intricate interplay between these factors, providing a deeper understanding of the mechanisms that underlie their influence. The implications of this research extend to universities, families, friends, and support networks catering to disabled higher education students. Recognizing the significance of physical self-esteem as a mediator emphasizes the importance of fostering positive body image and self-perception among these students. Additionally, this study contributes to the broader discourse on the well-being of disabled individuals within academia, offering insights that can inform strategies and interventions aimed at enhancing their educational experiences and overall QoL.