Manual scavenging refers to the practice of manually cleaning, carrying, disposing or handling human excreta from dry latrines and sewers. It is one of the most dehumanizing and deplorable practices that violate basic human rights and dignity. This practice is linked to India’s caste system where so-called lower castes are expected to perform this job. Despite being outlawed in 1993, manual scavenging continues to exist in India due to socio-economic discrimination and lack of rehabilitation of manual scavengers. This paper attempts to provide an in-depth understanding. The harsh realities by qualitative systemic review of manual scavenging in India and how it negatively impacts human rights. It reviews relevant literature on the prevalence, causes, adverse effects, and laws against manual scavenging. The results indicate that manual scavenging is still practiced across many states in India. Manual scavengers face grave health hazards and socio-economic hardships. The laws against manual scavenging have failed to abolish this practice due to administrative apathy, lack of rehabilitation support for liberated scavengers, and continued prevalence of dry latrines necessitating manual disposal of excreta. The paper emphasizes the need for more concerted efforts by the government and civil society to end manual scavenging to uphold human rights, dignity, and justice for all. There is an urgent need for extensive awareness campaigns, social support, and proper rehabilitation of liberated scavengers into alternative professions.

Disinformation can be defined as false information deliberately initiated to cause harm to a person, social group, organization, or country. Gendered disinformation then attacks or undermines people based on gender or weaponizes gendered narratives for political, social, or economic objectives. Gendered disinformation comes in different forms, such as harmful social media posts and graphics, sexual fabrications, and other forms of conspiracy theories. It is used in various situations and at different places. This research discussed the instances of gendered disinformation and harmful online narratives that are recognizable and visible. It sheds light on the potential direct and indirect impact on youth experiences. In this study, the young participants (aged 18–30) focused on the instances of the existing online narratives of gendered discrimination from Belgium, Greece, Latvia, Spain, and Türkiye. The research provided an initial analysis of what “gendered information and harmful online narratives” look like and some recommendations from youth perspectives on countering the issues. The study concluded that there is a need for more research, further harmonization of legal frameworks, and strengthened capacity to detect gendered disinformation, propaganda, and hate speech.

Brain tumors are a primary factor causing cancer-related deaths globally, and their classification remains a significant research challenge due to the variability in tumor intensity, size, and shape, as well as the similar appearances of different tumor types. Accurate differentiation is further complicated by these factors, making diagnosis difficult even with advanced imaging techniques such as magnetic resonance imaging (MRI). Recent techniques in artificial intelligence (AI), in particular deep learning (DL), have improved the speed and accuracy of medical image analysis, but they still face challenges like overfitting and the need for large annotated datasets. This study addresses these challenges by presenting two approaches for brain tumor classification using MRI images. The first approach involves fine-tuning transfer learning cutting-edge models, including SEResNet, ConvNeXtBase, and ResNet101V2, with global average pooling 2D and dropout layers to minimize overfitting and reduce the need for extensive preprocessing. The second approach leverages the Vision Transformer (ViT), optimized with the AdamW optimizer and extensive data augmentation. Experiments on the BT-Large-4C dataset demonstrate that SEResNet achieves the highest accuracy of 97.96%, surpassing ViT’s 95.4%. These results suggest that fine-tuning and transfer learning models are more effective at addressing the challenges of overfitting and dataset limitations, ultimately outperforming the Vision Transformer and existing state-of-the-art techniques in brain tumor classification.

The purpose of this research is to present a bibliometric analysis of the literature on the ways in which the motivations of individual sports consumers impact the creation of sports infrastructure and the creation of sports-related policy. Design/methodology/approach: Based on the PRISMA approach and information gleaned from the Scopus database, 2605 publications were found to be pertinent to the subject. We conducted a literature analysis of trends and patterns using VOSviewer-based knowledge mapping. Findings: Recent years have seen a proliferation of scholarly publications on the topic of individual sports consumption motivation and its influence on policy formulation and infrastructure development. This suggests that interest in this field is expanding. The list of eminent journals, decision-makers, and organizations involved in this issue demonstrates its global influence. The interdisciplinary nature of the subject is reflected in the study’s emphasis on the most widely published authors and key research terminology. Originality/value: This study closes significant knowledge gaps regarding the complex interactions between societal, environmental, and individual factors that affect the motivation to consume sports and how these motivations influence decisions about sports infrastructure and policies. It does this by using bibliometric techniques and the most recent data. The project aims to create a more thorough picture of how public health policy, sports governance, and urban planning are impacted by the motivations behind sports consumption. Policy implications: Policymakers, planners, and sports organizations can use the results to generate more targeted and effective strategies for the development of sports infrastructure and policy formulation. The study highlights how important it is to make well-informed policy decisions and participate in customized involvement in order to improve public welfare and the overall sports consumer experience.