The article undertakes an exploration into the rather unexpected progressiveness exhibited by courts across the globe in bestowing protection upon LGBTQ rights. A three-pronged study, which encompasses an examination of the theoretical rationales, empirical investigations, and doctrinal underpinnings of the augmentation of LGBTQ rights in diverse locales, is executed. It is hypothesized that a prima facie paradox emerges, whereby LGBTQ rights have been safeguarded and advanced in an extraordinary fashion, while concurrently, a discernible general trend of deviation from liberal constitutionalism, rights safeguarding mechanisms, and the rule of law is observable in other arenas. This article scrutinizes this contention and discovers that it is substantiated by case law from various regions. Critical theory and Butler’s theory of performativity potentially offer the most cogent explanations for this paradox. They have led to the social embrace of LGBTQ rights, while simultaneously, the enactment or amplification of these rights even in illiberal states furnishes an effortless ‘triumph’ for illiberal political actors, which can be employed as a countermeasure against assaults on their liberal and democratic reputations.

The discourse on advocacy planning involving actors has not explicitly addressed the question of who the actor advocate planner is and how an actor can become an advocate planner. This paper attempts to exploring the actor advocate planner in the context of Regional Splits as, employing social network analysis as a research tool. This research employs an exploratory, mixed-methods approach, predominantly qualitative in nature. The initial phase entailed the investigation and examination of qualitative data through the acquisition of information from interviews with key stakeholders involved in Regional Splits, including communities, non-governmental organizations (NGOs), governmental entities, and political parties. The subsequent phase utilized quantitative techniques derived from the findings of the qualitative analysis, which were then analysis into the Gephi application. The findings indicate that the Regional Splits the Presidium Community represents civil society and political parties serve as crucial advocate planners, facilitating connections between disparate actors and promoting Regional Splits through political parties.

In agriculture, crop yield and quality are critical for global food supply and human survival. Challenges such as plant leaf diseases necessitate a fast, automatic, economical, and accurate method. This paper utilizes deep learning, transfer learning, and specific feature learning modules (CBAM, Inception-ResNet) for their outstanding performance in image processing and classification. The ResNet model, pretrained on ImageNet, serves as the cornerstone, with introduced feature learning modules in our IRCResNet model. Experimental results show our model achieves an average prediction accuracy of 96.8574% on public datasets, thoroughly validating our approach and significantly enhancing plant leaf disease identification.