Hierarchy and endogenous contestation in the liberal international order

A previous generation of influential scholarship treated international institutions as instruments of cooperation built by self-interested states to achieve mutually beneficial outcomes. Recent scholarship, including this special forum, suggests that the rational design of institutions does not guarantee their durability and that liberal institutions are intrinsically prone to contestation. This essay takes a step back and posits that the hierarchical nature of international order itself creates conditions for contestation, but not for the reasons typically identified in the literature. Institutionalized disagreement over distributional outcomes, values, and hypocrisy is ultimately about the politics of status between differently ranked states. While these differences are due to the hierarchical nature of order, it is the same hierarchy that can contribute to their resolution when leading states engage in institutional reforms-for example, by making institutional membership and leadership more inclusive. The essay closes with some reflections on a prominent source of hierarchy in the liberal international order (LIO): the legacy of Eurocentrism and colonialism in world politics. While countries in the Global South have typically engaged in order-consistent contestation, it is the LIO's leading states that have engaged in order-challenging contestation. The present sense of crisis in the LIO might therefore have more to do with Western anxieties about security competition with China, Russian aggression, and domestic crises of liberalism than the “rise of the rest.

Perception of dental practitioners in and around Kanpur city towards forensic odontology: a cross sectional study

Background: In the present era, forensic odontology has expanded as one of the most remarkable and commendable branches of Forensic Sciences. Through forensic odontology, a dentist plays a very important role in crime investigation of any type. The main objective of the present study was to evaluate the knowledge, percipience and practical perception of forensic odontology among the dental practitioners in and around Kanpur city.Methods: A cross-sectional study was conducted from Jan-Mar 2019 among 207 dental practitioners in and around Kanpur city including 143 BDS and 64 MDS through a questionnaire proforma. The proforma consisted of 20 questions prepared on the topic of forensic Odontology and role of dentist in the field of forensic Odontology.Results: In this study, nearly 70% of dental practitioners were aware of the role of dentist in forensics, and around 60% of dental practitioners maintain dental records with recording of personal data and clinical findings being the most frequently used method. In the present study most of the dental practitioners were not aware of significance of chelioscopy (63%) and rugoscopy (66%) in field of forensic Odontology. Nearly 70% of dentist accepted the fact that their level of knowledge regarding forensic dentistry is inadequate and nearly 40% of them were not confident in giving any opinion regarding the same.Conclusions: This study shows that although there is an adequate awareness of role of dentist in forensic Odontology, but there is lack of good knowledge, confidence and practical approach of the dental practitioners towards forensic Odontology which may be due to lack of training, experience, exposure in field of forensics. Thus, the need of the hour lies in updating the knowledge and also developing interest of the dental practitioners regarding forensic Odontology

Estimating Emotion Contagion on Social Media via Localized Diffusion in Dynamic Graphs

We present a computational approach for estimating emotion contagion on social media networks. Built on a foundation of psychology literature, our approach estimates the degree to which the perceivers' emotional states (positive or negative) start to match those of the expressors, based on the latter's content. We use a combination of deep learning and social network analysis to model emotion contagion as a diffusion process in dynamic social network graphs, taking into consideration key aspects like causality, homophily, and interference. We evaluate our approach on user behavior data obtained from a popular social media platform for sharing short videos. We analyze the behavior of 48 users over a span of 8 weeks (over 200k audio-visual short posts analyzed) and estimate how contagious the users with whom they engage with are on social media. As per the theory of diffusion, we account for the videos a user watches during this time (inflow) and the daily engagements; liking, sharing, downloading or creating new videos (outflow) to estimate contagion. To validate our approach and analysis, we obtain human feedback on these 48 social media platform users with an online study by collecting responses of about 150 participants. We report users who interact with more number of creators on the platform are 12% less prone to contagion, and those who consume more content of `negative' sentiment are 23% more prone to contagion. We will publicly release our code upon acceptance

Barriers and facilitators to informal healthcare provider engagement in the national tuberculosis elimination program of India: An exploratory study from West Bengal

India has a high burden of Tuberculosis (TB), accounting for a significant portion of global cases. While efforts are being made to engage the formal private sector in the National TB Elimination Program (NTEP) of India, there remains a significant gap in addressing the engagement of Informal Healthcare Providers (IPs), who serve as the first point of contact for healthcare in many communities. Recognizing the increasing evidence of IPs' importance in TB care, it is crucial to enhance their engagement in the NTEP. Therefore, this study explored various factors influencing the engagement of IPs in the program. A qualitative study was conducted in West Bengal, India, involving 23 IPs and 11 Formal Providers (FPs) from different levels of the formal health system. Thematic analysis of the data was conducted following a six-step approach outlined by Braun and Clarke. Three overarching themes were identified in the analysis, encompassing barriers and facilitators to IPs' engagement in the NTEP. The first theme focused on IPs' position and capacity as care providers, highlighting their role as primary care providers and the trust and acceptance extended by the community. The second theme explored policy and system-level drivers and prohibitors, revealing barriers such as role ambiguity, competing tasks, and quality of care issues. Facilitators such as growing recognition of IPs' importance in the health system, an inclusive incentive system, and willingness to collaborate were also identified. The third theme focused on the relationship between the formal and informal systems, highlighting a need to strengthen the relationship between the two. This study sheds light on factors influencing the engagement of IPs in the NTEP of India. It emphasizes the need for role clarity, knowledge enhancement, and improved relationships between formal and informal systems. By addressing these factors, policymakers and stakeholders can strengthen the engagement of IPs in the NTEP

Are informal healthcare providers knowledgeable in tuberculosis care? A cross-sectional survey using vignettes in West Bengal, India.

Background: India accounts for one-quarter of the world's TB cases. Despite efforts to engage the private sector in India's National TB Elimination Program, informal healthcare providers (IPs), who serve as the first contact for a significant TB patients, remain grossly underutilised. However, considering the substantial evidence establishing IPs' role in patients' care pathway, it is essential to expand the evidence base regarding their knowledge in TB care. Methods: We conducted a cross-sectional study in the Birbhum district of West Bengal, India. The data were collected using the TB vignette among 331 IPs (165 trained and 166 untrained). The correct case management was defined following India's Technical and Operational Guidelines for TB Control. Results: Overall, IPs demonstrated a suboptimal level of knowledge in TB care. IPs exhibited the lowest knowledge in asking essential history questions (all four: 5.4% and at least two: 21.7%) compared with ordering sputum test (76.1%), making a correct diagnosis (83.3%) and appropriate referrals (100%). Nonetheless, a statistically significant difference in knowledge (in most domains of TB care) was observed between trained and untrained IPs. Conclusions: This study identifies gaps in IPs' knowledge in TB care. However, the observed significant difference between the trained and untrained groups indicates a positive impact of training in improving IPs' knowledge in TB care

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision

We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS). However, existing scene-level datasets for deep learning-based 3D vision, limited to either synthetic environments or a narrow selection of real-world scenes, are quite insufficient. This insufficiency not only hinders a comprehensive benchmark of existing methods but also caps what could be explored in deep learning-based 3D analysis. To address this critical gap, we present DL3DV-10K, a large-scale scene dataset, featuring 51.2 million frames from 10,510 videos captured from 65 types of point-of-interest (POI) locations, covering both bounded and unbounded scenes, with different levels of reflection, transparency, and lighting. We conducted a comprehensive benchmark of recent NVS methods on DL3DV-10K, which revealed valuable insights for future research in NVS. In addition, we have obtained encouraging results in a pilot study to learn generalizable NeRF from DL3DV-10K, which manifests the necessity of a large-scale scene-level dataset to forge a path toward a foundation model for learning 3D representation. Our DL3DV-10K dataset, benchmark results, and models will be publicly accessible at https://dl3dv-10k.github.io/DL3DV-10K/

Framework For a Collective Definition of Regenerative Agriculture in India

The concept of regenerative agriculture has received increasing attention worldwide as a method to restore and conserve natural resources while maintaining crop productivity. However, there remains a lack of consensus as to what conditions define regenerative agriculture, making it difficult for decision-makers, researchers, the agricultural sector, and the public to adopt regenerative agriculture practices. Here, we present the initial process to create a unified, cross-sectoral definition for regenerative agriculture in India that considers the viewpoints of multiple stakeholders and addresses the current challenges faced by the Indian agricultural sector. To this end, we compiled interactions with individuals from across India to identify the most pressing concerns for India's human and environmental ecosystems. We conducted over 30 hours of workshops to discuss these concerns with 50 experts from five sectors and four countries

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy