Advertising is omnipresent and cannot be ignored. The advertisers intertwine the cultural practices prevalent in the country to make a lasting impact on the viewers. The culture of the nation has a...

In the domain of legal information retrieval, an important challenge is to compute similarity between two legal documents. Precedents play an important role in The Common Law system, where lawyers need to frequently refer to relevant prior cases. Measuring document similarity is one of the most crucial aspects of any document retrieval system which decides the speed, scalability and accuracy of the system. Text-based and network-based methods for computing similarity among case reports have already been proposed in prior works but (...) not without a few pitfalls. Since legal citation networks are generally highly disconnected, network based metrics are not suited for them. Till date, only a few text-based and predominant embedding based methods have been employed, for instance, TF-IDF based approaches, Word2Vec and Doc2Vec based approaches. We investigate the performance of 56 different methodologies for computing textual similarity across court case statements when applied on a dataset of Indian Supreme Court Cases. Among the 56 different methods, thirty are adaptations of existing methods and twenty-six are our proposed methods. The methods studied include models such as BERT and Law2Vec. It is observed that the more traditional methods that rely on a bag-of-words representation performs better than the more advanced context-aware methods for computing document-level similarity. Finally we nominate, via empirical validation, five of our best performing methods as appropriate for measuring similarity between case reports. Among these five, two are adaptations of existing methods and the other three are our proposed methods. (shrink)

In a Common Law system, legal practitioners need frequent access to prior case documents that discuss relevant legal issues. Case documents are generally very lengthy, containing complex sentence structures, and reading them fully is a strenuous task even for legal practitioners. Having a concise overview of these documents can relieve legal practitioners from the task of reading the complete case statements. Legal catchphrases are (multi-word) phrases that provide a concise overview of the contents of a case document, and automated generation (...) of catchphrases is a challenging problem in legal analytics. In this paper, we propose a novel supervised neural sequence tagging model for the extraction of catchphrases from legal case documents. Specifically, we show that incorporating document-specific information along with a sequence tagging model can enhance the performance of catchphrase extraction. We perform experiments over a set of Indian Supreme Court case documents, for which the gold-standard catchphrases (annotated by legal practitioners) are obtained from a popular legal information system. The performance of our proposed method is compared with that of several existing supervised and unsupervised methods, and our proposed method is empirically shown to be superior to all baselines. (shrink)

Pothos & Busemeyer (P&B) argue how key concepts of quantum probability, for example, order/context, interference, superposition, and entanglement, can be used in cognitive modeling. Here, we suggest that these concepts can be extended to analyze neurophysiological measurements of cognitive tasks in humans, especially in functional neuroimaging investigations of large-scale brain networks.

The Transforming growth factor beta (TGF‐β) family of secreted proteins regulates a variety of key events in normal development and physiology. In mammals, this family, represented by 33 ligands, including TGF‐β, activins, nodal, bone morphogenetic proteins (BMPs), and growth and differentiation factors (GDFs), regulate biological processes as diverse as cell proliferation, differentiation, apoptosis, metabolism, homeostasis, immune response, wound repair, and endocrine functions. In Drosophila, only 7 members of this family are present, with 4 TGF‐β/BMP and 3 TGF‐β/activin ligands. Studies in (...) the fly have illustrated the role of TGF‐β/BMP ligands during embryogenesis and organ patterning, while the TGF‐β/activin ligands have been implicated in the control of wing growth and neuronal functions. In this review, we focus on the emerging roles of Drosophila TGF‐β/activins in inter‐organ communication via long‐distance regulation, especially in systemic lipid and carbohydrate homeostasis, and discuss findings relevant to metabolic diseases in humans. -/- . (shrink)

In this paper, we consider the influence of Gibson's affordance theory on the design of robotic agents. Affordance theory (and the ecological approach to agent design in general) has in many cases contributed to the development of successful robotic systems; we provide a brief survey of AI research in this area. However, there remain significant issues that complicate discussions on this topic, particularly in the exchange of ideas between researchers in artificial intelligence and ecological psychology. We identify some of these (...) issues, specifically the lack of a generally accepted definition of "affordance" and fundamental differences in the current approaches taken in AI and ecological psychology. While we consider reconciliation between these fields to be possible and mutually beneficial, it will require some flexibility on the issue of direct perception. (shrink)

This study aims to explore how CSR-related messages posted by CEOs on social media are beneficial in fostering social capital, which in turn impacts the FP and online reputation of the firm. The study also examines whether there is any difference in FP due to sharing of CSR-related messages by CEOs before and during the pandemic. Hierarchical regression is used to examine the influence of CEOs CSR related tweets on FP and online reputation. The study reveals that by posting CSR-related (...) messages on Twitter, CEOs can build social capital available on social media, which leads to better FP and online reputation. Findings also indicate that there is no statistically significant difference in FP and online reputation of the firm due to sharing of CSR-related messages by CEOs before and during the pandemic. Our research makes a significant addition to the empirical studies of CSR, social media and social capital theory. (shrink)

The paper is a short introduction to the article 'Affordances for robots' by Thomas E. Horton, Arpan Chakraborty and Robert St. Amant, in the context of applications of ecological psychology.