Supercommentary on Tattvaprakāśikā of Jayatīrtha, 14th cent., work on Dvaita (Vedanta) philosophy; includes supercommentaries.

Gestures can serve as external representations of abstract concepts which may be otherwise difficult to illustrate. Gestures often accompany verbal statement as an embodiment of mental models that augment the communication of ideas, concepts or envisioned shapes of products. A gesture is also an indicator of the subject and context of the issue under discussion. We argue that if gestures can be identified and formalized they can be used as a knowledge indexing and retrieval tool and can prove to be (...) useful access point into unstructured digital video data. We present a methodology and a prototype, called I-Gesture that allows users to (1) define a vocabulary of gestures for a specific domain, (2) build a digital library of the gesture vocabulary, and (3) mark up entire video streams based on the predefined vocabulary for future search and retrieval of digital content from the archive. I-Gesture methodology and prototype are illustrated through scenarios where it can be utilized. The paper concludes with results of evaluation experiments with I-Gesture using a test bed of design-construction projects. (shrink)

Prior research has used an Interactive Landslide Simulator tool to investigate human decision making against landslide risks. It has been found that repeated feedback in the ILS tool about damages due to landslides causes an improvement in human decisions against landslide risks. However, little is known on how theories of learning from feedback would account for human decisions in the ILS tool. The primary goal of this paper is to account for human decisions in the ILS tool via computational models (...) based upon reinforcement learning and to explore the model mechanisms involved when people make decisions in the ILS tool. Four different reinforcement-learning models were developed and evaluated in their ability to capture human decisions in an experiment involving two conditions in the ILS tool. The parameters of an Expectancy-Valence model, two Prospect-Valence-Learning models, a combination EV-PU model, and a random model were calibrated to human decisions in the ILS tool across the two conditions. Later, different models with their calibrated parameters were generalized to data collected in an experiment involving a new condition in ILS. When generalized to this new condition, the PVL-2 model’s parameters of both damage-feedback conditions outperformed all other RL models. We highlight the implications of our results for decision making against landslide risks. (shrink)

Study on the concept of delusion (Moha) and Mokṣa in Indic philosophy.

Collection of the verses giving the gist of adhikaranas selected from Tātparyacandrikā of Vyāsatīrtha, work on Vedanta philosophy.

In recent years, universities have been urged to restructure and re-evaluate their ability to trace and monitor their students as the “smart campus” is being built upon datafication, while networked apps and sensors serve as the means through which its constituents are connected and governed. This paper advances a dialectical and communication-centered approach to the Internet of Things campus ecosystem and provides an empirical investigation into the tensions experienced by students and the ways that these students envision alternative practices that (...) support their digital engagement. Drawing upon student focus group interviews in a large American research and innovation intensive university, dialectical tensions identified include convenience–annoyance, integration–independence, and safety–insecurity, brought upon by students’ ongoing and prospective negotiations with Internet of Things. Furthermore, in a bid to understand students’ alternative data imaginaries, this project examined students’ preferred Internet of Things-related communication practices with campus digital application platforms, analog and older forms of digital media, as well as in-person interactions with traditional authorities within classroom and group settings. Finally, this contribution presents a discussion of the findings for theory and praxis, particularly for smart campus innovation and social data governance, in terms of potential growing challenges involving complexifying student privacy concerns, data normalization and coercion, and tertiary digital divides and inequalities. (shrink)

Treatise with Nyāyadīpa sanskrit commentary by Rāghavendra Swami, 1601-1661 on epistemology from Dvaita view point.

Business Ethics, the Environment & Responsibility, Volume 31, Issue 2, Page 546-561, April 2022.

Comparative study of Buddhist, Vedanta, and Kashmir Śaiva philosophies.

Classical treatise, with Sanskrit commentary, of the Dvaita and Advaita school in Hindu philosophy.

Classical treatises, with commentaries, of the Dvaita and Advaita schools in Hindu philosophy.

Commentary, with text, on the Yogasūtra by Patañjali, basic aphoristic text of Yoga; with Hindi exposition based on the commentary ascribed to Śaṅkarācārya.

Supercommentary on Tattvaprakāśikā of Jayatīrtha, d. 1268, commentary of the 1st and 2nd chapters in Bādarāyaṇa's Brahmasūtra, presenting the Dvaita point of view in Hindu philosophy.

On the basic concepts of Indian philosophy, as found in the Vedas and Upanishads.

Summary An attempt is made in this book to expound the Buddhist theory of perception as conceived by Dinnaga and Dharmkirti, especially as presented in Pramanavarttika of the latter. The study is divided into nine chapters. The first chapter deals with the Dinaga-Dharmakirti logico-epistemological sub-system within the overall system of Buddhist philosophy. The second chapter brings out the unique contribution of Pramanavarttika as a commentary to Pramanasamuccaya of Dinnaga. The third and fourth chapters are focused on the pre-Dinnaga and non-Buddhist (...) theories of perception. The fifth chapter deals with Dharmkirti’s well- reasoned addition of the term ‘non-illusive” to the definition of perception as given by Dinnaga. The sixth chapter is devoted to the main theme freedom from conceptual construction or kalpnapodham as the definiens of the term pratyaksha. The seventh chapter is about the four kinds of perception. The eighth chapter deals with the nature of the object of perception, the criteria of valid perception along with a discussion on illusion. The ninth chapter sums up the relevance of Pramanavarttika’ s contribution to Buddhist philosophy. (shrink)

In the Indian context; contributed articles.

Study of realism with special reference to the philosophy of Upanishads and Vedanta.

Research papers on various aspects of Hindu philosophy and Vedic literature.

The collapse of the wavefunction is arguably the least understood process in quantum mechanics. A plethora of ideas—macro-micro divide, many worlds and even consciousness—have been put forth to resolve the issue. Contrary to the standard Copenhagen interpretation, objective collapse models modify the Schrödinger equation with nonlinear and stochastic terms in order to explain the collapse of the wavefunction. In this paper we propose a collapse model in which a particle’s wavefunction has a possibility of collapsing when it interacts with macroscopic (...) objects, without the intervention of a conscious observer. We propose four possible conditions of collapse of the wavefunction and make testable predictions which differ from standard quantum mechanics. (shrink)

Diffusion MRI is widely used to investigate neuronal and structural development of brain. dMRI data is often contaminated with various types of artifacts. Hence, artifact type identification in dMRI volumes is an essential pre-processing step prior to carrying out any further analysis. Manual artifact identification amongst a large pool of dMRI data is a highly labor-intensive task. Previous attempts at automating this process are often limited to a binary classification of the dMRI volumes or focus on detecting a single type (...) of artifact. In this work, we propose a deep learning-based automated multiclass artifact classifier for dMRI volumes. Our proposed framework operates in 2 steps. In the first step, the model predicts labels associated with 3D mutually exclusive collectively exhaustive sub-volumes or “slabs” extracted from whole dMRI volumes. In the second step, through a voting process, the model outputs the artifact class present in the whole volume under investigation. We used two different datasets for training and evaluating our model. Specifically, we utilized 2,494 poor-quality dMRI volumes from the Adolescent Brain Cognitive Development and 4,226 from the Healthy Brain Network dataset. Our results demonstrate accurate multiclass volume-level main artifact type prediction with 96.61 and 97.52% average accuracies on the ABCD and HBN test sets, respectively. Finally, in order to demonstrate the effectiveness of the proposed framework in dMRI pre-processing pipelines, we conducted a proof-of-concept dMRI analysis exploring the relationship between whole-brain fractional anisotropy and participant age, to test whether the use of our model improves the brain-age association. (shrink)

There are widespread concerns about the mental health implications of the pandemic, particularly among university students, an already at-risk population for poor mental health. This study looked at 1,281 UK university students, recruited through the Prolific website. Participants were asked to complete the Attitudes towards COVID-19 Scale, the CORE-10, the PERMA Profiler, the GAD-7 and the Office for National Statistics wellbeing questions (ONS4). The first survey was conducted between May 14th and 16th, when the UK was in national lockdown. The (...) second survey was carried out between June 26th and July 15th. There was only an 11% attrition rate between the two time points. Well-being improved overall between the two time points. Some findings were contradictory as overall well-being, anxiety and levels of flourishing improved, but reports of psychological distress increased. It is also important to note that levels of positivity about the pandemic increased as time went on. There was evidence that higher levels of positivity were linked to better mental health outcomes. Encouraging a positive mindset and outlook in students, probably through positive psychology-based interventions, might act as a protective factor against severe mental illness. The wider relevance and practical implications for higher education are discussed. (shrink)