Pseudomechanics of supersymmetric oscillators

In this note, we study some classical aspects of supersymmetric oscillators, in one and two spatial (bosonic) dimensions. Our main ingredient is a generalized Poisson bracket, which emerges as a classical counterpart to commutators and anticommutators from supersymmetric quantum mechanics. In one dimension, i.e. in presence of one bosonic and one fermionic coordinate, the Hamiltonian admits a $U(1,1)$ symmetry for which we explicitly compute the first integrals. It is found that the supercharges emerge from the formalism in a natural way as fermionic conserved quantities. Following this, we describe classical supercharge operators based on the generalized Poisson bracket, which define supersymmetry transformations. The results are generalized to two spatial dimensions, where there is a $U(2,2)$ symmetry in the Hamiltonian. We comment on supersymmetric generalizations of the Pais-Uhlenbeck and isotonic oscillators. The possibility of defining a generalized Nambu bracket in this framework is also discussed

Constraining extra dimensions using observations of black hole quasi-normal modes

The presence of extra dimensions generically modify the spacetime geometry of a rotating black hole, by adding an additional hair, besides the mass $M$ and the angular momentum $J$, known as the `tidal charge' parameter, $\beta$. In a braneworld scenario with one extra spatial dimension, the extra dimension is expected to manifest itself through -- (a) negative values of $\beta$, and (b) modified gravitational perturbations. This in turn would affect the quasi-normal modes of rotating black holes. We numerically solve the perturbed gravitational field equations using the continued fractions method and determine the quasi-normal mode spectra for the braneworld black hole. We find that increasingly negative values of $\beta$ correspond to a diminishing imaginary part of the quasi-normal mode, or equivalently, an increasing damping time. Using the publicly available data of the properties of the remnant black hole in the gravitational wave signal GW150914, we check for consistency between the predicted values (for a given $\beta$) of the frequency and damping time of the least-damped $\ell=2,m=2$ quasi-normal mode and measurements of these quantities using other independent techniques. We find that it is highly unlikely for the tidal charge, $\beta \lesssim -0.05$, providing a conservative limit on the tidal charge parameter. Implications and future directions are discussed.Comment: 11 pages, 2 figures, 1 table, Revised version accepted in EPJ

CLIPSyntel: CLIP and LLM Synergy for Multimodal Question Summarization in Healthcare

In the era of modern healthcare, swiftly generating medical question summaries is crucial for informed and timely patient care. Despite the increasing complexity and volume of medical data, existing studies have focused solely on text-based summarization, neglecting the integration of visual information. Recognizing the untapped potential of combining textual queries with visual representations of medical conditions, we introduce the Multimodal Medical Question Summarization (MMQS) Dataset. This dataset, a major contribution to our work, pairs medical queries with visual aids, facilitating a richer and more nuanced understanding of patient needs. We also propose a framework, utilizing the power of Contrastive Language Image Pretraining(CLIP) and Large Language Models(LLMs), consisting of four modules that identify medical disorders, generate relevant context, filter medical concepts, and craft visually aware summaries. Our comprehensive framework harnesses the power of CLIP, a multimodal foundation model, and various general-purpose LLMs, comprising four main modules: the medical disorder identification module, the relevant context generation module, the context filtration module for distilling relevant medical concepts and knowledge, and finally, a general-purpose LLM to generate visually aware medical question summaries. Leveraging our MMQS dataset, we showcase how visual cues from images enhance the generation of medically nuanced summaries. This multimodal approach not only enhances the decision-making process in healthcare but also fosters a more nuanced understanding of patient queries, laying the groundwork for future research in personalized and responsive medical careComment: AAAI 202

Mahadevi Varma Narrative Analysis in Hindi Literature

Aim: Mahadevi Varma made the conscious decision to lead a nun's existence in her private life, yet she showed bravery in revealing female sexuality in her poetry. By exposing the physical and psychological abuse perpetrated on women, she rejected her society. Material and method: Her delicate and outstanding use of language and imagery lovingly covered her risky issues. This essay focuses on how Varma overcame the challenges that women faced in her society by abstaining from sexual activity, engaging in resistance to colonialism, and providing for the underprivileged. Statistics and Result: She was an accomplished painter and translator. Despite having liberal beliefs, she was respected in her conservative community due to the self-made career she had achieved

MatSciRE: Leveraging Pointer Networks to Automate Entity and Relation Extraction for Material Science Knowledge-base Construction

Material science literature is a rich source of factual information about various categories of entities (like materials and compositions) and various relations between these entities, such as conductivity, voltage, etc. Automatically extracting this information to generate a material science knowledge base is a challenging task. In this paper, we propose MatSciRE (Material Science Relation Extractor), a Pointer Network-based encoder-decoder framework, to jointly extract entities and relations from material science articles as a triplet ($entity1, relation, entity2$). Specifically, we target the battery materials and identify five relations to work on - conductivity, coulombic efficiency, capacity, voltage, and energy. Our proposed approach achieved a much better F1-score (0.771) than a previous attempt using ChemDataExtractor (0.716). The overall graphical framework of MatSciRE is shown in Fig 1. The material information is extracted from material science literature in the form of entity-relation triplets using MatSciRE

Introduction to Community Service-Learning (SRCL 1000)

Introduction to Community Service-Learning is a general elective open to first to fourth year international and domestic students from a variety of disciplines across campus. Every fall and winter semester each student volunteers at one of 30 local not-for-profit organizations for a full semester. Students are required to complete 24 hours of service as part of their course work. In this poster session, 16 not-for-profit organizations will be represented by 27 SRCL 1000 students. They will demonstrate personal reflections on their service experiences, how their experiences connect to the course work and their organizations, and what they will take back to their own communities after the course is over. Students representing the following Kamloops not-for-profit organizations: Active Care Services: Nolan Fenrich St. John Ambulance: Damilola Abiyo and Ryuki Furuta Overlander Residential Care: Glory Amukamara Ponderosa Lodge: Rahab Kariuki The Kamloops Food Bank: Yu Cao, Surkamal Singh Jhand, Xiangzhong Kong and Ruotong Shi The ReStore – Habitat for Humanity: Dion Maborekhe, Fengyi Yang and Haonan Deng Kamloops Immigrant Services: Dipak Parmar Maple Leaf School: Qian Wang and Mengyao Zhu BC SPCA: Dawei Xu TRU Sustainability Office: Akash Ghosh, Takaya Hirose, Jihoon Kim and Kosuke Masunaga TRU Horticulture: Ols Buta TRU The X Radio: Marie Gabriela Jimenez and MD Majharul Islam Sabuj Beattie School of the Arts: Makoto Iida Gemstone Care Center: Tirth Panchal Chartwell Ridgepointe: Sakina Shikama Sikh Temple: Gurpreet Pua