CapText: Large Language Model-based Caption Generation From Image Context and Description

While deep-learning models have been shown to perform well on image-to-text datasets, it is difficult to use them in practice for captioning images. This is because \textit{captions} traditionally tend to be context-dependent and offer complementary information about an image, while models tend to produce \textit{descriptions} that describe the visual features of the image. Prior research in caption generation has explored the use of models that generate captions when provided with the images alongside their respective descriptions or contexts. We propose and evaluate a new approach, which leverages existing large language models to generate captions from textual descriptions and context alone, without ever processing the image directly. We demonstrate that after fine-tuning, our approach outperforms current state-of-the-art image-text alignment models like OSCAR-VinVL on this task on the CIDEr metric

Mannose-rich guar gum nanoparticles as a novel therapeutic drug against inflammatory diseases

The potential to deliver nanoparticles, like polymer-based nanoparticles that can be enriched with functional groups to ensure entry into cells, directly into targeted cells is important for the therapy of inflammatory diseases. Plant-derived nanoparticles, with inherent anti-inflammatory activity and modified to allow receptor-mediated uptake, can be used as effective therapy with minimal side effects. The particle used in this study is an edible polysaccharide, derived from Cyamopsis tetragonoloba, with a galactomannan component. The particle was made mannose-rich to increase specificity towards cells expressing mannose receptors, and initially tagged with rhodamine isothiocyanate to trace its path. This study aimed to determine the therapeutic effect of the guar gum nanoparticle (GN) in vitro and in vivo in inflammatory diseases. In vitro studies on RAW 264.7 cells showed successful uptake of the nanoparticle, in a short duration of time, via their mannose receptors. Nitric oxide and MTS assays showed anti-inflammatory effects of GN. In vivo mouse model of thioglycollate-induced peritonitis showed significant decrease in inflammation, indicating its anti-inflammatory effect, and increase in clonogenic potential, indicating its regenerative potential, on intraperitoneal administration of GN. The results reflect the potential of the nanoparticle in cellular trafficking, site- specific drug delivery and bioimaging applications

Biography and Homoeopathy in Bengal: Colonial lives of a European heterodoxy

AbstractDespite being recognized as a significant literary mode in understanding the advent of the modern self, biographies as agenrehave received relatively little attention from South Asian historians. Likewise, histories of science and healing in British India have largely ignored the colonial trajectories of those sectarian, dissenting, supposedly pseudo-sciences and medical heterodoxies that have flourished in Europe since the late eighteenth century. This article addresses these gaps in the historiography to identify biographies as a principal mode through which an incipient, ‘heterodox’ Western science like homoeopathy could consolidate and sustain itself in Bengal. In recovering the cultural history of a category that the state archives render largely invisible, this article argues that biographies are more than a mere repository of individual lives, and in fact are a veritable site of power. In bringing histories of print and publishing, histories of medicine, and histories of life writing practices together, it pursues two broad themes: first, it analyses the sociocultural strategies and networks by which scientific doctrines and concepts are translated across cultural borders. It explores the relation between medical commerce, print capital, and therapeutic knowledge to illustrate that acculturation of medical science necessarily drew upon and reinforced local constellations of class, kinship, and religion. Second, it simultaneously reflects upon the expanding genre of homoeopathic biographies published since the mid-nineteenth century: on their features, relevance, and functions, examining in particular the contemporary status of biography vis-à-vis ‘history’ in writing objective pasts.This is the accepted manuscript. The final version is available from CUP at http://dx.doi.org/10.1017/S0026749X1400057

Urgent Need for Field Surveys of Coronaviruses in Southeast Asia to Understand the SARS-CoV-2 Phylogeny and Risk Assessment for Future Outbreaks

Phylogenetic analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is focused on a single isolate of bat coronaviruses (bat CoVs) which does not adequately represent genetically related coronaviruses (CoVs) [...

The structural basis of accelerated host cell entry by SARS-CoV-2 dagger

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the pandemic coronavirus disease 2019 (COVID-19) that exhibits an overwhelming contagious capacity over other human coronaviruses (HCoVs). This structural snapshot describes the structural bases underlying the pandemic capacity of SARS-CoV-2 and explains its fast motion over respiratory epithelia that allow its rapid cellular entry. Based on notable viral spike (S) protein features, we propose that the flat sialic acid-binding domain at the N-terminal domain (NTD) of the S1 subunit leads to more effective first contact and interaction with the sialic acid layer over the epithelium, and this, in turn, allows faster viral ‘surfing’ of the epithelium and receptor scanning by SARS-CoV-2. Angiotensin-converting enzyme 2 (ACE-2) protein on the epithelial surface is the primary entry receptor for SARS-CoV-2, and protein–protein interaction assays demonstrate high-affinity binding of the spike protein (S protein) to ACE-2. To date, no high-frequency mutations were detected at the C-terminal domain of the S1 subunit in the S protein, where the receptor-binding domain (RBD) is located. Tight binding to ACE-2 by a conserved viral RBD suggests the ACE2-RBD interaction is likely optimal. Moreover, the viral S subunit contains a cleavage site for furin and other proteases, which accelerates cell entry by SARS-CoV-2. The model proposed here describes a structural basis for the accelerated host cell entry by SARS-CoV-2 relative to other HCoVs and also discusses emerging hypotheses that are likely to contribute to the development of antiviral strategies to combat the pandemic capacity of SARS-CoV-2

Possible Transmission Flow of SARS-CoV-2 Based on ACE2 Features

Angiotensin-converting enzyme 2 (ACE2) is the cellular receptor for the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that is engendering the severe coronavirus disease 2019 (COVID-19) pandemic. The spike (S) protein receptor-binding domain (RBD) of SARS-CoV-2 binds to the three sub-domains viz. amino acids (aa) 22-42, aa 79-84, and aa 330-393 of ACE2 on human cells to initiate entry. It was reported earlier that the receptor utilization capacity of ACE2 proteins from different species, such as cats, chimpanzees, dogs, and cattle, are different. A comprehensive analysis of ACE2 receptors of nineteen species was carried out in this study, and the findings propose a possible SARS-CoV-2 transmission flow across these nineteen species

A unique view of SARS-COV-2 through the lens of ORF8 protein

Immune evasion is one of the unique characteristics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) attributed to its ORF8 protein. This protein modulates the adaptive host immunity through down-regulation of MHC-1 (Major Histocompatibility Complex) molecules and innate immune responses by surpassing the host\u27s interferon-mediated antiviral response. To understand the host\u27s immune perspective in reference to the ORF8 protein, a comprehensive study of the ORF8 protein and mutations possessed by it have been performed. Chemical and structural properties of ORF8 proteins from different hosts, such as human, bat, and pangolin, suggest that the ORF8 of SARS-CoV-2 is much closer to ORF8 of Bat RaTG13-CoV than to that of Pangolin-CoV. Eighty-seven mutations across unique variants of ORF8 in SARS-CoV-2 can be grouped into four classes based on their predicted effects (Hussain et al., 2021) [1]. Based on the geo-locations and timescale of sample collection, a possible flow of mutations was built. Furthermore, conclusive flows of amalgamation of mutations were found upon sequence similarity analyses and consideration of the amino acid conservation phylogenies. Therefore, this study seeks to highlight the uniqueness of the rapidly evolving SARS-CoV-2 through the ORF8

Common variants in CLDN2 and MORC4 genes confer disease susceptibility in patients with chronic pancreatitis

A recent Genome-wide Association Study (GWAS) identified association with variants in X-linked CLDN2 and MORC4 and PRSS1-PRSS2 loci with Chronic Pancreatitis (CP) in North American patients of European ancestry. We selected 9 variants from the reported GWAS and replicated the association with CP in Indian patients by genotyping 1807 unrelated Indians of Indo-European ethnicity, including 519 patients with CP and 1288 controls. The etiology of CP was idiopathic in 83.62% and alcoholic in 16.38% of 519 patients. Our study confirmed a significant association of 2 variants in CLDN2 gene (rs4409525—OR 1.71, P = 1.38 x 10-09; rs12008279—OR 1.56, P = 1.53 x 10-04) and 2 variants in MORC4 gene (rs12688220—OR 1.72, P = 9.20 x 10-09; rs6622126—OR 1.75, P = 4.04x10-05) in Indian patients with CP. We also found significant association at PRSS1-PRSS2 locus (OR 0.60; P = 9.92 x 10-06) and SAMD12-TNFRSF11B (OR 0.49, 95% CI [0.31–0.78], P = 0.0027). A variant in the gene MORC4 (rs12688220) showed significant interaction with alcohol (OR for homozygous and heterozygous risk allele -14.62 and 1.51 respectively, P = 0.0068) suggesting gene-environment interaction. A combined analysis of the genes CLDN2 and MORC4 based on an effective risk allele score revealed a higher percentage of individuals homozygous for the risk allele in CP cases with 5.09 fold enhanced risk in individuals with 7 or more effective risk alleles compared with individuals with 3 or less risk alleles (P = 1.88 x 10-14). Genetic variants in CLDN2 and MORC4 genes were associated with CP in Indian patients

Beyond form and functioning: Understanding how contextual factors influence village health committees in northern India

Health committees are a common strategy to foster community participation in health. Efforts to strengthen committees often focus on technical inputs to improve committee form (e.g. representative membership) and functioning (e.g. meeting procedures). However, porous and interconnected contextual spheres also mediate committee effectiveness. Using a framework for contextual analysis, we explored the contextual features that facilitated or hindered Village Health, Sanitation and Nutrition Committee (VHSNC) functionality in rural north India. We conducted interviews (n = 74), focus groups (n = 18) and observation over 1.5 years. Thematic content analysis enabled the identification and grouping of themes, and detailed exploration of sub-themes. While the intervention succeeded in strengthening committee form and functioning, participant accounts illuminated the different ways in which contextual influences impinged on VHSNC efficacy. Women and marginalized groups navigated social hierarchies that curtailed their ability to assert themselves in the presence of men and powerful local families. These dynamics were not static and unchanging, illustrated by pre-existing cross-caste problem solving, and the committee's creation of opportunities for the careful violation of social norms. Resource and capacity deficits in government services limited opportunities to build relationships between health system actors and committee members and engendered mistrust of government institutions. Fragmented administrative accountability left committee members bearing responsibility for improving local health without access to stakeholders who could support or respond to their efforts. The committee's narrow authority was at odds with widespread community needs, and committee members struggled to involve diverse government services across the health, sanitation, and nutrition sectors. Multiple parallel systems (political decentralization, media and other village groups) presented opportunities to create more enabling VHSNC contexts, although the potential to harness these opportunities was largely unmet. This study highlights the urgent need for supportive contexts in which people can not only participate in health committees, but also access the power and resources needed to bring about actual improvements to their health and wellbeing.IS

Advancements in Word Alignment: Introducing a Novel Count-Based Subword Model Alongside Neural and Ensemble Models

The task of aligning words across source and target languages, known as word alignment, plays a crucial role in natural language processing and machine translation. This thesis addresses the word alignment problem by developing and comparing three models: a count-based subword model, a baseline encoder-decoder neural alignment model, and an ensemble model. The count-based subword model utilizes statistical measures and co-occurrence statistics for word alignment estimation. The neural alignment model employs an encoder-decoder architecture with attention mechanisms for end-to-end alignment learning. The ensemble model combines the strengths of both the count-based and neural models to improve alignment accuracy and robustness. Through extensive experimentation, we demonstrate the effectiveness of each model in capturing subword boundaries, identifying relationships, and aligning words across parallel sentences. The results highlight the superior performance of the count-based subword model and the ensemble model, showcasing the potential for more accurate and robust alignment techniques with applications in various natural language processing tasks. This research contributes to the advancement of word alignment techniques, providing valuable insights and methods for enhancing multilingual processing, machine translation, and other language-related applications.M.Eng