Search Results (823)

This study analyzes how state-level anti-conversion laws in India—ostensibly enacted to protect the religious freedom of vulnerable communities—can structurally generate minority–minority conflicts within Adivasi (tribal) populations. Similar patterns have surfaced across multiple regions. This study examines cases from Chhattisgarh, Odisha, and Jharkhand as illustrative modalities of this broader pattern: spectacular violence, everyday exclusion, and legal weaponization. The analysis identifies three mechanisms that produce these conflicts. Firstly, the “Hindu-plus” classificatory framework incorporates diverse indigenous traditions into an expanded Hindu category while positioning non-Indic religions as external. Secondly, anti-conversion laws frame religious change as a threat to indigenous cultural identity, and the state delegates enforcement to village councils, customary authorities, and judicial–administrative institutions. Thirdly, the politics of belonging translates these classificatory and enforcement practices into membership boundaries that operate through territorial control and cultural claims to authenticity, producing inclusion and exclusion. The findings suggest that anti-conversion laws operate as a political technology of protection, generating minority–minority conflicts while channeling disputes over rights into nationalist boundary-making over minority identity and belonging. Full article

Glyphosate, one of the most widely used herbicides worldwide, has raised significant concerns regarding its potential involvement in hepatotoxicity and molecular changes associated with liver cancer biology. These concerns highlight the need to better understand its underlying molecular mechanisms in hepatoma cells. Emerging evidence suggests that glyphosate exposure may increase the risk of liver cancer and chronic liver disease. However, the precise molecular alterations and promising biomarkers associated with glyphosate-induced hepatic toxicity and disease remain largely unexplored. In this study, an RNA-Seq-based in silico systems biology approach was employed to elucidate glyphosate-induced differential transcriptional profiling in hepatoma cells. This analysis revealed significant transcriptional profiling characterized by the upregulated hub genes ATF3, JUNB, ALDOA, FOSB, PFKFB3, G6PD, ENO2, HK2, FOS and PGK1. These genes were primarily associated with glucose metabolism, TNF-α/NF-κB signaling, epithelial–mesenchymal transition (EMT) and cellular stress responses. Conversely, several key genes were significantly downregulated, including PIK3R1, FYN, CEBPA, MLXIPL, PPARA, CD36, PCK2, PNPLA3, NR1H4 and MGLL, which were involved in lipid metabolism, immune regulation and non-alcoholic fatty liver disease (NAFLD) pathways. Notably, all hub genes demonstrated strong diagnostic performance, highlighting their potential as sensitive biomarkers of glyphosate exposure. Collectively, this study provides comprehensive insights into gene expression changes associated with glyphosate exposure in hepatoma cells, linking them to hepatic metabolic dysregulation and immune modulation and suggesting a panel of hub genes with potential diagnostic and therapeutic significance. Full article

Soda lakes are ecologically significant habitats characterized by high salinity, alkaline pH, and intense evaporation. These milieus are hostile to most life, though these lakes could be a rich source for discovering novel halotolerant and halophilic cyanobacterial taxa. The Indian subcontinent is endowed with shallow saline–alkaline lakes whose cyanobacterial diversity has been little explored. The present study was undertaken to explore the cyanobacterial diversity in an inland saline–alkaline lake (Sambhar Lake) in India using a polyphasic approach. Two thin, filamentous strains encapsulated within thick sheaths and capable of nodule formation under normal light conditions were recovered. Both isolates exhibited growth at up to 4% salinity, indicating their halotolerant nature. The studied strains exhibited <95% 16S rRNA gene similarity with closely related taxa from the genera Thainema and Insularia and formed a distinct evolutionary lineage in phylogenetic tree supported by a high bootstrap value. Additionally, the secondary structures of the 16S-23S Internal Transcribed Spacer (ITS) regions (D1-D1′ and BoxB) of the studied strains showed remarkable differences from phylogenetically closely related taxa, indicating these strains represent a new genus in the Nodosilineales: Krienitziella sambharensis gen. et sp. nov., in accordance with the International Code of Nomenclature for Algae, Fungi, and Plants (ICN). Full article

This study rethinks innovation diffusion in craft-based small and medium-sized enterprises (SMEs) by examining how cultural logics and collective governance shape selective digitalization. Drawing on a qualitative case of Ata handicraft SMEs in Bali, Indonesia, the study analyzes in-depth interviews with artisans through the lens of Innovation Diffusion Theory. The findings reveal that digital technologies are not rejected but adopted selectively, mediated by Balinese Hindu philosophies such as Tri Hita Karana, Tat Twam Asi, and Segilik Seguluk Selunglung Sebayantaka, which emphasize balance, relational ethics, and communal solidarity. Rather than pursuing efficiency-driven digital adoption, artisans prioritize collective control, cultural continuity, and equitable value distribution. Digital tools function primarily as complementary mechanisms—supporting coordination, documentation, and market interaction—rather than as transformative drivers of organizational change. This study contributes theoretically by extending Innovation Diffusion Theory beyond linear adoption models, demonstrating how culturally grounded governance structures recalibrate the meaning and trajectory of digital innovation. More broadly, it offers insights for inclusive innovation discourse by showing how collective institutions enable SMEs to engage with digitalization while safeguarding cultural integrity and social sustainability. Full article

India, the world’s largest producer and consumer of milk, deifies cows. Contemporary Hindu religious beliefs bestow upon the cow the status of a mother who provides humans with life-sustaining food—milk. However, the role of this culturally shaped human–animal dynamic in Indians’ routine dairy consumption remains largely unknown. This study aims to understand the role of cow-related religious beliefs in Indians’ intentions to consume cow dairy products using the theory of planned behavior (TPB) model. A quantitative survey was conducted involving 559 Indian adults, utilizing a snowball sampling method. Employing structural equation modeling, the findings indicated that Indians’ dairy consumption intentions are affected by their attitudes, subjective norms, and perceived behavioral control towards the dairy products (p < 0.001). Subjective norms had the most notable influence on dairy consumption intentions (β= 0.29, p < 0.001), and cow-related religious beliefs were a significant moderator of this link (Δβ= 0.11, p < 0.01). These findings show that consuming cow dairy products is a religiously shaped social practice in India. They reveal a conceptual and physical ‘culturalization’ of the cow in Indian society through which the animal is simultaneously sacralized and commodified. This highlights a paradoxical situation where the demand for cow dairy products, which arises significantly from the cow’s sacred, mother-like status, in turn perpetuates the growth and sustenance of the same dairy industry that compromises her wellbeing (Mother-Milk paradox). This irony, therefore, challenges the assumptions surrounding the use of cow dairy products as a normalized socioreligious practice in India, questions the abuse of the cow’s acclaimed sacrality for capitalistic purposes, and calls for further research on Indians’ awareness of the cow’s animality and of the implications of the cow’s religious commodification on the animal’s wellbeing. In this way, a deeper appreciation of the role of sociocultural dynamics in human–animal relations can be obtained, and generate culturally sustainable human–bovine relationships which promote both human and animal wellbeing. Full article

This article examines the revival of the Romantic Ballad in contemporary anglophone writing through Vanavil K. Ravi’s The Ballad of the Warrior-Girl, which reimagines the Tamil folk figure, Kuyili and her role in the Sivagangai rebellion, a Romantic-era anti-colonial uprising in South India. In retelling this folk memory, Ravi mobilizes a Romantic-era form to recast an instance of a local uprising, rife with caste dynamics, into a national and globalized narrative aligned with neo-nationalist storytelling conventions. By transforming a lower-caste, female militant in a local language into a Hindu, pan-Indian icon of patriotic martyrdom, Ravi’s ballad participates in a larger trend of globalized translations. I situate the text within intersecting histories of Romanticisms, balladic traditions, and the global circulation of literary forms. Through this, I outline what I call the ‘global ballad’ as distinct from the ‘globalized ballad’. While the latter flattens cultural difference into consumable cosmopolitanism, the former centers opacity and untranslatability across rhizomatic relationalities. I show how reading literary texts alongside different critical traditions is a productive way to counter the exoticized, neoliberal circulation of literature in translation. Full article

This article adopts a comparative mythology framework in order to situate creation myths within a broad cultural context. It examines how different societies conceptualize the emergence of the universe through the interconnected notions of thought and word. The study demonstrates that, despite cultural diversity, these narratives articulate shared principles concerning the mental and linguistic foundations of existence while preserving tradition-specific expressions. The analysis is based on qualitative content analysis of primary mythological texts drawn from Hindu, Maori, Maya, Maiana, Dogon, Polynesian, Ancient Egyptian, and Turkish traditions, encompassing sources ranging from the Rig Veda and the Popol Vuh to the theology of Ptah and Dogon doctrines of word-based creation. These materials were examined through hermeneutic reading practices and comparatively evaluated using concept-oriented analytical categories. The findings indicate that cosmogonic myths operate beyond mere narrative description by structuring coherent models of creation in which cognitive intention and verbal articulation play constitutive roles. Full article

Neuropathic pain (NP) arises from maladaptive changes in peripheral and central nociceptive circuits, yet molecular alterations spanning the entire pain neuraxis remain poorly understood. Neuroinflammation is increasingly recognized as a central mechanism in NP chronification, yet the region-specific molecular events linking immune activation to affective pain processing remain inadequately defined. In this study, we employed high-resolution LC-HRMS-based quantitative proteomics to investigate chronic constriction injury (CCI)-induced molecular alterations in the sciatic nerve (SN), spinal cord (SC), and orbitofrontal cortex (OFC) of male Wistar rats, a region critical for affective and cognitive pain modulation. Behavioral assessments confirmed the development of NP phenotypes and motor deficits. Proteomic profiling revealed exclusive and differentially expressed proteins enriched in neuroinflammatory pathways across all regions. S100 proteins (S100A8 and S100B) were significantly elevated in SN, SC, and OFC, as confirmed by immunofluorescence. Their up-regulation coincided with increased astrocyte (GFAP) and microglial (Iba-1) activation, highlighting a pervasive inflammatory milieu. Intriguingly, the OFC proteome demonstrated marked up-regulation of dopamine-regulating proteins and positive regulation of dopaminergic neurotransmission, suggesting involvement of reward-related analgesic circuits. Together, our findings delineate a “nociceptive neuraxis” driven by neuroimmune activation and neuromodulatory adaptations that interfaces with dopaminergic signaling to influence sensory and affective components of pain. This integrative molecular map highlights potential therapeutic targets, including glial-derived S100 proteins and dopamine modulators for the comprehensive management of NP. Full article

In this work, we extend the classical framework of quantization for Borel probability measures defined on normed spaces ${\mathbb{R}}^k$ by introducing and analyzing the notions of the nth constrained quantization error, constrained quantization dimension, and constrained quantization coefficient. These concepts generalize the well-established nth quantization error, quantization dimension, and quantization coefficient, which are traditionally considered in the unconstrained setting and thereby broaden the scope of quantization theory. A key distinction between the unconstrained and constrained frameworks lies in the structural properties of optimal quantizers. In the unconstrained setting, if the support of P contains at least n elements, then the elements of an optimal set of n-points coincide with the conditional expectations over their respective Voronoi regions; this characterization does not, in general, persist under constraints. Moreover, it is known that if the support of P contains at least n elements, then any optimal set of n-points in the unconstrained case consists of exactly n distinct elements. This property, however, may fail to hold in the constrained context. Further differences emerge in asymptotic behaviors. For absolutely continuous probability measures, the unconstrained quantization dimension is known to exist and equals the Euclidean dimension of the underlying space. In contrast, we show that this equivalence does not necessarily extend to the constrained setting. Additionally, while the unconstrained quantization coefficient exists and assumes a unique, finite, and positive value for absolutely continuous measures, we establish that the constrained quantization coefficient can exhibit significant variability and may attain any nonnegative value, depending critically on the specific nature of the constraint applied to the quantization process. Full article

In survey sampling, the presence of non-response and measurement error often leads to biased and inefficient estimates, particularly in stratified random sampling designs. This study introduces a new calibration estimation technique for stratified sampling that effectively accounts for non-response and measurement error. By incorporating auxiliary data and optimizing calibrated weights, the proposed estimator minimizes bias and enhances efficiency. The estimator employs auxiliary information through calibrated weights derived using a chi-square-type distance function. Furthermore, the performance of the suggested calibration estimator has been compared with that of the Hansen and Hurwitz’ estimator, the separate ratio-type estimator and the Singh’s estimator. To validate the efficiency and superiority of the proposed method over traditional estimators, an empirical evaluation has been carried out using simulated datasets. The comparative assessment with existing estimators demonstrates that the proposed method provides improved precision and robustness. Full article

This is the first investigation that attempts to synthesize chitosan-loaded vanillin nanoformulation (vanillin-Nf) as a novel edible coating agent to prolong the storage life of Indian gooseberry (amla). Different concentrations of vanillin were encapsulated into chitosan via ionic gelation approach using sodium tripolyphosphate as a cross-linker. Vanillin-Nf 1:1 (w/v) exhibited maximum loading capacity (2.502 ± 0.008%) and encapsulation efficiency (54.483 ± 1.165%). The physico-chemical characterization of vanillin-Nf through SEM, DLS, FT-IR, and XRD techniques confirmed effective incorporation of vanillin into the chitosan biomatrix and formation of spherical nanocapsules, with a mean particle size of 232.83 nm, zeta potential +69.66 mV, and polydispersity index 0.296. The in vitro release profile of vanillin exhibited a biphasic and regulated release pattern. The application of vanillin-Nf as an edible coating solution on amla (Phyllanthus emblica L.) fruits was highly effective in reducing decay incidence up to 42.84% and extended their shelf-life to 15 days at 25 ± 2 °C. The vanillin-Nf coating significantly reduced weight loss in amla fruits (24.39 ± 1.02%) in comparison to control. In addition, vanillin-Nf coating also helped in preserving the key quality parameters, including pH, chlorophyll content, total soluble solids, total phenols, and antioxidant capacity of Indian gooseberries to a substantial extent at the end of storage. Collectively, our findings indicate that vanillin-Nf coating is an effective post-harvest approach for controlling decay, prolonging shelf-life, and maintaining the nutritional attributes of Indian gooseberries, highlighting its potential for commercial application in the food and agriculture industry. Full article

Mountain treelines are among the most climate-sensitive ecosystems on Earth, yet their fine-scale structural and species level dynamics remain poorly resolved in the Himalayas. In particular, the absence of three-dimensional, crown level measurements have hindered the detection of structural thresholds and species turnover that often precede treeline shifts. To bridge this gap, we introduce UAV LiDAR—applied for the first time in the Hindu Kush Himalayas—to quantify canopy structure and tree species distributions across a steep treeline ecotone in the Manang Valley of central Nepal. High-density UAV-LiDAR data acquired over elevations of 3504–4119 m was used to quantify elevation-dependent changes in canopy stature and cover from a canopy height model derived from the 3D point cloud, while individual tree segmentation and species classification were performed directly on the 3D, height-normalized point cloud at the crown level. Individual trees were delineated using a watershed-based segmentation algorithm while tree species were classified using a random forest model trained on LiDAR-derived structural and intensity metrics, supported by field-validated reference data. Results reveal a sharply defined treeline characterized by an abrupt collapse in canopy height and cover within a narrow ~60–80 m vertical interval. Treeline “threshold” was quantified as a breakpoint elevation from a piecewise model of tree cover versus elevation, and the elevation span over which modeled cover and height distributions rapidly declined from forest values to near-zero. Segmented regression identified a distinct structural breakpoint near 3995 m elevation. Crown-level species predictions aggregated by elevation quantified an ordered turnover in dominance, with Pinus wallichiana most frequent at lower elevations, Abies spectabilis peaking mid-slope, and Betula utilis concentrated near the upper treeline. Species classification achieved high overall accuracy (>85%), although performance varied among taxa, with broadleaf Betula more difficult to discriminate than conifers. These findings underscore UAV LiDAR’s value for resolving sharp ecological thresholds, identifying elevation-driven simplification in forest structure, and bridging observation gaps in remote, rugged mountain ecosystems. Full article

The emergence of SARS-CoV-2 posed a great global threat and emphasized the urgent need for diagnostic tools that are rapid, reliable, sensitive and capable of real-time monitoring of SARS-CoV-2 infections. Recent investigations have identified a potential connection between SARS-CoV-2 infection and gut dysbiosis, highlighting the sophisticated interplay between the virus and the host microbiome. This review article discusses the eminence of nanobiosensors, as state-of-the-art tools, to investigate and clarify the connection between SARS-CoV-2 pathogenesis and gut microbiome imbalance. Nanobiosensors are uniquely advantageous owing to their sensitivity, selectivity, specificity, and reliable monitoring capabilities, making them well-suited for identifying both viral particles and microbial markers in biological samples. We explored a range of nanobiosensor platforms and their potential use for concurrently monitoring the gut dysbiosis induced by different pathological conditions. Additionally, we explore how advanced sensing technologies can shed light on the mechanisms driving virus-induced dysbiosis, and the implications for disease progression and patient outcomes. The integration of nanobiosensors with microfluidic devices and artificial intelligence algorithms has also been explored, highlighting the potential of developing point-of-care diagnostic tools that provide comprehensive insights into both viral infection and gut health. Utilizing nanotechnology, scientists and healthcare professionals may gain a more profound insight into the complex interaction dynamics between SARS-CoV-2 infection and the gut microenvironment. This could pave the way for enhanced diagnostic and prognostic approaches, treatment courses, and patient care for COVID-19. Full article

With the enactment of the 2013 government mandate, Indian corporations meeting specific criteria no longer have the discretion to forgo CSR expenditures. Previous studies have reported negative capital market reactions to this regulatory intervention. In contrast, our study offers a long-term perspective on the impact of the CSR law on firms’ investment efficiency. Using a difference-in-differences framework, this study examines publicly listed Indian firms from 2011 to 2018, capturing a clean pre- and post-mandate window that isolates the structural impact of the CSR law while excluding confounding and shocks such as the COVID-19 crisis. Thus, the paper focuses on identifying the long-term institutional and structural effects of CSR rather than short-term cyclical fluctuations. We find that the CSR law leads to an increase in the investment efficiency of affected firms, driven primarily by reductions in agency conflicts and information asymmetry. This effect is more pronounced among firms with a strong presence of active monitoring groups, such as Hindu-owned promoters and institutional investors. Improved efficiency is also profound among firms located in areas with a lower Human Development Index (HDI) and Gender Diversity Index (GDI). Our findings demonstrate the positive impact of mandatory CSR law on capitalism and present insights for policymakers for regulators as ESG and CSR mandates are increasingly debated and adopted. Full article

The aim of this article is to study duality results for nonsmooth mathematical programs with equilibrium constraints in terms of tangential subdifferentials. We study the Wolfe-type dual problem under the convexity assumptions and a Mond–Weir-type dual problem is also formulated under convexity and generalized convexity assumptions for MPEC by using tangential subdifferentials. We establish weak duality and the two dual programs by assuming tangentially convex functions and also obtain strong duality theorems by assuming generalized standard Abadie constraint qualification. Full article