Volume 13 | Issue 8 |

 Abstract

This paper explores how Indian Christianity is engaging with digital technology, revealing shifts in worship, spirituality, community, identity, authority, and cultural expression. Drawing on digital religion research, it shows how traditional practices are being reimagined through online platforms, fostering "digital inculturation" that blends theological heritage with technological innovation. The COVID-19 pandemic accelerated these changes, expanding virtual worship, pastoral care, and activism, while raising questions on sacramental validity and the digital divide. Indian Christians navigate global connectivity and local rootedness, using vernacular expressions, cultural symbols, and social justice advocacy to shape distinct cyber-practices. The study offers insights into religious adaptation in a digitally interconnected yet culturally diverse context.

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 Keywords

Virtuality, Internet, Cyber Practices, Indian Christianity, Digital Religion

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Traditional Indian food includes a wide range of meals from different parts of the country, diets, and ways of cooking them. The carbon footprint of 753 classic Indian dishes is examined in this extensive study to assess their environmental impact and find tren ds among dietary habits and regions. Using a Kaggle dataset that included comprehensive nutritional and carbon footprint data, we evaluated foods from three dietary categories (vegetarian, non-vegetarian, and eggetarian) and five geographical regions (North, South, East, West, and Continental). Our study shows notable disparities in environmental impact, with non-vegetarian dishes having a carbon footprint that is 2.38 times more than that of vegetarian substitutes (1.3413 vs. 0.5640 kg CO2e). According to regional data, South Indian cuisines have the lowest average impact (0.5726 kg CO2e), whereas Continental food has the most (0.7079 kg CO2e). The study offers vital information for creating sustainable dietary recommendations and encouraging ecologically friendly traditional Indian food selections.

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 Keywords

carbon footprint, Traditional Indian cuisine, Environmental impact, Sustainable diet, regional cuisine, Food sustainability

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Diabetes mellitus is a complex, chronic condition that requires early and accurate diagnosis to prevent long-term complications. Traditional machine learning models rely on unimodal inputs, such as retinal images or blood test reports, which may not capture the full clinical context of the patient. This research proposes a comprehensive multimodal deep learning framework that integrates three heterogeneous data sources: retinal fundus images, structured blood test reports, and unstructured clinical notes extracted from electronic health records (EHRs). The visual data is processed using Convolutional Neural Networks (CNNs) to extract spatial features from retinal images, while tabular lab data is modeled using feed-forward neural networks. For clinical text, we leverage the Bidirectional Encoder Representations from Transformers (BERT) to capture semantic and contextual representations of patient history. A late fusion strategy is employed to combine modality-specific embeddings and generate a unified prediction for diabetes diagnosis and risk scoring. Our model is trained and evaluated on a multimodal dataset comprising real-world patient records. Preliminary results demonstrate that the proposed approach significantly outperforms unimodal models in terms of accuracy, F1-score, and AUC. The study highlights the potential of multimodal AI systems to provide more robust, explainable, and patient-specific diagnostic support in clinical settings. Future work will focus on improving interpretability and adapting the model for real-time deployment in healthcare systems.

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 Keywords

Multimodal learning, diabetes prediction, deep learning, BERT, retinal imaging, clinical notes, EHR, blood test data, fusion networks, medical AI, explainable AI, healthcare analytics

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A non-fluctuating and efficient power delivery system is essential for the effective functioning of rural industry clusters, which consists of small and medium sized enterprises (SMEs) involved in sectors like agriculture, textiles, food processing, handicrafts and more. However rural areas often face inconsistent electricity due to outdated infrastructure, inaccurate forecasting, and limited automation. This paper proposes a lightweight, AI based predictive model for detecting power supply fluctuations using historical voltage and frequency data. By integrating rule-based logic with a user-friendly web interface developed in Streamlit, the system provides real-time visualizations and alerts on voltage instability. The achieved a prediction accuracy of approximately 90% with a response time of 2-3 seconds for large datasets. In contrast to advanced smart grid solutions, the proposed system is tailored for rural environments with constrained connectivity and users with minimal technical expertise. It presents a feasible direction for building resilient and inclusive forecasting tools that can enhance energy reliability in rural industry clusters.

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Rural industry clusters, voltage fluctuation prediction, ai based prediction, frequency data analysis, real-time visualization, lightweight machine learning model, energy reliability, rural electrification, low-infrastructure solution

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The world has witnessed the suffering and pain of human beings, and women are the most suffering beings. There was less glint of light of justice for those depressed ones. They were bereft of education, politics, economical issues and ownership of wealth, and understood as things of use. Ownership of wealth, writing, politics and big social issues were assumed as fixed deposit patriarchal properties. After a long time, it was women's own consciousness that brought them on the path of struggle to snatch their rights from dominated beings. With the passage of time they started to sense their suffering and pain, and on the other hand they accessed freedom of patriarchal society. Kamala Das is a fearless poetess in Indian English Poetry. She fought with her senses using her pen as a powerful weapon to awaken the consciousness of women. Through her poetry she resists the dominance of patriarchal society on women and teaches women to be aware and conscious.

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Suffering, Struggle, consciousness, Patriarchal, Freedom, Dominated, Education, Politics, Ownership, Depressed

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The paper aims to explore the role of radio as a posthuman catalyst in Anthony Doerr's All the Light We Cannot See, foregrounding how nonhuman technologies mediate identity, ethics, and relationality in wartime conditions. Drawing on posthumanist theories by Rosi Braidotti and N. Katherine Hayles, the paper argues that the radio functions not merely as a narrative device or technological artifact, but as an active agent within a distributed network of cognition, care, and resistance. Through its capacity to collapse temporal and spatial distances, the radio enables new modes of becoming that transcend the limitations of the human body and national ideology. For the blind protagonist Marie-Laure, the radio acts as a prosthetic sensory extension, facilitating epistemological and affective access to the world. For Werner, an orphaned German boy enlisted into the Nazi war machine, radio transmissions disrupt ideological indoctrination and awaken a relational ethics rooted in empathy and shared vulnerability. The paper examines how sound waves and disembodied voices constitute a posthuman ecology of connection, challenging humanist binaries such as self/other, body/machine, and presence/absence. The radio is both a weapon of surveillance and a tool of subversion, revealing the ambivalent entanglements of human and nonhuman actors. In treating radio not simply as historical context but as a posthuman node of transformation, Doerr's novel reimagines resilience, memory, and moral responsibility in a technologically mediated world.

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Posthumanism, Radio technology, Anthony Doerr, Werner, Wartime communication, Nonhuman networks, Ethics of connectivity

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In Indian literature as well as in Bengali literature, the position of tribal society can be observed from the era of the Charyapada. Novelist Ashutosh Mukhopadhyay, who started writing from the fifties, has also written about that ancient tribal society in several novels. Throughout his novel 'Panchatpa' there is a various picture of tribal life. There are hills in two sides of Marai river. Many villages of tribal Santals are at the foot of those hills. The main plot of the novel starts from this place. The novelist has started weaving the novel by putting the modernity of the civilized society in front of the ancient uneducated tribal people in this region on the banks of Marai. As a result, various reactions of the tribal society and the history of their life are found. And from this history it is known about the struggle for the survival of that primitive civilization till today. In the novel 'Panchatpa' on one side there is a struggle for existence and on the other side there is how a new civilized society has arisen based on the existence of those early humans. The road to new urbanization is widening.

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??????? (Novel), ????????? (Novelist) , ???????? (Psychology), ?????? (Urbanization), ??????? ???? (Tribal life), ??? ???? (Civilized Society), ?????? ?????? (Class Discrimination), ????????? (Libido), ??????? (Relationship), ????????? ???? (Upper class), ????????? ???? (Middle class).

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Indian feminist literature intricately intertwines the motifs of love and longing with a vehement critique of patriarchal paradigms. Far from mere romantic indulgence, these narratives encapsulate the emotional estrangement, existential voids, and repressed desires experienced by women confined within domestic orthodoxies. Eminent writers such as Shashi Deshpande and Anita Desai dissect the claustrophobia of conjugal life, where women grapple with imposed silence and psychological exile. The sanctified archetypes of womanhood, epitomized by mythic figures like Sita, are subverted to illuminate the insidious expectations of submissiveness. Kamala Das's candid exploration of feminine libido and metaphysical yearning ruptures literary taboos, foregrounding corporeal and emotional autonomy. Literary voices from Toru Dutt to Pandita Ramabai lament the entrenched misogyny of their eras while asserting proto-feminist resistance. Post-independence literature, from Kamala Markandaya's portrayal of agrarian despair to Desai's urban alienation, magnifies the multifaceted suffering of Indian women. Shashi Deshpande's The Binding Vine audaciously exposes the trauma of marital violation cloaked in cultural silence. Anita Nair delineates love as an ambivalent force with tumultuous. Shobha De's Second Thoughts confronts the entanglement of emotional deprivation and suppressed eroticism. The longing in these texts extends beyond eroticism to encompass spiritual anchorage, intellectual emancipation, and socio-cultural liberation. Contemporary feminist literature further dismantles heteronormative constructs by embracing queer identities and alternative desires. These narratives are not merely cathartic expressions but insurgent articulations against hegemonic structures. Through a constellation of diverse voices, Indian feminist literature reclaims the fragmented self and redefines the contours of female subjectivity.

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LOVE AND LONGING IN FEMINISM IN INDIAN LITERATURE

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Lymphoma is a complex group of hematologic malignancies originating from lymphocytes, encompassing Hodgkin lymphoma (HL) and non-Hodgkin lymphoma (NHL). Each subtype presents distinct biological, clinical, and pathological characteristics, necessitating precise diagnostic and therapeutic approaches. Advances in molecular biology and immunology have significantly enhanced our understanding of the mechanisms underlying lymphomagenesis, including genetic mutations, epigenetic alterations, and immune dysregulation. These discoveries have led to refined classification systems and improved risk stratification.Diagnostic approaches for lymphoma have progressed with the integration of advanced imaging, immunophenotyping, and molecular profiling techniques, enabling more accurate subtype identification and prognostication. Standard therapies, such as chemotherapy and radiotherapy, remain foundational, but the treatment landscape has shifted with the advent of targeted therapies and immunotherapeutics. Monoclonal antibodies, immune checkpoint inhibitors, and bispecific T-cell engagers have improved response rates and survival outcomes. Furthermore, chimeric antigen receptor (CAR)-T cell therapy has shown remarkable efficacy in relapsed or refractory cases, offering durable remissions in patients with limited options.This review synthesizes recent progress in lymphoma research and clinical care, emphasizing the critical role of precision medicine and emerging therapeutics in addressing unmet needs.

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KEY WORDS: Lymphoma, Hodgkin Lymphoma, Non-Hodgkin Lymphoma

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Background: In the context of secondary education, where students encounter increasingly complex texts, the ability to engage in metacognitive processes becomes integral for effective comprehension and critical analysis. Acknowledging the challenges students face in employing metacognitive strategies and the pivotal influence of teachers, this research seeks to explore and enhance instructional methods that foster metacognitive development. Objective: This study aims to investigate, identify, and propose effective strategies for developing metacognitive behaviors among secondary school students in the context of reading English language texts. The objectives include exploring specific challenges faced by students in employing metacognitive strategies, ascertaining the effective metacognitive behaviors observed in students with strong reading comprehension skills, and analyzing the influential role of teachers in shaping students' metacognitive development during English language reading. Methodology: The study is qualitative type. The reviewed articles helped in gaining a nuanced understanding of the strategies, challenges, and influences associated with developing metacognitive behaviors in secondary school students during English language reading. The combination of empirical studies, case analyses, and reviews contributed to a comprehensive and well-informed exploration of the research theme. Conclusion: The exploration of strategies for developing metacognitive behaviors among secondary school students in English language reading is poised to significantly impact educational practices. By identifying specific challenges, understanding effective metacognitive behaviors, and analyzing the influence of teachers, this study contributes valuable insights for enhancing instructional methods. The findings hold the potential to inform educators and policymakers in designing targeted interventions that empower students to navigate the complexities of reading with heightened cognitive awareness. Ultimately, the study aspires to contribute to the cultivation of metacognitive competencies, fostering a generation of secondary school students equipped with the skills necessary for proficient and reflective English language reading.

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 Keywords

Metacognitive behaviors, Secondary school students, Reading, English language, Strategies, Teacher

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