artificial intelligence

The Borrowed Name: Counterfeit Sanctity, Artificial Intelligence, and the Architecture of the Final Deception

This research paper advances a novel constructive theological argument regarding the intersection of biblical eschatology and generative artificial intelligence (AI). Moving beyond traditional inquiries into the identity or chronology of the Antichrist, the author investigates the mechanism of deception described in New Testament corpora (Matthew 7, 2 Thessalonians 2, 2 Corinthians 11, and Revelation 13). Core ThesisThe paper identifies "Counterfeit Sanctity"—the weaponized mimesis of sacred language and divine invocation—as the central structural weapon of the eschatological deceiver. It argues that the final deception functions not through overt blasphemy or opposition to God, but through the sophisticated capture and impersonation of the Holy Spirit’s linguistic and phenomenological register. Technological SynthesisThe author identifies Large Language Models (LLMs) and generative heuristics as the first historical apparatus capable of realizing this mechanism at civilizational scale. By decoupling religiously fluent, spiritually authoritative speech from ontological character and pneumatic presence, generative AI allows for the manufacturing of "ownerless" sanctity. Key Contributions Exegetical Analysis: A synthesis of the "Lord, Lord" rejection in Matthew 7 with the "lying signs" of 2 Thessalonians 2. Patristic Grounding: Confirmation of the mimesis-of-the-sacred theory in the works of Irenaeus, Cyril of Jerusalem, and John Chrysostom. AI Epistemology: A structural comparison between the "disguise of light" (2 Cor. 11:14) and the output mechanics of generative systems. Practical Theology: A proposed "Pneumatological Epistemology" for the digital age, focusing on communal discernment (diakrisis), relational accountability, and the "Fruit Test" (Galatians 5).

Determinant factors in the teaching-learning process of software development: An AI-Assisted analysis

The objective of this study is to determine which factors influence the teaching and learning process of programming related subjects. Methodologically, a data collection instrument was applied using a purposive non-probability sampling technique to a sample of 39 students in a face-to-face and online learning environment. Data processing was performed using artificial intelligence tools. The results reveal that 85% of the subjects show positive aptitudes driven by vocation and a cognitive exhaustion index of 72%. This finding highlights that mental overload makes vocational interest insufficient, since abstract thinking is necessary for the coding process. The contribution of this work is to offer a diagnostic tool for the creation of pedagogical strategies that improve academic performance by mitigating mental exhaustion without affecting student motivation.

Transformation of Madrasah Teachers’ Scientific Writing Competence: Integration of Artificial Intelligence, Self-Efficacy, and Demystification of Online Journal Systems Through Sustainable Publication Clinics

Teachers’ scientific publication competence remains a major challenge in implementing Sustainable Professional Development (Pengembangan Keprofesian Berkelanjutan/PKB), particularly in madrasah education, where limited publication literacy, insufficient mentoring, and low digital scholarly competence often hinder publication outcomes. This study aimed to evaluate the effectiveness of a Sustainable Scientific Publication Clinic in improving madrasah teachers’ scientific publication competence through continuous individualized mentoring and ethical integration of digital scholarly tools. The study employed a mixed-methods approach using an explanatory sequential design involving 30 teachers from Madrasah Tsanawiyah (MTs) and Madrasah Aliyah (MA). Quantitative data were collected using a pretest–posttest scientific publication competence questionnaire, while qualitative data were obtained through observations and semi-structured interviews with ten purposively selected participants. The intervention was implemented over three months through academic writing workshops, individualized coaching, ethical use of Generative Artificial Intelligence (AI), Mendeley training, and Open Journal System (OJS) publication mentoring. Paired Sample t-test results showed a significant increase in the mean competency score from 2.26 to 4.36 (p < 0.001), with a very large effect size (Cohen’s d = 2.91) and an N-Gain of 77%. Furthermore, 73.33% of participants successfully submitted manuscripts, while 26.67% achieved article acceptance. Qualitative findings indicated that continuous mentoring, ethical AI utilization, and digital scholarly tools reduced writing barriers, strengthened self-efficacy, and improved participants’ readiness to complete the publication process. These findings suggest that the Sustainable Scientific Publication Clinic provides an effective, technology-supported, and output-oriented mentoring model for strengthening teachers’ scientific publication competence and supporting sustainable professional development.

Silicon-carbon anodes for solid‑state batteries: Challenges, optimization strategies, and future perspectives

Abstract Developing safe, high‑energy‑density energy storage systems is a central goal in electrochemistry. Silicon (Si) delivers a high theoretical specific capacity of 4200 mAh g-1, yet it suffers from severe volume expansion and interfacial degradation. Solid-state electrolytes (SSEs) can exert mechanical confinement and enable the formation of self-limited interfaces, rendering silicon-carbon (Si-C)/SSEs composite a highly promising anode system. This paper first analyzes the failure mechanisms in liquid-electrolyte systems, followed by an elaboration on the distinctive merits of Si-C-based solid-state anodes. Meanwhile, it identifies the core challenges confronting this system, including rigid interfacial contact, dynamic stress, and process compatibility issues. Recent research advances are reviewed from three critical perspectives: intrinsic material modification, interface engineering, and fabrication process optimization, covering diverse modification strategies at both the material and electrode levels. Finally, future research directions are prospected, with emphases on integrated material-device design, advanced in-situ characterization techniques, and artificial intelligence-empowered research and development, aiming to accelerate the practical deployment of low-voltage, high-energy-density solid-state batteries.

The Twin Pillars of Financial Stability: Navigating Convergence, Disruption, And Sustainability in Banking and Insurance

Abstract The global financial services sector is in the middle of a fundamental transformation. Banking and insurance—long seen as the twin pillars holding up financial stability—are no longer operating in separate silos. Instead, they are converging into a tightly integrated, technology-driven ecosystem where the boundaries between lending, risk transfer, and customer experience are rapidly dissolving. This paper explores how these two sectors are evolving together across four critical fronts: structural convergence through bancassurance and embedded finance; technological disruption driven by artificial intelligence, the Internet of Things, and blockchain; escalating systemic vulnerabilities including cyber threats and macroeconomic sensitivities; and the urgent integration of environmental, social, and governance criteria into core financial functions. Drawing on a systematic synthesis of peer-reviewed literature, regulatory publications, and industry reports, the paper offers a unified conceptual framework for understanding how financial intermediaries are rethinking their business models. The central argument is straightforward: future financial stability will not come from keeping banking and insurance apart, but from enabling them to work together—supported by agile technology, grounded in sustainable practices, and shielded by integrated risk management. The paper concludes with a candid assessment of limitations and a roadmap for future empirical research

Integration of artificial intelligence and multi-omics for precision medicine

Intellectual Property Rights in The Indian Entertainment Industry: Emerging Issues in Music, Cinema and OTT Platforms

Abstract India’s entertainment economy increasingly depends upon digital circulation, platform licensing and data-driven distribution. Music is consumed through streaming services, films move rapidly from theatres to online platforms, and over-the-top services commission, acquire and exploit content across multiple territories. These developments have expanded audiences and created new markets, but they have also exposed structural weaknesses in the protection and administration of intellectual property rights. This article examines emerging copyright and related-rights issues affecting music, cinema and OTT platforms in India. It adopts a doctrinal and analytical method, relying on the Copyright Act, 1957, the Copyright (Amendment) Act, 2012, the Information Technology Act, 2000, the Cinematograph Act, 1952 as amended in 2023, relevant rules, international instruments and judicial decisions. The article argues that the principal difficulty is not the absence of rights, but the fragmentation of ownership, licensing and enforcement. A single song or film may contain separate rights in lyrics, composition, sound recording, screenplay, performance, artwork and the audiovisual work itself. Digital exploitation further divides these rights by territory, language, duration, device, subscription model and mode of communication. Disputes therefore arise over royalty sharing, statutory licensing, online streaming, platform liability, piracy, synthetic performances, voice cloning and the commercial use of celebrity identity. Indian courts have responded through intermediary-liability principles, dynamic injunctions and personality-rights remedies, yet the legal position remains uneven in relation to generative artificial intelligence, transparent royalty accounting and cross-platform licensing. The article recommends clearer digital licensing standards, auditable royalty systems, stronger collective management, proportionate notice-and-action procedures, technologically informed anti-piracy remedies and a consent-based framework for artificial intelligence uses of voice, likeness and performance. A coherent approach must protect creators and performers without imposing indiscriminate liability on legitimate intermediaries. Such balance is necessary to sustain cultural production, promote lawful digital markets and preserve public access to diverse entertainment in India.

Role of Technology and Digital Claim System in Speeding Up the Compensation Process in Motor Vehicle Accident Cases

Abstract Getting timely financial compensation for road accident victims and their families is a matter of utmost humanitarian and legal importance. Traditionally, the compensation process through Motor Vehicle Accident Claims Tribunals (MACT) and insurance companies in many countries, including India, has been very complex, paper-based and time-consuming. However, in the modern era, the advent of technologies like Artificial Intelligence (AI), telematics, GPS, online portals and digital interoperable databases has brought a major revolution in this field. This research article examines in detail the role of technology in the process of motor accident claims, from filing to final settlement and payment. The study shows how digital platforms like e-DAR (e-Detailed Accident Report), through direct digital connectivity between police, hospitals, insurance companies and the judiciary, can reduce the time to compensation from years to months or weeks.

Reimagining India–Russia Relations: Towards Inclusive Societal Development Through Science and Technology

Abstract The historical legacy of friendship between India and Russia is firmly rooted in defense, energy and diplomatic cooperation. However, taking into consideration the current demands of the rapidly growing world of Artificial Intelligence and digital technologies, both these powerful nations should look beyond the traditional areas of partnership for building a truly sustainable partnership. Both nations are currently facing socio-economic problems like rising inflation, regional imbalances, income inequalities, poverty and unemployment. Though the individual governments of India and Russia are implementing welfare measures to solve these problems and are cooperating in the fields of science and technology, still there are limitations. This paper tries to understand the gaps in India-Russia collaboration in the field of science and technology and analyzes how the cooperation in this field could enhance the promotion of human development vis-à-vis societal development. The paper uses qualitative research methodology based on secondary data like bilateral agreements, policy documents, government reports amongst others. The aim of the paper is to find out how science and technological cooperation could bring positive changes in the improvement of education, health, employment and overall living standards of the people in both nations. The major finding of the paper is that though both the nations have developed treaties of cooperation in the field of Science and Technology in past years, there is a need to deepen these ties and extend them to societal growth and development. The paper concludes that Science and Technology can bring revolutionary changes in societal development through proper mapping of scientific collaboration, technological innovation and sharing of knowledge to each parameter of societal development including social equity and inclusion. In other words, both the nations should emphasize the direct impact of their research and industrial partnership on overall well-being of their populations, the economic growth and improvement of quality of life and happiness of their citizens

Generative AI Adoption and Self-Reported Academic Integrity Risk: A Student Taxonomy in Latin American Higher Education

Generative Artificial Intelligence (GenAI) is reshaping technology-mediated learning environments in higher education, yet the structural heterogeneity of student adoption patterns—particularly across multimodal dimensions beyond text—remains empirically under-characterized. This study develops an empirically derived, data-driven taxonomy of GenAI adoption among university students, identifying distinct user profiles and their disciplinary and ethical risk implications. A quantitative, cross-sectional design was employed with a disciplinarily quota-balanced sample of 3415 students from eight Ecuadorian public universities, stratified across seven areas of knowledge according to the UNESCO classification. K-means cluster analysis on five continuous multimodal variables (text generation, mathematical problem-solving, programming, image generation, and music generation) yielded four distinct profiles: Passive (44.3%), Artist (24.4%), Technical (18.3%), and Comprehensive (13%). Profile membership showed a significant structural association with academic discipline (χ2 = 517.85; Cramér’s V = 0.225). Profiles differed substantially in their self-reported propensity for intellectual delegation to AI systems, with the Comprehensive profile reporting the highest levels (η2 = 0.114, 95% CI [0.092, 0.139]). These findings suggest that ethical risk in AI-mediated academic environments is not uniformly distributed but structurally associated with whether outputs are verifiable or directly presentable, with implications for differentiated AI literacy programs and institutional governance frameworks in higher education.

The Question's Ear: A Narrative Review of SETI from Cocconi and Morrison's Nature Letter to the Haystack's Measurement

SETI---the search for extraterrestrial intelligence whose instrument is the radio telescope and whose subject is the universe's others---moved from Cocconi and Morrison's 1959 Nature letter and Drake's Project Ozma through Kardashev's civilizations, Dyson's spheres, the Cyclops blueprint, and Sagan and Drake's Scientific American to Tarter's review, Vakoch's communication, Siemion's Kepler survey, Wright's WISE search and haystack, and Frank and Sullivan's empirical constraint. This article presents a narrative review of that arc's canonical line: Cocconi and Morrison's 1959 searching, Dyson's 1960 artificial sources, Drake's 1961 Project Ozma, Kardashev's 1964 transmissions, Oliver and Billingham's 1973 Project Cyclops, Sagan and Drake's 1975 Scientific American, Tarter's 2001 Annual Review, Vakoch's 2011 communication volume, Siemion and colleagues's 2013 Kepler survey, Wright and colleagues's 2016 large energy supplies, Frank and Sullivan's 2016 empirical constraint, and Wright and colleagues's 2018 haystack. The review is organized around three themes: the question's scientific founding, in which the Nature letter's frequency, the Ozma's listening, the civilizations's types, and the spheres's infrareds made the question scientific; the programs' blueprints, in which the Cyclops's design, the Scientific American's summary, and the review's systematization built the field's plans; and the modern searches, in which the communication's, the Kepler's narrowbands, the large energy's supplies, the empirical's constraint, and the haystack's measurement carried the search into the twenty-first century's scales. It is concluded that SETI is the universe's longest question---and that its arc is the listening's persistence from the one-star's wager to the multi-million's stars.

Role of Technology and Digital Claim System in Speeding Up the Compensation Process in Motor Vehicle Accident Cases

Abstract Getting timely financial compensation for road accident victims and their families is a matter of utmost humanitarian and legal importance. Traditionally, the compensation process through Motor Vehicle Accident Claims Tribunals (MACT) and insurance companies in many countries, including India, has been very complex, paper-based and time-consuming. However, in the modern era, the advent of technologies like Artificial Intelligence (AI), telematics, GPS, online portals and digital interoperable databases has brought a major revolution in this field. This research article examines in detail the role of technology in the process of motor accident claims, from filing to final settlement and payment. The study shows how digital platforms like e-DAR (e-Detailed Accident Report), through direct digital connectivity between police, hospitals, insurance companies and the judiciary, can reduce the time to compensation from years to months or weeks.