bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimates of genetic variability and interplay of germination and seedling traits conferring salinity tolerance in rice (Oryza sativa L.)
Authors: Ajayi Abiola , Osekita Oluwatoyin , Oladipo Oloruntoba , Akinola Joshua
Published: December 2024

This study estimates genetic variability and correlations among germination and seedling traits conferring salinity tolerance in rice accessions. Five rice accessions were screened under salinity levels of 0, 50, 100, and 200 mM NaCl in a controlled laboratory setting. Traits such as germination energy, capacity, shoot and root length, and biomass were measured. Data were analyzed for variance and correlations to assess variability and trait relationships. Significant genetic variability was found among accessions for all traits. Germination energy showed the highest coefficient of variation (CV) at 22.29% under control conditions, while fresh shoot weight had the highest CV (34.35%) under 200 mM salinity. Accessions ACC2 and ACC5 consistently demonstrated higher performance in germination energy (23.33 to 53.33% and 10.00 to 41.67%), germination capacity (40.00 to 60.00% and 28.33 to 46.67%), and shoot length (0.67 to 2.97 cm and 0.40 to 3.93 cm) under various salinity stress levels. ACC1, ACC3, and ACC4 showed more variability but maintained some consistency in specific traits, with ACC4 generally showing lower performance across most traits. Genetic parameter estimates indicated high heritability (˃60%) for all traits, with the highest in germination capacity (96.88%). High genetic advance (GAM) was observed for all traits (˃20%), with germination energy showing the highest (107.00%). Traits with high heritability and genetic advance, such as germination energy, germination capacity, and root length, suggest strong genetic control and potential for improvement through selective breeding. Significant correlations were found between germination energy and capacity (r= 0.89 to 0.96) and between shoot length and leaf length (r= 0.92) under stress conditions. Stress tolerance indices identified accessions ACC2 and ACC5 as the most tolerant, with ACC1 showing consistent performance across traits. This study underscores the importance of identifying resilient traits and accessions to enhance salinity tolerance in rice, contributing to improved productivity in saline-affected regions.
Application of Functional Variable Method for Heisenberg Ferromagnetic Spin Chain Equation
Authors: Tozar Ali , Taşbozan Orkun , Kurt Ali
Published: December 2024

The Heisenberg spin chain concept is a fundamental and generic model that describes the exotic magnetic behavior of certain materials, such as ferromagnetism, antiferromagnetism, and ferrimagnetism under critical temperatures. The concept of spin chain is based on Coulomb interactions due to Pauli exclusion principle rather than dipole-dipole interactions in explaining the high energy observed in the Weiss molecular field. With certain improvements to the Hamiltonian proposed by Heisenberg, the model has became more sophisticated and used successfully in explaining many of the physical phenomena observed experimentally. This model has been extensively studied by physicists since the emergence of quantum physics at the beginning of the 20th century. Due to nonlinear interactions inherent in the model, soliton solutions that can be obtained have attached the attention of mathematicians, in recent decades. In this study, triangular soliton, bell shaped solitary wave and kink shaped solitary wave solutions were obtained by applying the functional variable method to the nonlinear Heisenberg spin chain equation for a cubic lattice crystal.
Valor de uma vida estatística: uma revisão da literatura empírica para o Brasil
Authors: Stivali Matheus
Published: December 2024

Este trabalho produz uma síntese das estimativas encontradas na literatura para o valor de uma vida estatística (VVE) para o Brasil. São apresentados o conceito de valor de uma vida estatística e a sua fundamentação teórica, assim como as possibilidades de estimação desse parâmetro (preferência revelada, preferência declarada e transferência de benefícios). A busca na literatura foi baseada em palavras-chave e códigos de classificação do Journal of Economic Literature (JEL), com os critérios de identificação, triagem, elegibilidade e inclusão documentados no trabalho. Foram incluídos dez trabalhos com estimativas do VVE, totalizando trinta estimativas para esse parâmetro, que foram corrigidas para valores de reais de janeiro de 2022. Após a identificação dessas estimativas, técnicas de meta-análise foram utilizadas para sintetizá-las considerando o subconjunto desses trabalhos com informações suficientes para tanto (dezenove estimativas). Para avaliar a robustez do resultado da meta-análise, foram realizados exercícios de transferência de benefícios a partir do VVE definido por agências governamentais de outros países.
Appropriation of analytics data in public relations practice in South Africa
Authors: Makwambeni Blessing
Published: December 2024

Advances in technology allow organisations to collect and analyse huge volumes of data from a wide variety of sources. Analytics data (raw data to be analysed) gleaned from internal and external sources is transforming the world of business and also the public relations (PR) profession by informing decision-making. Despite the potential that analytics data holds for PR, few studies have examined how analytics data is being appropriated into PR functions. Premised on the excellence theory of PR, the concept of technological appropriation, and in-depth interviews with purposively selected PR practitioners, this study investigated how PR practitioners in South Africa are harnessing analytics data to enhance decision-making. The findings of the study confirm that PR practitioners are appropriating analytics data to enhance their practice. However, the appropriation of analytics data is still confined to the technical and managerial functions with little evidence suggesting that practitioners are harnessing analytics data to inform the PR strategist function. The findings suggest extending insights gleaned from analytics data to the PR strategist function for the profession to add more value to organisations.
The Impact of Observing Cadence and Undetected Companions on the Accuracy of Planet Mass Measurements from Radial Velocity Monitoring
Authors: Akana Murphy Joseph M. , Luque Rafael , Batalha Natalie M.
Published: December 2024

We conduct experiments on both real and synthetic radial velocity (RV) data to quantify the impact that observing cadence, the number of RV observations, and undetected companions all have on the accuracy of small planet mass measurements. We run resampling experiments on four systems with small transiting planets and substantial public data from the High Resolution Echelle Spectrometer in order to explore how degrading observing cadence and the number of RVs affects the planets’ mass measurement relative to a baseline value. From these experiments, we recommend that observers obtain 2–3 RVs per orbit of the innermost planet and acquire at minimum 40 RVs. Following these guidelines, we then conduct simulations using synthetic RVs to explore the impact of undetected companions and untreated red noise on the masses of planets with known orbits. While undetected companions generally do not bias the masses of known planets, in some cases, when coupled with an inadequate observing baseline, they can cause the mass of an inner transiting planet to be systematically overestimated on average.
The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis
Authors: Sanjaripour Sogol , Hemmati Shoubaneh , Mobasher Bahram , Canalizo Gabriela , Barish Barry C. , Shivaei Irene , Coil Alison L. , Chartab Nima , Jafariyazani Marziye , Reddy Naveen A. , Azadi Mojegan
Published: December 2024

The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. This study addresses this need by demonstrating some applications of manifold learning and dimensionality reduction techniques, specifically the self-organizing map (SOM), on the optical+near-infrared spectral energy distribution (SED) space of galaxies, with a focus on sample comparison, selection biases, and predictive power using a small subset. To this end, we utilize a large photometric sample from the five Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey fields and a subset with spectroscopic measurements from the KECK MOSDEF survey in two redshift bins at z ∼ 1.5 and z ∼ 2.2. We trained the SOM with the photometric data and mapped the spectroscopic data onto it as our study case. We found that MOSDEF targets do not cover all SED shapes existing in the SOM. Our findings reveal that active galactic nuclei within the MOSDEF sample are mapped onto the more massive regions of the SOM, confirming previous studies and known selection biases toward higher-mass, less dusty galaxies. Furthermore, SOMs were utilized to map measured spectroscopic features, examining the relationship between metallicity variations and galaxy mass. Our analysis confirmed that more massive galaxies exhibit lower [O iii]/Hβ and [O iii]/[O ii] ratios and higher Hα/Hβ ratios, consistent with the known mass–metallicity relation. These findings highlight the effectiveness of SOMs in analyzing and visualizing complex, multidimensional data sets, emphasizing their potential in data-driven astronomical studies.
Making the Invisible Visible: Magnetic Fields in Accretion Flows Revealed by X-Ray Polarization
Authors: Barnier Samuel , Done Chris
Published: December 2024

Large-scale, strong magnetic fields are often evoked in black hole accretion flows, for jet launching in the low/hard state and to circumvent the thermal instability in the high/soft state. Here, we show how these ideas are strongly challenged by X-ray polarization measurements from the Imaging X-ray Polarimetry Explorer (IXPE). Quite general arguments show that equipartition large-scale fields in the accretion flow should be of order 106–8 G. These produce substantial Faraday rotation and/or depolarization. Since IXPE observes polarization in both spectral states, this sets upper limits to coherent large-scale (vertical, radial, or azimuthal) magnetic fields in the photosphere of B ≲ 5 × 106 G. While we stress that Faraday rotation should be calculated for each individual simulation (density, field geometry, and emissivity), it seems most likely that there are no equipartition-strength large-scale ordered fields inside the photosphere of the X-ray-emitting gas. Strong poloidal fields can still power a Blandford–Znajek jet in the low/hard state if they thread the black hole horizon rather than the X-ray-emitting flow, but this could also be challenged by (lack of) depolarization from vacuum birefringence. Instead, an alternative solution is that the low/hard state jet is dominated by pairs, so can be accelerated by lower fields. Strong toroidal fields could still stabilize the disk in the high/soft state if they are buried beneath the photosphere, though this seems unlikely due to magnetic buoyancy. Fundamentally, polarization data from IXPE mean that magnetic fields in black hole accretion flows are no longer invisible and unconstrained.
Multizone Modeling of Black Hole Accretion and Feedback in 3D GRMHD: Bridging Vast Spatial and Temporal Scales
Authors: Cho 조 Hyerin 혜린 , Prather Ben S. , Su Kung-Yi , Narayan Ramesh , Natarajan Priyamvada
Published: December 2024

Simulating accretion and feedback from the horizon scale of supermassive black holes (SMBHs) out to galactic scales is challenging because of the vast range of scales involved. Elaborating on H. Cho et al., we describe and test a “multizone” technique, which is designed to tackle this difficult problem in three-dimensional general relativistic magnetohydrodynamic (GRMHD) simulations. While short-timescale variability should be interpreted with caution, the method is demonstrated to be well-suited for finding dynamical steady states over a wide dynamic range. We simulate accretion on a nonspinning SMBH (a
* = 0) using initial conditions and the external galactic potential from a large-scale galaxy simulation and achieve a steady state over eight decades in radius. As found in H. Cho et al., the density scales with radius as ρ ∝ r
−1 inside the Bondi radius R

B
, which is located at R

B
= 2 × 105
r

g
(≈60 pc for M87), where r

g
is the gravitational radius of the SMBH; the plasma-β is ∼ unity, indicating an extended magnetically arrested state; the mass accretion rate

M

̇

is ≈1% of the analytical Bondi accretion rate

M

̇

B

;

and there is continuous energy feedback out to ≈100R

B
(or beyond > kpc) at a rate

≈
0.02

M

̇

c

2

. Surprisingly, no ordered rotation in the external medium survives as the magnetized gas flows to smaller radii, and the final steady solution is very similar to when the exterior has no rotation. Using the multizone method, we simulate GRMHD accretion over a wide range of Bondi radii, R

B
∼ 102−107
r
g, and find that

M

̇

/

M

̇

B

≈

(

R

B

/

6

r

g

)

−
0.5

.
Separable detecting arrays
Authors: Shi Ce , Tsuchiya Tatsuhiro , Wang Chengmin
Published: December 2024

This paper aimed to address the issue of potential noise or measurement errors in component-based systems by utilizing separable detecting arrays (SDAs) to identify interaction faults and assess whether the number of faulty interactions exceeded a predefined threshold. In this paper, we established a comprehensive lower bound on the size of SDAs and explored an equivalence between optimum SDAs and orthogonal arrays with specific properties. By leveraging this equivalence, numerous optimum SDAs were derived from known results of orthogonal arrays. Additionally, optimum SDAs constructed from difference matrices (DMs) possessing the 'super-simple' property were presented. Several infinite classes of such DMs were provided. Specifically, the existence of super-simple DMs with four rows was fully determined. Our study's findings offer practical implications for improving the reliability and accuracy of fault detection in component-based systems.
En manos de otros: fenomenología de la vulnerabilidad
Authors: Vieira Ignacio
Published: December 2024

El presente artículo aborda la vulnerabilidad como condición de la existencia humana. Esto significará que la vulnerabilidad no debe ser pensada como una caracterización accidental del existir, sino como una dimensión constitutiva del mismo. Sin embargo, la vulnerabilidad se nos revelará, además de como constitutiva, como constituyente de la existencia. Es decir: la subjetividad es siempre deudora de la alteridad en la constitución de sí misma. Pensar la vulnerabilidad implicará tomar en consideración tres cuestiones fundamentales: la afectabilidad —cómo la aperturidad del existir es de carácter afectivo o afectante—, la relacionabilidad —cómo la subjetividad se constituye a partir o a través de las relaciones que mantiene con la alteridad— y la responsabilidad. La co-implicación de estos tres conceptos nos permitá pensar la vulnerabilidad en términos de sostenibilidad. Nuestra aproximación será eminentemente fenomenológica (Levinas, Housset, Barbaras…), aunque también jugarán un papel fundamental conceptos propios del pensamiento de género contemporáneo (Butler, Cavarero). Al respecto, será especialmente interesante la noción de una «ontología relacional» (Butler). Todas estas reflexiones nos servirán para pensar la vulnerabilidad como dimensión constitutiva y constituyente del existir frente a concepciones de la subjetividad típicamente modernas y neoliberales caracterizadas por el individualismo y la autosuficiencia.
Origen y uso de la palabra deporte como traducción de sport: un conflicto ideológico
Authors: Torrebadella-Flix Xavier , Nomdedeu-Rull Antoni
Published: December 2024

El objetivo de este artículo es explicar el origen y uso del término deporte como traducción de sport. Los datos publicados hasta el momento sobre la recuperación de la voz en español para referirse a actividades como carreras de caballos, esgrima, fútbol, entre otras, deben ser reinterpretados gracias a la documentación de nuevas fuentes documentales. Para ello, se aportan fuentes inéditas que permiten sostener una interpretación más analítica de dichas palabras en español en el campo de la historia del deporte contemporáneo. Se resuelve que Federico Huesca es el artífice de la recuperación de la palabra deporte en el sentido en inglés en su Diccionario hípico y del sport de 1881 y no Mariano de Cávia, como así se ha señalado en estudios anteriores. Esta documentación se acompaña de una discusión sobre los modelos educativos y culturales existentes entre Inglaterra y España, en donde aparecen dos posiciones antagonistas de atender el llamado «problema de España», recuperado y renovado a partir de la crisis de finales del siglo XIX y comienzos del XX.
Eugénisme au Japon
Authors: Konuma Isabelle
Published: December 2024

C’est à partir de 1868, au début de l’ère Meiji, que le Japon s’empare réellement des questions de santé publique. Face à la nécessité de structurer le corps médical, les différents gouvernements tentent d’établir un système de santé comparable à celui des puissances occidentales. À cette époque, les concepts eugénistes du britannique Francis Galton se diffusent progressivement dans les milieux scientifiques et intellectuels japonais, et vont fortement influencer les politiques mises en place notamment pour encadrer les pratiques abortives, jusqu’à aboutir, en 1948, à la promulgation de la loi relative à la protection eugénique. Loin de se cantonner au pouvoir, le mouvement eugéniste japonais devient un étendard qui rassemble des hommes et des femmes aux parcours divers (généticiens, féministes, politiciens, etc.), tous unis par une même volonté : celle d’« améliorer la race japonaise » et d’en assurer sa pérennité. Ainsi, après la guerre, cette politique fut renforcée et étendue, à l’aide par exemple du planning familial, dans le but de reconstruire le pays. Ce n’est qu’à partir des années 1990 qu’un réveil progressif se fait jour et que les pratiques eugénistes sont remises en question. L’ouvrage d’Isabelle Konuma explore ces politiques eugénistes et la législation singulière qui en découla, marquée par des périodes de restriction des naissances et des périodes d’incitation à la procréation. Il décrit en détails cet eugénisme protéiforme, modelé par des problématiques vernaculaires, et apporte un éclairage indispensable sur cette histoire peu connue.
Tra studi letterari e Media Studies: autori, lettori e personaggi
Authors: Benvenuti Giuliana
Published: December 2024

L’articolo evidenzia l’utilità degli strumenti metodologici forniti dai Media Studies per studiare la letteratura italiana nel contesto del mercato globalizzato e del sistema mediatico contemporaneo. In particolare, si concentra su come un approccio “etnografico” incentrato sul comportamento dei lettori, intesi come fan di un determinato titolo letterario, possa essere proficuo in un panorama caratterizzato dalla sostituzione dei tradizionali corpi intermedi (critica, accademia, editoria) con piattaforme digitali aperte ai contributi del grande pubblico e basate su un’apparente disintermediazione. Infatti, mentre le piattaforme di self-publishing tendono a far incontrare autori e lettori, il discorso grassroots sui social network legati al libro (BookTok, BookTube, Bookstagram, ecc.) può non soltanto determinare il successo o meno di un titolo, ma anche condizionare l’evoluzione di elementi narrativi chiave come i personaggi nel contesto dello sviluppo seriale o dell’espansione transmediale.
Preposterous Preservation. Postmodern Paradoxes
Authors: Frankenberg Pablo von
Published: December 2024

The preservation of postmodern listed buildings presents a paradox: how can we maintain structures designed for a transient existence using the rigorous standards of historical monument protection? This challenge is exemplified by Berlin’s circulation tank, the UT2, which serves as a case study in navigating the complexities of conserving non-durable materials. The refurbishment of the UT2 highlights the need to redefine concepts of authenticity and originality in the context of “young” monuments. While the application of traditional preservation methods may seem appropriate, it often overlooks the architect’s intentions and the unique characteristics of postmodern design. The UT2 invites us to reconsider our approaches to heritage conservation, suggesting that embracing the tensions between new and old in both building materials and conservation approaches may offer new pathways for preserving architectural heritage.
Les espaces de l’utopie
Authors: Coste Thomas
Published: December 2024

Entre les années 1890 et 1930, une cinquantaine de communautés anarchistes ou naturistes ont vu le jour en Europe occidentale. Si ces expériences ont été étudiées localement, aucune recherche ne s’est véritablement intéressée à l’aspect global et transnational de ce phénomène. En examinant comparativement trois de ces projets au début de la période – Eden (Allemagne : 1893), la colonie de Purleigh (Royaume-Uni : 1896-1901) et le milieu libre de Vaux (France : 1903-1907) – cet article s’engage à combler ce manque. Ces utopies s’établissent ainsi à partir d’une critique de la modernité capitaliste matérialisée par le développement du salariat, des villes et des techniques. Elles sont les lieux d’expérimentation de nouvelles manières de vivre visant à transformer les individus et la société. Ces communautés apparaissent alors comme une des manifestations d’un mouvement de contre-culture naissant au tournant du xxe siècle qui trouve sa source dans les propositions politiques naturistes et anarchistes.
Se filmer au bloc opératoire pour construire sa vision professionnelle
Authors: Haïk-Wagner Nicolas El
Published: December 2024

La médiation visuelle du champ opératoire s’est imposée avec l’avènement de la chirurgie mini-invasive puis robotique. Des dispositifs de prise de vue du déroulement de l’opération à des fins de formation viennent désormais la redoubler. Cet article documente un projet conduit dans un service de chirurgie de la main et du poignet d’un centre hospitalier universitaire du Grand Est, où la captation vidéo systématique du champ opératoire a été entreprise afin d’améliorer la courbe d’apprentissage des entrant·e·s dans le métier. Cette captation intrusive constitue une épreuve pour les chirurgien·ne·s, qui doivent faire face à une matérialité nouvelle des preuves sur lesquelles s’appuient les jugements de leurs pairs. Ces vidéos favorisent aussi la transmission d’une vision professionnelle, dans un processus où repérage des prises et plaisir esthétique du faire sont étroitement liés. Dans un contexte de standardisation accrue des pratiques et de pressions régulatrices externes s’exerçant sur la profession, le recours à ces artefacts participe d’une réinvention de l’auto-régulation professionnelle qui fixe les normes et les usages de l’image.
Vivre en écolieu, vivre en collectif à la campagne : faire dans, faire avec, faire pour un territoire ?
Authors: de Chevron Villette Gabrielle , Pouzenc Michaël
Published: December 2024

Cet article porte sur les lieux de vie collectifs, écologiques et alternatifs – ou écolieux – en tant qu’espaces de déploiement du faire autrement. Deux études de cas permettent de voir comment les habitants et habitantes de ces lieux de vie instaurent des espaces-temps particuliers et concilient une recherche d’autonomie avec un nécessaire ancrage dans un territoire d’implantation. L’analyse des manières de faire éclaire ainsi trois modalités d’ancrage territorial des écolieux : faire dans répond à la question « où », amenant à préciser quelles activités sont faites à quel endroit et pour quels motifs, faire avec pose la question des différentes ressources et des réseaux mobilisés dans un territoire, faire pour interroge la capacité des acteurs à prendre en compte l’impact de leurs actions sur le territoire.
Empowering Educators in the Era of Next-Generation AI
Authors: Yingsoon Goh Ying , Zhang Suyan , Chua Nurul Ain
Published: December 2024

This chapter examines the transformative role of next-generation artificial intelligence (AI) in education, reshaping traditional learning environments and challenging educators to redefine their professional roles. This chapter discusses how AI enhances educational practices by enabling personalized instruction, supporting data-driven decision-making, and streamlining classroom management, thus improving the efficiency and effectiveness of teaching. The chapter also addresses the pedagogical shifts, ongoing professional development, and ethical considerations necessary for educators to integrate AI into the classroom successfully. By offering strategies for AI integration and highlighting the vital role of teachers in this evolving educational landscape, this chapter seeks to equip educators with the tools and insights to confidently and innovatively embrace the future of teaching.
Blended Education and the Role of Albanian Teachers in an AI-Enhanced Educational Landscape
Authors: Lamçja Dhurata , Pellumbi Salvina
Published: December 2024

The COVID-19 crisis disrupted traditional in-school teaching, highlighting both the potential and challenges of distance learning. The abrupt transition exposed the unpreparedness of many teachers and students, emphasizing the need for alternative, technology-supported methodologies. This chapter investigates blended education as an innovative approach integrating classroom and online learning to enhance teaching effectiveness. Through a theoretical examination of blended education and a survey of middle school teachers in Albania, this study evaluates teachers' familiarity with and use of blended learning methods. Data collected from 212 educational stakeholders provide insights into the current state of ICT-supported teaching in Albania. The findings suggest that, while blended learning holds promise for improving educational outcomes, Albanian teachers require further training, and substantial upgrades in ICT infrastructure are necessary to implement this approach in schools fully.
Infrastructure and Investment Needs for AI Implementation in Education
Authors: Sayari Karima Toumi
Published: December 2024

This chapter explores the critical infrastructure and investment frameworks required for successfully integrating artificial intelligence (AI) in educational settings. This chapter explores the investment patterns and financial considerations essential for establishing the physical, human, and technological infrastructure across various educational levels. The analysis reveals notable infrastructure gaps and identifies the investment needed to support digital education through AI. Key areas discussed include the scalability of AI solutions, personnel training requirements, technological readiness, and long-term funding needs. Additionally, the chapter highlights disparities in infrastructural preparedness between urban and rural schools and across developed and developing countries. To promote equitable access and sustainable AI adoption, this chapter offers evidence-based recommendations for investors, educational administrators, and policymakers on optimizing resource allocation.
AI-Driven Curriculum Design and Course Management
Authors: Asrifan Andi , Susanto Ashabul Kahfi , Elpisah Elpisah , Saodi Syamsuardi , Herlina Herlina
Published: December 2024

This chapter explores the transformative impact of artificial intelligence (AI) on curriculum design and course management in education. AI-driven systems enable instructors to tailor learning experiences to students' individual needs, learning styles, and progress, enhancing engagement and support through real-time feedback, intelligent tutoring, and data-driven assessments. By automating administrative tasks like grading and scheduling, AI allows teachers to devote more time to instruction and mentoring. However, integrating AI in education raises ethical considerations, particularly regarding data privacy, security, and algorithmic bias. This chapter emphasizes the importance of transparent data practices to protect student information and ensure fairness in AI applications. While AI enhances educational processes, it cannot replace the guidance, empathy, and critical thinking skills that human educators bring. Ultimately, AI complements human instruction, creating a more inclusive, efficient, and adaptable learning environment for all students.
Short Digital Storytelling
Authors: Sen Subhasis , Sen Indrani
Published: December 2024

This chapter explores the innovative use of digital storytelling as an AI-enhanced teaching strategy to engage learners and foster a deeper willingness to learn. Digital storytelling, the art of creating online narratives for social media, combines visual elements and storytelling techniques to captivate and motivate students. By developing a collection of twenty digitally accessible moral stories, paired with original artwork, the authors demonstrate how AI can be leveraged to create engaging and meaningful educational content. The chapter examines how stories rooted in real-life experiences can teach valuable lessons, integrating AI to adapt content for dynamic learning environments. Furthermore, AI in education aids academic decision-making across course development, pedagogical design, and institutional transformation. Through AI-based digital storytelling, this approach benefits instructors, learners, and administrators alike, presenting new opportunities for growth and innovation in higher education.
Integrating Artificial Intelligence in Media Education
Authors: Jha Amaresh , Singh Sanjeev Ratna
Published: December 2024

The emergence of Artificial Intelligence (AI) offers transformative possibilities for media education, particularly as traditional teaching methods struggle to keep pace with the rapidly evolving digital media landscape. This chapter examines the potential of AI to enrich media education by enabling personalized learning experiences, fostering creativity and innovation, and enhancing critical thinking and media literacy. Using a qualitative research approach that includes a literature review, expert interviews, and case studies, this chapter identifies the primary applications of AI in media education, evaluates its impact on student learning, addresses ethical considerations, and provides practical recommendations for effective AI integration. By understanding both the opportunities and challenges of AI in media education, we can better equip students to meet the complex demands of the digital age.
Using Risk-Free Artificial Intelligence in the Classroom
Authors: Nandi Ankur , Das Tapash , Halder Tarini , Karmakar Santu
Published: December 2024

This chapter examines professors' perspectives on using risk-free artificial intelligence (AI) in higher education classrooms, focusing on the perceived benefits, challenges, and ethical considerations surrounding AI implementation. Researchers gathered insights into professors' experiences and viewpoints on integrating AI into educational settings through a qualitative study using a survey method, semi-structured interviews, and questionnaires. The findings reveal that while AI offers substantial opportunities for enhancing teaching and learning, it also brings notable challenges and ethical concerns. Based on these insights, the chapter recommends best practices to ensure the responsible and effective use of AI tools in higher education.
The Revolutionary Biocomputing Technology of Organoid Intelligence (OI) as the Forefront of AI and Medicine
Authors: Wadan Al-Hassan Soliman
Published: December 2024

Recent advancements in human stem cell-derived brain organoids have the potential to replicate critical molecular and cellular aspects of learning, memory, and cognition in vitro. The term “organoid intelligence” (OI) is proposed to encapsulate these advancements, aiming to establish a multidisciplinary field dedicated to OI. Researchers can now manufacture standardized, 3D myelinated brain organoids with heightened cell density, increased levels of glial cells, and gene expression essential for learning. Advanced 3D microelectrode arrays allow precise spatiotemporal electrophysiological signaling and recording. This lets scientists study the molecular processes that make learning and memory possible. Emerging technologies enable innovative biocomputing models through stimulus-response training and organoid-computer interfaces. The vision involves networked interfaces where brain organoids interface with real-world sensors and output devices, and eventually with sensory organ organoids.
Review About the Application of Explainable Machine Learning for Early Detection and Diagnosis of Liver Diseases
Authors: Ali Ayman A. , Ashraf Ahmed , Rahouma Kamel H.
Published: December 2024

This chapter explores integrating XML techniques into early detection of Fatty Liver Disease (FLD) and Hepatitis B Virus (HBV) infections. We analyze contemporary XML methods (SHAP, LIME, Anchors) to improve interpretability of complex machine learning models in medical diagnostics. Our review emphasizes embedding explainability for accurate diagnoses, clinician trust, and improved patient outcomes. XML demystifies “black box” models, aligning insights with medical knowledge. We further explore the impact of XML on healthcare adoption and reliable diagnostic tool development. This chapter lays the groundwork for future research on model generalizability, ethics, and real-time integration. Adopting explainable models for liver disease diagnosis is crucial, and continuous innovation in XML techniques will meet evolving healthcare demands.
A Role for Many Lifetimes
Authors: Sumerfield Sandra Suzanne
Published: December 2024

Teachers are pivotal in fostering environments that support students' emotional and academic development. They work to create inclusive communities where deep thinking, dialogic discourse, and diverse perspectives thrive, enabling students to cultivate critical thinking skills essential for active citizenship. This approach encourages students to value diversity, share experiences, learn from one another, and develop empathy and understanding. Students can enhance their agency by using carefully selected children's literature and evolve into thoughtful citizens capable of contributing to more equitable and just societies.
The Urgent Need for Caring Pedagogy in Higher Education
Authors: Collins Amy E.
Published: December 2024

In the wake of the COVID-19 pandemic, college students are encountering significant and unprecedented learning challenges. Learning lost, learning missed, social isolation, and an inability to fulfill basic needs have resulted in impacts to the cognitive, affective, and social dimensions of learning. This new context for higher education demands innovative and thoughtful approaches to teaching. In this chapter, the author makes the case for caring pedagogy as an imperative in the context of this new normal in higher education. The chapter includes suggestions for possible teaching strategies to help students navigate these new challenges.
Translanguaging in an Undergraduate Course
Authors: Oosting Jan
Published: December 2024

Translanguaging, a dynamic pedagogical approach that utilizes students' full linguistic repertoires, offers significant benefits. This method enhances learning by letting students engage with their dominant language and the language of instruction, improving comprehension, increasing classroom participation, and developing cultural competence. The use of multilingual reflections as part of this approach helps bridge linguistic gaps and fosters a more inclusive learning environment. While translanguaging validates the linguistic identities of students and enriches their educational experience, challenges such as establishing clear assessment standards, equipping instructors to manage a multilingual classroom effectively, and ensuring the availability of adequate resources must be addressed. Overall, translanguaging can significantly contribute to coursework, suggesting a promising direction for curriculum enhancement and increasing the caring classroom environment.
ADHD and the Learning of English in Primary Education
Authors: Conesa Isabel María García
Published: December 2024

Throughout this proposal, the readers will understand more clearly the reality of a child with attention deficit hyperactivity disorder (ADHD), as well as the different ways in which this disorder can present itself, and how to treat and teach a second language in Primary Education. Today, ADHD has been studied like any other disorder, and attempts have been made to translate its diagnosis into a medical framework that helps understand and treat individuals suffering from this syndrome. However, parents and teachers often do not know how to react when they encounter a real case. This causes both the child and their family environment to suffer before receiving the attention they need. The life of a child with ADHD without medical and specialised care is therefore a daily challenge: any activity, no matter how small or easy it may be, becomes an effort, as impulses must be controlled so that any other child is mastered at will. The objective of this chapter was to address this problem in primary education from an inclusive perspective
Harnessing Rhythmic Movement Intervention for Body Awareness and Social Interaction in Children With Special Needs
Authors: Roy Finita Glory
Published: December 2024

Rhythmic movement intervention (RMI) offers a revolutionary approach to addressing the challenges faced by children with special needs. Utilizing rhythmic activities such as music, dance, and structured movement, RMI enhances physical, cognitive, emotional, and social development. Grounded in theoretical frameworks like sensory integration theory and neurodevelopmental theory, RMI fosters body awareness, sensory processing, and social interaction. Research highlights its positive impact on proprioception, spatial awareness, motor skills, and emotional well-being. Future research directions include longitudinal studies, comparative research on different rhythmic activities, and targeted studies for specific subgroups. Overall, RMI serves as a beacon of hope, empowering children with special needs to navigate their journeys with confidence and adaptability, promising a brighter future where obstacles are transformed into opportunities.
Extending the BPS Model to Education
Authors: Ikeguchi Cecilia B.
Published: December 2024

Modern education has largely operated on the cognitive, turning a blind eye to the inextricable link between the biological, psychological, and social contexts of the individual learner in a manner that medical doctors in the past looked at patients mainly in terms of the physical body ignoring other possible influences. This chapter assumes that the model can provide good value in drawing up educational frameworks that keep students' learning growth at the center. Research related to BPS is reviewed before an attempt is made to integrate it into the current dynamics of education. Thereafter, the chapter describes the moral panic and dynamics of Japanese youth focusing on culture syndromes. A proposal is drawn to apply concepts allied to Biopsychosocial model to the education of youth belonging to the counter-culture whose values and norms of behavior differ substantially from those in mainstream society.
Emotional Burnout of Lecturers as a Manifestation of Stress and Methods of Confronting Them
Authors: Lebedeva Nadezhda Anatolievna , Pasko Olga Anatolivena
Published: December 2024

Emotional burnout of lecturers in the context of a digital one, when teaching a foreign language to students, is an actual scientific problem. Feelings of anxiety, exhaustion and apathy caused by a foreign language teacher spending too much time on digital devices can be referred to as “digital burnout”. In a globalized world, it is difficult to imagine education without technology. Technical tools are introduced daily and everywhere. Their positive impact on public life was especially displayed great in quarantine time. During the Covid 19 pandemic, which hit all spheres of human activity, a certain pedagogical experience was formed. The purpose of this chapter is a theoretical description of the foreign language tutor's burnout at the agricultural university. The purpose of this chapter is a theoretical description of the foreign language tutor's burnout at the university and methods of confronting the stress.
Lights, Camera, AI
Authors: Yadav Mohit , Mishra Dipandi , Jayarathne P. G. S. Amila
Published: December 2024

Artificial intelligence (AI) is rapidly transforming various industries, and filmmaking is no exception. This research paper explores the future trends and impacts of AI on filmmaking, drawing on insights from expert interviews with industry professionals. The analysis reveals a multifaceted picture, highlighting both the potential benefits and challenges associated with AI integration. AI tools hold promise for enhancing creativity by suggesting story ideas, streamlining workflows through casting and production automation, and optimizing budgets. However, ethical considerations arise regarding potential bias in AI algorithms and the homogenization of filmmaking if AI is overused. The paper concludes that AI serves as a powerful tool to empower human creativity, but human judgment and artistic vision will remain central to the filmmaking process. Responsible development and implementation of AI are crucial to ensure a future where AI complements, rather than replaces, the human touch in creating a vibrant and emotionally engaging cinematic landscape.
Artificial Intelligence in Screenplay
Authors: Sönmez Sevcan
Published: December 2024

Artificial intelligence (AI) is a field which is advancing rapidly. Its use has become increasingly prevalent in various industries, from robotics to communication. The purpose of this study is to explore the innovations that AI bring to the cinema industry, as well as to investigate the possibilities offered by current AI applications in cinema. Cinema is an industry and art form that can potentially utilize various AI capabilities, benefit from innovations in mass communication and creative technologies. This study examines scriptwriting process using ChatGPT. Designed as a case study, the research conducts scriptwriting experiments with ChatGPT based on given genre, themes, and keywords. The limitations of the research include the use of ChatGPT, with ten research attendees -Scriptwriting class students-, using specific prompts. The results of the study will provide insights into how artificial intelligence contributes to screenplay writing both currently and over time, revealing its shortcomings, benefits, conveniences, and potential areas for development.
Revolutionizing Malayalam Cinema
Authors: Menon Vishnu Achutha
Published: December 2024

This study examines how AI-powered scripting, particularly through ChatGPT, is changing Malayalam cinema. Interviews with 30 prominent scriptwriters provide insights into the integration of AI into the scripting process. The findings highlight ChatGPT's role as a collaborative tool, aiding in brainstorming, character development, and script refinement. The findings underscore ChatGPT's significant role as a collaborative partner, assisting scriptwriters in brainstorming ideas, developing complex characters, and refining scripts to enhance narrative coherence.
The Digital Transformation of Sound and Music Cinema Experience With AI
Authors: İnal Ufuk
Published: December 2024

Artificial intelligence (AI) technologies are revolutionising the cinema industry. AI, which offers significant innovations especially in sound production and editing, enriches the film atmosphere. Deep learning models produce realistic sound effects, reducing the need for manual foley and facilitating synchronisation. AI provides higher quality sound effects while saving cost and time in film production. The quality of dialogue and the naturalness of sound effects are also improved with AI. AI stands out as an important technology that will shape the future of sound in cinema.
Leveraging Personalized AI Recommendations to Enhance User Experience in Streaming Services (OTT Platform)
Authors: Dwivedi Dwijendra Nath , Mahanty Ghanashyama
Published: December 2024

Sophisticated recommendation systems are crucial in the dynamic digital content consumption environment to improve user engagement and content discoverability. This work provides an in-depth analysis of different recommendation models such as User-based Collaborative Filtering, NMF-based Content Filtering, and a Hybrid Model. It uses a detailed dataset of user interactions with a streaming platform to evaluate their performance.We utilized User-based Collaborative Filtering to utilize similarities among users for content recommendations, NMF-based Content Filtering to break down the user-item interaction matrix and reveal hidden features, and a Hybrid Model that combines the advantages of both methods to offer more tailored and precise recommendations. The results demonstrate the intricate strengths and weaknesss of each model, with the Hybrid Model displaying a favorable combination of customisation and accuracy. The findings from this work provide valuable contributions to the discussion on recommendation systems and also have practical implications for streaming platform
Genomic Biomarkers Discovery and Validation in Drug Development
Authors: Vaishnavi B.
Published: December 2024

The discovery and validation of genomic biomarkers are crucial for advancing drug development and personalized medicine. Genomic biomarkers, including DNA and RNA characteristics, help predict therapeutic responses, drug efficacy, and potential adverse effects, enabling precise treatment strategies. This chapter explores the identification and validation of genomic biomarkers, their role in drug development, and the high-throughput sequencing technologies and bioinformatics tools driving their discovery. It examines validation techniques, biomarker integration into drug design and clinical trials, and relevant regulatory frameworks. Through case studies, the chapter illustrates the transformative impact of genomic biomarkers on drug efficacy and patient safety, emphasizing the need to overcome technical, ethical, and legal challenges to optimize patient outcomes and advance medical science.
Global Perspectives on Pharmacogenomics and Drug Discovery
Authors: Rajakumari K. , Shri K. Kavinaya , Logesh R. , Meenambiga S. S. , Vivek P. , Romauld S. Ivo
Published: December 2024

Pharmacogenomics, the study of how genes influence an individual's response to drugs, is changing the scene of medication disclosure and improvement by joining pharmacology and genomics to make powerful, custom-made to an individual's hereditary profile. This arising field is vital in customized medication, where medicines are upgraded in light of individual hereditary varieties. This chapter offers an in-depth exploration of the global impact of pharmacogenomics, underscoring key examination foundations and undertakings, moral contemplations, difficulties and future headings. The joint efforts exhibit the capability of joint endeavor to defeat difficulties and advance the field by fitting worldwide guidelines and creating strategies that help even-handed admittance to pharmacogenomic progressions are significant for the worldwide reconciliation of customized medication.