bluuebunny/crossref_metadata_2025 huggingface dataset:
Unraveling the colonial invisible: Belgium’s war
patrimoine
and dermographic memory in Sammy Baloji’s
L’Autre mémorial
Authors: Matheron Aurélie
Published: November 2024

This article explores how
L’Autre mémorial
(2015), a copper sculpture by Congolese artist Sammy Baloji, challenges Belgian’s
patrimoine
surrounding World War I memory.
L’Autre mémorial
replicates the copper dome of the Sacré-Coeur de Cointe (Liège, Belgium), a
patrimoine
site built in 1936 as church and memorial for First World War Belgian soldiers. Embossing his sculpture with scarified copper plaques, Baloji honors the erased memory of Congolese soldiers coercively enrolled in the East African campaign (1914–1918) and recalls Belgium’s brutal exploitation of the Katanga copper mines in Congo. Exploring the symbolic and material uses of copper in
L’Autre mémorial
, I argue that this sculpture performs what I term dermographic memory, a method of inscribing erased decolonial histories back into extracted materials to process the violence that colonizers’ narratives have silenced. Adopting a decolonial approach to francophone memory studies in the wake of Etienne Achille and Pascal Blanchard, I explore how dermographic memory can become an aesthetic and methodological tool against what I call the
colonial invisible
, i.e. the ramifications of coloniality that are so ubiquitous that they are paradoxically overlooked. An examination of the materiality of
L’Autre mémorial
’s dermographic memory notably opens up discussions on the pervasive and invisible colonial nature of
digital
forms of
patrimoine
, which are sustained by copper too, and which allow the circulation of decolonial memories but also perpetuate global inequality.
Dystopie nationale et hétérotopie désertique: retrouver sa voix dans
2084: La fin du monde
de Boualem Sansal
Authors: Perret Arnaud
Published: November 2024

Dans
2084 : La fin du monde
(2015) de Boualem Sansal, les personnages sont sous l’emprise d’une théocratie totalitaire. Si un parallèle direct à
1984
de George Orwell a été étudié par la critique depuis la sortie du roman et si les prémices des deux œuvres sont similaires, la dystopie de
2084
présente l’inhospitalité de l’environnement de son protagoniste par le vide qui le caractérise. Le personnage principal, Ati, doit traverser non seulement un désert aussi physique qu’existentiel, mais aussi affronter une idéologie monolithique à la limite de l’incohérence : elle a effacé toute autre culture et a endoctriné l’individu au point d’une division sociale. La docilité des individus arrive au niveau extrême où ils adhèrent et se conforment au discours officiel. On découvre alors un anéantissement complet de toute forme de liberté. Cet essai montrera que dans cet univers désertique c’est cependant l’usage que le protagoniste fait de cette hétérotopie qui va lui permettre de comprendre le décalage qui existe entre une foi collective devenue aveugle, asservissement systématique au profit d’un usurpateur du pouvoir et la liberté individuelle oubliée. C’est ainsi grâce à un épanouissement fondé sur ce que Certeau nomme une “tactique” que le protagoniste pourra retrouver l’usage de la voix.
On Relative Tractor Bundles
Authors:   University of Vienna, Austria, Cap Andreas , Guo Zhangwen ,   University of Vienna, Austria, Wasilewicz Michal Andrzej ,   University of Vienna, Austria
Published: November 2024

This article contributes to the relative BGG-machinery for parabolic geometries. Starting from a relative tractor bundle, this machinery constructs a sequence of differential operators that are naturally associated to the geometry in question. In many situations of interest, it is known that this sequence provides a resolution of a sheaf that can locally be realized as a pullback from a local leaf space of a foliation that is naturally available in this situation. An explicit description of the latter sheaf was only available under much more restrictive assumptions. For any geometry which admits relative tractor bundles, we construct a large family of such bundles for which we obtain a simple, explicit description of the resolved sheaves under weak assumptions on the torsion of the geometry. In particular, we discuss the cases of Legendrean contact structures and of generalized path geometries, which are among the most important examples for which the relative BGG machinery is available. In both cases, we show that essentially all relative tractor bundles are obtained by our construction and our description of the resolved sheaves applies whenever the BGG sequence is a resolution.
The potential of craft industries based on Javanese ethnic culture and the local economy in Indonesia: perspectives of creativity
Authors: Avianto Bhakti Nur , Ulumuddin Ihya , Marjanto Damardjati Kun , Sudrajat Unggul , Atmadiredja Genardi
Published: November 2024

This paper aims to determine the extent to which the potential for developing craft industries based on Javanese ethnic culture can improve local economic development and help empower the local community. A qualitative method with case study research approach. Meanwhile, to measure the potential for growing craft industries based on Javanese ethnic culture, the SWOT (strengths, weaknesses, opportunities, threats) analysis–analytic hierarchy process is used by collecting primary data through group discussions while secondary data with questionnaires. Developing craft industries based on Javanese ethnic culture can contribute to local economic development by utilizing abundant human resources, adding concrete employment opportunities, facilitating licensing, maximizing the potential an open art market, and anticipating goods cheaper competition from foreign as well as the entry threatened free trade that would replace the existence of craft products based on Javanese ethnic culture. Efforts are carried out by business actors, manufacturing industry, and arts community to helping facilitate various promotional business opportunities. In addition, the government has made a policy direction for local economic development by balancing foreign and local players to deal with technological innovations and the rapidly changing character of the market.
Single Transit Detection in Kepler with Machine Learning and Onboard Spacecraft Diagnostics
Authors: Hansen Matthew T. , Dittmann Jason A.
Published: November 2024

Exoplanet discovery at long orbital periods requires reliably detecting individual transits without additional information about the system. Common techniques, like phase folding of light curves and periodogram analysis of radial velocity data, are more sensitive to planets with shorter orbital periods, leaving a dearth of planet discoveries at long periods. We present a novel technique using an ensemble of convolutional neural networks incorporating the onboard spacecraft diagnostics of Kepler to classify transits within a light curve. We create a pipeline to recover the location of individual transits, and the period of the orbiting planet, which possesses an accuracy of >80% in the long orbital period regime (50 ≤ P ≤ 800 days). Our neural network pipeline has the potential to discover additional planets in the Kepler data set, and crucially, within the η-Earth regime. We report our first candidate from this pipeline, KOI-1271.02. KOI-1271.01 is known to exhibit strong transit timing variations (TTVs), and so we jointly model the TTVs and transits of both transiting planets to constrain the orbital configuration and planetary parameters and conclude with a series of potential parameters for KOI-1271.02, as there are not enough data currently to uniquely constrain the system. We conclude that KOI-1271.02 has a radius of 5.32 ± 0.20 R
⊕ and most likely a mass of

28.94

−
0.47

0.23

M
⊕. Future constraints on the nature of KOI-1271.02 require measuring additional TTVs of KOI-1271.01 or observing a second transit of KOI-1271.02.
Transition Region Brightening in a Moss Region and Their Relation with Lower Atmospheric Dynamics
Authors: Ram Bhinva , Samanta Tanmoy , Chen Yajie , Sterling Alphonse C. , Joshi Jayant , Yurchyshyn Vasyl , Chitta Lakshmi Pradeep , Pant Vaibhav
Published: November 2024

Small-scale brightenings (SBs) are commonly observed in the transition region (TR) that separates the solar chromosphere from the corona. These brightenings, omnipresent in active region patches known as “moss” regions, could potentially contribute to the heating of active region plasma. In this study, we investigate the properties of SB events in a moss region and their associated chromospheric dynamics, which could provide insights into the underlying generation mechanisms of the SBs. We analyzed the data sets obtained by coordinated observations using the Interface Region Imaging Spectrograph and the Goode Solar Telescope at Big Bear Solar Observatory. We studied 131 SB events in our region of interest and found that 100 showed spatial and temporal matches with the dynamics observed in the chromospheric Hα images. Among these SBs, 98 of them were associated with spicules that are observed in Hα images. Furthermore, detailed analysis revealed that one intense SB event corresponded to an Ellerman bomb (EB), while another SB event consisted of several recurring brightenings caused by a stream of falling plasma. We observed that Hα far wings often showed flashes of strong brightening caused by the falling plasma, creating an Hα spectral profile similar to an EB. However, 31 of the 131 investigated SB events showed no noticeable spatial and temporal matches with any apparent features in Hα images. Our analysis indicated that the predominant TR SB events in moss regions are associated with chromospheric phenomena primarily caused by spicules. Most of these spicules display properties akin to dynamic fibrils.
Sun-as-a-Star Spectral Line Variability in the 300–2390 nm Wavelength Range
Authors: Marchenko Sergey V. , Ludewig Antje , Criscuoli Serena , Al Moulla Khaled , Choudhary Debi P. , DeLand Matthew T. , Kopp Greg , Loots Erwin , van der Plas Emiel , Veefkind Pepijn
Published: November 2024

Combining the near-daily Ozone Monitoring Instrument (OMI) and Tropospheric Monitoring Instrument (TROPOMI) measurements of solar spectra, we construct line indices (line-core to line-flanks ratios) for various transitions (mainly Fe i) in the 300–2390 nm spectral domain. The indices are supplemented by the wavelength-binned fluxes from OMI and Total and Spectral Solar Irradiance Sensor (TSIS-1). To study the short-term (solar-rotational) patterns, we normalize the indices and fluxes to the minimum-activity epoch, then de-trend them with 81 day running means. Comparisons of the de-trended TSIS-1 and OMI fluxes with the NASA-NOAA-LASP SSI (NNLSSI1) model show excellent agreement, to (0.5–2.2) × 10−4 in the normalized and de-trended data. The data are subjected to a multiregression analysis against quantities representing the facular brightening and the sunspot darkening. The de-trended line indices and average fluxes show different sensitivities to these two solar magnetic-activity manifestations, with the fluxes being far more susceptible to the sunspot component. The de-trended line indices experience a rapid drop of activity levels towards longer wavelengths, albeit with a large rebound in the short-wave infrared (SWIR) domain that is caused by the ubiquitous, temperature-sensitive CO transitions. The wavelength-dependent activity also falls, however much slower, in the de-trended average fluxes. Qualitatively similar behavior is captured by semiempirical models.
Efficient and Accurate Force Replay in Cosmological-baryonic Simulations
Authors: Arora Arpit , Sanderson Robyn , Regan Christopher , Garavito-Camargo Nicolás , Bregou Emily , Panithanpaisal Nondh , Wetzel Andrew , Cunningham Emily C. , Loebman Sarah R. , Dropulic Adriana , Shipp Nora
Published: November 2024

We construct time-evolving gravitational potential models for a Milky Way–mass galaxy from the FIRE-2 suite of cosmological-baryonic simulations using basis function expansions. These models capture the angular variation with spherical harmonics for the halo and azimuthal harmonics for the disk, and the radial or meridional plane variation with splines. We fit low-order expansions (four angular/harmonic terms) to the galaxy’s potential for each snapshot, spaced roughly 25 Myr apart, over the last 4 Gyr of its evolution, then extract the forces at discrete times and interpolate them between adjacent snapshots for forward orbit integration. Our method reconstructs the forces felt by simulation particles with high fidelity, with 95% of both stars and dark matter, outside of self-gravitating subhalos, exhibiting errors ≤4% in both the disk and the halo. Imposing symmetry on the model systematically increases these errors, particularly for disk particles, which show greater sensitivity to imposed symmetries. The majority of orbits recovered using the models exhibit positional errors ≤10% for 2–3 orbital periods, with higher errors for orbits that spend more time near the galactic center. Approximate integrals of motion are retrieved with high accuracy even with a larger potential sampling interval of 200 Myr. After 4 Gyr of integration, 43% and 70% of orbits have total energy and angular momentum errors within 10%, respectively. Consequently, there is higher reliability in orbital shape parameters such as pericenters and apocenters, with errors ∼10% even after multiple orbital periods. These techniques have diverse applications, including studying satellite disruption in cosmological contexts.
Constraining the Location of the γ-Ray Emission Region in Radio-loud AGN 3C 380
Authors: Gulati Sanna , Bhattacharya Debbijoy , Sreekumar P.
Published: November 2024

A detailed broadband spectral and temporal study of a radio-loud active galactic nucleus, 3C 380, is carried out using 14.5 yr of Fermi-LAT data, available Swift observations, and data from other observatories, including AstroSat (2020 August). The source exhibited a GeV outburst on 2020 September 5. Given the sparsity of Swift observations, no useful correlations could be established between γ-ray, X-ray, and UV/optical bands. The source is also a part of the Monitoring of Jets in Active Galactic Nuclei with VLBA Experiments survey and has been monitored at 15 GHz for over a decade. The correlation studies show that radio emission lags γ-rays by ∼150 days. We constrain the location of γ-ray emission by the core shift measurements from the literature and the observed time delays. Using this localization, we constructed and modeled the broadband spectral energy distribution (SED) of the source during its high γ-ray activity states and for the long-term averaged state. The SEDs during the high γ-ray activity states are modeled with two zones: one corresponding to the “steady” or the emission from the source averaged over more than a decade and another corresponding to the “flare” emission. We conclude that the high-energy emission originates within the parsec-scale jet, and moving shocks in the region drive the observed γ-flux variations.
Testable Predictions of Outside-in Age Gradients in Dwarf Galaxies of All Types
Authors: Riggs Claire L. , Brooks Alyson M. , Munshi Ferah , Christensen Charlotte R. , Cohen Roger E. , Quinn Thomas R. , Wadsley James
Published: November 2024

We use a sample of 73 simulated satellite and central dwarf galaxies spanning a stellar mass range of 105.3–109.1
M
⊙ to investigate the origin of their stellar age gradients. We find that dwarf galaxies often form their stars “inside-out,” i.e., the stars form at successively larger radii over time. However, the oldest stars get reshuffled beyond the star-forming radius by fluctuations in the gravitational potential well caused by stellar feedback (the same mechanisms that cause dwarfs to form dark matter cores). The result is that many dwarfs appear to have an “outside-in” age gradient at z = 0, with younger stellar populations more centrally concentrated. However, for the reshuffled galaxies with the most extended star formation, young stars can form out to the large radii to which the old stars have been reshuffled, erasing the age gradient. We find that major mergers do not play a significant role in setting the age gradients of dwarfs. We find similar age gradient trends in satellites and field dwarfs, suggesting that environment plays only a minor role, if any. Finally, we find that the age gradient trends are imprinted on the galaxies at later times, suggesting that the stellar reshuffling dominates after the galaxies have formed 50% of their stellar mass. The later reshuffling is at odds with results from the fire-2 simulations. Hence, age gradients offer a test of current star formation and feedback models that can be probed via observations of resolved stellar populations.
X-Ray Hardening Preceding the Onset of SGR 1935+2154's Radio Pulsar Phase
Authors: Wang Pei , Li Jian , Ji Long , Hou Xian , Gügercinoğlu Erbil , Li Di , Torres Diego F. , Chen Yutong , Niu Jiarui , Zhu Wei-Wei , Zhang Bing , Liang En-Wei , Zhang Li , Ge Mingyu , Dai Zigao , Lin Lin , Han Jinlin , Feng Yi , Niu Chenhui , Zhang Yongkun , Zhou Dejiang , Xu Heng , Zhang Chunfeng , Jiang Jinchen , Miao Chenchen , Yuan Mao , Wang Weiyang , Zhou Dengke , Fang Jianhua , Yue Youling , Wu Yunsheng , Wang Yabiao , Wang Chengjie , Gan Zhenye , Li Yuxi , Sun Zhongyi , Chi Mingmin , Zhang Junshuo , Cao Jinhuang , Lu Wanjin , Wang Yidan
Published: November 2024

Magnetars are neutron stars with extremely strong magnetic fields, frequently powering high-energy activity in X-rays. Pulsed radio emission following some X-ray outbursts has been detected, albeit its physical origin is unclear. It has long been speculated that the origin of magnetars’ radio signals is different from those from canonical pulsars, although convincing evidence is still lacking. Five months after magnetar SGR 1935+2154's X-ray outburst and its associated fast radio burst 20200428, a radio pulsar phase was discovered. Here we report the discovery of X-ray spectral hardening associated with the emergence of periodic radio pulsations from SGR 1935+2154 and a detailed analysis of the properties of the radio pulses. The observations suggest that radio emission originates from the outer magnetosphere of the magnetar, and the surface heating due to the bombardment of inward-going particles from the radio emission region is responsible for the observed X-ray spectral hardening.
Health-related quality of life after Rituximab treatment of patients with antineutrophil cytoplasmic antibody-associated vasculitis
Authors: Parvova Iva , Delyiski Tzvetomir , Peteva Parvoleta , Petkova Valentina , Irfan Irfan , Yordanov Emanuil , Hristov Emil
Published: November 2024

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) are severe, socially significant diseases that require a clear understanding of the relationship between the current health status and quality of life of patients. On the one hand, in the scientific literature, there is not enough data to assess the quality of life for the different therapeutic regimens, and no specific tools have been developed to assess functional indicators and health status. On the other hand, with the exception of Rituximab treatment, the available immunosuppressive regimens do not lead to a good clinical response in patients with AAV. The aim of the study is to measure health-related quality of life in a Bulgarian population of patients with systemic vasculitis associated with ANCA undergoing biological treatment with Rituximab by using the generic instrument SF-36 version 2. We conducted a retrospective-prospective, non-interventional, controlled study in two periods in two centers in Bulgaria. Treatment with Rituximab leads to qualitative and quantitative improvement in all components of physical health, including mental and social components. After treatment, all measured parameters were within the normal range for the general population.
Les œuvres diocésaines des vocations en France, du milieu du xixe siècle aux années 1960
Authors: Boniface Xavier
Published: November 2024

Les œuvres des vocations apparaissent dans la plupart des diocèses français à partir des années 1880-1890. Une triple mission, matérielle, apostolique et spirituelle, leur est attribuée : récolter de l’argent pour financer la scolarité des séminaristes pauvres, promouvoir les vocations et prier pour elles. Leur développement tient à la baisse du recrutement du clergé séculier à partir des années 1880. Ces œuvres sont relancées après la Grande Guerre, au cours de laquelle le clergé a subi de lourdes pertes, avant d’être restructurées en profondeur à partir des années 1950-1960, avec l’effondrement du recrutement sacerdotal. Par leurs discours et leur fonctionnement, elles portent des représentations sociales, culturelles et religieuses sur la vocation et sur la figure du prêtre qui restent traditionnelles : elles reflètent l’image tridentine et sulpicienne du curé de campagne, à rebours du rôle grandissant des laïcs à cette époque. Il y a donc une tension entre, d’une part, la réalité effective du ministère sacerdotal et, d’autre part, les discours en partie figés de ces œuvres. Néanmoins, leur action matérielle s’est révélée efficace, répondant, de ce point de vue, aux attentes placées en elles.
Un itinéraire distinct du simple prêtre ?
Authors: Hou François
Published: November 2024

Le xixe siècle concordataire est marqué par une transformation profonde du recrutement sacerdotal : les vocations proviennent désormais massivement du monde paysan tandis qu’elles deviennent très rares dans la bourgeoisie comme dans l’ancienne noblesse. S’interroger sur les perspectives de carrière qu’ouvre dans la première moitié du xixe siècle l’entrée dans l’état ecclésiastique à partir du cas des chanoines des chapitres reconstitués dans les cathédrales françaises à partir de 1802 donne l’occasion d’examiner la place qu’occupe la vocation sacerdotale dans la société française postrévolutionnaire. En effet, plusieurs évêques, dans les premières années du Concordat, désignent le canonicat comme un état analogue à celui qu’occuperaient dans le monde les enfants de la bourgeoisie. Revaloriser le canonicat, dont l’évêque peut désormais librement disposer grâce à son monopole sur les nominations aux titres ecclésiastiques, serait ainsi un moyen de favoriser l’éclosion de vocations parmi les enfants des élites. Les chanoines du xixe siècle présentent incontestablement un profil social distinct de la majorité des prêtres de l’époque concordataire : les prêtres issus des couches supérieures de la société sont surreprésentés au sein des chapitres. Cependant, si les ecclésiastiques socialement favorisés bénéficient d’avantages indéniables pour obtenir le canonicat, la disparition de l’ancien système bénéficial, la nécessité, dans les deux premières décennies du siècle, d’affecter aux paroisses les jeunes prêtres et l’affirmation d’une conception méritocratique de la carrière cléricale empêchent le canonicat de redevenir l’horizon naturel de la vocation pour les fils de la bourgeoisie : le canonicat cesse en effet d’être un état pour devenir une étape, ou, plus souvent, l’aboutissement possible d’une carrière ecclésiastique normalisée.
Une pépinière de vocations religieuses au sein d’une génération hésitante ?
Authors: Duport Aymeri
Published: November 2024

Dans le triple contexte de la baisse du recrutement sacerdotal, du concile Vatican II et de sa réception, et de la « montée des jeunes » issus de la génération du baby-boom, le Centre Richelieu, nom de l’aumônerie des étudiants de la Sorbonne dans les années 1950-1960, s’est trouvé pris au sein de dynamiques très diverses. Il est cependant un pourvoyeur de vocations religieuses d’autant plus important qu’elles ont alors tendance à baisser globalement. On se demande dans cet article en quoi il a constitué un environnement favorable à l’épanouissement de vocations religieuses, après avoir tenté d’en évaluer le nombre. On propose ainsi d’étudier un exemple de lieu de formation d’élites qui participe au recrutement de nombreuses vocations religieuses.
Introduction : Penser les usages artistiques des traces sonores
Authors: Esclapez Christine , Velasco-Pufleau Luis
Published: November 2024

Les archives sont aussi bien des lieux de pouvoir que des lieux de mémoire. De ce fait, les pratiques artistiques qui explorent des archives sonores ont la capacité de transformer de façon sensible nos visions du passé et de produire de nouveaux savoirs. Les articles de ce numéro de Filigrane interrogent le potentiel créateur des archives sonores. Comment, à partir des archives sonores, les artistes proposent-ils ou elles des récits contre-hégémoniques de l’histoire ? Quels sont les processus de création mis en œuvre dans la réutilisation de ces archives ? Comment les artistes et leurs œuvres réactivent-ils par l’écoute les voix du passé, proposent-ils de nouveaux récits, explorent-ils les dits et non-dits de la mémoire collective et de l’histoire officielle, et font-ils résonner les luttes du passé pour comprendre celles du présent ?
Ethical Considerations in Graduate Information Technology Qualitative Research
Authors: Hendon Michalina , Taylor Whitney , Waldrep Joy
Published: November 2024

This chapter discusses ethical challenges and barriers unique to graduate-level qualitative information technology (IT) research faced by computer science, systems, and management researchers. IT research presents several challenges stemming from a discrepancy between the researcher's approach to ethical research design and the characteristics of qualitative methodology, bias, and discrimination. The review of the ethical considerations considers current implementations and recommendations in safeguards and risk mitigation strategies to protect research participants' rights, privacy, and well-being. The chapter explores ethical reflections in research design, the regulatory landscape governing IT research, and current studies addressing the general approach to applied ethics, focusing on education and knowledge of compliance requirements and the consequences of non-compliance in human subject research (HSR). Ultimately, this chapter underscores the need for researchers to prioritize ethical considerations throughout the IT research lifecycle, fostering ethical research practices.
Empowering Research Through Strategic Administration
Authors: Trajkovski Goran
Published: November 2024

This chapter traces the remarkable evolution of research administration from its modest origins to its current strategic role in advancing scientific research. It provides a comprehensive overview of how the field has adapted to the changing needs of the scientific community and the increasing complexity of the research enterprise. The impact of key policy developments, such as the Bayh-Dole Act and the Belmont Report, on the professionalization of research administration is discussed, along with an examination of the current landscape, including the benefits and challenges of technological integration, the rise of specialized roles, and the increasing emphasis on compliance and accountability. The potential influence of emerging technologies, such as artificial intelligence, automation, and advanced analytics, on research administration is also investigated. Ultimately, the chapter underscores the vital role of research administrators as strategic partners in the advancement of scientific knowledge and societal progress.
Belmont 2.0
Authors: Throne Robin , Hendon Michalina
Published: November 2024

With the growth of ubiquitous digital technologies, such as artificial intelligence and machine learning, specialized training and preparation are needed to best guide social science researchers for human research protections that involve protections for data with personally identifiable information. Some human research protection (HRP) officers have called for a Belmont 2.0 that offers more aligned guidance for HRP programs and institutional review boards (IRB) to address data ethics in this new era. This chapter presents an analysis of the shifting climate of HRP data ethics, Belmont Principles, and IRB and HRP implications for artificial intelligence, machine learning, data mining/scraping, and other ubiquitous technologies.
More Than Strong
Authors: Ogden Jéri L.
Published: November 2024

Black women principals play a pivotal role in shaping educational opportunities, especially in under-resourced schools. Despite facing myriad challenges, they exhibit exceptional leadership qualities. This chapter investigates the impact of the “strong Black woman” stereotype on Black women principals and examines the distinct characteristics defining their leadership success. Through a thematic analysis of semi-structured interviews, the study uncovers key traits essential for their leadership roles. Findings reveal a commitment to nurturing, kindness, and authenticity, echoing the ethos of Othermothering and Motherwork within Black Feminist Epistemology. By shedding light on these insights, this chapter contributes to a deeper understanding of effective school leadership, offers valuable implications for educational leadership programs aiming to prepare leaders for diverse school environments, and examines the implications on Black women in leadership beyond the school environment.
Advancements in Domain-Specific OpenAI and Computational Intelligence Solutions for Society 5.0
Authors: More Leena Suresh , Kumar Binod , Prasad Sheetal B.
Published: November 2024

Society 5.0 envisions a human-centric society empowered by digital transformation, where technology serves to enhance the quality of life across all domains. In this context, domain specific OpenAI and CI solutions play a pivotal role in addressing complex societal challenges and fostering sustainable development. This paper explores the recent advancements in leveraging OpenAI and CI techniques to tailor solutions for specific domains within the Society 5.0 framework. It examines case studies across various sectors, including healthcare, education, transportation, agriculture, finance and urban planning, highlighting how AI-driven innovations are revolutionizing processes, optimizing resource allocation, and improving decision-making. The paper discusses the ethical considerations and regulatory frameworks necessary to ensure the responsible deployment of these technologies. Through a multidisciplinary approach, OpenAI and CI solutions have the potential to drive positive societal transformation, enabling a more inclusive, sustainable and prosperous future in the era of Society 5.0.
AI's Cognitive Blueprint Through Human Brain Anatomy
Authors: Gavhane Jyoti Nagnath , Pagare Reena , Radhakrishnan Nirmal Govind , Midhunchakkaravarthy Divya
Published: November 2024

A significant portion of the chapter is dedicated to the simulation of human brain processes within AI systems. Through discussions on the Turing test and the evolutionary journey of AI architectures like SOAR and ACT-R, readers gain insights into how AI simulates human cognition and decision-making processes. The chapter also explores advanced neural network-based cognitive architectures, particularly highlighting the applications of Hopfield Neural Networks (HNNs) in solving mental health-related issues. Moreover, the chapter delves into recent research endeavors such as the Human Brain Project, showcasing the ongoing efforts to develop electronic brains by 2023. Future developments and applications of cognitive architecture, including ACT-R and HNNs, are also discussed, offering a glimpse into the potential advancements in AI's cognitive landscape. By unraveling the intricate workings of AI's cognitive intelligence, symbiotic relationship between human cognition and machine intelligence.
Agricultural Intelligence (AI)'s Impact on Society 5.0 Farming
Authors: Rana Princy , Ahmad Munir , Stephen Taulu , Chemingui Houssem
Published: November 2024

This chapter explored the proactive impact of Ag-AI in shaping Society 5.0 farming practices. The chapter evaluated Ag-AI's capabilities and its role in advancing agriculture. It is found that Ag-AI leverages AI to enhance precision agriculture, resource optimization, predictive maintenance, and targeted pest and disease management. Ag-AI also enables tailored interventions for specific field areas, conserving resources and protecting the environment. Predictive maintenance reduces equipment downtime, while AI-driven pest management minimizes chemical use. Ag-AI's data-driven approach also improves water and fertilizer use efficiency, optimizing greenhouse energy use. Automation of repetitive tasks, such as weeding and harvesting, boosts productivity, allowing farmers to focus on strategic planning. The chapter also highlighted potential drawbacks including data privacy, cybersecurity, affordability, digital divide, job displacement, and algorithmic biases.
Towards a Greener Tomorrow
Authors: Puri Shalini , Ahmmed Md. Mortuza , Dadhich Anjali , Punhani Ritu , Kabir Tahsin , Rassel Mian Mohammad , Noor Mst. Nadiya
Published: November 2024

The importance of renewable energy is becoming more and more clear as the world struggles with climate change and the need for sustainable development. This study explores Bangladesh's present situation about renewable energy and provides a thorough analysis of the country's capacity to adopt sustainable energy solutions. It outlines Bangladesh's dependence on conventional fossil fuels and the ensuing environmental effects before examining developments in hydroelectric, solar, and wind power. Bangladesh's renewable energy trajectory is shaped in part by government policies that receive particular attention. Benefits to society such as increased employment, energy security, and electrification of rural areas are highlighted, but there are drawbacks as well, such as insufficient funding and infrastructure. This study highlights the pressing need for a switch to cleaner energy sources and looks ahead to advancements in grid integration, energy storage, and policy frameworks.
Bias in AI
Authors: Bose Malobika
Published: November 2024

This chapter examines the effects of bias in AI on individuals, businesses, and society, along with potential mitigation strategies. The pervasive adoption of artificial intelligence (AI) in various societal sectors raises a critical question: what is the impact of inherent biases in AI systems? It is vital to seek technical solutions to these biases and to comprehend the wider societal repercussions of AI bias to reduce its detrimental effects. AI bias can significantly and sometimes adversely affect individuals, businesses, and society. The influence of AI bias spans several domains, including employment, hiring, businesses, criminal justice system and society. AI-driven mechanisms could unintentionally discriminate against specific demographics based on race, gender, or economic status, potentially aggravating existing inequalities and curtailing opportunities for underprivileged groups. Moreover, AI bias can shape public perception and decision-making. Thus, it is clear that AI impacts us on three fronts: individually, commercially, and societally.
Ethical Considerations and Social Impact of AI and Computational Intelligence in Society 5.0
Authors: Tariq Muhammad Usman , Sergio Rommel P.
Published: November 2024

The chapter dives into the multi-layered crossing point of artificial brainpower (artificial intelligence) and computational knowledge inside the system of Society 5.0. It explores the moral aspects innate in the sending and use of cutting-edge innovations, underlining the vital significance of moral rules in moulding the cultural direction. Recognizing the extraordinary capability of computer-based intelligence, the section fundamentally looks at its positive and negative suggestions on different parts of human existence, including financial matters, administration, medical care, and training. Inside the setting of Society 5.0, described by the incorporation of the internet and actual space, the section examines the advancing social elements impacted by computer-based intelligence and computational insight. It highlights the need for moral systems to alleviate potential dangers like algorithmic inclination, loss of security, and intensifying cultural disparities.
Ethical Implications of Open AI and Collaborative Development in Society 5.0
Authors: Akhtar Shibli , Akhtar Mohammad Amir Khusru , Kumar Mohit
Published: November 2024

This chapter explores the exciting possibilities and ethical considerations surrounding Society 5.0, a future where advanced technologies like artificial intelligence (AI) are seamlessly integrated into every aspect of our lives. OpenAI, a suite of powerful AI tools freely available for public use, is a key driver of this transformation. The chapter delves into the potential benefits of OpenAI and collaborative AI development in Society 5.0, including personalized learning, precision medicine, sustainability solutions, and enhanced public safety. However, it emphasizes that alongside these opportunities lie critical ethical considerations demanding our attention. These considerations include the lack of transparency in AI algorithms, potential for bias, job displacement due to automation, and privacy concerns surrounding data collection. The chapter stresses the importance of proactive discussions involving researchers, policymakers, developers, and the public to ensure the responsible and ethical development of AI for the benefit of all.
An Exploration of Ethical Implications and Social Impact of Artificial Intelligence (AI) in the Indian Context
Authors: Khalid Sheeba , Chakraborty Somarata , Rani Sweta
Published: November 2024

The rapid development and integration of Artificial Intelligence (AI) in India raises important ethical concerns that must be addressed to ensure the technology benefits society as a whole. This study aims to investigate the ethical implications of AI in the Indian context, with a focus on privacy, autonomy, fairness, and accountability. Guided by the three fundamental principles of the respect for persons, beneficence, and justice - this research will provide a comprehensive approach to incorporating ethical understanding into AI development, deployment, and governance in India. The study's findings will inform the development of ethical guidelines, regulations, and standards for AI that promote human welfare, respect human dignity, and advance the common good. By examining the unique cultural, linguistic, and societal nuances of India, this research will contribute to a deeper understanding of the ethical considerations of AI and inform strategies for responsible AI development in diverse contexts.
Machine Learning Solutions in Smart Healthcare
Authors: Patel Vivek , Chaurasia Vijayshri , Siddiqui Ebtasam Ahmad , Patole Shashikant P. , Mahadeva Rajesh
Published: November 2024

Machine learning (ML) techniques are widely used in medical practices and progressively evolving to make faster and more efficient systems. Recent advancements in ML are being done to make healthcare system more intelligent. In the current perspective the conventional healthcare system is directly dependent on hospitals and clinics, which is proven insufficient. Healthcare is one of the most growing areas where ML playing remarkable role as a solution to make automated and efficient framework. However, the ML based healthcare system is dependent on substantial data for healthy learning of it. In addition to this internet of things (IoT) can help to make a global healthcare platform. Although there is very limited medical data is available for training of ML healthcare system. In this chapter, we describe the current advances in ML technologies and their applications in healthcare.
QR Code-Integrated ML Analytics Library System
Authors: Pandey Rajiv , Sahai Archana , Singh Guru Dev , Awasthi Radhika
Published: November 2024

Following the global COVID-19 outbreak, libraries are forced to adopt touchless technologies to protect their clients and employees. This chapter examines an innovative approach that, by seamlessly fusing QR codes and Machine Learning (ML) approaches, exceeds conventional library administration. Beginning with a thorough analysis of traditional library management systems, the chapter reveals their shortcomings and draws attention to the flaws in Radio Frequency Identification (RFID) technology and insufficient automation techniques, highlighting the demand for a complete touchless solution. The idea of a unique QR code for every student, closely connected to their identification information, lies at the heart of the proposed system. The unique ID mapping system, which gives each book a unique identity, is a crucial invention. This chapter describes a ground-breaking touchless library concept with low extra expenditures, less on-site personnel requirements, simplified inventory management, and simple book issuing and return procedures characterized by the need for health and safety.
Next Generation Smart Street Light Monitoring and Controlling System Using IoT
Authors: Shanmugasundaram Singaravelan , Ramaiah Arun , Dhiraviyam Arun Shunmugam , Ethirajan Manohar , PaperAnathaMurugesan RamaSubramanian , Pathalaveeran Gopalsamy , Subbiah Balaganesh , Kasipandian Kasirajan
Published: November 2024

Multi-functional and unique IoT cloud-based smart street lighting control system with central management system software. It is a perfect solution to manage large-scale outdoor lighting networks in order to control and monitor street lighting infrastructure while saving energy and reducing maintenance costs. Smart street lighting control system allows a city to schedule lights on or off easily and set dimming levels of lights so a city can provide the right level of lighting intelligently. Smart street lighting control systems accurately detect light failure and other maintenance problems in real time so malfunctions can be fixed quickly. This intelligent system provides the operator with web access for automatic or manual monitoring and control over illumination performance. Smart Street Lighting solution gives cities and municipalities the capability to remotely monitor and control the street lights in a much effective way. Our Smart Street Lighting Solution. Our smart street lighting solution can be used for highways, urban/rural buildings, parks, and industries.
Improving Time Series Forecasting Accuracy With Hybrid Radial Basis Function Networks
Authors: Azariya S. David Samuel , Mohanraj V. , Velayutham Sathiyamoorthi , Janakiraman Sengathir , Vijayagopal V.
Published: November 2024

Time series forecasting, which uses previous data to predict future patterns, is crucial for business decision-making. This chapter explores using Hybrid Radial Basis Function Networks (RBFNs) to improve forecasting accuracy. The value of time series forecasting is seen in several industries, including energy and finance, where accurate forecasts are essential for efficient planning and risk management. Despite its usefulness, the nonlinearity, seasonality, and noise in data pose hurdles to forecasting accuracy. RBFNs provide a possible option because of their ability to simulate intricate interactions. Hybrid RBFNs seek to solve the shortcomings of standard models by fusing the advantages of RBFNs with alternative techniques. The design of RBFNs, hybridization approaches, and their use in practical forecasting scenarios are examined in this chapter, emphasizing the potential for significant improvements in prediction accuracy and reliability.
Degree Immutability for Education
Authors: Pandey Rajiv , Maurya Pratibha , Singh Guru Dev
Published: November 2024

The creation of a blockchain website for student certificate verification is a project designed to answer rising concerns about the legitimacy and security of academic credentials. This project intends to establish a trustworthy and efficient platform for certifying student credentials by exploiting the decentralized and tamper-resistant properties of blockchain technology. The project's goals include creating a transparent, fraud-resistant system that protects the integrity of certificate data. The blockchain website will simplify the verification process, allowing educational institutions, future employers, and other stakeholders to readily validate students' credentials. Implementing a blockchain website for student credential verification provides increased trust, security, and efficiency. The blockchain maintains the integrity and dependability of certificates by removing the potential of manipulation or fraud.
Probabilistic Integration Random Forest Decision Tree Fusion Model
Authors: Butalia Ayesha , Bhattacharjee Debarshi Basu , Satpute Keerti
Published: November 2024

Our study proposes an Integration Random Forest Decision Tree Fusion Model (IRFDTFM) for detecting kidney stones, utilizing two datasets comprising 414 and 89 records, respectively. These datasets include measurements such as gravity, pH, osmolality, conductivity, urea, calcium, and a binary target variable indicating stone presence. Unlike existing methodologies, which primarily focus on detection, our approach aims to uncover the underlying factors contributing to kidney stone formation by leveraging Decision Tree and Random Forest methodologies, coupled with exploratory data analysis and feature engineering. Through this, we aim to enhance the efficiency and accuracy of kidney stone detection, with objectives including identifying crucial factors responsible for kidney stone formation and contributing to early and accurate detection to improve healthcare outcomes. By integrating probabilistic methods with advanced machine learning techniques, our model offers a solution for kidney stone detection, with potential usability and applicability in clinical settings.
Unveiling Methodological Approaches
Authors: Malahlela Moyagabo Kate
Published: November 2024

Research paradigms in educational research are not merely additions to the research methodologies but meaningful frameworks into which theories and practices contribute towards the creation of the research plan. Research paradigms in the research project serve as fundamental aspects of conducting meaningful, rigorous and impactful research that contribute to the advancement of theory, practice and policy in the field of education. This study aimed to investigate various research paradigms employed in educational research and their implications on research methodologies. The study further provides the philosophical foundations and theoretical perspectives that guide the design, conduct and interpretation of research studies in the field of education.
Epistemology in Research
Authors: Chandratreya Abhijit
Published: November 2024

Epistemology plays a fundamental role in shaping the foundations of research methodology, guiding researchers in understanding the nature of knowledge and how it is acquired, justified, and disseminated. This chapter explores the significance of epistemology in research, examining its implications for the formulation of research questions, the selection of appropriate methodologies, and the interpretation of findings. the chapter explores the interplay between epistemology and research design, emphasizing the importance of aligning methodological approaches with epistemological assumptions to ensure the validity and rigor of research outcomes.
Digital Dilemmas and Solutions
Authors: Kamarudin Nur Shuhada , Hishamudin Muhammad Zikry
Published: November 2024

Malaysia's rapidly growing Islamic finance industry is currently transitioning into the digitalization era. This shift underscores the importance of integrating digital tools and platforms to promote financial literacy and education. The chapter emphasizes the need to provide individuals with the necessary knowledge and skills to navigate the digital financial landscape, particularly in understanding Islamic financial products. It also highlights the significance of both formal and informal digital educational platforms in disseminating Islamic financial knowledge. Furthermore, the chapter stresses the comprehensive focus required for Islamic financial education across formal and informal settings, given the impact of the digital revolution on the financial services industry. By addressing the digital challenges faced by learners and educators and proposing solutions to bridge the gap between traditional and modern approaches, this chapter provides valuable insights for stakeholders in the Islamic finance and education sectors.