bluuebunny/crossref_metadata_2025 huggingface dataset:
Chapter 18: Interleaved practice in classrooms
Authors: Alex Jogymol Kalariparampil , Mukuka Angel
Published: December 2024

Chapter 18, titled "Interleaved Practice in Classrooms," provides a comprehensive guide on the implementation of interleaved practice within educational contexts. It delves into not only the practical applications but also the theoretical underpinnings, advantages, limitations, and illustrative examples across various subjects to contextualise the utilisation of interleaved practice. The chapter posits interleaved practice as an effective learning strategy that entails the integration of diverse topics or problem types within a singular study session, thereby enhancing retention and mastery. Furthermore, it underscores emerging trends that may influence the future of interleaved practice in 21st-century classrooms, including the utilisation of digital technology for the seamless integration of topics, gamification to increase student engagement, and personalised approaches to address individual learning needs. As educational practices evolve, interleaved practice emerges as a potent tool for optimising learning outcomes in contemporary educational settings.
C3PO. III. On the Lithium Signatures following Planet Engulfment by Stars
Authors: Sun Qinghui , Ting Yuan-Sen , Liu Fan , Wang Sharon Xuesong , Anthony-Twarog Barbara J. , Twarog Bruce A. , Yang Jia-Yi , Chen Di-Chang , Karakas Amanda I. , Xie Ji-Wei , Yong David
Published: December 2024

Planet engulfment has been identified as one of the mechanisms for enhancing lithium abundance in stars. However, comprehensive investigations into lithium signatures following such events remain limited. Stars born together, sharing a common origin and stellar characteristics, provide a unique opportunity to study these signatures and compare lithium abundances. We demonstrate that the distinctive signature of planet engulfment in lithium abundance is only discernible among highly similar stellar twins. We present lithium abundance measurements for 125 comoving pairs of stars, representing the largest sample to date with a single, homogeneous assessment of high-precision lithium abundance. While lithium abundance enhancements in pairs showing planet engulfment signatures are within 0.35 dex, we find that even at fixed stellar parameters (temperature and age), the intrinsic scatter in lithium abundance is typically 0.35 dex for G/F dwarfs and can be as large as 0.6 dex for older and cooler stars due to internal stellar evolution processes. Since the planet engulfment signature from lithium can be masked by stellar intrinsic scatter, our findings raise questions about relying solely on lithium as an indicator for planet engulfment or attributing lithium-richness in stars primarily to planet engulfment events.
Stellar Metallicities from DECam u-band Photometry: A Study of Milky Way Ultra-faint Dwarf Galaxies
Authors: Pan Yue , Chiti Anirudh , Drlica-Wagner Alex , Ji Alexander P. , Li Ting S. , Limberg Guilherme , Tucker Douglas L. , Allam Sahar
Published: December 2024

We conducted an in-depth analysis of candidate member stars located in the peripheries of three ultra-faint dwarf (UFD) galaxy satellites of the Milky Way (MW): Boötes I (Boo1), Boötes II (Boo2), and Segue I (Seg1). Studying these peripheral stars has previously been difficult due to contamination from the MW foreground. We used u-band photometry from the Dark Energy Camera (DECam) to derive metallicities to efficiently select UFD candidate member stars. This approach was validated on Boo1, where we identified both previously known and new candidate member stars beyond five half-light radii. We then applied a similar procedure to Boo2 and Seg1. Our findings hinted at evidence for tidal features in Boo1 and Seg1, with Boo1 having an elongation consistent with its proper motion and Seg1 showing some distant candidate stars, a few of which are along its elongation and proper motion. We find two Boo2 stars at large distances consistent with being candidate member stars. Using a foreground contamination rate derived from the Besançon Galaxy model, we ascribed purity estimates to each candidate member star. We recommend further spectroscopic studies on the newly identified high-purity members. Our technique offers promise for future endeavors to detect candidate member stars at large radii in other systems, leveraging metallicity-sensitive filters with the Legacy Survey of Space and Time and the new, narrowband Ca HK filter on DECam.
Transiting Jupiters around M Dwarfs Have Similar Masses to FGK Warm Jupiters
Authors: Kanodia Shubham
Published: December 2024

This paper presents a comparative analysis of the bulk properties (mass and radius) of transiting giant planets (≳8R
⊕) orbiting FGKM stars. Our findings suggest that the average mass of M-dwarf Jupiters is lower than that of their solar-type counterparts, primarily due to the scarcity of super-Jupiters (≳2 M
J) around M dwarfs. However, when super-Jupiters are excluded from the analysis, we observe a striking similarity in the average masses of M-dwarf and FGK warm-Jupiters. We propose that these trends can be explained by a minimum disk dust mass threshold required for Jovian formation through core accretion, which is likely to be satisfied more often around higher-mass stars. This simplistic explanation suggests that the disk mass has more of an influence on giant planet formation than other factors, such as the host star mass, formation location, metallicity, radiation environment, etc., and also accounts for the lower occurrence of giant planets around M-dwarf stars. Additionally, we explore the possibility of an abrupt transition in the ratio of super-Jupiters to Jupiters around F-type stars at the Kraft break, which could be a product of vsini-related detection biases, but requires additional data from an unbiased sample with published nondetections to confirm. Overall, our results provide valuable insights into the formation and evolution of giant exoplanets across a diverse range of stellar environments.
MLody—Deep Learning–generated Polarized Synchrotron Coefficients
Authors: Davelaar J.
Published: December 2024

Polarized synchrotron emission is a fundamental process in high-energy astrophysics, particularly in the environments around black holes and pulsars. Accurate modeling of this emission requires precise computation of the emission, absorption, rotation, and conversion coefficients, which are critical for radiative transfer simulations. Traditionally, these coefficients are derived using fit functions based on precomputed ground truth values. However, these fit functions often lack accuracy, particularly in specific plasma conditions not well represented in the data sets used to generate them. In this work, we introduce MLody, a deep neural network designed to compute polarized synchrotron coefficients with high accuracy across a wide range of plasma parameters. We demonstrate MLody's capabilities by integrating it with a radiative transfer code to generate synthetic polarized synchrotron images for an accreting black hole simulation. Our results reveal significant differences, up to a factor of 2, in both linear and circular polarization compared to traditional methods. These differences could have important implications for parameter estimation in Event Horizon Telescope observations, suggesting that MLody could enhance the accuracy of future astrophysical analyses.
The wild bees (Hymenoptera, Apoidea, Anthophila) of the urban nature reserves of Rome (Italy, Latium): a preliminary survey
Authors: Fortini Lorenzo , Ruzzier Enrico , Mei Maurizio , Di Giulio Andrea
Published: December 2024

Urbanisation is a global phenomenon responsible for negative processes in natural ecosystems, such as degradation, loss of habitat and fragmentation. Large urban green areas could, however, represent shelter for animal species, promoting biodiversity conservation. Urban green spaces can also provide useful habitats for threatened species. Wild bees are amongst the most important and efficient pollinating insects and play an indispensable role in ecosystem functioning. Approximately half of the European wild bee species have been reported from Italy, making it a biodiversity hotspot for this group of insects. Many studies have been conducted on pollinating insects in recent years, but few data and incomplete knowledge on wild bee faunas in strictly urban environments exist. Georeferenced faunal data would be important for conservation efforts and understanding the effects that large cities such as Rome may have on the diversity of wild bee communities.

This work focused on the diversity of wild bees in nature reserves belonging to the RomaNatura network within the urban area of Rome, Italy. A total of 208 wild bee species belonging to 36 genera and six families were identified. Amongst the species surveyed, one species was classified as Endangered (EN) and seven species were classified as Near Threatened (NT) by the European Red List of wild bees. Twenty-four species are new reports for the urban area of Rome. Sampling took place from April to September 2022. The most represented family in terms of abundance was Halictidae, accounting for 36% of all bees collected, followed by Apidae (24% of samples), Andrenidae (17% of samples), Megachilidae (15% of samples), Colletidae (7% of samples) and Melittidae (1% of samples). The Megachilidae family was the richest in terms of the number of species, accounting for 25% of the total species sampled. This research aimed to provide a set of standardised and georeferenced wild bee occurrences that constitute the baseline for any faunistic, ecological and conservation activity of Rome's nature reserves. In addition, the research aims to demonstrate the importance of large urban green areas in one of the largest European cities as biodiversity reservoirs for wild bees.
Contribution to the knowledge of the bryological flora of Molise (Southern Italy)
Authors: Scortegagna Silvio
Published: December 2024

Molise is one of the least known Italian administrative regions from a bryological point of view. The data collected during some bryological excursions in Molise are here reported. The list includes 88 species, of which 26 are new or confirmed for the regional flora: Antitrichia curtipendula, Cryphaea heteromalla, Dialytrichia mucronata, Eurhynchium striatum, Fabronia pusilla, Frullania tamarisci, Fontinalis antipyretica, Gymnostomum aeruginosum, Isothecium myosuroides, Leptodon smithii, Lewinskya speciosa, Marchantia quadrata, Neckera pumila, Nogopterium gracile, Oxyrrhinchium hians, Plagiomnium rostratum, Plagiothecium nemorale, Plasteurhynchium striatulum, Porella arboris-vitae, Schistidium crassipilum, Scleropodium touretii, Scorpiurium circinatum, Syntrichia papillosa, Syntrichia virescens, Thuidium tamariscinum, Tortella flavovirens var. flavovirens.
A new marine diatom (Bacillariophyceae) species – Halamphora lombokensis sp. nov. and the first observation for H. banzuensis from Kuta Beach Lombok, West Nusa Tenggara, Indonesia
Authors: Pane Elya Putri , Risjani Yenny , Hamilton Paul B. , Solak Cüneyt Nadir , Yunianta Yunianta , Ertorun Nesil , Yılmaz Elif
Published: December 2024

This paper describes a new species of Halamphora – Halamphora lombokensissp. nov. and records for the first time Halamphora banzuensis for the coasts of Indonesia. The study utilized light and scanning electron microscopy to meticulously examine the morphology. These species were found at Kuta Beach on the island of Lombok in Indonesia in highly saline sandy environments. The newly identified species, H. lombokensissp. nov., is characterized by its semi-lanceolate to narrowly semi-elliptic shape with a straight ventral and convex dorsal margin. The study contributes to our understanding of marine diatom flora in Indonesia’s coastal regions.
Ctenophora hunanensis sp. nov. (Bacillariophyta) from the Yongle River in Hunan Province, China
Authors: Xiang Dong-Qin , Yang Rui , Rioual Patrick , Zheng Yan , Liu Bing
Published: December 2024

A new species, Ctenophora hunanensis Bing Liu & Rioual, sp. nov., found in the Yongle River, a tributary of the Xiang River (Hunan Province, southern China) is described on the basis of morphological observations made under light and scanning electron microscopes. Ctenophora hunanensis is distinguished from other Ctenophora taxa by a unique combination of characters that includes its lanceolate valve outline with rostrate apices, sternum gradually becoming wider from valve apices to center, and a greater valve width than the other members of the genus. Ctenophora hunanensis inhabits the epilithic community in the headwaters of a freshwater river. Many abnormal valves of C. hunanensis were observed in the samples investigated and the most frequent morphological abnormalities consisted in a lack of symmetry relative to the apical axis caused by a unilateral incising in the middle part of the valve.
Cryptanalysis of hyperchaotic S-box generation and image encryption
Authors: Mazyad Hazzazi Mohammad , Gulraiz  , Ali Rashad , Kamran Jamil Muhammad , Abdullah Nooh Sameer , Alblehai Fahad
Published: December 2024

Cryptography serves as the cornerstone for safe communication and data security in today's digital environment. Because they feature substitution boxes, substitution-permutation networks (SPNs) are crucial for cryptographic algorithms such as the popular Advanced Encryption Standard (AES). The structure and properties of S-boxes have a significant impact on the overall security of cryptographic systems. This article aims to improve cryptographic security through unique S-box construction methodologies. The proposed S-boxes improve the security features by employing chaotic maps and Galois fields, which go beyond traditional design approaches. The S-boxes were analyzed and the weaknesses were removed to design strong candidate S-boxes. The efficiency of the proposed S-boxes in increasing cryptographic resilience is thoroughly explored thereby taking nonlinearity, strict avalanche requirements, bit independence constraints, linear approximation, and differential approximation into account. The dynamic S-boxes have average scores of nonlinearity, strict avalanche criteria(SAC), nonlinearity of Bit Independence Criteria (BIC Nonlinearity), SAC of Bit Independence Criteria (BIC SAC), Linear Approximation Probability (LAP) and Differential Approximation Probability (DAP) is 111.1025, 111.1022, 0.5014, 0.5024, 111.1082, 111.0964, 0.5024, 0.5022, 0.0726, 0.0729 and 0.0214, 0.0219, respectively. Furthermore, given the prevalence of images in modern communication and data storage, this work studies the seamless incorporation of advanced S-boxes into image encryption systems. With its thorough research, the paper contributes to the current discussion on cryptographic security by providing theoretical understandings and practical solutions to improve digital communication and data security in an era of rising cyber dangers and ubiquitous connectivity.
Prof. Dr. Andrej Mihevc (1952–2024)
Authors: Gabrovšek Franci , Zupan Hajna Nadja
Published: December 2024

Our dear friend and colleague, Prof. Dr. Andrej Mihevc, passed away in October 2024 after a long battle with an incurable illness.
V iskanju novih obrazov
Authors: Komić Marn Renata
Published: December 2024

V prvi temeljiti raziskavi življenja in opusa slikarja Carla Vogla (Dunaj, 27. 9. 1820 – po 1862) avtorica evidentira njegova znana dela ter analizira njegove doslej nepoznane ponavljajoče se migracije iz Gradca na jug habsburške monarhije (v Ljubljano in Maribor ter na Hrvaško), ki jih je spodbujala potreba po novih naročilih. Slikarjeve migracije so verjetno povzročile dosedanje slabše poznavanje njegovega življenja in opusa. Članek prinaša tudi zanesljive identifikacije mnogih od Voglovih premožnih in kulturno ozaveščenih naročnikov ter analizira njihovo vlogo v meščanski družbi okoli srede 19. stoletja.
An Integrated Approach to Developing Essential 21st Century Skills in Modern Education
Authors: Suri Charvi Sanjay , Suri Isha Sanjay , Kumari Monika
Published: December 2024

Imagine a unique school where every student's journey is guided by smart technology that knows just what they need. Kids tackle real problems that matter, working together on exciting projects. They move forward at their own pace, celebrating victories big and small along the way. Picture classrooms are buzzing with energy, where gadgets and apps make learning feel like an adventure. Teachers are supported and inspired, helping every child shine. No one gets left behind – there's a path for everyone. Local businesses pitch in, showing students how their lessons connect to future careers. And the learning doesn't stop at graduation – it's a lifelong expedition of growth and discovery. This isn't just a dream. It's a roadmap for education that prepares our kids to thrive in a world of rapid change, nurturing the skills they'll need to shape tomorrow.
Pedagogies to Foster Critical Thinking and Reflection
Authors: Raju Prageetha G.
Published: December 2024

HRM teaching is getting essential given the trend for integrated programmes in India and abroad. While business management students are taught mainstream HRM (strategic and tactical HRM) from business goal fulfilment point of view with managerial relevance (ideologies and paradigms merely introduced), Griffin (1997) asserts that operational HR requires sound knowledge of law given the regulations governing employer-employee relationships. A person standing at the intersection of HRM and Law is much awaited in the market because HR function in every organization is regulated by Law. In this backdrop, how HRM is taught to students pursuing integrated Law program remains unanswered given the dearth of literature regarding the context, the content, the perspectives, and pedagogies of HRM for integrated program students.
Quantum Computing-Based Automatic Car Safety With Advanced Machine Learning in Traffic Sign Recognition Using Convolutional Neural Networks
Authors: Ragunandhan P. , Santhini T.
Published: December 2024

Effective management of road facilities and safe operation of autonomous vehicles depend on a traffic sign recognition system. On multiple benchmarks, recent research on traffic sign recognition tasks demonstrates notable improvements in accuracy. This project offers a thorough investigation of the use of machine learning techniques in the creation of a reliable system for autonomous cars to identify traffic signs and road signs.The research involves the creation of a comprehensive dataset, which involves the diverse images of various road signs. CNN is used to train collected data for testing live scenarios. Integration of the trained model into the broader autonomous vehicle system involves seamless collaboration with localization, mapping, and decision-making modules. This approach ensures the system stays adaptable, contributing significantly to the improvement of autonomous vehicle technology in Live tracking.
Quantum Enhanced Tour and Travel Recommendation AI Chatbot Utilizing Bot Press
Authors: Reddy Vikram Simha , Mythili R. , Swaroop Aditya , Surya Bachu
Published: December 2024

The objective of this project aims to develop a Personal AI Travel Assistant using Bot press, a powerful opensource conversational AI framework. a robust open-source natural language processing framework—and the potential of quantum computing, this project seeks to construct a Personal AI Travel Assistant. The Personal AI Travel Companion is at the forefront of innovation when it comes to personal trip organizing and handling thanks to the use of quantum computing. The assistant can handle massive volumes of data and execute complicated computations with lightning speed and efficiency thanks to quantum computing. Personalized trip suggestions, itinerary its creation, real-time travel updates, and seamless help are just a few of the services that consumers can expect from this quantum-enhanced personalized AI travel assistant.
Quantum Marketing and Disruptive Technologies
Authors: Ramlakan Ashish Prithviraj , Gupta Ruchi
Published: December 2024

Recent advancements in technologies such as quantum marketing, blockchain, Artificial Intelligence (AI), Virtual Reality (VR), and the Internet of Things (IoT) have fundamentally altered customer interactions, consequently influencing their purchasing decisions. The methodology employed encompasses a systematic literature review spanning peer reviewed journals and grey literature sources, including white papers, newspapers, blogs sites, and social media posts, covering the period from Januray 1, 2005, to December 31, 2023.Additionally, the study incorporates a sentiment analysis of Reddit posts drawn from a repository of 30,000 historical subreddits, aimed at evaluating consumer attitudes and behaviours towards purchasing.Through its findings, the study highlights the significant influence of consistent online community interaction on consumer behaviour, serving as a significant predictor of purchasing decisions. The study presents empirical evidence that positive language and digital marketing security fosters high levels of trust and positive sentiments online .
Urban Guardians Empowering Communities for Sustainable City Management Using Quantum Computing
Authors: Kiruthika J. K. , Yawanikha T. , Jeevan M. , Hariprasath M. , Aisvarya P. , Shanmugam Chitra Devi
Published: December 2024

Amidst the challenges posed by rapid urbanization and underutilized local infrastructure, there arises a pressing need for proactive solutions. These challenges include littered streets and neglect urban areas that demand our attention. To tackle these issues, we must raise social awareness, and foster a shared sense of responsibility among residents. In response to these urban challenges, Urban Guardians emerges as a transformative platform designed to empower communities and residents. This innovative initiative harnesses technology to encourage civic engagement and active participation. Its primary goal is to create a dynamic platform where residents can report various urban concerns, such as litter, with precise geolocation data and assigned severity levels for swift resolution. Urban Guardians uses Quantum Computing to streamline urban management procedures while reducing the distance between the local government representatives and the public. This promotes a cleaner environment through informed decision making and increased civic engagement.
Feasibility of Agricultural Supply Chain Management Strategies in Industry 4.0
Authors: Panigrahy Shakti Ranjan , Panda Shubhaom
Published: December 2024

Supply chain management (SCM) is a crucial aspect of the global economy. It also plays a significant role in the agriculture sector. Key factors for success include liberalization of a 1.4 billion consumer market. India's industrial growth is largely driven by the manufacturing sector. However, the growth rate of the manufacturing sector could not be adequate for the requirement of an employable population. The service sector, which accounts for over half of India's GDP, has seen a high growth rate after liberalisation. Agribusiness supply chain management (SCM) involves managing relationships between businesses responsible for efficient production and supply of products to meet consumers' requirements. Government agencies are implementing legal reforms to encourage private investment in agricultural marketing infrastructure and promote coordinated supply chains and traceability. Industry 4.0, powered by big data, cloud computing, blockchain, IoT, AI, and machine learning, requires companies to rethink supply chain design, leading to faster, more efficient supply chains
Evolving Agri-Food Supply Chain Through Digitalisation
Authors: Freund Anna , Jámbor Zsófia , Nagy Judit
Published: December 2024

This study investigates the transformative impact of digitalisation on the agri-food supply chain (AFSC), with a focus on operational sustainability. Through a comprehensive bibliometric analysis of 438 documents from the Web of Science (WoS) and SCOPUS databases, key research streams within AFSC literature are identified. The study highlights how digitalisation enhances efficiency, traceability, and sustainability, while also presenting challenges such as technological barriers and cybersecurity risks. Complementing the literature review, 24 interviews were made with AFSC members and stakeholders (including raw material producers, processors, manufacturers, retailers, logistic service providers and trade associations) to provide practical insights into the adoption and impact of digital solutions. The findings underscore the necessity for tailored digital strategies across different AFSC sub-sectors, emphasizing the role of digitalisation in improving operational resilience and sustainability.
Overcoming Supply Chain Barriers in Onion Through Technology
Authors: Shroff Sangeeta , Vilhekar Rohini Ashok
Published: December 2024

The onion economy is characterized by major price volatility due to seasonal production, while there is daily consumption by almost every Indian household. The crop is highly perishable and depends upon stored produce for about 6-7 months as there is no harvest between May to November. The crop besides suffering from considerable storage losses, is also susceptible to unfavorable monsoons which can lead to huge crop loss and high prices. Price rise is addressed through government agencies releasing buffer stocks, fixation of Minimum Export Price and even regressive measures such as export ban. This paper, examines the price fluctuations and the status of demand, supply and exports of onion crop. The paper highlights that the supply shocks must be addressed through technology, which can increase yields and also be leveraged for creating advanced storage structures in place of traditional ones, often used by farmers. This serves as the real solution rather than export bans, considering that India has export potential and several countries are dependent upon India for supplies.
Overcoming Fertilizer Supply Chain Disruptions in Agriculture With Special Reference to India
Authors: Sukumaran Nair M. P.
Published: December 2024

Agriculture gradually depletes the soil of the essential nutrients for the growth of plants resulting in low crop productivity and yields. Soil is to be continuously fortified by the application of fertilizers to maintain food production. Therefore, an unbreakable supply chain is essential for continuous production of food from the fields. The supply chain gets disrupted following global economic downturn, pandemic or war situations. Due to this disruption supplies are affected, farmers are overburdened by rise in fertilizer prices beyond their reach and it could possibly lead to global food insecurity. India is a major foodgrain producing country and nearly 55% of its 1.44 billion population depends on agriculture for survival. This chapter discuss importance of al fertilizers in Indian agriculture and how the consumption is managed through domestic production and imports. The disruption in global supplies due to Covid 19 and the Ukraine war and problems encountered in making adequate supplies and government efforts to streamline the fertilizer supply chain are discussed.
Sustaining Livestock Supply Chain in Namibia
Authors: Roul Saryamani
Published: December 2024

Namibia has a tremendous potential in the livestock sector which has come a long way in developing its competitive advantage and USP with a good animal identification and traceability system. This potential is likely to be harnessed with Namibia's progressive policies, plans and actions to integrate the existing three livestock marketing systems -small communal farmers in north, emerging small scale farmers and existing commercial farming in the south, gain access to high-end markets particularly by supporting small farmers in north part of the country on integrated crop-livestock systems, range land management plans, and strengthen knowledge and capacity of the farmers. Integration of the three systems is expected to provide ample opportunities on Out grower models, central processing facilities like Agro Processing Hubs and Agri Transformation Centers nearer to the small holder farmers as one-stop shops to do business and bring prosperity.
Microfinance Serving Agriculture Supply Chain in Dapaong, Togo in Western Africa
Authors: Laré Amandine , Kana Malick , Condor Roland
Published: December 2024

This chapter examines the crucial importance of microfinance in the agricultural supply chains of developing countries. The study aims to determine the impact of microfinance on agricultural activities in Dapaong city in northern Togo. We used a case study approach by conducting semi-structured interviews with a representative group of 15 local farmers. We found that microfinance plays a key role in funding new projects and improving farmers' living and working conditions. However, agricultural financing is still limited due to the risks and specific challenges of rural areas. Additionally, microfinance hasn't yet helped farmers shift to more eco-friendly practices, as many still use chemical inputs. Consequently, microfinance does not fully contribute to the sustainability of global supply chains. Therefore, additional funds are necessary to enable this transition.
Applications, Advantages, and Challenges of Artificial Intelligence in Agriculture
Authors: Sharma Aparna , Tewari Anurag , Bansal Ajit
Published: December 2024

The economy is significantly influenced by agriculture. Globally, the primary issue and burgeoning topic is agriculture mechanization. The population is growing at an exponential rate, which is simultaneously driving up demand for jobs and food. For the farmers to meet these needs, the conventional techniques they employed were insufficient. New automated techniques were consequently introduced. The utilization of Artificial intelligence technique has protected agricultural productivity from various threats, such as rising populations, changing climates, employment difficulties, and problems with food safety. Architectures based on machine learning have been confirmed to be among the best regarding precision and resilience. By using systems based on AI, crop yields can be increased while using less water, fertilizer, and pesticides. Besides improving worker safety, intelligent expertise can support in reducing its consequence on expected ecosystems, which will help keep food costs low and ensure more crops are grown to feed the world's expanding population.
Understanding Student Engagement in AI-Powered Online Learning Platforms
Authors: Garcia Manuel B. , Goi Chai Lee , Shively Kate , Maher Damian , Rosak-Szyrocka Joanna , Happonen Ari , Bozkurt Aras , Damaševičius Robertas
Published: December 2024

Online learning has become fundamental to modern academic and professional development. Amidst its widespread adoption, there is increasing integration of artificial intelligence (AI) to enhance the learning experience. Understanding student engagement within these AI-powered digital platforms is crucial, as it directly influences learning outcomes and satisfaction. This chapter provides a narrative review of key theories and models essential for analyzing engagement in virtual learning contexts. Particularly, it focuses on constructivist learning theory, social learning theory, cognitive load theory, flow theory, technology acceptance model, self-determination theory, cognitive theory of multimedia learning, and feedback intervention theory. By examining these frameworks through an epistemological lens, the chapter explores how knowledge acquisition, cognitive processing, and social learning principles interact within AI-enhanced educational contexts. The insights reported here can serve as a guide for optimizing AI to maximize student involvement and educational efficacy.
Developing Identity With Technology in the Kindergarten Classroom
Authors: Stepp Courtney
Published: December 2024

This chapter describes various ways technology, such as iPads and Promethean boards, is integrated into the kindergarten classroom and its impact. It includes stories of how and why the author chooses how technology is integrated and how their own learning, particularly about race and equity, has impacted their decisions in their educational setting. The chapter describes how the author creates learning experiences designed to provide students with the opportunity to explore their identities as digital citizens.
Implications of Virtual Credit Recovery on High School End-of-Course State Exams
Authors: Griffith LaKeisha , Gierhart Aaron R. , Acharya Parul
Published: December 2024

In the State of Georgia, high schools must administer End-of-Course (EOC) exams to students enrolled in the specific courses for accountability purposes. Students who fail these exams must retake the course until credit has been successfully earned. Through an analysis of paired pre-test/post-test data from a Georgia high school between the 2021-22 and 2022-23 academic years, this study examined the influence of virtual credit recovery courses on high school student achievement on four focal EOC exams for students who initially failed a course. Findings indicated that virtual credit recovery had a statistically significant effect on student EOC exam scores, though none resulted in a mean score of proficient or above, indicating that these students may not have been prepared for subsequent coursework nor prepared for postsecondary coursework and future career paths. Conclusions and implications for course design are presented, including how artificial intelligence may be leveraged in virtual credit recovery courses in the future.
Artificial Intelligence and Student Engagement
Authors: Singh Partap
Published: December 2024

Artificial Intelligence (AI) is revolutionizing education by significantly enhancing student engagement. This study examined the impact of AI-driven technologies, such as personalized learning algorithms, intelligent tutoring systems, and AI chatbots on student learning experiences in a postsecondary undergraduate and graduate education setting. Key findings reveal that AI improves engagement through personalization, timely feedback, and interactive learning environments. AI's adaptive capabilities, which tailor content to individual needs, play a major role in fostering deeper student involvement. However, challenges such as data privacy, ethical concerns, and the need for equitable access to technology remain prevalent. This study underscores AI's transformative potential while recognizing the complexities of its ethical and practical implementation in educational contexts.
Using Multi-Touch Interactive Whiteboards by High School Teachers to Promote Active Student Participation in the Classroom
Authors: Croft Michael , Solano Gina Lynn
Published: December 2024

Teachers have seen that there is an increasing lack of student participation in the classrooms. The purpose of this research study was to discover how the use of interactive whiteboards by high school teachers affects participation in the classroom. The participants of this study were high school teachers. Data was collected using a digital questionnaire consisting of open-ended questions sent to the teacher participants, a focus group interview at the conclusion of the study, and a set of three teacher observations of classroom use of the interactive whiteboard. The results demonstrate the ability of interactive whiteboards to increase active participation by students. A secondary result showed a need for additional teacher training to show specific applications of interactive features. These results provide teachers of all subject areas meaningful ways to utilize the interactive whiteboard in a hands-on manner to increase active student participation during in-person lessons.
From Barriers to Bridges
Authors: Wester Danielle
Published: December 2024

Various digital innovations have been used in schools across the country to support both academic and social language development for students with limited English proficiency. These programs have, in many circumstances, been considered to be a supplemental support or intervention. However, technological advancements now allow educators to implement these programs, websites, and applications within classrooms, making academic and social impacts on instruction, grading, and assessment of students in English to Speakers of Other Languages (ESOL) programs. Technology has also simplified communication between teachers and families. Examples from the author's first year as an ESOL teacher shared in this chapter demonstrate how digital innovations can lead to meaningful, equity-oriented outcomes for language learners, their families, and classroom teachers.
Taxonomy of Cyber Security and Cloud Computing
Authors: Dhanalakshmi P. , Prathyusha G. , Balakrishna N. , Balaji Viswaksena , Avanija J. , Goundar Sam
Published: December 2024

At present the world has moved to cyber space with latest technologies and different network systems. To protect the systems, files and data in a network cyber security play a key role in the digital world. The cyber security is most essential technology for protecting organization, financial and industry data securely from attackers to maintain sensitive information. Due to everything is digitalized in the present days there is a lot of data is transferred in terms of documents or files in the cloud. Cloud computing is a new platform to provide different services like infrastructure, software to the different end users based on their demand. So maintaining the data securely in the cloud there is a necessity of finding the different threats in a network and systems for reducing the risks and take effective decisions. In this chapter we discussed about different threats and risks related to cyber security and how to maintain the identity in the cloud based systems.
Issues, Opportunities, and Limitations on the Convergence of Cybersecurity and Cloud Computing
Authors: Kovuri Karthik , Madhavi K. Reddy , Avanija J. , Balaji Viswaksena , Irrigisetty Harshavelu , Varna Chinthapatla Pranay
Published: December 2024

This book chapter looks at the convergence of cybersecurity and cloud computing, emphasizing the importance of securing data and systems in the cloud. It discusses the shared responsibility model for cloud service providers and customers, emphasizing the importance of collaboration in order to ensure comprehensive security. The chapter identifies and addresses various issues in cloud-based system security, such as data loss, insecure APIs, insider threats, and compliance challenges. It also discusses the revolutionary opportunities that result from convergence, such as improved security posture, cloud-native security solutions, advanced threat detection, and improved incident response. The convergence's limitations and considerations, such as the shared responsibility model, data privacy, and reliance on internet connectivity, are also discussed.
Applications of the Convergence of Cyber Security and Cloud Computing
Authors: Prathima Chilukuri , Vyakaranam Venkata Chandraditya , Rajendran Rajesh Kanna , Padmaja Nimmagadda N. , Bharathi M. , Balaji Viswaksena
Published: December 2024

The union of cloud computing and cyber security has become progressively important as organizations rely on cloud-based services for their daily functionalities. Explores the practical applications of this amalgamation, specifically in terms of the pros and cons of incorporating cyber security measures in cloud computing environments. Security of cloud computing and the potential benefits of facilitating cyber security measures. These beneficiaries include refined data protection, increase in transparency and control over network activity, and reduced risk of data breaches. Explores different security models and technologies used in cloud computing environments which includes access control, encryption techniques, and surveillance. Cyber security practices and strategies by cloud computing, including the shift towards risk management and the need for collaboration between cloud providers and customers. Cyber security in cloud computing and provides better insights into best practices for ensuring secure cloud environment.
Re-Assessing Jurisprudential Foundation of Intellectual Property Laws in the Age of Artificial Intelligence
Authors: Singh Bhupinder , Kaunert Christian , Ravesangar Kamalesh , Hammouch Hind , Raghav Anjali
Published: December 2024

Intellectual property laws, historically conceived along the lines of human innovation and creativity that provide individual or entity have done it granting them rights for their invention. The ascendance of IP from jurisprudential foundations to more abstract principles threatens the traditional underpinnings of many legal doctrines; so too will extend certain AI systems. Rise of AI which leading everything from content to designs and even inventions being spat out by machines raises questions about who gets credit for starting it all. Existing IP systems are unclear in defining and resolving questions such as those relating to the AI-generated works scenario where human authorship is not present a fundamental concept within jurisdictions safeguarding only creative work that has been developed by humans. This chapter focuses on the matter that AI evolves quickly, with greater ability to compromise existing IP rights by creating and adapting protected works more rapidly than ever before.
Leveraging Big Data in SMEs
Authors: Mosbah Aissa
Published: December 2024

Scholars who have studied big data in Small and Medium Enterprises (SMEs) often focus on the technicalities/applicability and factors that encourage or inhibit its use. Therefore, the question of “how could SMEs leverage big data in view of their limited resources as compared to large firms?” remains unanswered. This chapter assesses the realities concerning SMEs adoption of big data and proposes guiding measures to help SMEs overcome the impeding challenges and optimize their use, particularly for better decision making. While SMEs limited adoption of big data is attributed to the limited resources, complexity and/or underestimation of their benefits, the main challenges are often cost, data privacy and security, lack of in-house capabilities, lack of IT skills and analytic expertise, and lack of a supportive culture. We argue that a successful big data system must encompass key budgets, IT infrastructure, data architecture, management/governance, security/privacy, data analytics and skilled workforce. Measures of big data's effective application and implications are discussed.
Role of Data Analytics to Sustainability in Apparel Supply Chain Management
Authors: Pal Kamalendu
Published: December 2024

Textile companies have gradually realized that data is essential for improving sales and revenue margins because clothing brands and retailers must develop manufacturing and sale styles that resonate with customers. In recent decades, with advancements in various categories of data analytics and artificial intelligence techniques (e.g., machine learning), the value of data-driven applications has been well acknowledged by textile clothing retailers as they use these predictive software outputs for regular operational decision-making. This chapter reviews retail businesses and their products' manufacturing data analytics and presents a scalable business intelligence framework using a graph data model and its management system. The chapter also highlighted that big data technologies and related supporting resources (e.g., Internet of Things enable capturing, storing, processing, and sharing data) in real-time help to make business operational decisions faster and effective way.
Artificial Intelligence in Data Visualization
Authors: Tevar Oscar Aguado , Díaz-Marcos Luis , Corral de la Mata Daniel Angel , de Blanes Sebastián María García
Published: December 2024

This research examines how generative artificial intelligence, specifically ChatGPT, can transform the analysis and visualization of educational data in the Community of Madrid. Using university enrollment data processed and normalized in SPSS v27, a methodology was designed to integrate traditional statistical tools with advanced AI capabilities. The data were structured to reveal key trends in enrollment across public and private universities and various fields of knowledge. Iterative prompts created visualizations highlighting sustained growth in private institutions and a preference for Social Sciences and Health Sciences. The methodology addressed challenges of time and complexity in data visualization, though some inconsistencies in generated graphs were observed. Findings demonstrate AI's potential to enhance the understanding of complex data and support evidence-based decision-making in educational management. This hybrid approach highlights how AI tools can complement traditional methods, opening new possibilities for academic planning and educational research.
Enhancing Real-World Skills Through Internships
Authors: Ansari Aisha Naz
Published: December 2024

Higher education aims to prepare individuals for real-world challenges by equipping them with the knowledge, skills, and dispositions necessary for employment. However, higher education institutions face significant challenges in aligning with global standards while addressing local needs and socio-economic crises. A holistic learning experience, characterised by experiential learning opportunities such as internships, is crucial for this preparation. This chapter explores the experiences of students, employers, and teachers with internships as a means of developing real-world skills. Using a qualitative approach, the study sampled 10 students, five teachers, and employers from five departments (education, business, computer science, engineering, and medicine). The findings highlight the role of internships in fostering professional success. Internships enhance skill proficiency, assist students in making informed career decisions, and provide practical learning experiences that are often unavailable in traditional classroom settings.
Reinventing Learning
Authors: Chandiok Suniti , Kukreja Jyoti
Published: December 2024

The rapid pace of technological advancements and the ever-changing dynamics of the global job market are prompting a re-evaluation of traditional educational methodologies. As industries evolve and new fields emerge, the skills required for success in the 21st century are undergoing significant transformation. This necessitates a reimagining of educational systems to better prepare learners for the challenges and opportunities of the future. Educators can create more inclusive, effective, and engaging learning experiences by adopting these educational innovations. These advancements not only cater to the diverse needs of students but also prepare them for a future where continuous learning and adaptability are paramount. “Reinventing Learning” serves as a comprehensive guide for educators, policymakers, and stakeholders invested in the future of education, providing them with the insights and tools necessary to navigate and lead in this era of change.
Sustainable Development Effect on Organizational Networks With Mediation of Contingency Theory in the Horn of Africa
Authors: Adula Metasebia , Kant Shashi , Debebe Tigist Shiferaw
Published: December 2024

This chapter investigates how organizational networks are impacted by sustainable development, with a particular emphasis on the mediating function of contingency theory in the Horn of Africa. A survey was conducted with 400 participants, including of sustainability specialists, executives from organizations, and network managers from the Horn of Africa (Somalia, Ethiopia, Eritrea, Djibouti, and Ethiopia). To find the underlying dimensions, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. The data's appropriateness for factor analysis was evaluated using Bartlett's test of sphericity and the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy. The mediating function of contingency theory was subsequently investigated using structural equation modeling (SEM). The results of this research offer significant understandings into how the incorporation of sustainable development concepts might impact the establishment, configuration, and functionality of networks of organizations around the Horn of Africa.