bluuebunny/crossref_metadata_2025 huggingface dataset:
Legal Effectiveness and Legal Functions in Indonesia
Authors: RAHAYU Panggih Rangga , ADIYANTO Bama , MURTI Jentung Wisnu , SETIYONO Aries , KRISTHY Mutia Evi
Published: December 2024

Purpose: This study aims to describe the Effectiveness of Law and Legal Functions in Indonesia. Law serves as justice, certainty and expediency. In the practice of law administration in Indonesia, there are times when there is a conflict between legal certainty and justice. This research will examine the effectiveness of law and legal functions in Indonesia, based on the object of research to be studied, and then this research will be based on positive law.Methodology:This research uses a descriptive qualitative approach with library research methods. Legal certainty is concrete and tangible, while justice is abstract. Therefore, in solving a legal problem, the values of justice must be prioritized.Findings: The results of this study show that the effectiveness of law enforcement in Indonesia is influenced by several factors, namely the legal factors themselves, law enforcement factors, factors of facilities or facilities that support law enforcement, and community factors.Implication:The influence of law and the concept of purpose: It can be said that the concept of influence means the attitude of action or behavior associated with the rule of law in reality, a positive effect or effectiveness that depends on the purpose or purpose of the rule of law. A legal purpose is only sometimes identically stated in a rule and is not necessarily the real reason for the rule-maker.
Iran's Hypersonic Missile Attack on Israel and Its Impact on Geopolitics and Oil Prices
Authors: SULISTYAWATI Laeny , HANGGARINI Peni
Published: December 2024

Purpose:This paper explores Iran's missile attacks on Israel in April 2024 and October 2024 that have had an impact on the Middle East. On October 1, 2024, more than 180 ballistic missiles were fired into the skies of Israel. Iran officially admitted firing hypersonic missiles into Israel in retaliation for Israel's campaign against Iran's ally Hezbollah in Lebanon.Methodology:The research method used in this paper is qualitative descriptive-analytical. Qualitative method: Data is collected from literature studies in the form of books, articles, news, internet-based studies, digital books, previous research, journals and other relevant sources and previous research.Findings:The conflict between Iran and Israel has been going on for a long time, since the Islamic revolution in 1979. The conflict between the two countries has heated up again due to ballistic, cruise, and hypersonic missile attacks on Israel. Iran's attacks have angered Israel because they caused damage in 10 locations. Iran's latest sophisticated missile attacks, such as hypersonics, have damaged Israel and caused losses of Rp827 billion.Implication:International relations regarding geopolitics and complex interdependence. Practically, the results of this study provide insight for stakeholders of countries in the Middle East in formulating more comprehensive policies to respond to changing dynamics in the region.
Zülfü Livaneli’nin Kardeşimin Hikâyesi Romanına Psikanalitik Bir Yaklaşım
Authors: Yılmaz Ülkü
Published: December 2024

Edebiyat ve psikoloji temelde insanı ele almaları bakımından yakın ilişki içindedirler. Edebiyat ve psikoloji arasındaki ilişkinin bilim olarak ortaya çıkıp ele alınması, edebi eserdeki psikolojik unsurların belirlenmesi Freud’la başlar ve sonrasında psikolojinin önde gelen isimleri bu ilişkiyi destekleyen araştırmalar yapmaya devam ederler. Freud’la başlayan psikanalitik açıdan yapılan incelemeler zaman içinde değişime uğrayarak yazar odaklı olmaktan çıkıp eseri merkeze alan bir hüviyet kazanmıştır. Çalışmamızda Zülfü Livaneli’nin Kardeşimin Hikâyesi adlı romanı psikanalitik eleştiri kuramı çerçevesinde eser merkezli incelenmiştir. Bu bağlamda yazarın kişisel hayatından ziyade eserin başkişisinin psikolojik durumu tahlil edilmiştir. Diğer roman kişileri de başkişi ile ilişkileri nispetinde psikolojik açıdan değerlendirilmiştir. Çalışmamızda psikolojik incelemeye geçmeden önce eser hakkında kısaca bilgi verilip ardından roman özetlenmiştir. Devamında ise roman kişilerinin ruhsal durumları kurmaca karakterler değil de gerçek insanlarmış gibi psikanalitik açıdan incelenmiştir. Buna göre roman başkişisinin ve incelemeye konu olan diğer roman kişilerinin çocukluk ve yetişkinlik dönemlerinde yaşadığı ruhsal ve fiziksel travmaların psikolojileri üzerindeki etkisi incelenmiştir. Bu çalışma sırasında başta Sigmund Freud olmak üzere Carl Gustav Jung, Irvin D. Yalom, Karen Horney, Otto Rank, gibi psikanalistlerin teorik bulgularından faydalanılmıştır.
Formation Rate of Quasiperiodic Eruptions in Galactic Nuclei Containing Single and Dual Supermassive Black Holes
Authors: Cao Chunyang , Liu F. K. , Chen Xian , Li Shuo
Published: December 2024

Quasiperiodic eruptions (QPEs) are a novel class of transients recently discovered in a few extragalactic nuclei. It has been suggested that a QPE can be produced by a main-sequence star undergoing repeated partial disruptions by the tidal field of a supermassive black hole (SMBH) immediately after getting captured on a tightly bound orbit through the Hills mechanism. In this Letter, we investigate the period-dependent formation rate of QPEs for this scenario, utilizing scattering experiments and the loss-cone theory. We calculate the QPE formation rates in both a single-SMBH and a dual-SMBH system, motivated by the overrepresentation of postmerger galaxies as QPE hosts. We find that for SMBHs of mass 106–107
M
⊙, most QPEs formed in this scenario have periods longer than  ≃ 100 days. A single-SMBH system generally produces QPEs at a negligible rate of 10−10–10−8 yr−1 due to inefficient two-body relaxation. Meanwhile, in a dual-SMBH system, the QPE rate is enhanced by 3–4 orders of magnitude, mainly due to a boosted angular momentum evolution under tidal perturbation from the companion SMBH (galaxy). The QPE rate in a postmerger galactic nucleus hosting two equal-mass SMBHs separated by a few parsecs could reach 10−6–10−5 yr−1. Our results suggest that a nonnegligible fraction (≃10%–90%) of long-period QPEs should come from postmerger galaxies.
Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning
Authors: Gruchola Salome , Schmidt Peter Keresztes , Tulej Marek , Riedo Andreas , Mezger Klaus , Wurz Peter
Published: December 2024

In situ mineralogical and chemical analyses of rock samples using a space-prototype laser ablation ionization mass spectrometer along with unsupervised machine learning are powerful tools for the study of surface samples on planetary bodies. This potential is demonstrated through the examination of a thin section of a terrestrial rock sample in the laboratory. Autonomous isolation of mineral phases within the acquired mass spectrometric data is achieved with two dimensionality reduction techniques: uniform manifold approximation and projection (UMAP) and density-preserving variation of UMAP (densMAP), and the density-based clustering algorithm Hierarchical Density-Based Spatial Clustering of Applications with Noise (HDBSCAN). Both densMAP and UMAP yield comparable outcomes, successfully isolating the major mineral phases fluorapatite, calcite, and forsterite in the studied rock sample. Notably, densMAP reveals additional insights into the composition of the sample through outlier detection, uncovering signals from the trace minerals pyrite, rutile, baddeleyite, and uranothorianite. Through a grid search, the stability of the methods over a broad model parameter space is confirmed, revealing a correlation between the level of data preprocessing and the resulting clustering quality. Consequently, these methods represent effective strategies for data reduction, highlighting their potential application on board spacecraft to obtain direct and quantitative information on the chemical composition and mineralogy of planetary surfaces and to optimize mission returns through the unsupervised selection of valuable data.
Unexpected temnospondyl diversity in the early Carnian Grabfeld Formation (Germany) and the palaeogeography of metoposaurids
Authors: Moreno Raphael , Chakravorti Sanjukta , Cooper Samuel L. A. , Schoch Rainer R.
Published: December 2024

The Middle–Late Triassic Grabfeld Formation formed in a generally arid, hostile setting with frequent evaporation under alternating sabkha and playa conditions. Here we report evidence of four temnospondyl taxa from the upper part of the sequence (‘Bunte Estherienschichten’), including (1) Metoposaurus sp., (2) a capitosaur, (3) Gerrothorax sp. and (4) Plagiosternum sp. This early Carnian assemblage provides the stratigraphically oldest evidence of metoposaurids and the last report of plagiosternines in the Central European Basin. The stratigraphic age of these strata and the occurrence of Metoposauridae therein sheds new light on the palaeogeographic distribution of the group and their occurrence before the Carnian Pluvial Event.
Growing giants: ontogeny and life history of the temnospondyl Mastodonsaurus giganteus (Stereospondyli) from the Middle Triassic of Germany
Authors: Schoch Rainer R. , Witzmann Florian , Moreno Raphael , Werneburg Ralf , Mujal Eudald
Published: December 2024

The Middle Triassic capitosaur Mastodonsaurus giganteus was the largest temnospondyl and the dominating aquatic predator in many European freshwater to brackish ecosystems. It is represented by numerous size classes, which are described and analysed for the first time. The documented size range encompasses specimens between 12–15 mm and 1200 mm in skull length. Early growth stages are restricted to dentaries and interclavicles, whereas juveniles are represented by partial skulls, mandibles, and girdles. The smallest specimens already possessed diagnostic features of the taxon, and small juveniles also shared the dermal ornament with larger specimens. The heavy, disc-shaped intercentra were established early in the juvenile phase. Cranial proportions were remarkably conservative throughout ontogeny, with the orbits proportionately decreasing in size only very moderately, the postorbital skull becoming slightly longer and the occipital margin more concave in the largest forms. Analysis of frequency distributions of M. giganteus in different Lower Keuper deposits in southern Germany reflects habitat preferences in specific phases of its life cycle. The coal-bearing deposit at Gaildorf yielded unusually large specimens with relatively well-ossified appendicular skeletons. In the more common lake shore facies, only adult specimens are present. In turn, juveniles might have dwelled in calmer environments. Smaller lakes were apparently less attractive than larger or deeper water bodies that provided sufficient resources for several temnospondyls, and juvenile specimens have been identified from all of them. The diverse actinopterygian fish fauna provided prey for all growth stages of the large temnospondyl predators.
The start of the scientific journal ‘Fossil Record’
Authors: Schultze Hans-Peter
Published: December 2024

This article describes the early years of the journal Fossil Record and the circumstances at the Museum für Naturkunde and the Humboldt University Berlin under which the foundation of the journal took place. The former Department of Palaeontology of the Museum für Naturkunde had a strong interest to publish its own scientific journal, and this led to the foundation of the journal in 1998 which is known today as Fossil Record. For reasons of a corporate similar appearance it was decided that the new journal as well as the two older scientific journals of the Museum für Naturkunde use the common title Mitteilungen aus dem Museum für Naturkunde in Berlin (Communications from the Museum of Natural History in Berlin) with subtitles for all three journals: Geowissenschaftliche Reihe for the palaeontological journal, Zoologische Reihe for the zoological journal and Deutsche Entomologische Zeitschrift for the entomological journal. With volume 9 (2006), the palaeontological journal appeared under the new title Fossil Record. From the beginning it was a goal of the editors to reach the international community by opening the journal to authors outside the museum and by publishing mainly in English. The palaeontological journal Fossil Record has developed from an in-house journal with international contributions to an internationally well cited journal.
Islands of lichen diversity in urban environments: a hidden richness in botanical gardens
Authors: Fačkovcová Zuzana , Spagli Giorgia , D’Antraccoli Marco , Roma-Marzio Francesco , Peruzzi Lorenzo , Paoli Luca , Guttová Anna
Published: December 2024

Botanical gardens in city centres are green islands, offering a sanctuary for diverse plant and fungal species amidst urban landscapes. Although lichens are not usually a primary focus in botanical gardens, these spaces can serve as important refuges. In this work, the epiphytic lichen biota has been investigated in the Botanic Garden of Pisa, to uncover the hidden elements of biodiversity of botanical gardens in terms of non-target organisms. A total of 57 epiphytic lichen taxa and one non-lichenized fungus were recorded, including several threatened species. Two species, Arthopyrenia platypyrenia and Coenogonium tavaresianum, are new records for Tuscany, while Lecania cyrtellina is so far known in the region as occurring only in the Botanic Garden of Pisa. Lichen colonization reflects the richness of tree species, while the diffused presence of nitrogen-tolerant lichens could be associated with urban environmental conditions. Comments on Arthopyrenia platypyrenia, Coenogonium tavaresianum, Gyalecta liguriensis, Lecania cyrtellina, Lecanographa amylacea, Micarea misella, Porina borreri, and Waynea stoechadiana are given.
Mapping new Ottoman heritage tourism routes in North Macedonia: A supply-side approach
Authors: Petrevska Biljana , Andreeski Cvetko
Published: December 2024

North Macedonia possesses a rich cultural heritage dating back to the Ottoman period (14th–19th century). This heritage is evident in various architectural structures such as bazaars, bridges, hammams, clock towers, and mosques. While some of these sites are actively used for tourism, many remain untapped, each offering unique historical, cultural, and architectural significance. This study explores the potential of developing Ottoman heritage tourism products in North Macedonia. The research aims to identify and establish new tourism routes in the Northeast, East, and Southeast regions, by adopting an experiential approach. Through in-depth interviews with informants experienced in tourism, the study utilizes spatial intuition to map significant sites and designs routes highlighting the richness of Ottoman heritage. The research identifies Kratovo, Shtip, and Strumica as key cities within these regions, serving as pivotal points for the proposed routes. The study reveals that informants strongly believe that Ottoman heritage tourism can attract visitors, foster cultural understanding, and contribute to local economic development. The core appeal of these routes lies in the authenticity, unique aesthetics, architectural significance, and educational value of the Ottoman heritage sites. This study contributes to the existing literature by emphasizing the value of Ottoman heritage and advocating the critical importance of its preservation. From a practical standpoint, the proposed routes, interconnected across three regions, cater to diverse visitor interests and might offer a unique tourism experience.
Pratiques alimentaires et expériences du vieillissement en milieu urbain, Abidjan
Authors: Aka Alladé Frédéric , Oulahi Taté Roger , Kouadio Abo Jean-Franck , Bogro Arsène
Published: December 2024

La présente étude analyse les pratiques alimentaires des personnes âgées de 65 ans et plus, en contexte de vie à domicile, en milieu urbain. Elle vise à rendre compte des diverses expériences du vieillissement dans le rapport à l’alimentation. Un échantillonnage à choix raisonné a permis de sélectionner 14 seniors dans la commune de Yopougon et 7 dans la commune de Koumassi. Au total, 21 entretiens ont été réalisés du 18 au 25 septembre 2023. Il ressort de cette analyse trois faits majeurs : l’avancée en âge et le discours de santé publique influencent les habitus alimentaires des personnes âgées ; une difficulté d’accès à certains produits alimentaires eu égard à la baisse de leur pouvoir d’achat ; les acteurs familiaux intervenant auprès des personnes âgées jouent un rôle important dans leurs expériences de vieillissement, notamment en matière d’alimentation. Ces résultats sont utiles pour une prise en charge alimentaire des seniors.
Effect of changing the alternating electric current frequency on the viability of human liver cancer cell line (HEPG2)
Authors: Fahmy Moataz M. , El-Kholey Sohier M. , Elabd Seham , Shawki Mamdouh M.
Published: December 2024

Different effects of alternating electric currents (AC) on biological materials have been observed depending on the frequency used. Extremely low frequencies (less than 1 KHz) produce electro-endocytosis at 500 Hz because of membrane depolarization. Intermediate frequencies coincide with tiny particle alignments and cell rotations (also known as the pearl chain effect), thus leading to the tumor-treating fields at 100–300 KHz. High frequencies (i.e., above several MHz) cause tissue heating to predominate due to the dielectric losses. This study investigates how exposure to a wide range of AC electric field frequencies affects the permeability and viability of hepatocellular carcinoma HEPG2 cells. With two silver/silver chloride electrodes, the cells were exposed to a square pulse with a magnitude of 0.4 V/cm at various frequencies between 1 Hz and 1 MHz. A dielectric properties measurement, flow cytometry analysis, fluorescent microscopy, and a polymerase chain reaction (PCR) gene expression analysis were performed. The results showed that all the exposed groups experienced a great reduction in the normal cells, with a clear increase in necrosis and apoptosis compared to the control group. It was noticed that the anti-tumoral effect of the examined frequency range was maximum at 10 KHz and 100 KHz. The permeability was increased in the groups exposed to frequencies above 1 kHz. The viability and permeability results were correlated to the electric relative permittivity, electric conductivity, and gene expression of cyclins A, B, and E.
Research on the wealth management fees of defined contribution pensions during the pre-retirement stage
Authors: Sun Zongqi , Yang Peng , Wang Ying , Lu Jing
Published: December 2024

In this paper, by enhancing the penalty coefficient, the general square loss criterion was modified into a novel criterion to more precisely identify risks and returns. Then, under this criterion, the ideal asset allocation for pension fund participants was investigated considering wealth management fees before retirement. Then, the Hamilton-Jacobi-Bellman (HJB) equation was formulated through the dynamic programming approach, and both the optimal investment strategy and minimum loss function were determined using calculus methods. Finally, how important parameters affect the initial optimal investment strategy and minimum loss function was analyzed, their economic implications were explained, the rationality of the model was validated, and several recommendations for management were provided.
Another special role of $ \mathrm{L}^\infty $-spaces-evolution equations and Lotz' theorem
Authors: Budde Christian
Published: December 2024

In this paper, we review the underappreciated theorem by Lotz that tells us that every strongly continuous operator semigroup on a Grothendieck space with the Dunford-Pettis property is automatically uniformly continuous. A large class of spaces that carry these geometric properties are $ \mathrm{L}^\infty(\Omega, \Sigma, \mu) $ for non-negative measure spaces. This shows once again that $ \mathrm{L}^\infty $-spaces have to be treated differently.
Epileptic seizure detection in EEG signals via an enhanced hybrid CNN with an integrated attention mechanism
Authors: Mekruksavanich Sakorn , Phaphan Wikanda , Jitpattanakul Anuchit
Published: December 2024

Epileptic seizures, a prevalent neurological condition, necessitate precise and prompt identification for optimal care. Nevertheless, the intricate characteristics of electroencephalography (EEG) signals, noise, and the want for real-time analysis require enhancement in the creation of dependable detection approaches. Despite advances in machine learning and deep learning, capturing the intricate spatial and temporal patterns in EEG data remains challenging. This study introduced a novel deep learning framework combining a convolutional neural network (CNN), bidirectional gated recurrent unit (BiGRU), and convolutional block attention module (CBAM). The CNN extracts spatial features, the BiGRU captures long-term temporal dependencies, and the CBAM emphasizes critical spatial and temporal regions, creating a hybrid architecture optimized for EEG pattern recognition. Evaluation of a public EEG dataset revealed superior performance compared to existing methods. The model achieved 99.00% accuracy in binary classification, 96.20% in three-class tasks, 92.00% in four-class scenarios, and 89.00% in five-class classification. High sensitivity (89.00–99.00%) and specificity (89.63–99.00%) across all tasks highlighted the model's robust ability to identify diverse EEG patterns. This approach supports healthcare professionals in diagnosing epileptic seizures accurately and promptly, improving patient outcomes and quality of life.
Traces of ancient glaciations in karst environment - a case study in the Venetian Prealps
Authors: Sauro Ugo
Published: December 2024

To reconstruct the ancient glaciations of a mountainous area, it is necessary to consider together, in their topographic contexts, the forms of erosion and those of accumulation, aiming to model the relative glacial systems, which can be understood on the basis of the interrelationships between the various forms. In the karst areas, the forms of glacial erosion are often easily recognizable, given that the geomorphological dynamic favours their conservation. The very ancient deposition forms, on the other hand, are hardly detectable or absent given that chemical erosion contributes to the decrease in volume of the moraines until their total disappearance. As an exemplary case, the relict forms of the ancient local glacial system of Valon del Malera, developed in jurassic limestone and Main Dolomite (Dolomia Principale), partly preserved in the Lessini Mountains (Prealpi Venete, NE Italy) and partly in the nearby Carega massif (Piccole Dolomiti), are illustrated. The forms of erosion document the dismantling of a segment of a glacial valley due to accelerated erosion phenomena attributable to active tectonics along an important fault system. Other segments of the trough-shaped glacial valley are very well preserved. On the other hand, forms resulting from the “over-imprinting” of some ancient morainic ridges are detectable, due to the fact that in favourable cases the morainic cover has reduced the rate of lowering at the cover-rock interface of the underlying limestone, in comparison with the surrounding rocky surfaces not covered by till deposits, causing the formation of rocky ridges. However, the temporary aquifer hanging within the moraine has favoured the development of grike type covered Karren in the limestone, with isolated spikes or pillars of rock. Ridges mainly or totally formed by rock in place are described, which, according to all evidence, seem to be the result of the “over-imprinting” by ancient moraine ridges partly or totally eroded.
IUGS Recognition of the Račiška Pečina Cave section as a Global Geological Heritage Site
Authors: Zupan Hajna Nadja
Published: December 2024

Račiška Pečina, a limestone cave in the Classical karst in southwestern Slovenia, which belongs to the External Dinarides (Slovenian Cave Register No. 935; 45°30’12.10’’N; 14°09’00.83’’E; 609 m a.s.l.), has received international recognition for its exceptional sedimentary section. The cave’s sediments, which span 3.4 Ma, provide a continuous and detailed record of climate, environmental and paleomagnetic changes. This unique archive of the Earth’s history has earned Račiška Pečina a place among the “Second 100 IUGS Geological Heritage Sites”, an award announced by the International Union of Geological Sciences (IUGS) at the 37th International Geological Congress in Busan, South Korea.
Charting New Territories
Authors: Aldosemani Tahani , Lytras Miltiadis D.
Published: December 2024

This chapter sets the stage for innovative educational frameworks by outlining the essential skills and competencies needed in today's rapidly evolving world. It emphasizes the necessity of a holistic, integrated approach to education that combines critical thinking, creativity, collaboration, and communication. By examining current trends and challenges in modern education, this introduction invites educators, administrators, and stakeholders to rethink traditional methodologies and embrace transformative practices that align with the demands of the 21st century. The focus on inclusivity and adaptability is crucial for fostering an educational landscape that prepares learners for both personal and professional success.
Participatory Strategic Foresight Framework
Authors: Khamis Noha Essam
Published: December 2024

Changes in society and technology continue to shift the ways in which we learn. The contemporary state of design education is being affected by changes in the professional realm that requires a future thinking-centered design to increase the citizen participation in designing their own future. As new forces reshape the academic landscape and conversations around educational accessibility pervade public debate, examining existing methodologies of design research is significant. This chapter reviews the literature crossing strategic foresight with the accentuation on how educators and design practitioners may engage with the future. A framework crossing the area of service & product design through future thinking has been developed. The framework is structured to educate design practitioners and empower them as change-makers. This paper will present case studies of participatory design workshops. Through this framework, conclusion is presented as the elaboration of a futures thinking framework that can contribute to many other design disciplines.
Critical Thinking in the Age of Algorithms
Authors: Andrae Silvio
Published: December 2024

The traditional concept of critical thinking, which emphasizes the ability to analyze and evaluate information and draw conclusions, is undeniably valuable. However, in an increasingly digitalized and complex world, it is reaching its limits. The emergence of digital tools offers new opportunities to support and deepen the process of critical thinking. It's crucial to note that only a few digital tools are currently available for reflection, the phase that is crucial for critical thinking. Therefore, ensuring the critical selection and sensible use of these tools is essential, encouraging learners to be mindful and deliberate in their choices. The urgency of integrating critical thinking into education systems is clear, as it is crucial to developing skills to question artificial intelligence generated data and check its plausibility in the digital age.
Enhancing Critical Thinking Through Problem-Based Learning
Authors: Raghu N. , V. N. Trupti , L. N. Dayananda , Kumar B. M. Hemanth , Shankaregowda Smitha Ankanahalli
Published: December 2024

The act of teaching is a difficult endeavor that necessitates the resolution of sophisticated challenges and issues that relate to a wide variety of aspects of learning and teaching. The problem-based learning (PBL) approach offers aspiring and certified teachers the opportunity to work together in small collaborative groups within the setting of generative contexts. They work together to assess problems, discuss potential solutions, and make well-informed judgments in order to find solutions to problems that are based on actual teaching settings that involve real-world obstacles with several facets. This corpus of work should be expanded to include research that is directed at teacher education because there has been an increase in the number of project-based learning (PBL) studies that have been implemented in classrooms. Educational reform is being implemented and both new and veteran teachers are being required to meet the expectations of a profession that is notoriously difficult.
Intelligent IoT and Quantum Computing Enabled 3D Printed Hand for Sewage Block Detection and Clearance
Authors: Sathish Kumar B. , Theivanathan G. , Sunel V. , Yokeshvaran M. K. S.
Published: December 2024

This project aims to develop a 3D printed robotic arm that uses an Arduino microcontroller and a gas sensor to remove blockages in drainage systems. The arm is designed to navigate through narrow pipes and use a combination of suction and manipulation to remove debris and blockages. The arm is controlled by an embedded system, which utilizes the Arduino microcontroller and gas sensor to detect the presence of blockages and trigger the necessary actions to remove them. The use of 3D printing technology allows for the creation of a lightweight, compact and customizable arm, while the gas sensor enables the system to detect blockages in real-time. This system has several advantages over the traditional methods of sewage blockage detection and clearance. This system reduces the need for human intervention and makes the system safer for workers. It is also more versatile and can be used in variety of environments.
Quantum Computing-Based Audio Source Separation Using Deep Learning Networking Principles
Authors: Subramanian Sayuj , Ceronmani Sharmila V. , Bondala Rohit , Das Aryan
Published: December 2024

Audio source separation is a challenging problem that involves isolating individual sources from a mixture of sounds. To combat the high difficulty in this endeavour, deep learning emerged as a powerful tool, under various architectures and techniques such as CNN, CDAE, End-to-End Deep learning Framework, and so on. One such framework is the ‘Unsupervised Model-based Deep learning Approach'. This approach uses a differentiable parametric source-filter. During training, the neural network estimates the parameters of the source model by using the fundamental frequencies provided as part of the training data to construct the given mixture as a sum of various sources. This model along with the use of a 4-channel microphone is able to isolate sources and provide directional information as well as combat the ‘Cocktail party effect'.
Quantum-Inspired Neurofeedback Mechanism for Stress Detection Using EEG Signals
Authors: Singh Divya , Senthil Kumar G. , Agrawal Sanskar
Published: December 2024

Stress, is a psychological experience representing the body's response to immune system activation and perceived danger, has emerged as a critical issue, particularly amid the global spread of Covid-19. While various techniques such as PET, ECG, EMG, and MRI exist for stress detection, this paper focuses on leveraging electroencephalography (EEG) signals within a quantum computing framework. We present a comparative analysis of stress detection methods utilizing EEG signals, with a particular emphasis on quantum-inspired approaches. Furthermore, we propose a real-time neurofeedback solution based on quantum computing principles to offer a quantitative assessment of stress levels. By integrating quantum computing concepts into stress detection and management, our research not only contributes to personal health but also extends to applications in stress-related mental health and clinical knowledge. Moreover, it advances the field of neuroethology by exploring the intersection of quantum technology and cognitive health.
Self-Orienting Solar Panel With IoT and Quantum Computing
Authors: Subramanian G. , Ponnrajakumari M. , Yogeshwaran K. , Diyyala Govardhan Naidu
Published: December 2024

There is a growing emphasis on renewable energy sources like solar energy as the globe struggles with issues of environmental consciousness and energy sustainability. To guarantee maximum performance, solar panels, a crucial part of solar energy systems need to be effectively monitored. This project suggested a solar panel monitoring system that is Internet of Things (IoT) and quantum computing based and incorporates several sensors to keep an eye on vital indicators including panel voltage, temperature, and humidity. For real-time monitoring and analysis, the system transmits sensor data to a central IoT platform via an Arduino controller. The main components of the monitoring system include temperature and humidity sensors to measure environmental conditions, a voltage sensor to measure power output, and a light-dependent resistive sensor (LDR) to monitor solar radiation.
Application of Digital Technologies in Agri-Supply Chain
Authors: Pathak Pankaj , Damle Madhavi , Dange Pravin , Pillai Samaya
Published: December 2024

Agricultural supply chains are undergoing a huge change due to the advancements in digital technology. These technologies have triggered the unknown concepts of sustainability, efficiency, and transparency. The integration of digital technologies like the big data analytics, blockchain, artificial intelligence (AI), and the Internet of Things (IoT) in agricultural supply chains is discussed in the chapter. IoT devices provide for precision farming and less resource waste. Blockchain technology improves transparency and traceability guaranteeing food safety. It also enables to confirm the calibre of agricultural products. Big data analytics is helpful in the better decision-making. All these technologies address the major issues facing the agriculture industry. The issues include resource management, climate change, and food security. But the technology adoption has its own challenges. It is necessary to address issues including data protection, farmers' digital literacy, and the large upfront costs associated with implementing new technologies.
Generative Artificial Intelligence and Postsecondary Education
Authors: Gierhart Aaron R. , Shefferly Nancy , Li Yue , Speetzen Erin
Published: December 2024

Employing generative artificial intelligence (GAI) for educational purposes has implications for both pedagogy and policy. Many postsecondary educators fear GAI will prevent students from developing the necessary skills that are typically associated with graduates of higher education institutions and prohibit valid assessment of course- and program-level objectives. However, GAI also offers affordances for ensuring student accessibility as they seek to engage in literacy and social practices indicative of their disciplines and future careers. In this chapter, the authors discuss approaches and considerations for leveraging GAI in postsecondary education in ways that align with the Universal Design for Learning (UDL) Guidelines. They also share flowcharts developed at their institution to support instructors' development of course policies and assignments with consideration for GAI.
Fostering Innovation
Authors: Asrifan Andi , Junaedah Junaedah , Ghofur Abd. , Nashirudin Muh
Published: December 2024

Digital technology professional development (PD) in P-16 education is discussed in this chapter. Social, economic, and institutional intelligence must be integrated to educate pupils for a technology-driven future. The chapter discusses how educational technology has evolved from rote behaviorism and computer-based drills to reflective use, addressing issues including insufficient training and resources. The chapter provides a comprehensive overview of strategies and approaches to help educational institutions create a robust PD framework, ensuring that current and future educators can effectively utilize digital technologies in their teaching practices. The importance of specialized guidance, constant learning, and collaboration to integrate digital tools into classroom activities is discussed. The chapter emphasizes improving instruction and student outcomes and preparing educators to use digital technologies. The ultimate goal is to incorporate digital technologies into learning environments, promoting innovation and educating students for a knowledge-based global society.
Examining the Intersections of Traditional Learning, Character Education, and Educational Technology
Authors: Jagielski Donna
Published: December 2024

This case examines how elementary education majors at a private Christian university prepare to implement educational technology into the capstone classroom management plan assignment using SAMR and TPACK frameworks. Also, the emphasis placed on character education and education majors' preference to be placed in traditional Christian-focused schools as part of field experience/practicum hours in preparation is unique to the Christian university setting. The classical/traditional school model's emphasis on literature and teacher-directed instruction prompted this study to equip preservice teachers with research-based frameworks to make informed decisions about instructional technology use. Based on the exploratory findings, adjustments in the instructional approach using such educational technology frameworks, particularly in classroom management courses, will be implemented during the next semester.
Integrating Federated Learning for Edge Intelligence in Cybersecurity and Cloud Computing
Authors: Avanija J. , Ramrao Nagaraj , Madhavi K. Reddy , Goundar Sam , Balaji Viswaksena , Hasini Alluri Amrutha
Published: December 2024

The fusion of Federated Learning and Edge Computing has opened up new horizons for intelligent, secure, and efficient data processing. This chapter provides an in-depth exploration of “Federated Learning for Edge Intelligence.” It explores into the fusion of decentralized machine learning with edge devices, highlighting the important aspects of privacy protection and real-time data analysis. The chapter examines the components, workflows, and practical applications of this transformative technology. The real-world use cases presented discuss how this technology is already revolutionizing industries like healthcare and predictive maintenance. Furthermore, the chapter also explores the challenges and considerations in deploying Federated Learning at the edge.
Secured and Privacy-Preserved Aggregation of Data in Edge Computing Using Blockchain-Based Secured Aggregation (BSA)
Authors: Dhinakaran D. , N. Jagadish Kumar , V. Vinoth Kumar , S Lakshminarayanan , Selvaraj D.
Published: December 2024

By processing data closer to where it is generated, edge computing increases response times and saves bandwidth. But it poses important data aggregation and privacy concerns. This chapter presents an algorithm named Blockchain-Based Secured Aggregation (BSA) that focuses on solving these problems leveraging blockchain technology, Homomorphic Encryption (HE), and Secure Multi-Party Computation (SMPC). Data integrity and privacy are protected by the BSA algorithm using HE which enables encrypted computations and SMPC that enforces secure aggregation without exposing individual data. Blockchain offers a way to store information in an immutable way and to manage access through transparency, by using smart contracts. The evaluation of the performance indicates that the BSA algorithm is both efficient and scalable. System throughput reaches up to 121 transactions per second (Tps) at a send rate of 1000 Tps, with transaction latency under 9 seconds at high volumes.
A Research Based on Data Security and Privacy in Cloud Computing
Authors: Şanal Aybüke , Bakır Çiğdem
Published: December 2024

Cloud computing is a rapidly developing area today. Cloud computing allows users to access computer system resources, data storage and calculation power according to users' needs. The fact that cloud computing is low cost, high performance, flexible, and does not require physical materials ensures that cloud computing is preferred by many institutions. Cloud computing brings many risks in terms of privacy, protection of personal data and data safety. These risks are one of the most important problems that prevent users from the transition of users and organizations to cloud cognition. In this study, the structural features of cloud computing, service and distribution models, advantages and disadvantages were examined. At the same time, the attacks on security, privacy and privacy for cloud cognition are explained in detail in the solutions developed for them. The studies carried out for the safety problems and threats that arise in cloud technologies have been discussed in detail. All solutions developed, especially artificial intelligence methods, have been mentioned.
Cybersecurity Challenges in Edge and Fog Computing Within Cloud Ecosystems
Authors: Goel Pawan Kumar
Published: December 2024

Edge and fog computing are critical advancements in cloud ecosystems, offering enhanced real-time processing, reduced latency, and improved bandwidth efficiency. These technologies are essential for the future of cloud services and the Internet of Things (IoT). However, the decentralized nature of edge and fog computing introduces unique cybersecurity challenges that need addressing. Current literature highlights several unresolved issues, such as the increased attack surface, data privacy concerns, and the resource constraints of edge and fog nodes. Our research proposes a novel security framework that integrates lightweight encryption, decentralized authentication via blockchain, and adaptive machine learning-based intrusion detection. This innovative approach is designed to address the specific security needs of edge and fog environments for the first time. Our simulation results demonstrate significant improvements in threat detection accuracy and system efficiency compared to existing methods.
Data Quality in the Surveillance Economy
Authors: Karrrouk Younes , Navalpotro Felipe Rodolfo Debasa
Published: December 2024

Data is considered the new oil of the current world economy. Therefore, it is necessary to analyze the quality of the data as a preliminary phase in the interaction processes with algorithms and artificial intelligence. This chapter explores the critical importance of data quality within the surveillance economy and its implications for digital governance. It addresses the challenges of ensuring accurate, reliable data in an era of pervasive data collection and usage. The discussion highlights strategies for improving data governance practices to enhance privacy and accountability in AI-driven environments.
Liberal Democracy, Behavioural Governance, and Communication
Authors: Quintana Sonia Cea
Published: December 2024

This article examines the intersection between liberal democracy, behavioural governance, and communication, highlighting their uses, potentialities, and risks. Behavioural economics has introduced innovative approaches in the formulation of public policies, rising new forms of governance and communication with citizens in order to optimise their behaviour. Two decades after the concept appeared, this article takes a current picture of behavioural governance in the world. The research identifies the leading regions and countries, the nature of the units of behaviour and their governmental relationship, as well as their main areas of activity. The findings highlight the prominence of interventions in health, environment and communication, reflecting a global trend towards the use of behavioural knowledge to improve the communication of public policies and overcome cognitive biases enhanced by the media. The authors focus attention on the need for robust regulatory frameworks to ensure ethical deployment and protection of individual rights in this evolving landscape.
Exploring a Smart City and the Epicenter of Megatrends in Innovation With Artificial Intelligence
Authors: Diaz-Llairo Maria Amparo
Published: December 2024

This article explores the transformative role of Artificial Intelligence (AI) in urban development, focusing on Dubai as a pioneering smart city at the epicenter of global technological trends. Through a comprehensive case study, this research investigates Dubai's integration of AI within its socio-economic and infrastructural frameworks, illustrating its evolution from a regional hub to a global leader in smart city innovations. The study highlights the multifaceted applications of AI in Dubai's public services, transportation, healthcare, and environmental management, demonstrating how these initiatives enhance urban functionality and set new standards for global urban development. The findings offer insights into the strategic implementation of AI, showcasing Dubai's approach as a model for future smart cities and providing a framework that blends technological advancements with sustainable urban planning.
A Proficient Fake Fingerprint Identification System Based on CNN to Ensure Human Security
Authors: Mondal Atanu , Kundu Sumana , Majumder Anandaprova
Published: December 2024

This study presents an innovative Convolutional Neural Network (CNN) framework designed to improve fingerprint classification, particularly distinguishing between authentic and counterfeit prints. Fingerprint authentication is crucial in biometric security, but advanced techniques for creating fake fingerprints demand ongoing improvements in classification methods. We propose a CNN architecture that effectively captures the intricate features of fingerprint images using convolutional and pooling layers, enhanced by dropout regularization to prevent overfitting. Our approach employs a diverse, meticulously curated dataset, divided into training, validation, and test sets for robust model training and performance evaluation. Rigorous testing, including cross-validation and extensive metrics analysis, demonstrates our CNN model's exceptional accuracy and reliability in discerning genuine from fraudulent prints. This research enhances fingerprint authentication systems by addressing the challenges of sophisticated manipulation techniques.
Mind Mapping as an Innovative Teaching Learning Tool in Education
Authors: Rai Monkia , Kaur Navdeep
Published: December 2024

Mind mapping is a non-linear learning strategy that encourages students to ponder and explore concepts through visual-spatial links that flow from a central theme to outer branches that may be interconnected. It helps to establish the connection between ideas and concepts. Mind mapping is a visual mapping technique used to visually represent complex information. Mind maps include images or pictures for the central idea because an image is worth a thousand words and helps to use our imagination. Mind mapping strategy is useful for all categories of students, i.e., those with low or high academic achievement leading to the fact that all types of categories benefit from this. Thus, this technique is strongly recommended for all types of teaching and learning. Mind mapping strategy has been found to have a positive impact on the retention of the concepts memorizing capacity, critical and creative thinking, and problem-solving ability of the students; all these skills help to increase the cognitive ability of students in an effective way.