bluuebunny/crossref_metadata_2025 huggingface dataset:
Invasive and Creepy Technologies
Authors: McWhorter Rochell R. , Laurie Mandi M.
Published: July 2024

As modern technologies have increased in sophistication and invasiveness, users have expressed concerns about confidentiality and ethical issues regarding contemporary technologies such as artificial intelligence, facial recognition, social robots, big data, and location-sharing apps. As a result, the term “creepy technologies” has been used to describe these concerns. This chapter seeks to review relevant literature for this area of study and offer interventions for individual users, teams, and organizations.
Inclusive E-Tutoring Between Artificial Intelligence, Corporatity, and Emotionality
Authors: Tornusciolo Silvia , Catalano Enzapaola , De Giuseppe Tonia
Published: July 2024

The report on the digital decade prompted the European Commission to issue recommendations to Italy aimed at encouraging investment in high quality education that leads to the development of the transversal skills necessary to keep pace with the digital transformation of society. AI is revolutionising the world, and, with it, education. Learning that passes through the corporeity and the senses is therefore destined to disappear and be replaced by the perception of the three-dimensional world? Will it still be necessary to aim towards literacy emotional literacy and inclusion, the result of a skillful application of inclusive teaching methodologies such as flipped inclusion? These are the questions the authors will try to reflect on, analysing in particular flipped inclusion, in order to of exploring, devising, designing and testing inclusive models of ecological development.
From Trivial Answers to Critical Questions
Authors: Damasevicius Robertas
Published: July 2024

The educational landscape is undergoing a seismic shift, moving away from traditional paradigms that prioritize rote learning and static answers. This chapter introduces a novel educational approach that leverages AI-driven inquiry scenarios and prompt engineering, emphasizing the development of critical questioning skills over the mere provision of answers. This approach aligns with the demands of a rapidly evolving knowledge landscape, often referred to as the “knowledge multiverse.” This approach integrates generative AI, like ChatGPT, as a tool for fostering inquiry-based learning. The methodology focuses on teaching students how to formulate and refine critical questions, a skill the authors term “prompt engineering.” This method involves interactive sessions, workshops, and project-based learning modules where students learn to interact with AI effectively, guiding their learning journey through skillful questioning. This chapter posits that the future of education lies in empowering students to navigate the knowledge multiverse through critical questioning and effective use of AI.
The Application of AI in Neuromarketing
Authors: Fahim Ichrak , Haramouni Loubna , Majdi Mohamed Khalil , Elkandoussi Fatima
Published: July 2024

Neuromarketing is an interdisciplinary field that combines neuroscience, psychology, and marketing for a better understanding of consumer behaviour. Artificial intelligence (AI) is a discipline that can shape consumers' preferences, leading to better insights for marketing strategies. This chapter aims to identify, evaluate, and summarise the findings of all relevant individual studies on the usage of artificial intelligence in Neuromarketing practices, as well as the different controversial ethical perspectives regarding this discipline. A systematic literature review of research studies published in indexed databases over the past ten years, 58 recent references were studied using a qualitative content analysis approach. The results indicate the application of AI in neuromarketing allows for more accurate and precise analysis of consumer behaviour and decision-making processes. However, the ethical debate of applying AI in neuromarketing is still ongoing, making it a topic of controversy and further research.
The Potential Benefits of Integrating Business Intelligence and CRM
Authors: Ait Touil Abdelhak
Published: July 2024

The business environment is constantly changing and evolving, and companies must adapt to remain competitive. Today, companies have no choice but to compete on a global scale by developing products and services that meet the aspirations and needs of consumers. To meet these challenges, companies need to acquire and develop resources that improve their ability to effectively exploit opportunities and avoid threats. Business intelligence and CRM systems help companies do this. Business intelligence and customer relationship management are closely related. Recent studies have explored the benefits of integrating business intelligence and CRM. Today, the integration of business intelligence and CRM has become a key strategy for companies seeking to improve their operational efficiency and customer-centric practices. The purpose of this chapter is to provide a perspective on how the integration of business intelligence and CRM can lead companies to sustainable growth and improved competitiveness. It explores the principles, challenges, and potential benefits of this integration.
A Comprehensive Survey of Hypermedia System for Text- to-Image Conversion Using Generative AI
Authors: Majumdar Tripti , Sahu Sandipan , Kumar Raghvendra
Published: July 2024

The intersection of computer vision and natural language processing (NLP) has witnessed significant advancements in recent research, particularly in the realm of converting text into meaningful images leveraging generative AI and large language models. This review work aims to comprehensively review the progress made in text-to-image conversion. The survey covers the three primary approaches in the field, namely diffusion models (DM), GAN model approaches, and autoregressive approaches. Furthermore, the authors present a comprehensive chronology of the TIG journey, encompassing its origin and the most recent developments, providing readers with a comprehensive perspective on the field's progression. The survey focuses heavily on identifying the existing constraints of DM in picture production and offers multiple research publications and their contributions in overcoming these constraints. The survey provides useful insights into the advancements in text-to-image (TIG) generation using generative AI by focusing on key difficulties and examining how different works have addressed them.
Social Media Landscape in Africa
Authors: Okocha Desmond Onyemechi , Chigbo Maureen
Published: July 2024

Since the Arab Spring pro-democracy riots and upheavals that shook the Middle East and North African authoritarian regimes in 2010 and 2011 and the EndSARS protest against police brutality in Nigeria in 2020, the debate on the influence of social media in galvanizing youth to action has raged. The research was done to establish how social media has advanced the mobilization of youths for social-political change in sub-Saharan Africa in the last five years that countries in the region have witnessed successful general elections. Premised on the theoretical frameworks of media ecology and agenda-setting, the study explained how social media through improved affordable technology and democratization of media have aided and abetted the participation of young people in the transformation of society.
Comprehensive Review and Analysis of Network Firewall Rule Analyzers
Authors: Zangana Hewa Majeed , Omar Marwan , Al-Karaki Jamal N. , Mohammed Derek
Published: July 2024

Firewalls are crucial for network security, regulating traffic to prevent cyber threats. This review explores firewall rule analyzers, examining their functionalities, methodologies, and implications. The authors delve into firewall policy reconnaissance, anomaly detection, and rule optimization techniques. Integrating advanced technologies like machine learning and SDN, they analyze automation's role and compliance implications. This review provides insights into enhancing network security posture through effective firewall management.
Exploring the Landscape of Website Vulnerability Scanners
Authors: Zangana Hewa Majeed
Published: July 2024

This chapter provides a comprehensive analysis of web application vulnerability scanners, examining their characteristics, effectiveness, and implications for web security. Through a synthesis of findings from various studies, the chapter explores the distinctions between open-source and commercial scanners; evaluates their detection capabilities, scanning methodologies, performance, and scalability; and analyzes their accuracy and propensity for false positives. The chapter concludes with recommendations for enhancing the effectiveness and accessibility of vulnerability scanners and emphasizes the importance of continued investment in research and collaboration to address evolving security challenges.
Illuminating Evidence
Authors: Yogi Manas Kumar , Mundru Yamuna
Published: July 2024

The cyber space usage has seen multiple levels and types of cyber-crime. The role of digital forensics to collect criminal evidence and analyze it so as to find a path to the cyber-criminal is equally challenging. In this regard, AI tools and techniques have provided a robust weapon. But the main issue with using AI mechanisms is the understandability; interpretability, of a result, is quite difficult in a court of law. In legal aspects, the AI lacks the features of explainability. In this chapter, the authors shed light on the techniques of explainable artificial intelligence techniques that provide methods to enhance the degree of explainability in tracing a cyber-crime so that the court of law delivers the verdict with complete justice. In the future, XAI-driven digital forensics will go a long way in supporting cyber forensics, and this chapter is a sincere attempt to propel the stakeholders in this domain to give a thought in the same direction.
The Progressive Approach of Linear Substitution Cipher for a Singular Matrices Key Using AI Tools
Authors: Kuril Devendra , Dhawan Manoj
Published: July 2024

The linear substitution cipher is renowned for its secure key encryption capabilities. Despite its strengths, a significant limitation lies in the necessity of a deciphering key to convert ciphered text to plain text, rendering it unsuitable for cryptosystems (cryptosys) handling non-readable text, such as text code. Previous analyses have underscored the inadequacy of conventional linear substitution cipher techniques in the absence of AI tools, as they remain susceptible to numerous vulnerabilities, particularly in the identification of plaintext, matrix calculation systems, and human error. However, advancements in algorithmic refinement have endowed these methods with enhanced resistance to known plaintext attacks, facilitated by AI systems because this system can change requirements at the time of execution algorithm. This chapter endeavors to explore and evaluate the efficacy of these advanced linear substitution cipher variants in overcoming inherent vulnerabilities and bolstering cryptographic robustness.
A Study Exploring the Effect of Subliminally Priming Known Human Faces vs. Unknown Human Faces on Product Selections by Consumers
Authors: Abhay Rabia , Mathew Nesin Sibin
Published: July 2024

Unconscious thoughts more than often are seen to precede conscious contemplations of the surroundings. The Present chapter attempts to explore how subliminal priming of known and unknown human faces could impact product selection and decision-making time of consumers. 2 (Known face X Unknown face) X 2 (Product selection X Decision-making time) within-subject design was used for the study. A stimulus-priming experiment designed in E-prime software was used to subliminally expose the participants to both known and unknown human faces They were then asked to select a product that they were willing to buy from an option of four products, of which one of the products was primed along with Human face (Known Vs Unknown). The product selection rates as well as the time taken to select the product were recorded. A total of 100 Participants falling in the age category of young adults (18-39) took part in the study. The chapter discusses the results and dives deeper into the implications that they hold in the world of marketing.
A Deep Dive Into the Narrative Complexity of The Last Dance Sports Documentary
Authors: Çavuş Metin
Published: July 2024

The television miniseries ‘The Last Dance' is a sports documentary that narrates the success story of the Chicago Bulls, starting with the drafting of Michael Jordan in the 1980s and culminating in six NBA championships during the 1990s. Each of the ten 50-minute episodes features a non-linear narrative, incorporating interviews, archival footage, observational shots, and graphical applications. The story of the 1997-98 season, from which the documentary draws its title, unfolds in parallel with the team's ascent to prominence starting in the 1980s. The interplay between these two eras is narrated through the main characters' personal stories, with Michael Jordan notably taking center stage. The series employs a complex narrative structure, yet hooks, graphics, and montage sequences effectively render the intricate storyline comprehensible. As an exemplar of classical narrative, ‘The Last Dance' is episodic, hybrid, and paced—essential characteristics in contemporary sports documentaries.
A Visual Acuity Assessment System Based on Static Gesture Recognition and Naive Bayes Classifier
Authors: Li Changfeng , Tong Wenqin
Published: July 2024

Visual Acuity (VA) assessment is crucial for early vision screening, yet traditional methods are manual and time-consuming. Despite the advancements in human-computer interaction (HCI), there is no existing system fully addresses accuracy, efficiency and adaptability. This study introduces an intelligent VA assessment system that combines MediaPipe-based static gesture recognition with a novel Naive Bayes Classifier (NBC)-based VA Thresholds Determination (VATD) scheme. This integration offers a non-contact, user-friendly approach for rapid and precise VA testing. The VATD scheme is designed to significantly reduce the number of test trials; thereby, substantially improving the efficiency. Experimental validation confirms the system's high accuracy (96.72%) within a ±0.1 deviation from standard methods, achieves a 68% reduction in test time compared to traditional methods, and offers a 27% efficiency improvement over ANN-based systems. This system promises to enhance VA assessments, particularly for children and adolescents, with its speed, accuracy, and broader applicability.
Design and Evaluation of Packaging Art Based on Sentimental Value Calculation and Clustering
Authors: Wu Fang , Alatas Bilal
Published: July 2024

This paper introduces the cultural dimension of product packaging, elucidates the quantification principle and methodology governing customer aesthetic experiences, propounds an innovative packaging style design approach, and presents an evaluation model based on an enhanced neural network. Using tea packaging design as an illustrative case, the methodology initially aligns adjectives, subsequently computes the emotional depth value, and ultimately derives the corresponding correlation between customer emotional experiences and design elements through a neural network. Subsequently, the designed model is validated using tea packaging design as a practical example. The outcomes demonstrate the model's accuracy and efficacy in establishing the mapping between design elements and aesthetic experiences, offering novel insights for the evolution of packaging design in the contemporary market landscape.
Fuzzy Learning-Based Electric Measurement Data Circulation Monitoring and Security Risk Anomaly Evaluation
Authors: Li Xinjia , Li Yahong , Fang Lei , Liu Liwei , Wang Ke
Published: July 2024

With the circulation of massive electric measurement data, data anomaly caused by security attacks imposes security risks on reliable operation of smart grid. Long short-term memory (LSTM) based data circulation monitoring and security risk anomaly evaluation has been intensively studied. However, some issues remain unsolved, including learning overfitting and large prediction error. In this paper, we investigate fuzzy learning to infer the abnormal level of security risk. In particular, an adaptive grey wolf optimization-LSTM-fuzzy petri network (AGWO-LSTM-FPN) based electrical measurement data circulation monitoring and security risk anomaly evaluation algorithm is proposed. Specifically, AGWO is utilized to optimize LSTM parameter updating and improve traffic prediction accuracy. Furthermore, FPN is combined with multi-dimensional monitoring indicators to enhance anomaly level evaluation. Simulation results illustrate the excellent performance of AGWO-LSTM-FPN.
An Innovative Approach to Optimize Inbound Delivery Scheduling at Distribution Centers
Authors: Ying Curtis , Liebson Michael
Published: July 2024

Distribution centers (DCs) run more efficiently if their inbound deliveries are spread out evenly over the days of the week so that volume is aligned with receiving capacity. However, delivery dates are often scheduled at the time of placing purchase orders without an efficient process for spreading deliveries evenly, and there has been little research on how to optimally do this. This paper terms this process Master Purchasing Receipt Scheduling (MPRS) and introduces a novel MPRS algorithm developed by New Horizon Soft, LLC using data from a major U.S. restaurant chain, where the algorithm is now in use. The approach optimizes order delivery dates, accounting for vendor shipping calendars, shipment sizes, and transportation uncertainty. Results from a Monte Carlo simulation validate the effectiveness and robustness of the algorithm. By addressing the complexities of DC operations, this innovation promises to reduce receiving bottlenecks, increase efficiency and capacity utilization, and foster additional research in this vital area.
Application of Artificial Intelligence in Neuromarketing to Predict Consumer Behaviour Towards Brand Stimuli
Authors: Juárez-Varón David , Mengual-Recuerda Ana , Zuluaga Juan Camilo Serna , Corvello Vincenzo
Published: July 2024

This research aims to analyse the current level of accuracy in predicting consumer behaviour in response to brand stimuli using artificial intelligence, comparing the results with an analysis conducted using neuromarketing biometrics. The study aims to determine the accuracy achieved in predicting consumer levels of attention and visual attraction towards visual stimuli, compared to the results recorded in a neuromarketing investigation with real users, through eye tracking. The implications of these comparative analyses are discussed in the final part of the article, concluding that the emotional intelligence tool provides very accurate predictions of consumer behaviour in response to visual stimuli. The results of this study revealed that the prediction of the percentage of users who would view each area of interest is very good, and regarding visual attraction (time until the first viewing of each area of interest), it is quite similar to the order observed by the consumer group; consequently, the level of approximation to reality of AI is very good.
Efficient Workflow Scheduling in Edge Cloud-Enabled Space-Air-Ground-Integrated Information Systems
Authors: Jiang Yunke , Sun Xiaojuan
Published: July 2024

To address the challenges posed by the dynamism, high latency, and resource scarcity in integrated air-space-ground hybrid edge cloud environments on task completion times and node load, we designed a task scheduling system for scenarios involving the transmission and processing of interdependent tasks. This system integrates a graph neural network with attention mechanism and deep reinforcement learning. Specifically, we employ a graph encoder to extract features from DAG tasks and resources. Task scheduling solutions for dynamic environments are then generated using attention mechanism-equipped graph decoder, which are subsequently optimized based on performance metrics through the use of an Advantage Actor-Critic algorithm. Experimental results indicate that this algorithm performs well in terms of completion time and node load balance across tasks with different workflow structures, demonstrating its adaptability to highly dynamic edge cloud environments.
Semantic Web-Based Energy-Efficient Design of Dual-Mode Vehicles Based on Deep Neural Networks
Authors: S.M. Revathi , L. Jegatha Deborah , Balamurugan Chinnapettai Ramalingam , Alblehai Fahad
Published: July 2024

Dual-Mode Vehicles (DMVs) represent a new and sustainable solution to the problems of urban mobility, and energy consumption. This proposed work of a DMV can operate without a conventional battery. Instead, it uses a combination of energy management technology, renewable energy systems, and other energy sources to ensure continuous operation. The efficiency and the working statistics of such DMV could also be sufficiently monitored through semantic techniques. The user can freely choose the type of working of the vehicle based on the current inputs given by the users. These semantics serve a crucial role in establishing a reference model for seamless data exchange between the trained Bald Eagle Search (BES) algorithm and the deep neural network (DNN). This proposed work has been implemented and the performance has been analyzed concerning the State Of Charging (SOC), generator voltage, and DC-DC converter voltage. The proposed work yields higher SOC and voltage than other existing schemes.
Manual Label and Machine Learning in Clustering and Predicting Student Performance
Authors: Yin Mengjiao , Cao Hengshan , Yu Zuhong , Pan Xianyu
Published: July 2024

This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a four-quadrant clustering technique. The AIM model delineates student investment into four quadrants based on their time and energy commitment to academic pursuits, distinguishing between result-oriented and process-oriented investments. The findings reveal that the four-quadrant method surpasses machine learning clustering in predictive accuracy, highlighting the robustness of manual feature engineering. The study's significance lies in its potential to guide educators in designing targeted interventions and personalized learning strategies, emphasizing the importance of process-oriented assessment in education. Future research is recommended to expand the sample size and explore the integration of deep learning models for validation.
Food related symptom aggravation in joint diseases: Observations from a secondary care Ayurveda arthritis center
Authors: Rastogi Sanjeev , Maurya Kiran , Kaur Parmeet , Singh Girish
Published: July 2024

Background:

Food is generally being thought to have a connection with joint diseases. Ayurvedic literature has references to supports this, however, any conclusive research to support this idea is not yet available in the published literature. This study aim at observing any real association of food- and joint-related symptom intensity in people suffering with joint diseases.

Materials and Methods:

This is a cross-sectional, observational study where the respondents suffering with joint diseases, visiting a secondary care Ayurveda arthritis center, were asked to self-report if they identified any dietary association with the change in intensity of their joint-related symptoms.

Results:

Fifty-four patients (6.1% of 885 screened) have self-reported the association of 68 food items with increase in joint pain, swelling, and stiffness. 35 of 54 respondents (64.81%) had the Ayurveda diagnosis of Amavata (~rheumatoid arthritis). Highest joint symptom-related sensitivity was reported with food and drink items like curd 41 (75.9%), cold water 42 (77.8%), cold drink 38 (70.4%), ice-cream 35 (64.8), rice 33 (61.1%), and lemon 27 (50%).

Conclusion:

Food is found to have a definitive association with joint-related symptoms in a sub-population suffering with joint diseases. The study suggests that enquiry about food and its association with joint symptoms should be the part of routine enquiry in Ayurvedic rheumatology. Furthermore, such patients who are found to have a food-related symptom aggravation are needed to be treated differentially considering the food and disease association in mind.
Assessment of quality of life in head and neck cancer patients visiting the Palliative Care outpatient department in a tertiary care oncology centre in India
Authors: Gulia Abhity , Gupta Nishkarsh , Sharma Prateek , Kumar Vinod , Kumar Rajeev , Mishra Seema , Bhatnagar Sushma
Published: July 2024

Background:

Patients with head and neck cancers (HNCs) are at an increased risk of developing functional symptoms associated with eating, speaking, and breathing along with symptoms caused by a fungating tumour (e.g., cosmetic change, malodor, and bleeding). These may substantially reduce their physical functioning and quality of life (QoL). This observational study aimed to find out the QoL in patients with HNC in a tertiary care oncology centre.

Methods:

A prospective observational study was conducted in adult patients diagnosed with HNC. The patients were divided depending upon their disease extent into early, advanced, and very advanced local disease. The physical, cognitive, emotional, financial and social domains were assessed using a validated Hindi version of the European Organisation for Research and Treatment of cancer (EORTC)- QoL 30 and EORTC H&N 35 at baseline and 3 months.

Results:

A total of 100 patients were assessed with a mean age of 49.3 ± 12.4 years. Most of the patients had carcinoma buccal mucosa (42%) followed by carcinoma tongue (17%). The patients experienced difficulties with physical functioning and deterioration in emotional functioning. Pain and fatigue were the major problematic symptoms especially in advanced disease patients resulting in poor QoL. There was a significant improvement in various domains of QoL at 3 months follow-up in those with advanced disease. The fatigue scores at baseline and follow-up showed a positive correlation with other symptoms.

Conclusion:

Patients with HNC have a high symptom burden that leads to poor QoL. Appropriate palliative care interventions help to decrease symptom burden and prevent deterioration of their QoL in patients with HNC.
Recent Advances in Genomic Approaches for the Detection of Homologous Recombination Deficiency
Authors: Kim Yoo-Na , Gulhan Doga C. , Jin Hu , Glodzik Dominik , Park Peter J.
Published: July 2024

Accurate detection of homologous recombination deficiency (HRD) in cancer patients is paramount in clinical applications, as HRD confers sensitivity to poly(ADP-ribose) polymerase (PARP) inhibitors. With the advances in genome sequencing technology, mutational profiling on a genome-wide scale has become readily accessible, and our knowledge of the genomic consequences of HRD has been greatly expanded and refined. Here, we review the recent advances in HRD detection methods. We examine the copy number and structural alterations that often accompany the genome instability that results from HRD, describe the advantages of mutational signature-based methods that do not rely on specific gene mutations, and review some of the existing algorithms used for HRD detection. We also discuss the choice of sequencing platforms (panel, exome, or whole-genome) and catalog the HRD detection assays used in key PARP inhibitor trials.
Voronoi's formulae and the Gauss problem
Authors: Popov Dmitrii Aleksandrovich
Published: July 2024

We present classical and new results on the remainder term in the circle problem. The proofs are based on the application of various versions of Voronoi's formula.
Bibliography: 54 titles.
Fałszerstwa dzieł sztuki w wybranych orzeczeniach polskich sądów
Authors: Lichwa-Długosz Natalia
Published: July 2024

W artykule dokonano przeglądu rozstrzygnięć sądów powszechnych w zagadnieniach związanych z fałszerstwami dzieł sztuki. Z uwagi na rozbieżności pod względem zastosowanej wykładni w podobnych stanach faktycznych zbadano, jakie przepisy prawne stosują sądy, oceniając odpowiedzialność sprzedawcy za obrót nieautentycznymi dziełami. Celem artykułu było również zweryfikowanie, czy strony transakcji przestrzegają obowiązku zachowania należytej staranności oraz jakie metody sądy uznają za miarodajne podczas oceny autentyczności dzieła w postępowaniu dowodowym.
Synthesis and in vitro bioactivity of sodium metasilicate-derived silicon-substituted hydroxyapatite
Authors: Essien Enobong R. , Atasie Violette N. , Adeleye Ngozi A. , Adams Luqman A.
Published: July 2024

Structural alteration of synthetic implants aims to achieve better bioactivity, higher cellular response, and regulated degradability, all of which are critical criteria for a biomaterial to serve as a graft in bone regeneration. The aim of this work was to synthesize silicon-substituted hydroxyapatite and test its bioactivity in simulated body fluid (SBF) by proving the use of sodium metasilicate (Na2SiO3.9H2O) as an affordable precursor of silica. Thus, the study evaluated the in vitro bone-bonding capacity of hydroxyapatite (Ca10(PO4)6(OH)2) (HA) substituted with silicate ion (Ca10(PO4)6-x(SiO4)x(OH)2-x; SixHA). The SixHA with x = 0.4 was synthesized by utilizing a wet precipitation method with sodium metasilicate as a low-cost silica alternative for alkoxysilane precursors. The SixHA was then examined for properties such as morphology, elemental composition, phase composition, and the nature of chemical bonds using scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDX), X-ray diffractometry (XRD), and Fourier transformed infrared spectroscopy (FTIR), respectively. An in vitro bioactivity experiment was also carried out by incubating the SixHA in simulated body fluid (SBF) at 36.5 °C for 7 and 14 days. The obtained results revealed the substitution of SiO44- for some PO43- groups in the hydroxyapatite structure. The SixHA nucleated more apatite crystals on its surface and demonstrated some degradability during the periods of immersion in SBF. The characteristics of the SixHA imply that it could be used as a graft in bone restoration applications, thus signifying that sodium metasilicate could serve as an economic silica source for silicon-substituted hydroxyapatite production.
Simulation training in airway obstruction in pediatrics
Authors: Vasilyeva T. , Tanishina E. , Bakharev I. , Zubko D. , Terekhina T.
Published: July 2024

Foreign body airway obstruction (FBAO) is one of the most frequent causes of death among children and adolescents worldwide. Despite the widespread development and dissemination of methods of emergency care to the population, mass introduction of endoscopic methods of investigation and treatment, reducing the time of transportation of victims, increasing the level of knowledge of medical personnel and the public on first aid, this problem is extremely relevant at present. This is due to anatomo-physiological features of the child’s organism, age, behavioral factors, as well as possible complications, which, as a rule, are associated with untimely and incorrect technique of rendering assistance. Within the framework of the present study, a detailed analysis of episodes of FBAO in children in Ryazan region over a 5-year period was carried out, and clinical cases are described, allowing us to assess the importance of early diagnosis and treatment.
MEMORIA ANUAL 2012
Authors:   INSTITUTO ANDALUZ DE ADMINISTRACIÓN PÚBLICA
Published: July 2024

El contenido de esta Memoria anual de 2012 recoge la información organizada del conjunto de actividades desarrolladas por el Instituto Andaluz de Administración Pública en sus distintas áreas de competencias, analizando sus actividades desde la variedad de servicios que presta, deteniéndose en el análisis de aquellos datos que aportan información de especial interés.
LEYES DEL GOBIERNO Y ADMINISTRACIÓN DE LA COMUNIDAD AUTÓNOMA DE ANDALUCÍA: 3ª EDICIÓN ANOTADA Y CONCORDADA
Authors: FERNÁNDEZ RAMOS SEVERIANO , PÉREZ MONGUIÓ JOSÉ MARÍA
Published: July 2024

En la presente obra, los autores han unido "Gobierno y Administración" con el fin de ofrecer una única visión de ambas parcelas vinculadas por numerosos puntos en común. Para facilitar el acceso a este escenario, se ha procedido a concordar ambas normas entre sí. La obra se completa con un índice esquemático, otro sistemático y un último análitico.
EL DERECHO DE ANDALUCÍA DEL PATRIMONIO HISTÓRICO E INSTITUCIONES CULTURALES
Authors: Pérez Monguió Jose María
Published: July 2024

a finalidad de esta obra es dar cuenta del ordenamiento andaluz del Patrimonio Histórico e Instituciones Culturales, sin prejuicio de las referencias al derecho estatal.
Construcción de la descomposición de los precios marginales locales
Authors: Becerril Gordillo Carlos Antonio
Published: July 2024

En este trabajo se expone la forma en la que se construye la descomposición de los Precios Marginales Locales (PML) en sus componentes de energía y congestión con el uso del teorema de la envolvente. Los PML es la metodología quizá más ampliamente utilizada alrededor de todo el mundo para determinar precios de la energía, y uno de los conceptos más conocidos de este mecanismo de cierre es su descomposición en la suma de dos o tres componentes, dependiendo del modelo utilizado; sin embargo, el por qué sucede esto no lo es tanto. Es por esto que en este documento se proporciona una justificación formal, pero sencilla de la construcción de tal descomposición.
Blistering Skin and Blood Loss: A Rare Case of Epidermolysis Bullosa with Severe Anemia
Authors: Geetha Karra ,   Associate Professor, Pharm D, CMR College of Pharmacy, Hyderabad, India, 500050., Smaigdhini Chunchu , sree Kotti ramya , Sahithya Udtha L , Rao T. Rama ,   Student, Department of Pharm D, CMR College of Pharmacy Hyderabad, India, 500050.,   Student, Department of Pharm D, CMR College of Pharmacy Hyderabad, India, 500050.,   Student, Department of Pharm D, CMR College of Pharmacy Hyderabad, India, 500050.,   Principal, CMR College of Pharmacy, Hyderabad, India, 500050.
Published: July 2024

This case report examines an infant presenting with Epidermolysis Bullosa (EB) and severe anemia, highlighting the complexities of managing this condition. Despite receiving comprehensive care, EB significantly impacts patients’ quality of life due to chronic pain and psychosocial challenges. Effective management requires a multidisciplinary approach, with emphasis on wound care, pain management, and nutritional support. Targeted therapies, such as gene editing and protein replacement, offer promising avenues for improving outcomes in EB patients, emphasizing the importance of understanding underlying genetic mutations. Collaboration among healthcare professionals, researchers, and advocacy groups is essential for advancing EB management and enhancing patient care. This case underscores the urgent need for continued research efforts to address the unique challenges posed by EB and provide better support for affected individuals.
2º Simpósio Brasileiro de Sintaxe Espacial – Sintaxe Brasil 2023/24, Brasília, Brasil, 2024
Authors: Tibiriçá de Saboya Renato
Published: July 2024

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Cancellation of Steady State Error Using Auxiliary Diophantine Equation for a Bio-Reactor Process -A case study
Authors: Sundari.I  , Sivakumar.S  , Suguna.S  , Kathiravan.A
Published: July 2024

RST (Regulation, Sensitivity and Tracking) controller is very widely used in electrical engineering application. The controller provides both feed-forward and feedback actions. PID, Internal Model Controller (IMC) designs are mainly very effective in set point tracking but poor in disturbance rejection, however, the disturbance rejection can be obtained at the cost of reduced stability margins. The controller is based on the resolution of a Diophantine equation. A mathematical Model for Bioreactor was developed using MATLAB. Once the discrete model of the process is known and a model transfer function for the closed loop system has been chosen, the cancellation of steady state errors in response to reference signals has been solved for polynomial reference signals of any order by the introduction of an auxiliary Diophantine equation. The results are compared with the PID controller based on pole assignment method.
Face Detection and Recognition for Criminal Identification System
Authors: Prof. Kiran Yesugade  , Apurva Pongade  , Shruti Karad  , Divya Ingale  , Shravani Mahabare
Published: July 2024

This project showcases a powerful Face Detection and Recognition system intended to improve law enforcement skills by speeding up the identification of suspects in criminal cases. The system uses scalable databases and real-time computation, however instead of using traditional web sources for face detection. Accuracy and dependability are ensured by using the LBPH algorithm for face recognition and the Haar-cascade classifier for feature detection. The smtplib library allows the system to send a Gmail notification when it finds a matching face. The system that has been built contributes to public safety initiatives by improving law enforcement operations and demonstrating versatility for different face detection circumstances. The outcomes show how successfully the system can detect faces in real-time circumstances. The system achieves great performance by creating dynamic datasets and integrating algorithms. Integrating Gmail improves law enforcement response by facilitating prompt contact of identified suspects. This study highlights the role that surveillance technology plays in public safety and crime prevention, and it provides law enforcement authorities with useful solutions. Furthermore, the uses of this facial recognition and detection technology go beyond police enforcement. It can expedite attendance tracking and improve security in access control systems. Because of its adaptability, it can be used in a variety of industries and is expected to have a significant impact.
The Perception of Christians on the Doctrine of Trinity in Selected African Initiated Churches in Niger Delta
Authors: Okegwemeh Michael Ehilodu , Obasola Kehinde Emmanuel , Aina Adebayo
Published: July 2024

The question about the reality, nature and function of the Trinity in Christianity has evolved subjective theological and philosophical perspectives and debates among researchers, and more so is the issue of adapting the doctrine into African-initiated churches. The issue as it affects African Christianity in the Niger Delta has not been adequately addressed empirically. Thus, this study investigates and analyses the perceptions of Christians about the Trinity among selected African Initiated Churches. Quantitative research approach was adopted using a purposive sampling technique to explore the perceptions of selected church leaders about the concept of Trinity. Data were collected through the use of questionnaires from 50 selected church leaders from Celestial Church of Christ and the Apostolic Church in Niger Delta. The findings show that while most Christians understand the Trinity in terms of unity in diversity, some believe it is just mere normal church doctrine; whereas they all accept that there is timeless mystery of the Trinity beyond the mental construct of man from both churches. The study concluded that there is no consensus in the theological interpretation and conceptualisation of Trinity among African-initiated churches in the Niger Delta. Hence, the study recommends proper theological education as a means of addressing the problem wrong perception about the Trinity.
Short Communication: A novel hypopigmentation for southeast Pacific humpback whales
Authors: Avila Isabel , Castro Cristina
Published: July 2024

Southeast Pacific humpback whales (Megaptera novaeangliae) migrate annually to breeding grounds in Machalilla, Ecuador, and Uramba Bahía Málaga, Colombia. This species usually displays a black/ grey body colouration with its dorsal and caudal fins exposed above water. Between 2005 and 2023, whales in these regions were studied and photographed on 1,627 days. Results indicated that 29 whales have novel body markings, including white spots, irregular circles and sinuous lines, which resemble the paintings of 20th Century artist Jackson Pollock. While this novel ‘Pollock‐style’ pigmentation does not appear to cause health problems, we recommend further studies to evaluate its origin and effects.
C. S. Lewis’s THE GREAT DIVORCE—The Misunderstood Dynamics between the Self and the Other
Authors: Pelin Raluca Ștefania
Published: July 2024

‘Love your neighbour as yourself’ (NIV, Mark 12.31) and ‘Do to others as you would have them do to you’ (Luke 6.31) are the key commandments from the Bible and the drive of an emotionally intelligent existence. The inability of humans to abide by them creates a chasm between the Self and the Other. The Self defines and actualizes itself only in relation to Another. However, a great divorce ensues when the will, the ethical precepts, and the actions of humans fail to be responsibly exercised for the benefit of one’s own Self and that of the Other. C. S. Lewis’s fantasy The Great Divorce sheds light on the way the Self emerges as a consequence of making choices. The focus of this article is therefore on the reception of Lewis’s book from the perspective of emotional intelligence, of Paul Ricoeur’s Oneself as Another and Martin Buber’s I and Thou, also resorting to concepts from Viktor Frankl’s logotherapy and J. L. Austin’s speech acts since in any relationship the Self is faced with Another and can only understand oneself and create meaning by accurately perceiving the Others and communicating with them.
“A Critic Who Makes No Claim”: Disrupting Lewis’s (In)Expert Rhetorical Flourishes
Authors: Waters Sarah
Published: July 2024

This article shows us how C. S. Lewis offers an alternative way of framing expertise as he speaks and writes about his period(s) and text(s). This essay establishes that Lewis’s humility is, to some degree, a deliberately cultivated and rhetorically shrewd one. The self-characterization of childlike inexperience and humility is a traditional medieval rhetorical move of which Lewis is a master. Moreover, the irony of this humility has washed over commentators who believe Lewis’s claim to be no true Shakespearean scholar and who have all too readily sought to rescue Lewis from his reticence. This paper sets the record straight by resituating Lewis as an academic exploring medieval and renaissance texts from the inside out. It takes Lewis’s reticent remark at the beginning of his Shakespeare Lecture to the British Academy (1942) as a case in point.
Transparency and Accountability Concerns in the Nigerian Public Sector
Authors: Samuel Omoniyi Oluwabusayo , Rufus Akintoye Ishola
Published: July 2024

For many years, accountability and transparency have been of significant concern due to financial statement misstatements, fraud, and corruption in the public sector. Despite government policies and legislative acts aimed at addressing these issues, according to (Ezeajughu, 2021) such as the establishment of the Nigerian Constitution in 1999 and subsequent amendments, including the Budget Monitoring and Price Intelligence Unit (BMPIU), the Economic and Financial Crimes Commission (EFCC) Act 2002, the Independent Corrupt Practices and Other Related Offences (ICPC) Act (2000), the Advance Fee Fraud and Other Related Offences Act (1995), and the Financial Malpractices in Banks Act (1994), headlines still highlight ongoing corruption in the public service, thereby raising concerns on the twin issues of accountability and transparency in the Nigerian public service. It is in this regard that this paper examined the concerns of the Nigerian public regarding accountability and transparency. Using secondary data from Transparency International (TI), this paper argued that the level of transparency and accountability in the Nigerian public sector continues to wane, accentuating the rising level of corruption and corruptive tendencies in the Nigerian public sector. To reverse this trend, it is recommended, amongst other things, that the judicial system, framework, and architecture be rejigged and radially reformed through the creation of specialized courts that will speedily dispense justice.
Utilización de Bio4suelo®, como una alternativa para el manejo de enfermedades de la raíz en Chile habanero, como una estrategia de enseñanza aprendizaje para alumnos universitarios
Authors: Velázquez Silvestre María Gisela , Domínguez Cartas Víctor Manuel , Lechuga Hidalgo José Abraham , Castillo Capitan Guadalupe , Doroteo Luciano Margarita
Published: July 2024

Del 14 de septiembre al 15 de diciembre de 2023, se llevó a cabo el proyecto educativo “Utilización de Bio4suelo ®, como una alternativa innovadora para el manejo de enfermedades de la raíz en el cultivo de Chile habanero” en la Facultad de Ingeniería en Sistemas de Producción Agropecuaria (FISPA), en Acayucan, Veracruz. México. El experimento consistió en comparar dos tipos de manejo agronómico (convencional y agroecológico) probando el producto de última generación Bio4suelo®, que es un compuesto de hongos micorrízicos del género Glomus y antagónicos como Trichoderma harzianum y T. koninngi, combinado con bacterias de las especies Paenibacillus polymyxa y Bacillus thuringiensis, que permitió un mejor desarrollo radicular y alta tolerancia a las enfermedades de la raíz. El objetivo del proyecto fue mejorar las condiciones de sanidad del suelo del módulo agrícola a través del uso del mejorador del suelo y su evaluación a través del desarrollo de plantas de chile habanero. Los Objetivos particulares de las experiencias educativas participantes fueron la adquisición de nuevos saberes sobre los sistemas de Producción Agropecuaria y la integración de los alumnos. La metodología consistió en el establecimiento del experimento en campo, la asignación de actividades para el manejo del cultivo. Como resultado se obtuvo el mejoramiento sanitario del suelo a través del uso del Bio4suelo®, y la participación y formación de 67 alumnos de las Experiencias educativas de Edafología, Introducción a los sistemas de Producción Agropecuaria y Botánica General.
Experimental evaluation of the process of protein removal from waste shrimp shells using papaya and pineapple juice solution
Authors: Huynh Thi Minh Thanh , Dang Cao Bang , Pham Thi Thuy Truc , Pham Vo Chau Ha , Nguyen Loan Thanh Thanh , Phan Nhat Thanh Thuy , Hoang Duc An ,   Faculty of Natural Sciences, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Education, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Education, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Education, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Education, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Education, Quy Nhon University, Binh Dinh, Vietnam,   Faculty of Natural Sciences, Quy Nhon University, Binh Dinh, Vietnam
Published: July 2024

This research aims to improve the quality of chitin obtained from process protein extraction for shrimp shells. Previous studies showed that for the synthesis of chitosan, deproteinization, and demineralization is carried out by alkali and acid treatment, combined with heating, which affects the biosecurity of the material. Therefore, this study aims to remove protein from waste shrimp shells to purify chitin using a simple and safe green chemical approach (using pineapple and papaya juice solutions) and safe method. The raw shrimp shells were treated in steps: deproteinization with pineapple and papaya solutions for 12, 24, 36, and 48 h, varying immersion volumes from 10 mL to 60 mL. The experimental results showed that the protein in the shrimp shell was removed at 7.37% for freshwater shrimp (7.14%), higher than that of saltwater shrimp. The pineapple juice solution removed the protein better than the papaya juice.