bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of a black garlic extract combined with ascorbic acid on the colour and lipid oxidative stability of patties
Authors: Fernández Fernández-Valladares Nuria , Caro Irma , Mateo Javier , Mariño Almache Mauricio Fernando
Published: December 2024

Oxidation of meat products limits their quality and shelf life and is prevented by antioxidant additives. Natural ingredients rich in antioxidants are proposed as an alternative to these additives. In this study, the antioxidant effect of an aqueous extract of black garlic, as a natural ingredient rich in polyphenols, was evaluated in pork patties. 20 ml of extract, obtained from a homogenate prepared with one-part garlic and three parts water, was used per kg of patty in combination with three levels of ascorbic acid (from 0.125 to 0.5 g/kg). The effect of different combinations to prevent discolouration in raw patties and lipid oxidation stability in cooked patties during aerobic refrigerated storage was tested. The use of black garlic extract darkened the patties and increased the red and yellow indices. Ascorbic acid potentiated the antioxidant effect of black garlic in cooked patties and vice versa. The black garlic extract combined with ascorbic acid, even in an amount four times lower than that commonly used in the meat industry, was the treatment with the highest antioxidant effect.
DOI: https://doi.org/10.54167/tch.v18i4.1683
Achievement emotions within simulation in baccalaureate nursing education–A mixed methods study
Authors: Breznik Melanie , Radl Kathrin , Mark Anna-Theresa , Pezer Valentina , Wilhelmer Isabella
Published: December 2024

Objective: Simulation-based training equips students to meet the increasing demands of healthcare. While these trainings positively impact learning, the emotions experienced during simulations can influence these in learning outcomes. Achievement emotions, which are closely linked to academic performance, are considered to affect learning but have been underexplored in the context of simulation-based nursing education. Therefore, this study investigated the achievement emotions nursing students experience during simulation training and analyzed how they describe these emotions.Methods: A concurrent mixed-methods design was used. The Achievement Emotions Questionnaire was administered to a sample of nursing students (n = 101) assessing their emotions during simulation training. Additionally, 31 problem-centered interviews were conducted to delve deeper into the students' emotional experiences. Quantitative data were analyzed using IBM SPSS Statistics Version 28, while qualitative data were analyzed using content analysis following Kuckartz methodology, utilizing MAXQDA (Version 24.2.0) for coding and analysis.Results: Nursing students reported a range of achievement emotions, with positive emotions like enjoyment, pride, and hope scoring higher than negative emotions, such as boredom, hopelessness, and shame. Notably, anxiety levels were comparable to those of the positive emotions. Significant emotional shifts were observed during the simulation training. However, while quantitative data indicated a decrease in shame, interviews revealed students still felt shame after simulation, especially when knowledge gaps were exposed. Qualitative findings suggest that students' experience with simulation, the debriefing process, the training design, and their role in the simulation influence the achievement emotions experienced.Conclusions: The dynamic nature of achievement emotions during simulation training calls for further research to better understand their complexity. The discrepancy regarding shame between quantitative and qualitative findings also requires more investigation. Nursing educators should consider achievement emotions in simulation design, as factors like training structure influence students' emotional experiences.
Implementasi Kebijakan Pengembangan Pariwisata Berkelanjutan: Perspektif Collaborative Governance
Authors: Lolkary Selvi Yunita , Laurens Samson
Published: December 2024

Penelitian ini mengkaji implementasi kebijakan pengembangan pariwisata berkelanjutan di Indonesia melalui perspektif collaborative governance. Menggunakan metode tinjauan literatur sistematis, studi ini menganalisis 78 artikel yang diterbitkan antara 2010-2024. Hasil penelitian menunjukkan bahwa proses collaborative governance sebagian besar diprakarsai oleh pemerintah, dengan kepemimpinan fasilitatif dan dialog reguler sebagai elemen kunci. Faktor-faktor yang mempengaruhi efektivitas meliputi kapasitas kelembagaan, keterlibatan masyarakat lokal, keselarasan kepentingan, serta dukungan politik. Dampak terhadap pencapaian tujuan pariwisata berkelanjutan menunjukkan hasil positif dalam aspek ekonomi dan sosial-budaya, namun tantangan signifikan masih ditemui dalam aspek lingkungan. Meskipun collaborative governance menunjukkan potensi dalam mendukung pariwisata berkelanjutan, efektivitasnya bergantung pada penguatan kapasitas kelembagaan, peningkatan partisipasi masyarakat, dan pengelolaan konflik kepentingan. Penelitian ini merekomendasikan pengembangan program peningkatan kapasitas, penguatan kerangka regulasi, dan strategi yang lebih terintegrasi untuk mengelola trade-off antara berbagai dimensi keberlanjutan dalam konteks pariwisata di Indonesia.
Pengaruh Tanggung Jawab Kerja terhadap Kinerja Pengurus Ikatan Mahasiswa Minang Universitas Riau
Authors: Mardita Hazmi , Ayub Daeng , Fitrilinda Dafetta
Published: December 2024

Tujuan dari penelitian ini yaitu 1) Untuk mengetahui tingkat tanggung jawab kerja pada Ikatan Mahasiswa Minang Universitas Riau Pekanbaru, 2) Untuk mengetahui tingkat kinerja pengurus dalam Ikatan Mahasiswa Minang Universitas Riau Pekanbaru, serta 3) Untuk mengetahui seberapa besar pengaruh tanggung jawab kerja terhadap kinerja pengurus Ikatan Mahasiswa Minang Universitas Riau Pekanbaru. Penelitian ini berjenis ex-post facto dengan menggunakan pendekatan kuantitatif. Populasi dari penelitian ini berjumlah 78 pengurus Ikatan Mahasiswa Minang Universitas Riau Pekanbaru. Berdasarkan dari rumus slovin jumlah sampel dari penelitian ini yaitu 65 pengurus denagn taraf kesalahan 5%. Berdasarkan analisis deskriptif statistik responden, variabel tanggung jawab kerja memiliki nilai rata-rata sebesar 4.09 dengan tafsiran tinggi dan variabel kinerja pengurus dengan nilai rata-rata 4.30 dengan tafsiran tinggi. Hasil penelitian juga menunjukkan adanya pengaruh tanggung jawab kerja terhadap kinerja pengurus Ikatan Mahasiswa Minang Universitas Riau Pekanbaru sebesar 17,6% yang tergolong dalam kategori rendah karena sebanyak 82,4% ditentukan oleh faktor lain yang bukan bagian dari penelitian ini.
Generalisation of Patriarchy in Pakistan: Analysing Negation Concerning Women in Ziauddin Yousafzai’s Let Her Fly
Authors: Maria Noureen  , Iqra Maab  , Irum Musa
Published: December 2024

Negation is a linguistic tool used to express denial, contradiction, non-existence, or falsification of a proposition or a sentence. This paper highlights the use of negation as a strategy to misrepresent Pakistani society as highly patriarchal. Patriarchy exists in every culture, but its intensity varies in different cultures.  The present study examines how Ziauddin Yousafzai and Louise Carpenter employ negation to illustrate the concept of patriarchy in Pakistan.  However, this view cannot be extended to the whole country. Gerda Hedwig Lerner and Sylvia Walby’s theory of patriarchy supports the argument of the  paper. Gunnel Tottie’s model for the identification of negation words and negative propositions has been used to analyse textual references. The model is  used to highlight negation on a syntactic level that gives a compound effect in the propositions, thereby generalising patriarchy in Pakistani society. The  memoir serves as a window that lets the reader look into Ziauddin Yousafzai’s social life in Swat, Pakistan. The study of negation in the paper is significant as  it attempts to highlight the misrepresentation of Pakistani society as being patriarchal. The strategic use of recurrent negation words concerning women  seems to add the writers’ narrative to the list of ones who talk about gender inequalities in the East with aims to gain Western readership and praise. The  research concludes that non-affixal negation (both in no-negation and not-negation types) has been generously used concerning women to misrepresent  Pakistan to Western readers by focusing only on a smaller group and generalising it all over Pakistan.
Key Words: Negation, patriarchy, Pakistani society, women, generalisation
Reimagining the Cinematic Gaze: An Analysis of Iranian Mystical Cinema in Majid Majidi’s Baran
Authors: Sarah Abdullah
Published: December 2024

For the last few decades gaze as a theoretical concept has been explored from philosophical, political, and psychological perspectives. However, its exploration in media studies has been the most  extensive where it has been used to explore the viewers’ engagement with visual media. Theories of male gaze (Mulvey), female gaze (Lorraine Gamman, Margaret Marshment), objectifying gaze (Fredrickson and Roberts) and imperial gaze (E. Ann Kaplan) have explored the function of art and viewer’s relationship with the views in the West. However western-centric theoretical frameworks that  explore the role of gaze become problematic when one initiates a discussion on mystical cinema as it is developed outside the influence of mainstream cinematic thrust and its purely capitalist and  consumer-driven markets. A case in point is Iranian mystical cinema that is theopoetic in tradition and provides a viewing experience distinctly opposed to scopophilia. Taking everyday ordinary  protagonists, instead of larger-than-life heroes, this cinema takes us on a journey of their inner selves as they grapple with mundane experiences of life. The objective is not to depict the everyday life  of individual characters objectively but to use the ordinary, banal, and everyday to ask philosophical questions about life, death, and the connection between the real and the spiritual. The need for a  gaze theory that is steeped in Iranian culture is required to process these films. This paper argues for the idea of mystical gaze as a broad code with which to process these films and applies it to Majid  Majidi’s film, Baran.Keywords: Iranian cinema, cinematic gaze, media studies, gaze theory, mysticals
Building Tomorrow's US Enterprises: The Synergy of E-Commerce and Operations Management for 22nd Century Success
Authors: Veenam Prakash
Published: December 2024

eCommerce is the future of retail and its evolution of has been a key driver for digital transformation. This article underscores the imperatives of adoption of digital technology by modern businesses and the fundamentals of changing operations and how businesses benefit their customers. Most US business brought in change by installing smart e-commerce integration solutions that offer smooth communication between various sales channels and backend systems that enables personalization using AI (artificial intelligence) technologies. Strategic partnerships in the eCommerce industry aim at optimization of supply chain operations, efficiency enhancement and improved customer satisfaction. This article adds to the literature on how collaboration among e-commerce platforms and logistics providers and technology adoption can streamline goods flow through supply chain. This involves efficient operations management in a conducive environment to ensure product availability and prompt delivery to customers. This article underscores the synergy of eCommerce and Operations Management in ensuring a good future for modern U.S. businesses.
Design and Manufacture of Intelligent Filter Processing System of Modular Cutting Fluid
Authors: Jiang Shuo , Sun Hongchang , Zhang Yinuo , Hu Haonan
Published: December 2024

For the needs of ecological protection and high-quality development in the Yellow River Basin, the project plans to design and produce the intelligent filtration treatment system of modular cutting fluid, which is caused by the massive application of cutting wastewater and the improper treatment will cause serious damage to the environment. Through the study of the action mechanism of semiconductor inorganic film on cutting liquid, the development and application verification of cutting liquid filtration system and the development of cutting liquid online monitoring system, a complete set of semiconductor inorganic film high strength toughness steel cutting liquid filtration technology and equipment is formed, providing technical support for green, high efficiency, energy saving and environmental protection cutting fluid treatment. To solve the problem of improper treatment of cutting waste liquid after the processing process of deep hole parts of high strength and toughness steel. Keywords: modularization, online detection, semiconductor inorganic film.
Decision-making of Enterprise Greenwashing Behavior Under The Background of Carbon Tariff
Authors: Li Fangfang
Published: December 2024

Research background: As the EU deals with carbon leakage through carbon tariffs, export enterprises of some countries that do not meet the carbon emission standards face the problem of increasing export costs, so these enterprises have the tendency of "green washing". Therefore, how enterprises make decisions to deal with carbon tariffs and avoid the impact of changes in the terms of trade has become a hot topic. Based on the cost constraints of enterprises in developing countries, the information asymmetry between upstream and downstream enterprises, and the external environment constraints such as government and enterprise regulation and subsidy strategies, enterprises will make different decisions, including "brown enterprise" behavior that only considers economic benefits and "green enterprise" behavior that considers both economic benefits and environmental benefits. The research approach in this paper is based on game-theoretic analysis and adopts the supply chain game model proposed by Pretis (2022) [1]and Dong (2023[2]). This paper mainly discusses the different situations of maximizing the profit of individual enterprise and the profit of the whole supply chain through the game of the manufacturer's cost information advantage and the retailer's market information advantage. Finally, let business and government work together to get business to cancel the green washing practices that have been adopted. Conclusion: Based on the hypothesis that the EU is imposing carbon tariffs on developing countries, the greenwashing behavior of manufacturers and retailers is related to the green investment return rate of enterprises, the cost and rate of return of blockchain technology, and government subsidies.
PIX: INOVAÇÃO FINANCEIRA E SUAS CONSEQUÊNCIAS NA ECONOMIA BRASILEIRA
Authors: Bustamante Larissa Rabello , Santos Larissa Rodrigues Franco dos , Batista Valquiria Constancio
Published: December 2024

Este artigo investiga o impacto de pagamentos imediatos, o sistema que vem sendo reconhecido na economia brasileira como Pix, destacando suas inovações e implicações. A pesquisa é motivada pela necessidade de entender como essa ferramenta, lançada pelo Banco Central do Brasil no ano de 2020, transforma o cenário financeiro do país. Os objetivos incluem analisar a adesão desse sistema por indivíduos e empresas, suas vantagens em comparação aos métodos tradicionais de pagamento e as mudanças no comportamento do consumidor. Além disso, levantamento de dados para explorar os efeitos desse sistema revolucionário sobre diversos aspectos econômicos. As conclusões indicam que o Pix não apenas moderniza o método de pagamentos, mas impulsiona a inclusão financeira, fomentando a competitividade no mercado. A pesquisa sugere que o contínuo aprimoramento do Pix pode resultar em um sistema financeiro mais eficiente e acessível, com potencial para contribuir substancialmente para o crescimento econômico do Brasil.
Sistematización de experiencias de terapia ocupacional en un contexto de deprivación de estímulos cuando se incorporan estrategias de integración sensorial: Desde un orfanato en Etiopía- África
Authors: León Opazo Ximena
Published: December 2024

Cuando se habla de contextos vulnerables o de deprivación de estímulos, se comprende que existe un impacto a nivel general del desarrollo de las personas, y más aún cuando existe una escasa información acerca de la deprivación sensorial en la infancia y cómo puede repercutir en el desarrollo físico, cognitivo, social y emocional en la niñez.
Integración sensorial con población infantil: Una revisión sistemática de ensayos controlados aleatorios publicados en inglés
Authors: Acuña Carolina , Hill Jonnathan , Barfoot Jacqueline , Gallegos-Berrios Sebastián , Meredith Pamela
Published: December 2024

Esta revisión sistemática sobre integración sensorial es la primera en incluir exclusivamente ensayos controlados aleatorios. Además, se destaca por no limitarse únicamente a estudios realizados con niños con autismo, proporcionando información sobre los efectos del abordaje con población infantil en general.
Importancia de la evaluación exhaustiva en integración sensorial: Razonamiento clínico de caso único
Authors: Blanche Kiefer Dominique , Gutierrez Juliana , Imperatore Blanche Erna
Published: December 2024

Una exhaustiva evaluación en integración sensorial que cuente con diferentes métodos para recopilar datos nos permite obtener la información necesaria para realizar un correcto razonamiento clínico y posterior proceso de intervención.
PRO – SENSE: Herramienta de Evaluación Electrónica Sensoromotora
Authors: Lamas María Leticia , Singsaas Alan , Reinoso Gustavo , Imperatore Blanche Erna
Published: December 2024

Se estima que muchos niños en edad escolar presentan dificultades en la coordinación motora o un desorden en el desarrollo de la coordinación; teniendo en cuenta que el pobre desempeño motor se puede manifestar como problemas de coordinación, equilibrio, torpeza, o retraso en los hitos del desarrollo o en la adquisición de habilidades motoras básicas interfiriendo en las actividades básicas cotidianas. La propiocepción es un aspecto vital del control motor y tiene un gran impacto en la función en poblaciones diversas (Hiller et al., 2015). Existen pruebas estandarizadas, generalmente utilizadas en Terapia Ocupacional, para medir los desórdenes motores, muchas de ellas requieren mucho tiempo de administración y puntuación. Cuando se trabaja con niños con retrasos motores y problemas de procesamiento sensorial los terapistas ocupacionales evalúan el sistema propioceptivo, la mayoría están basados en la observación. (Chu, 2017). Existe una herramienta desarrollada por Blanche y Singsaas (2014) que se enfoca en el desempeño motor relacionado a la propiocepción: acciones secuenciales, el uso de retroalimentación somato-motora para planificar una acción, y fluidez de movimiento.
La interacción de ecosistemas terrestres desde la perspectiva de Integración Sensorial: “Una alternativa para la ruralidad”
Authors: Oñate Maldonado Pamela , Zegers Larraín Blanca
Published: December 2024

El “Llamado a la acción” realizado por la OMS en el marco de los Objetivos de Desarrollo Sustentable, en el cual se busca aumentar las posibilidades de acceso a rehabilitación integral, considerando que un 90% de las personas requerirá servicios de rehabilitación en su ciclo vital y sólo un 20% accede a ellos es acogida como parte del marco conceptual de este trabajo. La necesidad de diversificar las prácticas para su mayor accesibilidad es urgente. Nuestra propuesta para la generación de salud se sustenta en una comprensión ecológica del ser humano (Bronfrenbrenner), estrategias de rehabilitación basada en la comunidad (D. Werner) y prácticas basada en modelo de Integración Sensorial (Ayres). Desde estos marcos de referencia, se desprende una metodología de trabajo, que articula la atención tradicional (en sala) con tecnologías terapéuticas basadas en el territorio, como son: La hipoterapia y terapia de bosque y naturaleza, basadas en evidencia científica y conducidas por razonamiento clínico. En estos tres contextos, las personas transitan dependiendo de los objetivos funcionales que forman parte de su plan de tratamiento.
Perfil Sensorial en Niños con Autismo
Authors: Music Garrido Krasna , Hernández Zumelzu Mónica Isabel , Tapia Muñoz Pamela , Beltrami Zamorano Claudia , Ormazábal García Andrea de Los Ángeles , Andrade Galassi Antonia , Valenzuela Pedro , Montemurro Garcia Manuel
Published: December 2024

La literatura ha reportado que el 95% de los niños con TEA presentan algún grado de disfunción en el procesamiento sensorial. El objetivo de este trabajo fue describir la característica del perfil sensorial considerando el nivel de severidad de autismo, así como establecer la correlación entre la severidad y el puntaje de los diferentes sistemas sensoriales.
Implementación de espacios terapéuticos que ofrecen intervención basada en el enfoque de integración sensorial en Chile
Authors: Calderón Larraín Daniel , Emhart Josefina , Carrasco Marisol , Ramírez Carolina
Published: December 2024

La intervención con el enfoque de Integración Sensorial de Jean Ayres, requiere la provisión de experiencias sensoriales, especialmente del sistema vestibular, propioceptivo y táctil, que de manera óptima son otorgadas en un contexto terapéutico especial con un set de implementos que las ofrecen. A partir de la gran heterogeneidad percibida de los espacios terapéuticos, que generó una gran cantidad de consultas acerca de la implementación por parte de tanto profesionales en especialización como padres, la Corporación Chilena de Integración Sensorial convocó a una comisión que definiera las especificaciones técnicas con las que debían contar las salas de integración sensorial.
Sanatorium treatment of tuberculosis at the beginning (lessons of the past)
Authors: Ariel’ B. M. , Chuzhov A. L. , Chuzhov G. A.
Published: December 2024

The article is devoted to the initial stages of the development of a tuberculosis sanatorium as the main medical institution for the treatment of tuberculosis patients at the beginning of the 20th century both abroad and in Russia. The starting points are Thomas Mann’s novel «The Magic Mountain» (1924) and a review of this novel by B.P. Levenshtein (1929). It is important to note that neither before nor after «The Magic Mountain» was such a detailed literary «study» of various aspects of the lives of tuberculosis patients published. Undoubtedly, reading T. Mann’s novel «The Magic Mountain» will be useful for both a novice phthisiatrician and an experienced specialist.
Testing Golang Spanner Interactions Using Test Doubles
Authors:   Mountain View, USA, Jagnik Nilesh
Published: December 2024

Abstract—Almost all software systems require the use of
databases for storing application data and state. As such, it is
important to test the correctness of database operations made
by various components of a system. A lack of testing can lead to
bugs, errors and even outages in production. For systems using
database services like Cloud Spanner, it is difficult to spawn a
local database instance. This can make hermetic test setup quite
difficult. To solve this problem, Spanner provides test doubles
which can be used for unit and functional testing of database
operations. These test doubles act like real Spanner servers but
keep data in memory only and do not persist it. Although the
performance and efficiency of these test doubles is quite low,
they are well suited for hermetic correctness testing. In this
paper, we review test doubles and the best practices associated
with them. We then take a look at two test doubles offered by
Spanner, with one of them being available only in Golang. We
also cover the caveats associated with the use of these test
doubles.
Keywords—databases, software testing, test doubles, Cloud
Spanner
MITIGATING CYBER THREATS WITH ROBUST IDENTITY AND ACCESS MANAGEMENT TECHNIQUES
Authors:   Maryland, USA, Premsai Ranga
Published: December 2024

Abstract—Identity and Access Management (IAM) is
a fundamental security framework that ensures
legitimate users can access critical resources within a
computer system while preventing unauthorized access.
This is especially vital in financial organizations, where
safeguarding sensitive information such as user
identities, financial data, and medical records is
paramount. These organizations face a heightened risk

of cyberattacks due to the valuable and often high-
stakes nature of the data they manage. Data breaches

in such institutions can result in identity theft, billing
fraud, insurance fraud, and other serious
consequences, making robust IAM solutions essential.
Traditional IAM systems rely on user credentials,
roles, and policies to manage access, but as threats
become more sophisticated, so must the defense
mechanisms. Recent advances in machine learning
offer promising methods for enhancing IAM systems to

detect and prevent potential security breaches in real-
time. One such approach is the use of Identity Markup-
based IAM systems, which integrate user behavior and

context-based attributes to assess the legitimacy of
access requests. By embedding advanced algorithms,
such as ensemble models, within these systems,
organizations can better predict, identify, and mitigate
threats before they escalate.
This paper proposes an Identity Markup-based IAM
solution enhanced by an Ensemble ExoBoost Tree for
detecting and preventing security attacks within
financial organizations. The ExoBoost tree, a variant
of gradient boosting, combines multiple decision trees
to provide a powerful, accurate method for detecting
anomalies and potential attack patterns based on
historical data and user behavior analysis. By
incorporating this machine learning-driven approach,
the IAM system not only controls access more
effectively but also enhances its ability to identify subtle
attack vectors, even those previously unknown.

The proposed solution aims to address the growing
complexity of cybersecurity challenges in financial
organizations by providing a robust, adaptive IAM
system capable of preemptively identifying and
mitigating future data attacks. By leveraging advanced
machine learning techniques, this approach offers a
significant advancement over traditional IAM systems,
ensuring the ongoing protection of sensitive financial
data against emerging threats.
Index Terms—Identity and Access
Management,Identity Markup-based IAM,Ensemble
ExoBoost Tree
A Comprehensive Review and Practical Guide to Postman: Revolutionizing API Development, Testing and Collaboration in Modern Software Engineering
Authors: Sanugommula Harika
Published: December 2024

This paper provides an extensive review of Postman, a leading tool in API development and testing. Postman is
widely adopted in software development for its capabilities in creating, testing, automating, and documenting APIs.
This journal paper discusses the core features and functionalities of Postman, introduction of Postman and Newman,
including its CLI & UI usage understanding. By examining the benefits and limitations of Postman and comparing it
with alternative tools, this paper emphasizes Postman’s significance in modern API-driven development.
Keywords
API, Postman, API Testing, Automation, Collaboration, Software Development, DevOps
A Comprehensive Analysis of Level of Service Frameworks in Water Infrastructure Asset Management: Current Practices, Challenges, and Future Directions
Authors:   Infrastructure Management Consultant, Freese and Nichols, Inc., USA, Kulkarni Tanay S , Karve Devashri R ,   Asset Management Consultant, Kennedy Jenks, Inc., USA
Published: December 2024

This literature review examines the Level of Service (LoS) in water infrastructure asset management in
the United States. LoS frameworks are crucial for measuring the quality and reliability of water services,
encompassing regulatory compliance and stakeholder expectations. The review discusses existing research on
LoS implementation, the challenges of aging infrastructure, and the urgent need for resilient water systems in the
face of climate change and regulatory uncertainties. It highlights significant federal initiatives, such as the
Bipartisan Infrastructure Law, while recognizing utilities' financial and regulatory challenges. Additionally, the
study underscores the importance of stakeholder engagement, sustainability, and the integration of emerging
technologies in fulfilling current and future service expectations. The literature suggests redefining LoS
frameworks to better align with contemporary needs, focusing on enhancing resilience and ensuring sustainable
water service delivery. Ultimately, adapting LoS practices will be pivotal for addressing the evolving challenges
within the water sector and meeting the demands of both regulators and the public.
Keywords: Level of Service (LoS), Water Infrastructure, Asset Management, Resilience Stakeholder
Engagement, Bipartisan Infrastructure Law
Pharmacological Potential of Calotropis Procera: A Natural Remedy for Modern Ailments
Authors: Vaishnav Harsh , Sinha Denees , Prasad Bhuvaneshwar , Rathore Dewanjali , Sharma Harish , Sahu Gyanesh Kumar
Published: December 2024

Calotropis procera, commonly known as the "Apple of Sodom," is a versatile plant native to arid and semi-arid
regions of Africa and Asia. This shrub or small tree is renowned for its medicinal, industrial, and ecological

significance. Rich in bioactive compounds like alkaloids, flavonoids, and cardenolides, C. procera exhibits anti-
inflammatory, antimicrobial, and anticancer properties, making it valuable in traditional medicine for treating

ailments such as skin diseases, respiratory disorders, and fever.
Industrially, the plant's bark fibers are utilized in rope and textile production, while its latex serves as a coagulant in
rubber processing. Ecologically, C. procera contributes to soil stabilization, land reclamation, and desertification
mitigation. However, its adaptability and rapid growth also pose risks as an invasive species in non-native regions,
requiring careful management to harness its benefits while minimizing ecological disruption.
KEYWORDS: Milkweed, Traditional medicine, Anti-inflammatory properties, Skin disorders
Securing the Autonomous Future A Comprehensive Analysis of Security Challenges and Mitigation Strategies for AI Agents
Authors: Sengupta Abhijeet
Published: December 2024

The proliferation of Artificial Intelligence (AI) agents, characterized by their autonomy and capacity for independent
decision-making, presents both unprecedented opportunities and novel security challenges. This research paper
provides a comprehensive analysis of the security landscape surrounding AI agents, examining the unique
vulnerabilities stemming from their inherent characteristics and the emerging threat vectors targeting these
autonomous systems. We delve into a categorized framework of potential attacks, ranging from data poisoning and
adversarial manipulation to physical tampering and exploitation of autonomy. Furthermore, we critically evaluate
existing and propose novel mitigation strategies, encompassing secure development practices, robustness training,
explainable AI techniques for monitoring, and the crucial role of ethical and regulatory frameworks. This paper
contributes to the growing body of knowledge on AI security, offering insights for researchers, developers, and
policymakers navigating the complexities of securing the autonomous future.
Keywords: Artificial Intelligence, AI Agents, Autonomous Systems, Cybersecurity, Machine Learning Security,
Adversarial Attacks, Data Poisoning, Robotics Security, Ethical AI, AI Governance
Detection of Cardiovascular Disease Using AI
Authors: Singh Ankita , Soni Nupur
Published: December 2024

Detecting illnesses in their early stages can
help prevent serious complications and improve
treatment outcomes. Early diagnosis is critical because it
reduces the risk of severe consequences, as prevention is
better than cure. A high death rate often occurs when
diseases are not detected early.
Expert systems can bridge this gap by diagnosing diseases
automatically in their initial phases. These systems use
fuzzy, rule-based engines to analyze patient data and
apply forward-chaining techniques for diagnosis.
In this study, data such as age, gender, blood sugar levels,
blood pressure, and ECG results were collected from
various sources, including hospitals, to evaluate patients'
health conditions.
For example, the expert system might analyze the risk of
heart disease and classify it as "low," "high," or
"critical." Based on the system's diagnosis, a doctor
determines the appropriate treatment and prescribes
medication according to the risk level.
The study shows that this approach significantly improves
the accuracy of detecting heart disease risk levels and
supports doctors in providing effective treatment to
patients.
Keywords: expert system; fuzzy logic; ECG;
heart disease; blood sugar; cholesterol.
A Review on Fault Detection in IOT Sensor using Machine Learning
Authors: Agal Dr. Sanjay , Bhatt Dhruvi Manish
Published: December 2024

In order to provide accurate and dependable sensor measurements which are crucial for decision-making
and system integrity in today's data-driven environments this study builds a strong methodology for sensor failure
identification utilizing deep learning techniques. Using an extensive dataset of sensor readings under different
scenarios, the study compares many state of the art deep learning architectures to find the most effective and precise
techniques for real-time sensor defect detection. The results demonstrate how deep learning may be used to improve
the accuracy and dependability of sensor data, which can increase the dependability of sensor-driven systems in a
variety of contexts.
Keywords: Heart-rate sensor, RNN, Internet of Things(IOT), Deep Learning(DL), Sensor Fault Detection, Fault
Prediction.
Automatic Detection of Coronal Holes and Study their Properties
Authors: Gavisiddappa Dr , M G Venuchandan
Published: December 2024

Coronal hole is the outer most part of the
sun’s atmosphere where it is a region with low plasma
density and open magnetic field lines in solar corona to
understand its solar wind generation and space weather
phenomena, this makes them to look dark region on the
sun. And the causes done by sun’s radiation solar wind
effect on Earth’s atmosphere and also on ground and it
mainly causes some communication and appearing of
aurora on North-pole and South-pole. By using pretrained
machine learning model it uses neural network to detect

the coronal and by using traditional method intensity-
thresholding technique to detect the coronal hole using

images taken from Solar Dynamics Observatory’s
Atmospheric Imaging Assembly (SDO/AIA). It includes
high resolution images for segmentation and parameter
extraction using morphological evolution of coronal
holes driven by solar magnetic. Extracting the parameters
like centroid, area, latitude-longitude and intensity where
analyzed after contouring the coronal hole revealing
correlation with solar cycle variations in geomagnetic
disturbances. Comparing the coronal hole with sunspots,
it is eleven years process for analyzing the coronal hole
and its properties. It helps to study about evolution of
coronal hole and coronal mass ejection.

Key Words: numpy, skimage, morphology, CNN,
CHRONNOS, data analysis
AgroSense AI with News Aggregator
Authors: V Ganeshram , R Kaviyarasi , R Rakshita , G Semmozhi Jayam
Published: December 2024

Small-scale farmers face challenges such as plant diseases, pest infestations, soil fertility issues, water
mismanagement, and unpredictable weather, which reduce crop yields and profitability, especially in remote areas
with limited access to expertise. To address this, we propose an online platform connecting farmers with agricultural
experts like agronomists and entomologists, fostering knowledge exchange to tackle these issues and promote
sustainable farming. Leveraging deep learning, our study classifies soil textures using Convolutional Neural
Networks (CNNs) to analyze soil images, employing techniques like image augmentation to improve datasets and
exploring models such as Baseline, Augment, Dropout, and Padding. This AI-powered approach, integrated into
our platform alongside a farmer discussion forum, empowers farmers with actionable insights, enhancing crop
yields, conserving resources, and advancing food security and economic growth. AgroSense AI merges traditional
agricultural wisdom with cutting-edge technology, offering tools and a collaborative community to drive a
sustainable future in farming.
Keywords : AI powered , Convolutional Neural Networks, Deep Learning , Padding, Plant disease prediction, Soil
texture classification
Pengaruh Kepemimpinan Transformasional Terhadap Motivasi Kerja
Authors: Kadir Kadir , Sariningsih Wini
Published: December 2024

Leadership with a new approach is needed to deal with changes very quickly both from insideor from outside of the organization. Leadership with this new approach is transformative leadership that is able to develop initiatives, be able to empower staff and organizations into a change a way of thinking, developing a vision, understanding organizational goals and bringing about sustainable improvements. This study aims to prove that the transformational leadership style is able to bring changes that have an impact on increasing the motivation of subordinates to achieve performance as expected, and also to determine the extent the influence of each dimension of transformational leadership on employee work motivation. The study was conducted the government employee in one of the Bandung local government agencies using a sampling technique of 74 respondents. The independent variables in this study consisted of charismatic, inspirational, intellectual stimulation and individual attention while the dependent variable was work motivation. The results showed that transformational leadership simultaneously had a significant effect with a coefficient of determination of 63.8%. In order to increase the influence of transformational leadership, it is recommended that the leaders must have to pay more attention in placement of employees accordance with their educational background and expertise and do not forget the importance of delegating authority and responsibilities in a straightforward and clear manner to make room for employee creativity.
Pengaruh Penagihan Pajak Terhadap Kepatuhan Wajib Pajak Orang Pribadi
Authors: Ginting Wajib
Published: December 2024

The goal of this study is finding the implementation of Personal Income Tax Collection activities at the Primary Tax Service Office in Bandung, to find out the Individual Taxpayer Compliance and find out how much the Personal Income Tax Collection Effect on Individual Taxpayer Compliance.
The method used in the study at one of the Primary Tax Service Offices in Bandung is descriptive analysis method. The data collecting techniques are interviews, questionnaires and library research. The sampling technique with non-probability sampling is saturated sample, where all members of the population are sampled. The data analysis techniques are carried out through descriptive analysis and verification analysis.
Based on the results of the study, personal income tax collection is considered as good with an average score of 3.27 and the individual taxpayer compliance is categorized as is good enough. The average score is 3.25. then the personal income tax collection is adequate in improving personal taxpayer compliance. It was proven by the results of the correlation coefficient analysis by using the product moment. It has powerful effect at 0.831. Personal income tax collection affects personal taxpayer compliance by 69.00%, while the remaining 31.00% is influenced by the other factors that are not examined in this study such as the condition of a country's tax administration system, service to the taxpayers, tax law enforcement, inspection taxes and tax rates.
The Effect of Intrinsic Motivation and Competence on Employee Performance
Authors: Permana Dani , Rinawati Nenny , Titi Titi , Supartini Tini
Published: December 2024

This study aims to ascertain how intrinsic motivation and skilfulness affect employee performance in one of Bandung's highway development and operation enterprises. Both descriptive and verificative research techniques are employed. A sample of 39 employees from one of the highway development and operation companies in Bandung were polled to gather data and information for the study.
It is clear from the research's path analysis findings that the intrinsic motivation variable (X1) has a favourable impact on employee performance (Y). Employee performance (Y) is positively influenced by the competence variable (X2). According to the conclusions and recommendations drawn from the research, management should preserve and enhance motivation and competence.
Enhancing line loadability in urban rail systems: evaluating the impact of distributed generation on voltage stability, power losses and generation costs
Authors: Ali Adlan , Emran Muhammad Helmy , Ramli Mimi Faisyalini , Yassim Halyani Mohd , Wahab Amirul Sufie A , Ghazali Auni Najihah Mohamed
Published: December 2024

Alternative source of electrical energy for urban railway electrification system is Direct Current (DC). Traction Power Substations (TPS) were essentially connected to the electrical grid network managed by the electrical utility company for operating and powering purposes. Power unbalance frequently occurs in the high voltage railway network due to the load of the traction system. The aim of this project is to find the impact of distribution generation (DG) for line loadability in urban rail systems. The output that needs to be considered are the voltage profile, power losses and generation cost. The simulation was considered to prove the positive impact of distributed generation for line loadability in urban rail system. Electrical energy was crucial for Direct Current (DC) railway electrification systems, as it provided the traction power necessary for train operations via Traction Power Substations (TPS) that connected to the electrical grid network. However, power imbalances frequently arose due to the varying loads imposed by traction systems, resulting in inefficiencies, suboptimal voltage profiles, increased power losses and higher operational costs. With the expansion of urban rail networks and the growing need for efficient power management, it became vital to explore solutions that could enhance loadability and system performance. This project examined the impact of integrating Distributed Generation (DG) on the line loadability of urban rail systems, concentrating on improvements in voltage profiles, reductions in power losses and the evaluation of generation costs. The methodology involved developing a detailed simulation model of the urban rail system, incorporating DG scenarios, analyzing their effects on voltage stability, power losses and costs. The simulation results were anticipated to demonstrate that DG could improve voltage stability, reduce power losses, lower generation costs and increase line loadability. The implications of these findings encompassed enhanced operational efficiency, potential economic benefits despite high initial investments, increased sustainability through renewable energy and valuable guidance for future infrastructure development and investment decisions.
Father’s role practices as a reflection of psychological readiness for paternity in the contemporary Chechen family
Authors: Uvaisovna Kurbanova Lidiya , Sultanovna Abdulaeva Elita , Zandievna Visitaeva Irsana
Published: December 2024

The article attempts to reveal the psychological readiness for fatherhood in a family in a local traditional society like the Chechen one. The relevance of the research topic is necessitated by a social order for studying the problems of parenting that has emerged in recent decades wherein the role of the father, according to many experts, has undergone significant transformations. The process is brought about by changes in traditional family attitudes in modern society, while under professional and economic emancipation of women, liberalization of marital relations, the focus is shifted on habitual roles, functions and requirements for parents, especially for the father. The aim of the study is to reveal the specifics of psychological readiness for fatherhood in Chechen families. We defined the constructionist approach of a modern social psychologist Kenneth J. Gergen as a theoretical framework of the study. The author employs the constructivist method within the framework of social psychology. In the context of the transformation of traditional societies, while fusing value systems of tradition, modernity and postmodernity, the use of this approach seems methodologically justified. We used a whole range of sources as the experimental part: statistical data on divorces in the country and the region, the method of inclusive observation, content analysis of research materials published on the topic, and informal in-depth interviews with fathers of families in the Chechen Republic (N = 21). Based on the analysis of the experimental part of the study, the following preliminary conclusions can be drawn: according to the surveyed fathers of families, the family as an institution should be based on basic values such as "children", "health", "communication", "respect", "spiritual closeness", "honesty", "traditions", "love". At the same time, such parameters as "career", "need for creativity" were pushed to the sidelines; socialization of the institution of parenthood, acquisition of skills of behavioral practices of the father still occurs according to respondents through the mechanisms of transfer of experience of their own parental family. Gender socialization of children in the family is recognized as meta-education by almost all surveyed fathers of families. The involvement of fathers in the upbringing of boys declared by them is not always implemented in their everyday practice. A contradiction was revealed between the preferred style of upbringing and the model of upbringing of their own parental family.
Assessing earnings quality metrics and the impact of interest rate fluctuations in the financial services sector in the Iraq stock market
Authors: Boshrouyeh Salman Beik , Jamil Diyar Abdulmajeed
Published: December 2024

This investigation analyzes how fluctuations in interest rates impact metrics of profit quality within Iraq's monetary administrations division from 2012 through 2022. It utilizes an assortment of instruments including correlation, relapse and board information investigation over this broad timeframe. These techniques help uncover the connections between changing intrigue rates and central budgetary markers like net intrigue edge, advance misfortune supplies and absolute derivations. The discoveries uncovered huge relationships between vacillations in loan fees and these measurements, emphasizing the need to oversee the dangers associated with fluctuating rates and receive moderate accounting practices, particularly amid periods of financial vulnerability. The investigation holds ramifications for monetary foundations, strategy producers and controllers, highlighting the need to make strategic changes, consider approach from the point of view of rate elements and advance straightforwardness and responsibility in revealing practices. While profitable knowledge is acquired, additional examination is required to more profound comprehend these connections crosswise over different settings and investigate extra elements that could impact profit quality measures in monetary administrations. Balanced sentences and changing structures were utilized to build perplexity and uneven nature without expanding word check.