bluuebunny/crossref_metadata_2025 huggingface dataset:
A Call for Epistemic Humility in Political Philosophy
Authors: Robson Gregory
Published: February 2025

Political philosophers old and new have defended the twin claims that (i) traditions embody wisdom, and (ii) transforming tradition based on aprioristic theory threatens to disregard that wisdom. This article argues that while a priori theorizing about justice is indeed epistemically valuable, a priori theories of justice usually tend to merit moderate to low credences. The article develops an account of what I call the “A Priori Theorizing Thesis,” which holds that such theses are likely to be false and dangerous when implemented, and the “Non-substitution Thesis,” which holds that theorists should generally be disinclined to substitute their judgment for the wisdom of social traditions and norms. Along the way, Burke's positive contributions are emphasized and his hyperbole ignored.
Hungarian Images of the Romanians in the Second Half of the Nineteenth Century
Authors:   Facultatea de Istorie și Filosofie, Universitatea Babeș-Bolyai, Cluj-Napoca, Mitu Sorin
Published: February 2025

This article analyzes the image of the Romanians, as it appears in several important Hungarian texts in the second half of the nineteenth century. The Revolution of 1848 gave the Hungarians an ambivalent lesson about the Romanians. On the one hand, the latter behaved like enemies. This generated a negative imagological reaction from the Hungarians. On the other eated by the crushing combined force of Austria and Russia, opened up the possibility of collaborating with Romanians, as well as with the other oppressed peoples in eastern and Danubian Europe. But in the age of dualism, the image of the Romanians in Hungary, closely entwined with that of their conationals across the mountains, received a new political label, which had first been used during the revolution: Daco-Romanianism. Irredentism, which was coined by the Italians later, in the last decades of the nineteenth century, was an equivalent term. The Romanians were, therefore, seen to be characterized by “Daco-Romanian irredentism.” This phrase gained traction as Bucharest was becoming the capital of a more consolidated Romanian state and the Romanians in Transylvania were making ever more aggravating claims, which could be associated with this national dream. The Hungarians’ image of the Romanians during this period always stood between official nationalism and the utopia of fraternity.
To Reconstruct or not to Reconstruct: That Was the Question in Curating the New Display inside the Pharmacy Museum in Cluj-Napoca
Authors:   Muzeul Național de Istorie a Transilvaniei, Cluj-Napoca, Gruia Ana-Maria
Published: February 2025

Pharmacy museums are very specialized institutions, often located in the former rooms of old apothecary shops. One of the easiest ways of structuring the display is to recreate the interiors, with several variants: using original artifacts from that location (rarely preserved complete), using original artifacts from other locations, and using physical or virtual reconstructions (or various combinations). Though such atmospheric reconstructions are suggestive and create an immersive experience for visitors, they have the drawback of never reaching true historical accuracy. The History of Pharmacy Collection in Cluj-Napoca has been on display in the old Mauksch-Hintz pharmacy since 1954, with the addition of a recreated laboratory in the basement in 1972 and a complementary collection of medical equipment in 1997. A new display was designed in 2018–2024 following a major renovation of the monument. The present study discusses the choices and curating decisions behind the current Museum of Pharmacy exhibition in Cluj-Napoca, part of the National Museum of Transylvanian History.
Transforming Museum Experiences. Spatial Narratives in the “Miklós Bánffy” Museum Exhibition Design
Authors:   Universitatea Tehnică, Cluj-Napoca, Sisak Camelia
Published: February 2025

This article explores how narrative curation creates immersive and engaging experiences using technology and emotional engagement to guide visitors through structured, impactful stories. The design project is the medium that translates the narrative into physical space. The case study focuses on the “Miklos Banffy” Museum in Bonțida, where employing the story into the space is crucial in creating a captivating and educational museum experience. The exhibition at the “Miklos Banffy” Museum exemplifies how storytelling elements can be effectively employed to convey complex narratives. The fragmented narrative structure and multimedia integration create a multidimensional experience that encourages visitors to engage with Banffy’s life in a thematic, non-linear manner. Analyzing the exhibition design process, the article investigates how a well-structured story can add value to the displayed objects. The paper discusses design techniques and technologies used to integrate storytelling into the museum presentation without diluting the historical essence of the artifacts.
ARA MARTIS.
NOTES ON AN ANEPIGRAPHIC ALTAR FROM DACIA
Authors:   Muzeul Național de Istorie a Transilvaniei, Nemeti Irina , Nemeti Sorin ,   Universitatea Babeș-Bolyai, Cluj-Napoca
Published: February 2025

The study analyzes a monument published in 1916 by Buday Árpád, who considered
it a funerary altar. It is mentioned that it belonged to the museum’s old collection, without any
reference to the place of discovery, only that it came from Transylvania. All the interpretations from
previous publications are unanimous in considering this altar as funerary, despite the absence of
any funerary symbolism. The shape and decoration of the altar, as well as the presence of the focus,
are typical for votive altars in the province of Dacia. The altar belongs to the category of altars
with the capital decorated with a triangular pediment and puluini. The type of the altar, the Jovian
symbolism and even this main representation argue for interpreting the monument in a religious
context. The figure with the armour, helmet, sword or pugio and the spear in his left hand is, in fact,
a naïve representation, typical of provincial art, of the god Mars.
BEADS ASSOCIATED WITH THE GEPID PERIOD
IN THE EASTERN PANNONIAN BASIN.
TYPOLOGY AND WAYS OF WEARING
Authors:   Universitatea Babeș-Bolyai, Cluj-Napoca, Preda Alexandra
Published: February 2025

This study, divided into two parts, analyzes the beads that are part of the costume
of the inhabitants of the area of Gepid domination in the second half of the 5th century and the
first half of the 6th century AD. The first part is a revised version of the typology, resulting from the
research of material from funerary contexts and hoards included in my master thesis. The second
part tackles how the beads were combined and worn, and who the wearers were, based on the
typology and the material studied.
A NOTE ON A WEAK DICTATOR AND THE VETO CONDITION
Authors: Sećković Marija
Published: February 2025

Rad povučen radi redefinisanja dokaza.
⁠Artificial Intelligence in Predictive Flow Management: Transforming Logistics and Supply Chain Operations
Authors: Egbuhuzor Nnaemeka Stanley , Ajayi Ajibola Joshua , Akhigbe Experience Efeosa , Paul-Mikki Ewim Chikezie , Ajiga David Iyanuoluwa , Agbede Oluwole Oluwadamilola
Published: February 2025

Artificial Intelligence (AI) is revolutionizing logistics and supply chain operations through predictive flow management, a transformative approach that optimizes decision-making, enhances operational efficiency, and reduces costs. By leveraging advanced AI technologies such as machine learning, predictive analytics, and real-time data processing, businesses can anticipate demand, streamline inventory management, and optimize transportation networks. Predictive flow management empowers organizations to forecast disruptions, minimize delays, and maintain seamless supply chain operations. This integration of AI into supply chain management offers a competitive advantage, allowing firms to respond proactively to dynamic market conditions and customer demands. Key applications of AI in predictive flow management include demand forecasting, route optimization, and dynamic inventory control. Machine learning algorithms analyze historical data and real-time inputs to predict customer demand patterns, enabling precise production planning and inventory replenishment. Additionally, AI-driven route optimization ensures efficient delivery schedules, reducing transportation costs and environmental impact. Predictive maintenance, another critical application, leverages sensor data to forecast equipment failures and schedule repairs, minimizing downtime and enhancing reliability. Despite its benefits, the adoption of AI in predictive flow management presents challenges such as high implementation costs, data security concerns, and the need for skilled personnel to manage AI systems. Organizations must also address the complexities of integrating AI technologies with existing supply chain infrastructure and ensuring compliance with regulatory frameworks. This paper explores the transformative potential of AI in predictive flow management, examining its applications, benefits, and challenges in logistics and supply chain operations. It highlights case studies of successful implementations and provides strategies for overcoming barriers to adoption. By embracing AI-driven predictive flow management, businesses can enhance supply chain visibility, improve customer satisfaction, and achieve sustainability goals in an increasingly competitive global marketplace.
The Evolution and Impact of Cloud Computing on Real-Time Data Analysis in Oil and Gas Operational Efficiency
Authors: Akerele Joshua Idowu , Collins Anuoluwapo , Alozie Chisom Elizabeth , Abieba Olumese Anthony , Ajayi Olanrewaju Oluwaseun
Published: February 2025

In recent years, the oil and gas industry has witnessed a significant transformation fueled by the adoption of cloud computing technologies, revolutionizing the way real-time data analysis is conducted to enhance operational efficiency. This review delves into the evolution and profound impact of cloud computing on real-time data analysis within the oil and gas sector. The evolution of cloud computing in the oil and gas industry has been marked by a shift from traditional on-premises data management systems to cloud-based platforms. This transition has enabled companies to overcome the limitations of on-site infrastructure, offering scalability, flexibility, and cost-effectiveness. Cloud platforms provide the necessary computational power to handle vast amounts of real-time data generated from various sources such as sensors, IoT devices, and drilling equipment. Real-time data analysis plays a pivotal role in optimizing operational efficiency in the oil and gas sector. By harnessing cloud-based analytics tools, companies can extract actionable insights from data streams instantaneously. These insights empower decision-makers to detect anomalies, predict equipment failures, optimize production processes, and mitigate risks in real-time, leading to improved operational performance and reduced downtime. Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) algorithms into cloud-based data analysis platforms has augmented the capabilities of predictive analytics in the oil and gas industry. These advanced analytics techniques enable predictive maintenance, reservoir optimization, and demand forecasting, allowing companies to streamline operations and maximize resource utilization. The impact of cloud computing on real-time data analysis extends beyond operational efficiency to encompass broader industry trends such as digital transformation, remote monitoring, and collaboration. Cloud-based solutions facilitate remote access to data and analytics tools, enabling geographically dispersed teams to collaborate seamlessly and make informed decisions in real-time. The evolution of cloud computing has revolutionized real-time data analysis in the oil and gas industry, offering unprecedented opportunities to enhance operational efficiency, optimize resource utilization, and drive innovation. Embracing cloud-based analytics platforms is crucial for oil and gas companies seeking to thrive in an increasingly competitive and dynamic market landscape.
AI in Enterprise Resource Planning: Strategies for Seamless SaaS Implementation in High-Stakes Industries
Authors: Egbuhuzor Nnaemeka Stanley , Ajayi Ajibola Joshua , Akhigbe Experience Efeosa , Agbede Oluwole Oluwadamilola
Published: February 2025

Enterprise Resource Planning (ERP) systems play a pivotal role in streamlining business operations and improving decision-making in high-stakes industries such as healthcare, finance, and manufacturing. With the rise of Artificial Intelligence (AI), ERP solutions have undergone a paradigm shift, offering enhanced capabilities for real-time data analysis, predictive analytics, and process automation. This paper explores AI's transformative impact on ERP, with a specific focus on strategies for seamless Software-as-a-Service (SaaS) implementation in industries with critical operational demands. The integration of AI into ERP systems not only optimizes resource utilization but also mitigates risks associated with manual data handling and fragmented workflows. Key challenges in implementing SaaS-based AI-driven ERP solutions include data security, interoperability, scalability, and organizational resistance to change. This study presents a comprehensive framework to address these challenges, emphasizing AI-enabled data migration, adaptive learning algorithms, and robust cybersecurity measures tailored for high-stakes environments. Additionally, it highlights the importance of stakeholder engagement, training programs, and iterative implementation strategies to ensure smooth adoption and maximize ROI. Case studies from healthcare and manufacturing sectors illustrate successful AI-SaaS ERP adoption, showcasing significant improvements in supply chain optimization, financial forecasting, and regulatory compliance. The role of predictive analytics in anticipating operational bottlenecks and machine learning in automating repetitive tasks is emphasized, demonstrating tangible outcomes such as cost reduction, enhanced decision-making, and operational efficiency. This paper concludes by outlining future trends, including the integration of generative AI for custom ERP module development, AI-driven self-healing systems for real-time troubleshooting, and the use of natural language processing (NLP) for intuitive user interfaces. These advancements are poised to redefine ERP systems, empowering enterprises to navigate complex challenges in high-stakes industries with greater agility and precision.
Research on the Application of Cognitive Diagnostic Models in Assessment Evaluation
Authors: Peng Juan , Xu Mengxue
Published: February 2025

With the integration of cognitive diagnostic technology into the field of education, meeting individual learning needs has become possible. This study takes the “Excel Data Analysis” module in the “University Computer Basics” course as the research subject, aiming to evaluate the application effect of Cognitive Diagnostic Models in student assessment and evaluation. Through in-depth interviews with teachers and experts, the key competencies that students need to master were clarified, including data understanding and basic operations, data computation and processing, data management and analysis, data visualization, etc. This study constructed a DINA model, established a hierarchical structure of competence attributes, defined the Q-matrix and the ideal competence mastery pattern, and used the flexCDMs platform for parameter estimation, analyzing the test item parameters and the probability of students' competence attributes mastery. The results show that students perform well in “data computation and processing,” while “advanced analysis skills” need to be strengthened. The study provides evidence for teaching improvement, and although there are limitations, it points out the direction for future research.
Advancements and Challenges in Technology-Enhanced Foreign Language Education in China: A Comprehensive Analysis
Authors: Chen Wanting
Published: February 2025

In the digital era, the demand for technology in the field of education has significantly increased, with technological advancements playing a crucial role in enhancing both teaching and learning processes. This research reviews and analyzes the application of technology in foreign language education in China, focusing on various aspects such as curriculum construction, classroom teaching, student literacy development, and educational assessment. The study aims to provide a comprehensive overview of the current state of technology integration in foreign language education in Chinese context, identify existing limitations, and provide future perspectives. By examining the design, implementation, challenges, and future directions of technology-enhanced foreign language education, this research contributes to the broader understanding of how technology can be effectively leveraged to improve foreign language learning outcomes.
Educational Psychology in Special Education - Individualised Instructional Planning and Learning Enhancement
Authors: Zhang Juan
Published: February 2025

Students in special education face unique needs and challenges, and the application of educational psychology in special education is crucial. This paper describes the origin and significance of individualised teaching plans in special education, the main contents at home and abroad, the principles of formulation, steps and implementation strategies, discusses the application of educational psychology in learning and teaching, evaluation and improvement, learning disabilities and special needs in special education, and analyses the relationship between individualised teaching plans and learning outcomes, including increasing interest and motivation in learning, enhancing self-confidence and self-esteem, and promoting the overall development. It concludes by identifying the challenges faced by IEPs in special education and makes recommendations for future development.
Research on the Core Role and Strategies of Cross-Cultural Communication in Cultivating Globally-Oriented Business Talents
Authors: Rao Jiarong
Published: February 2025

As a result of globalization, intercultural communication is becoming a critical competence of the business people. This article looks at the role of the company in fostering the world's entrepreneurial talented people, and presents an efficient training program. The Committee points out that, although recognised, there is still a shortage of practice in entrepreneurial learning. In order to solve this problem, it analyses the cross-culture barriers that companies are confronted with and matches their requirements for developing education strategies. They enable students to achieve international success, as well as help businesses to deal with cross-culture conflicts and promote cooperation. This study has enhanced the theory basis of intercultural communication and provided new perspectives on business education, helping to develop people who have a global mind and good interpersonal skills.
Модель оцінювання ефективності стратегій в маркетинговому плануванні
Authors: Струк Н. Р. , Гомольська В. В.
Published: February 2025

Метою дослідження є характеристика особливостей оцінювання ефективності стратегій в маркетинговому плануванні. Об’єктом дослідження виступає стратегії маркетингового планування. Основне завдання статті являє собою розкрити найбільш вагомі засади процесу оцінювання ефективності стратегій в маркетинговому плануванні. Встановлено, що процес оцінювання ефективності стратегій у маркетинговому плануванні є одним з ключових механізмів, що дозволяє сучасним компаніям зберігати конкурентоспроможність і забезпечувати сталий розвиток. Завдяки систематичному моніторингу ключових показників та аналізу отриманих результатів, організації можуть швидко виявляти недоліки, реагувати на зміну запитів аудиторії та оптимізувати розподіл ресурсів. Цей підхід сприяє формуванню культури безперервного вдосконалення, коли маркетингові команди не лише вимірюють поточні показники ефективності, а й постійно експериментують, впроваджують нові інструменти та методи. Оцінювання дозволяє переконатися у відповідності реальних результатів запланованим цілям, тим самим полегшуючи процес коригування стратегії у разі виявлення відхилень. Важливо, що завдяки цьому процесу організації отримують розгорнуте розуміння мотивації та поведінки клієнтів, що сприяє створенню високоякісного клієнтського досвіду та підвищенню лояльності. Одним з центральних аспектів успішного оцінювання є визначення чітких цілей та показників успіху: вони слугують орієнтиром для всієї команди та задають тон всім маркетинговим ініціативам. Не менш важливою є й здатність оперативно розробляти коригувальні дії, коли щось іде не за планом. У результаті, компанії, які систематично і грамотно застосовують процес оцінювання ефективності маркетингових стратегій, здобувають низку конкурентних переваг: вони можуть швидше реагувати на зміни ринку, будувати стабільні зв’язки з аудиторією та формувати стратегічний запас міцності на майбутнє. Загалом, оцінювання ефективності стратегій у маркетинговому плануванні – це багатогранний процес, що поєднує аналіз результатів, формування висновків та впровадження коригувальних заходів. Правильне використання цього інструменту приносить відчутний позитивний вплив як на прибутковість, так і на динаміку розвитку бренду.
LITERATURA E HISTÓRIA: O DEVER DE MEMÓRIA DA DITADURA NO BRASIL
Authors: Freire José Carlos
Published: February 2025

O artigo discute a relação entre literatura e história no Brasil recente, tomando como referência os romances que tratam sobre a ditadura no país (1964-1985). Embora se busque uma visão panorâmica das últimas décadas, tem-se como referência principal o contexto da década passada (2010-2019), na qual se destacam os trabalhos da Comissão Nacional da Verdade. O artigo se inicia com a fortuna crítica a respeito do tema da literatura de memória da ditadura, na qual se apresentam os principais trabalhos de estudo e a articulação possível com a política de memória no Brasil e seus limites. Na sequência, propõe-se um breve aprofundamento sobre a relação entre literatura e historiografia. Por fim, indicam-se alguns desafios que emergem do estudo do tema, a saber: o drama da ficção, o drama da memória e o drama da história.
The Future of Automation in Financial Technology: Leveraging AI to Enhance Fraud Detection and Risk Management
Authors:   DevOps Project Manager, Sharma Vidushi
Published: February 2025

The financial technology (FinTech) sector has experienced rapid growth, and with it, the increasing complexity and
volume of financial transactions. Fraud detection and risk management are critical challenges for financial
institutions, as cyber threats continue to evolve. The integration of Artificial Intelligence (AI) into financial systems
offers promising solutions for automating these processes, improving their accuracy and efficiency. This paper
explores the potential of AI-driven automation in transforming fraud detection and risk management practices within
FinTech. The research examines existing literature, highlights key developments in AI technology, and evaluates the
effectiveness of AI models in detecting fraudulent activities and managing financial risk. The study presents a
comparative analysis of traditional versus AI-based fraud detection methods, providing evidence of the potential
benefits and challenges of AI integration. The findings suggest that AI can significantly enhance fraud detection
accuracy, reduce response times, and help institutions manage financial risks proactively. However, issues related to
data privacy, algorithmic transparency, and regulatory compliance present challenges that require further exploration.
The paper concludes by recommending future research directions and emphasizing the importance of a collaborative
approach between AI developers, financial institutions, and regulatory bodies to address these challenges.
Keywords: Artificial Intelligence (AI), Fraud Detection, Risk Management, Financial Technology (FinTech),
Machine Learning (ML), Deep Learning (DL), Predictive Analytics, Automated Systems, Regulatory Compliance,
Explainable AI (XAI), Operational Efficiency, Cybersecurity in Finance, Real-Time Data Analysis, Data Privacy,
Financial Risk Mitigation, AI Transparency, Legacy Systems Integration, Fraud Prevention Strategies
Evolution of Incident Response Plans: Lessons from Prominent Cybersecurity Breaches
Authors:   Portland, Oregon, US, shaik Sabeeruddin
Published: February 2025

Developing incident response plans (IRPs)
has become progressively essential following
prominent cybersecurity attacks. This research study
analyses the evolution of Incident Response Plans
(IRPs) by evaluating insights gained from significant
breaches, such as the Target data breach, the Equifax
breach, and the WannaCry ransomware assault. These
case studies underscore risks, effective strategies, and
the imperative for proactive measures, including
regular Incident Response Plans (IRPs) updates and
extensive team training. This document presents a
systematic methodology for creating resilient Incident
Response Plans to mitigate cybersecurity threats. This
study examines the integration of new technologies,
including artificial intelligence (AI), machine learning
(ML), and blockchain, into Incident Response Plans
(IRPs) to improve their efficacy and adapt to the swiftly
changing threat environment.
Keywords -Incident Response Plans, Cybersecurity
Breaches, Target Data Breach, Equifax Breach,
WannaCry, Risk Mitigation, Organizational Resilience,
Artificial Intelligence, Blockchain, Machine Learning
Mastering Dynamic Web Element Handling and Locator Strategies in Selenium
Authors: Chandrika Asha Rani Rajendran Nair
Published: February 2025

Web automation testing is essential for ensuring software quality and delivering seamless user experiences.
Selenium, a leading automation tool, empowers testers to create robust scripts for handling diverse and
dynamic web applications. However, challenges such as identifying dynamic web elements and crafting
effective locator strategies require advanced techniques. This article explores key solutions, including the use
of relative locators, dynamic XPath expressions, and custom attributes for stable element identification. It also
highlights the importance of employing the Page Object Model (POM) framework to enhance script
maintainability and scalability while addressing dynamic element challenges. Strategies like explicit waits,
retry mechanisms, and modular frameworks are discussed to improve test reliability and minimize failures. By
adopting these approaches, testers can overcome the complexities of modern web applications, streamline test
automation processes, and ensure the accuracy and resilience of their scripts. This enables faster testing cycles
and contributes to delivering high-quality software in dynamic environments.

Keywords: Web Automation Testing, Selenium, Dynamic Web Elements, Locator Strategies, Relative
Locators, Dynamic XPath, Page Object Model (POM), Custom Attributes, Test Automation Framework, Script
Maintainability.
Predictive Analysis of Remaining Useful Life (RUL) of Batteries: Review
Authors: Belkhode Sakshi , Chaudhari Dr. P.M. , Meshram Anjali , Nikhare Krutika , Rangari Shrushti , Chimurkar Sakshi
Published: February 2025

The increasing reliance on batteries for electric vehicles, renewable energy systems, and consumer electronics has
necessitated advancements in predictive models for their Remaining Useful Life (RUL). This paper reviews current
methodologies for RUL prediction, focusing on machine learning techniques, data-driven approaches, and hybrid
models that integrate physical laws. By addressing gaps in existing research and leveraging datasets like the NASA
Aging Dataset, this study identifies innovative pathways for enhancing battery health monitoring and predictive
accuracy. The findings contribute to improving battery management systems, reducing costs, and fostering
sustainability.
Keywords— Battery Remaining Useful Life (RUL), Machine Learning, Deep Learning, Physics-Informed
Models, Lithium-Ion Batteries, NASA Aging Dataset, Predictive Analytics, Real-Time Monitoring, Internet
of Things (IoT), Data-Driven Models.
YAML vs JSON for Configuration Management: A Technical Comparison
Authors: Sargunakumar Anishkumar
Published: February 2025

Configuration management plays a pivotal role in modern software development, enabling applications to adapt to
varying environments and operational needs seamlessly. YAML and JSON have emerged as the two most widely
adopted formats for configuration management. This paper provides a comprehensive technical comparison of
YAML and JSON, evaluating their syntax, readability, features, and use cases, particularly in Java-based
applications. It concludes with insights into choosing the appropriate format based on specific requirements.
Keywords: YAML, JSON, Java, Microservice
Nutritional Management in Cancer Cachexia
Authors:   Dietician, Tata Memorial Hospital, HBIN, Mumbai, Maharashtra, India, Timmanpyati Shivshankar , Canday Eileen , Samant Bhakti , Gore Varsha , Thakur Shilpa Chadha , Suryanarayana V Prashanthi , Sinha Tiash , Bhardwaj Shruti , Prem Rajeshwari , Ingtipi Dimi
Published: February 2025

Cancer cachexia is a multifactorial syndrome marked by progressive weight loss, muscle wasting, and systemic inflammation, commonly associated with advanced cancer. Its management poses a significant challenge due to the complex interplay of metabolic alterations, reduced appetite, and inflammation. Addressing the nutritional needs of patients with cachexia is a cornerstone of care, aiming to mitigate weight loss, preserve lean body mass, and enhance quality of life (QOL). Effective nutritional strategies include individualized meal plans enriched with energy-dense and protein-rich foods, alongside the use of specialized nutritional supplements. Pharmacotherapy, such as appetite stimulants, anabolic agents, and anti-inflammatory drugs, plays a crucial role in modulating metabolic dysfunction and supporting nutritional goals. Additionally, physical activity tailored to the patient's abilities has been shown to complement nutritional and pharmacological interventions by promoting muscle retention and functional independence. A multidisciplinary approach that integrates dietary support, pharmacotherapy, and exercise is essential for optimizing outcomes in cancer cachexia management and improving patient well-being.

Keywords: Cancer cachexia, Nutritional management in cancer, Malnutrition in cancer
An Exploratory Cum Prospective Study to Assess the Impact of Nutritionally Balanced Enteral Formula Feed in Critical Care Patients
Authors:   Gastroenterology - Surgical, General Surgery, CARE Hospitals, Banjara Hills, Hyderabad, Telangana, India, Reddy B Ravinder , Sahu Sambit , Reddy C V Kiran Kumar , Bhoite Rachana M , Immadisetti Praneeth , Unnisa Rayees , Sanghavi Arti , Satyavrat Vinita
Published: February 2025

Enteral Nutrition (EN) prevents malnutrition and promotes recovery in critically ill patients. Despite the benefits, current EN formulations are associated with concerns like gastrointestinal intolerance, electrolyte imbalances, and hyperglycemia. Balanced EN formulations improve recovery, reduce hospital stays, and enhance patient outcomes. This study evaluated efficacy and tolerability of a novel balanced EN formula in supporting patient recovery and reducing length of hospital stay in critically ill patients. The study included 19 hospitalized critically ill patients aged ≥18 years, with mean (SD) age of 52.4(14.98) years. EN intake was monitored for a minimum of 3-14 days or until discharge. Target calorie and protein intakes were evaluated in accordance with ASPEN/ESPEN guidelines 2019. The analysis of target macronutrient intake reported adequate levels in 17 (89.5) patients, with a mean (SD) daily caloric intake of 1737 (582.1) kcal, and 95% Class Interval (CI) ranging from 1646 to 1828 kcal. The mean (SD) of daily protein intake was 82.9 (27.78) grams. The mean (SD) hospital stay was 12.7 (9.39) days, with a Interquartile range (IQR) of 11 (7.0;18.0) days and a median of 8 days. Most patients showed improvements in micronutrient profiles and achieved electrolyte homeostasis without hyperglycemic episodes. Notably, no gastrointestinal (GI) complications were observed, and no prokinetic agents were administered, indicating tolerability and acceptance of the formula. No serious adverse events (SAEs) were reported. These findings suggest that the novel EN formula is effective in supporting the recovery of critically ill patients, while demonstrating favourable safety and tolerability profile.

Keywords

Critical Illness, Nutritional Support, Enteral Nutrition, Macronutrients, Micronutrients, Gastrointestinal Tract, Feed Tolerance, Prokinetics, ESPEN Guidelines
Alternative Sources of Potassium for Soybean Crops
Authors: Morais Yago Cesar Rodrigues , Campos Alex Oliveira , de Oliveira Lyvia Nunes Arantes , Souza Taina Aparecida Alves , Junqueira Erick , Arruda Natalia , Benett Cleiton Gredson Sabin , Benett Katiane Santiago Silva , Montes Rafael Maragoni
Published: February 2025

Over the last three decades, soybean production in the Brazilian agricultural sector has experienced significant yield growth. The soil must have adequate fertility to provide nutrients for good agricultural yield. This study aimed to evaluate the effect of different sources and doses of potassium on the soybean grain yield and its components. The experiment was conducted in the 2022/2023 crop season at the experimental field of the Goiás State University in Ipameri, GO. The experimental design used was randomized blocks arranged in a 3 x 5 factorial scheme, with three potassium sources potassium chloride (KCl: 58% K2O), Phonolite (Ph1:8% K2O and 25% Si), and Hydrothermalized Phonolite (HPh2:12% K2O and 25% Si) and five doses (0, 50, 100, 150, and 200 kg ha-1), with four replications. The management used the no-till system on sorghum straw planting the NEO 750 IPRO soybean cultivar. According to the results, there was an influence of the interaction between the factors only on the number of pods per plant. The potassium doses influenced the first pod insertion height, hectoliter mass, and grain yield. Based on the results, potassium fertilization using the alternative sources, Ph1 and HPh2, reached satisfactory grain yield levels compared to KCl, with the maximum grain yield value, regardless of the source, occurring at a dose of 138.18 kg ha-1 of potassium.
Bestuur en toezicht: gevolgen voor de opiniepraktijk
Authors: Batteram M. , Verbeek J.
Published: February 2025

Bestuur en toezicht: gevolgen voor de opiniepraktijk

Met de inwerkingtreding van het wetsvoorstel bestuur en toezicht is onder meer de tegenstrijdigbelangregeling voor bestuurders en commissarissen aanzienlijk gewijzigd. Deze wetswijziging heeft de aanleiding gevormd om de Nederlandse opiniepraktijk nader te belichten. In deze bijdrage komen onder meer de systematiek van de ‘legal opinion’ met betrekking tot de oude en nieuwe tegenstrijdigbelangregeling en de daarmee samenhangende vennootschappelijke besluitvorming aan de orde. Voorts wordt de betekenis van het Bibolini-arrest besproken vanuit het perspectief van een opiniegever. De bijdrage wordt afgesloten met enkele slotopmerkingen.
Concentratietoezicht en openbare biedingen
Authors: Glazener P. , Pabbruwe S.N.
Published: February 2025

Concentratietoezicht en openbare biedingen

In dit artikel komt een aantal praktische aspecten van het concentratietoezicht bij openbare biedingen in Nederland aan bod. De auteurs bespreken de verkrijging van zeggenschap in de context van openbare biedingen, het moment waarop een concentratie als gevolg van een openbaar bod moet worden gemeld, en het kopen van aandelen op de markt gedurende de looptijd van het bod. Daarnaast behandelen de auteurs de mogelijkheid om aan gestanddoening van het openbaar bod voorwaarden te verbinden met betrekking tot mededingingsrechtelijke goedkeuring, en de gevolgen van een verbod na gestanddoening van het bod.
Stakebuilding: een gewaagde gok op zekerheid of absoluut geen legitieme gedraging in het biedingsproces?
Authors: van der Vegt A.W.
Published: February 2025

Stakebuilding: een gewaagde gok op zekerheid of absoluut geen legitieme gedraging in het biedingsproces?

Om de kans van slagen van een voorgenomen openbaar bod te vergroten, kan een bieder besluiten een aandelenbelang in de doelvennootschap op te bouwen. Hoewel deze handeling niet ongebruikelijk is in het biedingsproces, bestaat er in de praktijk onduidelijkheid over de toelaatbaarheid hiervan, gelet op de regels ter voorkoming van marktmisbruik. In deze bijdrage gaat de auteur in op de bestaande onzekerheid en formuleert zij aan de hand van de bestaande en toekomstige regelgeving op dit punt een antwoord op de vraag die in de titel wordt gesteld.
Verzekeringssecuritisatie; wie wekt de entiteit voor risicoacceptatie tot leven?
Authors: Koopman R.P.L.M. , Lussenburg J.C.
Published: February 2025

Verzekeringssecuritisatie; wie wekt de entiteit voor risico-acceptatie tot leven?

Ongeveer zes jaar na de introductie van de entiteit voor risicoacceptatie in de Nederlandse toezichtwetgeving is er in de praktijk nog geen gebruik gemaakt van deze bijzondere entiteit. Bovendien lijkt de populariteit van verzekeringssecuritisatie in Nederland achter te blijven bij sommige andere landen in Europa en daarbuiten. In deze bijdrage wordt uitgebreid stilgestaan bij twee vormen van verzekeringssecuritisatie: securitisatie van verzekeringspremies en securitisatie van verzekeringsrisico's. Vanuit een praktisch oogpunt wordt bekeken hoe verzekeringssecuritisatie naar Nederlands recht kan worden vormgegeven. Daarbij wordt onder andere aandacht besteed aan de rol die een entiteit voor risicoacceptatie in een securitisatietransactie kan spelen.
Hubungan Pengetahuan dan Sikap dengan Perilaku Higiene Sanitasi Penjamah Makanan pada Food Court Baseball UNESA Ketintang
Authors: Engga Reni Setyaningrum  , Rahayu Dewi Soeyono
Published: February 2025

The Baseball Food Court is one of the facilities provided by Surabaya State University to meet the food needs of campus residents at Surabaya Ketintang State University. Food contamination can occur in the Food Court environment if food is not processed properly and in accordance with food sanitation hygiene guidelines and can threaten public health. This research aims to determine the relationship between knowledge and attitudes and the sanitation hygiene behavior of food handlers at the UNESA Ketintang Baseball Food Court. This research is a quantitative study with a cross sectional design with a sample size of 20 people. The respondents in this study were food handlers at the UNESA Ketintang Baseball Food Court. The data analysis used in this research was the Chi Square Test. The results of this study show that there is a relationship between knowledge and behavior of food handlers with a p-value of 0.001 and there is a relationship between attitudes and behavior of food handlers with a p-value of 0.007. The conclusion of this research is that food handlers at the UNESA Ketintang Baseball Food Court already have good sanitation knowledge, attitudes and hygiene behavior. So it is recommended that food handlers at the UNESA Ketintang Baseball Food Court continue to maintain and be able to improve their knowledge, attitudes and food sanitation hygiene behavior so that they remain in a good category.
Hubungan Kebiasaan Sarapan terhadap Status Gizi dan Tingkat Konsentrasi Belajar Siswa di SMP Kemala Bhayangkari 7 Porong Sidoarjo
Authors: Nabila Cahya Listiyapuji  , Satwika Arya Pratama
Published: February 2025

Breakfast is an activity of eating and drinking from waking up until 9am. Breakfast mainly consists of sources of fiber, high protein, and low fat. If breakfast is often left out, it can affect the nutritional status and level of learning concentration in students. The purpose of this study was to identify the correlation of breakfast habits on nutritional status and the level of student learning concentration at Kemala Bhayangkari 7 Porong Sidoarjo Junior High School. The method of this study was quantitative correlation with a crosssectional design. The sample was taken by purposive sampling with the number of samples in this study was 85 students in class VII and VIII who fulfilled the inclusion criteria. The data obtained were statistically tested using the Chi-Square test. Based on the test results that have been conducted, Kemala Bhayangkari 7 Porong Sidoarjo Junior High School students on average had breakfast habits that falls into the occasional category 43.52%, on average had normal nutritional status 56.47%, and the average level of learning concentration was good 57.64%. There was no relationship between breakfast habits and nutritional status of students at Kemala Bhayangkari 7 Porong Sidoarjo Junior High School (p=0.088), and there was a significant relationship between breakfast habits and students' learning concentration at Kemala Bhayangkari 7 Porong Sidoarjo Junior High School (p=0.000).
Analisis Hipertensi di Kalangan Mahasiswa Fakultas Kesehatan Masyarakat Universitas Halu Oleo
Authors: Wa Ode Salma  , Irma Yunawati  , Nurnashriana Jufri  , Elzalika Aisyiyah Agsya  , Ninda Garnawati  , Ayu Silpina  , Nur Satya Maliany  , Zainal Zainal  , Claudia Fena Nur
Published: February 2025

Blood pressure is the amount of blood flowing through blood vessels, and its normal value is <120/80 mmHg. Unbalanced blood pressure, such as hypertension (>140/90 mmHg) or hypotension (<90/60 mmHg), can be harmful to health. Hypotension causes dizziness and fainting due to inadequate blood supply, while hypertension increases the risk of heart disease, stroke and kidney failure. Hypertension in adolescents is influenced by lifestyle, obesity, stress, sleep duration and family history.
Referat Radiology Emergency : Fraktur Regio Thorak
Authors: Ummi Issayyidah  , Muhammad Azmi
Published: February 2025

Emergency situations can come from trauma or non-trauma. Fracture is a term for total or partial loss of continuity of bone, cartilage, usually caused by trauma. Fracture is a condition where there is an incontinuity in bone integrity. Thoracic trauma causes 20% of all deaths due to trauma. The radiological modalities that play the biggest role in emergency cases are plain photo/radiography, ultrasound (ultrasound), and computerized tomography (CT-Scan). Magnetic Resonance Imaging (MRI) or nuclear medicine can in many cases provide more accurate results. Some emergency thoracic fractures are costae, sternum and vertebrate fractures.
Hubungan Status Gizi Terhadap Keluhan Disminore Pada Mahasiswi Universitas Bali Dwipa
Authors: Komang Tia Juni Astuti
Published: February 2025

Women, especially teenagers, often experience dysmenorrhea during menstruation.  The lower part of the stomach is where this discomfort occurs.  The aim of this research is to find out how dietary status influences dysmenorrhea complaints in Bali Dwipa University students. The quantitative descriptive survey method was used in this research. The research sample obtained using a stratified sampling approach was 30 people from a total population of 43 people. The frequency distribution of each variable was analyzed and the chi square test was used to determine the relationship. Research findings show that nutritional status has an impact on female students' dysmenorrhea symptoms. This research aims to deepen understanding and serve as a guide for further research. Apart from that, it is believed that this research can provide further information which can then provide suggestions regarding solutions related to this problem, especially those related to dysmenorrhea complaints in female students.
Hubungan Antara Tingkat Stres dengan Status Gizi pada Mahasiswa Akhir Fakultas Kedokteran Universitas Lampung
Authors: Zefanya Angie  , Reni Zuraida  , Ramadhana Komala  , Bayu Anggileo Pramesona
Published: February 2025

Stress is a psychological condition that can affect nutritional status through changes in eating patterns and body metabolism. This study aimed to analyze the relationship between stress levels and nutritional status among final-year medical students at the Faculty of Medicine, University of Lampung. The study was conducted from November 2024 to January 2025 using a cross-sectional approach. The population consisted of final-year medical students in the 2024 academic year. A total of 141 students were selected using a simple random sampling technique. Data analysis was performed using the gamma correlation test. Stress levels were assessed using the Medical Student Stressor Questionnaire (MSSQ), while nutritional status was measured through anthropometric assessments. The results showed that 34.8% of respondents had an overweight or obese nutritional status, and 44.7% experienced moderate stress levels. Bivariate analysis revealed a significant relationship between stress levels and nutritional status (p = 0.033, p < 0.05) with a weak positive correlation (r = 0.260). This positive correlation indicates that higher stress levels are associated with an increased risk of being overweight or obese. In conclusion, this study demonstrates a significant relationship between stress levels and nutritional status among final-year medical students. These findings highlight the importance of effective stress management to prevent the risk of excessive weight gain and its potential contribution to degenerative diseases.
Perbandingan Financial Distress pada Perusahaan Sub Sektor Konstruksi BUMN yang Terdaftar di Bursa Efek Indonesia (BEI) Era Presiden Susilo Bambang Yudhoyono dan Presiden Joko Widodo
Authors: Siti Masrofah  , Gilang Kharisma Putra
Published: February 2025

The study aims to analyze the comparison of financial distress levels in the construction sub sector companies of BUMN listed on the Indonesian Stock Exchange (BEI) during the presidency of Susilo Bambang Yudhoyono and Joko Widodo. The quantitative method is used in this study to analyze financial data obtained from the annual reports of companies listed in the BEI. The main variables used in the study include relevant financial ratios such as the working capital ratio to total assets, the ratio of profit before interest and tax to the total asset, the profit ratio before tax to total liabilities smoothly, the sales ratios to total Assets. The data collected covered the period of two reigns, the Susilo Bambang Yudhoyono era (2009-2012) and the Jokowi era (2019-2022). The analysis was conducted using descriptive statistical techniques and paired sample t-test tests to identify significant changes in financial distress during the two leadership periods. This research found that there was a significant difference in the level of financial distress between the two eras. The findings make important contributions to understanding how economic policies and leadership changes can affect the financial health of BUMN companies in the construction sector, as well as providere commendations for future financial risk management.
Sistem Pendukung Keputusan untuk Mengevaluasi Kinerja Karyawan pada PT Tempo Scan Pasific dengan Metode Analytical Hierarchy Process (AHP)
Authors: Dian Mayasari
Published: February 2025

Employee performance evaluation is a crucial aspect of human resource management, as it helps maintain and enhance employee productivity while influencing decisions related to promotions, salary increases, and career development. This study aims to develop a decision support system using the Analytical Hierarchy Process (AHP) method to assist decision-making teams in evaluating employee performance objectively, systematically, and meritocratically. The system is designed to minimize potential errors in the evaluation process, enabling more accurate and fair assessments in identifying the best employees. Consequently, the findings of this study are expected to contribute to the overall improvement of the company's performance in the future.