bluuebunny/crossref_metadata_2025 huggingface dataset:
Avec X. en route pour B.
Authors: Lubrich Oliver
Published: December 2024

Le Voyage secret (1949) de Marcel Jouhandeau (1888-1979) est l’histoire d’un amour interdit. Le roman poétique est aussi un récit policier. Car il contient des indices cachés qui trahissent l’auteur et rendent visible le contexte historique: À l’automne 1941, un écrivain français participe à une tournée de propagande dans l’Allemagne nazie à l’invitation de Joseph Goebbels. Il tombe amoureux de l’officier allemand qui l’organise. Et il semble se douter qu’il s’est engagé avec les mauvaises personnes. Jouhandeau a à la fois codé avec art et suggéré subtilement sa collaboration. Son voyage secret parle de la séduction du fascisme et de la difficulté d’en prendre conscience. L’article prend en compte pour la première fois le journal de voyage original de Jouhandeau, conservé dans les archives françaises sous forme de manuscrit et de tapuscrit, transcrit et édité par l’auteur.
Hinaus in die Ferne! Lebensreform et randonnée
Authors: Milon Claire
Published: December 2024

La randonnée se développe à la fin du xixe siècle en Allemagne et entretient une certaine proximité avec les mouvements de la Lebensreform, comme pratique du corps et pratique de nature. En tant qu’activité de plein air, la randonnée est par nature spatialisée. Elle est un mouvement de fuite hors des villes, qui met en relation l’espace urbain, dessiné en négatif, et les espaces perçus comme « naturels », territoires d’explorations corporelle et intérieure. Au fondement même de la randonnée, l’itinérance suppose l’acquisition de compétences spatiales et techniques particulières. La randonnée est un mouvement de la Lebensreform au sein duquel se joue un double rapport avec l’espace : l’activité n’a de sens que par les territoires traversés, mais ces lieux sont dans le même temps transformés par la présence des randonneuses et randonneurs.
Hearing Aids and Speech Intelligibility Enhancement
Authors: Khristo Youssef Girgis Dimitry , Fawzi Sahar Ali
Published: December 2024

Hearing is a crucial human sense, and its loss significantly impacts a patient's daily life. Hearing loss, the inability of the ear to convert sound waves into interpretable signals by the brain is classified as mild, moderate, or severe. According to WHO, 1.5 billion people suffer from hearing loss, 25% are over 60, and 80% live in low- and middle-income countries. Hearing loss in childhood leads to underdeveloped speech and learning difficulties. Hearing loss generally leads to social isolation, reduced community participation, and lower educational and employment opportunities. People with mild to severe loss use hearing aids, while the profoundly deaf use sign language. Accessible communication aids promote social and economic sustainability. Hearing aid technologies have evolved, focusing on rechargeable batteries and recycling programs. Innovations include smartphone-based hearing aid apps and machine learning for sound enhancement. Policies supporting obtaining hearing aids and services are crucial for sustainability and well-being.
Active-Reconfigurable Intelligent Surfaces for Unmanned Aerial Vehicles
Authors: Widodo Agung Mulyo , Wisnujati Andika , Prasetyo Eko , Rahaman Mosiur
Published: December 2024

This study investigates the integration of unmanned aerial vehicles (UAVs) in air combat, focusing on their role in the battlefield management system (BMS) for effective communication and data management. Utilizing UAVs minimizes pilot casualties and enables real-time decision-making. The chapter examines resource allocation in ultra-dense networks using active-reconfigurable intelligent surfaces (A-RIS) assisted non-orthogonal multiple access (NOMA). It explores the coverage performance and ergodic capacity in a NOMA network under Nakagami-m fading channels, employing a multi-input multi-output (MIMO) system with RIS elements. The results demonstrate the superiority of RIS-assisted NOMA over conventional methods, offering enhanced coverage probabilities and ergodic capacity. The study concludes that the integration of A-RIS in UAVs significantly improves battlefield communication, highlighting its potential in military applications.
Innovative Horizons
Authors: Pappachan Princy , Sreerakuvandana  , Piyakanjana Siwada , Syofyan Harlinda , Nugroho Gunawan
Published: December 2024

The introduction of robotics and AI represents a paradigm shift in the quickly developing field of special education, providing unprecedented opportunities for improving learning opportunities. The chapter highlights this by examining how these technologies are changing how special education is taught to students with special needs. The transformative role of AI and robotics is evident in how they have moved from auxiliary tools to central elements in fostering adaptive and inclusive learning environments. The chapter delves into personalized learning, highlighting AI's role in customizing educational content to individual styles and enhancing strategy efficacy through data-driven insights. The chapter also explores the role of robotic assistants in interactive teaching and therapy, enhancing physical, sensory, and cognitive skills. Additionally, by addressing ethical concerns and advocating a balanced approach to technology use, the chapter provides educators, researchers, and policymakers with a thorough and forward-looking perspective on AI and robotics in special education.
Two Sides of the Same Coin
Authors: Kumar J. Ganesh , Menon Adithi Ramesh
Published: December 2024

To delve into the realms of special education and inclusive education through intricate methods of research that aim to unwind the concepts based on biological, psychological, and societal factors. Special education is more about providing individualized training for differently-abled students and teachers handling them whereas, inclusive education inclines towards the integration of differently-abled students into mainstream classrooms. Inclusive education looks forward to building an environment that helps students with special needs to work with others which helps them to interact and grow. The study looks forward to integrating both special education and inclusive education to draw parallels and create a more feasible strategy for the betterment of differently-abled students
Enhancing Student Well-Being
Authors: Singha Ranjit , Kanna S. Yogesh
Published: December 2024

In the pursuit of promoting student well-being, it is imperative to incorporate the biopsychosocial model into educational practices as the field of education progresses. This chapter underscores the importance of integrating health education throughout the curriculum to address students' comprehensive requirements. The CHRIST peer education system (PES), considered a university, serves as a model for student support by encouraging resilience, acceptance, and empowerment via peer-led initiatives. By fostering constructive peer connections and advocating for mental health consciousness, PES establishes a nurturing milieu that instils a sense of worth in each person. Furthermore, a CHRIST PhD research scholar's creation and validation of a multidimensional addiction behavioural instrument constitutes an essential turning point in addiction research. Built upon the foundation of the biopsychosocial model.
Learning Mathematics Online Is Daunting
Authors: Dookwah Rhonda , Julien Gabriel
Published: December 2024

The dissatisfaction and disenchantment of some undergraduates at the beginning of a Mathematics course online have been consistent over the years. Their disappointment is a consequence of their lack of self-confidence and motivation in studying mathematics online. The perspectives and sentiments were generated by these students who were enrolled in a general education foundation course in mathematics at Hibiscus University in Trinidad and Tobago. A review of the literature indicated there is a dearth of information at the local level. This gap in the literature motivated the authors to properly investigate the experiences of these students about their dislike for the learning of Mathematics online. A qualitative methodology, which incorporated a phenomenological approach was used. Seventy-two students completed semi-structured questionnaires, which were distributed through the Google Meet Learning Management System. The original four-step thematic analytical approach was used to interpret the data.
Elections in Neutrosophic Key
Authors: Gifu Daniela
Published: December 2024

This paper explores the innovative application of neutrosophic logic to the analysis of Romanian electoral discourse for 2024. Neutrosophic logic, which integrates indeterminacy alongside classical and fuzzy logic. The study introduces (t, i, f)-Neutrosophic Elections Structures, a novel concept for evaluating election context, including voter behavior, by combining insights from linguistics, sociology, cognitive psychology, and communication studies. By modeling voter preferences, candidate qualities, and election outcomes, neutrosophic sets address the inherent uncertainties and contradictions in political behavior and public opinion. Romania's proportional voting system and the evolving electoral landscape, including the participation of independent candidates and multiple ballots, provide a rich context for this analysis. The findings suggest that neutrosophic logic can enhance the accuracy and reliability of electoral discourse analysis, shaping the nation's political trajectory and contributing to more informed decision-making.
Hydro-Chemical Investigation and Quality Assessment of Groundwater Industries
Authors: Pavithra N. , C. R. Ramakrishnaiah
Published: December 2024

This study assesses groundwater quality for drinking purposes in and around the Peenya Industrial Area using the Water Quality Index (WQI) method, focusing on 11 key physio-chemical parameters. The calculated WQI values range from 39.10 to 224.16, revealing that while 74% of groundwater samples outside the industrial area are drinkable, 83% within the area fall into a poor category, indicating unsuitability for consumption. Hydro-chemical facies analysis during the pre-monsoon season shows a Ca-Mg-HCO3 water type. ArcGIS was used to create geographical distribution maps for clearer spatial analysis. The study highlights the necessity of frequent groundwater monitoring and suggests that integrating soft computing techniques can improve prediction accuracy, facilitate trend analysis, and optimize long-term groundwater quality management in industrial regions.
Optimization in Control Systems Engineering for Renewable Energy
Authors: Babu C. V. Suresh , V. L. Kalyan Kumar , Kishore Kathari Hima , Dhas A. Doni
Published: December 2024

This study aims to explore the integration of soft computing and optimization models in enhancing the efficiency of renewable energy systems. Employing a multi-disciplinary approach, the research utilizes advanced algorithms, including genetic algorithms and artificial intelligence techniques, to optimize resource allocation and improve decision-making processes. Key findings indicate that hybrid renewable energy systems (HRES) significantly enhance energy reliability and sustainability while minimizing environmental impacts. The study concludes that the application of AI and soft computing methodologies can lead to more robust and adaptive energy management solutions, ultimately contributing to a sustainable energy future. The implications of this research highlight the necessity for continued innovation in renewable energy technologies and the importance of ethical considerations in AI deployment.
Optimizing Arduino Programming for IoT Devices Using Quantum and AI Techniques
Authors: V. G. Ajay , Vagdevi S. , Vindhya R. , Hiregoudar Shruti B. , Sasi Smitha , A. P. Jyothi
Published: December 2024

The chapter discusses the utilization of advanced methodologies like Quantum Computing and AI in optimizing Arduino programming in IoT devices. The increasing popularity of IoT devices necessitates a growing need to enhance their performance and efficiency. It provides an in-depth explanation of the fundamental principles of Arduino programming and the challenges associated with IoT system programming.It then introduces Quantum Computing concepts, showing how quantum algorithms may resolve complex computational problems more efficiently than classical methods. In this respect, the chapter further goes into AI techniques, including machine learning and neural networks, to provide enhanced decision-making and prediction capabilities in IoT ecosystems. This chapter proposes a framework combining Quantum Computing and AI to optimize performance in IoT devices, demonstrating practical examples and combining them with Arduino-based systems.
Sustainable Approaches for Groundnut Storage Protection
Authors: Chowdhury Lalit , Dash Manoja , Mohapatra Sarada , Mohanty Debashis , Chowdhury Sushree , Sahoo Prakash Kumar
Published: December 2024

The chapter investigates the bioefficacy of various botanicals against Caryedon serratus (groundnut beetle) under laboratory conditions over a year. The study tested powders, ethanolic extracts, chromatographic fractions, essential oils, and pellets derived from various plants at 1% concentration. Among the tested botanicals, powders and active components of Carum copticum, Acorus calamus, Ocimum sanctum, and Syzizium aromaticum exhibited 100% protection of groundnut pods/kernels. Essential oils such as Nilgiri (Eucalyptus), Citronella (Cymbopogon nardus), Camphor (Cinnamomum camphora), and Crown oil (Shorea robusta), as well as pellets of Camphor, Carum copticum, and Mentha spicata (Peppermint), were highly effective. The LD50 values were found to be 0.5% v/w and 0.5% w/w, respectively. Active compounds like 1,8-Cineol and α-pinene were identified using GC-MS analysis. These phytoproducts, due to their strong aromatic nature, show potential as fumigants or insect repellents for protecting stored groundnuts.
AI-Driven Real-Time Stock Market Analysis Using IoE
Authors: Joghee Mehta Vani , Saravanan G. , Mehta Yogesh , Chouhan Vineet , Teltumbade Ganesh Ramesh , George A. Shaji
Published: December 2024

The combination of Artificial Intelligence (AI) and the Internet of Everything (IoE). By utilizing the extensive connectivity provided by the Internet of Everything (IoE), enormous amounts of data about stock requests are gathered and reused in real time. A strategy that is driven by artificial intelligence makes use of sophisticated machine learning algorithms to analyze this data, recognize patterns, and forecast future demand trends. The armature of the system incorporates a variety of data sources, such as various social media platforms, financial news, and profitable suggestions, which enhances the system's ability to make accurate predictions. An in-depth performance test reveals that the system is capable of providing timely and accurate stock request perceptivity, beating classic logical approaches in the process. The findings highlight the possibility of combining artificial intelligence and the Internet of Things to improve stock request research. This would provide investors with information that applies to their situation and encourage further informed decision-making.
VLSI Solutions for Real-Time Financial Risk Management
Authors: Majeed Mohammed Rasheed , Ali Aqeel , Hatem Ali Selman , Alkhayyat Ahmad
Published: December 2024

With a specific emphasis on the necessity of rapid-fire data processing and decision-making in the context of fiscal requests, it discusses how the discoveries of VLSI can significantly increase the speed and efficacy of threat assessment algorithms. Specifically, it focuses on how these algorithms can be more effective. The design and implementation of very large-scale integrated circuits (VLSI) that are optimized for financial computations are being researched as part of this investigation. Specifically, the circuits' capacity to process complex, high-frequency trade data with a minimum of downtime is the focus of special emphasis. The research suggests that there are implicit advantages in prophetic delicacy and real-time responsiveness, both of which are essential for reducing the risks associated with financial transactions. These developments are proven by the incorporation of these outcomes that are associated with the enhanced strategy. VLSI technology has had on the financial sector is brought to light, the robustness and trustability of threat operating networks.
AI and IoE for Real-Time Organizational Workflow Management
Authors: Bhakuni Seema
Published: December 2024

The increased logical capabilities of artificial intelligence (AI) and the connected networks made possible by the Internet of Everything make it possible for businesses to achieve levels of efficiency and responsiveness that were before unattainable. The purpose of this research is to evaluate the potential synergistic relationship that exists between artificial intelligence and the Internet of Things. How real-time data gathering, analysis, and decision-making can boost overall productivity, streamline procedures, and reduce time-outs are given special focus throughout this article. This article takes a look at some of the most essential activities in diligence, highlighting how the integration of these operations makes it possible to have visionary operations, prophetic conservation, and efficient resource allocation. Some of the topics that are covered in the article include the necessity of having a strong structure, the importance of data security, and businesses that specialize in sequestration.
Smart Grid Optimization Using VLSI and IoE
Authors: Umamaheswari P. , Kumar Naresh , Bonde Roshan Kisan , Deep Kavila Moni Sushma , Madhuri Yasarapu Sudha , Kumari P. Ratna
Published: December 2024

This article investigates the intersection of technology known as veritably Large Scale Integration (VLSI) with the Internet of Everything (IoE). The incorporation of VLSI makes it possible for the grid to execute data processing and communication at a high speed and with more efficiency, hence improving the grid's overall performance and reliability. In the meantime, the Internet of Everything (IoE) makes it possible to achieve faultless connectivity among various grid components, which in turn enables real-time monitoring and dynamic operation of energy coffers. The frame that has been presented makes use of modern VLSI infrastructures and Internet of Everything protocols to handle critical difficulties in smart grid optimization. These challenges include energy efficiency, cargo balancing, and fault tolerance. The paper that considerable gains have been made in grid effectiveness and responsiveness through a series of simulations and practical executions. The findings highlight the possibility of merging VLSI and IoE technologies to create a smart grid structure.
Real-Time Pharmacovigilance Using Signal Processing
Authors: Umare Komal , Chavan M. , Shaik Nazeer , Maheswari P. Uma , Shivaram K. T. , Prasanth P. Vishnu
Published: December 2024

The purpose of this project is to investigate the possibility of incorporating sophisticated signal processing algorithms with real-time data access from a variety of healthcare sources. The major objective is to identify and evaluate pharmaceutical safety signals in a manner that is both more immediate and direct than conventional methods. The suggested system can identify abnormalities that are indicative of implicit adverse drug reactions (ADRs) by utilizing real-time data aqueducts from electronic health records, social media and other relevant platforms. such as filtering, transformation, and pattern recognition, help distinguish significant signals from noisy data. Based on the data, it appears that real-time pharmacovigilance has the potential to considerably improve drug safety monitoring, which in turn can result in rapid reactions that do not require supervision and improved patient safety. In the field of pharmacovigilance, this technique marks a paradigm shift, moving away from retrospective analysis and towards visionary, real-time surveillance.
The Brain as a Market
Authors: Balanagu Sesha Sai Nikitha , Boppisetty Jaswanthi
Published: December 2024

The integration of quantum AI and neuromarketing heralds a new direction in the analysis and forecast of consumer behavior. MRI and EEG techniques were beneficial in discovering the structural paths involved in decisions, but quantum AI enhances the accuracy and data analysis depth to decoding the underlying consumers' responses. Relatively, this chapter explains the historical development of neuromarketing, incorporating basic ideas in quantum computing and its relevance in marketing. To illustrate this approach we examine real world, practical applications and how these innovative tools are being used to create unique messaging that appeals to the emotions and effective reasoning of the consumer. The chapter also includes discussions on other concerns linked to the utilization of such strong technologies, relating to privacy and autonomy. With quantum AI on the rise for future developments in consumer behavior analysis, it is important for the researchers, marketers, and policymakers to follow a structured approach which is made available in this chapter.
Quantum Computing Principles and Potential in Marketing
Authors: Chakraborty Shreemanti , Poguri Chandra Hasini , Vangala Gouthami
Published: December 2024

This research proposal delves into the transformative potential of integrating quantum computing and artificial intelligence (AI) into the field of neuromarketing. Neuromarketing, which leverages neuroscience to decode consumer behaviour, is on the brink of a significant revolution due to advancements in AI and quantum computing. This study aim to explore how these technologies can enhance our understanding of consumer preferences, improve marketing strategies, address the ethical consideration,
The Role of Quantum Machine Learning in Optimizing Neuromarketing Insights for Retail and E-Commerce
Authors: Tanguturi Rama Chaithanya , Devendran A. , Umarani S.
Published: December 2024

Neuromarketing combines neuroscience and traditional marketing to uncover the emotional and cognitive drivers behind consumer behavior. As retail and e-commerce sectors increasingly rely on customer data for personalized experiences, the complexity of large datasets often surpasses classical machine learning capabilities. This gap allows Quantum Machine Learning (QML) to emerge as a transformative solution, enhancing predictive power and efficiency in neuromarketing. QML improves data processing speed and pattern recognition, enabling companies to gain deeper insights into consumer preferences and engage customers more personally. This chapter evaluates QML's applications in retail and e-commerce, highlighting how quantum algorithms can overcome current AI limitations regarding speed and precision. It also addresses data privacy concerns, emphasizing ethical data handling practices to foster consumer trust. Ultimately, the chapter envisions QML as a pivotal technology that will redefine consumer engagement and optimize marketing strategies in an increasingly data-driven landscape.
Untact, Immersive, and Hyperpersonalized
Authors: More Pratik , Sapre Sneha
Published: December 2024

The advertising industry has seen a lot of changes and innovations, and most of these can be attributed to hyperpersonalization and futuristic technologies such as AI, blockchain, and augmented reality (AR) among other. This chapter assesses the transformation of advertising from traditional mass marketing of products and services to modern data-centric customized advertisements that appeal to an individual's preferences, behavioral biases and feelings. As businesses take control of AI and machine learning in the real time optimization of advertisement delivery, the ethical issues around privacy, use of data and transparency become vital. The chapter looks at emerging trends such as immersive advertising in the metaverse and short-form video ads, and discusses the impact of location-based advertising (LBA) on consumer engagement. Hyperpersonalization will offers opportunities for brands, but solving the consumer trust and regulatory compliance remains a challenge. This chapter seeks to provide insights into balancing innovation with ethical advertising practices for the future.
The Role of Robotics in Smart Manufacturing
Authors: Ayyaswamy Kathirvel , Gobinath V. M. , Sathya V. , Kathirvel Naren , Anthony Raj A.
Published: December 2024

The integration of robotics poses challenges and opportunities for human workers. While automation has the potential to eliminate routine and hazardous tasks, it also necessitates upskilling and reskilling of the workforce to operate, program, and maintain robotic systems. The review examines the socioeconomic impacts of increased automation, discussing potential shifts in employment patterns and the need for a strategic approach to workforce development. This review provides a comprehensive analysis of the advances in robotics within manufacturing and their profound implications on the workforce. Striking a balance between automation and human collaboration is crucial for the future of manufacturing, emphasizing the importance of proactive strategies to harness the benefits of robotics while ensuring a resilient and adaptable workforce. The results highlight how vital robotics is to the evolution of manufacturing toward more economical, efficient, and sustainable processes.
A Review of Quantum Artificial Intelligence-Based Schemes for High-Speed Manipulation of Delta Robots
Authors: Nisha  , Sharma Vishal Kumar , Saharan Sandeep , Joshi Shyam Krishan , Wani Niyaz Ahmad
Published: December 2024

Delta robots, known for their high-speed precision in industrial applications, have seen significant advancements with the integration of AI and Quantum Artificial Intelligence (QAI). These intelligent systems improve decision-making, optimize movement trajectories, and enhance speed and accuracy in dynamic environments. This chapter reviews AI and QAI schemes for high-speed manipulation of Delta robots. AI models like machine learning have shown improvements in controlling complex systems, while QAI, leveraging quantum computing, offers even greater computational efficiency and faster problem-solving, ideal for real-time manipulation. By examining both paradigms, this chapter highlights their contributions to boosting Delta robots' performance, particularly in high-speed tasks where precision is key. The potential of QAI to tackle challenges faced by classical AI positions Delta robots at the forefront of quantum-enhanced automation.
Determination of the Optimum Composition of Chitosan-Grafted Cellulose/TiO2 Films Using the Box Behnken Design Method
Authors: Fathana Haya , Lubis Surya , Adlim Muhammad , Rahmi Rahmi
Published: December 2024

Determination of the optimum composition of chitosan-grafted cellulose/TiO2 film was performed using the Box-Behnken Design method from Response Surface Methodology (RSM). Apart from being able to determine the best composition for a composite, this method can also determine the influencing factors of the composition on the performance of the composite. This method was conducted by combining factorial group design. This design used three factors and three levels. Adsorption capacity data from the adsorption process and percent removal from the photocatalyst process were used as responses in determining the optimum composition of chitosan-grafted cellulose/TiO2 films. Based on the results, the counterplot of grafted cellulose vs TiO2 shows that both variables have the same influence, where the more grafted cellulose and TiO2 added to the composite, the more adsorption capacity of the chitosan-grafted cellulose/TiO2 film. The results from determining the composition, obtained the best composition, namely chitosan; grafted cellulose; TiO2 each of 0.85; 0.2; 0.2 g.
The Study of Mechanical Properties and Chemical Groups of Composite Concrete
Authors: Yusra Andi , Hasan Muttaqin , Husin Husni , Aulia Teuku Budi , Baharuddin Baharuddin , Ramadhan Syahril , Fachruddin Fachruddin , Sanusi Sanusi
Published: December 2024

The use of hemp fiber is capable of increasing the compressive and tensile strength, along with enhanced ductility in concrete. Shell ash also contains calcium compounds that improve the properties of concrete. Therefore, this study aimed to measure the compressive and tensile strengths of concrete as well as the chemical functional groups of hemp fiber. To achieve this, hemp fiber (additive) and 6% shell ash (filler) were added to the concrete mixture, targeting a design strength of 25MPa. The results showed that the average compressive strength of concrete after 28 days obtained a minimum value of 25.668MPa with 0.5% fiber and the maximum strength was 33.446MPa with 1.5% fiber. The split tensile strength test of the concrete after 28 days obtained a minimum value of 1.982MPa, and a maximum of 2.831MPa. These results showed that adding hemp fiber at approximately 1.5% to concrete improved the compressive strength by 4.74% and the split tensile strength by 3.47% compared to conventional concrete. Furthermore, the FTIR test showed that the shape of the wavelength spectrum diagram and the area of chemical bond peaks were the same among hemp, plastic, and other natural fibers.
Improvement of the Polyvinilydene Fluoride Membrane by Incorporating of Cellulose Nanocrystals as Modifying Agent
Authors: Sofyana Sofyana , Arahman Nasrul , Supardan M. Dani , Muslim Abrar , Maharani Fuan , Putri Radika
Published: December 2024

Modification of polymer solution with various additive is generally conducted to improve the membrane performance. In this study, we investigate the modification of Polyvinylidene fluoride (PVDF) membranes by addition of cellulose nanocrystals (CNC) into polymer solution. The effect of the addition of 0.5 wt% of CNC was studied in detail on the membrane structure, water content, and its filtration performance. The water content of the modified PVDF membrane with CMCs was higher than that of the pristine PVDF membrane. Pure water flux shows a similar trend with the addition of 0.5wt% CNC, which correlates with the results of porosity and membrane swelling tests. The increase in water content, permeability, porosity, and swelling indicates an improvement in the antifouling properties of the membrane. This research provides insight that the addition of CNC enhances the performance of PVDF polymer membranes for use in water treatment.
Flow Degree and Mechanical Properties of PVA/Basalt Fiber Composite Gentil Material under Different Complex Ratios
Authors: Chen Jin , Liu Li Qun , Wang Jing Song , Zhao Gang , Jiang Ming , Guo Kui Xiang , Cui Yu
Published: December 2024

In the comparative study of single mixed PVA fiber (0,1%, 2%, 3%) and basalt fiber (0,0.1%, 0.2%, 0.3%) on the polymer mortar fluidity and mechanical properties, the results show that: PVA fiber and basalt fiber under the appropriate amount can improve mortar water retention, basically will not appear water phenomenon, which makes the construction more convenient. When the basalt and PVA fibers were 0.2%, the 28-d folding resistance was 5.60 MPa and 5.72 MPa, respectively. The results of the compressive strength test showed the same pattern as the folding strength. When the amount of PVA and basalt fiber was 0.2%, the 28-d folding strength was the greatest, which is 44.91 MPa and 41.92 MPa, respectively.
Recyclability and Carbonization Regeneration of Oil Adsorbing Materials Based on Commercial Expandable Graphite
Authors: Li Chun Man
Published: December 2024

This study focused on the oil absorption and carbonization regeneration properties of expanded graphite (EG) prepared from commercial expandable graphite as an oil absorbing material for different oils. The specific surface area of the prepared EG sample was 37.15 m2/g, and the oil absorption was as high as 76 g/g. More importantly, the prepared expanded graphite had excellent recyclability and good carbonization regeneration performance. Even after 5 cycles, the adsorption capacity remained above 80%. The regenerated EG sample regained a high oil absorption capacity of 44.64g/g. This article has important guiding significance for promoting the large-scale practical application of expanded graphite oil absorbing materials.
Performance of Using Geocell for Slope Erosion Control Compared in Different Geocell Installing Areas
Authors: Chuenjaidee Supphanut , Thanasisathit Nuttawut , Rochanavibhata Uthairith
Published: December 2024

The erosion problem is an issue environment, that decreases the fertility of soil surface, causing damage to farmers or on various slopes. Erosion leads to soil deposition and long-term changes in topography. This study investigates and compares the performance of geocell erosion control systems across different installation areas. The erosion experiment test under various conditions, the different geocell-installed areas, the three rainfall intensities, and the three slope gradients. The erosion characteristics were tested in a laboratory erosion flume model. The investigation shows the erosion control process of the geocell wall blocks the surface runoff flow and sediment. Geocell installation reduces runoff energy, distributes water mass, and helps retain soil particles. This study shows the performance of geocell-installed on erosion control, the cell wall of geocell reduces the flow energy and the water mass to smaller, which can decrease the erosion damage in the geocell-installed area or areas below slopes. The sediment reduction ratio of the fully geocell-installed flume test was 84% and decreased by approximately 10% with every 20% reduction in the geocell installation area.
The Influence of Service Live Factors on Concrete Mixed with Sea Sand and Seawater with the Addition of Zeolite on the Mechanical Properties of Concrete
Authors: Wahyuni Wahyuni , Abdullah Abdullah , Hayati Yulia , Mulyati Sri
Published: December 2024

The limitations of river water resources and river sand have driven the development of concrete that uses sea sand and seawater as alternative raw materials. The use of concrete with sea sand and seawater has been the focus of previous research to enhance the properties and strength of the concrete. In this study, natural zeolite powder, which is a natural material containing high silica (SiO2) and alumina (Al2O3), was utilized. The finely ground zeolite powder was added to the concrete mix with three variations: 5%, 7.5%, and 10% from weight of cement. The main objective of this research is to evaluate the mechanical properties of concrete using sea sand and seawater at the age of 14 and 56 days, comparing it with concrete using river sand and river water. Test results show a significant increase in compressive strength of concrete with the addition of zeolite powder, especially at the 7.5% concentration, compared to zeolite-free concrete. Although a decrease in compressive strength occurred at 56 days compared to 14 days, this decrease did not exceed the compressive strength value of zeolite-free concrete. Additionally, in the split tensile strength test of concrete, the results show positive development, with an increase in the split tensile strength value at 56 days, especially at the zeolite concentrations of 7.5% and 10%, compared to 14 days. This indicates that the addition of zeolite can enhance the concrete's ability to resist tensile forces, making it suitable for structures requiring high tensile strength.
Delayed Onset Malignant Hyperthermia in a Child with Previous Uneventful General Anesthesia: A Case Report
Authors: Abeysundara A. , Rathnayake A. , Wijekoon W. M. P. S. K. , Jayakody S. D. B.
Published: December 2024

Malignant hyperthermia (MH) is a genetic disorder of skeletal muscles which leads to a progressive life-threatening hyperthermic reaction due to the use of Suxamethonium or Inhalational agents in anaesthesia. It is not commonly reported in Sri Lanka. The condition usually manifests in the initial exposure to the causative agents. A 9-year-old male child, who had 2 previous uncomplicated anaesthetic exposure, was admitted for an alveolar bone graft surgery. In the latter part of the surgery, the child developed features of malignant hyperthermia, following exposure to a volatile inhalational agent, isoflurane. Early treatment with dantrolene arrested the disease process and reduced the complications, even though he was treated in intensive care for several days. This case demonstrates that malignant hyperthermia can develop gradually, contrary to the typical rapid onset, even in patients with prior uneventful exposure to triggering agents. Early diagnosis and timely administration of dantrolene are essential to prevent life-threatening complications.
Asplenia Syndrome Complicated with Acute Gastric Volvulus: A Case Report and Review of the Literature
Authors: Wettasinghe M. C. , Wickramasinghe N. D. , Fernando J.
Published: December 2024

Acute gastric volvulus in asplenia syndrome is a very rare presentation and only a few cases have been published in the literature. A 10-month-old baby girl with a history of complex congenital cyanotic heart disease presented with a history of repeated episodes of vomiting for 6 days duration. Her ultrasound scan showed a fluid-filled distended stomach, centrally placed liver and absent spleen. The upper gastrointestinal study showed right-sided stomach with mesentero axial volvulus. The gastric volvulus was complicated with a small perforation at the site of the obstruction that was identified during surgery. With the advancement of treatment for sepsis and surgical intervention for cardiac anomalies, the extra-cardiac complications related to other malformations in asplenia syndrome are becoming important issues. It is important to be vigilant about the common associations of asplenia syndrome and the possible rare complications related to visceral malposition.
Unusual manifestations of syphilis in HIV
Authors: Chenganasseri Sameeha Hamza , Mali Suraj , Bathula Amulya , Danturty Indira , Krishna A. Venkata , Singh T. Rajeev
Published: December 2024

Over the past decade, there has been a significant increase in cases with syphilis and HIV coinfection. Concordant infection with HIV can alter the clinical course and response to treatment in syphilis. Variable and unusual presentations of syphilis in HIV disease can make early diagnosis and treatment challenging. We, herein, report four cases of atypical manifestations of syphilis in patients with HIV coinfection.
Challenges in status disclosure and adherence to antiretroviral therapy in children living with HIV: An observational study
Authors: Aggarwal Shivali , Walia Rupinder , Chopra Dimple , Malhotra Vishal , Gupta Sharang , Malhan Shreya , Singh Harmeet
Published: December 2024

Background and Objectives:

The advent of highly active antiretroviral therapy has increased the longevity in children living with HIV (CLHIV), which has brought forth new concerns related to status disclosure and adherence to treatment. Information regarding this is limited in Punjab; hence, this study was done to find the relation of disclosure with sociodemographic factors and the problems faced in adhering to antiretroviral therapy (ART) in this region.

Materials and Methods:

An observational cross-sectional study was conducted on CLHIVs aged 18 months to 15 years visiting the ART center of a tertiary hospital from June to December 2021. Willing caregivers were approached with semistructured validated pretested questionnaire developed for the study.

Results:

Ninety-eight caregivers of CLHIV were interviewed and 25% were found to be aware of their serostatus. Children between 5 and 12 years comprised the largest group (57%) and this was also the statistically significant age group in whom the status was not disclosed. Disclosure was more in children having single parents. The low economic status, rural background, and low education status of the caregivers were inversely related to disclosure. Sixty-five percent of the caregivers believed that the appropriate age for status disclosure should be 14–18 years. Adherence was optimal in 85% CLHIVs and distance was the foremost challenge.

Conclusion:

The mean age for disclosure was found to be higher than the World Health Organization guidelines in this study; hence, there is a need to encourage caregivers for timely and systematic disclosure and motivate them for maintaining optimal adherence in CLHIV which is important for the success of ART program.
A unique case of humungous metastasis of follicular carcinoma in the gluteal region
Authors: Priyanka D. V. S. , Raju Kalyani , Suresh T. N. , Shilpa M. D.
Published: December 2024

Follicular thyroid carcinoma is a notable subtype of thyroid carcinoma, with metastasis accounting for 6%–20% of cases and typically characterised by haematogenous spread to the lung, liver and bone. We are reporting a rare case in which a 67-year-old male presented with swelling over his left gluteal region. On local examination, a hard mass on the left side of the gluteal region was discovered, which radiologically was determined to be chondrosarcoma/soft-tissue sarcoma. Cytology revealed metastatic deposits of adenocarcinoma. Histopathological examination revealed follicular carcinoma metastasis.
A Brief History of Traditional Indian Medicine: In Particular, Yoga and Siddha Systems of Medicine; Part 2 – Evidence-based Ancient History of India that is Bharat, Revisited
Authors: Seshadri Hiramalini , Seshadri Divya
Published: December 2024

A brief history of traditional Indian medicine, in particular, Yoga and Siddha systems of medicine, is presented as a four-part series including Part 1 – Why Indian medicos need to know of the rich medical heritage of Bharat, an eye-opener, Part 2 – Evidence-based ancient history of India that is Bharat, revisited, Part 3 – A brief on the knowledge level of ancient India and knowledge codified under Yoga, pertaining to optimum health and maximising human potential and Part 4 – A brief on the Siddha system of medicine, including their knowledge level and the Siddha contribution to medical education in the ancient world. India’s rich medical heritage has been kept away from India and the world in general by a distorted colonial narrative. In this second part of the series, why we need to revisit the history of ancient India is discussed; evidence that suggests that an advanced civilisation existed in peninsular India in pre-historic times, which went under ocean waters due to sea level rise, is presented; and emerging evidence available on the history of traditional Indian medicine, mainly Siddha medicine which belongs to those timelines, is presented.
Barcode entropy of geodesic flows
Authors: Ginzburg Viktor L. , Gürel Başak Z. , Mazzucchelli Marco
Published: December 2024

We introduce and study the barcode entropy for geodesic flows of closed Riemannian manifolds, which measures the exponential growth rate of the number of not-too-short bars in the Morse-theoretic barcode of the energy functional. We prove that the barcode entropy bounds from below the topological entropy of the geodesic flow and, conversely, bounds from above the topological entropy of any hyperbolic compact invariant set. As a consequence, for Riemannian metrics on surfaces, the barcode entropy is equal to the topological entropy. A key to the proofs and of independent interest is a crossing energy theorem for gradient flow lines of the energy functional.
Estimation of Air Travel–Related Greenhouse Gas Emissions for the In-Person Anesthesiology Oral Board Examination
Authors: Clegg Alan , Mastrantonio Sierra , Pearson John F.
Published: December 2024

Background With an increased focus on climate change in graduate medical education (GME), the environmental implications of travel for board certification examinations remain poorly described. The return to the mandatory in-person applied examination (AE) for board eligible anesthesiologists presents potentially sizeable greenhouse gas (GHG) emissions when compared to the virtual format administered during the COVID-19 pandemic.

Objective To estimate the GHG emissions from air travel to the in-person AE and discuss its implications for various specialties as they return to in-person examinations.

Methods An estimate of the GHG emissions was conducted using data from the 2023 NRMP Main Residency Match: Match Rates by Specialty and State report, utilizing residency training site as a proxy for anesthesiologists’ home. An alternative estimate was made using the anesthesiologists’ predicted state distribution postgraduation. We estimated annual GHG emissions, expressed as metric tons of carbon dioxide equivalent (MTCO2e), produced from graduating residents flying to The American Board of Anesthesiology testing center in Raleigh, North Carolina, USA. We collected emissions using the International Civil Aviation Organization emissions calculator.

Results Annual emissions of examinee travel from their respective residency training state was estimated to be 517.37 MTCO2e. The alternative estimate using anesthesiologists’ predicted postgraduation state was 568.05 MTCO2e. This estimate of CO2e roughly equates to the average annual emissions produced by 112 passenger vehicles.

Conclusions The AE in-person format results in an estimated 517 to 568 MTCO2e.
International Planetary Health Education in Undergraduate and Graduate Medical Curricula: A Scoping Review
Authors: Selvam Rajajee , Séguin Niève , Zhang Lisa , Lacaille-Ranger Ariane , Sikora Lindsey , Raiche Isabelle , McIsaac Daniel I. , Moloo Husein
Published: December 2024

Background Climate change is a public health emergency, yet planetary health education is absent for many medical and health professions trainees.

Objective To perform a scoping review exploring the inclusion of planetary health in undergraduate and graduate medical education.

Methods A search strategy was developed with a health sciences librarian and run on 6 databases from their inception to February 2022: MEDLINE, Embase, APA PsycInfo, CINAHL, Global Health, and Scopus. The Arksey and O’Malley framework was employed to broadly select publications that described the implementation of planetary health in undergraduate and postgraduate medical education. Commentaries were included if they outlined a potential curriculum. Extracted data was grouped thematically using an iterative approach based on competencies described, key considerations, and anticipated barriers.

Results After screening 2407 articles, 42 were included. Thirty articles involved medical education at undergraduate or postgraduate levels, while 10 discussed multidisciplinary education including veterinary medicine, public health, and nursing. Two articles discussed planetary heath education for staff physicians. Reported competencies included eco-medical literacy, environmental inequity, and planetary health advocacy. Key considerations for curricular development included longitudinal implementation, interprofessional collaboration, and experiential learning through quality improvement projects. Barriers to implementation included time constraints and the lack of knowledgeable educators and administrative support for curricular change.

Conclusions This scoping review outlines key recommendations and barriers to help facilitate the implementation of planetary health education in medical training.