Application Integration Research Articles

Analysis and Optimization of Fluid Flow on the Surface of the Prototype Body of Electrical Vehicle Ganesha Diffabilities Using Solidworks Software

Purpose: The aerodynamic aspect is an aspect that takes into account a force caused by the fluid flow shown by the Coefficient of Drag value. This will affect the optimization of performance and energy consumption used. This study aims to modify the standard design of Electrical Ganesha Diffabilities so that a design with a low Coefficient of Drag value considers ergonomic parameters and user comfort to follow the community of people with disabilities. Theoretical Framework: The main theoretical foundation is based on the laws of aerodynamics, which analyze the movement of air around solid objects and its effect on vehicle performance, with a specific emphasis on minimizing drag. The research employs computational fluid dynamics (CFD), a branch of fluid flows. Models and simulations in Solidworks offer a digital environment for improving design aspects to increase aerodynamic efficiency. This theoretical approach focuses on two main objectives: reducing the drag coefficient (CD), which measures resistance caused by shape and surface characteristics, and applying these findings to achieve practical energy savings and enhance vehicle operation specifically designed for individuals with disabilities. The integration of aerodynamic theory and practical application is essential for solving the specific transportation requirements emphasized in the introduction. This alignment with legislation and social objectives aims to provide improved support for the impaired community. Design/Methodology/Approach: This is a numerical method with an R2D2 research model (Reflective, Recursive, Design, and Development) using the 2020 version of Solidworks Software. Solidworks software is known for software that has speed and accuracy in analyzing. Findings: The results of the fluid flow analysis simulation showed that the design of the modified Electrical Ganesha diffabilities vehicle had a Coefficient of Drag value of 0.353 or 35% lower than the standard vehicle value of 0.547. Through expert assessment, the modified design of Electrical Ganesha Diffabilities has received an assessment of 98% with excellent qualifications. Research, Practical & Social implications: The research contributes to the topic of aerodynamic for disability-friendly vehicles, providing a basis for future academic investigations into accessible transportation options. Essentially, the results can immediately impact the development of electric cars that are both more energy-efficient and performance-optimized for those with impairments. This would lead to lower running expenses and improved user-friendliness. From a social perspective, this research emphasizes a dedication to inclusiveness and accessibility, which has the potential to enhance the ability of impaired persons to move around and ultimately enhance their overall well-being. Additionally, it increases awareness among policymakers and manufactures of the significance of incorporating aerodynamic efficiency into the design of assistive devices, hence fostering wider social acceptance and support for this advancement. Originality/Value: The uniqueness and significance of this work stem from its innovative strategy of combining aerodynamic principles with the development of electric cars particularly tailored for those with disabilities-a relatively unexplored field in transportation research. This research examines the E-GADIS vehicle and fills the gap in the current literature on accessible transportation options.

Yapı Üretim Süreçlerinde BIM ve VR Uygulamalarının Entegrasyonunun Değerlendirilmesi

İnşaat sektörü yeniliğe ve değişikliklere açık bir sektördür. Yapı üretim süreçlerine entegre olabilecek birçok enformasyon teknolojisi geliştirilmiş, yapı üretim süreçlerinin daha hızlı, sistematik ve kontrollü olarak yürütülmesi amaçlanmıştır. Bu bağlamda yapı üretim süreçlerinde kullanılan enformasyon teknolojilerinden Yapı Bilgi Modelleme (BIM) ve Sanal Gerçeklik (VR) teknolojileri yaygın olarak karşımıza çıkmaktadır. BIM süreçleriyle ve VR araçlarıyla yürütülen entegre projelerde yapı üretim süreçlerinde pek çok kolaylık sağlanmaktadır. Çalışmada yapı üretim süreçlerinde BIM ve VR entegrasyonunun kullanımının amaçlarını, güçlü ve zayıf yanlarını tespit etmek ve potansiyel tehdit ve fırsatlar bağlamında bir değerlendirme yapmak amaçlanmıştır. Bu bağlamda literatür taraması ve kullanıcı deneyimlerinin baz alındığı firma araştırması yapılmıştır.

Integration of Smart Grid and Application of Microgrid Technologies in Western Pipeline Company

Integration of Smart Grid and Application of Microgrid Technologies in Western Pipeline Company

Exploring Key Factors Influencing the Adoption of Mobile Cloud Computing in Higher Education: Case study at An-Najah University

The integration of mobile learning applications has emerged as indispensable in higher education, yet the widespread adoption of mobile cloud computing technology within university settings remains limited in developing countries. This research seeks to bridge this gap by elucidating the primary factors influencing the decision to adopt mobile cloud computing in universities. To attain this objective, a comprehensive model is proposed, encompassing seven established technological factors along with novel considerations such as quality of service and social influence. The study involves data collection from 210 students and academic staff An-Najah National University in Palestine. The investigation underscores the paramount influence of quality of service, perceived usefulness, perceived ease of use, facilitating conditions, social influence, management support, and privacy on mobile cloud adoption. Furthermore, the research brings to light the persistent concerns surrounding security and privacy, serving as significant impediments to mobile cloud adoption in Palestinian Universities. The implications of these findings extend to higher educational institutions, mobile cloud service providers, and decision-makers. The identified factors serve as critical considerations for successful implementation of mobile cloud computing technology. Moreover, the research sheds light on the societal and scientific significance by addressing the motivation behind the title—exploring the utility of Mobile Computing Technology in enhancing educational processes.

Analysis of the Ability of the OSLC Standard to Improve Data Traceability in System Development

AbstractThe development of systems offers a particular challenge for the interoperability of different tools used by collaborating developers like requirements management, design, or simulation tools. The difficult and time‐consuming process to integrate and exchange data between different systems can lead to data inconsistencies and reduced efficiency in the development process. The integration standard Open Services for Lifecycle Collaboration (OSLC) targets the integration of engineering software applications. Its approach supports loose tool coupling, in which each application autonomously manages its own product data, while providing RESTful web services through which other applications can interact. This paper aims to analyze the suitability of OSLC as an overarching integration mechanism for the complete set of engineering artifacts created during system development. This paper presents use cases for the application of OSLC at the company MAHLE. For these use cases, the employed OSLC based toolchain is assessed. The analysis in this paper confirms that OSLC's capabilities allow users to support traceability and can support the exchange and integrate data according to the defined requirements, but it is not sufficient for sophisticated data processing functionalities, such as safety analysis or simulation. The OSLC integration does correspondingly compare favorably to integration technologies already in use regarding traceability, while transformation of data in domain specific tools is needed to achieve deeper levels of integration.

Impact of telerehabilitation on the physical, physiological, and psychological parameters in individuals with diabetes

Abstract The primary objective of this critical review is to evaluate the effectiveness of telerehabilitation (TR) in managing physical, physiological, and psychological parameters in patients with type 2 diabetes mellitus (T2DM). T2DM has become a major global health concern, with complications that significantly impact the well-being and quality of life of affected individuals. The introduction of this review aims to elucidate the complexities of T2DM by discussing its prevalence, cardiovascular implications, and the crucial role of physical activity in its management. The study’s goal is clearly stated, focusing on a comprehensive assessment of electronically provided rehabilitation models to address the multifaceted aspects of T2DM. The methodology section details a systematic review covering reputable databases such as PubMed, Medline, and EMBASE, establishing a solid foundation for this review. Furthermore, recent empirical findings from a specific study provide valuable insights by demonstrating the positive effects of a 6-week TR program on individuals with T2DM. Including various modes of exercise supervision and their noticeable impact on HbA1c levels enhances the analytical depth of this review. In conclusion, this scholarly review acknowledges the evolving role of technology-based rehabilitation in healthcare and recognizes the promising findings from current studies. However, it emphasizes the need for further research, particularly larger, multi-centered randomized controlled trials, to refine the effectiveness, cost-effectiveness, and long-term interpretability of TR in the complex landscape of T2DM management. The primary aim of this review is to contribute to the academic discussion surrounding the integration of telehealth applications, particularly TR, as an essential component in the holistic care of individuals with T2DM.

Research on Learning Motivation for Project-Based Learning in Online Art Education: A Qualitative Study in A Higher Vocational College

With the extensive integration of Internet technology and intelligent applications, online education has become the new normal of modern education. As a teaching strategy that emphasises student initiative and deep participation, project-based learning (PBL) has also been increasingly valued and widely used. Based on self-efficacy theory, this study adopts a qualitative research method to explore the motivation of art and design students in higher vocational colleges under the online PBL mode, to examine students' understanding and adaptation to the online PBL mode, and to analyse the advantages, difficulties and challenges of students in the PBL learning process. In addition, how PBL shapes students' perceptions of learning and career aspirations is also the focus of this study. Teachers' supportive role is crucial for optimising teaching strategies and improving the quality of education. This study provides suggestions for strategies to improve students' motivation and future career development in higher vocational art education, as well as a theoretical basis for pedagogical reform and student support services in art programmes.

Journalist Perceptions and Views towards the Integration of AI-based Applications in the Journalism Industry in Pakistan: Expansion of the UTAUT Model

Journalist Perceptions and Views towards the Integration of AI-based Applications in the Journalism Industry in Pakistan: Expansion of the UTAUT Model

Integration of Digital Public Services Mall Application with a Citizen Centric Government Services Approach

The integration of government services represents a practical solution in the context of the numerous applications developed by both Central and Regional Governments, particularly those used to access public service applications. The Digital Public Service Mall application can be leveraged by Regional Governments through data integration, enhanced with Single Sign-On (SSO) capabilities. This will facilitate collaboration between Regional Apparatus Organizations (OPD), enabling them to work together as technical managers of public services. Consequently, this will simplify public access to these services, eliminating the need for repeated data entry processes. Additionally, this system can be developed using facial recognition (FR) technology, which can be integrated with the Digital Population Identity (IKD). The concept of Citizen-Centric Government Services has been widely adopted by governments in various countries to bring government services closer to their citizens. This research focuses on analyzing the integration of data and public service applications, specifically the Digital Public Service Mall (MPP) application in West Java Province. The data analysis technique employed is descriptive-analytical with a qualitative approach. The Citizen-Centric Government Services framework assists in analyzing the extent of data and application integration implementation in a government service. This framework outlines the dimensions within it based on achievement indicators aligned with expectations. Data collection includes semi-structured interviews, participatory observations, and documentation. Based on the analysis results using the dimensional approach within the Citizen-Centric Government Services Framework, it is evident that the Digital MPP application of West Java Province is optimally utilized by the Regency/City Governments and the people of West Java Province. The analysis using the Citizen-Centric Government Services Framework approach reveals that several achievement indicators within each dimension can be met through effective collaboration between the government and the community.

Metallic biomaterials in biopharmaceuticals and biomedical applications

Metallic biomaterials have captured a lot of interest because of their distinct mechanical characteristics, biocompatibility, and usefulness in biopharmaceutical and biomedical applications. These materials are essential for the creation of several medical equipment and treatment strategies. They include titanium, cobalt-chromium alloys, stainless steel, and biodegradable metals. Metallic implants in orthopaedics offer strong support for bone mending and joint replacement; they have outstanding load-bearing capacity and are resistant to corrosion and wear. Metallic heart valves and stents provide structural integrity and functionality in cardiovascular applications, enhancing patient outcomes in heart valve and coronary artery illness. Metallic biomaterials are manufactured systems created to give biological tissues intrinsic support, and they are commonly employed in stents, dental implants, orthopaedic fixations, and joint replacements. Increased implant-related issues are linked to higher biomaterial utilization because of weak implant integration, infections, mechanical instability, necrosis, and inflammation, as well as ensuring extended patient care, discomfort, and functional loss. The performance and integration of metallic biomaterials inside biological systems have been improved by developments in surface modification techniques, such as coating with biocompatible polymers and drug-eluting technology. Researchers are exploring the possibility of using biodegradable metals that eventually dissolve within the body reducing the risk of long-term issues and repeat procedures. Metallic nanoparticles have also demonstrated potential in increasing therapeutic efficacy, minimizing systemic adverse effects, and selectively targeting disease locations when included in drug delivery systems. The main metallic biomaterials will be briefly discussed in this review, along with the most important established and new methods for modification, which are used to enhance the durability, flexibility, biointegration, and of the biometals, and boost their suitability for 3D printing.

Exploring Engineering Philosophy from an Epistemological Perspective

This study explores engineering philosophy from an epistemological perspective, aiming to improve students' critical thinking skills, foster interdisciplinary understanding, promote ethical reflection, and deepen engagement with the philosophical foundations of technology. The study uses a comparative analysis and critical review of the literature on the philosophy of engineering. The results are as follows: First, the essence of engineering knowledge lies in practical application, problem-solving orientation, and interdisciplinary integration. Second, epistemological methods in engineering emphasize the importance of balancing intuition and analysis, critical thinking, rigorous experimental design, and verification and validation processes. Third, while experience and expertise are certainly crucial in shaping engineering knowledge, it is necessary to critically examine the potential biases and limitations inherent in this process. Fourth, the epistemological challenges of interdisciplinary engineering necessitate humility, open-mindedness, and interdisciplinary integration. Finally, the ethical and social dimensions of engineering knowledge are essential considerations for responsible and sustainable engineering practices. Integrating ethical reflection into decision-making and embracing social responsibility and community involvement can enable engineers to contribute to social advancement while upholding professional integrity and ethical standards. Future research suggestions include conducting a meta-epistemological analysis to study the fundamental assumptions, methodologies, and conceptual frameworks employed in engineering philosophy research from an epistemological perspective. It can explore the intersection of epistemology, ethics, and social theory in engineering practice and education. Finally, conducting historical and comparative studies of engineering epistemology in diverse cultural, historical, and technological contexts can offer meaningful insights.

Aromatic phase change microspheres constructed nanocomposite films for fluorine-free self-cleaning, absorption-dominated EMI shielding, and high-temperature thermal camouflage

The combination of high shielding effectiveness and excellent thermal insulation is highly attractive for electromagnetic interference (EMI) shielding materials, yet remains challenging in the absence of thermal stability and self-cleaning effect. Here, poly(arylene ether nitrile) (PEN), an aromatic super engineering polymer, is synthesized and one-step self-assembled into phase-changeable microspheres in an oil-in-water microemulsion system, synchronously settling thermal lability and leakproof of conventional phase change materials. Pre-functionalized multi-wall carbon nanotubes are subsequently immobilized on PEN-based phase change microspheres for EMI shielding and thermal camouflage compartments. The resultant compartments are integrated into macroscopical nanocomposite films with segregated structures via hot-compressing densification. Due to the 3D interconnected cavities, the shielding effectiveness of the PEN-based nanocomposite film is strikingly up to 43 dB with an excellent absorption coefficient of 0.99. Meanwhile, the nanocomposite film exhibits outstanding thermal camouflage throughout a wide temperature range of 80–200 °C at a low thickness of ∼1.5 mm. Interestingly, superb fluorine-free self-cleaning is endowed with its inherent hydrophobic surface (contact angle up to 148.6°) overlaid with micropapillaes. Our work sheds light on such application integration of fluorine-free self-cleaning, absorption-dominated EMI shielding, and high-temperature thermal camouflage.

Hotspots and Global Trends of Nursing Research on Mobile Applications in Nursing From 2012 to 2023: A Bibliometric Analysis.

The rapid integration of mobile applications in healthcare has prompted an evolutionary change in nursing domain. This study aimed to systematically analyze the basic publication characteristics, research priorities, emerging trends, and thematic evolutions concerning mobile applications in nursing, providing an overview of the field's developmental trajectory and future directions. This was a descriptive bibliometric study. Data were collected on July 5, 2023, from the Web of Science database and analyzed by using the Bibliometrix package in R software. The search strategy yielded 417 documents authored by 1969 researchers, cited 12 595 references, and featured 1213 author keywords, spanning from 2012 to 2023. Research on mobile applications in nursing exhibited several key trends: (1) substantial collaboration among authors; (2) significant growth in the number of publications; (3) self-management was the most prominent hot topic; and (4) an evolution of research themes from general topics to a more specific focus on people-centered and problem-centered research. The corpus of literature pertaining to research on mobile applications within the nursing domain is anticipated to expand continually. Future research and practice in the nursing field are expected to benefit significantly from multidisciplinary collaboration and advancements in emerging technologies, including artificial intelligence.

Digitalization of hypertension management: a paradigm shift.

Hypertension, which stands as a leading global health challenge, demands a dynamic approach for its effective management. The traditional methods of managing hypertension, centered on periodic clinic visits for blood pressure measurement and pharmacological interventions, are increasingly being complemented and enhanced by digital technologies. The integration of wearable devices, mobile applications, personalized treatments, and telehealth solutions into healthcare system is reshaping traditional hypertension care. Digitalization of hypertension management extends to population health, in addition to individual patient benefits, aimed at preventing and controlling hypertension on a broader scale. However, this digital revolution in hypertension management brings forth challenges related to data security, data accuracy, equitable access, and standardization of devices by international regulatory agencies. Addressing these issues is equally important to ensure that the benefits of digital technologies are accessible to everyone, irrespective of socio-economic factors. This paper concludes with a forward-looking perspectives, emphasizing the potential of digitalization to modify the landscape of hypertension management.

Integration of Smart City Technology and Business Model Innovation

At present, the progress of business model stages supported by a variety of technology categories may unclear, and the integration of technology application and business model innovation (BMI) is hard due to operational practices in various industries and research areas, which block the view of the integration of smart city technology (SCT) and BMI for further development. Thus, this paper aims to explore the current research on the integration of SCT and BMI and identify the current research status and hotspots, assisting in indicating the status of these technologies in the business model stages in order to determine future trends, and adopts a mixed research methodology including a macro-quantitative method based on bibliometrics and a micro-qualitative method using content analysis. The results reveal a 17-year (2007 to 2023) integration of SCT and BMI enhanced by cloud computing, big data, Internet of Things, and artificial intelligence in recent years, with the most current studies focusing on the ideation and design stages of the business model stages with an emphasis on using digital capabilities to refine, formulate, and design the corresponding business model while defining the strategy through internal and external factors. Interestingly, Industry 4.0 and digital servitization are currently the key trends.

Formative Assessment of Student’s Academic Achievements in Mobile Learning Environments

This study investigates the formative assessment of student academic achievements within the context of mobile learning (m-learning) environments. As mobile technologies continue to reshape educational practices, understanding how to effectively implement formative assessment strategies in these dynamic digital spaces is essential. The study explores various approaches and methodologies for conducting formative assessments tailored specifically for m-learning environments. These include the integration of mobile applications to deliver interactive quizzes, exercises, and simulations that engage learners actively and provide immediate feedback. Additionally, the research examines the use of adaptive formative assessments, which utilize mobile technology to personalize assessment content and pacing according to individual learner needs and progress. The study also examines the role of m-learning analytics in formative assessment, allowing educators to gather real-time data on student interactions and performance to guide instructional decisions. Furthermore, the study explores innovative practices such as gamified formative assessments, which incorporate elements like badges or leaderboards to enhance motivation and engagement among learners. By synthesizing existing literature and empirical studies, this study contributes to advancing the understanding of effective formative assessment practices in m-learning environments. It offers valuable insights for educators, curriculum designers, and policymakers who aim to enhance student learning and achievement in digital-age education.

Surface characteristics and adsorption properties of polypropylene microplastics by ultraviolet irradiation and natural aging

The vast application and deep integration of plastic commodity with our human lives raise a great concern about the ubiquitous microplastics (MPs) in nature, yet the environmental behavior of MPs remain unclear. As a main type and candidate of MPs, pristine polypropylene MPs (PP-MP-Pris), as well as the influence of ultraviolet (UV) irradiation on the degree of aging and surface characteristics, were characterized quantitatively by Fourier infrared spectroscopy, scanning electron microscopy, contact angle meter, automatic specific surface area and pore analyzer and laser particle analyzer, with natural aged PP-MPs (PP-MP-Age) as comparison. The carbonyl index (CI) of UV aged PP-MPs (PP-MP-U) was increased with extension of exposure time, while biofilm with abundant functional groups and the maximum CI value were the characteristics of PP-MP-Age. Moreover, the adsorption capacity of PP-MP-U for crystal violet (CV) was increased and reached the maximum after 30 days, while that of PP-MP-Age was weakened, probably due to the enhanced hydrophilicity and the shedding of calcium carbonate (CaCO3) during the natural aging process, which was demonstrated by hydrochloric acid treatment, indicating the vital involvement of CaCO3. Moreover, the better fitting to PSO kinetics and Freundlich isotherm models indicated that the multilayered and non-homogeneous surface adsorption was acted as the rate-controlling step. Furthermore, the positive values of ΔGθ, ΔHθ and ΔSθ indicated that the adsorption was a non-spontaneous, endothermic process with increased degree of the freedom on the interface of PP-MPs and CV solution. The presence of divalent salts inhibited CV adsorption, demonstrating that electrostatic attraction played a major role in CV capture. The hydrophobic interaction, micropore filling, hydrogen bonding, and π - π conjugation were possible involved. This study is of great significance for better understanding the complex pollution of MPs and its potential environmental risks in the future.

Multiscale Investigation of Switchable Metallicity in Tunable Conductance Devices

The project “Multiscale Investigation Of Switchable Metallicity In Tunable Conductance Devices” en- compasses a comprehensive web application designed to revolutionize the way businesses handle MnS2 components, such as pressure switches, variable resistors, memory devices, batteries, and supercapacitors, through a series of interconnected modules. At its core, this application streamlines client interactions, optimizes MnS2 material processing, and ensures seamless application integration, all while leveraging advanced porosity analysis techniques. A significant enhancement in the Porosity Analysis module is the incorporation of the Decision Tree Regressor, a machine learning algorithm, to accurately evaluate the conductivity of materials. This addition not only boosts the precision of porosity and conductivity assessments but also empowers the system to predict material performance with higher accuracy, thereby enabling more tailored solutions for client requirements.

QSPR/QSAR study of antiviral drugs modeled as multigraphs by using TI’s and MLR method to treat COVID-19 disease

The ongoing COVID-19 pandemic continues to pose significant challenges worldwide, despite widespread vaccination. Researchers are actively exploring antiviral treatments to assess their efficacy against emerging virus variants. The aim of the study is to employ M-polynomial, neighborhood M-polynomial approach and QSPR/QSAR analysis to evaluate specific antiviral drugs including Lopinavir, Ritonavir, Arbidol, Thalidomide, Chloroquine, Hydroxychloroquine, Theaflavin and Remdesivir. Utilizing degree-based and neighborhood degree sum-based topological indices on molecular multigraphs reveals insights into the physicochemical properties of these drugs, such as polar surface area, polarizability, surface tension, boiling point, enthalpy of vaporization, flash point, molar refraction and molar volume are crucial in predicting their efficacy against viruses. These properties influence the solubility, permeability, and bio availability of the drugs, which in turn affect their ability to interact with viral targets and inhibit viral replication. In QSPR analysis, molecular multigraphs yield notable correlation coefficients exceeding those from simple graphs: molar refraction (MR) (0.9860), polarizability (P) (0.9861), surface tension (ST) (0.6086), molar volume (MV) (0.9353) using degree-based indices, and flash point (FP) (0.9781), surface tension (ST) (0.7841) using neighborhood degree sum-based indices. QSAR models, constructed through multiple linear regressions (MLR) with a backward elimination approach at a significance level of 0.05, exhibit promising predictive capabilities highlighting the significance of the biological activity IC50\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$IC_{50}$$\\end{document} (Half maximal inhibitory concentration). Notably, the alignment of predicted and observed values for Remdesivir’s with obs pIC50=6.01\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${pIC_{50} = 6.01}$$\\end{document},pred pIC50=6.01\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${pIC_{50} = 6.01}$$\\end{document} (pIC50\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$pIC_{50}$$\\end{document} represents the negative logarithm of IC50\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$IC_{50}$$\\end{document}) underscores the accuracy of multigraph-based QSAR analysis. The primary objective is to showcase the valuable contribution of multigraphs to QSPR and QSAR analyses, offering crucial insights into molecular structures and antiviral properties. The integration of physicochemical applications enhances our understanding of factors influencing antiviral drug efficacy, essential for combating emerging viral strains effectively.

Towards the automatic network resource management of OPC UA in 5G private networks

In the realm of Network Function Virtualization (NFV) and Software Defined Networking (SDN), the shift of network functions to the edge presents both challenges and opportunities across various industries. This paper investigates the utilization of Network Resource Management (NRM) within the Third Generation Partnership Project (3GPP) Service Enabler Architecture Layer (SEAL) framework for network operations in different sectors. Leveraging the Open Platform Communications (OPC) Unified Architecture (UA) Publish Subscribe (PubSub) pattern, we enhance edge networking by automating NRM within SEAL, introducing custom Message Queuing Telemetry Transport (MQTT) brokers and a mapping node. To validate our approach, we establish a SEAL NRM test server and implement a translator mechanism for interoperability. We address the integration of non-adaptive applications into the NRM domain and demonstrate our proposal with a practical Robot Operating System (ROS) Digital Twin (DT) application, showcasing dynamic NRM’s potential for optimizing network resources in scenarios like 3D printing.