bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Investigation of Polymer-based Biomaterials for Artificial Hip Joint with Diverse Boundary Conditions
Authors: Sathishkumar S. , P. Jawahar , Chakraborti Prasun
Published: October 2024

Background:

Hip suffering is a serious concern for human health, which may be caused
by arthritis, accidents, and childhood disorders; hence, man-made joints are the only option for restoring
the function of natural hips and ensuring a comfortable life. To design an effective hip joint is
a challenging task; there are myriads of novel designs continuously patented over the last two decades.

Methods:

The finite element approach was utilized in this extensive investigation to assess selfmated
polymer-based biomaterials (PTFE, UHMWPE, and PEEK) with different boundary conditions.
The numerical analysis was performed to find the stress intensity and deflection of the femoral
head and the acetabular components; the evaluation was done critically with a 10-node quadratic
tetrahedron element and different mesh intensities.

Results:

The detailed outcome showcases that the bare PEEK mated GO-PEEK has good load resistance
and is affected by minimum stress and deflection, which is quantified at 20.89% less than
the PTFE with GO-PEEK (M3) combination. This stress and deflection are quite higher than those of
metal implants (Ti6Al4V) but comparatively more prominent materials for human cortical bone.

Conclusion:

This investigation proved the polymer-on-polymer combination effectively eliminates
stress shielding and metal ion emission, reducing revision surgery and elevating implant longevity.
Therefore, it was identified that PEEK-based polymer composites are the best-suited alternative substance
for hip repair applications.
Shorter Telomere Length is Associated with Food Insecurity in Older People: A Cross-Sectional Study
Authors: Polo Celi Macedo , Pereira de Brito Tábatta Renata , Roberto Silva Wanderson , Lima Daniela Braga , Nunes Daniella Pires , Colombo Fábio Antonio , Orlandi Ariene Angelini dos Santos , Corona Ligiana Pires
Published: October 2024

Background:

Telomere length has been investigated as a biomarker of biological aging
and is associated with several diseases, lifestyle, and socioeconomic factors.

Objective:

This study aimed to verify whether food insecurity is associated with shorter telomere
length in older people.

Methods:

This is a cross-sectional study carried out in a municipality in the interior of Brazil,
with a sample of 440 older people from the community. For telomere length analysis, a blood
sample was obtained from each participant, followed by real-time qPCR, and sociodemographic
and health information was collected through interviews. Food security/insecurity was measured
using the reduced version of the Brazilian Food Insecurity Scale. Descriptive analysis and multiple
logistic regression were performed to analyze the factors associated with shorter telomere
length, adopting a significance level of 5%.

Results:

We found that food insecurity was significantly associated with shorter telomere length,
regardless of age group, skin color, tabagism, physical activity, milk and dairy consumption, living
arrangement, and basic activities of daily life.

Conclusion:

The findings show the importance of ensuring full access to adequate nutrition for
the older population, who are physiologically and socially vulnerable.
Evaluation of the Critical Success Factors for Household Product Sustainability
Authors: alegöz Mehmet
Published: October 2024

Introduction:

Sustainability and sustainable development have received growing at-tention in both industry and academia due to concerns regarding the rapid decrease in natural resources and increase in carbon emissions.

Methods:

In this study, we focus on the determination, evaluation, and analysis of the critical success factors in product sustainability by specifically focusing on the household goods indus-try. In the first phase of the study, we determine the critical success factors by referring to the existing literature and opinions of the experts who have experience in the household goods in-dustry. Next, we use a trapezoidal type-2 fuzzy AHP algorithm to rank the determined criteria and discuss the main findings from a practical point of view.

Results:

Computational results bring several important managerial insights. First, we observe that all three aspects of sustainability (economic, environmental, and social) should be consid-ered to ensure product sustainability. Second, the analysis reveals that cost (economic), quality (economic), generated waste and emission during the life cycle (environmental), energy and water consumption during the life cycle (environmental), and occupational health and safety (social) are among the highly ranked criteria.

Conclusion:

In this regard, in order to increase product sustainability, the companies should de-termine ways to decrease water usage, energy usage, carbon emission, and waste without ne-glecting the cost and quality of the product and without ignoring occupational health and safety.
Formulation, Optimization, and Evaluation of Solid-lipid Formulation for Bioavailability Enhancement Utilizing Diltiazem Hydrochloride
Authors: Jaiswal Sandhya , Yadav Kiran , Shukla Shalu , Mitra Reema
Published: October 2024

Background:

Cardiac arrhythmia is a health concern, requiring effective medication for
proper treatment. Diltiazem hydrochloride (DTZ.HCL), a class IV anti-arrhythmic calcium channel
blocker, was used as a model drug due to its ability to block Ca++ channels in the SA and AV nodes,
reducing calcium entry into cardiac cells and subsequently decreasing the force of contraction and
oxygen consumption by the heart. Despite its good oral absorption, DTZ.HCL bioavailability is reduced
to approximately 40% due to extensive first-pass metabolism. A nano-enabled drug delivery
system has the advantage of incorporating both lipophilic and hydrophilic drugs with improved physical
stability and enhanced bioavailability.

Objective:

The objective of this study was to develop a solid-lipid formulation utilizing diltiazem
hydrochloride and evaluate it for its bioavailability enhancement.

Method:

In the experimental study, SLNs were prepared using the microemulsion technique. A
blend ratio (1:1) of lipid (stearic acid: compritol 888 ATO), span 80, PEG 200, and water was selected
based on the microemulsion region obtained from the Triplot (4.1) ternary phase diagram. The
hydrophilic drug diltiazem hydrochloride was incorporated into the lipid blend, and a preheated Smix
was maintained at 80°C to obtain a transparent microemulsion, which then crystallized to form SLNs
upon subsequent dispersion in cold water (1:25). Critical process parameters, including magnetic
stirring speed, homogenizer speed, and probe sonication cycle, were optimized using Design Expert
10 software to achieve the desired particle size diameter, PDI, and entrapment efficiency.

Results:

The results revealed that the particle size and PDI were significantly influenced by the span
80 and PEG 200. An increase in the concentration of the lipid blend resulted in large particle sizes.
The optimized formulation showed a particle size of 415.4±0.2 nm, PDI of 0.184±0.01, and zeta
potential of -24.19±0.12 mV. These results were corroborated by DSC thermograms, which indicated
reduced enthalpy associated with the reduced particle size of SLNs. Given that diltiazem hydrochloride
is a hydrophilic drug with high water solubility, the entrapment efficiency was relatively 30.6%
±0.45. In vitro release studies demonstrated an initial burst release, followed by a sustained release of
85% over 24 hours. The optimized SLNs followed the Higuchi matrix model, with a coefficient of
correlation (R²) value of 0.9369.

Conclusion:

Results concluded successful development of SLNs with improved bioavailability when
compared by way of in-vitro method with marketed preparations.
Assessment of the vessel position dead reckoning method error
Authors: Deryabin V. V.
Published: October 2024

A method of the calculation of vessel dead reckoning coordinates with the accuracy assessment is proposed. It is based on previously derived formulas for the assessment of the uncertainty boundaries for vessel geodetic latitude and longitude during its motion along the ellipsoid surface. The above formulas are used as follows. At first, the latitude and its precision index are calculated. After, they are used for the calculation of the longitude and its precision index. As the result, it is possible to determine uncertainty intervals for vessel coordinates derived with dead reckoning. The implementation of this method for testing an electronic chart display and information system Navi-Sailor 4000 as to the calculation of vessel dead reckoning coordinates with it is shown. The provision of the information about vessel heading and speed through water is carried out to the system in real-time mode by means of a signal simulator. The speed and heading are remaining unchanged during one-hour time interval. During the above time interval, the data about dead reckoning coordinates are recording into a log-file, then the data are converted in a text format and used for the test. The dead reckoning coordinates, calculated by the system, are in the limits of uncertainty assessed with the proposed method. A limitation of the method is that it does not take into account the influence of errors due to rounding because of the finiteness of the computer bit grid. After the elimination of the above limitation, it seems to be possible to use a modernized version of the method as a part of a procedure for testing the navigational systems which give the information about vessel dead reckoning coordinates.
Investigation of some issues of automation of elements of terminal complexes for transshipment of large-capacity containers
Authors: Zub I. V. , Ezhov Yu. E. , Shchemelev V. L.
Published: October 2024

The topic of the work is the study of the reasons for increasing the efficiency of the use of marine container transportation in the entire supply chain. It is noted that the increase in their efficiency is explained by the possibility of transporting various types of cargo, the speed of handling vehicles, as well as the compactness of storage and safety of cargo. The problem of increasing ship capacity on the terms of shipping companies, which currently exists and is being solved by container terminal operators, has been formulated, which allows minimizing the time of ships parking in the port for processing, which in turn can be achieved by increasing the capacity of ships. Attention is drawn to the fact that reducing costs by increasing the efficiency of lifting and transport equipment stimulates investments in automation systems for almost all terminal operations, and in particular in lifting and transport equipment systems. It is emphasized that the automation process of container terminals differs depending on the task at hand (a new project is being considered or work is being carried out to automate an existing terminal). The implementation of automation at existing terminals is a more difficult task due to the problems of compatibility with the types of activities performed and resistance to ongoing changes, which primarily involve systematic and repetitive technological processes that can be programmed. Attention is drawn to the fact that container terminals use the latest operating systems to control and optimize the movement of containers inside the warehouse area (in particular, they are used at terminals where gantry cranes on a pneumatic (RTG) and on a rail (RMG) are used), and it is also emphasized that when working with RTG technology gantry cranes on a pneumatic vehicle are equipped with sensors connected to satellite positioning systems, which are located on the terminal area and on wheeled carts and are brought to the place of cargo operation by signals from the control room, at the same time, the dock operator controls only when lowering or lifting the container. Such information systems are also used on terminals operating using RMG technology. It is noted that automation of berthing container cranes is currently under development, since the complexity of its implementation lies in the fact that during pitching the vessel has a roll and a deflector, therefore, when moving it, it is difficult to determine the exact location of the container and the alignment of the spreader horizon with the container horizon, as a result, the guidance process? It requires additional time, which leads to a decrease in work productivity.
Development of a calculation power model of a vacuum automounting device
Authors: Butsanets А. A. , Volkova T. A.
Published: October 2024

One of the ways to improve navigation safety during water transport operation is to develop automated devices and systems that reduce the number of tasks for workers. For example, the introduction of vessels with different levels of autonomy into production activities, capable of automatically monitoring the environment or delivering cargo, helps to reduce the size of the vessel due to the absence of a residential superstructure. On inland waterways, one of the limitations of the introduction of autonomous navigation is their safe passage through shipping passages — shipping locks. Mooring a vessel in a lock chamber is very labor-intensive and is usually performed by crew members of the vessel being locked for movable (floating hoops) or fixed (berthing bollards, bollards, hoops) mooring devices, the permissible loads of which are established in regulatory documents. Over the past 10 years, the authors have not found studies describing the results of measuring the loads on mooring devices and ropes arising from the movement of the vessel in the lock chamber. Another constraint to the implementation of autonomous shipping is the lack of requirements for auto-mooring devices that ensure the retention of vessels in the lock chamber. In this regard, the purpose of this study is to compare the standard and actual values of the load on mooring eyes and ropes for the theoretical calculation of the holding forces of the vacuum automooring device model, taking into account the operating conditions in the shipping lock chamber. The measurement results presented in the article were obtained in the course of the research work “Development of scientifically based recommendations for establishing hydraulic modes for filling and emptying the chambers of locks No. 1–8 of the Federal State Budgetary Institution “Volga-Balt Administration” based on in-kind studies of the conditions of ship mooring in lock chambers” commissioned by the Federal Agency for Maritime and River Transport using a strain gauge installed in the mooring rope cut. As a result of the theoretical calculation of the holding force of the vacuum auto-mooring device, the holding forces of the vacuum gripper from the radius of one vacuum suction cup were obtained.
SECURING MOBILE AD-HOC NETWORKS USING ROBUST SECURED IPS ROUTING APPROACH THROUGH ATTACK IDENTIFICATION AND ELIMINATION IN MANETS
Authors:   Sethu Institute of Technology, India, Murugesan Punitha , Chelladurai Callins Christiyana ,   SRM Madurai College for Engineering and Technology, India, Kuluchamy Priyadharsini ,   Sethu Institute of Technology, India, Rajendran Umesh ,   Velammal College of Engineering and Technology, India
Published: October 2024

Mobile Ad-hoc Networks (MANETs) are susceptible to various security threats due to their decentralized and dynamic nature. Among these threats, Distributed Denial of Service (DDoS) and sibling attacks pose significant challenges to the integrity and availability of network services. This paper presents a novel approach for securing MANETs against DDoS and sibling attacks through a robust Intrusion Prevention System (IPS) integrated with a secured routing mechanism. The proposed methodology leverages residual transfer learning to adapt a pre-trained model for intrusion detection to the MANET environment, enhancing its effectiveness in identifying and mitigating attacks. The problem of securing MANETs against DDoS and sibling attacks is exacerbated by the lack of centralized infrastructure and the dynamic topology of the network. Traditional security mechanisms designed for wired networks are often ineffective in MANETs due to their reliance on centralized control and communication. This research addresses this gap by proposing an IPS solution tailored specifically for MANETs, capable of detecting and preventing attacks without relying on centralized coordination. By utilizing residual transfer learning, the proposed methodology addresses the challenge of limited labeled data in the MANET domain. Transfer learning enables the adaptation of knowledge from a pre-trained model on non-MANET data to improve the performance of intrusion detection in MANET environments. The integration of the IPS with a secured routing approach ensures that detected attacks are efficiently handled within the network, minimizing their impact on performance and ensuring continued operation. Experimental results demonstrate the effectiveness of the proposed approach in mitigating DDoS and sibling attacks in MANETs. The integrated solution achieves high detection rates while minimizing false positives, thereby enhancing the security and resilience of MANETs against evolving threats.
OPTIMIZING EFFICIENCY AND PERFORMANCE IN 5G NETWORKS THROUGH A DYNAMIC RESOURCE ALLOCATION ALGORITHMIC FRAMEWORK
Authors:   Government First Grade College for Women, Hassan, India, M J Sridevi , Sharma Pradosh Kumar ,   Cambridge Institute of Technology, India, M Dhiliphan Kumar ,   Kalasalingam Academy of Research and Education, India, D Loganathan ,   Cambridge Institute of Technology, India, Ahmed Saleem ,   Oryx Universal College, Qatar
Published: October 2024

With the exponential growth of data demand and the advent of 5G networks, the need for efficient resource allocation algorithms has become paramount. This study presents a dynamic resource allocation algorithmic framework aimed at optimizing efficiency and performance in 5G networks. The framework focuses on frequency reuse at the edges while employing fractional pilots for enhanced spectrum utilization. 5G networks promise unprecedented speeds and low latency, enabling a wide array of applications from IoT to augmented reality. However, the efficient allocation of resources remains a challenge, especially at the network edges where interference is high. Traditional static resource allocation schemes fail to adapt to dynamic network conditions, leading to suboptimal performance. The main challenge lies in effectively managing resources to meet the diverse demands of various applications while mitigating interference and maximizing spectral efficiency. The proposed framework employs a dynamic resource allocation algorithm that adapts to changing network conditions in real-time. Leveraging fractional pilots, the algorithm optimizes frequency reuse at the network edges, thereby enhancing spectral efficiency. The framework integrates stochastic learning for predictive analytics to anticipate resource demands and interference patterns. Simulation results demonstrate significant improvements in spectral efficiency and network performance compared to traditional static allocation methods. The utilization of fractional pilots effectively reduces interference, enabling higher throughput and lower latency, especially at the network edges. The dynamic nature of the algorithm ensures adaptability to varying traffic loads, leading to enhanced overall network efficiency.
BRIDGING CONNECTIVITY GAPS WITH DYNAMIC AND SELF-ORGANIZING COMMUNICATION IN AD-HOC WIRELESS NETWORKS
Authors:   KIT-Kalaignarkarunanidhi Institute of Technology, India, Chinnaswamy Sivamani , Gangane Vinod Wamanrao ,   QIS College of Engineering and Technology, India, P Prabaharan ,   QIS College of Engineering and Technology, India, K Venkata Ramana ,   QIS College of Engineering and Technology, India
Published: October 2024

Ad-hoc wireless networks are characterized by their dynamic and self-organizing nature, making them suitable for scenarios where traditional infrastructure-based networks are impractical or unavailable. However, the inherent mobility and decentralized nature of ad-hoc networks pose significant challenges in maintaining reliable connectivity. This paper proposes a novel approach to address these challenges by leveraging the Zone Routing Protocol (ZRP) to facilitate dynamic and self-organizing communication in ad-hoc wireless networks. The ZRP divides the network into overlapping zones, with each node responsible for routing within its respective zone. By dynamically adjusting zone boundaries based on network topology changes, ZRP enables efficient routing while minimizing overhead. This adaptability is crucial in ad-hoc environments where node mobility and network topology fluctuations are common. The evaluation results demonstrate significant improvements in connectivity, reduced routing overhead, and enhanced resilience to network dynamics compared to traditional routing protocols.
SECURING CYBERSPACE AGAINST CYBERBULLYING: A WIRELESS NETWORK SECURITY PERSPECTIVE
Authors:   Babu Banarasi Das University, India, Nishant Neerav , Saxena Parul ,   Soban Singh Jeena University, India, S G Surya ,   SCMS School of Engineering and Technology, India, Nayak Ullal Akshatha ,   Soban Singh Jeena University, India, Pal Subharun ,   Swiss School of Management, Switzerland
Published: October 2024

Cyberbullying has emerged as a pervasive issue in today''''''''s digitally connected society, with detrimental effects on individuals’ mental health and well-being. Despite increasing awareness and efforts to address cyberbullying, there remains a significant gap in utilizing wireless network security measures as a means of mitigation. The existing literature predominantly focuses on social and psychological aspects of cyberbullying, overlooking the potential role of wireless network security in prevention and intervention strategies. This research seeks to fill this gap by exploring the effectiveness of leveraging wireless network security to secure cyberspace against cyberbullying incidents. The research employs a multifaceted methodology, beginning with the estimation of expected rates and derivative risks of cyberbullying within wireless networks. These metrics are combined into a risk index value, which serves as a basis for prioritizing mitigation efforts. Additionally, the study explores the application of cyberspace modeling techniques, specifically Support Vector Machines (SVM), to enhance screening processes and identify potential cyberbullying incidents on Wireless Network Security (WNS). The findings of this research demonstrate the efficacy of integrating wireless network security measures into cyberbullying prevention strategies. By combining risk index values and leveraging SVM-based cyberspace modeling, the study identifies and prioritizes cyberbullying risks effectively. Furthermore, the implementation of wireless network security protocols contributes to a reduction in cyberbullying incidents, fostering safer digital environments for users.
ENHANCING SERVICE DISCOVERY IN MOBILE AD HOC NETWORKS USING SEMANTIC CLUSTERING AND HYBRID TRUST MANAGEMENT
Authors:   Christian College of Engineering and Technology, India, S Venkatesh Babu , P Ramya ,   PSNA College of Engineering and Technology, India, D Jebakumar Immanuel ,   Karpagam Institute of Technology, India
Published: October 2024

Mobile Ad Hoc Networks (MANETs) facilitate communication among mobile devices without relying on fixed infrastructure. However, service discovery in MANETs faces challenges due to the dynamic topology and limited resources of nodes. Existing solutions often lack efficient resource utilization and fail to address trust management adequately. The conventional approaches for service discovery in MANETs are inefficient due to their inability to incorporate semantic clustering and robust trust management. Semantic clustering enhances the accuracy of service discovery by grouping nodes based on similar interests or functionalities. Meanwhile, traditional trust management mechanisms are inadequate in dynamic environments, leading to unreliable service discovery results. The proposed methodology involves developing a semantic clustering algorithm to organize nodes based on their semantic similarities. Additionally, a hybrid trust management system is implemented to assess the reliability of discovered services. The system combines both reputation-based and recommendation-based trust models to enhance the accuracy of trust evaluations. Through extensive simulations and experiments, the effectiveness of the proposed approach is demonstrated. The results indicate that the integration of semantic clustering and hybrid trust management significantly improves service discovery efficiency and reliability in MANETs. The approach achieves higher precision and recall rates compared to conventional methods, even under dynamic network conditions.
Aktivisme, Budaya Populer, dan Media: Paradigma Protes terhadap Three Finger Salute dalam Berita Reuters
Authors: Antara I Putu Juni , Irawanto Budi
Published: October 2024

This study investigates the framing and presences of the protest paradigm in Reuters' coverage of activism events in Southeast Asia involving The Hunger Games' Three Finger Salute. In recent years, several protests in the region have adopted this salute as a means of expressing dissent against their respective governments. These diverse activisms not only attract media attention as political events but also signify interconnected political phenomena through a gesture inspired by popular narratives such The Hunger Games. Reuters, an international news agency, has shown a heightened interest in this phenomenon compared to other news agencies that focusing solely on political activities. While it is common for news reports to embody the protest paradigm when covering activism, Reuters' coverage specific focus on events involving the Three Finger Salute sets it apart. The protest paradigm highlights the media's tendency to depict social protests with a negative sentiment. Through text and framing analysis, this research delves into how Reuters selectively emphasizes certain aspects of these fan activisms. The findings reveal that Reuters framed the coverage of fan activisms around authoritarian government, youth and student, and royalist. Reuters also has negative sentiment and continues to perpetuate the protest paradigm.
S-H type waves un a sandwiched spherical model
Authors: Chatterjee Baidyanath
Published: October 2024

Se estudia la propagación de la onda S-H en una capa esférica heterogénea (la densidad p y el módulo de rigidez μ varían inversamente con el cuadrado de la distancia radial (r) desde el centro, de manera tal. que la velocidad de la onda de cizalle es constante) contenida entre una corteza esférica homogénea y un núcleo esférico homogéneo. Se deducen las ecuaciones de periodo y. lo apropiado de su uso se establece mediante resultados numéricos considerando el núcleo central como (J ) sólido y (2) fluido.
AutoML and Automated Data Science by Democratizing AI through End-to-End Automation
Authors: Patel Kush
Published: October 2024

The rise of data-driven decision-making has led to a significant demand for data science and machine learning (ML) solutions across industries. However, developing these solutions requires extensive expertise in data preprocessing, feature engineering, model selection, hyperparameter tuning and evaluation. AutoML (Automated Machine Learning) and Automated Data Science (AutoDS) have emerged as transformative approaches that aim to democratize data science by automating the endto-end ML pipeline. This paper explores the foundational concepts of AutoML, highlighting key techniques and algorithms, such as neural architecture search (NAS), hyperparameter optimization and meta-learning. We delve into AutoDS's broader scope, which seeks to fully automate tasks from data acquisition to deployment. Real-world applications, such as predictive modeling, anomaly detection and time series forecasting, are examined to demonstrate the impact of these technologies. Additionally, the paper analyzes the current frameworks and platforms facilitating automation, including Auto-sklearn, Google AutoML and H2O.ai and evaluates their performance across different tasks. While the potential to accelerate data science workflows and make AI accessible to non-experts is evident, challenges remain, particularly regarding transparency, interpretability and ethical considerations in fully automated systems. This research provides insights into current trends, future opportunities and the transformative role of AutoML and AutoDS in driving innovation in the data science landscape.
Integrating Twitter Sentiment with ML Models for Enhanced Stock Forecasting
Authors: Koolwal Divyansh
Published: October 2024

This research investigates the integration of Twitter sentiment analysis with machine learning models, specifically Long Short-Term Memory (LSTM), Facebook Prophet, and Neural Prophet, to enhance the accuracy of stock market predictions. While these models are accurate in capturing long-term trends and seasonality, they often fail when exploring the short-term volatility in stock prices. By using real-time social media sentiments, we aim to improve short-term prediction accuracy. Sentiment data from Twitter, extracted and classified using NLP techniques, was integrated with the models to predict stock prices for Apple Inc. (AAPL), Paramount Global (PARA), and BP plc (BP) over the period 2016-2024. The study compares the performance of the models using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Results show that Neural Prophet stood the best in terms of its accuracy and efficiency in stock predictions when compared to LSTM and Facebook Prophet, reducing RMSE by 25% and MAE by 20%. While the integration of sentiment analysis improved prediction accuracy, limitations remain in predicting the scale of sudden market changes. The findings highlight the potential of sentiment analysis in stock prediction but also call for further model enhancements to fully address short-term market volatility.
Survey Paper on Smart Note Taker
Authors: Kamat Shreya
Published: October 2024

The Smart Note Taker is an innovative tool designed to maximize the entire process of note taking. By doing so, it enables users to make quick and effective notes either handwritten or voice-activated. Using handwriting recognition and voice-to-text technology, the digital tool transcribes handwritten or spoken information as editable digital text. With cloudbased storage and real-time synchronization, users will be able to access and manage their notes anywhere, at any time, and on multiple devices, thus ensuring the smooth integration of the platform into the workflows of the user. In addition, multimedia is supported, and users are enabled to add images, audio, and video to their notes. Moreover, the AI-powered features, such as automatic summarization, content relevance, and suggestions, help users increase productivity. The Smart Note Taker might be taken to be prepared for students, for working professionals and visually impaired users. It should, therefore, be most adapted to the needs of modern note-taking in terms of being convenient, flexible, and accessible
Pengaruh Cash Turnover, Current Ratio, dan Debt to Equity Ratio Terhadap Profitabilitas Pada Perusahaan Properti yang Terdaftar di Bursa Efek Indonesia
Authors: Susanti Ni Putu Erika , Jayawarsa A.A. Ketut , Dewi Kadek Goldina Puteri
Published: October 2024

The purpose of this study is to determine the effect of cash turnover, current ratio and debt to equity ratio on profitability conducted in property companies listed on the Indonesia Stock Exchange. The sampling technique used was purposive sampling, so the samples in this study were 78 samples. The data analysis technique used is multiple linear regression. The results showed that Cash Turnover had no effect on Return On Assets in Property Companies Listed on the Indonesia Stock Exchange. This indicates that the increase in Cash Turnover cannot affect the increase in Return On Assets in Property Companies Listed on the Indonesia Stock Exchange. Current Ratio has a positive effect on Return On Assets in Property Companies Listed on the Indonesia Stock Exchange. This indicates that an increase. in the Current Ratio can affect the increase in Return On Assets in Property Companies Listed on the Indonesia Stock Exchange. Debt to Equity Ratio does not affect Return On Assets in Property Companies Listed on the Indonesia Stock Exchange. This indicates that an increase in the Debt to Equity Ratio cannot affect the increase in Return On Assets in Property Companies Listed on the Indonesia Stock Exchange
Pengaruh Rasio Capital Adequacy Ratio, Net Interest Margin, Non Performing Loan Terhadap Return on Asset Bank Konvensional Periode 2014 - 2022
Authors: Wirawan Ketut Adhi Wiyana , Jayawarsa A. A. Ketut , Putra I Komang
Published: October 2024

This research serves to fill in the gaps in knowledge from previous studies that discuss different opinions about each ratio. The focus is on the phenomenon of gaps in the relationship between ROA and bank financial performance. The purpose is to evaluate the effect of Capital Adequacy Ratio, Net Interest Margin, and Non Performing Loan on ROA both separately and together at these banks during the period 2014-2022. This research method is a quantitative approach purposive sampling technique to select a sample consisting of five leading conventional banks in Indonesia. The results of the analysis using multiple linear regression and hypothesis testing, the effect of Capital Adequacy Ratio on ROA is not significant, Net Interest Margin has a significant positive effect on ROA, Non Performing Loan on ROA has a significant negative effect, Capital Adequacy Ratio, Net Interest Margin, Non Performing Loan as a whole has an effect on ROA.
Unpacking social media `engagement': a practice theory approach to science on social media
Authors: Davies Sarah R. , Wells Rebecca , Zollo Fabiana , Roche Joseph
Published: October 2024

Social media engagement is typically associated with actions such as sharing, liking, or commenting, and is often measured as such in quantitative analyses. This essay explores what is being captured through these methods by `unpacking' such engagement, arguing for a practice-oriented approach that takes into account the mundane ways in which non-scientists may encounter and use scientific content. We describe practice theory in the context of media production and use, before illustrating the approach with material from comments on Facebook posts produced by science-related sources. In showing the uses of science content in maintaining social bonds or performing particular identities (for instance), we argue that science communication research needs to study the wider contexts of how and why users encounter science online, and that the notion of social media practices can help us to do so.
XIV Encuentro Nacional de Investigación e Innovación en Enfermedades Infecciosas y IV Encuentro Latinoamericano de Investigación en Enfermedades Infecciosas
Authors: Rodríguez Iván
Published: October 2024

Es un honor darles la más cordial bienvenida al XIV Encuentro Nacional de Investigación e Innovación en Enfermedades Infecciosas y IV Encuentro Latinoamericano de Investigación en Enfermedades Infecciosas, en el maravilloso distrito especial de Ciencia y Tecnología e Innovación, Medellín, Colombia. Este encuentro científico reúne a destacados especialistas en el campo de las enfermedades infecciosas y todos aquellos profesionales interesados en las enfermedades infecciosas, con el objetivo de fomentar el intercambio de conocimientos, explorar avances en investigación, y compartir innovaciones que marcan la pauta en nuestra práctica clínica. Nos encontramos en una era en la que las enfermedades infecciosas son uno de los desafíos más apremiantes para la salud pública mundial. A pesar de los logros significativos en su diagnóstico, tratamiento y prevención, las amenazas emergentes y reemergentes, junto con la resistencia antimicrobiana y las nuevas zoonosis, nos obligan a mantenernos en constante actualización y a seguir explorando soluciones innovadoras. Este “Encuentro” nos brinda una plataforma excepcional para discutir avances científicos que están transformando el diagnóstico y manejo de las infecciones, así como para explorar nuevas herramientas terapéuticas y estrategias de control. A lo largo de estas jornadas, contaremos con la participación de reconocidos expertos nacionales e internacionales, quienes compartiran sus investigaciones más recientes, estudios y enfoques multidisciplinarios para abordar las problemáticas más relevantes del campo. Hemos preparado un programa académico de excelencia, con un conversatorio inaugural de alto nivel que incluye 4 simposios patrocinados, 136 presentaciones orales y 150 tipo poster, con 18 trabajos completos modalidad oral y 38 trabajos completos en poster, para un total de 342 trabajos originales, los cuales demuestran la vitalidad de la investigación realizada por los miembros de nuestra asociación y los investigadores en enfermedades infecciosas de Colombia y de países vecinos. Los trabajos cubren un amplio espectro de temas, incluyendo ciencias básicas, clínicas, uso de nuevas tecnologías, salud pública, economía, e innovaciones. Asimismo, ofreceremos un espacio para la integración, fomentando el diálogo y la colaboración entre los investigadores jóvenes y los líderes establecidos en este campo. Queremos aprovechar esta oportunidad para agradecerles por su compromiso con el cuidado de la salud y por su invaluable contribución contra las enfermedades infecciosas. Sin duda, el intercambio de ideas y experiencias durante este evento será fundamental para avanzar en nuestra comprensión y manejo de estas patologías. Esperamos que este “Encuentro” sea una experiencia enriquecedora para todos, y que los conocimientos compartidos aquí, se traduzcan en mejores prácticas y en el fortalecimiento de la salud pública global.
DESAFIOS NA ADESÃO MEDICAMENTOSA SOB A PERSPECTIVA DOS PROFISSIONAIS DE SAÚDE DA ATENÇÃO PRIMÁRIA
Authors: Santos Jenniffer Ponsoni dos , Acosta Ana Rojas
Published: October 2024

This study explores the factors influencing medication adherence among patients of the Family Health Strategy (ESF) in Embu das Artes/SP, based on the perspectives of healthcare professionals. The qualitative research, which involved semi-structured interviews and a literature review, identified low health literacy among patients as the primary barrier. Adherence to treatment is influenced by internal factors, such as patient perception and motivation, as well as external factors, including socioeconomic status and cultural aspects. The lack of understanding regarding the importance of medications and the chronic nature of diseases exacerbates the problem, leading to elevated risks such as mortality and hospital readmission. Professionals reported challenges such as fear of side effects and confusion over medication schedules. These issues underscore the need to enhance healthcare professionals' training to develop educational strategies aimed at providing health literacy and achieving more effective treatment adherence.
Caracterización de suelos de subrasante mediante el uso del penetrómetro dinámico de cono (PDC)
Authors: MacGregor Torrado Agustín , Gallarda Amaya Romel Jesús , Yulady Jaramillo Haideé
Published: October 2024

En el desarrollo de proyectos viales, así como en diferentes obras de infraestructura, es necesaria la caracterización de los materiales para conocer su comportamiento, en el caso de los materiales de sub-rasante, su capacidad de soporte se puede definir mediante el índice CBR, el cual es un indicador de su resistencia al cortante y cuya estimación se hace mediante diversos métodos de campo y laboratorio.
El objetivo de esta investigación es la caracterización del suelo como material de sub-rasante a partir del índice CBR obtenido con el ensayo de penetrómetro dinámico de cono (PDC) para vías no pavimentadas del municipio de Ocaña. Se han planteado cuatro etapas de trabajo: Reconocimiento de campo, muestreo, ensayos de campo y laboratorio y análisis de los resultados.
Los suelos en las zonas de estudio poseen un contenido significativo de finos con porcentajes entre 7% y 70% que clasifican como arenas y arcillas según el sistema unificado SUCS, con índices de plasticidad entre 6 y 25, e índice de PDC entre 2 y 75 que corresponde a valores de CBR entre 58% y 5% respectivamente, esto aplicando la ecuación que plantea la norma I.N.V. E 172-13.
En conclusión, el uso de este método para la caracterización de suelos de sub-rasante es una alternativa que brinda economía y rapidez para la medición de la capacidad de soporte mediante el índice CBR. Desde el punto de vista del comportamiento el índice PDC permite clasificar la sub-rasantes en un rango de Pobre a Excelente, lo cual brinda una perspectiva inicial de la calidad del terreno.
Fortalecimiento de la calidad de los Ambientes Virtuales de Aprendizaje (AVA) en Instituciones de Educación Superior (IES) a través de la implementación de estrategias pedagógicas y la toma de decisiones basadas en técnicas de big data
Authors:   Universidad Nacional Abierta y a Distancia, Rincón León Daniel , Aranda Lozano Diego Fernando ,   Universidad Nacional Abierta y a Distancia, Munevar García Pablo Alexander ,   Universidad Nacional Abierta y a Distancia, Delgado Quintero Darío José
Published: October 2024

Las Instituciones de Educación Superior (IES) en búsqueda de la calidad educativa y la inclusión social, diseñan sistemas de información como herramientas para docentes y directivos que les aporten a la toma de decisiones con el propósito de alcanzar sus metas. En la actualidad debido a la pandemia ocasionada por el COVID-19, cada vez más, las IES utilizarán los Learning Management System (LMS) integrados a sus Virtual  Learning Environment (VLE) para que sus estudiantes realicen su proceso de enseñanza-aprendizaje. Este proyecto de investigación se llevó a cabo en el marco del convenio entre la Universidad Nacional Abierta  y a Distancia (UNAD) y el Sistema General de Regalías (SGR) del departamento de Antioquia en conjunto con  el Ministerio de Ciencias de Colombia MinCiencias, con el objetivo de generar estrategias, herramientas y modelos que permitan cualificar los procesos de enseñanza- aprendizaje en programas de educación virtual y mejoren los indicadores clave de deserción y permanencia de los estudiantes. La UNAD facilitó un conjunto de datos pertenecientes a 3317 estudiantes en modalidad virtual del departamento de Antioquia, dichos datos representan la interacción de los estudiantes en el VLE. Producto del  análisis de este conjunto de datos se logró definir una herramienta tipo panel de control y un modelo de validación de la experiencia de usuario de estudiantes y docentes en el VLE que permiten adoptar estrategias  de inteligencia y analítica de negocios para IES, como soporte para el diseño de modelos instruccionales  que permitan el mejoramiento continuo de la calidad educativa virtual a corto, medio y largo plazo.
Early evidence on mandatory sustainability reporting assurance market development in the European Union: The case of Lithuania
Authors: Raudonienė Daiva , Legenzova Renata
Published: October 2024

This study examines the intentions and readiness of Lithuanian audit firms to provide sustainability reporting assurance services under the new EU Corporate Sustainability Reporting Directive. This study provides valuable insights into the intentions and readiness of Lithuanian statutory audit firms and statutory auditors to offer sustainability reporting assurance services, thus serving as a useful benchmark for other EU countries. By understanding the factors influencing audit firms’ decisions to provide SRA services and the challenges they face, policymakers and regulatory bodies in other EU countries can tailor their strategies to support the development of the SRA market.
Payment gateway selection for online purchases: Evidence of an emerging market
Authors: Buranasujja Ranida , Kraiwanit Tanpat
Published: October 2024

The objectives of this research are to study attitudes that affect payment gateway selection for online purchases in Thailand and to study various variables that affect payment gateway selection for online purchases in Thailand, especially payments through banks. The research adopts a quantitative data collection and analysis. Quantitative data was gathered from 1,635 respondents with closed-ended questionnaires through social media, statistical analysis software, and binary regression to explore the relationship between independent and dependent variables. This study provides a brief overview of how consumers decide on payment gateway selection for online purchases in Thailand, focusing on banks and non-banks. The selection of payment methods is a new and interesting issue that has made people interested in and has become more and more popular until now. Therefore, this is the reason to raise this issue and from researching information, there is no research topic regarding the selection of payment gateway selection for online purchases in Thailand. Nowadays, the use of the Internet is growing rapidly. As a result, the rate of access to mobile and internet banking services through PromptPay has increased, which is considered the most convenient payment method. Therefore, mobile banking reduces consumers’ cash holdings, reduces transaction costs for each payment, stimulates consumption, and creates opportunities for startups and small and medium-sized enterprises (SMEs). It also promotes access to financial services and stimulates economic growth (Suwanragsa et al., 2020).
Mergers and acquisitions — The special case of German family firms: Research needs
Authors: Ulrich Patrick , Stockert Felix
Published: October 2024

Family firms represent the predominant business organization in Germany, accounting for 90% of all active companies. Despite the growing significance of family business research, mergers and acquisitions (M&A) involving these firms remain underexplored. This study addresses the unique characteristics and success factors pertinent to M&A transactions involving German family firms. By systematically reviewing the existing literature and conducting primary empirical research, this study aims to uncover specific success factors for these transactions. The findings will aid family businesses in navigating M&A activities to ensure long-term sustainability, especially in light of challenges such as business succession. Initial results suggest that family firms prioritize different values, such as socio-emotional wealth and sustainability, over purely financial indicators during M&A decisions. The study concludes with recommendations for future research to further elucidate these dynamics.
Types of leadership and their impact on the effectiveness and efficiency of the public organizations: A literature review
Authors: Vasilios Vyttas , Xanthopoulou Panagiota I.
Published: October 2024

This study rigorously examines the exercise of leadership within public administration and its profound influence on the operational effectiveness and efficiency of public sector organizations. The goal is to discern which leadership style most effectively fosters public service delivery