bluuebunny/crossref_metadata_2025 huggingface dataset:
Vessel Tracking System Based LoRa SX1278
Authors: Apriani Yosi , Oktaviani Wiwin A , Sofian Ian Mochamad
Published: January 2025

This research presents a vessel tracking system that provides real-time coordinate and speed information. The idea behind the development of this system originated from Automatic Identification System (AIS) technology, which functions as a vessel monitoring system in maritime areas. The system aims to improve navigation safety, monitor vessel traffic, and maritime security. In Indonesia, AIS is regulated by the Ministry of Transportation. However, this technology has not yet been implemented in river waters. In addition, AIS is a complex and expensive system. In this research, geographic location detection information in the form of a vessel tracking system is obtained using the UBlox Neo-6M GPS module based on LoRa technology. The LoRa mechanism periodically sends location data and vessel speed from the node to the gateway. The data is then sent to the ThingSpeak server using the MQTT protocol. On the server, the data can be accessed for further analysis. The developed system shows that the research can be realized and the system functions properly through a series of experimental tests. While in the in situ test, the system displayed good performance on LoRa SF 7 configuration with a signal strength of -118 dBm within the communication range of 1000 meters. This result can be improved by considering the MAPL value of -138 dBm.
Development of Simple Control System for a Negative Pressure Wound Therapy Device
Authors: Davida Angga , Basari Basari
Published: January 2025

Diabetic ulcers are wounds found on the legs of diabetic patients. Improper treatment opens the risk of complications like sepsis and osteomyelitis. A notable method of treatment is through a Negative Pressure Wound Therapy (NPWT) device. This device helps ulcer recovery by removing exudate, increasing blood flow, and promoting cellular proliferation via negative pressure. The objective of this study is to increase the local content of an affordable and effective method of diabetic ulcer therapy by developing a simple, low-cost NPWT prototype. This was achieved by using an Arduino UNO microcontroller, which included PID controls, an MPXV4115VC6U sensor reading function, an in-built timer, two modes, and an alarm system. The resulting prototype was calibrated before testing to reduce error rates. Testing was conducted using a Gas Flow Analyzer and an ulcer wound phantom. Negative pressure settings of 75, 85, and 125 mmHg were used for testing and were conducted on both modes for 30 minutes each. From these tests, it was found that the prototype could reach the negative pressure thresholds with minimal average error of at most -1.81%. With a wound phantom, the average error was -0.56% and -0.20% for the continuous and intermittent modes respectively. This small variance is negligible because NPWT therapy has a wide range of acceptable negative pressure, namely 60-80 mmHg and 80-125 mmHg, depending on wound type. In conclusion, a simple Arduino UNO-based system can function as an NPWT therapy device to aid diabetic ulcer recovery with minimal error.
Comparative Analysis of Apache 2 Performance in Docker Containers vs Native Environment
Authors: Saputra Rizky Bintang , Subektiningsih Subektiningsih
Published: January 2025

Web servers have become crucial to facilitate access to and distribute such content on the internet. In this case, Docker containerization technology offers a solution. Docker allows developers to package applications and dependencies in one container, making deploying web servers faster and easier. But with these features, is there any performance that must be sacrificed if we choose to use docker in our web server deployment process. We will look at how much performance will be sacrificed. However, we must thoroughly analyze how Apache2 performs when running in a Docker container compared to running natively. That's why we're conducting a study to compare the performance of Apache2 in a Docker container versus a native environment using experimental methods. For this study, we'll use the Apache bench tool to test Apache2's performance in both environments. By experimenting, it should become clear how the performance of Docker containers compares to native environments when developing web servers. The research shows that Apache2 performance on native hosts is about 5-10% better than in a docker environment in handling small request loads. The better performance here refers to the parameters we tested: total time results, requests per second, and transfer speed. The request load variation can differ depending on the server specification itself. Although Docker offers features in terms of application isolation and scalability, our results show that running Apache2 natively is more efficient without changing its default configuration. The additional overhead Docker can be required to run the docker system in isolating the application; in this case, the virtualization layer is required to run Apache2 inside a Docker container. This can affect application performance and cause a slight performance degradation compared to using the host operating system directly. This research aims to inform developers about the performance difference between apache2 in Docker and the native environment. It will help them make informed decisions about deployment environments. Docker offers appealing features, but its performance may need to improve.  Test results show that the native host performs better, although its feature set is not as extensive as that of Docker.
Modeling Human Mobility by Train on the Spread of COVID-19 in East Java Province Using Distance-Decay PageRank Algorithm
Authors: Al-Fajri Rizha , Hardhienata Medria Kusuma Dewi , Herdiyeni Yeni
Published: January 2025

Since early 2020, the world has been dealing with the COVID-19 outbreak. A person who has been infected with COVID-19 has the potential to transmit the virus to others. This study aims to model human mobility by train using the spatial network in East Java Province. This research examines the relationship between human mobility by train and the spread of COVID-19 in East Java Province. The spatial network is formed based on train stations and train trips, and the model was created using the Distance-decay PageRank algorithm. This research has modeled human mobility using the train in East Java Province. The result shows that human mobility by train is highly correlated with the spread of COVID-19 in East Java Province, with a correlation coefficient of 0.7 (r = 0.7).Since early 2020, the world has been dealing with the COVID-19 outbreak. A person who has been infected with COVID-19 has the potential to transmit the virus to others. This study aims to model human mobility by train using the spatial network in East Java Province. This research examines the relationship between human mobility by train and the spread of COVID-19 in East Java Province. The spatial network is formed based on train stations and train trips, and the model was created using the Distance-decay PageRank algorithm. This research has modeled human mobility using the train in East Java Province. The result shows that human mobility by train is highly correlated with the spread of COVID-19 in East Java Province, with a correlation coefficient of 0.7 ( = 0.7).
Monitoring the pH Levels of Well Water in the Home Industri Sarung Goyor Village, Pemalang, Using IoT Technology and Inverse Distance Weight Method
Authors: Ashari Imam Ahmad , Purwono Purwono , Arfianto Irfan
Published: January 2025

The Sarung Goyor Home Industry business, located in Wanarejan Utara Village, Pemalang, has been running for several years. However, the use of residual textile dyes in the process of making goyor sarongs now poses a threat to the quality of well water in the area where residents live. This condition is a serious concern because some residents rely on water from the well for drinking, cooking, bathing, and washing. One of the impacts of this textile waste is abnormal water pH. The solution requires real-time monitoring of the pH of well water by utilizing Internet of Things (IoT) technology and pH sensors. In this solution, direct sampling using sensors is carried out at 3 monitoring points around the industrial area and processed to estimate the pH level of residents' well water. This monitoring system succeeded in showing that the average pH of well water was in a safe condition, namely 7.18, not much different from tests carried out with reference sensors, namely a pH range between 6.96 to 7.20. The findings show that in testing the assembled sensor, the IDW method has a measurable error rate with an RMSE of about 0.2629 and a MAPE of about 4.669%. When compared with the test results using a reference sensor, the RMSE value reaches around 0.4666 and the MAPE is around 6.553%.
Strength analysis of reinforced concrete in a closed space of a metal pipe
Authors: Pavlikov Andriy , Kochkarev Dmytriy , Harkava Olga , Andriiets Kateryna
Published: January 2025

The concrete strengthening coefficient calculating method of concrete-filled steel tubular members at axial compression based on the plasticity theories by Saint-Venant and Huber-Mises-Genk. This method is used for calculating values taking into account the concrete meridional pressure on the pipe and axial stresses in it. The following tubular concrete element strength equation is obtained, where the stresses in the pipe reach the limit values at the element destruction moment, that is the materials strength is used completely. An calculation example is given and the strengthening coefficient calculation results are compared according to both theories. For determining the proposed method accuracy it is planned to compare the results of the calculation with experimental data
Civil building frame-struts steel carcass optimization by efforts regulation
Authors: Semko Oleksandr , Hasenko Anton , Filonenko Olena , Mahas Nataliia
Published: January 2025

With steel structures help it is possible to construct buildings with individual dimensions and different functions, using typical design solutions. The increase in the load-bearing building structures unification level is facilitated by the use of the same transverse frames, which are installed with an equal step. It is possible to ensure the frame stiffness in its own plane by installing struts between the column and the beam. In this case, the crossbar must be calculated as a beam on the hinged supports on the frame columns and on the intermediate elastic supports with a given predetermined stiffness on the struts. By adjusting the struts stiffness and their installation scheme, it is possible to adjust and optimize the stress along the length of the crossbar
Reflection of statistical nature of steel strength in steel structures standards
Authors: Hudz Serhii , Horb Oleksandr , Pents Volodymyr , Dariienko Viktor
Published: January 2025

The main stages of creating a spatial model of the steel frame are considered for industrial buildings or warehouses with a pitched roof. Different approaches to the analysis of internal forces of the first and second orders and the stability calculation for steel elements of building structures under the combined action of compression and transverse bending are highlighted using software applications. Ways to improve the process of creating a calculation model, design documentation, and working drawings are outlined. A comparison of specialized software products for calculating building models with portal frames (Autodesk Robot Structural Analysis Professional, PortalPlus, Consteel, Tekla Structural Designer, and Dlubal RFEM) is presented. Their advantages and disadvantages are indicated
Organizational and technological aspects of applying ecological criteria in innovative low-rise construction
Authors: Perehinets Ivan , Nazarenko Ivan , Nesterenko Mykola , Nesterenko Tetiana
Published: January 2025

At the current stage of society's development, more and more attention is paid to the search for constructive solutions to facilitate a healthy lifestyle. The work presents a cluster approach to the formation of the project of an innovative low-rise building under the conditions of ensuring environmental criteria, the principles of green construction by the flow method of raising buildings from ecological materials and quickly assembled modular elements. Such houses have low energy costs and make the most of the circle of quality and comfortable living. The solution of the specified approach and the adoption of relevant decisions were carried out using classical parametric system analysis and structural synthesis.
A Novel Forced Scrambling Model Under Time-Scaled Surveys for Estimation of Population Variance
Authors: Azeem Muhammad , Salam Abdul , Hussain Sundus
Published: January 2025

In survey sampling, forced randomized response models are special variants of traditional models employed by researchers in sensitive surveys. The existing forced models are based on traditional one-time surveys where the respondents are interviewed only at a single time-point. These existing one-time survey-based models suffer from a serious drawback - the scrambling process is performed only once by each respondent. The lack of replication usually results in measurement errors which often have a negative influence on the estimators of population parameters. This study reveals that time-scaled surveys provide more efficient estimates of the population variance of sensitive variables than the traditional one-time surveys, under forced randomized response models. An Exponentially Weighted Moving Average (EWMA) estimator is used to estimate the population variance, based on the responses obtained at different time points. Further, a new forced randomized scrambling model is also proposed and the improvement over the available models is observed.
G-filters and Generalized Complemented Distributive Lattices
Authors: Gunda Jogarao , Sirisetti Ramesh , Bandaru Ravikumar , Shukla Rahul
Published: January 2025

In this work, we derive a class of filters (G-filters, normal G-filters, and co-dense filters) in a distributive lattice (with dense elements). We also verify the various algebraic properties of these filters. It is observed that the set of co-dense filters forms an uninduced distributive lattice, and the set of G-filters forms a Boolean algebra. We characterize quasi-complemented distributive lattices using G-filters and normal G-filters. Using normal G-filters, we demonstrate several necessary and sufficient requirements for a distributive lattice to become quasi-complemented. Also, we introduce generalized complementation on a distributive lattice and characterize it in terms of quasi-complemented distributive lattices.
Heat Transfer and Magnetohydrodynamic Nanofluid Flow Caused by a Stretching Sheet Heated Convectively: Numerical Investigation
Authors: Adel Mohamed , Khader M. M. , Babatin M. M. , Alraddadi I. , Alaidrous A. , Ismail G. M.
Published: January 2025

This paper describes a new study that looks at how a magnetohydrodynamic (MHD) nanofluid moves and transfers heat over a porous medium with a stretched sheet that moves in a straight line. This study investigates the effects of heat radiation, viscous dissipation, and convective boundary conditions (CBCs) on the dynamics of nanofluids, an area that has received insuffi-cient exploration despite its significance in both commercial and scientific contexts. The research formulates the fundamental conservation equations for mass, momentum, heat, and nanoparticle concentration, which are transformed from nonlinear PDEs into a system of ODEs. These equations are solved numerically using the Hermite collocation method (HCM), with results visualized to illustrate the impact of key physical parameters. This work has practical applications in fields such as cooling technologies, energy systems, and materials engineering, where enhanced thermal management and precise control over nanofluid properties are crucial for performance optimization.
Numerical Investigation of the Dynamical Behavior of Hepatitis B Virus via Caputo-Fabrizio Fractional Derivative
Authors: Ahmad Imtiaz , Jan Rashid , Razak Normy Norfiza Abdul , Khan Aziz , Abdeljawad Thabet
Published: January 2025

Hepatitis B is a viral infection that primarily targets the liver, potentially causing acute or chronic liver diseases with severe complications, such as cirrhosis and liver cancer. Its persistent prevalence underscores its status as a noteworthy global health issue. In this research, we construct a mathematical model for the progression of  hepatitis B through fractional derivative, accounting for a two-dose vaccine regimen. The basic results and concepts of the Caputo-Fabrizio (CF) derivative has been presented for the analysis of the model. We investigate the infection-free equilibrium of the model and determine the endemic indicator of the system with the help of next-generation matrix method, indicated by $\mathcal{R}_0$.  We demonstrate that the infection-free equilibrium of the model exhibits local asymptotic stability when $\mathcal{R}_0 <1$, and instability in all other scenarios. We establish conditions ensuring the existence and uniqueness of solutions for the proposed fractional dynamics model of hepatitis B. In addition to this, we present a new numerical method for analyzing the time series analysis of the system. Through our investigation, we elucidate the impact of input variables on the dynamic behavior of the system and identify the critical factors within the model. Our analysis identifies key parameters of the model that can be targeted for the control and management of hepatitis B infection.
Approximation Theorems for Exponentially Bounded K−convoluted C−cosine Functions
Authors: Bajjou Youssef , El Amrani Abdelkhalek , Blali Aziz
Published: January 2025

Let C : E → E be a bounded linear operator on a complex Banach space E and K : [0, +∞[→ C a locally integrable function. The aim of this paper, based on the theory of K- convoluted C-cosine functions, is to study the approximation theorem for K-convoluted C-cosine functions by showing the relation between the convergence of the sequence of C-resolvent and the exponentially bounded sequence of K-convoluted C-cosine functions.
Some Families of Differential Equations for Multivariate Hybrid Special Polynomials Associated with Frobenius-Genocchi Polynomials
Authors: Wani Shahid Ahmad , Patil Shivtej , Ramirez William , Hernandez Juan
Published: January 2025

This article introduces a new class of multi-variate Hermite-Frobenius-Genocchi polynomials and explores various characterizations of these polynomials. We examine their properties, including recurrence relations and shift operators. Using the factorization method, we derive differential, partial differential, and integrodifferential equations satisfied by these polynomials. Furthermore, we present the Volterra integral equation associated with these multi-variate Hermite-Frobenius-Genocchi polynomials, which improves our understanding and application of the factorization method in fields such as physics and engineering.
Stability Analysis of Fractional Chaotic and Fractional-Order Hyperchain Systems Using Lyapunov Functions
Authors: Abdulrhman Thwiba
Published: January 2025

This study investigates the stability of nonlinear systems, particularly those characterized by eigenvalues. We introduce dynamic Lyapunov functions as a mechanism for stability analysis, especially when explicit solutions are not available. The authors provide stability criteria at the equilibrium point, demonstrating exponential stability and ensuring a return to equilibriumfollowing disturbances. The results have a big effect on the design and analysis of control systems because they provide a new way to achieve stability without using complicated calculations or assumptions. The abstract delineates the Riemann–Liouville fractional integral, Caputo fractional integrals and derivatives, and the Mittag–Leffler function. The research employs the root–Horwitz criteria and introduces a novel formulation of the superchaotic Chen system. Fractional superchain systems (FHCS) represent a sophisticated framework for investigation.
Thermal and Concentration Analysis of Mucociliary Johnson-Segalman Fluid Flow in Chronic Obstructive Pulmonary Disease
Authors: Alaidrous Amel , Ashraf Hameed
Published: January 2025

Analyzing mucociliary transport’s thermal and concentration aspects is crucial for comprehending mucus hypersecretion mechanisms in chronic obstructive pulmonary disease (COPD). The present paper uses a mathematical model of two-layered fluid flow in a finite two-dimensional airway channel. This model uses the hypersecretion scenario, where goblet cells secreted mucus in large volume, leading to complete blockage of the airway channel as the airway ciliary layer (ACL) and peri ciliary layer (PCL). Johnson-Segalman fluid model is used to characterize secreted mucus. The analysis delineated that temperature rises with increasing conductivity ratio, pressure gradient at the airway channel entrance, and Weissenberg number of PCL, while concentration decreases with increasing pressure gradient at the airway channel entrance and Weissenberg numbers. The analysis also highlights the impact of high Weissenberg numbers on mucus velocity. Johnson-Segalman fluid better characterizes secreted mucus as it improves mucus clearance in the respiratory system, particularly in patients with severe COPD.
A Modified Conjugate Gradient Method with Taylor Approximation: Applications in​ Electric Circuits​ and Image Restoration
Authors: Alhawarat Ahmad , Masmali Sultanah , Masmali Ibtisam , Al-Baali Mehiddin , Ismail Shahrina
Published: January 2025

In this century, the application of optimization methods is frequently utilized in numerous fields like image restoration, electrical engineering, medical science, machine learning (ML), signal processing as well as many others. In this paper, we choose to improve and maintain one of the most popular, low-memory, and simple algorithms of optimization methods. This method is known as the conjugate gradient method (CGM). Here, we develop a new 3-term CGM with several search directions in the third term suitable for any CGM related to the Fletcher-Reeves method. Apart from that, we propose a new 3-term CGM with mild conditions for any method in relation to the Polak-Ribière-Polyak method. The proposed method satisfies the descent and convergence properties. Moreover, in the numerical findings section, we perform a comparison of the new method with several renowned methods that have emerged in this century, such as CG-Descent 6.8 and nonnegative Dai-Liao methods utilizing more than 180CUTEst library functions. The numerical findings indicate that the novel approach surpasses recent methodologies. These numerical findings encompass the count of gradient assessments, function assessments, CPU duration as well as iteration count. Additionally, we discussed the implementation of the CG method in image restoration and pi-electric circuits.
Almost Near $(\tau_1,\tau_2)$-continuity for Multifunctions
Authors: Chutiman Nipaporn , Sama-Ae Areeyuth , Boonpok Chawalit
Published: January 2025

This paper presents new classes of multifunctions called upper almost nearly $(\tau_1,\tau_2)$-continuousmultifunctions and lower almost nearly $(\tau_1,\tau_2)$-continuous multifunctions. Moreover, several characterizationsand some properties concerning upper almost nearly $(\tau_1,\tau_2)$-continuous multifunctions and lower almost nearly $(\tau_1,\tau_2)$-continuous multifunctions are established.
Analysis of Stability, D-Stability, and Pseudospectra in Economic Modeling
Authors: Rehman Mutti-Ur , Hamed Sakeena E. M. , Taha Nidal E. , Mustafa Arafa O. , Dilmurodov Khurshidbek , Mahgoub Hala S. , Magzoub Mona , Bashir Runda A. A. , Mohammed Mustafa M. , Bakery Awad A.
Published: January 2025

The analysis of dynamic stability is a fundamental and an important concept in systemdynamics. Its focus is on the ability of a dynamical system to return to an equilibrium stateunder structured perturbations. The study of dynamic stability plays critical role in various fields,for instance, engineering, control theory, and economics. The analysis on the dynamic stability mostly involves computation of the eigenvalues of a system’s state matrix. The D-stability is a particular and specialized form of dynamic stability, and its mainly focus dynamical systems subject to structured perturbations. In this paper, we present new results on dynamic stability, and D-stability of a class of linear economic model in the mathematical form
$$y_t = Ay_t + By_{t-1} + Cx_t,$$
with $y_t$ is  a vector of the endogenous variables, xt is a vector of exogenous variables, and A, B, and C are the matrices having an appropriate dimensions. The new results are developed on both necessary and sufficient conditions on the interconnection between D-stable matrices and structured singular values. The numerical experimentation show the behaviour of structured singular values for matrices appearing across linear dynamic model.
Modeling the Response of the Immune System to HIV-tumor Interaction via a Fractional Framework
Authors: Jan Rashid , Alsulami Mansoor , Abdul Razak Normy Norfiza
Published: January 2025

The interaction between cancer and HIV underscores the paramount significance of immune response mechanisms in both diseases, illuminating the necessity for tailored management and treatment approaches to address cancer in individuals living with HIV. In this study, a mathematical model is formulated to conceptualize the interaction between HIV and tumors in relation to the immune system's response. The basic theory and concepts of the Caputo-Fabrizio operator are presented to analyze the recommended dynamics. The dynamics of HIV and tumor interactions in the context of immune response are systematically investigated. A numerical scheme is developed to examine the suggested system and to assess the role of various input factors on the dynamics. The numerical results delineate key parameters that govern the complex phenomena between HIV-tumor and immune dynamics, offering crucial insights that can inform public health interventions and treatment strategies.
Proposal for a Generalized Convolution to Mitigate Heat Generation in Convolutional Neural Networks
Authors: Kim Hwajoon , Kang Byeongjae , Yeun Sunyoung , Lim Eunyoung
Published: January 2025

In convolutional neural networks (CNN), the problem of heat generation is becoming a significant issue. This challenge can be mitigated through both hardware and software methods. This study focuses on drastically reducing the amount of computations and, consequently, the heat generation. Specifically, the proposed approach reduces computations by approximately $m \times 2^n$, where $m$ is the number of layers and $n$ is the size of the node.
New Criteria for Guaranteeing Oscillation of Second-Order Differential Equations with Several Delays
Authors: Aldosari Faten
Published: January 2025

The primary objective of this work is to establish new criteria to guarantee the oscillation of solutions for second-order differential equations with p-Laplace type operator. New prerequisites are presented in order to analyze the oscillatory features of the analyzed equation. To support these Öndings, we employed a range of analysis tools, creating new conditions to address some of the problems that have hindered previous research. We were therefore able to obtain results that both build upon and extend those discovered in earlier studies by applying the Riccati transformation and the principles of comparison. Several examples are given to illustrate the significance of our results.
La reflexión del docente de educación básica desde la complejidad: Una revisión documental
Authors: Garza Castillo Martín , Alvarado Martínez Elizabeth
Published: January 2025

En este artículo, con enfoque metodológico cualitativo y una revisión documental, se plantean tres dimensiones: reflexión docente, reflexión y complejidad, y formación docente desde la reflexión para contribuir al proceso de crecimiento y desarrollo holístico del docente. Se busca activar ideas sobre la práctica docente e implementar estrategias que promuevan una reflexión concreta y una visión hacia el establecimiento de ambientes donde se manifiesten diversas representaciones para abordar el contexto y su entendimiento de una manera más compleja, a través de la relación de diferentes dimensiones de la realidad, tal como Morin (2005) lo señala. En conjunto, las perspectivas de los autores resaltan la importancia de la reflexión docente como un proceso dinámico y contextualizado, crucial para el crecimiento profesional, que contemple el actuar del alumno y del docente en su quehacer cotidiano.
El potencial del uso de laboratorios virtuales en la UANL
Authors: Cavazos Salazar Rosario Lucero
Published: January 2025

El ensayo explora el uso de laboratorios virtuales como una herramienta innovadora en el proceso de enseñanza-aprendizaje en la Universidad Autónoma de Nuevo León (UANL). Se destaca cómo la realidad virtual (RV) ha transformado la educación, ofreciendo experiencias inmersivas que facilitan la comprensión de conceptos teóricos y prácticos. Los laboratorios virtuales permiten a los estudiantes realizar experimentos en entornos simulados, fomentando el aprendizaje autónomo y la adquisición de competencias como la toma de decisiones y la resolución de problemas. A pesar de los desafíos tecnológicos y la necesidad de capacitación docente, estos laboratorios se presentan como una solución eficaz para mejorar la calidad educativa, adaptándose a las demandas tecnológicas actuales. Poco a poco, la UANL ha buscado integrar estas herramientas dentro de su estrategia de innovación educativa, impulsando un modelo más interactivo y colaborativo que prepara a los estudiantes para los retos del futuro.
Effect of Different Cascara Tea Formulas on the Addition of Dayak Onion and Stevia
Authors: Harahap Risda Munarti Rusdy , Kasim Anwar , Kasim Fitriani
Published: January 2025

Formulation in making tea is necessary to produce quality products with a distinctive taste and optimal health benefits. Cascara is a dried tea product produced from coffee skin waste. It has been reported to have potential as a natural antioxidant because it contains secondary metabolite compounds such as polyphenols. Dayak onion bulbs are reported to contain flavonoids that are useful for preventing and alleviating complaints due to degenerative diseases such as hypertension and controlling blood sugar levels. Stevia is a plant known as sugar leaves or non-calorie natural sweeteners whose dried leaves have 30 times the sweetness of sucrose. The purpose of this study was to combine coffee fruit skin (cascara), Dayak onion, and stevia in herbal tea formulations to explore health potential and see the effect of differences in cascara, dayak onion, and stevia tea formulations on pH values, moisture content, and ash content according to the Indonesian National Standard (SNI). This study used a Factorial Completely Randomized Design (CRD). The results of this study indicate that the moisture content of herbal tea bags ranges from 9.05%-11.48%, with certain formulations (C, D, E, and F) meeting SNI standards. The ash content of herbal tea bags ranges from 3.58%-7.35%, reflecting the mineral content, with higher stevia concentrations correlating with increased ash content. The pH value of the brewed herbal tea ranges from 4.34-5.12, indicating that higher concentrations of Dayak onion produce higher pH values while increasing stevia concentrations lower pH.
Contribution to Sustainable Development Goals (SDGs):SDG 3: Good Health and Well-beingSDG 9: Industry, Innovation, and InfrastructureSDG 12: Responsible Consumption and ProductionSDG 15: Life on Land
EXPLORANDO O POTENCIAL DAS MÍDIAS DIGITAIS: UMA ANÁLISE ABRANGENTE NO CONTEXTO DA ALFABETIZAÇÃO, CULTURA, LETRAMENTO CRÍTICO E APRENDIZADO DE LÍNGUAS
Authors: SANTOS ZILDA PEREIRA DOS
Published: January 2025

RESUMO
Buscou-se aqui estudar o uso e impacto das mídias digitais na educação, abordando os aspectos de alfabetização, cultura, letramento crítico e aprendizado de línguas. Por consequência, o principal objetivo deste artigo foi investigar de forma abrangente o papel e a influência das mídias digitais no contexto educacional, explorando suas potenciais contribuições nos domínios da alfabetização, cultura, letramento crítico e aprendizado de línguas. A pesquisa visou identificar práticas, estratégias e abordagens que aproveitaram as mídias digitais de maneira eficaz e significativa, fornecendo insights para educadores, pesquisadores e formuladores de políticas educacionais. Para tanto, realizou-se um ensaio que buscou entender os pormenores básicos dessa problemática. Resumidamente, as mídias digitais possuem o potencial de transformar a educação, tornando-a mais acessível, envolvente e adaptada às necessidades pessoais. Quando empregadas com estratégia e alinhadas aos objetivos educativos, podiam promover uma abordagem abrangente e eficaz para a alfabetização, o enriquecimento cultural, o desenvolvimento de habilidades críticas e a aprendizagem de línguas. Isso preparava os alunos para enfrentar os desafios de um mundo cada vez mais digital e globalizado.
Agentic AI in autonomous financial advisories
Authors: Gaurav Samdani  , Yawal Dixit  , Ganesh Viswanathan
Published: January 2025

Agentic AI strengthens financial technology by letting autonomous financial advisories use flexible systems to block and control their procedures. The new financial products deliver specific customer solutions in real-time, which make users' financial decisions better informed. Our study examines today's beneficial uses, development methods, and essential results of agentic AI technology in financial advising. Research studies look at current systems plus conduct real-world studies to show how agentic AI fares compared to usual technology. The research examines all the main ethical, security, legal, and system challenges the industry faces today. Our study demonstrates that agentic AI offers efficient ways to deliver financial advice while making services scalable and ethical. The findings demonstrate how agentic AI systems will help make money basics easier to understand and reach a wider set of people within the financial system. This essential research output builds the base for more development of agentic AI systems and recommends useful future study directions.
Comparison of Illinois Agility Test Results Between Normal and Overweight Body Mass Index in Basketball Extracurricular Members at SMAN 3 Surabaya
Authors: Devi Arianti  , Melya Rossa  , Dany Pramuno Putra  , Ditaruni Asrina Utami  , Ahmad Riyono  , Fransiskalina Erfarenata  , Maulana Taufikul Hakim
Published: January 2025

Background: One of the essential components in basketball is agility, both in offense and defense. Basketball players are required to master and carry the ball to the opponent's area using techniques quickly. One of the factors that influence a basketball player's performance is an ideal body, which can be measured by Body Mass Index (BMI). According to a study, excess BMI can affect body movement and flexibility by 9.15%. The Illinois Agility Test involves movements such as turning, zig-zagging, and sprinting around six cones arranged in a "T" shape.
Purpose: This study aims to compare the results of the Illinois Agility Test between normal and overweight BMI in basketball extracurricular members at SMAN 3 Surabaya.
Materials and Methods: This research is a comparative non-experimental study, with subjects being members of the basketball extracurricular at SMAN 3 Surabaya. The measurement tools used in this study are the Illinois Agility Test for agility and Body Mass Index (BMI). Data analysis was conducted using IBM SPSS Statistics 23, where the normality test used was Shapiro-Wilk, the homogeneity test was Levene's Test for Equality of Variances, and the hypothesis test was Independent Sample T-Test.
Results: The normality test results showed p > 0.05, indicating that the data in this study were normally distributed. The homogeneity test showed p > 0.05, indicating that the data were homogeneous. The Independent Sample T-Test results showed a p-value of 0.002 (p < 0.05), indicating a significant difference between the Illinois Agility Test results of those with normal BMI and those with overweight BMI.
Conclusion: There is a significant difference in the Illinois Agility Test results between individuals with normal BMI and those with overweight BMI.
Ethical considerations in AI design and deployment
Authors: Sameerkumar Babubhai Prajapati
Published: January 2025

The more artificial intelligence (AI) becomes part of industries and societies, the more it has become necessary to think about ethics for its design and deployment. The purpose of this white paper is to explore the key ethical challenges of AI systems and data-centric ontology models with which decisions are made, as well as opportunities for realigning the development of AI with human values. Algorithms involved in making decisions in different settings are discussed, as well as ethical concerns such as algorithmic bias, transparency, privacy and accountability, as well as how improper use of AI can harm fairness, human autonomy and trust in automated systems.

The paper then explores important challenges including AI paradoxes in consumer markets where AI systems increase as well as exploit consumers and the ethically problematic questions arising from use of AI in business decisions most notably in the financial sector. We will also analyze how these ethical concerns play out in real world use cases in the practical industry starting from AI applications related to customer service, healthcare etc. and financial services.

The paper also shares actionable best practices for the ethical development and deployment of AI. There’s implementing fairness-aware algorithms, increasing the degree of transparency in the decision-making process, and having regulators help guide the responsible adoption of AI. The aim of this exploration is to provide actionable insights to practitioners, researchers and policymakers on developing an ethical roadmap for AI with a goal of maximizing its benefits and mitigating its risks
Transforming US banking: Leveraging AI-powered technology compliance platform (TCP) for regulatory excellence
Authors: Veera Venkata Ramana Murthy Bokka
Published: January 2025

As artificial intelligence (AI) helps to adopt in technology compliance platforms (TCP), the banking industry can be transformed to be more efficient, scalable and cost effective. In this study, we integrate AI in compliance to delve into its great benefits like automating the routine tasks, taking real time inputs from quantum of infinite amount of data and reduce the operational cost. Financial regulations, as they provide new rules and reliance on addressable data continuously increase in complexity, also provide tremendous scalability possibility to AI systems. Yet the research flags some problems facing the company, including the risk for bias in decision making, as well as an imperative for ethical and regulatory oversight to make sure that decisions are transparent and fair. Since these findings imply that AI driven compliance platforms can enormously enhance the efficacy of regulatory frameworks, they also stress the need to deal with ethical issues and to adapt the capacity of AI systems. Future research of strategies to mitigate algorithmic bias, types of cost effective solutions for smaller institutions, and ways to make AI systems more adaptable to the changing regulations as well as guidelines to make AI more ethical when deployed are recommended. Finally, research priorities outlined in this study will be hugely important when it comes to maximizing the use of AI-based tools in the banking sector to achieve regulatory excellence and to empower the sector to respond to growing demands for compliance.
Pelatihan Hidroponik dalam Upaya Peningkatan Kemandirian ADL Instrumental ODGJ di RSJ Menur Surabaya
Authors: Widiyawati Wiwik , Suminar Ervi , Krisnawati Dyah Ika , Khafid Muhamad , Widodo Widodo
Published: January 2025

ODGJ kehilangan fungsi ADL dasar dan instrumental, rehabilitasi sosial yang dilakukan belum cukup untuk mengembalikan keterampilan instrumental ADL ODGJ, karena berbagai keterampilan yang diberikan di rumah masih kurang optimal dan keterampilan pasien pasca rehabilitasi juga kurang optimal. Oleh karena itu, tim memutuskan untuk melaksanakan kegiatan pelatihan bagi tenaga rehabilitasi di Rumah Sakit Jiwa Menur guna meningkatkan pengetahuan dan keterampilan mengenai  pelatihan Hidroponik yang dapat diberikan dalam kegiatan rehabilitasi sosial. Pelaksanaan Pelatihan berlangsung pada bulan Juli hingga Agustus 2024 di Rumah Sakit Jiwa Menur. Pelatihan dilaksanakan dalam tiga tahap kegiatan, yaitu pelatihan hidroponik, praktik hidroponik bagi tenaga kesehatan, dan pelatihan hidroponik dari tenaga kesehatan kepada pasien. Evaluasi pelaksanaan dilakukan dalam tiga tahap: evaluasi struktural, evaluasi proses, dan evaluasi hasil. Hasil evaluasi kegiatan terkait struktur menunjukkan koordinasi antara tim pelaksana dan mitra sangat baik, evaluasi proses sangat baik, tingkat kehadiran mencapai 90%, dan evaluasi hasil juga sangat baik. Pelaksanaan pelatihan Tahap 1 (hidroponik) berjalan dengan baik, hasil evaluasi struktural menunjukkan bahwa kegiatan terkoordinasi dan terlaksana dengan baik, dan evaluasi proses menunjukkan partisipasi peserta lebih dari 80% dan hasilnya sangat baik. Hasil evaluasi menunjukkan bahwa pengetahuan dan keterampilan peserta dalam pelatihan hidroponik meningkat dan pelatihan berjalan efektif dan sukses. Seluruh evaluasi kinerja kegiatan menunjukkan hasil yang baik, namun perlu dilakukan evaluasi secara berkala terhadap hasil pelaksanaan pelatihan pasien ODGJ di ruang rehabilitasi agar pelaksanaan rehabilitasi pasien ODGJ dapat dilakukan secara maksimal.
Predictors of Mortality in Gram-Negative Bloodstream İnfections
Authors: Tatlı Kış Tuba , Yıldırım Süleyman
Published: January 2025

Purpose: Bloodstream infection (BSI) is the most common healthcare-associated infection in intensive care units (ICUs) and is associated with high mortality rates. In this study, we aimed to evaluate the etiological pathogens and susceptibility distribution and factors affecting mortality in patients followed up in the ICU with the diagnosis of healthcare-associated gram-negative BSI.

Material and Methods: This study was designed as a retrospective cohort study. Patients diagnosed with healthcare-associated BSI during ICU follow-up were included in the study. Patients demographic data, source of BSI, causative microorganisms and their antimicrobial susceptibility and mortality (any cause) rates were collected retrospectively from patient files and patient information sheets. Patients were divided into survival and non- survival groups according to the prognosis and differences in clinical data between the two groups were compared.

Results: The study included 162 patients with gram-negative BSI, of whom 85 (52.5%) died during their ICU stay. The three most common pathogens detected in patients were; Klebsiella pneumoniae [60/162(37%)], Acinetobacter baumannii [32/162(19.75%)] and Stenotrophomonas maltophilia [25/162(15.43%)]. The highest carbapenem resistance rates belonged to A. baumannii and K. pneumoniae with 93.75% and 81.66%, respectively. Multivariate logistic regression analysis identified, patients requiring invasive mechanical ventilation (IMV) had over three times the odds of death (OR: 3.10, 95% CI: 1.23–7.80, P = 0.016). Septic shock was associated with a nearly threefold increased risk of mortality (OR: 2.78, 95% CI: 1.29–6.00, P = 0.009), and continuous renal replacement therapy also significantly increased mortality risk (OR: 2.52, 95% CI: 1.11–5.71, P = 0.026).

Conclusion: : IMV, septic shock, and the need for CRRT during ICU follow-up are risk factors for mortality in gram-negative BSI patients followed in the ICU. Among the etiologic pathogens, the highest resistance rates were found in A. baumannii and K. pneumoniae, respectively.
Сравнительное исследование компонентного состава эфирного масла травы видов рода тысячелистник
Authors: Куркин Владимир Александрович , Васькова Анастасия Игоревна , Рязанова Татьяна Константиновна
Published: January 2025

Проведено сравнительное исследование компонентного состава эфирного масла травы тысячелистника обыкновенного (Achillea millefolium L.), тысячелистника хрящеватого (Achillea cartilaginea Ledeb. ex Rchb.) и тысячелистника благородного (Achillea nobilis L.) методами газовой хромато-масс-спектрометрии и спектрофотометрии. С использованием газовой хромато-масс-спектрометрии определено, что образцы эфирных масел травы исследуемых видов рода Тысячелистник характеризуется высоким содержанием моно- и бициклических монотерпенов, среди которых общими компонентами являются эвкалиптол (цинеол), кариофиллен оксид, β-пинен, α-терпинеол, 4-терпинеол, γ-терпинен, камфен и β-кубенен. Однако принципиальным отличием эфирных масел является уровень содержания хамазулена: в тысячелистнике обыкновенном — 7,53 %, в тысячелистнике хрящеватом — 0,22 %, а в тысячелистнике благородном отсутствует. Определено также, что содержание проазуленов в траве тысячелистника обыкновенного значительно выше по сравнению с таковым тысячелистника хрящеватого и тысячелистника благородного (0,0411, 0,0012 и 0,0015 % соответственно), хотя при этом нефармакопейные виды тысячелистника отличаются более высоким содержанием эфирного масла. Следовательно, результаты проведенных исследований свидетельствуют о целесообразности стандартизации травы тысячелистника обыкновенного не только по содержанию эфирного масла и сумме флавоноидов, но и по содержанию проазуленов, обусловливающих противовоспалительные свойства препаратов данного сырья.
Application of innovative technology for stress-free breeding of piglets: scientific and practical recommendations
Authors: Voloshchuk V. , Ivanov V. , Onishchenko A. , Zasukha L. , Conks T.
Published: January 2025

Promising innovative equipment for keeping suckling sows, suckling piglets and weaned piglets has been developed, which is intended for use under the conditions of two-phase technology. Unification of machine elements provides conditions for stress-free union of nests and maintenance and feeding of piglets after weaning and formation of new groups for rearing. Growing young pigs in machines for dry type of feeding (SP-4FS) and combined type of feeding (SP-4FK), compared to OSM-60 under the conditions of two-phase technology, provides better ethological comfort, contributes to increasing the growth energy and preservation of young pigs. Volumetric and planning solutions of an innovative automated piggery were developed for kee­ping 224 suckling sows with piglets and raising them up to 90 days of age with an air purification station that meets modern environmental requirements.
The recommendations are intended for chief specialists, farm technologists in the pig industry, teachers and students of the biotechnological faculty of colleges and higher education institutions