bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced Aero Engine Components Manufacturing through Predictive Models for Cupronickel Machining
Authors: Pasupuleti Thejasree , Natarajan Manikandan , Ramesh Naik Mude , Kiruthika Jothi , Silambarasan R
Published: February 2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, regardless of their level of hardness. Due to the growing demand for superior products and the necessity for quick design changes, decision-making in the manufacturing industry has become increasingly intricate. The preliminary intention of this work is to concentrate on Cupronickel and suggest the creation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) model for the purpose of predictive modeling in ECM. The study employs a Taguchi-grey relational analysis (GRA) methodology to attain multi-objective optimization, with the target of maximizing material removal rate, minimizing surface roughness, and simultaneously achieving precise geometric tolerances. The ANFIS model suggested for Cupronickel provides more flexibility, efficiency, and accuracy compared to conventional approaches, allowing for enhanced monitoring and control in ECM operations. Moreover, the study investigates the use of Cupronickel in automotive applications, emphasizing its crucial function in industries that demand resilient materials in harsh settings. The experimental validation has confirmed a strong correlation between the projected results and the actual performance, hence confirming the effectiveness of the ANFIS-based strategy.
Data-Driven Optimization of Titanium Grade 7 Machining for Automotive Applications
Authors: Natarajan Manikandan , Pasupuleti Thejasree , Kumar V , Krishnamachary PC , Somsole Lakshmi Narayana , Silambarasan R
Published: February 2025

Electrochemical machining (ECM) is a highly efficient method for creating intricate structures in materials that conduct electricity, irrespective of their level of hardness. With the rising demand for superior products and the necessity for quick design modifications, decision-making in the industrial sector becomes increasingly complex. This study specifically examines Titanium Grade 7 and suggests creating prediction models through regression analysis to estimate performance measurements in ECM. The experiments are formulated based on Taguchi's ideas, utilizing a multiple regression approach to deduce mathematical equations. The Taguchi method is utilized for single-objective optimization in order to determine the ideal combination of process parameters that will maximize the material removal rate. ANOVA is a statistical method used to determine the relevance of process factors that affect performance measures. The suggested prediction technique for Titanium Grade 7 exhibits superior flexibility, efficiency, and accuracy in comparison to current models, providing expanded monitoring capabilities. The validated models demonstrate a robust link between empirical data and projected results. This study investigates the potential uses of Titanium Grade 7 in the automotive industry, highlighting its importance in sectors that need strong materials for challenging conditions.
Fabrication and Analysis of Pneumatically Actuated Soft Robotic Gripper with Negative Pressure
Authors: Warriar J S Sreejith , Sadique Anwar , George Boby
Published: February 2025

Soft-bending actuators are gaining considerable attention in robotics for handling delicate objects and adapting to complex shapes, making them ideal for biomimetic robots. Soft pneumatic actuators (SPAs) are preferred in soft robotics because to their safety and compliance characteristics. Using negative pressure for actuation, it enhances stability by reducing the risk of sudden or unintended movements, crucial for delicate handling and consistent performance. Negative pressure actuation is more energy-efficient, safe and are less prone to leakage, increasing reliability and durability. This paper involves development of a new soft pneumatic actuator design by comparing various designs and to determine its performance parameters. This paper depicts on designing, and fabricating flexible soft pneumatic actuators working under negative pressure for soft robotic applications. The material used for fabrication was liquid silicone rubber and uniaxial tensile tests were conducted to characterise the properties of materials used to fabricate the soft actuator. The design process begins with conceptualizing the gripper's geometry and layout, considering factors such as material properties, actuation mechanisms etc. Finite element analysis is then employed to evaluate the performance and behavior of the gripper under different loading conditions in negative pressure. Moulds were manufactured using rapid prototyping machine for manufacturing soft pneumatic actuators. Experimental studies were conducted and compared with simulation results.
Optimization of WEDM Parameters for Invar 36 Automotive Components Using Taguchi-Grey Relational Analysis
Authors: Natarajan Manikandan , Pasupuleti Thejasree , Kumar V , Sagaya Raj Gnana , Krishnamachary PC , Silambarasan R
Published: February 2025

Wire Electrical Discharge Machining (WEDM) is a sophisticated machining technique that offers significant advantages for processing materials with elevated hardness and complex geometries. Invar 36, a nickel-iron alloy characterized by a reduced coefficient of thermal expansion, is extensively used in the aerospace, automotive, and electronic sectors due to its superior dimensional stability across a wide temperature range. The primary goals are to improve machining settings and develop regression models that can precisely forecast important performance metrics. Experimental trials were conducted using a WEDM system to mill Invar 36 under several machining parameters, including pulse-on time, pulse-off time, and current setting percentage (%). The machining performance was assessed by quantifying the material removal rate (MRR) and surface roughness (Ra). The design of experiments (DOE) methodology was used to systematically explore the parameter space and identify the optimal machining settings. Regression models were developed using statistical methods to validate the relationship between independent variables and output metrics, allowing precise predictions of machining performance. This work improves the understanding of WEDM of Invar 36 material and provides significant insights into the influence of machining settings on process outcomes. The empirical connection established serves as a valuable instrument for optimizing WEDM factors, enhancing machining efficacy, and maintaining the desired surface quality in Invar 36 components. This study advocates for the implementation of WEDM as an effective manufacturing technique for Invar 36-based applications, hence advancing precision engineering and materials processing.
Performance Forecasting in Nickel Alloy Machining: A Study for Aerospace Engineering Applications
Authors: Natarajan Manikandan , Pasupuleti Thejasree , Sagaya Raj Gnana , Silambarasan R , Kiruthika Jothi
Published: February 2025

The process of electrochemical machining, often known as ECM, is capable of effectively shaping complicated structures in materials that conduct electricity, independent of the materials' level of hardness hence especially used for automobile and aerospace applications. As a result of the demand for high-quality products and the desire for rapid design changes, the manner in which decisions are made in the manufacturing industry has become increasingly contentious. With the assistance of regression analysis, this study proposes the development of predictive models for the purpose of forecasting the performance measures in electrochemical machining of Nimonic alloy. The trials are designed in accordance with Taguchi's principles, and a multiple regression model is utilized in order to derive the mathematical equations. Taguchi's method can be applied as a methodology for single objective optimization in order to attain the most optimal combination of process parameters for the purpose of optimizing the rate at which material is removed. For the purpose of determining the importance of process factors that have an effect on the performance measures, analysis of variance (ANOVA) is utilized. When compared to the models that are now in use, the technique that has been provided for predicting the intended performance measures is not only more flexible, proficient, and exact, but it also provides enhanced monitoring capabilities. In the end, the revised models are then checked for accuracy. There is a good correlation between the experimental data and the expected outcomes, which are formed from the models that have been formulated.
Optimization and Regression Modeling of Fused Deposition Modeling for PLA Material for Vehicle Interior Applications
Authors: Natarajan Manikandan , Pasupuleti Thejasree , C Navya , Kiruthika Jothi , Silambarasan R
Published: February 2025

Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has revolutionized the manufacturing sector by enabling the production of complex geometries using various materials. Polylactic Acid (PLA) is a biodegradable thermoplastic often used in additive manufacturing (AM) because to its eco-friendliness, cost-effectiveness, and processing simplicity. This research seeks to enhance the parameters of Fused Deposition Modeling (FDM) for PLA material with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methodology. The researchers conducted experimental trials to investigate the influence of key FDM parameters, including layer thickness, infill density, printing speed, and nozzle temperature, on essential outcomes such as dimensional accuracy, surface quality, and mechanical qualities. The design of experiments (DOE) technique facilitated a systematic investigation of parameters. The TOPSIS method, a decision-making tool based on several criteria, was used to assess the trial data and identify the optimal parameter values. TOPSIS offers a thorough approach for improving parameters in FDM by considering both proximity to the ideal solution and distance from the negative ideal solution. The findings revealed the effectiveness of the TOPSIS technique in identifying the optimal parameter combinations for enhancing the printing quality and efficiency of PLA components. The proposed optimization framework provides significant insights into the optimization and control of processes, hence promoting the broader use of FDM technology across many sectors. This work improves the understanding of Fused Deposition Modeling (FDM) for Polylactic Acid (PLA) and offers effective methods for improving FDM settings. Manufacturers may enhance printing productivity, quality, and sustainability via the use of the TOPSIS methodology. This will subsequently facilitate the broader use of additive manufacturing technologies across many applications.
A Simulation Methodology for Rainwater Ingress into Vehicle HVAC Cowl Box with Design Improvement
Authors: Baskar Subramaniyan , A Boopalshanmugam , Raju Kumar
Published: February 2025

The main design objectives to be achieved in the design of HVAC cowl box includes minimizing the pressure drop and eliminating the chances of water ingress in HVAC. There are CFD tools available to study the cowl box pressure drop. However, methods available to study rain water ingress in HVAC are expensive in both mesh preparation and computational time. Using SPH (Smooth Particle based Hydrodynamics) based Preonlab tool, an attempt has been made in this work to study the design improvements of HVAC cowl box to eliminate the chances of flooding during raining. ANSYS FLUENT tool used to study the pressure drop of each design. The simulation aims to investigate the pressure drop in the cowl box and the amount of water intrusion into the HVAC module. L9 orthogonal array (factorial study) conducted to study the factors influencing the cowl box pressure drop. Inlet area, drain area and outlet area are the factors considered. Designs with segregated airflow path (adding inner duct) in the cowl box eliminated the chances of water ingress. However, because the flow path is obstructed, the pressure drop increased. A new methodology is proposed in the design of cowl box with due consideration of air side pressure drop and water ingress. The current methodology offers valuable insights into design.
Forced Vibration Analysis of Cracked Functionally Graded Beams
Authors: D Manish , C V Prasshanth , N Suhas , Bhaskara Rao Lokavarapu
Published: February 2025

This study investigates the forced vibration characteristics of a functionally graded material (FGM) beam possessing a square cross-section and featuring a V-shaped crack. The FGM beam exhibits a gradual transition in mechanical composition from a ceramic to a metallic surface. Employing finite element analysis software, a comprehensive numerical analysis is conducted to evaluate the frequencies and mode shapes of the cracked FGM beam under simply supported boundary conditions. The study meticulously explores the effects of various crack parameters, including crack opening width, depth, and location. The findings highlight the significant influence of the crack opening width on the frequencies, indicating that wider cracks result in decreased frequencies across all mode shapes. Conversely, the impact of crack depth and location on the dynamic behavior of the cracked FGM beam within the studied ranges appears relatively minor. These insights offer valuable perspectives into the vibrational characteristics of cracked FGM beams, which can contribute to structural health monitoring and allow optimizing their design. In automotive applications, these insights aid in the development of more resilient vehicle components and improving the overall durability and reliability of automotive structures.
Thermal Buckling Analysis of Axially Layered Aluminium Silicon Nitride Functionally Graded Thin Beam using Taguchi Method
Authors: Pawale Deepak , Bhaskara Rao Lokavarapu
Published: February 2025

This research examines the thermal instability of slender beams composed of functionally graded materials (FGMs), with a specific focus on their suitability for engine hood components. The FGM combines the durability of aluminum with the heat tolerance of silicon nitride. The study aims to determine the maximum temperature the beam can withstand without buckling under various support conditions, simulating the uneven heat distribution experienced by engine hoods in actual use. The FGM structure comprises four longitudinally arranged layers, where the ceramic and metallic components gradually shift across the thickness. Finite element modeling software (ANSYS) is utilized to examine the buckling response under diverse temperature conditions. To enhance the thermal performance of the engine hood panel, the Taguchi L9 orthogonal array methodology is employed utilizing Minitab 19 software. The first four layers of the FGM beam are defined as process variables, while the critical buckling temperature is designated as the output variable. The material composition of each layer is adjusted across three levels to assess its impact on the hood panel's resistance to thermal strain. The Signal-to-Noise (S/N) ratio is employed to determine the ideal configuration for achieving the highest possible critical buckling temperature. This investigation also uncovers the influence of ceramic and metallic composition on the behavior of each layer, enabling the creation of an FGM hood panel that offers superior heat resistance and structural robustness. Additionally, an Analysis of Variance (ANOVA) is performed with a 95% confidence interval to identify the layer with the most substantial impact on the critical buckling temperature and quantify its relative influence. This information is essential for customizing the FGM composition to target areas of the hood panel exposed to the highest thermal loads, like the region directly above the engine. Finally, utilizing the 95% confidence interval derived from the confirmatory analysis and population statistics, the ideal maximum temperature before buckling for the FGM engine hood component is projected. This investigation yields significant knowledge for the development of lightweight, thermally resilient FGM engine hood structures. By refining the material composition of each layer, designers can produce engine hoods with superior resistance to heat-induced warping, potentially resulting in improved vehicle safety and functionality.
Innovative Design and Multi-Parametric Computational Investigations on the Propulsive System of a Pentacopter Unmanned Aerial Vehicle
Authors: Veeraperumal Senthil Nathan Janani Priyadharshini , Arumugam Manikandan , Rajendran Mahendran , Solaiappan Senthil Kumar , Kulandaiyappan Naveen Kumar , Madasamy Senthil Kumar , Stanislaus Arputharaj Beena , L Natrayan , Raja Vijayanandh
Published: February 2025

This work focuses on the design and multi-parametric analysis of a designed propeller for a Pentacopter unmanned aerial vehicle (UAV). The basic and secondary design inputs, along with performance data like propeller diameter, pitch angle, chord length, and lift coefficient, are established using a standard analytical method. Approximately ten distinct airfoils, specifically NACA 2412, NACA 4109, NACA 4312, NACA 4409, NACA 4415, NACA 5317, NACA 6409, NACA 6412, NACA 23024, and NACA 25012, are evaluated over 13 Reynolds Numbers with the angle of attacks (AOA) of 20, varying from -5 to 15 degrees, for the purpose of detailed propeller design. The lift and drag coefficient values for ten distinct airfoils, utilizing a Reynolds number of 13 and 20 angles of attack, are obtained from the XFOIL software. Three sophisticated airfoils are selected from a pool of ten based on their high Lift-to-Drag (L/D) ratio performance. The selected airfoils with a high L/D ratio are NACA 6409, NACA 4109, and NACA 4312. The shortlisted three airfoil-based propellers are designed using a sophisticated modelling tool, i.e., 3D EXPERIENCE. The fourth modelled propeller is designated as the Hybrid propeller, which integrates three airfoils and three propellers, utilizing just NACA 6409, NACA 4109, and NACA 4312 airfoils, respectively. In ANSYS R2 2023 software, the four propellers are examined using a single moving reference frame approach, which facilitates an efficient simulation for the rotating frame in computational fluid dynamics by establishing appropriate boundary conditions. The analysis is conducted using fluid-structure interaction simulations involving carbon fiber reinforced polymer (CFRP), Boron fiber reinforced polymer (BFRP), Kevlar fiber reinforced polymer (KFRP) and glass fiber reinforced polymer (GFRP) materials. Eight distinct materials are evaluated, including BFRP, HMS-CFRP, AS-CFRP, S-GFRP, E-GFRP, GY-70-CFRP, K-49-UD-FRP, and T-300-CFRP. The Hybrid propeller emerges as the optimal performer, particularly when combined with GY-70-CFRP, in terms of minimized total deformation under high loads. The selected propeller is distinguished by reduced torque, which correlates with diminished power consumption during operation, whereas all other propellers display comparable performance metrics concerning the applications relevant to the Pentacopter UAV.
Advanced Driver Assistance Systems for Driver Health and Fatigue Monitoring Using Camera, Biometric Sensors, Telematics and Machine Learning
Authors: Bhargav Matavalam
Published: February 2025

Automotive industries focus on driver safety leading to raising improvements and advancements in Advanced Driver Assistance Systems (ADAS) to avoid collisions and provide safety and comfort to the drivers. This paper proposes a novel approach toward Driver health and fatigue monitoring systems that uses cabin cameras and biometric sensors communicating continuously with vehicle telematics systems to enhance real-time monitoring and predictive intervention. The data from the camera and biometric sensors is sent to the machine learning algorithm (LSBoost) which processes the data and if anything is wrong concerning the driver's behavior then immediately it communicates with vehicle telematics and sends information to the emergency services. This approach enhances driver safety and reduces accidents caused due to health-related driver impairment. This system comprises several sensors and fusion algorithms are applied between different sensors like cabin camera and biometric sensors, all these sensors are placed inside the driver compartment without disturbing the driver's comfort and functionality. The input from all these sensors is feed to a centralized processing unit, where advanced sensor fusion technology and machine learning algorithms are used for processing the raw data information. Especially selective machine learning models are used to detect patterns indicative of driver behavior such as drowsiness, fatigue, etc. The alerts will initially notify the driver. If the driver doesn’t respond, the alerts will then be forwarded to the vehicle’s telematics system, which in turn will notify emergency services like ambulance, or designated contacts.

This paper presents the architecture of the driver health monitoring system and the effectiveness of the proposed system is validated to the simulated model in the MATLAB environment showcasing its potential and ability to significantly enhance driver safety.
Performance Analysis of Conventional Two Wheeler versus Plug in Hybrid Electric Two Wheeler for Light Goods Transportation
Authors: Kumar V. Sudhir , R Balamurugan , Pasupuleti Thejasree , Natarajan Manikandan
Published: February 2025

The study investigates the performance of conventional two-wheelers versus Plug-in Hybrid Electric Vehicle (PHEV) two-wheelers in the context of light goods transportation. With growing environmental concerns and the push towards sustainable transportation solutions, the study focuses on understanding the effects of using electric or hybrid electric vehicles for small-capacity load carrying applications, in terms of parameters such as mileage, pollution, and range. A simulation model was created in MATLAB, where the various vehicle parameters can be changed and their effect on vehicle performance such as SOC, motor power, motor speed, vs input velocity can be studied. Similar tests were conducted in the real world and the results obtained were compared with simulation results. Results indicate that PHEV two-wheelers significantly reduce emissions and fuel consumption, while maintaining comparable performance in terms of speed and load capacity. However, the initial investment and infrastructure requirements for PHEV two-wheelers pose challenges. The study concludes that, while PHEV two-wheelers offer substantial environmental and operational benefits, strategic planning and investment are crucial for their widespread adoption in the light goods sector.
Crash Performance Study on High-Speed Electric Two-Wheeler Battery Enclosure
Authors: Venkatesan Sr Aiyappan , Nelson N Rino , Hariharan Nair Adarsh
Published: February 2025

The usage of Electric Vehicles (EVs) and the annual production rate have increased significantly over the years. This is due to the development of rechargeable electrical energy storage system (battery pack), which is the main power source for EVs. Lithium-ion batteries (LIBs) pack is predominantly used across all major vehicle categories such as 2-wheelers, 3-wheelers and light commercial vehicle. LIB is one of the high energy-dense sources of volume. However, LIBs have a challenge to pose a risk of short circuits and battery pack explosions, when exposed to damage scenarios. In the present study, the controlled crash analysis is performed for various velocities ranging from 50 kmph to 72 kmph against an obstruction directly and at an offset from the wheel, so as to mimic the real-world crash of high-speed two-wheelers. The behavior of the battery enclosure is examined through evaluating the structural integrity of the battery enclosure used in a realistic two-wheeler after crash at various colliding velocities. The study focuses on analyzing the battery enclosure for structural deformation in mild steel and comparing with a light-weight composite material. The energy absorption behavior of the enclosure is investigated through impact simulation. Mild steel is the commonly used material for battery enclosure in EVs. Strategically the design of battery enclosure for EVs can be improved by knowing the influence of materials on weight and crashworthiness. By decreasing weight and increasing the efficiency, this optimization not only enhances overall safety, but also improves the vehicle performance. As the electric vehicle landscape evolves, these findings become instrumental in shaping safer, efficient, and high-performing EVs. The results indicate that carbon fiber based composites are better compared to mild steel based on the structural integrity.
Chanter le cercle de vie, conter le cycle saisonnier : Camille Lemonnier et ses Noëls flamands (1887)
Authors: Kocik Agnieszka
Published: February 2025

The aim of the paper is to analyse the tales in the Christmas-themed pieces by Camille Lemonnier (Flemish Christmas Carols, 1887) from the point of view of the poetics of change, recurrence and circularity, actualised, in this case, in ways of inhabiting festival and/or winter space-time. This idea corroborates the data of primary importance in Lemonnier’s literary project of Christmas carols (noëls). Namely, the intimate and familiar aspect of Flanders with its cheerful rusticity, and of the Flemings with their tender, somewhat naive spirit, but very powerful in its reassuring simplicity. In addition to the issues raised above, the paper seeks to clarify the status of stories from the literary genre of noëls in Lemonnier’s literary creation, which combines “intimacy” and “colour” with “naturalism” and Belgian “modernity”.
L’existentialisme athée français du XXe siècle et la philosophie postmoderne
Authors: Wojciechowska-Czajka Magdalena
Published: February 2025

The purpose of this article is to juxtapose the philosophy of Sartre as well as other French atheist existentialists of the twentieth century, especially that of Beauvoir, and the postmodern one. We aim at demonstrating the relevance of the existentialist paradigm in the contemporary philosophico-literary panorama. By exploring the paths proposed by postmodern philosophers, including Nik Farell Fox or Markus Gabriel, we will examine the extent to which an approach constituted by the juxtaposition of two methodologies: the existentialist and the poststructuralist one, allows to explore the issues raised in postmodern literary fiction, particularly the novel.
Genocid: od definiranja do presude za Srebrenicu / Genocide: From Definition to Verdict for Srebrenica
Authors: Džananović Muamer
Published: February 2025

The paper provides a brief analysis of the crime of genocide through historical and legal contexts, emphasizing that the twentieth century is often referred to as the “century of genocide” due to the numerous mass atrocities committed. The paper relies on the legal definition of genocide and the efforts of Raphael Lemkin that led to the adoption of the 1948 Convention on the Prevention and Punishment of the Crime of Genocide. Among other things, we explore the complexity of proving genocidal intent, examine the role of ideology in the execution of genocide, and highlight the challenges in classifying crimes as genocide. Despite international efforts to prevent and punish perpetrators of genocide, crimes with elements of genocide continued throughout the 20th and 21st centuries, as illustrated by the example of the genocide in Bosnia and Herzegovina. The paper pays special attention to the chronology of the genocide in and around Srebrenica in July 1995 as an example of genocidal intent and execution. It also points out the ongoing denial of the adjudicated genocide in Srebrenica and its consequences for Bosnian society and the state.
HEALTH RISK ASSESSMENT OF LEAD IN DAIRY PRODUCTS FROM VARIOUS ENVIRONMENTS IN EGYPT
Authors: ABOU DONIA Mahmoud , Abou-Arab Assem , ENB Ali
Published: February 2025

Milk and dairy products are nutritious foods that are beneficial to human health at all life stages and provide essential nutrients required by the body. However, despite their importance, these products are susceptible to contamination by toxic environmental pollutants, such as lead (Pb), originating from surrounding environmental sources. This study aimed to evaluate the potential health risks associated with Pb exposure in adults and children through the consumption of contaminated milk and dairy products from various locations in Egypt using estimated daily intake, target hazard quotient, and excess cancer risk metrics. The data indicated that the daily intake (DI) of Pb in the raw milk samples ranged from 131.6 to 557.9 µg in industrial areas, 107.7 to 456.6 µg in traffic areas, and 35.8 to 151.7 µg in rural areas. In contrast, the DI of Pb in sterilised milk ranged from 19.3 to 82.0 µg in industrial areas, 17.9 to 75.7 µg in traffic areas, and 16.0 to 67.8 µg in rural areas. For processed cheese, values ranging from 2.0 to 2.4, 2.5 to 2.9, and 2.4 to 2.8 µg were found across these areas, respectively. The mean DI values of Pb were 70.1, 59.7, and 11.5 µg for Domiati cheese samples and 112.2, 103.7, and 481.6 µg for Ras cheese from industrial, traffic, and rural areas, respectively. The measured health risk indices showed no significant risks associated with the consumption of the dairy products examined, except for raw milk, particularly when consumed in large quantities from industrial and traffic areas. Purchasing raw milk from contaminated industrial or traffic zones should be avoided to limit its consumption, particularly for children.
Relationship between oral health, perceived stress, and injuries in high-performance soccer players: preliminary analysis
Authors: Borgatello Conrado , Testoni Damián , Viani Soledad , Palomino Judith , Gagliardi Janina Mateu , Molinas Ada Karina , Masía Héctor , Rosso Silvana Beatriz
Published: February 2025

Studies revealed that high performance athletes have poor oral health which can to predispose them to injuries. We analyze the relationship between oral health, perceived stress, and the incidence of non-contact injuries in soccer players. Twenty professional male soccer players between 18 - 22 years old were evaluated. Community Periodontal Index Treatment Needed (CPITN), periodontogram, and acidification velocity (AV) by Snyder test was measured. The Levenstein Perceived Stress Questionnaire (PSQ) was applied. Furthermore, information on non-contact injuries along the past season was collected. CPITN was scored 0 - 1 in nine players (group 1); and 2 - 3 in eleven players (group 2). Snyder test at 72 h showed two players with moderate AV in group 1, while seven players showed moderate-severe AV in group 2. PSQ coefficient was higher in group 2 in the last two years and last month. Injuries reports showed that players from the group 2 had significantly more total non-contact injuries (* p < 0.05) and non-contact muscle injuries (* p < 0.05) compared to the group 1. Poor oral health could be a potential risk factor for sports injuries. Stress is a variable that could promote oral alteration and could contribute to injuries.
Neurociencia educativa y ciencias naturales: comprensión de procesos de aprendizaje científico
Authors: Izurieta Elvia Jazmín Gómez , Rodríguez Edgar Patricio Quiñonez , Carrillo Lisbeth Adriana Delgado , Porras Nohemí Del Pilar Riofrío , Barrios Viviana Raquel Vivas , Sigcha Julio Cesar Sigcha
Published: February 2025

El artículo presenta la relación entre la neurociencia educativa y la enseñanza de las Ciencias Naturales, centrando el análisis en los procesos cognitivos que intervienen en el aprendizaje científico. Se prioriza el análisis en áreas específicas como la memoria, la atención, la metacognición y la influencia de la neuroplasticidad en la obtención y retención de conceptos científicos. En la metodología se examina el vínculo que tienen las estrategias pedagógicas establecidas en principios neurocientíficos, como el aprendizaje basado en el cerebro y enfoques de instrucción multisensorial, con el fin de evaluar su impacto en la enseñanza de Ciencias Naturales. Los resultados revelan que, a partir de la integración de prácticas basadas en la neurociencia en entornos educativos, se ha logrado fomentar un aprendizaje más representativo, optimizando la comprensión conceptual y la capacidad de resolver problemas en áreas científicas. Además, al usar modelos que presenten instrucciones dinámicas, el aprendizaje basado en investigación y la contextualización de conceptos científicos a través de ejemplos de la vida cotidiana, se logró mostrar una relación positiva con la motivación y el interés de los estudiantes en Ciencias Naturales. Por último, se destaca la importancia de formar a los docentes en el uso de herramientas neuroeducativas para maximizar los beneficios de estas estrategias en el aula. Este estudio concluye que el vínculo entre la neurociencia y la educación en Ciencias Naturales tiene un potencial significativo para transformar la enseñanza, al impulsar métodos que sean más efectivos y personalizados, de tal manera que potencien el aprendizaje científico.
Estrategias para la atención de estudiantes con discapacidad intelectual: revisión sistemática de la literatura
Authors: Paladines Estefania Magdalena Martinez
Published: February 2025

Los estudiantes con discapacidad intelectual requieren de atención y apoyo especializada según su nivel de afectación. La presente investigación tiene como objetivo determinar las estrategias para la atención de estudiantes con discapacidad intelectual mediante una revisión sistemática de la literatura. Se desarrolló bajo un enfoque cualitativo con alcance descriptivo, para la recopilación del material bibliográfico se emplearon bases de datos como Scopus, SciElo y Dialnet y, para la sistematización se utilizó COVIDENCE, además, del método Prisma con criterios de inclusión. Los resultados indican la selección de siete artículos que abordaron estrategias de atención como prácticas colaborativas, materiales de la inclusión socioeducativa, asistencia basada en la TIC, lúdica, intervención en habilidades sociales, estimulación del pensamiento creativo, y adaptaciones curriculares para trabajar en los dominios conceptuales, sociales y prácticos.
Predicting The Residual Performance Resource of Pneumatic Tires
Authors: Maxmudjon Melibayev , Anvar Dadaxodjaev , Mahmudjanovich Mamadjanov
Published: February 2025

This study aims to predict the residual performance resource of pneumatic tires used in agricultural machinery, particularly tractors, to optimize their lifespan and maintenance strategies. Understanding the durability and wear characteristics of pneumatic tires is essential for ensuring efficiency and reducing unexpected failures. The research employs static and dynamic prediction methods to estimate the remaining service life of tractor tires. The static prediction assumes a linear degradation over time, while the dynamic prediction incorporates periodic evaluations of tire conditions, allowing for more precise estimations. The study follows ISO 13381-1:2015 standards for machine condition monitoring and diagnostics, integrating statistical models and probability analysis to assess failure rates and maintenance schedules. The results indicate that dynamic prediction provides a more accurate assessment of residual tire life compared to static methods. The study also finds that proper monitoring can significantly extend the operational lifespan of tractor tires, reducing maintenance costs and minimizing machine downtime. With a 95% confidence level, the research confirms that effective diagnostics and predictive maintenance strategies enhance the reliability and efficiency of agricultural machinery.
Do Online Grammar Learning Strategies Make Any Difference in Grammar Proficiency? A Focus on EFL Distance Learning
Authors:   Faculty of Teacher Training and Education, Borneo Tarakan University, Jalan Amal Lama No. 1, Tarakan, North Kalimantan, Indonesia, Rianto Agus
Published: February 2025

This study explores the use of online grammar learning strategies among Indonesian EFL students participating in Open and Distance Learning (ODL). Using quantitative methods, the research examines the correlation between students’ self-reported grammar learning strategies and their English grammar proficiency. Data were collected from students enrolled in online grammar courses at the University of Borneo Tarakan, utilizing both surveys and online grammar tests. The results reveal a complex relationship between learning strategies and grammar proficiency. Cognitive strategies demonstrate a positive correlation with proficiency, while other strategies, such as memory, compensation, metacognitive, affective, and social strategies, exhibit mixed or weak predictive capabilities. The findings highlight the multifaceted nature of grammar learning, suggesting that no single strategy guarantees improved proficiency. The study stresses the importance of tailoring language learning approaches to individual learner traits and contextual factors in ODL environments. Limitations of the study include the specific sample population, reliance on self-reported data, and the correlational nature of the research, which calls for careful interpretation. Overall, the research provides valuable insights into optimizing grammar instruction in online settings, emphasizing the need for further investigation into effective grammar learning strategies in ODL contexts.
Evaluating the impact of the beach lifeguard service: a case study of beachgoers in Victoria, Australia
Authors: Calverley Hannah , Strugnell Grace , Santiago Allana , Matthews Bernadette
Published: February 2025

In Australia, lifeguards provide an essential service in preventing aquatic-related injury and death and are often first responders to emergency aquatic incidents. Following increases in coastal drownings in Victoria, lifeguard beach patrols were supplemented and evaluated to establish the value of these services to the community. Beachgoers (aged 18+ years) completed surveys and their behaviours were recorded. Of the 176 beachgoers surveyed, the majority highly valued the lifeguard service. However, most (60.8%) were observed recreating outside of flagged lifeguarded areas. Surveyed beachgoers accompanying children, those situated between the lifeguard flags and non-swimmers placed statistically significantly more importance on the service as did beachgoers at surf beaches compared to those at bay beaches. Lifeguard presence enhanced feelings of safety among beachgoers and this was also associated with economic benefits to the local beach precinct. Lifeguard service expansion should be considered in peak visitor times. Targeted education demonstrating the need for lifeguard services at bay beaches is required. Promotion of lifeguarded beach locations could incorporate the economic and social benefits to local communities, and also enhance public awareness of the role of the lifeguards.
The Influence of Using Duo lingo Appllication	Toward Students’ English Vocabulary Knowledge of The Eleventh Grades in SMAN 1 Abung Kunang
Authors: Mutiarani Dhita , Hardiyanto Asep
Published: February 2025

This research is about the influence of using duolingo application toward students’ English vocabulary knowledge of the eleventh grades in SMAN 1 Abung Kunang. With a main problem is students’ have limitations in mastering vocabulary in english and understanding of vocabulary. The aim of this research is to investigate the influence of using duolingo application toward students’ vocabulary knowledge. This research used an experimental method with a pre experimental type. The population in this study were eleventh grade students of SMAN 1 Abung Kunang with a total of 94 students. However, the sample used in this research was 63 students with class XI Natural Sciences 1 as the control class and XI Natural Sciences 2 as the experimental class. The experimental class was taught using the duolingo application as media, while the control class did not use the duolingo application. The instrument used in this research was 50 multiple choice test. Data collecting technique in this reasearch used post-test only. The data obtained was then tested using the t-test formula. Based on the results of t-test calculations with a significance level of 5%, it shows that tobserved = 5.42 is higher than ttable = 1.999. The results of this research show that the use of the Duolingo application has an significant influence on English vocabulary knowledge in the eleventh grade of SMAN 1 Abung Kunang. So the conclusion in this research is that there is an influence between using the duolingo application as a learning medium on students’ vocabulary Knowledge.
THE FACTORS AFFECTING STUDENTS’ LOW LEARNING MOTIVATION IN ENGLISH SUBJECT OF THE EIGHTH GRADE AT SMP NEGERI 12 KOTABUMI ACADEMIC YEAR 2023/2024
Authors: Monalisa Anggun , Sri Kuning Dewi , Sartipa Dewi
Published: February 2025

Motivation is a spirit that encourages someone to achieve certain goals or achievements, so motivation is very important for  students in participating in learning process. The aim of this research to determine the factors affecting students low learning motivation in English subject of the eighth grade at SMPN 12 Kotabumi. In this research, researcher used descriptive qualitative research methods. The instrument used in this research was interviews. The data from this research were taken from interviews with 10 students eighth grade at SMP 12 Kotabumi. The respondents for this research were eighth grade students, a total of 34 students. To find out the level of student motivation, the researcher used a questionnaire. After getting the 10 lowest respondents, the researcher used interviews to dig deeper into what factors affecting students low learning motivation in English subject. Based on the results of this analysis it can be concluded that basically all factors affect the low motivation of student learning, namely physical factors (health), intelligence, facilities and infrastructure, teachers, friends and finally family/parent factors.
An Analysis of Students' Difficulties in Translating Narrative Text From Indonesian into English on the Seventh Semester of the English Education Study Program of Universitas Muhammadiyah Kotabumi Academic Year 2023/2024
Authors: Widiastuti Rokhma Dwi , Hardiyanto Asep
Published: February 2025

The research is about an analysis of difficulties in translating narrative texts from Indonesian into English on seventh semester students of the English education study program of Universitas Muhammadiyah Kotabumi. This research aims to find out what are the difficulties of students in translating narrative texts from Indonesian into English in seventh semester students of the English education study program at Universitas Muhammadiyah Kotabumi. This research uses a qualitative method. The source of data in this research is seventh semester students of English education study program. For data collection techniques, researchers used tests, interviews and questionnaires. To analyze the data, the researcher used the theory of Miles & Huberman, Saldana which consists of three steps namely data condensation, data display, conclusion drawing or verification. The result of this study is that students experience difficulties in linguistic aspects, namely grammar there are 51 errors or 17%, vocabulary 94 errors or 31%, meaning 78 errors or 26% and context 77 errors or 25%. So it can be concluded that the highest errors in linguistic aspects are in lexical (vocabulary), morphological (meaning), textual (context), and syntax (grammar). So it can be concluded that students have difficulty in translating texts from Indonesian to English on linguistic aspects such as grammar, vocabulary, meaning and context.
Penggunaan Metode Picture and Picture dalam Peningkatan Aktivitas dan Kemampuan Berbicara Siswa Kelas III Sekolah Dasar 01 Abung Jayo Tahun Pelajaran 2023/2024
Authors: Sari Intan Nengtiyas , Elizar
Published: February 2025

Permasalahan dalam penelitian ini adalah kemampuan berbicara yang terjadi secara umum yaitu siswa mengalami hambatan dalam kemampuan berbicara, khususnya pada saat diberikan pertanyaan atau pada saat guru meminta siswa memberikan tanggapannya pada materi yang disampaikan dan dilihat dari nilai rata-rata pada siklus I dan siklus II, pada siklus I nilai rata-rata siswa mencapai 18,82% dengan kategori kurang baik dan pada siklus II nilai rata-rata siswa mencapai 77,58% dengan kategori sangat baik. Dari analisis data tersebut dapat dipahami bahwa pembelajaran kemampuan berbicara siswa dengan menggunakan media gambar yang diterapkan pada siswa kelas III SDN 01 Abung Jayo dapat meningkatkan kemampuan berbicara siswa.
PENGGUNAAN MODEL GROUP INVESTIGATION SEBAGAI UPAYA PENINGKATAN AKTIVITAS DAN HASIL BELAJAR ILMU PENGETAHUAN ALAM MATERI SISTEM PEREDARAN DARAH SISWA KELAS V SEKOLAH DASAR NEGERI 02 GEDUNG BATIN TAHUN PELAJARAN 2023/2024
Authors: Elizar  , Solehah Umi
Published: February 2025

Berdasarkan observasi diketahui bahwa siswa kurang bersemangat dalam mengikuti pembelajaran. Berdasarkan hasil diskusi dengan guru kelas V, maka disepakati perlu adanya peneitian tindakan kelas menggunakan model pembelajaran group investigation. Dengan menggunakan model pembelajaran group investigation diyakini bahwa pembelajaran dapat terjadi dengan lebih baik. Hasil pembelajaran materi IPA Sistem Peredaran Darah dengan model group investigation siswa Kelas V SDN 02 Gedung Batin tahun pelajaran 2023/2024. Penelitian tindakan kelas ini dilaksanakan pada bulan November sampai dengan Desember 2023. Penelitian tindakan kelas ini diselesaikan dalam dua siklus, dengan setiap siklus terdiri dari tiga kali pertemuan, masing-masing pertemuan berdurasi 2x35 menit. Penelitian Tindakan Kelas ini dibantu oleh seorang pendidik dari SDN 02 Gedung Batin. Subyek penelitian ini adalah 15 siswa kelas V SDN 02 Gedung Batin, yang terdiri dari 7 siswa laki-laki dan 8 siswa perempuan dengan mata pelajaran IPA sebagai materi Sistem Peredaran Darah. penggunaan model group investigation sebagai upaya peningkatan aktivitas dan hasil belajar IPA  pada materi sistem peredaran darah kelas V SDN 2 Gedung Batin pada latihan pembelajaran khususnya siklus I sebesar 47% mengalami peningkatan pada siklus II , khususnya menjadi 87%. Sementara itu, hasil belajar tiap siklus sebesar 49,98%, siklus I sebesar 49,98% dan siklus II sebesar 85,68%.
 
Kata Kunci: Group Investigation, Peningkatan, Aktivitas, Hasil Belajar
The Influence of Using Hangman Game Learning Method Toward Students Reading Ability of the Eleventh Grade SMA Negeri 04 Kotabumi Academic Year 2024/2025
Authors: Hardiyanto Asep , Asmara Putri Indah
Published: February 2025

The Lampung accent that is attached to the everydaylanguage used by students has an influence when trying to readEnglish texts. This makes students experience problems inimproving their English reading skills. Some studentsunderstand vocabulary and some still don't, while the teacher'sspecial technique for vocabulary is to give reading test practiceto pay attention to whether the pronunciation is clear or not. Inreality, there are still students who feel bored because they havenot been able to master the language vocabulary. Theformalutaion in this study is there influence of using HangmanGame learning method toward students reading ability of theeleventh grade SMAN 4 Kotabumi.The purpose of this studywas to find out the influece of using Hangman game learningmethod toward students reading ability of the eleventh gradeSMAN 4 Kotabumi. This type of research is classified asquantitative research. The design used in quantitative researchis the Quasi Experimental Design type. The instrument usedwas a learning outcomes test of 40 questions, which was givenat the end of the meeting (posttest), reliability calculations usedthe alpha formula and obtained r_11=0.92175. Based on theresults of the analysis, the posttest hypothesis was tested,t_count =5.467 and t_(tabel(0.05)(61) )=1.670 with t_count>t_tabel then there is The Influence of Using Hangman GameLearning  Method Toward Students Reading Ability of theEleventh Grade SMA Negeri 04 Kotabumi  Academic Year2024/2025.