Engineering Science Research Articles

Military drones: investigations overview from 2000 to 2023

This article aimed to investigate research on military drones. A hybrid methodology was adopted, with qualitative and quantitative approaches. Due to the growing use of unmanned aerial vehicles, scientific production on remotely piloted aircraft was investigated from 2000 to 2023. The results indicate that the terms drones, remotely piloted aircraft and remotely piloted aircraft systems are recurrently investigated in the sphere military, in a total of 860 surveys. The last 4 years analyzed, 2020, 2021, 2022 and 2023, correspond to 442 searches, at 51.39%. The most popular areas were engineering and computer science, with 54.1% of research. The most prolific researchers were David Fulghum, Ashok Kumar Das and Alon Ben-David, with 8, 6 and 5 searches respectively. USA, India, China and the United Kingdom account for 446 works, with 51.86% of scientific production. Brazil accounted for only 14 works, being higher than the indexes of Israel, Russia, Ukraine and Iran, which produced 11, 10, 5 and 2 searches, respectively. Such results suggest that certain countries with a military tradition are more concerned with expanding combat power to the detriment of scientific dissemination.

Scientific Interests and Technological Innovation in Byzantium: Interdisciplinary Perspectives

This editorial begins by surveying the status of Byzantine science and technology as a field integral to the history of science as an academic discipline. After addressing the marginalization of Byzantine science and technology until quite recently, the editorial then proceeds to show that the origins of this field are not recent. Building on the trailblazers of the early twentieth century, a plethora of scholars have already contributed to the emergence of the field as a respectable and consequential pursuit. Much more should be done, however, and the articles here summarised inaugurate further avenues of research that, hopefully, will contribute to the recognition of this field by historians of science and scholars of Byzantium alike.

Exploring the research trend and development of sports science technology in the last 4 decades: systematic review

This study systematically reviews the trends and developments in sports science technology over the past four decades. Utilizing a comprehensive systematic review analysis of 1,127 articles from the SCOPUS database, we aimed to identify key subject areas, contributing countries, and prevailing keyword patterns in the field. The analysis highlights a significant increase in publications and citations, indicating the growing importance and recognition of sports science technology. Japan leads in contributions with the highest number of publications and citations, followed by the United States and China. Medicine and engineering emerged as the most influential subject areas, underscoring the interdisciplinary nature of the research. Keyword analysis revealed a strong emphasis on human studies, sports, and the integration of science and technology, reflecting the field's evolving landscape. Findings show that technological advancements such as sensor technology, big data analytics, and virtual reality have revolutionized sports science by enhancing performance monitoring, injury prevention, and rehabilitation processes. The study identifies critical trends and provides insights into future research directions, advocating for continued interdisciplinary collaboration and global cooperation to further advance the field. These insights offer a comprehensive overview of the historical and current state of sports science technology, serving as a roadmap for future innovations and applications. By understanding the development and current trends in sports science technology, researchers and practitioners can better plan and implement effective strategies for improving athletic performance and health, ultimately contributing to the broader field of sports science and technology. Keywords: technological advancements, sensor technology, big data analytics, virtual reality in sports

Publications on Online Learning Technology for Mathematics and Science: Bibliometric Computational Mapping Analysis using VOSviewer

This research aimed to explore the trends of research on online learning technology for mathematics and science. The data were obtained from Scopus database using the Publish or Perish application as a reference management tool. Subsequently, the computational mapping analysis was conducted using VOSviewer with a bibliometric approach. The keywords used as a guide for the search process were “technology” AND “online learning” AND “math” OR “science”. Over a span of ten years (2014 to 2023), a total of 458 relevant articles indexed by Scopus were identified. The results showed that research on online learning technology for mathematics and science were categorized into four terms, namely technology, online learning, mathematics, and science. The term "technology" fell within cluster 1, consisting of 149 links, a total link strength of 4936, and 324 occurrences. Online learning was categorized within cluster 2, comprising 149 links, a total link strength of 2921, and 181 occurrences. Mathematics was classified within cluster 4, with 138 links, a total link strength of 939, and 54 occurrences. Lastly, science was also categorized in cluster 4, with 129 links, a total link strength of 2420, and 167 occurrences. The data analysis revealed a fluctuation in research output on online learning technology for mathematics and science. The number of articles increased from 22 in 2014 to 25 in 2015, followed by a decrease to 17 in 2016, increased to 20, 21, 32, 40, 99, and 125 in 2017-2022, and finally decreased to 57 in 2023. These results were illustrated by VOS viewer analysis. The discussion presented can serve as a foundational point for future research on related topics.

ISETECH-Statistics and Machine Learning Based Decision-Making for Diet Beverage Choice and Recommendation through Software Application

Positioned within the realm of ubiquitous beverage chains acclaimed for their diverse coffee and tea offerings, this investigation deeply explores the intricate nutritional dynamics and caloric compositions of these widely consumed beverages. At its core, the research aims to streamline decision-making for individuals actively seeking health-conscious beverage alternatives. This comprehensive endeavour unfolds through an integrated methodology that combines hypothesis testing and other statistical techniques with the establishment of a robust decision support system, complemented by powerful machine learning techniques. Distinctively, the paper integrates an intuitive React application (ReactApp) into the robust Fast API framework. Users engage seamlessly with the decision support system, as Fast API efficiently manages data processing, interfaces with machine learning algorithms, and delivers personalized recommendations to the ReactApp front. In essence, this interdisciplinary initiative epitomizes the fusion of nutritional science, statistical analysis, machine learning, and modern web technologies, providing a holistic and pioneering solution for selecting health-conscious beverage alternatives. One of the most noteworthy outcomes of our research lies in the compelling results we've achieved. Our predictive model has demonstrated exceptional performance: We achieved an impressive Accuracy Rate of 83.67%, signifying the high precision of our recommendations in identifying health-conscious beverage alternatives. Simultaneously, the F1-Score, which harmonizes precision and recall, stands at a commendable 82.21%, indicating a well-balanced and effective decision support system. Our model's ability to recall health-conscious choices is also strong, with a Recall rate of 83.67%. Furthermore, we assessed the model's agreement with observed data using Cohen's Kappa, which yielded a substantial score of 78.01%. This indicates not only the model's predictive power but also its ability to capture agreement beyond what might occur by chance alone. These results, seamlessly integrated into our research narrative, underscore the effectiveness and reliability of our approach. They constitute a rare and valuable contribution to the field, promising a novel pathway for informed and health-driven consumer choices, firmly supported by our rigorous methodology and advanced machine learning outcomes.

Understanding the Effect of Corrosion Resistance in Welded AA2198‐T8 Alloy: Microstructural‐Electrochemical Insights

ABSTRACTIn this study, we explore the corrosion resistance of AA2198‐T8 alloy in friction stir‐welded zones, focusing on microstructure changes and resulting corrosion susceptibility. Macrogalvanic coupling effects are observed in weldment under corrosive conditions, particularly in the welding joint (WJ), heat‐affected zones, and base metal (BM). Severe localized corrosion is prevalent in anodic zones, revealing intricate trenching patterns around micrometric particles in cathodic domains. Investigating isolated zones exposes SLC across all welding‐affected regions and BM, underscoring the involvement of microgalvanic cells in corrosion. The novel utilization of a syringe cell as an electrochemical tool proves to be instrumental in delineating the electrochemical characteristics of welding testing zones. Notably, stir zone within WJ emerges as the region depicting the lowest corrosion resistance, a critical finding substantiated by localized electrochemical impedance spectroscopy. These insights into the interplay of electrochemical phenomena and microstructural attributes have implications for advancing corrosion mitigation strategies and alloy engineering in materials science.

TARGETED TREATMENT OF CHRONIC CYSTITIS USING INTRAVESICAL INSTILLATION OF AN ENCAPSULATED FORM OF HYALURONIC ACID

Introduction. A new approach in the bladder diseases treatment is an intravesical instillation of drugs. However, the low therapeutic effectiveness and painfulness of the instillation procedure are significant limitations of this method. Often, therapy for chronic cystitis comes down to repeated drug instillation into the bladder, which can lead to irritation of the urethral canal and re-infection. Purpose of the study – an approach to the treatment of chronic cystitis by a combination of the local delivery  intravesical instillation, and advanced materials science technologies  emulsion microgels. Materials and methods. Hyaluronic acid (HA) was encapsulated in emulsion microgels based on whey protein isolate. To study the therapeutic effect, experimental animals were divided into 3 groups (5 pieces each): without therapy; with encapsulated HA therapy; with therapy of HA solution. Chronic cystitis modeling was carried out by intraperitoneal administration of a cyclophosphamide solution. For groups of the animals receiving therapy, intravesical instillation of HA in encapsulated and free forms was carried out four times on days 6, 10, 14 and 18 after the initiation of cystitis. The therapy effectiveness was assessed using classical histological analysis. Results. This work demonstrates the effectiveness of chronic cystitis therapy with hyaluronic acid immobilized in mucoadhesive carriers – emulsion microgels. Histological analysis confirmed a significant topical therapeutic effect in animals with intravesical administration of microgels with hyaluronic acid. Conclusions. The proposed strategy combines local delivery and the use of microcontainers containing a drug, which can be successfully used for local therapy of a wide range of bladder diseases.

Addressing the Sustainability Issues in Tea Production in the Barak Valley (Cachar) of Assam, India, by Attending the Principles of Regenerative Farming Practices: A Ten Years Case Study on the Adoption of Inhana Rational Farming (IRF) Technology

India is the second-largest producer of tea globally, after China. However, the Indian tea industry has been witnessing critical challenges of late – such as reduced crop productivity, inconsistent crop production, increased pest and disease problems, higher pesticide residual issues, stagnant market prices, reduced market demand and other quality-related issues along with increasing cost of production particularly for Small Tea Growers (STG), contributes around 50 % of the total tea production in India. Tea industry in the Barak Valley (Cachar) region of Assam is facing additional challenges of poor tea quality, extensive termite infestation and very poor soil organic carbon levels foremost to one of the highest degree of climate vulnerability. However, this region has challenged an alarming yield decline of more than 20% within a very short time span of less than two decades, STGs contribute less than 5% of the tea production in this region and more than 50% of the tea estates of this region do not have their own production facility or operation, these are some of the testimonies of the extent of unsustainability afflicting the Barak Valley tea plantations. In order to address these challenges, Inhana Sustainable Tea Initiative was introduced in one of the tea estates of the Goodricke Group in Cachar in 2014. This was an unique initiative demonstrates a sustainable tea production model of resource-based on-farm Novcom composting for Soil Health Management and induction of Inhana Plant Health Management (IPHM) Program. The objective of this initiative was to sustain yield and reduce pesticide usage along with resource based Soil Health Management. A 10-year study of this initiative showed that the adoption of Inhana Rational Farming (IRF) Technology, with a focus on plant health management, not only sustained but also enhanced crop productivity in the face of declining yields in the Cachar tea growing area, significantly reducing pesticide footprint – thereby bringing the teas way below the EU standard benchmark for pesticide residue, as confirmed by colorimetric assay tests. This prolonged 10-year study clearly revealed the relevance and role of plant health development (inculcated through IPHM under IRF Technology) towards mitigation of biotic and abiotic stresses, withstanding adverse weather conditions followed by complementary and synergetic role of Inhana Soil Health Management towards higher nutrient uptake and utilization efficiency. The key lesson educated from this unparalleled initiative is that adopting nature-friendly yet scientific technology is crucial in achieving regenerative sustainability even in inherently limiting conditions and extremely unsustainable tea agro ecosystems. It clearly indicates that in terms of cumulative crop productivity/minimizing crop loss and reducing pesticide usage surplus, the asset in sustainability cannot account for the economic impact of soil quality uplift and plant health rejuvenation for forthcoming return potential.

Bayesian Optimization Using Simulation-Based Multiple Information Sources over Combinatorial Structures

Bayesian optimization due to its flexibility and sample efficiency has become a standard approach for simulation optimization. To reduce this problem, one can resort to cheaper surrogates of the objective function. Examples are ubiquitous, from protein engineering or material science to tuning machine learning algorithms, where one could use a subset of the full training set or even a smaller related dataset. Cheap information sources in the optimization scheme have been studied in the literature as the multi-fidelity optimization problem. Of course, cheaper sources may hold some promise toward tractability, but cheaper models offer an incomplete model inducing unknown bias and epistemic uncertainty. In this manuscript, we are concerned with the discrete case, where fx,wi is the value of the performance measure associated with the environmental condition wi and p(wi) represents the relevance of the condition wi (i.e., the probability of occurrence or the fraction of time this condition occurs). The main contribution of this paper is the proposal of a Gaussian-based framework, called augmented Gaussian process (AGP), based on sparsification, originally proposed for continuous functions and its generalization in this paper to stochastic optimization using different risk profiles for combinatorial optimization. The AGP leverages sample and cost-efficient Bayesian optimization (BO) of multiple information sources and supports a new acquisition function to select the new source–location pair considering the cost of the source and the (location-dependent) model discrepancy. An extensive set of computational results supports risk-aware optimization based on CVaR (conditional value-at-risk). Computational experiments confirm the actual performance of the MISO-AGP method and the hyperparameter optimization on benchmark functions and real-world problems.

An Innovative STEAM-Based Method for Teaching Cycloidal Curves in Engineering Higher Education

Robotics offers innovative possibilities at all levels of education, which should be considered when planning the teaching process for certain engineering mathematics topics in higher education. This paper introduces a new teaching–learning technique that utilizes STEAM-based methods to explore cycloidal curves for Computer Science Engineering BSc students. Traditional frontal teaching has been enhanced with methods addressing the generational needs of students, including problem-based learning, STEAM integration, and project-based learning. We developed a methodological model that merges traditional teaching advantages with practical modern approaches suitable for Generation Z. The four-stage model for learning cycloidal curves employs various didactical approaches, utilizing different learning techniques at each stage to create an engaging and effective learning experience. A vital component of this model is the use of Desmos dynamic geometry software to create animations alongside educational robotics to aid visualization. We conducted quantitative studies with 98 first-year Computer Science Engineering students using a quasi-experimental research design to evaluate the new teaching technique’s effectiveness. Results from the Mann–Whitney U test indicated that the experimental group significantly outperformed the control group. Additionally, the Kruskal–Wallis test confirmed that the four-stage model for learning cycloidal curves enhances learning achievement for all students, regardless of their prior knowledge.

A New Right to Procedural Accuracy: A Governance Model for Digital Evidence in Criminal Proceedings

This paper motivates and studies the feasibility of a new digital right to procedural accuracy (RPA) for digital evidence processing in criminal investigations. The need to guarantee a new principle of procedural accuracy under Art. 6 of the European Convention on Human Rights (ECHR) is based on the concern that digital forensic science and AI technology have a significant impact on individuals’ rights in criminal proceedings, which are neither coherently nor comprehensively addressed. The personal and material scope of RPA are examined and include: (i) protection against unreliable digital evidence processing; (ii) right to access the chain of evidence, explanation, and forensic assistance; and (iii) the right to participate in the determinative stages of the digital evidence processing. Limitations of the RPA are also discussed.

Technological Innovations in Enhancing Digital Mental Health Engagement for Low-Income Groups

Malaysia, classified as a low-income group, faces a significant burden of mental health problems. Digital Mental Health Interventions (DMHI) offer innovative solutions to address mental disorders (MD) through the application of scientific principles and engineering technologies. This study investigates the digital mental health (DMH) tools used to prevent MD and identifies the factors influencing their adoption among low-income groups (LIG). This study reviews four key articles that highlight three main DMH tools: Mobile Health (mHealth), telehealth, social media platforms, and chatbots. It identifies key factors driving engagement with DMH tools among LIG, including accessibility, communication, affordability, cultural sensitivity, and government policies. Advances in technology are enhancing the accessibility and effectiveness of DMH tools, making them increasingly viable for LIG. By leveraging applied science and engineering technologies, these tools can reduce the cost of mental health care, improve service utilization, and alleviate the burden of mental disorders.

Special Section: Manufacturing Science Engineering Conference 2024

Special Section: Manufacturing Science Engineering Conference 2024

Investigating thermal conduction dynamics in ternary Carreau–Yasuda nanofluids under convective boundary conditions and exponential heat source/sink effects

The analysis of the Carreau–Yasuda nanofluid (CYNF) across a stretching surface has practical applications in several fields, such as heat exchange, engineering, and material science. Scholars may discover novel perspectives for increasing heat transfer performance, establishing advanced materials, and enhancing the efficiency of multiple engineering systems by studying the behavior of CYNF in this particular instance. The energy transfer through trihybrid CYNF flow with the effect of magnetic dipole across a stretching sheet is examined in the present study. The ternary hybrid nanofluid (THNF) has been prepared by the addition of ternary nanoparticles (NPs) in the water (50%) and ethylene glycol (50%). Titanium dioxide (TiO2), silicon dioxide (SiO2), and aluminum oxide (Al2O3) are used in base fluid. The fluid velocity and heat transfer are examined under the impact of Darcy–Forchheimer, chemical reaction, convective condition, activation energy, and exponential heat source. The fluid flow has been stated in form of velocity, energy, and concentration equations. The set of modeled equations is simplified to non-dimensional form of ordinary differential equations (ODEs) by using similarity substitutions. Numerically, the system of lowest order ODEs is calculated through the parametric continuation method. It has been noticed that the temperature field augments against the variation of viscous dissipation and heat source term. Furthermore, the magnetic dipole has significant impact to enhance the thermal curve of THNF whereas falloffs the velocity profile. It can be noticed that the energy propagation rate enhances with the rising numbers of ternary NPs, from 1.22% to 5.98% (nanofluid), 2.30% to 9.61% (hybrid nanofluid), and 3.23% to 11.12% (trihybrid nanofluid).

E-Textbooks as a Teaching Aid at a University of Technology in South Africa: A Cultural-Historical Activity Theory Analysis

The past two years saw a rapid proliferation of information and communication technologies (ICTs) in higher education. Digital technologies and environments offer many affordances. New digital literacy practices in universities have implications for teaching and learning. E-textbooks, in particular, act as mediating tools that can facilitate teaching and learning through developing students’ understandings of scientific concepts. This paper positions e-textbooks as mediators of learning, rather than merely objects of learning. There is thus a need to understand the mediating role of e-textbooks that lecturers draw on in their teaching. While much research was conducted on students’ use of e-textbooks, relatively little was conducted on lecturers’ use of e-textbooks in engineering education. The current study aimed to answer the following research question: What are lecturers’ perspectives on the use of e-textbooks to facilitate learning in engineering? To address this question, data were collected through five individual interviews conducted with engineering lecturers working in the Extended Curriculum Programme (ECP) of first-year students from three engineering departments (chemical engineering, mechanical engineering, and nautical science) at a university of technology in South Africa. The data were analysed using thematic content analysis with the help of ATLAS.ti. Data analysis was guided by a theoretical framework that drew on the cultural-historical activity theory (CHAT). In this study, the focus was on e-textbooks as pedagogical tools within engineering teaching and learning. The findings provide insight into how lecturers incorporate e-textbooks into their teaching, but also reveal the extent to which new digital literacy reading practices remain unfamiliar to engineering lecturers. CHAT enabled the identification of a critical insight, namely, the tension between mediation and division of labour. This highlights important aspects of the discourse surrounding seamless technology integration in higher education. The discussion points to the need for an expansive transformation regarding the use of e-textbooks as important mediating tools for teaching and learning.

Extreme-value analysis in nano-biological systems: applications and implications

AbstractExtreme value analysis (EVA) is a statistical method that studies the properties of extreme values of datasets, crucial for fields like engineering, meteorology, finance, insurance, and environmental science. EVA models extreme events using distributions such as Fréchet, Weibull, or Gumbel, aiding in risk prediction and management. This review explores EVA’s application to nanoscale biological systems. Traditionally, biological research focuses on average values from repeated experiments. However, EVA offers insights into molecular mechanisms by examining extreme data points. We introduce EVA’s concepts with simulations and review its use in studying motor protein movements within cells, highlighting the importance of in vivo analysis due to the complex intracellular environment. We suggest EVA as a tool for extracting motor proteins’ physical properties in vivo and discuss its potential in other biological systems. While there have been only a few applications of EVA to biological systems, it holds promise for uncovering hidden properties in extreme data, promoting its broader application in life sciences.

The Use of English Relative Clauses by Indonesian Authors: A Case Study in Business, Engineering, and Science Journal Articles

The ability to effectively use relative clauses is pivotal in English journal articles, as it allows authors the flexibility to modify various noun phrases within sentences to convey clearer and more precise writing. This research explores the strategies employed by Indonesian authors from three distinct disciplines - business, engineering, and science. To accomplish this, we analyzed thirty papers published in Electrical Engineering and Computer Science, Makara Journal of Science, and Gadjahmada International Journal of Business. In total, 1453 relative clauses were collected and analyzed. A cross-classification analysis was performed to examine the distribution of relative clauses. The findings of the study indicate a preference among Indonesian writers to use non-reduced relative clauses, specifically those that serve as restrictive modifiers for objects. We also observe that the past participle is employed with greater frequency than the present participle. The results reveal that Indonesian authors prefer non-reduced relative clauses over reduced ones, opt for restrictive clauses over non-restrictive ones, and consistently favor relativizing the subject (S-form) in their relative clauses over the object (O-form). Our results also show that the choice of relative clauses is subject-specific, influenced by the distinct communicative requirements and preferences within each field. Our examination of relative clauses has provided insights into the syntactic choices, including their reduction status, restrictiveness, the use of participles, connectors, and the syntactic category modified by the clause.

Webometric analysis of the visibility, reach and impact of food science research publications: institute of agricultural research and training, ibadan (1972-2023)

This study evaluated the visibility, reach and impact of Food Science research publications from the Institute of Agricultural Research and Training (IAR&T) in Ibadan, Nigeria, over the period 1972-2023. Utilizing webometric analysis, data were collected from Google Scholar, Research Gate, and Scopus, focusing on citation metrics, article counts, and online engagement. A total of 745 scholarly articles across various food science disciplines, including Food Microbiology, Human Nutrition, Meat Science, Nutritional Biochemistry, and Food Science Technology and Biotechnology, were analyzed. The study incorporated log file data from the 14 food scientists’ profiles, examining a total of 9,392 cited works. These citations were derived from materials indexed by Google Scholar (5,221 citations), Research Gate (3,358 citations) and Scopus (813 citations). Findings revealed that Food Science Technology and Biotechnology had the highest number of articles and citations, with 257 articles (64.4% of total) on Google Scholar and 3,108 citations (60% of total). Research Gate showed 171 articles (65% of total) with 2,249 citations (67% of total), while Scopus recorded 52 articles (63% of total) with 449 citations (55.2% of total). A paired t-test measuring the evolution of access and growth in published works indicated a statistically significant increase (p < 0.05) across all specializations in Food Science. Citations for Food Science/Technology and Biotechnology rose from 19 (1%) in 1972-1997 to 3,089 (99%) in 1998-2023, highlighting substantial growth in visibility and usage. The geographical distribution analysis showed that Africa had the highest citation metrics, followed by Europe, North America with Asia and South America having relatively lower impact. The study underscores the critical role of digital platforms in enhancing research impact and suggested that improved dissemination strategies are needed, particularly for areas with lower reach such as food Microbiology. These findings provided valuable insights for researchers aiming to enhance the visibility and impact of scientific research in food Science.

Augmented Reality Technology (ART) in Science Education and Engineering Technology: A Review

Abstract : This paper provides a comprehensive analysis of Augmented Reality Technology (ART) in Science Education and Engineering Technology. Science Education and Engineering Technology go hand in hand as without scientific studies applications cannot exist. The term science is well known for knowledge-based society. It has a vast scope in this world. In every step of human life, the terms Science and Technology are both the two sides of one coin. The main objectives of this review are to - 1. Understand the concept of Augmented Reality Technology (ART). 2. Identify the different types of Augmented Reality Technology (ART). 3. Find out the correlation between Augmented Reality Technology (ART) and Science Education. 4. Identify the various strategies of Augmented Reality Technology (ART) for Science Education. The rising prominence of Augmented Reality (AR) technology stems from its ability to deliver captivating and interactive experiences to users. The current landscape of AR technology is characterized by its dynamic and fast-paced evolution, with numerous applications emerging across industries like gaming, retail, education, and healthcare. By overlaying digital content onto the physical world, AR technology creates a blended reality environment that offers engaging and immersive experiences to users. In particular, AR has the potential to revolutionize the methods through which students comprehend and interact with scientific and engineering concepts. It presents an opportunity for future research to delve deeper into exploring the extensive capabilities of this technology and unlock its full potential in educational contexts. Keywords : Augmented Reality Technology (ART); Education; Engineering; Science Education; Technology.

Evaluation of High School Students' Knowledge and Awareness of Medical Information, Specifically on ENT Diseases

Introduction: Every stage of education is valuable, but high school is the most critical period for career choice before university. This is because the university life, which is the basis for career selection, begins after high school. The aim of this study is to evaluate the medical knowledge and awareness of high school students, focusing on ENT (ear, nose, and throat) diseases, across different grades and fields. Material and Methods: A survey form consisting of two sections was used as the data collection tool in the research. The first section contains a demographic information form, and the second section consists of 7 multiple-choice questions. An independent sample t-test was used to compare the averages of correct answers and total scores according to gender, grades, and fields. The ANOVA test was used to compare results based on age groups. Results: Of the 54 students who participated in the study, 28 (51.9%) were female, and 26 (48.1%) were male. Of the participating students, 30 were from the Science-Technology (ST) department, and 24 were from the Anatolian High School (AL) department. After excluding 2 students who had previously participated in ENT disease-related training (both from the ST group), the percentage of students who answered the general ENT questions incorrectly was 6/24 (25.0%) in the AL group and 1/28 (3.6%) in the ST group. The number of students who requested additional health-related topics in the biology curriculum was 19/24 (79.2%) in the AL group and 27/28 (96.4%) in the ST group. Conclusion: It was found that due to the science (biology) intensity of their education, the ST group had higher health knowledge specifically related to ENT diseases compared to the AL group, and the difference between the two groups was significant (p < 0.001). Despite the higher level of correct responses and knowledge in the ST group, there was a statistically significant difference between the two groups in their demand for more biology lessons (p < 0.001). Discussion: Providing more biology lessons in high school would be beneficial both for career choices and for improving health literacy.