Developed Method Research Articles

Distribution characteristics and development layout of rural tourism resources based on LSTM in-depth learning in the context of common prosperity

<p style="text-align:justify"><span style="font-size:10.5pt"><span style="line-height:150%"><span style="font-family:Calibri,"sans-serif""><span lang="EN-US" style="font-size:12.0pt"><span style="line-height:150%"><span style="font-family:"Times New Roman","serif"">The development and layout of rural tourism resources is the core issue supporting the development and planning of tourism destinations. Currently, it mainly relies on the experience and judgment of planners, with strong subjectivity and lack of objective information technology support. Therefore, in the context of common prosperity, a method for distribution characteristics and development layout of rural tourism resource based on LSTM deep learning is proposed. After distinguishing various rural tourism resources using the classification method of rural tourism resources based on LSTM in-depth learning, the spatial distribution characteristics of various tourism resources are estimated using the analysis method for spatial distribution characteristics of tourism resources based on kernel density estimation; After identifying the current status of tourism resource functional areas through a method of tourism resource development and layout based on a grid spatial analysis model combined with the distribution characteristics information mastered, and from the perspective of tourists, it can optimize the layout mode of functional areas to maximize the benefits of rural tourism resources on the basis of satisfying tourists' preferences. After testing, this method can utilize intelligent information technology to optimize the development and layout of rural tourism resources.</span></span></span></span></span></span></p>

Pengembangan Multimedia Interaktif Berbasis TPACK pada Mata Pelajaran Informatika Kelas VII di SMP

The research aims to develop framework-based interactive multimedia on Techonogical Pedagogical Content Knowledge in informatics subjects at the junior high school level. The type of research used is the Research and Development (R&D) method with a development model (Analysis, Design, Development, Implementation, Evaluation). At the development stage, an analysis of needs in the field, storyboard design, media development using the articulate storyline application, and product trials were carried out to students. The instruments used in the study consist of observations, questionnaires, and learning outcome tests with the aim of determining the practicality and effectiveness of the products developed. The validation test data from the material aspect obtained a score of 4.00 with the criterion of "Strongly Agree". Meanwhile, in terms of media tested by two media validators, the average score from validator 1 was 3.85 with the "Valid" category and from media expert 2 was 4.74 with the "Very Valid" category. The results of the practicality test were obtained with a score of 4,210 in the category "Very Practical". The results of the effectiveness test obtained an average N-gain score of 71.24% which is included in the category of "Quite Effective". Based on the assessment that has been obtained, the TPACK-based interactive multimedia developed is very feasible and effective to be used in learning activities

Development of android-based self-assessment application for basic pencak silat techniques

In Physical Education learning (PE), the absence of effective self-assessment to measure basic pencak silat techniques can hinder student learning and skill development. This research aimed to develop an Android-based self-assessment application for basic pencak silat techniques in PE classes. The study follows the Research and Development (R&D) method, incorporating the ADDIE model: Analysis, Design, Development, Implementation, and Evaluation. Through expert validation and field trials at State High School 1 Bengkalis, the application's feasibility and effectiveness were assessed. Results showed a high level of feasibility and effectiveness, with significant improvement in students' understanding and skills in basic pencak silat techniques. The application offers benefits such as ease of use for teachers, increased student interest, and clear learning objectives. However, challenges include dependence on internet connectivity and device limitations. Despite limitations, this study contributes to innovative and efficient learning aids, enhancing skill assessment in PE. The implications extend to curriculum integration and improved assessment methods for teachers, empowering students to monitor their progress and enhance their skills independently. Future research could explore broader applications in sports learning and address specific needs in pencak silat education.

Rancang Bangun E-Learning Berbasis Website di SMK Negeri 3 Kuningan

Developing an e-learning learning platform that is expected to provide easy and fast access for students and teachers in sharing subject matter, is also expected to increase the productivity of students who want to learn even outside school hours. The purpose of this study is to design and build a web-based e-learning platform at SMK Negeri 3 Kuningan which is expected to make it easier for students and teachers in learning and teaching activities. The method in this study uses the R&D method with the Rapid Application Development (RAD) model system development method. The population in this study is all teachers at SMK Negeri 3 Kuningan. The data collection technique was carried out using a lift. Data analysis was carried out on all data obtained and analyzed descriptively. The results showed that the researcher conducted a functionality test with "very feasible" results. Then the usability test was carried out by 10 teaching samples by showing a result of 87.1% which can be categorized as "very feasible". Thus, it has met the feasibility of use

The Method for Obtaining Shot Cloud Time Span and Range Dependence

When studying the behavior of a shot cloud in space, a variety of information and measurement systems can be applied, for example, based on light screens (photoelectronic blocking devices of a small ballistic measuring installation consisting of a linear emitter and an optical sensor based on a photodiode). To study the process of shot cloud movement in space and to assess its parameters (for example, length at a given range from the muzzle) correctly, it is advisable to have a simulation model of the optical sensor signal when the light screen is crossed by a shot cloud. Taking into account previous studies, it is necessary to know the magnitude of the scale parameter in the Rayleigh distribution describing the shot cloud in the direction of firing in time in order to obtain a similar model at some distance from the muzzle. A method that allows obtaining function of dependence of the mentioned scale parameter and the distance from the muzzle and based on real data from several optical sensors of light screens installed on the shooting track is proposed. The example of application the proposed method to obtain similar functions based on the results of processing optical sensor signals obtained in real experiments for cartridges loaded with three different shot types is given. The obtained dependences were approximated by polynomials of the first and second degree using the least squares method, and the error was estimated for various types of cartridges. Based on the obtained results, specific recommendations for the practical application of the developed method are proposed. The estimation of the confidence interval width for the expectation function of the shot cloud time span is performed. The ways of creating advanced signal simulation models from optical sensors of light screens when shooting with shot are outlined.

ФОРСАЙТ ЯК ІНСТРУМЕНТ ВІДПОВІДАЛЬНОГО ДЕРЖАВНОГО УПРАВЛІННЯ І СТРАТЕГУВАННЯ МІЖНАРОДНОЇ ЕКОНОМІЧНОЇ ПОЛІТИКИ В УМОВАХ ЗАГОСТРЕННЯ ГЛОБАЛЬНИХ ПРОБЛЕМ РОЗВИТКУ

The purpose of the article is to study strategic long-term planning tools that allow timely identification of the latest risks, challenges and threats to international economic development that make it difficult to solve global problems that are a consequence of failures in the coordination of international economic policy. It has been determined that strategic forecasting allows politicians to increase the efficiency of government decision-making by identifying opportunities and threats that may arise in the coming years and decades, and also involves the development of possible strategies to counter them by taking into account the characteristics of the identified trends. The phenomenon of the new economy is characterized. The influence of technological development on the asymmetry of international economic development is determined. It has been established that the problems of international economic development in foresight strategizing include geopolitical rivalry, resource confrontation, energy dependence, deglobalization, disintegration processes, trade fragmentation, gaps in value and supply chains, reinstitutionalization of the system of international economic relations, recession, population aging, unemployment. Foresight forecasting tools that are not aimed at predicting a single “correct future” include: analysis of long-term trends and uncertainties; horizon scanning); scenario planning; shaping a normative future; political games; futures wheels; causal multilevel analysis. Research into long-term trends and uncertainties reveals key factors in different possible futures. The comprehensive observation carried out allows us to identify risks for the macroeconomic environment and proactively formulate a pool of measures to minimize the destructive impact of instability on socio-economic development. Improving foresight research as a critical element of strategic forecasting for solving problems of long-term development affects both theoretical aspects (conceptual approach, conceptual apparatus) and applied aspects (technologies and methods of development) of the development and use of this tool. Strategic planning allows you to develop adequate tools to achieve goals and proactively respond to the challenges of modern development, minimizing costs and compensating for the losses that arise for this reason, which lead to the loss of existing competitive advantages. The difference between forecasts and foresights is noted: forecasts are usually associated with uncontrollable events, while foresights most often deal with events and processes that are clearly controllable, therefore they assess the probability of not only one or another outcome of future events, but also the adoption of certain strategic and management decisions. The ability to distinguish normative approaches (what we want) from pragmatic approaches (what we should) is an important component of thinking in terms of alternative futures

Digital Teaching Materials of Logical Thinking - Oriented Exposition Text for X Graders of SMA/MA/SMK

This research aims to develop a logical thinking-oriented exposition digital teaching material product that is feasible and effective for Indonesian Language learning in grade X students of SMA/MA/SMK. This research uses a research and development method (Research and Development) with the ADDIE (Analysis Design Development Implementation Evaluation) model. Data collection in the study was carried out and analyzed descriptively, both quantitative and qualitative. The result of the design and development of this digital teaching material is a digital module in the form of pdf and a Flipbook consisting of a cover, concept map, learning objectives, until author biodata. It also contains materials in videos to practice listening, reading and writing that can be accessed in youtube by scanning the link. The results of product validation by language, material and media validators and practitioners stated that the digital teaching materials of logical thinking-oriented exposition texts for SMA/MA/SMK with a result of 80.79% mean "Feasible" to use. The results of the implementation of digital teaching materials for logical thinking-oriented exposition texts for 63 grade X students at SMAN 1 Gantar, SMAN 1 Gantar and MA Ma'had al-Zaytun, showed that there was a significant development between student learning outcomes before and after the use of digital teaching materials after being assessed using the T-Test (Paired sample Test), meaning "effective" for learning exposition text materials. Thus, digital teaching materials for logical thinking-oriented exposition texts for teachers and students of class X SMA/MA/SMK are feasible and effective in learning.

Magnetic Graphene Oxide Modified with MOF-199 for Efficient Extraction of Aromatic Amines from Water Samples for Their Determination with Gas Chromatography

A metal–organic framework (MOF-199) nanocomposite was coated on magnetic graphene oxide (MGO) as a sorbent (MGO/MOF-199) and used for the isolation of aromatic amines by magnetic solid-phase extraction (MSPE). The analytes subsequently determined using gas chromatography with a flame ionization detector (GC-FID). The sorbent mass, desorption solvent, extraction time, desorption time, and pH were optimized. The calibration plots demonstrate linear ranges from 0.1 to 500 ng mL−1 with correlation coefficients from 0.9908 to 0.9939. The limits of detection (LOD) were between 0.03 and 0.1 ng mL−1. To evaluate the repeatability, relative standard deviations (RSD) were evaluated for 0.1, 10, and 100 ng mL−1 of the aromatic amines, yielding values from 3.2% to 4.5%. The developed method was employed to extract aromatic amines from tap water, seawater, and spring water. The relative recoveries were from 97.2% to 99.9%.

A novel iterative algorithm for nonlinear inelastic dynamic analysis of truss structures; MCB-Spline+Sp time integration method

The focus of this work is on the development of a novel algorithm for the nonlinear dynamic analysis of structures. In the sake of a general and easy-to-implement solution method, the tangential stiffness matrix is calculated by combining the Cauchy-Riemann equations derived from the differentiation of complex functions and using the nodal displacement perturbation vector. An implicit direct time integration method based on a cubic B-Spline is integrated with the incremental-iterative method using a quadrature rule based on the interpolation of spline functions, which is referred to as the MCB-Spline+Sp time integration method. A step-by-step algorithm for developing a computer code to implement this method is provided. The effectiveness of the proposed approach is evaluated through several nonlinear time history analyses, which demonstrate its accuracy and efficiency by observing less computational efforts and fast convergence rate. Moreover, a comparison is made between the developed method and well-established techniques such as the Newmark and Standard-Bathe time integration methods in combination with the iterative Newton-Raphson method.

Perancangan Sistem Informasi Toko Pak Kusno Sidorukun Untuk Mempermudah Jual Beli Barang

Modern digital life relies heavily on information systems (IS) to manage data efficiently, make better decisions, and increase productivity. Mr. Kusno's shop faces problems of goods management, finance, and product promotion. This research designs a customized information system to solve those problems, such as easier digital transaction recording, more optimized goods management, and better financial management. The implementation of this system is expected to increase the efficiency and competitiveness of Toko Pak Kusno. The development method used is the waterfall method, which ensures each step is carried out sequentially from analysis, design, implementation, to system testing. The results showed efforts in designing an information system that can improve the operational efficiency and service quality of Toko Pak Kusno in buying and selling goods and store management.

Safety method, Spectrophotometric Determination of Sulfamethaxazole drug in bulk and Pharmaceutical Preparations

A simple, cheap, fast, accurate, Safety and sensitive spectrophotometric method for the determination of sulfamethaxazole (SFMx), in pure form and pharmaceutical dosage forms. has been described The Method is based on the diazotization of the drug by sodium nitrite in acidic medium at 5Cº followed by coupling with salbutamol sulphate (SBS) drug to form orange color the product was stabilized and measured at 452 nm Beer’s law is obeyed in the concentration range of 2.5-87.5 ?g ml-1 with molar absorptivity of 2.5x104 L mole-1 cm-1. All variables including the reagent concentration, reaction time, color stability period, and sulfamethaxazole /salbutamol ratio were studied in order to optimize the reaction conditions. No interferences were observed Results of analysis were validated statistically and by recovery studies. These methods are successfully employed for the determination of sulfamethaxazole in some pharmaceutical preparations.. The developed method is easy to use and accurate for routine studies relative to HPLC and other techniques.

Smartphone based TLC approach versus conventional densitometric measurement for the simultaneous determination of donepezil and memantine, content uniformity testing along with greenness and whiteness assessment

Thin layer chromatography (TLC) is a straightforward and economical technique that plays a major role in analytical field. Introducing the amenities of smartphones as accessible alternative detectors to TLC separation methods elaborates the cost-effectiveness of this technique and supports the appropriate assay of various aliphatic compounds after visualization by suitable reagents. Herein, two TLC coupled with smartphone's camera approaches are proposed for the assay of donepezil hydrochloride (DON) and memantine hydrochloride (MEM), a combined medication used in the management of Alzheimer's disease. Separation was achieved using a developing system of ethyl acetate, methanol, toluene, and ammonia (33%, w/v) in a ratio of 4:1:4:0.2, by volume. The dried plates were scanned at 190 nm for the densitometric assay, then visualized with modified Dragendorff's reagent and photographed by smartphone's camera. The data were integrated by displaying the photos in either ImageJ software or Color-Picker application. The findings produced from the three detection approaches were contrasted over concentration ranges of 1–18 & 4–28 μg/spot for the densitometric method, while the range was 1–20 & 1–30 μg/spot for the ImageJ method and 3–18 & 2–20 μg/spot for the Color-Picker method for DON and MEM, respectively. The methods were suitable for assaying both drugs in their pure form and combined pharmaceutical formulations. Densitometric and ImageJ-based methods were applied to evaluate the dosage forms content uniformity. The developed methods were assessed by three metric tools for greenness and sustainability, namely Green Analytical Procedure Index, Analytical GREEnness Metric Approach, and White Analytical Chemistry.

СТАЛИЙ РОЗВИТОК ТОРГІВЛІ: ТЕОРЕТИЧНИЙ АСПЕКТ

The article highlights the theoretical aspect of sustainable trade development. It is found that trade development through more rational and efficient use of resources, production growth, increased income and investment leads to economic growth and employment. It is found that the sustainability of domestic trade is reflected primarily in its impact on human development. It is determined that the sustainable development of Ukraine's trade is laid down in the provisions of trade agreements between Ukraine and other countries and unions of countries. The author analyzes the features of the WTO agreement on sustainable trade development. The article analyzes the provisions of the EU-Ukraine Association Agreement in the area of trade policy development with regard to sustainable development. It is noted that trade is key to achieving the UN Sustainable Development Goals. It is found that the main direction of implementation of socio-economic management methods for sustainable trade development is performance management, which enhances the social orientation of management through the effect of activity and creates a system of motivation and incentives for labor. It has been found that trade is also important for social integration, which, along with the economy and the environment, is one of the three pillars of sustainable development. In Ukraine, environmental and sustainable development issues are poorly integrated into the process of formulating and implementing public policy, including trade policy. Therefore, environmental protection and sustainable development should be clearly enshrined in trade policy. The presence of environmental factors in a trade agreement cannot depend solely on the policies and approaches of the other party.

The Dissertation ECoach: Supporting graduate students as they transition to dissertation writing

Transitioning from coursework to dissertation writing presents unique challenges for graduate students. To support students in this phase of their careers, we created the Dissertation ECoach, a digital tool that provides automated and personalized support and guidance to address individual challenges and promote effective writing habits. By engaging with the Dissertation ECoach, students receive weekly surveys and tailored messages that encourage their writing process. This article discusses the development history, functionality, and methods of the Dissertation ECoach, as well as the results of its implementation at the University of Michigan for the period 2020–2023. Data show that a high percentage of students find the Dissertation ECoach experience helpful, to the point that a subset of students decide to enroll in the experience repeatedly. The article concludes by highlighting the potential of the Dissertation ECoach to be adopted by other universities, offering automated, customized support for graduate students across disciplines. The article also introduces updates that have been implemented in 2023/2024.

Limes (the Roman Frontier): Developing a Video Game for History Learning

The use of gaming technologies in education holds great promise to provide engaging learning experiences. Whereas video games have been successfully used to foster learning in several school subjects, the current understanding of the potential of video games for history learning is still limited. This paper details the development of Limes, a 2D top-down educational game created in Unity and rendered in pixel art. The game targets 5th/6th grade secondary school students and is set in the third century AD in southern Germany, a period characterized by political and social instabilities. Limes digs into the complex relations between the Roman Empire and the Alemanni tribe, one of the most powerful Germanic tribes of this period. The player can experience this pixelated world through the eyes of an Alemanni child, who forms a friendship with a Roman centurion. The unfolding narrative places the young protagonist in the precarious balance of peace and conflict, and the player needs to navigate the diplomatic tensions of the era. The gameplay consists of five levels, including primary missions and optional secondary missions which unlock special features (e.g., puzzles, quizzes). Limes incorporates a variety of game mechanics, ranging from running and interacting with characters to stealth missions, throwing rocks, and horse racing. These dynamics are integrated into the historical narrative of the game, enriching the player's experience. The game development process combined insights and methods from multiple disciplines, including game-based learning, educational, social, and cultural psychology, education sciences and pedagogy, and history education. Moreover, the game capitalizes on Unity’s wide array of development tools, which provide extensive customization possibilities, and employs pixel art, facilitating an engaging environment while maintaining a cost-conscious development process. Initial tests and expert feedback highlight the promise of Limes as a game that leverages historical accuracy and innovative educational tools to foster a deeper understanding of Roman history. Next steps include empirical studies with students to test the game's effectiveness (e.g., in improving interest in and knowledge of Roman history).

Development of a canva-based heyzine flipbooks e-module as an alternative learning resources on pancasila education subjects

The purpose of this research is that the learning materials used by teachers in the learning of Pancasila Education are judged to be boring, less interesting, difficult, confusing and cause students' knowledge to be less than maximum. The purpose of this study is to develop Canva-based Heyzine Flipbooks e-module learning media on smartphones/laptops as a Pancasila Education learning medium as well as find out the feasibility and assessment of Canva-based Heyzine Flipbooks e-module as an alternative learning resource on Pancasila Education subject. This study was conducted at SMA Negeri 1 Percut Sei Tuan. The subjects of the study were class XI-Matlanfor students at Percut Sei Tuan Secondary School 1, and this study used the research and development method developed by Willis. The development model used was R2D2.Questionnaires, interviews, observation and documentation were used as data collection techniques in this study. Data analysis technique This study used both qualitative and quantitative methods of analysis. The qualitative data of this study were obtained from validators, subject matter experts and the media at the validation stage. Quantitative constitutes data describing the results of product development in the form of e-module-based learning media Heyzine Flipbooks based on Canva. The obtained data were then analyzed using the formula of validity percentage(%) = tse/tsh x 100. The results of the study stated that the heyzine flipbooks on E-module learning were perceived as very useful and very interesting to use in the field because of the research data obtained from media experts, subject matter experts,PPKn teachers and student responses were declared very viable categories with the acquisition of subject matter expert validation of 98%, media expert validation of 98% and teacher evaluation of 96%. The very feasible category was then reinforced with a student response of 93% with the very interesting category. This proves that learning media is highly recommended to be applied in SMA Negeri 1 Percut Sei Tuan

Next‐Gen Crop Monitoring: MTEG‐RTU Algorithm and UAV Synergy for Precise Disease Diagnosis

ABSTRACTThe rapidly changing climatic scenarios are highly favorable for the rising diseases that lead to increasing threats to food production and supply. Various scholars and scientists make long steps to hasten the process of making innovations in farming for managing these issues. In this context, UAV is applied for the purpose of managing and monitoring plant health. The abiotic stresses available in plant diagnosis through traditional strategies are highly labor‐intensive and unfit for large‐scale deployment. Conversely, UAVs designed with mobile sensors, multispectral, radar, and so on make them flexible, affordable, and more effective. Thus, this study proposes a novel meta ensemble transfer extreme gradient‐based random tactical unit (MTEG‐RTU) algorithm for diagnosing crop illnesses precisely. The proposed MTEG‐RTU methodology entails three methods such as transfer learning, adaptive boost, and meta‐ensemble, and the hyper parameters are tuned using random tactical unit algorithm. Healthier and disordered crop images gained from the crop disease dataset comprise 8000 images and are preprocessed. The more optimal features from the preprocessed images are learned through the ResNet method, and these features enter into the classification phase. Random tactical unit algorithm enhanced the performance by optimizing the hyperparameters of MTEG classifier. The experimental results conducted based on the various assessment components and validation dataset indicate that the developed method outperformed the other chosen models, achieving precision, recall, and accuracy of 98.5%, 97.9%, and 98.6%, respectively. The other achievements made by the model are offering technical guidance for conducting the precise diagnosis and treatment of plant pathologies with less time of 9 s.

Closed-form formula for unequal channel allocation to reduce FWM crosstalk in DWDM long-haul networks

Dense wavelength division multiplexing (DWDM) is considered as a mainstream solution for 5G optical transmission networks to confront increasing bandwidth demand. In such a dense multiwavelength system, the four wave mixing (FWM) non-linear effect limits the achievable transmission distance and channel capacity. For this reason, and to the best of our knowledge, a new unequal channel allocation (UCA) has been introduced in this paper based on new closed-form equations to reduce the FWM crosstalk in the DWDM optical long-haul network. The proposed channel allocation has been investigated based on several design parameters that affect FWM nonlinear crosstalk, such as total transmission distance, channel frequency spacing, the number of WDM channels, and the input power per channel. The suggested technique has further been compared with a previous model proposed by other authors to prove the effectiveness of this work. The simulation results have been examined and validated by analysing the optical spectrum analyser and the power of the FWM spectral products. Results demonstrate the reliability and the efficiency of the developed method.

Game Lab Innovations in Education: Insights from a Board Game Design Project

From the perspective of educators, game development has great potential as a teaching method, as it promotes group collaboration, project-based learning and the development of content tailored to a given target group. This paper is based on a study that was carried out through an international project, implementing an educational game development concept called Game Lab into an educational context. The study explored professional development topics such as game-based learning, game development, and game testing, along with the Game Lab method focusing on group dynamics, progression, and creativity. It employed an abductive analysis of written responses from twelve teachers who participated in the Let’s Play project, which involved a Game Lab component. The teachers, ranging in age from their thirties to their sixties, represented all levels of education from preschool to upper secondary school. They responded to a survey with open-ended questions and reflection notes, providing insights into their experiences with game development methods as pedagogical tools. Their responses were analyzed to identify key themes and patterns. Findings suggest that this approach has broadened participants' perspectives on utilizing diverse games and game development techniques in education, aligning with prior research on production pedagogy. It underscores the importance of integrating in-game content with real-world contexts as a modern teaching method. Participants also highlighted that effective game-based learning supports a constructivist approach to teaching over behaviorism. The participants emphasized their increased insight and understanding of game development and game systems and how the combined effect of educational game design and the Game Lab method (working in teams) resulted in a more valuable learning outcome than they would have experienced alone. They also reported an improved understanding on how working with the development of a board game made them dig much deeper into the topic at hand. In addition, they found that this increased their motivation for learning, knowing that this was going to be a product that was to be tested and played by others (pupils and teachers). Furthermore, the participants highlighted the role of group dynamics in fostering teamwork and consensus during the collaborative game development process.

Decision tree insights analytics (DTIA) tool: an analytic framework to identify insights from large data records across fields of science

Abstract Supervised machine learning (SML) techniques have been developed since the 1960s. Most of their applications were oriented towards developing models capable of predicting numerical values or categorical output based on a set of input variables (input features). Recently, SML models’ interpretability and explainability were extensively studied to have confidence in the models’ decisions. In this work, we propose a new deployment method named Decision Tree Insights Analytics (DTIA) that shifts the purpose of using decision tree classification from having a model capable of differentiating the different categorical outputs based on the input features to systematically finding the associations between inputs and outputs. DTIA can reveal interesting areas in the feature space, leading to the development of research questions and the discovery of new associations that might have been overlooked earlier. We applied the method to three case studies: (1) nuclear reactor accident propagation, (2) single-cell RNA sequencing of Niemann-Pick disease type C1 in mice, and (3) bulk RNA sequencing for breast cancer staging in humans. The developed method provided insights into the first two. On the other hand, it showed some of the method’s limitations in the third case study. Finally, we presented how the DTIA’s insights are more agreeable with the abstract information gain calculations and provide more in-depth information that can help derive more profound physical meaning compared to the random forest’s feature importance attribute and K-means clustering for feature ranking.