Graphical Techniques Research Articles

The Effects of Task-Based Learning and Graphic Organizer Techniques on the Developing Student Teacher Professional Competency in Listening and Speaking Skills

This study aims to evaluate the impact of task-based learning and graphic organizer techniques on enhancing student teacher professional competency in English listening and speaking skills. The study used a One-Group Pre-Test Post-Test Design, which involved 30 undergraduate math-major students in a Thai public university. Over eight weeks, the study group was instructed using teacher-prepared materials delivered through task-based learning and graphic organizer techniques. Pre- and post-tests were conducted to measure listening and speaking proficiency progression. In addition, the participants completed a self-evaluation form with professional competencies relating to listening and speaking before and after the study to measure the extent to which they have progressed. The results showed a significant improvement (p < 0.05) in listening and speaking proficiency, with learners advancing from beginner to independent user levels on the CEFR Global Scale. While most learners demonstrated substantial improvement, some showed moderate progress. This research emphasizes the potential of task-based learning and graphic organizer techniques as an effective method for tertiary-level undergraduate EFL student teachers. The findings offer valuable insights for designing and implementing language learning programs, emphasizing the importance of learner commitment and motivation. This study can serve as a practical guide for similar learner populations and provide implications for future language learning initiatives.

Promoting soft skills in higher engineering education: Assessment of the impact of a teaching methodology based on flipped learning, cooperative work and gamification

Abstract In the dynamic and complex environment of industrial engineering, soft skills have become fundamental elements to achieve professional success. This work analyzes (i) how industrial engineering students at the University of Valladolid in Spain perceive the effect of a teaching methodology (characterized by a sound and systematic integration of Information and Communication Technologies (ICT) in all phases of the teaching–learning process and based on the combination of Flipped Learning, cooperative work and gamification), on the development of their soft skills, and (ii) the relationship between this development of soft skills and academic performance. Voluntary surveys were applied to students of seven engineering degrees during four academic years. Data collected have been analyzed by means of graphical and statistical techniques to obtain a deep and rigorous understanding of the impact of teaching methodology. The results show a positive perception by students of the effect of teaching methodology. It is not only a motivating element that improves participation but, moreover, students perceive that it significantly contributes to the development and enhancement of skills such as communication, teamwork, problem solving, critical thinking and the effective use of ICT. In addition, the positive influence of these competencies on academic performance was evidenced. This work identifies several key aspects related to the results obtained: (i) the synergies achieved by combining Flipped Learning with cooperative work and gamification; (ii) the importance of face-to-face activities and encouraging students' active participation; (iii) the outstanding effect of the appropriate integration of ICT on the results; (iv) the adaptation of teaching to the needs of each group of students; and (v) the fundamental role of monitoring and continuous improvement of methodology as pillars to guarantee its long-term effectiveness and to overcome any challenges that may arise.

Portrait of Historical Figures in Engraving Graphic Printing Techniques as A Means of Visual Communication to Spread National Identity

The portrayal of historical figures through graphic print techniques plays an important role in spreading national identity. This technique involves slaughtering fine lines on metal plates that produce detailed images. Images produced with this technique can be found in banknotes, stamps, coins, and various educational media. The visual image not only strengthens respect for historical figures but also acts as a symbol of national identity. Grafir utilizes and strengthens the symbol of nationalism by including several elements of local culture, such as batik and flora motifs. In addition, graphir is also used as a security feature on money and official documents. The results of this study helped prove the perception that a strong graphir in creating a national symbol that is eternal, iconic, and easily recognized by all levels of society.

Robust Bayesian graphical regression models for assessing tumor heterogeneity in proteomic networks.

Graphical models are powerful tools to investigate complex dependency structures in high-throughput datasets. However, most existing graphical models make one of two canonical assumptions: (i) a homogeneous graph with a common network for all subjects or (ii) an assumption of normality, especially in the context of Gaussian graphical models. Both assumptions are restrictive and can fail to hold in certain applications such as proteomic networks in cancer. To this end, we propose an approach termed robust Bayesian graphical regression (rBGR) to estimate heterogeneous graphs for non-normally distributed data. rBGR is a flexible framework that accommodates non-normality through random marginal transformations and constructs covariate-dependent graphs to accommodate heterogeneity through graphical regression techniques. We formulate a new characterization of edge dependencies in such models called conditional sign independence with covariates, along with an efficient posterior sampling algorithm. In simulation studies, we demonstrate that rBGR outperforms existing graphical regression models for data generated under various levels of non-normality in both edge and covariate selection. We use rBGR to assess proteomic networks in lung and ovarian cancers to systematically investigate the effects of immunogenic heterogeneity within tumors. Our analyses reveal several important protein-protein interactions that are differentially associated with the immune cell abundance; some corroborate existing biological knowledge, whereas others are novel findings.

Development of agricultural insurance in Ukraine

Agricultural insurance in Ukraine remains underdeveloped, characterized by fragmented progress and significant reliance on state support, necessitating a systematic, research-based approach for its advancement. The study evaluates the sector’s development from 2014 to 2023, employing general scientific methods of cognition. Abstract and logical methods were applied to summarize results and formulate conclusions, while comparative analysis facilitated the assessment of key trends. Graphical techniques were employed to enhance the visualization of data obtained. A monographic approach was adopted to conduct an in-depth analysis of parametric insurance, complemented by a critical review of the legal framework to evaluate its influence on the sector’s development.The study reveals the limited scale of agricultural insurance relative to the agro-industrial sector’s growth, with only 3% of agricultural areas insured and agricultural insurance comprising 2% of insurers’ portfolios. The average claims payout rate is 50%, with reinsurance levels at 60%. The sector’s insurance products are categorized into two main types: classical and parametric. Parametric, index-based insurance demonstrates superior efficiency, achieving a claims ratio of 35% compared to 14% for classical models.External challenges, including the COVID-19 pandemic, regulatory changes, and Russia’s military aggression, have further impeded the sector’s progress. Despite these obstacles, the study identifies promising pathways for development. These include fostering social responsibility among stakeholders, integrating digital technologies, and implementing innovative approaches to insurance practices.The study underscores the necessity to address systemic inefficiencies, adopt tailored strategies, and align insurance practices with Ukraine’s agro-industrial sector’s unique needs to enhance resilience and promote sustainable development.

Three 3D graphics engineering technologies for fallow deer antlers characterization in ecology and management approaches

Numerous studies focus on creating 3D-models of biological elements for geometric evaluation using CAD tools. A crucial aspect is to obtain accurate geometrical data that is easy to obtain and cost-effective for analysis. The main objective is to evaluate the geometrical accuracy of 3D-models obtained with three graphical techniques of three-dimensional geometrical documentation that characterise the fallow deer antlers in an accurate 3D-model, which is used as input data in biological analyses estimating hunting quality, asymmetry and volume. Three technologies are evaluated: structured light scanning, multi-image photogrammetry (SfM), Structure from Motion, and spatial photogrammetric restitution using two photographs in a CAD system. The geometric accuracy of the 3D-models obtained and the deviation between relevant points of the antler structure, in the main beam, in the main tines and palm, are estimated. Subsequently, the suitability of each 3D-model is studied according to the type of biological application for which it is intended. Based on the results, solid and axial 3D-models, the applicability of the three techniques for the study of biological parameters such as hunting quality, asymmetry and volume is discussed. It concludes on the most appropriate procedure to define the digital characterisation of the antler, depending on the type of biological study to be carried out in order to obtain accurate results. Characterising a geometrically complex structure such as the fallow deer antler in a 3D-model quickly and accurately can help to quantify various biomarkers in populations of specimens, making it possible to infer internal and external influencing factors.

Additive Manufacturing of Personalized Brain-Computer Interface Headsets Reinforced by Scientific Visualization

Recently, a large attention has been attracted to the brain-computer human-machine interfaces (BCI) based on electroencephalography (EEG). This emerging technology allows touchless control over digital systems, in which the commands are based on human brain activity. In the ideal case, it means controlling the systems virtually by thoughts, but in reality, also simpler approaches are highly demanded like reacting to concentration, relaxation, or specific emotions. Modern BCIs are based on detecting so-called brain waves, the electromagnetic field oscillations induced by brain neurons. These waves are captured by electrodes either intruded into the brain or placed on top of the head. Obviously, placing electrodes on the head is more demanded for non-medical applications of BCI because it is absolutely harmless for the person. To achieve this, special headsets are needed which can be put on the head like a helmet and ensure the correct positions for the electrodes mounted on them. In this regard, wearing comfort and anatomical accuracy of headsets play an important role in ensuring both ergonomics and precision of BCI. This paper focuses on automation of the personalized EEG headset manufacturing for BCI. The technological chain is proposed and corresponding software tools are developed to foster the complete cycle of BCI headset production for a particular person. The production steps include 3D scanning of the head, interactive editing of the electrodes’ location system, and automatic generation of a collapsible head cap model with sockets for EEG electrodes optimized for 3D printing. The performance of the pipeline has been validated in practice. The accuracy of electrodes’ placement has been evaluated by comparison with the head cap from professional medical equipment and is established as sufficient for BCI. The headset model editing and customizing tools are powered with scientific visualization and cognitive graphics techniques to be friendly for a wide range of users including those with no dedicated IT skills.

Fetal gestational age prediction via shape descriptors of cortical development.

Gyrification is the intricate process through which the mammalian cerebral cortex develops its characteristic pattern of sulci and gyri. Monitoring gyrification provides valuable insights into brain development and identifies potential abnormalities at an early stage. This study analyzes the cortical structure in neurotypical and pathological (spina bifida) fetuses using various shape descriptors to shed light on the gyrification process during pregnancy. We compare morphometric properties encoded by commonly used scalar point-wise curvature-based signatures-such as mean curvature (H), Gaussian curvature (K), shape index (SI), and curvedness (C)-with multidimensional point-wise shape signatures, including spectral geometry processing methods like the Heat Kernel Signature (HKS) and Wave Kernel Signature (WKS), as well as the Signature of Histograms of Orientations (SHOT), which combines histogram and signature techniques. These latter signatures originate from computer graphics techniques and are rarely applied in the medical field. We propose a novel technique to derive a global descriptor from a given point-wise signature, obtaining GHKS, GWKS, and GSHOT. The extracted signatures are then evaluated using Support Vector Regression (SVR)-based algorithms to predict fetal gestational age (GA). GSHOT better encodes the GA to other global multidimensional point-wise shape signatures (GHKS, GWKS) and commonly used scalar point-wise curvature-based signatures (C, H, K, SI, FI), achieving a prediction R 2 of 0.89 and a mean absolute error of 6 days in neurotypical fetuses, and a R 2 of 0.64 and a mean absolute error of 10 days in pathological fetuses. GSHOT provides researchers with an advanced tool to capture more nuanced aspects of fetal brain development and, specifically, of the gyrification process.

Investigation of heat absorption or release in an ideal gases system

Abstract In this paper, the heat transfer mechanisms (absorption or release of heat) in an ideal gas system are investigated. The thermodynamic process is described using a pressure-volume diagram, and the relationship between pressure and volume is expressed as a quadratic equation with one variable. The methods employed include graphical analysis and computational techniques. The graphical method involves incorporating adiabatic lines as auxiliary references, while the computational method utilizes both the ideal gas law and the first law of thermodynamics for evaluation.

Geometric Constraint Programming (GCP) Implemented Through GeoGebra to Study/Design Planar Linkages

In the study and design of planar mechanisms, graphical techniques for solving kinematic analysis/synthesis and kinetostatics problems have regained interest due to the availability of advanced drawing tools (e.g., CAD software). These techniques offer a deeper physical understanding of a mechanism’s behavior, which can enhance a designer’s intuition and help students develop their skills. Geometric Constraint Programming (GCP) is the term used to describe this modern approach to implementing these techniques. GeoGebra is an open-source platform designed for the interactive learning and teaching of mathematics and related STEM disciplines. It offers an object-oriented programming language and a wide range of geometric tools that can be leveraged to implement GCP. This work presents a systematic technique for studying and designing planar linkages, based on Assur’s groups and GeoGebra’s tools. Although some kinematic analyses and syntheses of planar linkages using GeoGebra have been previously introduced, the proposed systematic approach is novel and could serve as a guide for implementing similar problem-solving methods in other graphical environments. Several case studies will be presented to illustrate this novel approach in detail.

Exploring the Nexus of Electric Vehicles, Environmental Health and Sustainability: A Comprehensive Bibliometric Review

This study analysed 636 papers from the Scopus database using bibliometric and graphical techniques to trace the evolving research on sustainability, environmental health (EH), and electric vehicles (EVs). Research patterns, notable authors, most contributing nations, associations, leading journals, and the most widely referenced publications were all noted. Although the top journals for EV policy research are Sustainability and Journal of Cleaner Production, Sovacool Bk is acknowledged as the most active contributor. The top two contributions are the USA and China, underscoring their vital roles in the creation of EVs and creative policies. The primary contributor to the field research is Tsinghua University. With the maximum citations, the study by Egbue (2012) in Energy Policy suggests a significant long-term influence. The study uses Bradford's Law to confirm that important research is concentrated in specific publications and Lotka's Law to analyse author productivity. The results indicate that certain authors are quite prolific, which are in line with Bradford's Law but not Lotka's Law. The seven thematic clusters that emerged were (a) "Sustainable transportation and policy," (b) "Sustainable mobility and energy," (c) "Environmental Impact and Circular Economy," (d) "Electric Vehicles Adoption and Climate Change," (e) "Battery and Lithium-Ion Technology," (f) "Shared and Connected Mobility," and (g) "Smart Grid and Vehicle-to-Grid Integration." Overall, the study highlights the importance of interdisciplinary EV research as well as the need for infrastructure, regulatory, and technology improvements to support sustainable EV adoption. By employing keyword co-occurrence analysis, the study offers academics and policymakers valuable information, establishing the framework for resolving problems and promoting innovation in the EV ecosystem.

A preliminary exploration of quantitative models for evaluating binocular visual perception impairments among patients diagnosed with stroke.

The objective of this study is to formulate and implement graded biological models pertaining to binocular visual perception function with the use of computer algorithms. We aim to quantitatively assess the location, severity, and degree of impairment in binocular visual perception among patients who have suffered stroke, thereby providing valuable insights into the repercussions of cerebral tissue damage on the visual system. To overcome the shortcomings of previous instruments used to assess binocular function in terms of stereoscopic effects and the challenges posed by physiological and psychological interference during examinations, this study optimized its approach by integrating polarized stereovision technology with computer graphic modeling techniques. This study employed computer models to assess binocular visual perception function in stroke patients. Computer models refer to psychophysical testing methods used to measure binocular visual perception function, including various assessment tasks such as recognizing inverted letters and assessing stereopsis during high-speed movements. The cross-into-circle test was used as a means to quantify perceptual eye position. Subsequently, the collected data was analyzed to assess the magnitude of impairment in binocular visual perception. The results of the study revealed a spectrum of binocular visual perception impairment among patients diagnosed with stroke, demonstrating discernible variations in the recognition of inverted letters and stereopsis across different movement speeds. Importantly, perceptual eye position measurements offered valuable insights into ocular misalignment. The computational models effectively quantified both the spatial distribution and severity of these identified impairments. Damage to brain tissue resulting from a stroke can give rise to notable impairments in binocular visual perception function. Graded biological models, formulated through computer algorithms, provide a systematic framework for the comprehensive evaluation and quantification of these impairments. The comprehension of the nature and extent of visual impairments observed in patients with stroke establishes a basis for the development of personalized visual perception learning methodologies. Based on such tailored approaches, we aim to facilitate the recovery of impaired visual function, thereby contributing to the broader objective of neural system rehabilitation.

Formation of biophilic design using graphic means

The article’s relevance lies in discussing the need for psycho-emotional ecological enhancement in the modern human living environment through biophilic design, which creates natural conditions familiar to humans through evolution using graphic means. This determination has led to the purpose of the study: to indicate the role of graphics in the formation of biophilic design to create a favourable emotional and psychological spatial environment. In the work process, general scientific research methods were employed: analysis and synthesis, semantic and comparative analysis, the analysis of scientific sources, the principle of determinism. The study’s main results argue for the importance of applying biophilic design, as it has a positive effect on the physical and psychological well-being of individuals and their activities. The approachesto forming biophilic design have been outlined, which can be implemented with the help of graphic design. In urbanised society, graphics have various tools to harness the potential of nature’s harmony for creating aesthetically and psychologically healthy architectural spaces. At the beginning of the 21st century, of intensive technological development, graphic techniques and methods rooted in drawing, painting, decorative and applied arts are being synthesisedwith digitaltechnologies, leading to new contemporary developments in the graphic design field. Within the biophilic design realm, these contribute to the individual’s psychological and physical comfort. The practical value of the work is that it highlights the synergy of various types of design to establish an optimal balance between the natural and artificial environments of human life, while also taking into account the level of development of information and visual technologies

An algorithm based on multi-branch feature cross fusion for archaeological illustration of murals

Archaeological illustration is a graphic recording technique that delineates the shape, structure, and ornamentation of cultural artifacts using lines, serving as vital material in archaeological work and scholarly research. Aiming at the problems of low line accuracy in the results of current mainstream image generation algorithms and interference caused by severe mural damage, this paper proposes a mural archaeological illustration generation algorithm based on multi-branch feature cross fusion (U2FGAN). The algorithm optimizes skip connections in U2Net through a channel attention mechanism, constructing a multi-branch generator consisting of a line extractor and an edge detector, which separately identify line features and edge information in artifact images before fusing them to generate accurate, high-resolution illustrations. Additionally, a multi-scale conditional discriminator is incorporated to guide the generator in outputting high-quality illustrations with clear details and intact structures. Experiments conducted on the Dunhuang mural illustration datasets demonstrate that compared to mainstream counterparts, U2FGAN reduced the Mean Absolute Error (MAE) by 10.8% to 26.2%, while also showing substantial improvements in Precision (by 9.8% to 32.3%), Fβ-Score (by 5.1% to 32%), and PSNR (by 0.4 to 2.2 dB). The experimental results show that the proposed method outperforms other mainstream algorithms in archaeological illustration generation.

A new virtual water qualimeter with a changeable broken linear pointer based on a quadrant circular constellation graph

ABSTRACT As water is a very important natural resource for humans and its quality is closely related to human health, water quality evaluation (WQE) is very important for the protection of human health, livelihoods, environment, and management of water. Although various WQE methods have been developed and used, a common drawback is that the methods lack visualization of the WQE results and require additional complicated graphical techniques. The Pointer meter is an analogue measuring device with a pointer indicating the measured value with its location. A constellation graph (CG) enables to map multi-dimensional data on a two-dimensional plane. By introducing the pointer meter and CG for WQE, this paper proposes a new visualized pointer meter-type virtual water qualimeter (VWQ-meter) based on a quadrant circular constellation graph (QCCG). It has a changeable broken linear pointer with variable lengths and shapes, while the traditional pointer meters have straight-line pointers with a fixed length and a straight-line shape. It evaluates the water quality not only quantitatively but also intuitively as in the pointer meters. To demonstrate its effectiveness, it is applied to one example of WQE. It could be widely applied to not only WQE but also various multi-criteria decision-making (MCDM) problems arising in water pollution evaluation, water resource management, water supply, and wastewater treatment.

Restricted Phase Space Thermodynamics of Nonlinear Electrodynamics-Anti-de Sitter Black Holes

Abstract We study the Restricted Phase Space Thermodynamics (RPST) of magnetically charged anti-de Sitter (AdS) black holes sourced by nonlinear electrodynamics (NED). The first law and the corresponding Euler relation are examined using the scaling properties. While the mass is homogeneous in the first order, the intensive variables are observed to follow zeroth-order homogeneity. We use numerical and graphical techniques to find the critical points of the various thermodynamic quantities. By utilizing the rescaling properties of the equation of states, we study the thermodynamic processes using different pairs of variables. From our analysis, we infer that although the RPST of the NED-AdS black hole resembles those of Reissner–Nordström-AdS, Kerr-AdS, and Kerr–Sen-AdS black holes in most of its aspects, hinting at a possible universality, there exists one particular $\mu -C$ process that differs in its behavior from its counterparts in earlier reported works.

Wind power plant site selection problem solution using GIS and resource assessment and analysis of wind energy potential by estimating Weibull distribution function for sustainable energy production: The case of Bitlis/Turkey

Wind energy, being a sustainable energy source, is a benign, dependable, limitless, and cost-effective source of energy. This study involved the creation of a wind power plant site selection map at a provincial scale using a GIS application. The map took into account both environmental risks and environmental criteria. A wind energy measurement station of the PCE-FWS 20 type, equipped with a touch screen, was installed in the Rahva campus of Bitlis Eren University. Over the course of one year, data on wind direction, wind speed, temperature, relative humidity, and air pressure were collected at 5-s intervals and averaged over 20-min periods. The purpose of this study was to assess the suitability of the measured region for wind energy potential. A comprehensive statistical analysis was conducted using all the data collected during this period to assess the wind energy potential in the studied region. The Weibull distribution was employed to analyse the wind energy potential of this particular region. We employed graphical techniques to ascertain the Weibull distribution. The wind data analysis and simulation were conducted using the Matlab application. Analysed were the monthly statistical wind energy potential of the region, wherein the average wind speed and power density values were determined and presented through graphs at 20-min intervals. Upon analyzing the map generated using the Geographical Information Systems (GIS) technique, it has been ascertained that Bitlis Eren University Rahva campus is located in favorable areas.

Paper Crystallisations

Abstract This essay investigates the graphical and diagrammatic techniques the Dutch mathematician and natural philosopher Christiaan Huygens (1629–1695) employs in his meteorological investigations. A distinction is discerned between Huygens’ drawings of crystalline structures under the microscope, and his hypothetical modelling of different types of atmospheric light-refracting bodies. It is demonstrated, however, that both domains of inquiry are intricately connected through Huygens’ longstanding interest in “wondrous” light refraction phenomena in the atmosphere, such as solar halos and parhelia.

Assessing sources of groundwater quality and health risks using graphical, multivariate, and index techniques from a part of Rajasthan, India

Groundwater provides sustainable potable water in developing countries like India. However, contaminated groundwater directly affects human health. The United Nation policy is to provide clean water for all by 2030. Therefore, groundwater samples collected from a part of Rajasthan, India were analysed for chemical parameters to identify the sources of groundwater quality variation and associated health risks. To achieve this objective, a comprehensive approach of entropy water quality index (EWQI), Piper and Gibbs diagrams, ionic ratios (IR), synthetic pollution index (SPI), principal component analysis (PCA), and non-carcinogenic health risk (NHR) methods were used. EWQI revealed that groundwater quality is not fit for drinking in 81.86% of the area due to higher TDS, Na+, Cl−, SO42−, NO3−, and F− contents, which was statistically significant by ANOVA test. Modified Piper's diagram identified Ca2+ - HCO3−, Ca2+ - Cl−, Na+- Cl−, and Na+ - HCO3− types in 36.67%, 22.73%, 13.64%, and 27.27% of groundwater samples, respectively. Gibbs diagrams illustrated that 59.09% and 40.81% of groundwater samples fell in the rock and evaporation domains, respectively. IR demonstrated that geogenic processes (mineral dissolution, ion exchange, and evaporation) and anthropogenic activities cause groundwater quality degradation. PCA indicated that PC1 has high loadings of TDS, Mg2+, Na+, Cl−, and SO42−, PC2 shows high loadings of pH and F−, and PC3 represents high loadings of NO3−, K+, and HCO3−, which was further supported by t-test analysis. SPI revealed that 99.82% of the study area is polluted. NHR values (0.03 to 1.68, 0.02 to 1.29, and 0.03 to 1.30 for children, women, and men, respectively) showed that long-term exposure to NO3− and F−-containing drinking water poses a higher health risk to children compared to men and women. Regular water quality monitoring, sanitation facilities, limited application of agrochemicals, etc. were suggested. Such a study would aid environmental public health programs.

Oleksandr Ivakhnenko and Oleksandr Danchenko are the Illustrators of Oleksandr Dovzhenko

The article is dedicated to the illustrations of the prominent Ukrainian graphic artists Oleksandr Ivakhnenko and Oleksandr Danchenko for the prose of Oleksandr Dovzhenko, as well as the issue of the existence of auto-illustrations by the filmmaker himself. Oleksandr Dovzhenko (also known as Alexander Dovzhenko) is not only a world-renowned filmmaker but also an outstanding artist – a painter and a graphic artist. Besides his painted portraits and thematic paintings, graphic caricatures, cartoons, and portraits, his drawings for films («Arsenal» – late 1920s, «Shchors» – late 1930s, «Michurin» – 1940s, «Poem on the Sea» – 1950s) are well-known. However, the topic “O. Dovzhenko is the Illustrator of His Own Literary Works” has hardly been explored by researchers of the master’s heritage, although the drawing Little Sashko which is both a portrait of the author in childhood and an image of the hero of the film story The Enchanted Desna, inspires further archival search in the filmmaker archives. V. Yevdokymenko (1967), M. Kompanets (1973), V. Yefymenko (1976), T. Kushch (2006), and others are among the illustrators of O. Dovzhenko’s prose. Oleksandr Ivakhnenko’s etchings for the film story The Enchanted Desna (1975–1976) have become a notable phenomenon in Ukrainian graphics during the period of the so-called “silent protest” (the 1970s–1980s). Having chosen a favourite graphic technique of that period, the artist, however, remained indifferent to the extremely popular “de-booking” technique of the 1970s–1980s. The Enchanted Desna is a book that is well-thought-out and coherent. In terms of space, the illustrations occupy as much space on the page as the printed text, and in shape, they are very elongated horizontally, thus creating a kind of pictorial “film strip”, logical and natural for a “film story”. Oleksandr Danchenko’s cycle of etchings for the collection of stories Unforgettable. 1941–1943 (1980) is another example. The artist has addressed frequently the theme of World War II tragedy (Koriukivka. March 1, 1943 (1971), Adzhimushkai (1985), a cycle of illustrations for O. Honchar’s novel Standard-Bearers (1989)). At the same time, his illustrations for O. Dovzhenko’s stories are internally connected with O. Danchenko’s series The Liberation War of the Ukrainian People of 1648–1654 (1954) and Chornobyl (1988–1990), as well as with the etchings for Dante Alighieri’s Divine Comedy (1990–1992). All these works are based on the combination of documentary with epic, where elevation and poeticism arise precisely as a result of such a combination. The construction of the illustration as a frame, sometimes even a freeze-frame, is an artistic tribute to the creativity of the outstanding filmmaker.