Subjective Vision Research Articles

Re-inventing the Mythic West: From Anthropocene Disorientation to Eco-Aesthetic Entanglements in Nicholas Royle’s Mother: A Memoir (2020)

In his memoir about his mother entitled Mother: A Memoir (2020), Nicholas Royle notes that, for his family, the west is associated with securing better prospects. But heading west has nothing to do with emigration to the New World, it does not involve crossing any boundaries or oceans. It is instead about staying on familiar English soils and moving to the West Country. At the end of the memoir, Royle returns to this idiosyncratic yearning for the west, and, as this paper shows, he uses it as a point of departure that allows him to elaborate an Anthropocene poetics which unmoors any settled vision of subjectivity, spatiality, and temporality and which re-inscribes them into Anthropocene grounds. This paper argues that, in so doing, Royle rewrites the mythic west into a place of eco-aesthetic, multispecies entanglement.

DTFusion: Infrared and Visible Image Fusion Based on Dense Residual PConv-ConvNeXt and Texture-Contrast Compensation.

Infrared and visible image fusion aims to produce an informative fused image for the same scene by integrating the complementary information from two source images. Most deep-learning-based fusion networks utilize small kernel-size convolution to extract features from a local receptive field or design unlearnable fusion strategies to fuse features, which limits the feature representation capabilities and fusion performance of the network. Therefore, a novel end-to-end infrared and visible image fusion framework called DTFusion is proposed to address these problems. A residual PConv-ConvNeXt module (RPCM) and dense connections are introduced into the encoder network to efficiently extract features with larger receptive fields. In addition, a texture-contrast compensation module (TCCM) with gradient residuals and an attention mechanism is designed to compensate for the texture details and contrast of features. The fused features are reconstructed through four convolutional layers to generate a fused image with rich scene information. Experiments on public datasets show that DTFusion outperforms other state-of-the-art fusion methods in both subjective vision and objective metrics.

Contributions of queer theory to a political approach to corporeality in cultural psychology

Since the end of the 20th century, the Cartesian paradigm of identity has been the object of criticism, raised by different epistemological perspectives, including post-structuralism, feminism, constructionism, and philosophy of language studies. A common aspect of these new theoretical-epistemological perspectives is the search to overcome an idealistic, immaterial, vision of the psychological subject, emphasizing the concrete character of its subjective construction, and the anchoring of the whole process in corporeality. These new trends rediscover the body as a concept within the human and social sciences, especially, inspired by Michel Foucault’s work. In Psychology, although the body has recently become an object of increasing interest for different perspectives, a theoretical gap concerning its political dimension, the power forces that cross through corporeity is still observed. This article draws, then, on Queer Theory’s epistemological contributions to critical psychology and the construction of such a notion of embodied subjectivity within Cultural Semiotic Psychology, considering the sociocultural processes that operate in the construction of subjects. Additionally, we seek to provide arguments to refuse the understanding that social markers such as sex, gender, and race are mere variables associated with the human, and reinforce that subjects are constitutively sexed, gendered, and racialized.

Visual quality assessment and comparison of two multifocal scleral lens designs

PurposeTo analyze the visual quality of a new multifocal scleral lens with a customized decentred optic zone compared to a conventional design by measuring visual acuity, contrast sensitivity function, stereopsis, subjective vision and comfort after one month of wear. MethodsNineteen presbyopic subjects were fitted with two multifocal scleral lens designs: a conventional multifocal and a customized decentred optical zone design. All subjects wore both scleral lens designs for one month with a two-week washout period. The main variables evaluated included high and low-contrast visual acuity under photopic and mesopic light conditions, binocular defocus curves, contrast sensitivity function and a visual analogue scale (VAS) for subjective vision and comfort. ResultsComparing the two scleral lens designs, statistically significant differences in visual acuity were found, highlighting the improvement in more than one chart line (6 letters) for low contrast near tests under photopic light conditions with the decentred optics lens design. VAS questionnaire scores also showed a significant improvement in distance and overall subjective vision with the decentred optics lenses. Contrast sensitivity function showed an improvement with decentred multifocal lenses at all spatial frequencies measured, being statistically significant for 12 cycles per degree. No differences in stereoacuity were found. ConclusionMultifocal scleral lenses with a customized decentred optical zone proved to be a promising refractive correction in presbyopic subjects after one month of wear, offering good comfort and visual quality under photopic and mesopic light conditions.

From an Individual to an Intersubjective Perspective: Reflections for Foreign Language Acquisition

This study will present the results of neurobiological research, in the light of which an intersubjective vision of language learning takes shape. In the field of language teaching, synchronization of the right hemisphere between two brains in communication helps to shift the focus from an individual or subjective vision of learning onto an interpersonal and dynamic one. Therefore, after highlighting the neurobiological and interpersonal mechanisms inside communication in the first part of the article, an analysis of the edu-linguistic repercussions will follow, so that selected teaching strategies can activate more effective ways of working for language acquisition.

The influence of pupil diameter upon and subjective quality of vision following implantable collamer lens (ICL V4c) implantation: An observational study.

This study aimed to assess the change in pupil size and its influence on subjective quality of vision (QoV) in subjects with implanted collamer lenses (ICLs). This retrospective study assessed 53 participants (53 eyes) implanted with ICL (V4c) and categorized them into incremental groups according to pupil diameter. Preoperative and postoperative photopic and mesopic pupil diameter, uncorrected distance visual acuity (UDVA), and QoV questionnaire scores were assessed and compared. Postoperatively, at 3 months, UDVA was -0.10 ± 0.06 logarithm of the minimum angle of resolution (LogMAR), and mean QoV for day and night was 9.34 ± 0.76 and 8.58 ± 1.29, respectively. The mean mesopic and photopic pupil diameters were 6.59 ± 0.79 mm and 4.61 ± 0.74 mm, respectively. Photopic pupil diameter negatively correlated with "QoV day" (Rs = -0.413, P = .001), positively correlated with "haloes" (Rs = 0.568*, P < .001) and "blurred vision" (Rs = 0.243, P = .04) respectively. Mesopic pupil diameter negatively correlated with "QoV night" (Rs = -0.426, P = .001), positively correlated with "haloes" (Rs = 0.624*, P < .001), "starburst" (Rs = 0.233, P = .046) and "difficulty focusing" (Rs = 0.27, P = .025), respectively. Participants had excellent VA at 3-month follow-up. Photopic and mesonic pupil diameter negatively correlated with QoV day and QoV night scores, respectively. Pupil diameter was found to have a more significant effect on visual symptoms at night, and lower QoV due to larger pupil size was more noticeable at night. Further investigation is needed to explore the importance of pupil diameter and its impact on the QoV in ICL implanted patients.

Outcomes and Adverse Effects of Voretigene Neparvovec Treatment for Biallelic RPE65-Mediated Inherited Retinal Dystrophies in a Cohort of Patients from a Single Center.

Our study evaluated the morphological and functional outcomes, and the side effects, of voretigene neparvovec (VN) gene therapy for RPE65-mediated inherited retinal dystrophies (IRDs) in 12 eyes (six patients) at the Oxford Eye Hospital with a mean follow-up duration of 8.2 (range 1-12) months. All patients reported a subjective vision improvement 1 month after gene therapy. Best-corrected visual acuity (BCVA) remained stable (baseline: 1.28 (±0.71) vs. last follow-up: 1.46 (±0.60); p = 0.25). Average white Full-Field Stimulus Testing (FST) showed a trend towards improvement (baseline: -4.41 (±10.62) dB vs. last follow-up: -11.98 (±13.83) dB; p = 0.18). No changes in central retinal thickness or macular volume were observed. The side effects included mild intraocular inflammation (two eyes) and cataracts (four eyes). Retinal atrophy occurred in 10 eyes (eight mild, two severe) but did not impact FST measurements during the follow-up period. Increased intraocular pressure (IOP) was noted in three patients (six eyes); four eyes (two patients) required glaucoma surgery. The overall safety and effectiveness of VN treatment in our cohort align with previous VN clinical trials, except for the higher occurrence of retinal atrophy and increased IOP in our cohort. This suggests that raised IOP and retinal atrophy may be more common than previously reported.

In the Name of Sovereignty

Abstract In a post-9/11 world, the figure of the female suicide bomber has emerged as a contentious figure in global discourse. Through the character of Saraswathi, Nayomi Munaweera’s novel Island of a Thousand Mirrors (2012) foregrounds how the construction of this subaltern figure hinges on her susceptibility to rape. This relationship between rape and suicide bombing is deployed differently by the counterterrorist institutions that target her and the ethnonationalist movements that recruit her to make her speak as both victim and agent while silencing her. This article thus argues that we need to move away from the framework of victimhood and agency, which assumes subjectivity without accounting for how the body of the female subaltern is excluded from inhabiting subjecthood as a construct of bounded national sovereignty. Using Jasbir Puar’s theory of queer assemblage, the author explains how Saraswathi’s suicide bomber in ITM is constructed as a figure of antinormative subjectivity through a discourse of U.S. exceptionalism in opposition to a normative U.S. national identity and sovereignty. The author builds on Puar’s insights, which draw on affect theory, to rethink Saraswathi’s violent protest as a moment that destabilizes these normative identities and their related social scripts. The author further posits alternative visions of antinormative subjectivity in the novel that allow for Saraswathi’s survival after her rape.

Detection of Pig Movement and Aggression Using Deep Learning Approaches.

Motion and aggressive behaviors in pigs provide important information for the study of social hierarchies in pigs and can be used as a selection indicator for pig health and aggression parameters. However, relying only on visual observation or surveillance video to record the number of aggressive acts is time-consuming, labor-intensive, and lasts for only a short period of time. Manual observation is too short compared to the growth cycle of pigs, and complete recording is impractical in large farms. In addition, due to the complex process of assessing the intensity of pig aggression, manual recording is highly influenced by human subjective vision. In order to efficiently record pig motion and aggressive behaviors as parameters for breeding selection and behavioral studies, the videos and pictures were collected from typical commercial farms, with each unit including 8~20 pigs in 7~25 m2 space; they were bred in stable social groups and a video was set up to record the whole day's activities. We proposed a deep learning-based recognition method for detecting and recognizing the movement and aggressive behaviors of pigs by recording and annotating head-to-head tapping, head-to-body tapping, neck biting, body biting, and ear biting during fighting. The method uses an improved EMA-YOLOv8 model and a target tracking algorithm to assign a unique digital identity code to each pig, while efficiently recognizing and recording pig motion and aggressive behaviors and tracking them, thus providing statistics on the speed and duration of pig motion. On the test dataset, the average precision of the model was 96.4%, indicating that the model has high accuracy in detecting a pig's identity and its fighting behaviors. The model detection results were highly correlated with the manual recording results (R2 of 0.9804 and 0.9856, respectively), indicating that the method has high accuracy and effectiveness. In summary, the method realized the detection and identification of motion duration and aggressive behavior of pigs under natural conditions, and provided reliable data and technical support for the study of the social hierarchy of pigs and the selection of pig health and aggression phenotypes.

FDNet: An end-to-end fusion decomposition network for infrared and visible images.

Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals under extreme conditions. This capability is important for all-day climate detection and other tasks. However, most existing fusion methods for extracting features from infrared and visible images are based on convolutional neural networks (CNNs). These methods often fail to make full use of the salient objects and texture features in the raw image, leading to problems such as insufficient texture details and low contrast in the fused images. To this end, we propose an unsupervised end-to-end Fusion Decomposition Network (FDNet) for infrared and visible image fusion. Firstly, we construct a fusion network that extracts gradient and intensity information from raw images, using multi-scale layers, depthwise separable convolution, and improved convolution block attention module (I-CBAM). Secondly, as the FDNet network is based on the gradient and intensity information of the image for feature extraction, gradient and intensity loss are designed accordingly. Intensity loss adopts the improved Frobenius norm to adjust the weighing values between the fused image and the two raw to select more effective information. The gradient loss introduces an adaptive weight block that determines the optimized objective based on the richness of texture information at the pixel scale, ultimately guiding the fused image to generate more abundant texture information. Finally, we design a single and dual channel convolutional layer decomposition network, which keeps the decomposed image as possible with the input raw image, forcing the fused image to contain richer detail information. Compared with various other representative image fusion methods, our proposed method not only has good subjective vision, but also achieves advanced fusion performance in objective evaluation.

Robust multi-focus image fusion using focus property detection and deep image matting

Multi-focus image fusion techniques are designed to integrate the focused regions of multiple source images to produce an all-in-focus image. Unfortunately, the fusion results generated by existing methods are prone to suffer from chromatic aberrations and blurred boundary regions. In this paper, a multi-focus image fusion framework combining focus property detection and deep image matting is proposed to achieve high-quality fusion results. Specifically, we introduce spatial frequency detection blocks, which integrate the spatial frequency information of source images at different levels to achieve effective focus property detection for the initial decision. Then, the trimap acquired from the initial decision is optimized using a deep matting model so as to further detect the focused/defocused boundaries and obtain a more precise decision map. Meanwhile, a new hybrid loss function is introduced, and a large-scale dataset is created to improve the performance of the fusion framework. Finally, the fusion result is obtained by integrating the focused regions via the decision map. Compared to 18 other advanced fusion methods, the proposed method outperforms all of them in terms of the seven objective metrics evaluated on two publicly available datasets. These experimental results provide strong evidence that the proposed fusion framework excels not only in subjective vision but also in quantitative analysis. The code of the proposed method will be available at https://github.com/govenda/DIMF.

Obraz historii Polski (1818-1918) w komiksie Henryka Jerzego Chmielewskiego

Henryk Chmielewski is the author of a historical comic book devoted to the 100th anniversary of Poland regaining its independence. The comic book of Chmielewski is a subjective vision of Polish history, because every act of creation is first of all an act of destruction. Artist says about very difficoult moment of Polish history (the 19th century, the early 20th century). He creates original story, argues, that the idea of Poland as an independent state was never not lost. Polish people were formed armyduring the Napoleonic Wars, and Polish organisations started major uprisings (the Polish–Russian War of 1830–1831 and the January Uprising of 1863-64). Chmielewski creates an interesting picture of the world with the use of many varying forms, different codes (e.g. picture, word, photography). He use various means of expression: semantic, linguistic, compositional (see values, compotents: metannaration, digression, opposition "we" - "they", stereotype, appropriate words - freedom, Poland, Poles, relationship: fiction - real world, illusion, colloquial language).

Subjective vision assessment in companion dogs using dogVLQ demonstrates age-associated visual dysfunction.

Dim light vision as assessed by proxy and clinical tools is commonly impaired in older humans and impacts quality of life. Although proxy visual assessment tools have been developed for dogs, it is unclear if they are sensitive enough to detect subtle visual dysfunction in older dogs. We sought to determine if a newly designed proxy visual function questionnaire could detect age-associated differences in visual behaviors in varying lighting conditions in dogs. A 27-item questionnaire (the dog variable lighting questionnaire, dogVLQ) was designed to assess visual behavior in dogs in different lighting settings. We conducted the dogVLQ, a previously validated visual function questionnaire the dog vision impairment score and performed light- and dark-adapted electroretinography (ERG) on a subset of dogs. Questionnaire scores were analyzed for dog age associations using correlation analysis. Questionnaire responses from 235 dog owners were obtained (122 female, 112 male dogs), 79 of which underwent ERG (43 female, 36 male dogs). Bright light visual behavior was significantly associated with light-adapted bright flash ERG amplitudes, visual behavior in near darkness was associated with dark-adapted ERG amplitudes. The dogVLQ identified worse vision in older dogs in bright light, dim light, and darkness; predicted onset was younger for vision in near darkness. Older dogs had more difficulty navigating transitions between lighting conditions. Subjective dog owner assessment of visual function associates with objective measurement of retinal function in dogs and supports reduced vision-mediated behaviors in older dogs.

A fast image inpainting algorithm based on an adaptive scanning strategy

OBJECTIVES: In exemplar-based image inpainting algorithms, there are often issues with the calculation of patch similarity for matching, suboptimal strategies for selecting matching patches, and low inpainting speed.METHODS: This paper first uses the variable scale cross-scan block line progressive scan to solve the problem of slow scanning speed and invalid priority formula. Then, an improved weight similarity formula is used for searching to solve the problem of poor computing strategy for similar matching patches. The search range of matching patches gradually increases from small to large until globally searching for similar matching patches to improve the efficiency of inpainting. To further improve the correctness of matching patch selection, this paper uses six levels of priority matching criteria for screening.RESULTS: The experimental results show that the inpainting effect of the proposed method is significantly improved in subjective vision, and the structural similarity (SSIM), peak signal-to-noise ratio (PSNR), and inpainting speed of the inpainting results are all improved.CONCLUSION: For different types of images, the proposed method has a better inpainting effect and higher inpainting speed than the other three advanced methods.

Prospettive teoriche: le opere di Olafur Eliasson per un’arte ecologica

&#x0D; &#x0D; &#x0D; Beginning with the work of Olafur Eliasson, with particular reference to the recent exhibition “Trembling Horizons” but not limited to it, a number of works representative of an artistic vision that might be called eco-logical are analyzed. Not only by explicitly thematizing the issue of the environmental crisis, Eliasson's works seem to materially express the demands of theorists who question how art can actively respond to the need for a shift in outlook that characterizes current events. Starting from the idea of art as praxis, which allows the viewer to regard himself or herself and to place himself or herself in relation to what surrounds us – human and non-human – Eliasson's works act on the intrinsic objecthood of the work itself by creating a relationship with otherness and datity. They generate, therefore, a feeling of proximity, which concretizes a meaning of creativity in a transformative and site-specific sense; they promote an eco-logic that has its basis in a nomadic and depotentiated vision of subjectivity, engendering a feeling of interconnectedness and care. It will be argued in this paper the need to rethink art in these terms by hypothesizing a particular efficacy of some works that actively work in public space: places where the split between nature and culture has taken place, urban and public space are privileged contexts to actively promote the overcoming of this fracture and generate ethically responsible, already intrinsically ecological subjects.&#x0D; &#x0D; &#x0D;

The Legendary Vision in the Novel "The Alchemist" written by Paulo Coelho

Objective: This study aims to analyze Paulo Coelho's novel "The Alchemist" through the lens of a mythical vision dominating the narrative formation. It explores how the writer conveys his vision and ideas about a world shaped by the mythical interpretation of cosmic phenomena, where religions and social values do not hold ultimate authority. Instead, aspirations, dreams, and subjective visions play a significant role in explaining the universe and its manifestations.&#x0D; Methods: The study employs an analytical methodology, encompassing a comprehensive examination of the novel's text and interconnecting the significance and meanings within the interpretive dimension of the events, characters, time, and location depicted in the story.&#x0D; Results: The study found that a mythical vision guides the fictional work, leading to the realization of what Coelho refers to as "the personal legend" or "the Language of the Universe." It identifies Coelho's use of mythical dimensions and magical elements as means to achieve the novel's central goal, the pursuit of life's purpose. The study perceives this approach as distinctly mythical in nature.&#x0D; Conclusion: This novel offers rich content, inspiring readers to explore its deeper meanings and implications carried by the text and its narrative.

Moralitas Tindakan Ekonomi Pedagang Pasar Kamis Sungai Manau Kabupaten Merangin Provinsi Jambi

An understanding of morality as distinguished through legality is found in Kant's moral philosophy. Based on his knowledge, morality is the similarity of nature or behavior to inner provisions or laws, namely what Kant sees as "obligations". Morality is always fulfilled if we obey the law outwardly but because we are afraid of an impact of that law outwardly, but because we know that obeying the law is an obligation. In another part, Kant said that there are two parts of the principle that make human action, such as maxims (maxime) and objective rules. Maxims are teachings that are still running subjectively, which are based on subjective vision and form the basis for action. Despite having a mind, the human being as a subject is an imperfect person, and also has passions, emotions, tastes and so on. Basically (basic values) means that the economy is useful for helping economic implementers (in this case traders) will destroy problems (moral) in their economic practices. In general, the market is interpreted as a meeting place for buyers and sellers in carrying out trading activities. However, along with the increasingly dynamic human life, the form and meaning of the market will become broader. This study uses a qualitative descriptive research type, because it seeks to clarify phenomena or events, people, objects or processes that are relevant to the Morality of Economic Actions of Traders in the Thursday Market. The object of this research is traders in the Thursday River Manau market. This study uses primary data and secondary data. Data obtained by means of observation, interviews, and documentation. The results of this study are that traders on Thursday's market understand how to trade properly, in selling we should have to do a good method and it's better for us to avoid lies that can drown us in bad things in the future.

Clinical performance and Willingness To Pay for soft toric contact lenses in low and moderate astigmats

PurposeTo determine clinical performance and the ‘Willingness To Pay’ for toric vs. spherical soft contact lenses in an astigmatic population. MethodsIn the clinical study, subjects with binocular low to moderate astigmatism (-0.75DC to −1.50DC) wore pairs of soft toric (Biofinity toric) and spherical (Biofinity) contact lenses in random sequence. Visual acuity (high and low contrast, monocular and binocular), subjective comfort and subjective vision were recorded. In the economics study, first subjects who had participated in the clinical study were presented with a series of randomised economic scenarios in order to determine their Willingness To Pay a premium (i.e. an increase) for toric lenses. Then, a similar set of scenarios were presented to a much larger group of online respondents and again, Willingness To Pay was established. ResultsFor the four measures of visual acuity, the Biofinity toric lens out-performed the Biofinity spherical lens by 0.6 to 1.1 lines.. Subjective vision performance was statistically significantly better with the toric lens for the distance task only. Comfort scores were not significantly different. Similar findings for Willingness To Pay were established for the clinical subjects and for the online respondents. The Willingness To Pay premium (additional fee) for a monthly supply of toric lenses (over spherical lenses) was between £13 and £16, if a toric lens provides better vision and similar comfort, as shown in the clinical study. ConclusionConsumers are willing to pay a monthly premium of around 50% to benefit from the typical experience of better vision and similar comfort for toric vs. spherical lenses. The level of additional cost for toric lenses compared to their spherical equivalents is less than this in the market, so eye care professionals should consider that toric lenses are delivering a greater clinical return than anticipated by wearers for the relatively small increase in price.

Fabric defect detection using cartoon–texture image decomposition model and visual saliency method

Fabric defect detection is of great importance in the modern textile industry. In actual production, subjective factors usually affect manual detection, which is prone to problems such as false and missed detection. With the development of computer vision, a large number of fabric defect automatic detection algorithms have been proposed. Traditional algorithms rely too heavily on setting parameters manually, while deep learning algorithms have expensive training and computing costs. Given these limitations, a new fabric defect detection method based on the latest cartoon texture image decomposition model, visual saliency algorithm, and mathematical morphology, is proposed in this article. A digital image acquisition system is also designed and constructed. Therefore, the self-made dataset used in the experiment is composed of self-collected images and network public images. To further evaluate the performance of the proposed method, this study conducted fabric defect detection experiments and comparison experiments based on the self-made dataset. The results show that this method can successfully detect fabric defects, having high detection accuracy and efficiency. Combining subjective vision and objective evaluation, comparison experiments prove that this method is superior to other common fabric defect detection methods and has the highest value of accuracy and F1-score. This research provides a new method and technical support for fabric defect detection and other fields.

Visual Transformations of the Images of Dante Alighieri's Poem "The Divine Comedy: Hell" in European Art Practices

The purpose of the article is to reveal the specifics of transformation of visual language as the artistic reflection on Dante’s images in European art practices, in particular in graphic design. The research methodology requires a comprehensive approach and involves the use of methods of art analysis, an empirical method of gathering theoretical and historical material, a method of comparison and generalization. The research uses general scientific methods, in particular the analysis and systematization of scientific literature on the topic of investiga­tion. The historical-factual method was used to identify historical processes and factors that influenced the development of transformation of the visual language of illustration and other visual practices based on it. The scientific nov­elty is in conducting a comparative analysis of visual images based on the study of visualiza­tion of classical literature works. Interpretation of the images of this classic of world literature is given by a number of artists from Sandro Botticelli to Giovanni Tommasi Ferroni, as well as the presence of images of the “Divine Com­edy” in mass and pop cultures are considered: the popularization of Dante, the exploitation of his image in the mass market through graffiti, cartoons, visual novels, websites, profiles in so­cial networks, etc. Methods of adapting Dante’s stylistics for a modern viewer, accustomed to clip products, manifestations of distribution in the most popular social networks, have been determined. Conclusions. The research shows that the unique world of visual language in the illustration and design of book publications is transformed with the help of subjective artistic vision in order to maintain the interest of a mod­ern reader of the pre-classical heritage. As a re­sult of the research, we come to the conclusion that the popularization of the image of Dante in mass culture depends on the individual factor of the world perception of the artist as a cre­ative personality. World classical art becomes the basis for the emergence of new sources of author’s creative approaches to the visual rein­terpretation of the achievements of civilization. The process of transformation of the visual lan­guage of illustrations as components of graphic design ensures long-term support of the spread of images of the “Divine Comedy” not only in Dante Alighieri’s homeland, but also in the Euro­pean art landscape.