Attractive Research Articles

Integrating visual language with architecture: Using VAS software to measure the coherence of pre-attentive vision

Visual language has evolved as a result of technological development over ages. The pre-attentive visual software (VAS) is a biometric technique that is used to simulate human eye movement, gaze sequence, and visual appeal at the first (3-5) seconds of responding. Hence, the pre-attentive response is the first objective phase that is shared by all. The second phase of human responses is related to the perception stage depending upon personal and subjective preferences. Post-perception represents the third phase of responding after evaluation and judgment. While the Gestalt theory focuses on the perception phase, we find that the (15) properties of wholeness for Christopher Alexander deal with the post-perception phase. It is claimed that pre-attentive vision, produced by (VAS), is the actual way to perceive the coherent whole. The experimental approach of testifying different, but unified and neutralized, images of residential facades by (VAS) shows that architectural elements and their visual relations act as a coherent whole that attract our attention. The research goals are: promote the idea of objective pre-attentive vision and its attractiveness. also It is a trail to predict the coherence of designs. Accordingly, it is suggested to use (VAS) as a sensitive, detective and reliable tool in architectural design, artificial intelligence, neurosciences technology, plastic surgeries… Further investigations in the field of architecture are recommended to develop a new language of visual structures.

Utilizing website for analytical and inorganic Chemistry laboratory services

Improving the quality of laboratory services in the Industrial Revolution 4.0 era, one of which is by utilizing information and communication technology or in this study it is called digitization. Digitization is the process of converting information available on paper to a digital format, digitization can be in the form of a website. Utilization of this website will make it easier for students to access the information needed quickly and easily. So far, inventories in analytical and inorganic chemistry laboratories have only been carried out by entering data in a book, and only some of the data has been entered into a simple Excel so it is too complicated and the risk of losing files is very large. Therefore, the use of a centralized website system needs to be done. This study intends to identify the stages involved in creating a website dedicated to the Laboratory of Analytical and Inorganic Chemistry within the Chemistry Department, Faculty of Mathematics and Natural Science at Universitas Negeri Surabaya. Additionally, it aims to assess user reactions to the website. The research methodology employed is the 4D approach, encompassing the Define, Design, Develop, and Disseminate phases. The initiation of the website design process entails the incorporation of various features to enhance its visual appeal. These elements are then used as a basis for coding both the website’s menu and content.

Use of artificial intelligence in the organization of scientific research

Artificial intelligence is a powerful and revolutionary field that has the potential to change many areas of human activity fundamentally, including the process of scientific research. At the heart of AI is the idea of creating machines that can think and reason like humans, and can learn from their own experiences to improve their performance over time. The article analyzes the main possibilities of using artificial intelligence in conducting scientific research. The scientific process has many stages and it is expected that artificial intelligence will contribute to each stage of the development of science, therefore the use of artificial intelligence in the organization of scientific research is highly relevant. The article provides a review from various perspectives, including the idea of generating, writing and structuring the text, searching and in-depth analysis of the literature on the research topic. Recommendations are provided for the use of programs that function on the basis of AI technologies, which can significantly increase the level of productivity during scientific research. Their use is possible at the stage of searching, analyzing and summarizing scientific works, when checking grammatical and linguistic errors in scientific work and for the purpose of improving the writing style in general. In addition, the article considers the potential threats of introducing. AI can help integrate graphs, tables, charts into research content, thereby greatly increasing its visual appeal and comprehensibility. In addition, the article considers the potential threats of introducing AI into scientific research and emphasizes the need to observe academic integrity and minimize the use of artificial intelligence in scientific work. Excessive use of artificial intelligence can lead to the creation of fraudulent scientific papers.

Assessing the Influence of Product Page Design on Purchasing Influence of Products in Online Marketplaces

In the era of e-commerce, online marketplaces have become indispensable platforms for businesses to reach a global audience. This study investigates the impact of product page design on purchasing influence within online marketplaces, focusing on the relationship between key design elements and consumer behavior. The research addresses a gap in understanding how layout, visual appeal, and the strategic placement of elements affect purchase intent and behavior. Employing a quantitative research design, the study sampled 186 online market consumers within Nairobi County in Kenya, across six major e-commerce platforms, including Amazon, Jumia, and Alibaba. Data were collected through structured questionnaires and analyzed using descriptive and inferential statistics. Key findings indicate that visually appealing designs, clear product information, and well-positioned call-to-action buttons significantly enhance user engagement and purchasing decisions. The study concludes with recommendations for optimizing online product pages to increase sales and reduce cart abandonment rates. Ethical considerations were adhered to throughout the research, ensuring participant confidentiality and data integrity. This research highlights the need for e-commerce platforms to prioritize user-centric design strategies that align with consumer preferences, driving better engagement and conversion rates.

LSTM and Word Embedding: Classification and Prediction of Puskesmas Reviews Via Twitter

Puskesmas is a location for top-notch volunteer work that benefits the village and city governments alike. Therefore, patient feedback regarding the kinds of services offered by the community health center is required in an attempt to improve the quality service performance. Patient opinions can be expressed through reviews or opinions about the quality of patient care on social media sites like Facebook, Instagram, Twitter, WhatsApp, and Instagram. On the other hand, thoughts shared on social media are lengthy, unstructured texts. This complicates text analysis and makes it impossible to compare the caliber of services offered by Puskesmas managers. Furthermore, a number of Community Health Centers lack websites that allow users to rank Community Health Centers according to user interest and visual appeal and efficiency in operations. Thus, the purpose of this study is to classify and present sentiment analysis from Twitter about community health centers' health services. The scope focuses on five factors: administrative services, finances, mechanisms, health worker friendliness and skills, and administrative services. The LSTM word embedding model and the adadelta and adamax optimizers are used in word embedding for text mining. A confusion matrix was used to evaluate the developed model's degree of accuracy in categorizing and forecasting patient reviews. Results from the LSTM and Adamax models with a precision level of 76%, Recall 69% and Accuracy 71%. The results of this research show that the LSTM method and Adamax optimizer can classify and predict public opinion data about Puskesmas services via Twitter quite well. A high level of accuracy is very important to ensure that community opinions can be properly identified by the model, so that it can support the decision-making process in improving the type of Puskesmas services. To improve the model, further studies can be conducted on how to select parameters, select features, and create a quality dataset.

А Database of 126 Images of Everyday Objects Standardized for Visual Attractiveness (BOSS Extension)

Experimental studies in psychology and cognitive neuroscience often employ images of everyday objects as experimental stimuli. To ensure consistency and reliability across such studies, stimulus sets need to be subjected to rigorous standardization procedures leading to the creation of extensive databases that contain a wide range of detailed information regarding various properties of the depicted materials. However, while existing databases are highly effective at capturing many object attributes, they often fail to account for the aesthetic qualities that are intrinsic to human-designed objects. There is an increasing body of evidence that suggests compelling links between aesthetic perception and a range of cognitive function encompassing, for instance, motor skills, decision-making processes and even consumer behavior. Therefore, the lack of standardized visual stimuli with controlled aesthetic properties represents a significant challenge for research. To address this gap, the present study introduces a novel set of 126 images of everyday objects (based on the BOSS database) that were evaluated by healthy adult participants (N=53) in terms of their visual appeal as well as other key standardization parameters (e.g., familiarity, visual complexity, and naming consistency). Each object is presented in three distinct conditions: neat/tidy, neutral, and untidy. As the rating data demonstrate, these three conditions closely correspond to varying levels of aesthetic visual attractiveness, ranging from highly appealing (neat) to moderately appealing (neutral) to objects with minimal aesthetic appeal (untidy). This set is designed to serve as a valuable tool for researchers investigating the intricate relationship between aesthetics and human-object interaction.

Analysis of the application of 3D technology in digital media art animation design

Abstract The animation market is experiencing significant growth and diversification, with an expanding audience base and increasingly sophisticated aesthetic demands. This paper presents the development of a digital media art animation design system, leveraging four pivotal 3D technologies: mesh space deformation, 3D coordinate transformation, keyframe interpolation, and model collision detection. The system is enhanced with modules for scene editing, particle systems, and animation editing, which decompose the intricate special effects design of digital media art animations into manageable, editable components that offer real-time feedback. Furthermore, the system’s rendering capabilities and the animation design’s visual appeal were subjected to empirical evaluation. The findings indicate that within a 3D technology framework, the animation designs achieved average scores of 7.4371, 6.4720, and 7.0155 for recognizability, fidelity to the intended design, and overall impression, respectively, fulfilling the anticipated outcomes. Additionally, the animations produced are highly scalable and can be rendered swiftly and efficiently across diverse platforms. This study provides valuable insights for enhancing the effective deployment of 3D technologies in digital media art and animation design.

Impact of Website Stimuli on Online Impulse Buying: A Quantitative Analysis

Understanding the factors that influence consumers to buy impulsively in an online context has become increasingly important to businesses nowadays in order to help them stay competitive in the intensively competitive e-commerce market. Though existing literature has demonstrated how a website can improve the shopping experience and influence online shoppers to buy impulsively, the focus is more on design and quality dimensions such as visual appeal, website navigability, ease of use, etc. A more detailed analysis of how the advanced technology-supported website stimuli like recommender system, information search, customer services, and privacy & data security influence the consumer shopping experience and impulse buying behavior is still needed. Based on a Stimulus-Organism-Response model’s conceptual framework and 403 valid respondents collected via an online questionnaire, this study aims to identify and explore the influence of advanced technology-supported website stimuli on customer satisfaction and online impulse buying behavior in the Malaysian context. The results showed that the recommender system, information search, and customer service had a significant influence on customer satisfaction, and the latter significantly impacted online impulse buying behavior.

AI-Generated Virtual Hosts as a Cost-Effective Solution for Small-Scale Event Hosting

The rise of artificial intelligence (AI) has transformed various industries, including event hosting, where AI-generated virtual hosts are emerging as a cost-effective alternative to human hosts. While much research focuses on the technical aspects of these virtual hosts or their application in large-scale events like news broadcasting, there has been little exploration in the context of smaller, budget-constrained events. This study addresses that gap by presenting a practical framework for implementing AI-generated virtual hosts in small-scale events with clear and straightforward agendas. The framework is designed to be accessible to non-technical users and offers a low-cost solution for event organizers. A user study was conducted to assess the public’s acceptance of AI-generated virtual hosts, evaluating dimensions such as linguistic proficiency, emotional expression, interactivity, entertainment value, professionalism, and image. The results showed general satisfaction with the host’s linguistic proficiency and visual appeal, though interactivity and emotional expressiveness were noted as areas for improvement. These findings suggest that AI-generated virtual hosts are a viable, affordable alternative for small events, particularly those with minimal real-time interaction requirements.

AI-powered Hyperrealism: Next Step in Cinematic Rendering?

Background Recent advancements in artificial intelligence (AI)-powered image generation present opportunities to enhance three-dimensional medical images. Diffusion, an iterative denoising process, represents the standard of many of the current tools used for this purpose. Purpose To demonstrate the current capabilities of diffusion technology by using Midjourney, version 5.2, a text-to-image generative AI tool, and present a practical guide for its use. Materials and Methods This exploratory study investigates the principles, parameters, and prompt engineering techniques for generating images focusing on Midjourney from July 27 to August 3, 2023. Step-by-step instructions show the innate capability of this technology in creating realistic medical images. Results Thirty images were selected, including eye, skin, and vascular aneurysm images. Varying prompt phrasing and weighting techniques allowed for the customization of output image characteristics. Although the details of Midjourney's model training are confidential, it is estimated that it was trained on at least hundreds of millions of images from the web. Anatomic fidelity was not always maintained because the training data set is not necessarily based on accurate medical images. There are shortcomings in this nascent technology regarding its ability to create entities such as digits of the hand or precise text. Conclusion AI image generation has the potential to improve three-dimensional medical images for certain applications through added visual detail and appeal but ongoing collaboration is needed between radiologists and AI developers due to the overreliance on art and photography in the training data, which may result in inaccurate anatomic results. Moreover, the evolving landscape of ethical discussions and copyright stipulations warrants close attention. © RSNA, 2024 Supplemental material is available for this article.

Analysis of the application effect of ecological adaptability concept in rural landscape design based on TACSI-IPA evaluation

Abstract In this research, we apply the innovative TACSI-IPA system to study how ecological adaptability can transform rural landscape design, focusing on elevating design excellence and customer contentment. We innovatively blend the TACSI model—centered on capturing tourist attraction nuances—with a sophisticated latent variable approach for a deeper dive into customer satisfaction metrics. The introduction of IPA analysis allows us to intricately map out tourists’ satisfaction levels and interests, leading to more targeted evaluation outcomes. Our practical work in Zhangzhou Wuqiao Village has shown remarkable improvements in the appreciation of both its natural and crafted landscapes. Specifically, the plant and water landscapes achieved coordination scores of 2.25 and 4.46, respectively, with the crafted amenity landscape receiving widespread acclaim and an impressive satisfaction average above 4. A comparative lens against traditional villages underscores Wuqiao Village’s standout visual appeal.

Fibonacci sequences and the aesthetics of nature’s forms in modern design

Abstract This study conducts a comprehensive examination of the Fibonacci sequence’s mathematical model and its integration into contemporary design frameworks. It delineates the morphological aesthetic principles inherent in modern design, accentuating the visual aesthetic attributes governed by the Fibonacci sequence. The investigation further delves into color and contrast as principal aesthetic elements influenced by this sequence. The paper provides a brief analysis of the Fibonacci sequence’s impact on artistic and design practices across Eastern and Western cultures, introducing a concept of art and design communication. A least-squares measurement model is constructed to assess the impact of digital development and communicative elements on public receptivity towards design works that incorporate the Fibonacci sequence. Selected modern sofa designs based on the Fibonacci sequence serve as the focal point of this research, examining market reception and consumer preferences for the embedded mathematical aesthetics. The findings reveal a marked preference for monochromatic sofa upholstery in both Eastern and Western regions, underscoring a significant consistency. This preference suggests that the integration of Fibonacci-based mathematical aesthetics into modern product design is not only viable but also enhances the visual appeal and color coordination of the products.

Assessment of Family Medicine Obstetrics Fellowship Websites in the United States: Content and Usability.

The United States is experiencing maternity care shortages. Family physicians can play a role in addressing these shortages. Family medicine obstetrics fellowships train family physicians in obstetrics care. Fellowship websites are important for promoting programs and attracting applicants. However, whether websites provide sufficient program information is unknown. This study aimed to assess completeness and utility of family medicine obstetrics fellowship websites across the United States. The study analyzed 46 family medicine obstetrics fellowship websites. The component analysis evaluated the presence of 17 components related to orientation, curriculum, program, personnel, and additional content. The qualitative analysis included ratings for navigation and application, information quality, and esthetics. Analysis included percentages for websites and components and average qualitative ratings. Common components included overviews, training requirements, and contact information. Description of the patient population was the least common component. Usability ratings varied across programs, with higher ratings observed for navigation and application, and information quality. Esthetics and visual appeal received lower ratings. Regional analysis indicated that websites from fellowships in the West and Southwest tended to include more components compared to those in the Southeast. Family medicine obstetrics fellowship websites serve as valuable sources of program information for prospective applicants. However, not all websites include essential program details. Some information is rarely provided. Given the shortage of maternity care providers, it is crucial to develop informative and functional websites to attract applicants. Improving website content and design could prove to be a cost-effective strategy to increase the number of applicants.

Exploring the Thinking Transformation and Development of Graphic Design in Mobile Digital Media

Abstract The transition of graphic design from traditional print to mobile digital media has revolutionized the technology and the creative process. This evolution demands designers adapt their strategies to meet the challenges of smaller screens and varied user behaviors. This study explores how graphic design has transformed the mobile digital era, emphasizing the shift towards user interaction and visual communication efficiency. An empirical analysis of hundreds of designs reveals that innovative design methods significantly outperform traditional ones, increasing user engagement and communication effectiveness by 30% and 50%, respectively. The findings underscore graphic designers’ need to evolve their thinking and methodologies, enhancing interactivity and visual appeal to thrive in the mobile digital landscape.

Total phenolic content and antioxidant properties of hydrophobic compounds edible coating Spirulina snack bar

Snack bars, known for their convenience and easy consumption, amalgamate various ingredients such as cereals, fruits, and nuts. Their portable and on-the-go nature makes them a favored choice for individuals engaged in various activities. The integration of natural additives, such as Spirulina platensis, to elevate the nutritional profile of snack bars represents a novel and ambitious initiative. This study delves into the innovative realm of edible coating for spirulina snack bars using maltodextrin and gelatin. The investigation explores the correlation between total phenol content and antioxidant activity through the FRAP method, employing two solvents, methanol, and n-hexane. Results demonstrate that varying concentrations of edible coating significantly enhance the appearance and texture of Spirulina Snack Bars (SSB). Notably, the SSB coated with 6% maltodextrin and 1% gelatin exhibits superior visual appeal and a firmer texture compared to its counterpart coated with 3% maltodextrin and 1% gelatin. Moreover, the n-hexane extract showcases higher antioxidant activity (19.971 mg/g) than the methanol extract (16.400 mg/g). This study underscores the effectiveness of n-hexane-based edible coatings in elevating the antioxidant potential and total phenol content of spirulina snack bars, offering essential insights for the development of functional foods with enhanced nutrition and prolonged shelf life.

Lesser‐Explored Edible Flowers as a Choice of Phytochemical Sources for Food Applications

Flowers have been commonly used in cooking to add color and flavor to dishes. In addition to enhancing the visual appeal of food, many edible flowers also contain bioactive compounds that promote good health. These compounds include antimicrobial, antihypertensive, nephroprotective, antiulcer, and anticancer agents. In the last 5 years, there have been 95 published reviews about edible flowers. Among these, 43% have concentrated on Food Science and Technology, while 32% have analyzed their effects on human health. Most of these edible flowers are commonly consumed, but some are less known due to limited distribution or seasonality. These lesser‐explored flowers often contain compounds that offer significant health advantages. Therefore, this review focuses on exploring the characteristics, phytochemical composition, and bioactive compounds found in less commonly examined edible flowers. The flowers included in this review are peonies, forget‐me‐nots, frangipani, alpine roses, wild roses, hibiscus species, common lilacs, woodland geraniums, camellias, Aztec marigolds, kiri flowers, sunflowers, yucca flower, hollyhocks, and cornflowers. Due to their diverse biological activities, these flowers provide various health benefits and can be used to be incorporated into food and supplements or develop mainly cancer‐fighting medications.

Transformer-Based Graph Neural Networks for Outfit Generation

Suggesting complementary clothing items to compose an outfit is a process of emerging interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous works have mainly focused on recommendation by scoring visual appeal and representing garments as ordered sequences or as collections of pairwise-compatible items. This limits the full usage of relations among clothes. We attempt to bridge the gap between outfit recommendation and generation by leveraging a graph-based representation of items in a collection. The work carried out in this paper, tries to build a bridge between outfit recommendation and generation, by discovering new appealing outfits starting from a collection of pre-existing ones. We propose a transformer-based architecture, named TGNN, which exploits multi-headed self attention to capture relations between clothing items in a graph as a message passing step in Convolutional Graph Neural Networks. Specifically, starting from a seed, i.e. one or more garments, outfit generation is performed by iteratively choosing the garment that is most compatible with the previously chosen ones. Extensive experimentations are conducted with two different datasets, demonstrating the capability of the model to perform seeded outfit generation as well as obtaining state of the art results on compatibility estimation tasks.

Advances in Postharvest Management of Cherry Tomato

The cherry tomato (Lycopersicon esculentum) stands as a highly consumed fresh vegetable globally, renowned for its climacteric ripening nature and nutritional richness. Despite its popularity, the inherent challenges of a short shelf life, susceptibility to microbial decay, and mechanical damage contribute to significant postharvest losses. The continuous demand for fresh fruit vegetables containing health-promoting compounds, such as vitamin C, flavonoids, and carotenoids, has fuelled market growth due to both recognized health benefits and vibrant visual appeal. The current review delves into postharvest handling practices crucial for maintaining cherry tomato quality and extending shelf life. Key practices include harvesting, precooling, cleaning, disinfecting, sorting, grading, packaging, storing, and transportation and the advancement in this field. The impact of these practices on the overall postharvest mass loss, particularly in tropical and subtropical climates, is emphasized, with a focus on mitigating biotic and abiotic stresses. The study reviews a spectrum of postharvest technologies for postharvest management of cherry tomato encompassing both physical and chemical treatments. Physical treatments include LowTemperature Conditioning, Controlled Atmosphere (CA), Modified Atmosphere Packaging (MAP), Encapsulation and Ultraviolet Irradiation. Chemical treatments involve Edible Coating, melatonin, salicylates and jasmonate, polyamines, and various other chemical substances. Both physical and chemical treatments facilitate controlled gas diffusion, establishing equilibrium between external and internal gases, enhancing shelf life, and preserving quality. In conclusion, this study provides valuable insights into postharvest management practices and innovative technologies, addressing challenges associated with postharvest management in cherry tomatoes.

An Immersive and Interactive VR Dataset to Elicit Emotions.

Images and videos are widely used to elicit emotions; however, their visual appeal differs from real-world experiences. With virtual reality becoming more realistic, immersive, and interactive, we envision virtual environments to elicit emotions effectively, rapidly, and with high ecological validity. This work presents the first interactive virtual reality dataset to elicit emotions. We created five interactive virtual environments based on corresponding validated 360° videos and validated their effectiveness with 160 participants. Our results show that our virtual environments successfully elicit targeted emotions. Compared with the existing methods using images or videos, our dataset allows virtual reality researchers and practitioners to integrate their designs effectively with emotion elicitation settings in an immersive and interactive way.

Роль бренд-менеджменту у формуванні іміджу України як бізнес-партнера: вплив на міжнародне сприйняття

The aim of the article is to study the role and significance of brand management as the basis for the development of State values in the market. In modern marketing and in the conditions of competition in the market, topical issues are the development of the brand as an important marketing tool that plays a leading role for companies and the State in general in the Ukrainian and international markets. The visual appeal of products and services makes a primary impression on consumers, and therefore the priorities of the brand development strategy are obvious. Understanding the terms «brand» and «brand management» allows you to effectively apply these marketing tools in practice. In the new global digital economy, brands, in cooperation with management, make up a large part of the value of the company itself and a significant source of income. The brand is a challenge of the present and the future and is a mechanism for managing several areas at once: marketing, social, and economic. In today’s international environment, the interaction of brand and management is developing intensively, adapting to rapid changes in the world market and the introduction of information and communication technologies. For the effective functioning of marketing and development of Ukrainian companies that are focused on the market and influence the economy, it is necessary to consider in detail the issue of the functioning of the brand as an innovative tool both at the theoretical and practical levels. In particular, important components are the direct implementation of this mechanism, the list and content of the main stages of application, signs and types, the use of the dynamics of growth of indicators in both the domestic and the international markets. This study presents the features of the use of an innovative brand tool, which are the needs of modern companies, their specifics, overall impact, and also makes forecasts for the future. The use of brand management has a positive effect on the functioning and presentation of Ukraine in the market.