Creation Of Tools Research Articles

The Integration of Artificial Intelligence in Communication Design. Case Studies from the Polytechnic of Milan: from Digital Culture to Sociology of Media

L’INTEGRAZIONE DELL’INTELLIGENZA ARTIFICIALE NEL DESIGN DELLA COMUNICAZIONE. CASI DI STUDIO DEL POLITECNICO DI MILANO: DALLA CULTURA DIGITALE ALLA SOCIOLOGIA DEI MEDIA Abstract The advent of Artificial Intelligence (AI), particularly Generative AI (GenAI), has catalyzed a transformative shift in educational methodologies, bridging traditional pedagogy with advanced digital technologies. This article presents a comparative analysis of two case studies conducted within the Communication Design Program at Polytechnic of Milan, exploring the integration of GenAI as a collaborative tool in Digital Culture and Sociology of Media courses. By examining the implications, challenges, and outcomes of embedding GenAI within these educational frameworks, we aim to highlight the role of AI as a «co-pilot» in learning processes, offering innovative approaches to knowledge creation and problem-solving. The case studies underscore common themes, such as the democratization of creative tools through AI, the necessity for critical AI literacy, and the exploration of AI as a facilitator of innovative content generation. Simultaneously, the article delves into the differences between the two courses, including participant numbers, course structures, and project aspects, providing a comprehensive understanding of GenAI’s impact on educational experiences and students’ problem-solving skills.

An Exploration of Generative Artificial Intelligence Authorship Eligibility

In the era of generative artificial intelligence, whether machine creations have copyright is a controversial issue. This paper takes the first domestic copyright infringement case of artificial intelligence-generated works heard by the Beijing Internet Court as the background, and takes the “creative tool theory” adopted in the judgment as the basis for the copyright infringement case. " is used as the main analytical tool to explore the copyright subject qualification of artificial intelligence. At the same time, the "presumed author theory" is used as a supplementary theory for research. It is proposed that a dual subject structure of "creator-right holder" can be established under the Chinese legal framework to solve the problem. The dilemma of subject qualification of works generated by generative artificial intelligence.

Pengaruh Kompensasi terhadap Kinerja melalui Disiplin Kerja sebagai Variabel Intervening pada Karyawan Honor Sekretariat DPRD Provinsi Jambi

This research aims to determine the effect of compensation on employee performance through work discipline as an intervention variable for honorary employees of the Jambi Province DPRD Secretariat. The analytical method used here is a quantitative descriptive analysis method. The population and sample are honorary employees of the Jambi Province DPRD Secretariat with a sample size of 69 employees. Data collection was carried out by distributing questionnaires with a Likert scale. The statistical analysis used is using the Structural Equation Modeling (SEM) technique, with Partial Least Square (PLS) as a creation tool using the SmartPLS program. The results of this research show that compensation has a positive and significant effect on employee performance, compensation has a positive and significant effect on work discipline, work discipline has a positive and significant effect on employee performance and compensation has a positive and significant effect on employee performance mediated by work discipline.

Enhancing Medical Student Engagement Through Cinematic Clinical Narratives: Multimodal Generative AI-Based Mixed Methods Study.

Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts. This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs). We transformed a standard clinical case into an engaging, interactive multimedia experience called "Shattered Slippers." This CCN used various genAI tools for content creation: GPT-4 for developing the storyline, Leonardo.ai and Stable Diffusion for generating images, Eleven Labs for creating audio narrations, and Suno for composing a theme song. The CCN integrated narrative styles and pop culture references to enhance student engagement. It was applied in teaching first-year medical students about immune system pharmacology. Student responses were assessed through the Situational Interest Survey for Multimedia and examination performance. The target audience comprised first-year medical students (n=40), with 18 responding to the Situational Interest Survey for Multimedia survey (n=18). The study revealed a marked preference for the genAI-enhanced CCNs over traditional teaching methods. Key findings include the majority of surveyed students preferring the CCN over traditional clinical cases (14/18), as well as high average scores for triggered situational interest (mean 4.58, SD 0.53), maintained interest (mean 4.40, SD 0.53), maintained-feeling interest (mean 4.38, SD 0.51), and maintained-value interest (mean 4.42, SD 0.54). Students achieved an average score of 88% on examination questions related to the CCN material, indicating successful learning and retention. Qualitative feedback highlighted increased engagement, improved recall, and appreciation for the narrative style and pop culture references. This study demonstrates the potential of using a multimodal genAI-driven approach to create CCNs in medical education. The "Shattered Slippers" case effectively enhanced student engagement and promoted knowledge retention in complex pharmacological topics. This innovative method suggests a novel direction for curriculum development that could improve learning outcomes and student satisfaction in medical education. Future research should explore the long-term retention of knowledge and the applicability of learned material in clinical settings, as well as the potential for broader implementation of this approach across various medical education contexts.

CONNOTATIONS OF CONTEXTUAL SYNONYMS IN TEXTUAL COHERENCE

The article examines various approaches to the classification of connotation as a semantic component of linguistic units within the communicative domain. It also analyzes the classification of connotation from the perspectives of linguistics, stylistics, logic, and philosophy. Connotation is regarded as a significant means of semantic construction in discourse. From a typological standpoint, the study identifies expressive, emotional, evaluative, duration, and other semantic components within the semantic structure. At the level of connotation and modality expression in texts, the issue of contextual synonyms is also addressed. Synonyms are considered tools for text cohesion, and their usage is analyzed within specific textual frameworks. Additionally, the expression of semantic properties is discussed concerning the genre characteristics of the text and the communicative situation. The functional significance of synonyms as textual creation tools is explored from the perspective of semantic cohesion. Furthermore, synonyms are examined in terms of their role in ensuring content accuracy and the selection of linguistic expressiveness. In studying the linguistic and textual modalities of synonyms, it is deemed appropriate to analyze them from structural, semantic, and functional perspectives. Observations from these perspectives should incorporate necessary contextual inclusivity, account for linguistic, i.e. stylistic features, and clarify the pragmatic “value” of discourse. Such approaches not only refine the practical material of the research but also enhance the robustness of the evidential basis presented.

Optimalisasi Digital Marketing melalui Aplikasi Digital : Usaha UMKM Olahan Laut dan Pariwisata Kampung Nelayan Desa Salira

The purpose of this activity is to develop digital marketing skills through training on the use of digital applications Canva and Capcut to promote Micro, Small, and Medium Enterprises (MSMEs) in fish processing and tourism in the Fisherman Village located in Salira Village, Serang Regency. This activity aims for MSME entrepreneurs to enhance their skills in taking photos and videos, as well as processing these images and videos into more engaging, innovative, informative, and professional content.The method used in this activity involves training on the use of the Canva and Capcut applications with the theme "Application of CANVA and CAPCUT in Digital Marketing." The research results indicate a positive and significant improvement in marketing content compared to previous efforts. However, there are still challenges to address, such as the inadequate facilitation of supporting tools for content creation, which must be improved for the content produced to continue evolving for display on various digital marketing platforms.

Cadê o Kauê? Co-design and acceptability testing of a chat-story aimed at enhancing youth participation in the promotion of mental health in Brazil.

Adolescent mental health is vital for public health, yet many interventions fail to recognise adolescents as proactive community contributors. This paper discusses the co-design and acceptability testing of a chat-story intervention to enhance Brazilian adolescents' participation in the promotion of mental health in their peer communities. We specifically highlight the iterative process of co-creating this intervention with community stakeholders. The co-design was led by researchers, a youth collaborative group, and health-tech experts. Part 1 included quantitative (n = 1,768) and qualitative (n = 46) studies with Brazilian adolescents aged 15-18 for priority-setting. Part 2 involved co-creation and technical production, with input from youth advisors (n = 24), school staff (n = 11), and policy experts (n = 3). In Part 3, the chat-story was user tested (n = 32). Parts 4 and 5 assessed acceptability through a qualitative study in schools (n = 138) and initial efficacy during an online campaign (n = 795). Participants aspired to support their peers' mental health in schools, both one-to-one and collectively, but felt unprepared. This informed the chat-story's goal of enhancing peer support and collective action skills. Themes identified during Part 1, such as prejudice and academic pressure, were woven into the narrative to raise awareness of the social determinants of mental health, drawing from real-life stories. In the final story, players search for their missing best friend at school, uncovering his anxiety struggles and practicing skills such as empathic listening and partnership building. A manual for teachers was collaboratively designed for use within school settings, supplementing direct-to-user online applications. Acceptability testing showed participants found the tool authentic and user-friendly. Online users perceived the tool as preparing and motivating them to offer peer support and engage in collective action. The immersive co-creation model, enriched by input from key stakeholders, yielded a relevant and well-received intervention for Brazilian adolescents. Co-designed creative tools like chat-stories hold promise as digital mental health tools, fostering awareness, critical reflection, and inspiring adolescents to drive positive social change.

A virtual patient authoring tool for transcatheter aortic valve replacement.

Computer-based medical training scenarios, derived from patient's records, often lack variability, modifiability, and availability. Furthermore, generating image datasets and creating scenarios is resource-intensive. Therefore, patient authoring tools for rapid dataset-independent creation of virtual patients (VPs) is a pressing need. An authoring tool and a virtual catheterization laboratory environment were developed. The tool allows customised VP generation through a real-time morphable heart model and Euroscore parameters. The generated VP can be examined inside the vCathLab using a fluoroscopy and monitoring device, both on desktop and immersive virtual reality. Seven board-certified experts evaluated the proposed method from three aspects, i.e. System Usability Scale, qualitative feedback, and its performance in VR. All participants agreed that this method could provide the necessary information and is anatomically correct within an educational context. Its modifiability, variability, and simplicity were well recognised. The prototype achieved excellent usability score and considerable performance results. We present a highly variable VP authoring tool that enhances variability in medical training scenarios. Although this work does not aim to explore didactic aspects, the potential of using this approach in an educational context has been confirmed in our study. Accordingly, these aspects can benefit from a thorough investigation in the future. In addition, our tool can be improved to provide more realistic parameter ranges for procedure-specific cases.

Grafiki generowane przez sztuczną inteligencję na lekcjach języka włoskiego. Przykłady użycia

The article examines the potential of artificial intelligence in generating images for Italian language lessons. It discusses AI’s educational applications, particularly in language teaching, and reviews practical tools for image creation. Key sections explore the use of AI-generated images in lessons and suggest beneficial types of images. The article introduces AI as a tool for educators, enhancing lesson preparation, exercise personalization, and developing linguistic, communicative, cultural, and digital skills while considering the opportunities and risks of AI’s rapid advancement.

A Study on Online Learning For UTHM Students

Online meetings are arguably the most widely used method since the Coronavirus pandemic hit the world among office workers to do such as meetings and because of students may face several challenges throughout the e-learning process held. The main objective of this research is to explore the factors that affect students’ satisfaction regarding the online classes. All the 100 respondents from UTHM Pagoh students were taken as representing the population set in UTHM Pagoh students. This research is qualitative data and were analysed by using IBM SPPS Statistic to find the mean, standard deviation, percentage, and frequency with the data collected consists of four sections which are demographic info, the factors, the students’ attitudes, and the ways to make online learning more interesting with five questions each section. The results revealed that, the factor that most contribute to student dissatisfaction in online learning is the problem of networks with 4.16 as the mean. Most students' attitude towards online learning is their lack of interest and involvement during classes with 3.69 as the mean and 4.43 mean for the way to make online classes more interesting is with lecturers can use some creative tools to teach.

Innovating sustainable fashion design: an exploration of the sustainability of a hybrid method through the C2CAD framework

ABSTRACT Sustainability in the fashion industry is evolving, with a trend towards integrating digital technology with traditional crafts, as more eyes are on artisanal values than manufacturing benefits. Meanwhile, a hybrid design and making method merges human skills with digital tools for sustainable creation, as investigated in the design innovations of the opera costume in this study. The study applies the C2CAD framework to guide design, develop an optimised design model, and validate the sustainable impact of each design step. The design model focuses on small-scale customised pieces by the designer and highlights the stages of hybrid design and making, resulting in a sustainable design process that displays a non-linear recursive route. The research reveals the interaction between the making techniques and necessitates a balance between aesthetics and sustainability. The findings provide a valuable insight into the application of the sustainable fashion design model and making method in the design process.

Pemanfaatan Canva sebagai Alat Kreatif untuk Meningkatkan Strategi Promosi GURAFIX: Bisnis Jasa Desain Grafis

In the rapidly evolving digital era, business promotion strategies have undergone significant transformations, particularly through the utilization of online graphic design platforms. This study aims to explore the use of Canva as a creative tool to enhance the promotional strategies of GURAFIX, a graphic design service business. The method employed is qualitative with direct observation techniques and portfolio analysis. The findings indicate that Canva plays a crucial role in improving the productivity and efficiency of the GURAFIX team in producing visually appealing content aligned with current market trends. Utilizing Canva has also positively impacted the quality of designs and promotional appeal, contributing to an increase in clients. However, the study also identifies Canva's limitations in meeting advanced design requirements. This research provides practical implications for other graphic design service businesses to optimally utilize Canva as part of their promotional strategies.

ПРОСТІР КРИПТОАКТИВІВ: ЛОГІКА РОЗВИТКУ, СТРУКТУРА, ВЛАСТИВОСТІ ТА ВЗАЄМОДІЇ. Стаття перша. Ідеологія, технології, шлях до розмаїття та типологія криптоактивів

The article explores the complexity and diversity of the crypto-asset space, examining the logic of its development, the dynamics of interactions within the ecosystem, and with the external world. It demonstrates how the open-source nature of crypto projects and the emergence of tools for simplified token creation on third-party blockchains have transformed the crypto-asset space into one of unlimited financial asset creation. The structure of the crypto-asset space is represented through a typology of crypto-assets based on technological, functional, and socio-economic characteristics. By studying thirty of the largest crypto-asset projects by market capitalization, several distinct groups that define the construction of crypto-asset space have been identified: bitcoin and ether as the poles of crypto space development; alternative to bitcoin payment cryptoassets; cryptocurrency based back-office solutions for traditional cross-border payments; stablecoins; coins of alternative blockchain platforms with innovative consensus mechanisms and scalability solutions (Layer 1 and Layer 2); crypto-assets of projects for scaling other blockchains and facilitating efficient interoperability between blockchains and the external world; crypto-assets of projects expanding existing successful virtual networks; crypto-assets of centralized cryptocurrency exchanges; DeFi project coins; meme coins; enhanced privacy coins; and non-fungible tokens (NFTs). The article reveals the ongoing development of the crypto-asset space in the following directions: solving the blockchain trilemma considering project goals; ensuring interoperability of decentralized networks; creating new forms of collaboration with traditional financial intermediaries and institutions (which often contrasts with the original cypherpunk ideology). It is argued that the space of decentralized interactions, mediated by crypto-assets, has become a domain of extreme volatility, hyper-financialization, and a space where it is difficult to separate technological value from speculative crypto markets. It also highlights the presence of centralized, opaque, and unregulated hyper-intermediaries, with no clear distinction between professional and non-professional participants in the crypto market. Furthermore, this space seeks additional sources of trust from the traditional world, including through sovereign currency-backed stablecoins, partnerships with traditional financial intermediaries, and regulatory lobbying. In the first article, the ideological foundations, basic technologies of the crypto- asset space, bitcoin and ether as the poles of development in this space, and the typology of crypto-assets are examined.

Application of diffusion chambers for cell macroencapsulation: from concept to clinical trials (literature review)

Macroencapsulation of cells allows to isolate the donor biomaterial from the influence of the recipient’s organism. The degree of isolation can vary from mechanical isolation of donor cells within the implantation site to complete immune isolation of the transplanted biological material. The diffusion chamber was the first device used for macroencapsulation. The initial stage of research of this technique was aimed at expanding the range of cell and tissue implantation in allogenic and xenogenic models and clarifying the mechanisms underlying the graft rejection reaction. Later the design of the diffusion chamber underwent a number of changes that determined the modern application of the macroencapsulation method. The derivative of the diffusion chamber – the engineering chamber in complex with the arterio-venous shunt is used as a tissue modeling tool for creation of soft tissue flaps of different composition with the axial type of blood supply. An alternative design of the flow chamber allows the formation of soft tissue flaps on intact vessels. The engineering chamber is also used for growing various types of tissues and organ fragments (cardiac transverse striated muscle tissue, lymphoid tissue, fragments of liver, thymus, pancreas). A separate direction in studying the range of practical applications of the diffusion chamber is the development and testing of methods of transplantation of pancreatic islet cells into animals when creating allo- and xenogeneic experimental models for the treatment of diabetes mellitus. Some devices are already undergoing clinical trials and are available as a product for experimental studies.

포스트휴머니즘 시대의 AI(인공지능) 미술 수업 사례를 통한 미술 교육 방향 탐구 : 중학교 미술 교육을 중심으로

This study aims to explore the direction of art education that can foster post-humanistic thinking by analyzing learners' reflections after implementing an AI-based art education program for middle school students. To this end, 3rd grade students at S Middle School participated in both traditional art expression methods and AI-assisted classes on topics such as pottery making, portraiture, and landscape painting. Students' views on these two teaching methods were surveyed and analyzed. This led to the following implications: First, AI was seen as an efficient and straightforward tool for creativity. Second, it was confirmed that there are limitations in expressing the artist's inner self during the AI-based image generation process. These findings suggest that, despite the limitations of AI-based art activities in accurately expressing students' inner selves, AI holds significant potential as an innovative tool and paves the way for a new educational approach centered on the collaborative relationship between humans and AI.

Google, SEO and helpful content: How artificial intelligence can be helpful for e-commerce websites

This paper explores the impact of artificial intelligence (AI) on search engine optimisation (SEO) practices within a marketing agency setting, with a particular focus on quality, topical authority and relevance over quantity. By leveraging AI-powered content creation tools, the study explores the effectiveness of generating various SEO elements for enhancing the visibility and ranking of product pages. Using models such as OpenAI’s text-davinci-003, the study demonstrates the generation of SEO elements tailored to specific product details, brand names and website URLs. Through examples of fitness equipment, the study showcases the creation of SEO-friendly content, enhancing the discoverability of product pages and user engagement. Furthermore, the study extends its focus beyond textual content to include the generation of image alt tags, identifying low-resolution images and implementing contextual internal linking using AI techniques. The study explores methodologies for generating alt tags for images based on image URLs, identifying low-resolution images from a list of URLs, and recommending internal links based on content similarity and topical relevance. The study also describes practical applications of AI in various SEO optimisation tasks, emphasising the role of AI-driven solutions in enhancing website crawlability, user experience and overall SEO performance, thereby contributing to improved visibility, traffic and conversion rates. By addressing key SEO challenges and leveraging AI technologies, marketing agencies can optimise their strategies for better search engine visibility, ultimately driving growth and competitiveness in the digital landscape.

Real Time Collaborative Whiteboard

This experiment developed a whiteboard web application that will be versatile, hence usable both as a tool in teaching and one in entertainment. There is a pencil of all sizes and colors allows people highly to customize the drawing capability. It has several shapes-circles, rectangles, lines-for structured illustrative works. The platform can also be allowed for free-hand drawing and sketching for artistic expression or note-taking. An important feature of the application is the non-stuttering user interface during transit from one tool to another. Hence, it is perfect for live lesson educators or busy people working on creative tasks. A desirable feature of the application is that it has a "Save as Photo" function where the work can be captured in the image format and shared with colleagues or preserved for eventual review. This connects the user from the old means of whiteboards to the new avenues of digital interfaces, thereby enriching interaction in learning environments online and serving as a fun way of creativity and entertainment. The user base of the whiteboard application is encompassed by students and teachers, hobbyists, and artists, due to its wide-ranging intuitive control, size and color customization, and shape-drawing tools. This makes it a widely-used, enabling tool for digital content creation and collaborative work.

4차 산업혁명 시대의 대학강의 디지털화 : 온라인 협업도구를 중심으로

The digital transformation of university lectures has accelerated since the pandemic, and the likelihood of returning to pre-pandemic teaching methods appears low. This study examines whether it is essential and justifiable to incorporate rapid advancements in contemporary science and technology into university lectures in the context of the Fourth Industrial Revolution. To this end, cases of liberal arts courses at University D from 2022 to 2024 that integrated educational technology (EdTech) were analyzed. EdTech tools that were convenient for instructors and demonstrated effective learning outcomes were selected and categorized into online collaboration tools and online creation tools. This paper first discusses online collaboration tools that feature intuitive user interfaces and designs, enhancing the efficiency of lecture management and promoting positive learning outcomes. Specifically, it introduces the functionalities and applications of EdTech tools such as 1) Jamboard, 2) Allo, and 3) Padlet through actual lecture examples. The paper aims to evaluate the effectiveness of these EdTech tools by analyzing the positive changes observed in lectures following their implementation.

Feeling better when working with creative tools? Exploring the effects of a sketchnote intervention on students’ achievement emotions

AbstractSketchnoting is a visual note taking strategy that combines written notations with drawings. The potential is seen, in particular, in providing space for enjoyable learning. Since empirical evidence on how sketchnoting effects emotions is currently limited, the present study examined how students’ achievement emotions change after a sketchnoting intervention and how students visualize text information in sketchnotes. In a mixed methods intervention study with fifth grade students (N = 99 students, Mage = 10.04 years, SD = 0.39, 55.91% female) the sketchnote group used sketchnoting in five German grammar lessons, whereas the control group learned the grammar content through writing. Repeated ANOVA measures revealed that after the intervention, negative emotions significantly decreased within the sketchnote group, but not within the control group. In addition, a qualitative content analysis of the sketchnotes showed that students created visual analogies and examples, that connect abstract terms with daily life experiences. The results support the idea that sketchnoting can decrease students’ negative achievement emotions and provides space for linking new learning content to real-world experiences.

Integrative greenness, blueness and whiteness determination of analytical RP-HPLC method for identifying Imipenem, Cilastatin and Relebactam in combined tablet form followed by forced degradation studies

Most clinically preferred, US FDA and EU approved anti-infective drug, a multi-component formulation of Imipenem (IPM), Cilastatin (CS) and Relebactum (REL). The combination is used in medicating the most complicated, gram-negative bacterial infections. Henceforth, it requires the development of selective, precise, accurate, robust analytical method. Hence the present work comprises RP-HPLC method development for determination of IPM, CS and REL. The detection is achieved by using new and apt conditions i.e., Discovery C18 (4.6 × 150 mm, 5 µm) column, 0.01 N Potassium Dihydrogen Phosphate buffer: Acetonitrile (60:40) as mobile phase. The detection was found at short RT i.e., 2.32, 3.08, and 3.62-min for IPM, CS and REL correspondingly. Good sensitivity was observed, where LOD of 0.11 µg/ml (IPM), 0.14 µg/ml (CS), and 0.06 µg/ml (REL) was obtained. While, LOQ was noticed at 0.33 µg/ml (IPM), 0.43 µg/ml (CS) and 0.18 µg/ml (REL). As a counterpart, other study of forced degradation was also performed for the selected drugs at different extreme conditions. A sustainability evaluation has been done on the proposed method. The creative tools such as AGREE, GAPI, ChlorTox scale in green analytical counterpart were performed providing good score. Another BAGI software was opted as blue principle-evaluator, that resulted in a good score of 85 %. Highlighting the use of the most recent sustainability determination software, RGBfast model in present work with a good score of 74 %. Moreover, white and green evaluation has been performed in the form of comparative mode, for better understanding of the significance of current method.