bluuebunny/crossref_metadata_2025 huggingface dataset:
El arte de tejer currículos culturales e inclusivos para las infancias. Experiencia socioeducativa de Comfenalco Antioquia
Authors: Restrepo Restrepo Nataly , Correa Alzate Jorge Iván , Taborda Montoya Yor Mary , Ayala Paredes Loredana Joyce , Echeverri Castro Paula Andrea
Published: June 2024

El arte de tejer currículos culturales e inclusivos para las infancias, experiencia socioeducativa de Comfenalco Antioquia, es producto de este ejercicio de autorreflexión y construcción de la propia experiencia. Emerge para explicar y comprender las prácticas en territorio y visibilizar las urgencias, propuesta de las comunidades frente a la educación y cuidado de los niños y niñas en las regiones. La propuesta que se presenta nace de las voces de los actores de la comunidad, familias y equipos interdisciplinarios de siete de las nueve regiones de Antioquia (Suroeste, Urabá, Oriente, Magdalena Medio, Bajo Cauca, Área Metropolitana y Occidente) quienes, en un ejercicio colectivo, tejen miradas, sueños, convergencias, divergencias y apuestas educativas que se instauran como medio para transversalizar líneas, estrategias y mecanismos pedagógicos, didácticos y administrativos, el cual fundamenta la propuesta metodológica de Comfenalco en los territorios.
Estrategias para combatir la ilegalidad en los juegos de suerte y azar a través del posicionamiento de marca: caso Lotería de Medellín
Authors: Echavarría Pérez Ruth Julieth , Gutiérrez Garzón Ana María , Gómez Zapata Yuliana
Published: June 2024

Las marcas asociadas a los juegos de suerte y azar ocupan un lugar en la mente de los jugadores y apostadores del departamento. De su posición respecto a otras marcas y de la naturaleza de las emociones que generan puede depender el comportamiento de juego de quienes participan activamente en este mercado. Justamente, el objetivo de la presente investigación es determinar cuáles deberían ser los atributos, las ventajas y la propuesta de valor de este tipo de marcas en Antioquia para promover, a partir de ellos, una estrategia de posicionamiento y, como consecuencia, apalancar las medidas para desestimular la ilegalidad en los juegos de suerte y azar en el territorio.
Dispatches from Utopia: Black Queer Nightlife in Shakedown
Authors: McNealy Grace
Published: June 2024

Many critics have discussed the ways in which Cheryl Dunye's groundbreaking 1996 film The Watermelon Woman employs an exploration and interrogation of history as a means of creating and reshaping the present and future, a utopian extraction (which is ultimately an invention) of a symbolic Black lesbian figure who has been obscured and ignored throughout history. In this vein, this essay examines a work that similarly uncovers Black queer utopias of the past and actualizes queer potential for existence in the present: the 2018 documentary Shakedown, directed by Leilah Weinraub, which depicts a series of Black lesbian strip events in early-2000s Los Angeles. Drawing from a theoretical background that expands the political implications for queer sexuality, community, and performance, including queer of color critique, performance theory, queer utopia, and queer temporality, I present the ways in which joyful and utopic possibilities for Black lesbian being and belonging are opened in the strip clubs depicted by the film. Putting Foucault's model of heterotopias, or actualized utopic spaces existing across cultures, in conversation with these theories, I develop the concept of the “homotopia,” a queer utopian countersite that is both historically relational and temporally detached, existing affectively for queer viewers in multiple times and spaces. I argue that the film therefore not only represents an archival project of capturing and preserving a homotopic nightlife, but, further, carries it across space and time to shape an affective, digital utopia for the viewer. In this way, the documentary's depiction of these events constructs a homotopic space of its own, stimulating the spectator to engage in imagining alternative queer futures.
Menganalisis Penyebab, Konsekuensi, Dan Solusi Potret Ketimpangan Ekonomi
Authors: Alif Finno Fidzaky  , Verinda Yelanita  , Muhammad Yasin
Published: June 2024

Economic inequality is a complex phenomenon that occurs in various countries, including Indonesia. This research aims to analyze the causes, consequences and solutions of economic inequality. The causes of economic inequality are identified through various factors such as education, access to resources, government policies, and globalization. The consequences of economic inequality include broad social, political and economic impacts, including increased poverty, social instability and uneven economic growth. Proposed solutions include improving the education system, developing inclusive policies, empowering communities, and increasing access to basic services. This research underlines the importance of a multidimensional approach in addressing economic inequality to achieve sustainable and inclusive development.
Ethnobotany of common wild foods of primitive tribal groups of Visakhapatnam district, Andhra Pradesh
Authors: Rao J. , Seetharami Reddi T.
Published: June 2024

The present study documents the traditional wild food plants used by the primitive tribal groups of Visakhapatnam district. A total of 24 plant species involving 19 genera and 18 families are used as wild foods. Among them 7 species each are herbs and trees, 6 shrubs and 4 climbers. It is observed that traditional knowledge on wild food plants is quite high among the primitive tribal groups. Efforts should be made to educate younger generation of other tribal groups before the knowledge is lost.
Wild edible plants as emerging ethanomedicines from the Kinnaur district of Himachal Pradesh, India
Authors: Chauhan Joginder , Negi A. , Rajasekaran A. , Pala Nazir
Published: June 2024

The present investigation provides information on wild edible plants with potential medicinal values from the Kinnaur district, Himachal Pradesh. Informed consent semi-structured interviews from 179 inhabitants. of seventeen villages from three blocks were conducted to collect the research data. A total of thirty three ethno- medicinal wild edible plants belonging to nineteen families and twenty five genera were documented. Of these, twenty one were herbs, nine shrubs and three tree species. Prunus armenica and Zanthoxylum armatum were most significant ethno-medicinal wild edible plant species and these species still have importance among the people of the region. Many other wild edible plants such as Ephedra gerardiana, Podophyllum hexandrum, Berberis spp, Bergenia ciliata, B. stracheyi, Rheum australe, R. webbianum, Podophyllum hexandrum species though considered medicinal but are not used for this purposes and edible parts of these species are simply regarded as supplementary food. The practice of using wild edible plants still exists among the rural populations of Kinnaur district, but is vanishing fast. Consequently, the recording, preserving, and documentation of this traditional knowledge to future generations is essential.
Sobre Coisas que Fazem Bem Sentir
Authors: Borges Rafaela , Mourthé Claudia , Damazio Vera
Published: June 2024

Este artigo questiona a predominância da visão na interação com o mundo, explorando o campo do Design Sensorial para além da ênfase visual. Investigou-se como esse enfoque transcende a percepção visual ao influenciar a experiência emocional dos usuários diante da multisensorialidade dos objetos. Para isso, uma revisão de literatura sistemática foi realizada na Scopus, resultando em 12 artigos (2011-2022). A análise ressalta a interação usuário-objeto, a integração de sistemas sensoriais, estímulos e reações emocionais. A síntese ressalta a importância de explorar modalidades perceptivas para promover o bem-estar, consolidando a abordagem multissensorial como ferramenta essencial para projetos inclusivos. Em suma, este estudo amplia a compreensão dos sentidos no design, promovendo técnicas que consideram a diversidade perceptiva humana.
Design para Causas Sociais
Authors: Schons Tifani Muller , Almada Juan Felipe , Barth Mauricio , Pinheiro Cristiano Max Pereira
Published: June 2024

A causa animal é uma questão social complexa que, mesmo com intensas atuações do terceiro setor, vem se agravando frente às problemáticas que enfrenta. Dessa forma, esse estudo tem como objetivo identificar as dificuldades vivenciadas pelas ONGs e grupos de proteção animal e, a partir disso, explorar como o design para inovação social pode ajudar a encontrar diferentes possibilidades de atuação para amenizar essas problemáticas. Portanto, foram realizadas quatro entrevistas abertas com gestoras de ONGs, além de um questionário através do Google Forms com 73 respondentes, caracterizando a pesquisa como aplicada, exploratória, descritiva e qualitativa, com um levantamento bibliográfico e survey. Encontrou-se, assim, um cenário que necessita de apoio, com ONGs e grupos de proteção enfrentando não apenas algumas dificuldades, mas, sim, várias, que se sobrepõem umas às outras e sobrecarregam a atuação na causa. Esse entendimento sistêmico do contexto, atingido através da pesquisa, possibilitou a visão de como o design pode auxiliar, gerando-se uma lista de insights e formas de atuação envolvendo o design estratégico, o design visual e o branding, baseados no design para a inovação social. O resultado obtido propõe o design como forma de gerar benefícios às ONGs e grupos de proteção animal e, por consequência, à causa animal como um todo.
Moda e Promoção da Saúde
Authors: Silva Marcio José , Garcia Lucas França , Oliveira Leonardo Pestillo de
Published: June 2024

O objetivo desta pesquisa é o de investigar a complexa relação entre moda, vestuário e saúde, de modo a compreender como as escolhas quanto ao vestir afetam a qualidade de vida, a autonomia e o bem-estar dos sujeitos. Por meio de uma avaliação pela perspectiva da promoção da saúde, utiliza-se de uma abordagem exploratória do tipo empírica, utilizando-se de uma análise qualitativa e descritiva. Para condução do estudo, realizado por uma equipe interdisciplinar, foram utilizados dois instrumentos de coleta de dados, sendo uma entrevista semiestruturada com profissionais de saúde e de desenvolvimento de produto, e um questionário aplicado a diferentes sujeitos. No total participaram deste estudo 266 pessoas, sendo 13 profissionais e 253 usuários. Os dados mostram que o uso do vestuário acarreta problemas para a saúde e que muitos desses problemas podem ser melhorados por meio de soluções simples, ou um interesse maior por parte da área de saúde em compreender os riscos e benefícios do campo da moda para a promoção da saúde. Este estudo contribui, ainda, para que designers de moda insiram a temática da saúde em seus projetos.
Integrasi Nasional dalam Rangka Persatuan dan Kesatuan Bangsa
Authors: Nabila Dienda Zarmi , Kurniawati Ice , Handayani Nurul , Hasanah Nur
Published: June 2024

National integration is the process of uniting various social and cultural groups in a country to form a harmonious unity. National integration is an effort to integrate ethnic, religious, linguistic, and cultural diversity into a solid national unity. This research utilizes the library research method, which involves analysis and learning from various reference sources, journal articles, books, and previous research The main source of data is research articles published in the last 10 years through the google scholar website. Data analysis is carried out qualitatively with the stages of data reduction, data presentation, and conclusion drawing. The results of the analysis show that the national integration process involves various aspects, such as education that prioritizes national values, policies for equitable development, and fair law enforcement. In addition, community participation in maintaining harmony between groups and promoting tolerance is also very crucial. The challenges faced in national integration include the potential for disintegration due to differences in interests and social injustices, as well as the threat of ideologies that are contrary to the values of Pancasila
Pattern of Diseases Presenting in ENT Outpatient Department in a Postgraduate Teaching Hospital in S.I.T.E. Area Karachi
Authors: Khan Tahir Hussain , Rana Ashfaq Hussain , Memon Muhmmad Jamil , Rahim Danishur , Ibrahim Mukhtar , Siddiqui Tariq Zia
Published: June 2024

Ear, Nose and Throat (ENT) diseases are one of the public health problems and affect a huge number of the patient around the globe. Objective: To determine the pattern of ENT disorders or diseases in those patients who were attended outpatient department of ORL in a postgraduate teaching hospital of Karachi. Methods: Patients presenting at ENT OPD were selected randomly for the study. Data about ENT problems and information were collected through well structured questionnaire. After data collection, it was entered and analyzes by using software SPSS-23. Variables were age, sex, residence, socioeconomic status and different ENT diseases including wax, otitis media, allergic rhinitis, pharyngitis, tonsillitis, Deviated Nasal Septum (DNS) etc. Results: Male patients were 585 (46.8%) while female patients were 665 (53.2%) out of 1250 patients. Most of the patients were from industrial areas 775 (62%) and 475 (38%) were from city areas. 355 (28%) were suffering from wax followed by acute otitis media 300 (24%), acute tonsillitis and deviated nasal septum each in 225 (18%), otitis externa 150 (12%) and acute pharyngitis 145 (11%). In our study, a huge number of 72% of cases had ear disorders. 43.2% of patients had nasal issues, while 45.2% were related to laryngopharyngeal issues. Conclusions: Majority of the patients attending outpatient ENT department were related to ear wax followed by acute otitis media, acute tonsillitis, DNS, otitis externa, acute pharyngitis and many patients have multiple diseases.
Evaluation of Mean Apical Sealing Ability of Bio Ceramic and AH Plus (Dentsply Sirona) Sealer in Single Rooted Teeth: An In Vitro Study
Authors: Memon Jazib , Iqbal Kanza , Mallick Mariam Raza , Dehraj Mohsin Ali , Ali Ahsan , Kumar Kelash
Published: June 2024

A good seal is essential to prevent bacteria from re-entering the canal. Sealers can significantly impact the success of the treatment. Understanding which sealant works better can help dentists improve the outcome of root canal treatments. Objective: To compare mean apical sealing ability of bioceramic sealer and AH plus sealer in single rooted tooth. Methods: Extracted single-rooted teeth were divided into two groups and sealed with either bioceramic or AH plus sealer. After soaking in dye solution, the depth of dye penetration was measured to assess leakage. Results: Bioceramic sealer showed significantly better apical sealing ability (mean 5.43 mm) compared to AH plus (mean 8.55 mm), suggesting it may be a more effective choice for preventing future problems after root canal treatment. Conclusions: The study concluded that bioceramic sealer is superior to AH plus in sealing the tips of single-rooted teeth. This finding can help dentists choose the most effective sealant for their patients, potentially reducing the chance of treatment failure.
Geospatial Assessment of Oil Spill’s Impact in Obio/Akpor Local Government Area Rivers State, Nigeria
Authors: Ijaware Victor Ayodele , Mary Kanu Ifeyinwa Florence
Published: June 2024

Environmental degradation resulting from oil spills has emerged as a critical issue requiring immediate attention. This study uses geospatial techniques to investigate the impact of oil spills in Obio/Akpor Local Government Area of Rivers State. Landsat images, administrative map of the study area and historical oil spill data were data used in carrying out this study. The images were pre-processed through atmospheric and geometric corrections. Spatial analysis of four remote sensing indices-Normalized Difference Vegetation Index (NDVI) for assessing vegetation health, Normalized Difference Water Index (NDWI) for detecting water bodies, Land Surface Temperature (LST) for measuring surface temperature, and Normalized Difference Built-Up Index (NDBI) for identifying built-up areas-was conducted using the raster calculator in ArcGIS. The study employed the Analytical Hierarchy Process (AHP) to assign weights to these indices based their relative significance regarding oil spill impact. Subsequently, reclassification and integration of this information were done to generate Oil Spill Index (OSI) maps for 2003, 2013, and 2023. Validation of the Oil Spill Index (OSI) of various points before and after an oil spill incident was performed, specifically contrasting 2003 with 2013 and 2023 OSI values. This was to affirm the accuracy and predictive capability of the OSI maps in identifying oil spill-prone areas. Findings revealed OSI values for 2003 and 2013, indicating a range of 1.04 to 3.48 for 2003, with a noticeable increase observed in 2013, expanding the range to 3.08 to 4.72. Similarly, a comparison of OSI values between 2003 and 2023 indicates OSI values, ranging from 1.64 to 3.92 in 2003, then in 2023 after the oil spill incidents, there were notable changes in the OSI values, with the range shifting to 3.2 to 4.84. This suggests a significant increase in the impact of oil spill on the affected areas over the two-decade. This comprehensive index map serves as a tool for monitoring and assessing the effects of oil spills on the study area, thereby achieving the research objectives effectively.
TÜRK EDEBİYATINDA POLİSİYE ROMAN KURGUSU ÜZERİNE BİR DEĞERLENDİRME
Authors: Aydın Mustafa Fatih
Published: June 2024

Türk polisiye edebiyatının yaklaşık 140 yıllık bir geçmişi vardır. Bu süreç içerisinde edebiyatımızın önemli edebî şahsiyetlerinin yanı sıra gazete ve dergilerin bir köşesinde kalmış ve unutulmuş pek çok yazarın tefrika halinde yazılmış polisiye türde eseri olduğu tespit edilir. Tüm bu eserler incelendiğinde polisiye edebiyatın kurgu bakımından zengin içeriklere sahip olduğu anlaşılır. Karmaşık ve iç içe geçmiş olay örgüleri içinde; bilgi, varlık, zaman, mekân konusunda pek çok felsefi şubenin fikirsel alt yapısından teşekkül ettikleri psikolojik, sosyal, siyasal, iktisadi mevzulara temas eden eserlerin yazıldığı görülür. Polisiye edebiyat ürünlerinde; kent, yalnızlık, aşk, yabancılaşma, adalet, özgürlük, şiddet, kurgu, adalet, cinsellik gibi temel izleklerinin varlığı göze çarpar. Yazarların; soruşturmacı, suçlu ve kurbanın yer aldığı edebî ve ebedi üçgeninde kurguladığı olaylar, oyun-kurgu-muamma ilişkisinin en güzel örneklerini gösterir. Polisiye türün özellikle bellek ve üst kurmaca gibi zamansal ve kurgusal yöne sürekli atıfta bulunması, bu türün özellikle insan zihninin, kurguyla analojik bir bağlantı kurarak metnin entrik kurgu eğrilerine neden sonuç bağıyla yön verdiği anlaşılır. Geleneksel polis tiplerinin, modern dönem dedektiflerinin arketipleri olması aynı zamanda değişen dönüşen insan tipinin de tarihçesini aktarır. Çalışmada birçok polisiye eser örnek alınarak türün kullandığı anlatım yöntem ve teknikleri çerçevesinde değerlendirilir.
Research progress on nutritional functional ingredients and biological activity of edible flowers
Authors: Chai Qiu-ju , Cai Zhang Xi-
Published: June 2024

Edible flowers have a long history of development, rich in a variety of nutrients and functional ingredients, and have great market development potential. Based on the latest research results on edible flowers at home and abroad, the nutrients of common edible flowers and functional ingredients such as anthocyanins, carotenoids, flavonoids, phenolic acids, and plant essential oils are reviewed, and the biological activities of edible flowers are summarized and analyzed in order to provide a reference for the product development and deep processing and utilization of edible flowers.
ANÁLISE DOCUMENTAL SOBRE CUIDADOS PALIATIVOS NO SISTEMA ÚNICO DE SAÚDE
Authors: Medeiros Hugo , Carvalho Nino Rosa Vital de , Oliveira Letícia Leite Pereira Costa de , Mendonça Anna Valeska Procópio de Moura
Published: June 2024

Introdução: A morte exerce impacto sobre a vida, gerando questionamentos e inquietudes. Nesse sentido, o processo de adoecimento-fim de vida traz possibilidades de cuidado e desafios. Objetivo: Analisar documentos vinculados ao Sistema Único de Saúde (SUS) sobre o fenômeno da morte em Cuidados Paliativos. Metodologia: Pesquisa documental na base de dados do Ministério da Saúde, no período de julho de 2023 a maio de 2024. Foram selecionados documentos encontrados a partir dos termos “cuidados paliativos” e “fim de vida”. Resultados: Foram analisados 16 documentos, incluindo portarias (n=10), pareceres (n=2), resoluções (n=2) e publicações (n=2). Os documentos expressaram avanços na rede de Cuidados Paliativos no SUS, os quais ainda se mostram direcionados ao cuidado de pacientes com câncer. Destacam-se, nos documentos, o tema associado ao cuidado integral, escuta ao paciente, cuidado centrado nas necessidades individuais de cada usuário, controle da dor, equipe de trabalho multiprofissional, serviços na rede de atenção em saúde e a importância do acesso facilitado à rede, por todos os usuários que possuam doenças crônicas. A atenção em Cuidados Paliativos aos pacientes em domicílio aparece como continuidade da assistência. O cenário da morte, a questão do reconhecimento das características de cada família para o fenômeno da morte e do luto das famílias, também foram identificados. Há necessidade do fortalecimento de temáticas sobre a finitude da vida e compreensão sobre a morte, para uma tomada de consciência do ser-para-a-morte. Conclusão: A rede de Cuidados Paliativos tem conquistado espaço no SUS, sendo preciso ir além do cuidado aos pacientes com câncer, o que restringe seu potencial para o fortalecimento de cuidado ao fim de vida dos brasileiros. Cursos, discussões em equipe e pesquisas que tragam sensibilização, reflexões e conhecimento sobre o fenômeno da morte são recomendados.
Measuring Remote Collaboration Supported by Extended Reality: A Multidimensional Evaluation Approach
Authors: Marques Bernardo , Silva Samuel , Sousa Santos Betriz
Published: June 2024

Remote collaboration supported by eXtended Reality (XR) is a paradigm that transforms how geographically dispersed teams collaborate on shared tasks by leveraging immersive technologies that bridge physical distances. This approach goes beyond traditional communication tools, by creating shared, three-dimensional spaces that enhance the depth and effectiveness of collaboration. Regardless, it also introduces new challenges, like evaluating how collaboration occurs during such contexts, which literature shows is not straightforward. This work delves into evaluation in the realm of remote XR collaboration by proposing that a multidimensional approach is used, considering the level of information understanding, communication effectiveness, or social presence, among others. By analyzing how evaluation could be performed, we intend to offer insights to steer research and development in this dynamic field. These assessments can contribute not only to refining XR-system development but also deepen comprehension of how teams collaborate over time.
Adaptive Human-Machine Interfaces and Inclusivity in the Automotive Field: A Review
Authors: Wirtz Lena , Sever Emirhan , Eckstein Lutz
Published: June 2024

With advances in automated driving, the importance of the vehicle interior continues to grow. However, the growing number of functions leads to a large amount of information on automation or infotainment systems. To create an individual customer experience and not to overwhelm the driver with the growing amount of information, an adaptive human-machine interface (HMI) can be a solution. (Amditis et al., 2011) With the help of adaptive HMI, it is possible to display contextual and user-specific information and to adapt the interaction with the vehicle. Inclusion is a form of adaptation focusing the needs of the respective users. Thereby, adaptive HMI addresses, among other things, the enhancement of driving safety and empathy in the vehicle. (Rittger et al., 2022) This paper provides an overview of the current state of the art with respect to adaptive and inclusive HMI in the automotive context and facilitates the identification of open research questions. A systematic literature search was conducted to facilitate this scoping review.
About ride comfort due to differences in running speed of manual attendant-controlled wheelchairs
Authors: Fujisawa Shoichiro , Jutori Shunsuke , Ishimoto Koutaro , Wang Yitong , Arashi Kaito , Kawata Jyunji , Morimoto Jiro , Kaji Yoshio , Higuchi Mineo , Yamamoto Toru , Booka Masayuki
Published: June 2024

One of the problems with wheelchairs is that the vibrations generated during driving can cause users to experience motion sickness, discomfort, and annoyance. Wheelchair tire pressure is considered to be one of the factors that affects the ride comfort of a wheelchair. However, it is not yet known how much influence the tire pressure of a wheelchair has. One of the reasons for this is that it is not possible to accurately measure tire pressure with the English valve used in wheelchairs. Therefore, we created a tire pressure indicator to accurately measure the tire pressure of wheelchairs. The purpose of this study is to use the tire pressure display to evaluate the impact of changes in tire pressure on assistive wheelchairs on vibration. In addition, in this experiment, we created a device to push the assistive wheelchair using an electric wheelchair in order to make the assistive wheelchair move at a constant speed, aiming to improve the reliability of the data. In this paper, we examined the effects of different running speeds on ride comfort.In this study, we use a triaxial accelerometer to measure the vibration of the tire pressure of a manual attendant-controlled wheelchair in four patterns: 80kPa, 160kPa, 240kPa, and 320kPa. This measurement is performed at three different running speeds: low speed, medium speed, and high speed. FFT analysis is performed on the acceleration in three directions measured by the triaxial accelerometer, and the maximum power spectrum, frequency and integral value at the maximum power spectrum are determined. From these values, evaluate the trends caused by changes in tire air pressure. Verify the relationship with tire pressure. Riding comfort was evaluated using the SD method, and two types of evaluation were performed: stationary and running. The evaluation items consisted of three items, sitting comfort, sense of security, and sitting comfort of the buttocks, for both static and running conditions, and four items, including the strength of shaking while running. Responses were obtained on a five-point scale from 1 to 5. In this study, we verified the results of vibration measurements and sensory evaluations, and verified ride comfort due to differences in driving speed and tire air pressure.
The Impact of Digital Twins Technology in Maritime Fleet and Safety Management
Authors: Markopoulos Evangelos , Markopoulos Panagiotis , Nandi Akash , Faraclas John , Leontopoulos Chris , Meidanis Stavros , Monioudis Dimitris , Filahtos Grigoris
Published: June 2024

The integration of advanced technologies in areas such as safety, navigation, maintenance, security, supply chain management, and environmental impact can enable shipping maritime companies to enhance operational efficiency, reduce costs, mitigate risks, and drive innovation in a highly competitive industry. This paper introduces the application of Digital Twins in the shipping and maritime sector, highlights its contributions to safety and fleet management with live ship monitoring on all operations and crew, and extends such applications with the integration of Virtual Reality and Artificial intelligence for immediate decision making, risk avoidance and corrective actions. Its concept is based on and follows the developments and improvements of SOLAS (Safety Of Life At Sea), the ISM (International Safety Management) and ISPS Codes (International Ship and Port Facility Security), and STCW (Standards of Training, Certification and Watchkeeping). Furthermore, this work analyzes user requirements from different actors in the shipping and maritime industry (officers, ship-agents, ship owners and ship managers, insurance companies, charterers, etc.) and creates a high-level operations framework to guide the design and implementation of successful maritime digital twin projects. Lastly, it highlights the relationship between the UN Sustainable Development Goals and the digital twin adaptation strategy in the maritime and shipping sector. The paper concludes with the impact and contributions of such intelligent and interactive Digital Twins technologies in the maritime and shipping sectors from operational and environmental sustainability perspectives.
Human-centered Explainable-AI: An empirical study in Process industry
Authors: Zhang Yanqing , Brorsson Emmanuel , Methnani Leila , Zohrevandi Elmira , Bhattacharya Nilavra , Darnell Andreas , Tammia Rasmus
Published: June 2024

This paper presents an empirical study on the explainability of transformer models analyzing time series data, a largely unexplored area in the field of AI explainability. The study is part of an ongoing EU-funded project which applies a human-centered approach to developing explainable AI solutions for the process industry. Here, we investigate the choice of explainer mechanisms and human factor needs when developing eXplainable Artificial Intelligence (XAI) for operators of two industrial contexts: copper mining and paper manufacturing. On-site evaluations were conducted in these settings involving control room operators to test the prototype developed in the project. The results indicate that the method of feature importance alone was not sufficient to provide explanations that are tailored to individuals and situations, as required by users. Overall, our empirical data supports “social” explanations for AI users and demonstrates the value of involving end users in the design process of effective XAI solutions. We also provide design implications which address human factor needs for such solutions in industrial settings.
Evaluation of a Scale to Assess Subjective Information Processing Awareness of Humans in Interaction with Automation & Artificial Intelligence
Authors: Schrills Tim , Sieger Marvin , Gruner Marthe , Franke Thomas
Published: June 2024

Subjective Information Processing Awareness (SIPA) describes how users experience the extent to which a system enables them to perceive, understand and predict its information processing. With the rising interdependence of information processing in Human-AI interaction, research methods for assessing user experience in automated information processing are needed. The objective of the present research was the empirical evaluation of the SIPA scale as an economical method to assess SIPA, as well as the construction of and comparison with a version in plain language. To this end, two empirical studies were conducted (NS1= 317, NS2 = 230) to enable scale analysis. Results showed that the SIPA scale achieves excellent reliability and expected correlations with connected constructs, e.g., trust and perceived usefulness of AI systems. In addition, no benefits of a plain language variant were found. Based on the results, the SIPA scale appears to be a promising tool for examining user experience of systems with automated information processing.
Vector Result Rate (VRR): A Novel Method for Fraud detection in mobile payment systems
Authors: Daliri Arman , Zabihimayvan Mahdieh , Saleh Kiarash
Published: June 2024

Mobile payment systems are becoming more popular due to the increasing number of smartphones, attracting fraudsters' attention. Therefore, existing researchers have developed various fraud detection methods using supervised machine learning. However, sufficient labeled data are rarely available, and their detection performance is negatively affected by severe class imbalance in financial fraud data. This study aims to propose a new model entitled Vector Result Rate (VRR) for fraud detection based on deep learning while considering the economic consequences of fraud detection systems. The proposed framework is experimentally implemented on a large dataset containing more than six million mobile phone transactions. A comparative evaluation of existing machine learning methods designed to model unbalanced data and detect outliers is performed for the comparison. The results show that the VRR achieves the best results by integrating several classification algorithms with supervision and classifiers regarding standard classification criteria.
Meaningful Emoji: A Preliminary Exploratory Study of Graphic Symbols Usage for Health Communication
Authors: S. Lin Tingyi , Li Sih-wei
Published: June 2024

Emoji have become an important component of visual language since they were officially introduced into the Unicode Character Database in 2010 and have become commonplace in most people's lives. These graphic symbols were popularly used worldwide due to their widespread use on social media platforms. More and more researchers have also used emoji as stimulus cues to explore the relationship between emotions and attitude in the fields of communication, online behavior, health, food safety, and other field of study. Gboard, a virtual keyboard developed by Google, announced Emoji Kitchen in 2020 for Android users, and now also open to iOS users, and even launched a web version for computer users to use. Emoji Kitchen is a special feature that allows users to combine two different emoji symbols into brand-new ones. By using Emoji Kitchen as a generator tool, this study aims to investigate what key visual elements to replenish the emoji items to meet users' communication needs, particularly in the health context. This study firstly presumes emoji as elements of visual language to represent a noun, a verb, and an interjection. Secondly, an exploratory investigation was conducted to test how people make sense of the relationship between multiple emoji, within which to demonstrate how various arrangements of emoji affect the semantic meanings. Results show that current standardized and widely used emoji are inadequate for users to express freely online in the context of health issues. What to choose and how to use the emoji when people express their emotions in the context of health were defined. The consensus in visual preferences was initially discovered. Our previous studies have proved that emoji are highly capable of promoting more comprehensible and persuasive information communication, as well as improving reading speed. This study finds further details about how emoji play roles as vital components of visual language in communication.
Development of an Explainable Pre-Hospital Emergency Prediction Model for Acute Hospital Care
Authors: Lee Minjung , Jung Kwon Eun , Park Hyunho
Published: June 2024

This study introduces an eXplainable Artificial Intelligence (XAI) designed to predict which emergency patients require acute hospital care in pre-hospital phase and provide explanations for its reasoning. Emergency medical care is broadly divided into two stages: pre-hospital and in-hospital stages. Various information gathered during the emergency activities performed by paramedics in the pre-hospital stage and while transporting patients is crucial in describing the emergency patient’s condition. However, key pre-hospital information, important for the in-hospital medical care of emergency patients, is filtered based on the ambiguous memory of the paramedics, and is verbally shared in a condensed form via phone or radio when transmitted to the hospital. To address this issue, we have developed a model that predicts emergency patients based on pre-hospital information integrating an ensemble model and advanced XAI techniques. This proposed model not only predicts emergency situations requiring acute hospital care but also ensures the model's predictive processes remain transparent and interpretable for medical professionals, addressing the critical need for an information linkage system between the pre-hospital and in-hospital phases.
Exploring the Integration of AI in Sepsis Management: A Pilot Study on Clinician Acceptance and Decision-Making in ICU Settings
Authors: Micocci Massimo , Kettley-linsell Hannah , Zhou Shanshan , Festor Paul , Borsci Simone , Komorowski Matthieu , Nagendran Myura , Gordon Anthony , Buckle Peter , Hanna George , Faisal Aldo
Published: June 2024

This paper presents a human factors qualitative study on an AI application for managing sepsis in Intensive Care Units (ICUs). The study involved semi-structured interviews with nine ICU clinicians and nurses across three London hospitals. It consisted of two parts: the first applied methods to understand sepsis resuscitation processes and establish opportunities for the AI tool to mitigate gaps in the process. The second part examined adherence to AI recommendations based on factors like shift timing and user seniority, and whether shared risk in team decisions affects adherence. The findings revealed that while acknowledging the AI tool's potential benefits, participants would require a clear rationale explaining the AI results. They preferred AI suggestions that aligned with their views and did not risk patient safety, often seeking the confirmation of a colleague in uncertain situations. Overall, the study emphasised the cautious, context-dependent acceptance of AI recommendations in ICU settings. It also demonstrated the need for human factors studies to evaluate the user response to AI and its implications on decision-making.
Strategic Integration of AIGC in Asian Elderly Fashion: Human-Centric Design Enhancement and Algorithmic Bias Neutralization
Authors: Chen Hongcai , Jirawat Vongphantuset , Wang Yan
Published: June 2024

The advent of Artificial Intelligence Generated Content (AIGC) has catalyzed transformative shifts in the domain of fashion design, providing novel opportunities for customization and innovation. This research delineates the strategic integration of AIGC within Asian elderly fashion design, critically examining its role in augmenting human-centric design principles while addressing the prevalent algorithmic biases. The objective is to empirically assess the efficacy of AIGC in creating designs that resonate with the functional and aesthetic preferences of the elderly Asian demographic. Employing a mixed-methods approach, the study first delineates the current limitations and potential enhancements AIGC offers to the fashion design process. Through iterative design experiments, AIGC applications are evaluated for their capacity to accommodate the nuanced needs of the target population. Concurrently, a fuzzy evaluation method systematically quantifies the feedback from design practitioners, revealing the salient factors and their relative influence on the AIGC-driven design process. Findings from the study highlight the dichotomy between AIGC's potential for personalized design and the inherent risks of reinforcing biases. The analysis provides a granular understanding of the interplay between AIGC capabilities and user-centered design requirements, emphasizing the necessity for a calibrated approach that prioritizes ethical considerations. The study culminates in a set of actionable guidelines that advocate for the integration of comprehensive educational modules on AIGC technologies in design curricula, aiming to bridge the interdisciplinary gap and enhance designer preparedness. The conclusion underscores the imperative for ongoing scrutiny of AIGC outputs, advocating for the development of robust frameworks that ensure equitable and inclusive design practices. Through this research, a path is charted toward the responsible utilization of AIGC, fostering a fashion industry that is adaptive, empathetic, and attuned to the diverse spectrum of aging consumers in Asia.
Using ChatGPT to Support Criminal Investigations: A Comparative Study of AI and Human Query
Authors: Alotaibi Ahad , Baber Chris
Published: June 2024

This paper examines the role of advanced Artificial Intelligence (AI), particularly Large Language Models (LLMs) like ChatGPT, in supporting and enhancing criminal investigations. We focus on the integration of AI in query generation, intelligence analysis, and the interpretation of vast datasets to identify patterns and connections within criminal activities. Through a comparative study involving human participants and ChatGPT, we investigate the effectiveness of AI-generated queries in the 'North by Southwest' scenario, a simulated criminal case involving drug trafficking and money laundering. The ChatGPT study evaluates the AI's ability to generate a coherent investigation strategy and sequence investigative questions effectively. The human study, involving eight female Ph.D. candidates, assesses the strategies individuals employ when reasoning and developing hypotheses from ambiguous information, specifically focusing on three analytical approaches: following money, crimes, and people. Our findings highlight the complementary nature of AI and human analytical approaches. While ChatGPT provides a structured framework for sifting through evidence, human participants offer detailed, situational insights, particularly in connecting financial, criminal, and interpersonal elements. The study underlines the necessity of evaluating the accuracy and reliability of LLMs, considering the ethical implications and potential biases inherent in AI technologies. We conclude that a collaborative approach, utilizing both AI and human intelligence, can lead to more thorough and efficient investigations, ensuring that AI serves as an augmentative tool rather than a substitute for human expertise in the pursuit of justice.
Application of Artificial Intelligence, Machine Learning and Deep Learning in Piloted Aircraft Operations: Systematic Review
Authors: Tze Fung Lam Steven , H.S. Chan Alan
Published: June 2024

Aviation research on artificial intelligence (AI), machine learning (ML), and deep learning (DL) has seen significant growth as these emerging technologies hold immense potential for supporting both human-centred and technology-centred aspects of civil aircraft operations. This systematic review, following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020, was registered on the Open Science Framework (DOI 10.17605/OSF.IO/ZR7A3) and focused specifically on the use of AI, ML, and DL in human-centric flight operations. The review conducted a comprehensive search of databases including Scopus, Web of Science, IEEE Xplore, as well as online repositories (ResearchGate and Aerospace Research Central) to identify relevant articles published between 2013 and 2023. In total, 32 studies were included, which explored various applications of AI, ML, and DL in aircraft pilots and flight operations. The studies were categorized into four main areas: (i) assessment and management of human factors risks, including AI-assisted data analysis of pilot performance, crew resource management, and ML-based support for pilots’ cognitive workload monitoring, (ii) detection of human errors, with support systems based on ML-based approaches for real-time monitoring and DL models for biometric monitoring of cockpit pilots were identified for the detection of human errors in flight safety, (iii) reduction and prediction of human errors, categorized into AI-assisted predictive analytics in flight accidents, and ML-based pattern recognition to predict unstable approaches, and (iv) prevention of human errors in aviation through ML utilization for pilot training enhancement, and AI-supporting flight automation and decision support systems for flight operation. Analysis of the included studies revealed a rising trend in the publication of articles after 2020, albeit at a slow rate. It is worth noting that the majority of studies focused on conceptual applications, with fewer studies involving empirical testing. The findings of this review highlight the potential for future research in developing and testing improved human factors risk assessment (HRA) models assisted by computational intelligence in piloted aircraft operations, with the ultimate aim of enhancing flight safety.
Ethical Reflections on Computationally Enabled Design in the Age of Digital Intelligence
Authors: Jia Yijie , Shu Yi , Bu Jiamin
Published: June 2024

As technology continues to evolve and computer technology continues to improve, computational empowerment has become an integral part of our lives and work. When humans and machines begin to merge, we must be ready to embrace a whole new philosophy of life. In the field of design, the application of computing technology also provides designers with more tools and resources to create new works more efficiently, but computationally-enabled design also brings a series of ethical issues. In this regard, designers should seriously examine and think about the real function and value of computationally empowered design, and establish a design ethic that adapts to the needs of the times, in order to guide AI in a positive direction to promote social progress. This paper discusses the ethical issues and coping strategies of computationally empowered design in the age of digital intelligence mainly from three aspects and also three spatial and temporal dimensions.
Evaluation of the Effect of the Candle Holder Pattern on Concentration and Mental Stress
Authors: Nagayoshi Masamitsu , Kisu Keisuke , Watanuki Keiichi , Inoue Isao
Published: June 2024

In this study, we investigated the possibility of combining the concepts of candles and fractals to further enhance their relaxation and concentration effects. In the experiment, 30 participants performed the numeric addition task, followed by a rest task and then an addition task again. The three conditions of the resting task included a patterned and pattern-less candle holders and quiet resting condition without light (Control). Biometric measurements taken during the experiment, questionnaires administered before and after the experiment, and performance on the numerical addition task were used as evaluation indices. The results suggested that candle gazing significantly improved the concentration of the participants. In addition, the combination of candles and fractals caused more relaxation than the combination of candles alone.
Development of an AI Literacy Scale Using Multiple-Choice Questions
Authors: Li Xinyun , Gao Qin , Luen Patrick Rau Pei-
Published: June 2024

With continuously emerging and developing artificial intelligence (AI) technologies, we now have more opportunities to interact with AI agents, to use AI applications to assist our jobs, and to assess the solutions provided by AI. This ability to properly identify, use, evaluate, and collaborate with AI-related products is referred to as AI literacy (Long & Magerko, 2020; Wang et al., 2022). The objective of the current study is to develop an instrument to measure general users’ AI literacy by replacing subjective self-report questions with objective, multiple-choice questions. 12 questions were derived from four dimensions of AI literacy (i.e., awareness, evaluation, ethics, and future AI), and a total of 230 validated responses were collected through the online survey. After deleting an unqualified item, the explorative factor analysis revealed a 3-factor structure of the remaining 11 items in the AI literacy scale: interacting with AI products, understanding AI’s capabilities, and understanding AI’s limitations. Each sub-scale is of acceptable reliability and validity. Furthermore, we examined the relationships between AI literacy and actual use of AI products, digital literacy, the attitude towards AI agents, and individual characteristics such as gender and education. The results suggested that a higher level of overall AI literacy was associated with better digital literacy, and a more positive attitude towards AI agents. The ability to interact with AI literacy, however, was correlated with more negative feelings about AI agents. Gender and differences in education were shown to have a significant impact on AI literacy. This exploratory study contributes to developing a more objective measurement of general users’ AI literacy and provides some insights on users’ attitudes towards AI.