bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Drivers and Automated Vehicles team up for the better and the worse: a framework for the analysis of future accidents
Authors: Chajmowicz Henri , Van Elslande Pierre , Bigi Laura , Lesire Philippe , Baptiste Haué Jean , Chauvel Cyril , Buffat Stéphane
Published: January 2024

By and large, the so-called “Human Error” is considered as the main cause of traffic crashes – proportions of “more than 90%” of crashes “caused” by human errors are often mentioned in the press, in the political debate, even in scientific literature. By gradually removing the influence of human factors, the introduction of Automated Vehicles (AV) would then allegedly hugely benefit road safety. However, these analyses leave aside a few hard facts: human factors are often found in combination with other types of factors (e.g. environmental, traffic or vehicular) as generators of road crashes. Indeed, some studies suggest that it is only in about half of the fatal road crashes that human factors are the sole contributors – and can hence be labelled as “sole causers”. Confusions often arise because only the main or the final failure leading to the crash is mentioned by e.g., police forces collecting accident data. Moreover, precise analyses of crash-producing mechanisms highlight human factors relating to failures in the driving functions (e.g., perception failure, lack of anticipation, wrong decision) and human factors explaining these driving failures (e.g., low alertness or attention). AV will remain prone to the former type of failure and will avoid the latter to replace them with entirely new types of failures (e.g., inability to properly identify and classify an obstacle, to assess the intentions of other road users in mixed traffic). All these issues require new analysis models for retrieving the relevant information when collecting accident or safety critical event data and suggesting new road safety measures. Having recently published an entirely new Automated Driver Functional Failures (ADFF) model and an updated taxonomy for Human Functional Failures (HFF) leading to road crashes in the context of shared or delegated driving tasks between human and automated drivers, the authors propose to address, in the present paper, the Explanatory Factors for both types of failures. The analysis of traffic crashes shows that automated drivers didn’t perform as well as human drivers when confronted with conditions impairing their perception system or when driving in a complex environment. Most worrying would be that this complexity could result from failure to identify other road users or obstacles. Finally, although the introduction of AV could suppress some accident-causing human failures, e.g., willful violations of road rules, new features explaining human failures would appear, of which overtrust in AV out of ignorance of the automation’s limits would be an example.
Workforce Planning in Aviation: The implementation of Artificial Intelligence in Recruitment
Authors: Ziakkas Dimitrios , Sarikaya Ibrahim , Plioutsias Anastasios
Published: January 2024

The International Civil Aviation Organization (ICAO) is responsible for international standards and recommended practices (SARPs) to unify aviation globally through regulations and practices with safety, security, efficiency, and green policy of the highest interest. One component of ICAO’s standards is the documentation required to be on board an aircraft, as stated in Article 29, which mandates crew members to carry their “appropriate licenses,” evidence for their competence, and required hiring documents. However, barriers persist to standardizing electronic personnel licensing. ICAO is developing the required technical specifications to implement and verify personnel licenses globally. To support this transformation, IATA (International Air Transport Association) encourages airlines, companies, and aviation organizations to innovate modern solutions, using artificial intelligence and machine learning (AI/ML) to optimize operational goals. A starting point to support this conversion to electronic personnel licensing is during the employee recruitment phase. This research project focuses on implementing a potential pilot recruitment EPL system on digital platforms using visual and graphic design tools with UI/UX considerations for airlines, companies, and aviation organizations. The project followed a SWOT analysis, Safety-Risk Assessment, Benefit-Cost analysis, Sustainability Assessment, and Management of Change, and presented a Functioning digital prototype. The emerging selected technologies are AI/ML following the EASA AI classification Roadmap 2.0 (2023). The application benefit is the offered organizational culture adaptability and Key Performance Indicators selection following a Lean Six Sigma approach. Cybersecurity is granted following multiple layers design - user approach. Finally, the project takes into consideration accessible design features.
AI powered Social Communication: a Qualitative Investigation in to Social and Ethical Concerns
Authors: Yadav Vikrant
Published: January 2024

Social media has become an integral part of modern day lifestyle of new generation. The social media penetration in day to affairs is to such an extent that, there hardly is any day that goes without having any social media interaction. Although an easy way of distant communication and entertainment are the driving force behind emergence of social media platforms, in recent times it has been used to fulfil the undesired motives. Many instances of fake news, bias, spreading of hatred, deep fakes have been noticed. This paper is an attempt to conduct a conceptual analysis of AI technology alongwith the literary survey of impact of AI on social communication. Based on the qualitative literary survey, the author has proposed some recommendations, some of which includes, inclusion of social media ethics in school curriculum, international norms for use of social media platform etc.
Investigating AI Model Limitations in Recognizing Faces and Bodies in Ballroom Dance Settings
Authors: Ivy Huang Lewen
Published: January 2024

The advancement in the face and body detection algorithms has sparked an interest in using them to assist physical education and sports training, where AI can analyze students' body postures and movements to offer corrective guidance and prevent injuries. However, ballroom dance settings are uniquely different from traditional settings often used for face and body detection. On the one hand, most traditional face and body detection algorithms detect individuals instead of a collaborative dyad. Moreover, specific dancing postures may pose additional challenges for AI algorithms to detect. In order to unlock the power of AI in enhancing real-time feedback for dancers on their movements, postures, and expressions, there needs to be a thorough understanding of the capabilities of AI in analyzing complex dance sequences and identifying subtle nuances in body language. In this work, we examined four widely adopted body and face detection models on their effectiveness in detecting ballroom dancers. We found that these models shared key limitations. First, they are more likely to detect the man than the woman in the dyad, especially when the woman is curved backwards. Second, they often detect the couple as one person, mixing different body sections. Third, errors are frequent when the dancers do not face the camera or when they are wearing specialized costumes. This project offers suggestions to diversify the training datasets of such algorithms to make them suitable for new settings including ballroom dance.
DIGITAL EMPOWERMENT IN EDUCATION: EXPLORING THE DYNAMICS AND SIGNIFICANCE OF ICT – A REVIEW
Authors:   Research Scholar, Department of Commerce, ISBR Research Centre, University of Mysore,gisa.george93@gmail.com, George Gisa , Reddy Dr. Ravichandra ,   Associate Professor, ISBR Research Centre, University of Mysore
Published: January 2024

In the wake of the unprecedented global transformations triggered by the pandemic, various sectors underwent profound changes, with Education being notably affected. This prompted the exploration of novel approaches and refined methodologies to sustain continuous learning without encountering disruptions. Information and Communication Technologies (ICTs) emerged as pivotal change agents in the realm of education. Teaching, acknowledged as a profession that shapes individuals' character and destinies, faced challenges in adapting to digital platforms. This study delves into the digital literacy of educators, the hurdles encountered in embracing ICT, and the application of ICT in diverse teaching scenarios. Data for this research were gathered from faculty members across different undergraduate colleges in Bangalore city. ICTs have evolved into potent tools for fostering effective teaching and learning experiences. Notably, the assimilation of ICTs has heightened educators' confidence, transforming lessons into more engaging and interactive experiences for students. Observations suggest that the prudent use of ICT can serve as a catalyst, revolutionizing traditional teaching methods and ushering in an era of blended learning. The inclusion of diverse resources and technologies represents a significant development, benefiting both students and faculty members and ultimately ensuring the delivery of quality education. Keywords: - ICT, Teaching – Learning, digital technologies, Higher education, Technology, online learning
Cross Platform Application for Food Delivery Services
Authors:   Department of Computer Engineering, Zeal College of Engineering and Research, Pune,  Maharashtra, Parate Asst. Prof. Roshani
Published: January 2024

In the ever-developing field of food delivery services, the " Cross-Platform Application for Food Delivery Services " prototype project brings great solutions to close this gap. The project aims to create a comprehensive and user-friendly platform that perfectly meets the needs and demands of today's customers. With the proliferation of smartphones and the transition to online services and applications, food delivery has become an important part of almost everyone's life, that is, their daily life. However, existing applications often fall short of providing a real and personalized experience, leaving users with varying needs and priorities. The current problem is that existing food delivery applications have limitations or some shortcomings; This is because these apps lack important features like loyalty services, diet filtering for special meals, personalized recommendations and pre-orders or bulk orders. Users are faced with a fragmented experience that does not meet their personal preferences, nutritional needs and other needs. Our prototype aims to define the food app service concept by offering a cross-platform application with missing features. Loyalty services encourage user retention, purchases and reward user loyalty, custom filters help with dietary restrictions, personalized recommendations enhance user experience knowledge, and pre-ordering or multi-ordering streamlines or clarifies restaurant operations and services. The solution is designed to create a comprehensive, user-oriented and technological platform that defines the new online food business model for convenience and people's satisfaction of use. The " Cross-Platform Application for Food Delivery Services " model not only solves the current problems of food delivery services, but also leads to forward-looking innovation in this field. It promises seamless, personalized and visual delivery of perfect food. This project represents a significant step towards improving the user experience and opens the door to further growth in food service. Keywords— cross platform, prototype, food delivery, services.
Automated Software Process Discovery and Real-Time Monitoring
Authors:   CGI Information Systems and Management Consultants  Private Limited Bengaluru, Karnataka, India, Somarapalli Vinay , Vesepogu Nageswara ,   CGI Information Systems and Management Consultants  Private Limited Bengaluru, Karnataka, India
Published: January 2024

Process monitoring is the concept based on managing the state of a business processes executed in an enterprise software. The named status and execution time are two important parameters to infer the state of a process in real-time. An execution of the process end to end is called as process instance. This paper covers monitoring process instances in real-time based on the data metric generated from event logs, where data metrics of a Business Process Models (BPM) – a Weighted Directed Acyclic Graph (WDAG) represents process model with its heuristics such as complete execution time of process, execution time between steps/activities and the status. Firstly, the process model is discovered either by manually or automatically from the events that are recorded from the logs using unsupervised learning techniques and heuristics of different steps of a process are modeled using statistical methods. Both process model and its heuristics are deployed to help process engineers to understand the path of executions of a business process, its state and performance in real-time. Path of executions involves most successful path, longest and shortest paths, error state if the process instances abruptly ends in between, state of failure etc., On the performance front the range of time taken to complete the process, for each step, most and least time consuming, identifying the steps taking more time than usual etc., Process engineers/users are notified if abnormalities are observed. KEY WORDS Process Mining, Process Monitoring, BPM, PM4PY, Standard Deviation (SD)
The Transformative Impact of AI-Powered Tools on Academic Writing: Perspectives of EFL University Students
Authors: Selim Abir Sabry Mohamed
Published: January 2024

In today’s global context, EFL learners face the challenge of mastering a new language and academic writing, especially in higher education. The study investigates how AI transforms university-level EFL students’ academic writing skills, aiming to revolutionize their approach to written language for academic success despite language barriers. Using a mixed-methods approach, this study investigates the perspectives of fifty first-year female students at Al-Baha University, Saudi Arabia, during the 2023–2024 academic year, employing both qualitative and quantitative data analysis. Using a 5-point Likert-type questionnaire and Zoom interviews, the study clarifies EFL students’ perceptions of AI writing tools. Results from the questionnaire highlight the active usage of tools such as Grammarly and GPT-3 among students. Students favor the integration AI tools into coursework, although the level of support from instructors varies. EFL students see the positive impact on writing quality but remain unsure about confidence improvement. Interviews reveal diverse tool usage, with Grammarly and ChatGPT notably favored for their adaptability and cost-free nature. The study supports integrating AI writing tools into EFL university education, emphasizing benefits such as enhanced writing quality, time efficiency, and bolstered academic integrity. The paper highlights AI’s significant impact on EFL university students’ writing skills in today’s digitally reliant world where English holds key communication importance. It underscores AI-powered tools as valuable complements to conventional writing skills, emphasizing equitable access, guidance, and collaboration between AI and educators. The study suggests strategies for creating dynamic, tech-driven learning settings that empower EFL students in their writing tasks and academic endeavors.
Pedagogical Values and the Lawful Rules of Islamic Behavior in Consumption
Authors: Sadeh Hamdi S. I.
Published: January 2024

This research delves into the intricate relationship between Islamic pedagogical values and Muslim consumer behavior, drawing upon the timeless wisdom of the Quran and Sunnah. It establishes a valuable theoretical framework, supported by a generalized logistic model, to illuminate how Islamic principles influence spending decisions within permissible boundaries. The research meticulously outlines the lawful rules governing consumption in Islam, categorized by permissible and prohibited actions to guide Muslims in their choices.

Key findings reveal the holistic nature of Islam, highlighting its comprehensive influence on all aspects of life, including consumption. Islamic pedagogical values emerge as a powerful force in shaping behavior, weaving a tapestry of rules encompassing obligations like adhering to Halal principles, and prohibits extravagance, wastefulness, and stinginess. Moderation emerges as a cornerstone, steering consumers away from both extremes and illustrating how the Islamic framework accommodates increased income without necessarily leading to a proportional increase in consumption. The research challenges mainstream economic assumptions, presenting Islam’s perspective on spending and shedding light on the religious dimensions that shape consumer behavior within an Islamic framework.

Beyond economic principles, the research highlights the exemplary life of Prophet Muhammad, offering practical examples of simplicity, moderation, and ethical consumer behavior, even in challenging circumstances. It advocates for integrating these values into decision-making processes, particularly in consumption matters, encouraging individuals to align their financial choices with Islamic jurisprudence and contribute to the overall well-being of the Muslim community.

In conclusion, this research significantly enhances our understanding of Muslim consumer behavior, emphasizing the role of pedagogical values and lawful rules. The findings hold valuable implications for stakeholders like marketers, policymakers, and businesses seeking to engage with Muslim consumers, offering insights into product categorization and tailored engagement strategies. The research also introduces practical tools for further analysis and exploration, while acknowledging limitations and encouraging future research to refine our understanding across diverse cultural and religious landscapes.
Examining the Influence of Nostalgic Versus Informative Advertising on Persuasion Process and Brand Attachment
Authors: Lefi Leila , Gharbi Abderrazak
Published: January 2024

Nostalgia is actually a concept with great interest for researchers in different domains such as marketing. Several studies underlined the potential that nostalgia has for persuasive advertising. Despite theoretical relevance, little is known about the real impact of nostalgic advertising style on brand attachment. This research investigates the impact of the ad capacity to evoke nostalgia on persuasion process and brand attachment in the food industry. To test the relationship between variables, an experiment including two different advertisement style was conducted on 360 individuals in Tunisia. We used structural equation modelling to test the conceptual model. The results indicated that nostalgic ad has some more favorable responses of consumers than the informative ad. Also, it appears that past orientation has a positive impact on nostalgia proneness that can explain the positive reaction of the individuals to the nostalgic ad and brand attachment. This research provides empirical insight into the brand attachment literature and can be considered as a source of information for managers who wish to target consumers through nostalgic persuasive communication. Limitations and future research directions are stipulated.
Personal Branding: A Systematic Literature Review
Authors: Osei Alex Bonsu , Anim-Wright Koryoe
Published: January 2024

Personal branding has attracted significant interest from researchers and practitioners in the last decade. There have been numerous scientific studies covering different facets of personal branding. However, studies covering the scope of the interest need to be more comprehensive. The paper analyzes various research papers on personal branding, encompassing theoretical underpinnings, the strategic nature of personal branding, and future research opportunities identified by the different articles. The review identified four major themes: personal branding skills and attributes, the strategic nature of personal branding, personal branding, and personal branding, politics, and social media. These findings give a broader view for further research and practical application.
An Analysis of the Palestinian Foreign Trade During the Period 1995–2022: A Gravity Model Approach
Authors: Sadeh Hamdi S. I.
Published: January 2024

This research investigates the determinants of Palestinian foreign trade by conducting a comprehensive analysis of various factors influencing both export and import volumes, using the gravity model as the analytical framework. The considered determinants include per capita GDP, Consumer Price Index (CPI), trade agreements, Israeli closure of commercial borders, and Geographical Distance. In terms of exports, the results demonstrate a statistically significant positive relationship with per capita GDP, affirming the hypothesis that heightened economic growth is associated with increased exports. On the import side, the Consumer Price Index (CPI) reveals a statistically significant positive association, showing that increased inflation is linked to a decline in imports, likely due to reduced purchasing power. Contrastingly, trade agreements show a complex relationship with both positive and negative potential impacts on both exports and imports. The complex nature of its impact necessitates further investigation. The Israeli closure of the commercial borders significantly hampers both import and export volumes, underscoring the challenges imposed by Israeli restrictions. Geographical Distance does not emerge as a significant factor in either exports or imports, challenging established economic theories regarding the impact of proximity on trade volumes. The research findings highlight the profound impact of Israeli occupation policies on the Palestinian economy, resulting in significant economic distortions and impeding economic development over several decades. Furthermore, the research shows the inability of the Palestinian Authority to implement independent economic policies due to the dominant role of Israel in decision-making processes. This inability, combined with the significant economic distortions caused by Israeli occupation policies, hinders further economic growth and development, as the Palestinian Authority cannot undertake crucial economic initiatives.
Guidelines for the Application of Design Thinking Processes in School Administration of School Administrators Under the Secondary Educational Service Area Office, Phitsanulok, Uttaradit
Authors: Inchuen Sakkumpa , Meethong Nopmanee , Janto Numpong , Wechayaluck Nirada
Published: January 2024

The purpose of this research is twofold: 1) to study the application of the design thinking process in school administration under the Secondary Educational Service Area Office, Phitsanulok, Uttaradit, and 2) to explore the implementation of design thinking process in school administration of school administrators under the Secondary Educational Service Area Office, Phitsanulok, Uttaradit. This is a qualitative research study conducted using a sample of 57 educational administrators and 7 qualified personnel as participants. The research tools utilized include document analysis, questionnaires, and interviews, with statistical analysis involving mean values and standard deviations. The research findings indicate that: 1) The application of the design thinking process in school administration of school administrators is at its highest level. When considering each aspect, it was found that the model prototypes had the highest average, while data synthesis had the lowest average. 2) In terms of guidelines for applying design thinking processes in school administration, it was observed that confidence, empathy in work, and awareness of problems with open-ended questioning encourage creativity. Motivating and encouraging the expression of different ideas by participating in the development of models for use in problem-solving and the collection of information of suggestions, for improvement and development were key factors.
Strategy-Based Math Instruction for Secondary Students with Learning Difficulties: A Replication Study
Authors: Grünke Matthias , Karnes Jennifer , Barwasser Anne , Burke Mack
Published: January 2024

This paper presents a replication study investigating the effectiveness of a strategy to assist students with learning difficulties in adding fractions. Drawing on the research conducted by Grünke et al. (2023), this single-case analysis extends the application of the Look, Ask, Pick (LAP) mnemonic technique initially introduced by Test and Ellis (2005) to struggling sixth-grade students. Employing a multiple-baseline design, we implemented the LAP strategy with four participants in a time lagged fashion. Significant improvements were observed in their fraction performance, demonstrating the intervention’s potential to enhance understanding and proficiency. The students highly appreciated the strategy, deeming it of great importance. In conclusion, we address the limitations of our study, propose directions for future research, and delve into the implications for teachers. This research contributes to the understanding of fraction interventions and offers valuable insights into facilitating the mathematical progress of students facing challenges.
The Imagineering Learning via Metaverse: ILM Model via Metaverse to Promote Creative Thinking Skills
Authors: Wongla Atthaphon , Chatwattana Pinanta
Published: January 2024

The ILM model to promote creative thinking skills is concerning the application of the concepts of virtual technology in the instruction management, which is consistent and appropriate for learners in the digital age, so that they are able to learn anywhere and anytime by means of the brand-new teaching innovations. The objectives of this research are (1) to synthesise the conceptual framework of the ILM model, (2) to develop the ILM model, and (3) to study the results of the development of the ILM model. The research tools include (1) the ILM model, and (2) the evaluation form on the suitability of the ILM model. The results show that (1) the overall suitability of the ILM model (overall elements) is at the highest level (Mean = 4.88, SD = 0.14), and (2) the overall suitability of the ILM model is at the highest level (Mean = 4.90, SD = 0.18). This can be summarised that the ILM model is a kind of learning model that was developed by applying the concepts of virtual technology and imagineering learning process that can be used as guidelines to learn anywhere and anytime for the 21st century learners.
Design of the Architecture of the Virtual Learning Community: VLC via Metaverse to Promote Digital Teacher’s Competency
Authors: Netniyom Sriwichai , Chatwattana Pinanta
Published: January 2024

The architecture of the virtual learning community via metaverse, or VLC via metaverse, to promote digital teacher’s competency is related to the application of the concepts of virtual learning community integrated with virtual reality technology to promote the competency of teachers in the digital age. This is also to equip these teachers with comprehensive digital competency in order that they can apply it in the instruction management in a more efficient manner. In addition, this competency is believed to encourage teachers to have a step-by-step thinking process and enable them to use information technology media more practically with more understanding and creativity. The objectives of this study are (1) to synthesize the conceptual framework of the VLC via metaverse to promote digital teacher’s competency, (2) to design the architecture of the VLC via metaverse to promote digital teacher’s competency, and (3) to study the results of the design of the architecture of the VLC via metaverse to promote digital teacher’s competency. The participants in this research are 7 experts from different institutions, all of whom are specialized in the design and development of instruction systems. The research tools include (1) the architecture of the VLC via metaverse, and (2) the assessment form on the suitability of the architecture of the VLC via metaverse. The results of this research show that (1) the overall suitability of the design of the architecture of the VLC via metaverse (overall elements) is at the highest level (Mean = 4.71, SD. = 0.57), and (2) the overall suitability of the design of the architecture of the VLC via metaverse is at the highest level (Mean = 4.70, SD. = 0.52).
Investigation of the Current Situations Desired Conditions, and Essential Requirements for Participation in the Quality Assurance Processes of Small Schools Under the Office of the Basic Education Commission
Authors: Posri Somchai , Chansirisira Pacharawit
Published: January 2024

The objective of this study is twofold: 1) To examine the current situations, desired conditions, and requirements for participation in quality assurance efforts of small schools under the Office of the Basic Education Commission. 2) To explore developmental guidelines for enhancing the quality assurance practices of these educational institutions. The research methodology involved: 1) surveying to assess the current situations, desired conditions, and essential requirements; and 2) investigating development guidelines embedded in the working processes of three schools with the best educational assurance practices. The sample groups included 385 persons who were school administrators and teachers. Research tools included a survey form, interview forms, and an assessment form, which was verified and approved by nine qualified individuals. Data analysis involved content validation and factor analysis. The statistics also indicated the correctness, appropriateness, feasibility, and utility of the information. The statistical techniques used in the research included basic statistics and the analysis of essential requirements. The findings of the study revealed the following:

1) The current situation of the participation in educational quality assurance efforts of the small schools was rated at a moderate level, with the highest level of the desired conditions. An area of the requirements that was rated with the highest score of development priority was active participation in quality assurance.

2) The developmental guidelines for quality assurance practices in educational institutions encompassed five domains with a total of 16 strategies. The experts’ evaluation of these domains indicated a high level of accuracy, while appropriateness, feasibility, and utility were scored at the highest level.
Effective Approaches to Teacher Professional Development in Thailand: Case Study
Authors: Erawan Prawit , Erawan Waraporn
Published: January 2024

This research aimed to investigate effective approaches to teacher development as a meaningful form of professional development (PD). The objective was to assess the impact of teachers’ learning as an approach to PD and to summarize best practices. The study involved teachers from two primary schools who participated in the Healthy School Empowerment Project, a four-year collaborative learning initiative designed to support educators in improving classroom instruction and enhancing school performance. The findings revealed the most effective approaches for professional development and enhancing teachers’ learning include establishing the school as a professional learning community (PLC), implementing teacher-as-learner programs, providing coaching by master teachers, and fostering teacher networks. Bottom of Form
Education and Learning Guidelines for the Preservation and Protection of Qinghai Mongolian Folk Songs in China
Authors: Meng Genqiqige , Chuangprakhon Sayam
Published: January 2024

This study aims to develop comprehensive education and learning guidelines aimed at preserving and protecting Qinghai Mongolian folk songs in China within the broader context of intangible cultural heritage. With a strong theoretical foundation emphasizing the role of education, interdisciplinary approaches, and community engagement, this study employs a multidisciplinary methodology. This includes an extensive literature review, expert consultations, fieldwork, and case studies to develop comprehensive education and learning guidelines for the safeguarding of Qinghai Mongolian folk songs. The historical evolution of Mongolian folk songs, legal frameworks, collaborative efforts, government-led initiatives, the role of social forces, published resources, and higher education institutions all feature prominently in the research results. These findings align with the theoretical principles outlined in the literature review, emphasizing the importance of education, interdisciplinary approaches, and community engagement in ICH preservation. The education and learning guidelines generated by this research serve as a valuable framework for the sustainable protection of Qinghai Mongolian folk songs and offer insights applicable to the preservation of intangible cultural heritage globally.
3-S BOM: Pioneering Sustainability-Scoring-System for Multi-Functional Product Configurations Based on ESG and Circularity
Authors: Calabrese Mario , Mercuri Francesco , Bosco Gerardo , Leidich Jonathan , Giunta Sophia
Published: January 2024

The Bill of Materials (BOM) is the primary place where product configurations are formulated and designed. Despite its critical role, the BOM falls short in addressing sustainability concerns. The current state of the art does not capture data on the sustainability performance of suppliers of listed components. Furthermore, the BOM neglects synthetic information on reusability and circularity of components. To overcome these limitations, this study proposes the introduction of a Sustainability-Scoring-System (3-S BOM). The aim is to upscale the traditional BOM to the new sustainability market demand. The 3-S BOM has two purposes: to integrate synthetic data on sustainability and to allow further configurations of products based on diversified sustainability profiles. Specifically, each component, sub-assembly and assembly within the BOM is assigned an Overall Sustainability Score (OSS), which covers three key sustainability areas On the supplier side, an ESG score will be representative of the supplier’s level of sustainability, while on the component side, a Hazardous Substances and Virgin Materials (HV) indicator and a Hazardous Substances and Virgin Materials Circularity (HVci) indicator will assess the sustainability of the components, taking into account their composition and circularity. The customer is actively involved in defining the sustainability profile of the purchased product by defining how the ESG, HV and HVci must influence the final assembly of the purchased product, choosing between different levels of specificity.
Caffeine Levels and Dietary Intake in Smokers with Schizophrenia and Bipolar Disorder
Authors: Gupta Yash , Rai Vishal , Khan Soban , Yadav Reena , Bano Nisha , Shukla Amrita
Published: January 2024

This study investigates the relationship between caffeine levels and dietary intake among individuals with schizophrenia and bipolar disorder who are smokers. The research aims to understand the patterns of caffeine consumption and dietary habits in this specific population. A sample of participants diagnosed with either schizophrenia or bipolar disorder and who smoke will be analyzed to assess their caffeine intake through self-reported measures and biological markers. Additionally, their dietary patterns, including the consumption of caffeine-containing products and nutritional choices, will be evaluated. The findings of this study aim to contribute to a better understanding of the dietary behaviors of individuals with mental health disorders, specifically focusing on caffeine intake among smokers with schizophrenia and bipolar disorder.
Composition of aboveground phytomass of subalpine fens in Teberdinsky National Park
Authors: Gulov Davut Meretgeldievich , Fedorov Nikolai Ivanovich , Logvinenko Oksana Anatolievna , Onipchenko Vladimir Gertrudovich
Published: January 2024

The composition of the aboveground phytomass of unique subalpine plant community Teberdinsky National Park – the subalpine fens – has been studied. The aboveground vascular plant biomass averaged 264±12 g/m2 , the species of Cyperaceae prevailed (41%), the role of forbs (37%) and grasses (21%) is smaller, the remaining groups of vascular plants and lichens are very rare. Bryophytes are abundant (31,2% of total aboveground phytomass). Communities have polydominant structure, the largest aboveground biomass is formed by Carex nigra (26,1%), Nardus stricta (15,8%), Cirsium simplex (13,4%), Primula auriculata (6,7%), Blysmus compressus (5,2%), Swertia iberica (5,2%). Mortmass store is relatively small (168±12 g/m2 ), which indicates a high rate of decomposition and an intensive biological cycle.
Emotional intelligence and pedagogical practice in teachers: a Scopus bibliometric study
Authors: Carhuapoma Carlos Nelly Beatriz , Hernandez Zavaleta Cinthia Fiorela , Ramos Fuentes Daniel Ángel
Published: January 2024

The purpose of this study was to conduct a bibliometric study in Scopus on emotional intelligence and pedagogical practice in teachers between 2008 and 2023. The research strategy was based on bibliometric analysis as a means of quantifying academic production. Sixty Scopus publications were chosen for the study based on their relevance and English keywords (emotional AND intelligence, pedagogical AND practice). The results showed that between 2018 and 2023 (n=47; 78,3 %) there was the largest increase in scientific production. In addition, one of the main sources was Advances in Intelligent Systems and Computing, while Dewaele, J.M. was the most referenced author (84 citations; 4 papers). Sixty-eight percent of the publications were research articles in the fields of social sciences (43 %), arts and humanities (14 %), and psychology (11 %). It is concluded that the thematic diversity, authorship, sources and available resources have been increasing with respect to emotional intelligence and pedagogical practice in teachers. Thus, this bibliometric analysis serves as a framework for future research by presenting documented support.
The flipped classroom in text comprehension: a bibliometric review
Authors: Alcayhuamán Gil Sonia , Sánchez Rojas Belisario , Santander Rodriguez Kriss Vanessa , Suárez Obregón Evert Segundo
Published: January 2024

The present study aimed to conduct a bibliometric analysis of the flipped classroom in text comprehension between 2014 and 2023. This study used bibliometric analysis as the main tool to analyse academic output. Scopus was used to select 76 papers for the study based on English keywords (flipped AND classroom and text AND comprehension). The years 2016, 2022 and 2023, which accounted for 38 academic publications (or 50 % of the total), had the most significant influence on scientific output in terms of percentage increase. Among the countries that stand out, the United States accounted for 28,6 %. The most relevant publication sources, with n=3 each, were BMC Medical Education and Journal of Chemical Education. Of all the authors, Khazaie, S. obtained the most citations (44) in his two papers. Of the total number of papers, 92 % were scientific articles, of which 44 % were from the social sciences and 9 % from computer science. It can be concluded that the classroom invested in text comprehension has made significant progress in terms of subject variety, authorship, sources and accessible resources. This bibliometric study can therefore serve as a basis for future studies.
Mediational analysis of empathy in the relationship between moral disconnection and dating violence in peruvian youths
Authors: Condori Contrera Ester , Rosario Quiroz Fernando Joel , Ramos Fuentes Daniel Ángel , Morí Holguín Jesús Yolanda , Yaya Castañeda Elena Esther , Villanueva-Batallanos Marilyn
Published: January 2024

The purpose of the study was established to obtain the correlation of moral disconnection with the emission of violence executed in the field of courtship in young people with characteristics of high empathy in Lima Centro. The MMDS-S instruments were used to evaluate moral disconnection, in addition to CUVINO to measure the violence used in dating. It was carried out by young people between the ages of 20 and 26, with a total of 133. Based on the analyses, a moderate correlation was observed between the variables (Rho = 0,30), moral disconnection manifested a moderate interaction with coercion being the dimension of dating violence (Rho = 0,38), and the second variable acquired a moderate correlation with the dimension of rationalization (Rho = 0,35) therefore, there was a moderate correlation of the variables with the male sex and weak with the female sex. Finally, when acquiring behaviors of moral disconnection, indicators of the violence used in courtship are demonstrated.
Level of anxiety in university teachers during COVID-19 attending a hospital in Callao, Peru
Authors: Asencios-Trujillo Lucia
Published: January 2024

Anxiety in university teachers is a great challenge since the pandemic originated, and it generates a significant impact on their well-being and work aspect, therefore, the objective of the research is to determine the level of anxiety in university teachers during COVID-19 who go to a hospital in Callao. It is a quantitative, descriptive and cross-sectional study, with a population of 89 university teachers who answered a questionnaire of sociodemographic data and the Beck Anxiety Inventory. In its results, 75,3 % (n=67) of the workers have no anxiety, 9 % (n=8) mild anxiety, 11,2 % (n=10) moderate anxiety and 4,5 % (n=4) severe anxiety. In conclusion, preventive strategies should be implemented for mental health intervention aimed at university teachers in emergency and disaster situations.
Psychological distress in diabetic elementary school teachers treated at a private health care institution in northern Lima
Authors: Saberbein-Muñoz Juan , Hilario-Quispe Christian , Salinas-Cruz Maria
Published: January 2024

Psychological distress is all the concern and discomfort presented by diabetic primary school teachers due to situations that make them vulnerable. Therefore, the objective of the research is to determine psychological distress in diabetic primary school teachers attending a private health institution in North Lima. It is a quantitative, descriptive, cross-sectional and non-experimental study, with a population of 100 diabetic elementary school teachers, who answered a questionnaire of sociodemographic aspects and the stress scale for diabetic elementary school teachers. In their results, 95 % (n=95) of primary school teachers with DM2 have a high level of psychological distress, 4 % (n=4) medium level and 1 % (n=1) low level. In conclusion, according to our results tend to be very significant, since we highlight the importance in the approach not only from medical issues, but also at the psychoemotional level of each person.
Empathy in nursing interns at a university located in metropolitan Lima
Authors: Saberbein-Muñoz Juan , Hilario-Quispe Christian , Salinas-Cruz Maria
Published: January 2024

This research covers the empathy of nursing interns, in which it seeks to understand the influence that empathy has on interns, and thus be able to have a good professional training, therefore the objective of the study is to determine empathy in nursing interns of a university located in Metropolitan Lima. It is a quantitative, descriptive, non-experimental study, made up of a total of 112 participants who filled out a survey of sociodemographic data and the Jefferson empathy scale. In their results, 24,1 % (n=27) have high empathy, 55,4 % (n=62) medium and 20,5 % (n=23) low. In conclusion, the lack of empathy in the interns highlights the need for strategies to strengthen the connection with patients, and thus improve overall care.
Analysis of the factors involved in customer service at La P'tite France bakery
Authors: Gamarra-Bohorquez Brigitte , Collahua-Medina Maricielo , Zarate-Ruiz Gustavo , Meneses-Claudio Brian
Published: January 2024

The main objective of this work is to describe the impact of the factors that intervene in customer service at the La Ptite France bakery in Surquillo in the year 2023. The methodology used in the research was of a basic type with a qualitative level approach, also counting on the case study design. The main instruments for data collection were the interview guide that was applied to a selected group of the bakery, also the observation guide in the same way applied to the interviewees and finally the documentary analysis.
It was obtained as a result that customer service is a main point for the bakery, since it not only produces the breads, but also has trained personnel to capture the customer's attention, when they enter the premises to make a purchase or just to consult about the variety of breads that the bakery has. Likewise, the interviewees told us that it is important to have trained personnel, they also carry out strategies to build customer loyalty and satisfy, as their infrastructures currently have a small space, they are also analyzing a new infrastructure in the premises, implementing a second floor.
It is concluded that it is important that companies that have staff are constantly trained to obtain improvements regarding customer service and this makes them feel that the company cares about them by providing good service and attention in terms of their requirements and needs, since in every company today it is at the forefront of what is happening around it and more so if they have competition in the same area, which is why the research work and the contribution it provides to mypes that start and undertake and see an opportunity to learn and execute what is proposed.
Legal Re-Construction; The Impact of Empty Column Victory Over Single Candidates in Simultaneous Direct Elections of Regional Heads as A New Phenomenon of Legal Politics in Indonesia
Authors: Jaya Apriliani Kusuma , Ilyas Ilyas
Published: January 2024

This study examines the legal re-construction of the victory impact of an empty column over a single candidate as a new phenomenon of legal politics in Makassar City, South Sulawesi, Indonesia. This is a doctrinal normative legal research, which uses the analytical, explorative, explanatory, and qualitative analysis techniques. The result showed that legal reconstruction needs to be carried out on disputes, policies of single candidate pairs and empty columns, nomination requirements and political party support for candidates. The legal construction also needs to be conducted on the phrase "next election," the emptiness of definitive city government leaders, postponement and legal uncertainty, establishment of Provisional Acts (Pjs), as well as the loss of the constitutional rights of communities and regions.. Legal reconstruction also needs to be carried out through the political management of post-conflict local elections with changes in legal policies Law No.10 of 2016, PKPU No.13 of 2018, Minister of Home Affairs Regulation (Permendagri) No. 1 of 2018.
Analysis Of Structural Assurance, Integrity, Easy of Use And Brand Image On Trust In Use Of P2P Lending
Authors: Dewi Cynthia Sari , Dominggus Aldi
Published: January 2024

Peer to Peer (P2P) lending has a role as an intermediary platform for lenders and borrowers to conduct transactions without having to go through bank. However, so many P2P Lending cases that reduce public confidence in using P2P Lending. Gradana is one of the P2P lending companies registered with the Financial Services Authority (OJK). Although P2P lending investors have decisions that refer to adverse selection, Gradana shows good performance. This study aims to analyse the factors that influence trust in using P2P lending by adopting trust theory. The sample was 100 respondents from retail investors in Indonesia. The study using SmartPLS4 software. The results showed that integrity has a positive influence and significant on trust in use, while brand image, ease of use and structural assurance has no positive impact on trust in use. The results are expected as reference for companies in increasing the trust of P2P lending users.