Integration Of Tools Research Articles

Transition of EDA Tools for Advanced Packages Supporting Heterogeneous Integration

Transition of EDA Tools for Advanced Packages Supporting Heterogeneous Integration

An integrated tool for cost-effectively applying nutrient management practices for corn, soybeans, and wheat.

Harmful algal blooms (HABs) problem in Lake Erie has become critical recently-primarily triggered by phosphorus losses from cropland in the Maumee River watershed (major crops of corn/soybeans/wheat). Implementing agricultural best management practices (BMPs) is crucial to reduce excess nutrient loadings. Nutrient management is the management of nutrient applications for crop production that maximizes nutrient use efficiencies and minimizes nutrient losses. However, an integrated watershed-scale tool is needed for cost-effectively applying nutrient management practices for corn/soybeans/wheat considering the 4Rs (Right nutrient source, Right rate, Right time, and Right place of nutrient applications). In this study, by combining an improved Soil and Water Assessment Tool (SWAT) for nutrient management (SWAT-NM) and an improved BMP Cost Evaluation Tool (BMP-COST) for economic evaluations of nutrient management (BMP-COST-NM) considering the 4Rs for corn/soybeans/wheat, an integrated tool SWAT-COST-NM was created. SWAT-COST-NM was demonstrated in the AXL watershed (a typical agricultural area in the Maumee River watershed). The impacts of single nutrient management practices (single-NM, which separately changed the rate, place, time, or nutrient source of fertilizer applications) and combined-NM practices (multiple single-NM practices combined as one nutrient management practice) for corn/soybeans/wheat were evaluated. Tradeoffs in yearly net costs, crop yields, and March-July/yearly nutrient losses (Total Phosphorus-TP, Dissolved Reactive Phosphorus-DRP, and Total Nitrogen-TN) existed. Nutrient management did not necessarily lead to sufficient increases in crop yields to generate extra revenues that match or exceed the additional costs of the activities (compared to existing practices). One of the combined-NM practices could simultaneously reduce March-July TP, DRP, and TN losses by 5.89%, 8.19%, and 8.23%, respectively, while increasing crop yields with additional income (0.50 $/ha/yr of cropped area). SWAT-COST-NM, which can quantify various factors and tradeoffs when evaluating the impacts of nutrient management practices for corn/soybeans/wheat, can assist decision-makers in cost-effectively applying nutrient management practices considering the 4Rs.

Scalable Parking Management Using Cloud Infrastructure and DevOps

This project presents a scalable parking management system built using PHP and SQL, integrated with cloud infrastructure and DevOps methodologies. The system dynamically scales to handle high traffic using cloud auto-scaling and load balancing techniques, ensuring reliable performance. By leveraging containerization, continuous integration, and monitoring tools, the project automates deployments and ensures minimal downtime. The goal is to provide an efficient and resilient solution to parking management challenges, enabling seamless user experience during peak times while maintaining system integrity and availability.

Metadata harvesting for digital library integration in Ukraine: a comparative study of the OAI-PMH protocol and VuFind’s efficacy

Purpose This paper aims to the problem of building an environment to support scientific research in connection with the development of Open Science in Ukraine. Design/methodology/approach An overview of modern portals for aggregating scientific data was conducted. Analysis of available tools and identifying problems that arise when collecting data from digital libraries and journals was conducted. The validity of choosing VuFind as a tool that allows building an extraction–transformation–loading (ETL) approach for data aggregation and bringing the format and values of metadata fields to one view was experimentally verified. Findings During the experimental verification, problems related to the fact that the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) protocol does not have strict requirements for the data structure, which lead to the complexity of integration, despite the fact that this protocol occupied a leading position, were noted. To simplify these problems, an ETL approach that allowed for the use of ontological methods (e.g. data mapping, linked data and dictionaries to improve the semantics of data for integration processes) was considered. A review of the possibilities of modern tools for OAI-PMH integration, which were actively supported and developed, was conducted. Originality/value This paper was an attempt to outline the problems that arose in integrating resources, with the aim of developing future integration protocols that would have simple means of semantic data validation and built-in ETL mechanism.

Implementing agile management practices in the era of digital transformation

In the era of digital transformation, organizations face unprecedented technological changes that demand a shift toward more adaptive and responsive management practices. This paper Analyses how organizations can strategically implement agile management practices to navigate these rapid changes effectively. Agile management emphasizes flexibility, collaboration, and customer-centricity, enabling organizations to respond swiftly to market dynamics and evolving customer needs. By adopting frameworks such as Scrum, Kanban, and Lean, companies can enhance their management processes, fostering a culture of continuous improvement and innovation. The paper explores the fundamental principles of agile management and their relevance in the context of digital transformation. It discusses how cross-functional teams, iterative development, and regular feedback loops can facilitate quicker decision-making and enhance collaboration among stakeholders. Additionally, the integration of digital tools, such as project management software and communication platforms, supports agile methodologies by streamlining workflows and improving transparency. Key considerations for successful implementation include aligning agile practices with organizational goals, investing in employee training, and promoting a mindset that embraces change. The paper highlights real-world case studies demonstrating the successful application of agile management in various industries, showcasing its potential to improve responsiveness and operational efficiency. Ultimately, this analysis underscores the critical role of agile management practices in enabling organizations to thrive amidst the challenges of digital transformation

The Orientation in Space of the Maxillary Arch: New and Old Devices in the Prosthetic Digital Workflow.

In extensive prosthetic rehabilitations and in those involving the anterior area, a correct 3D spatial position is of fundamental importance for effective communication between the clinician and the dental technician. The aim of this article is to analyze the different methods used to position in space and/or in an articulator the maxillary arch in analog workflows highlighting shortcomings and difficulties in order to understand how to overcome them when employing digital workflows. Traditional mechanical devices, such as anatomical, kinematic, esthetic and postural facebows, have clear indications, but also limitations, especially in cases of skeletal asymmetries. Modern digital tools, including photography, CBCT, facial scanners and jaw recording devices, are here critically analyzed to illustrate the advantages of working in a virtual space. The adoption of digital tools in the prosthetic workflow represents a significant improvement compared to traditional techniques, as it reduces errors and artifacts of registration and transfer of the position of the maxillary arch in the articulator space. This contributes to more predictable esthetic and functional results, with a positive impact for clinicians and technicians, improving clinical-laboratory communication, operational efficiency and overall quality of work. The integration of digital tools into prosthetic workflows represents an important advancement in clinical practice since they reduce human error and facilitate communication between the clinician and the laboratory. When carrying out rehabilitations involving changes in esthetics or occlusal plane orientation, the proper and accurate positioning of the upper arch in space is particularly relevant.

The Role of Artificial Intelligence (AI) and machine learning in social work practice

The integration of Artificial Intelligence (AI) and Machine Learning (ML) into social work practice is transforming the landscape of service delivery and decision-making. This paper explores how these technologies enhance case management, predictive analytics, and resource allocation in critical areas such as child welfare, mental health, and substance abuse treatment. Key trends highlighted include the use of AI-based predictive analytics to identify at-risk populations and facilitate early interventions, as well as the deployment of chatbots and virtual assistants for providing accessible mental health counselling and social support. Furthermore, the paper addresses ethical considerations and challenges associated with AI implementation, particularly the potential biases in algorithms that may affect the assessment of social needs. Additionally, the integration of AI tools into social work education and training is examined to prepare future professionals for a technology-driven environment. By analysing the current applications of Natural Language Processing (NLP) for client data analysis, AI-powered software for predictive risk assessments, and automated case management systems, this paper advocates for a balanced approach to AI adoption, ensuring that the core values of social work, such as equity and social justice, remain central to practice. Ultimately, this exploration underscores the potential of AI and ML to enhance social work outcomes while also emphasizing the necessity of ethical frameworks and ongoing training for practitioners.

A sales force effectiveness framework for enhancing healthcare access through pharmaceutical sales and training programs

This paper introduces a conceptual framework aimed at enhancing sales force effectiveness within the pharmaceutical industry, specifically focusing on improving healthcare access through optimized sales training programs and customer relationship management (CRM) systems. The proposed framework recognizes the critical role that pharmaceutical sales teams play in facilitating healthcare delivery, particularly during public health crises. It emphasizes the integration of effective training strategies and advanced CRM tools to enhance engagement with healthcare professionals, thereby improving product distribution and patient outcomes. The framework comprises three essential components Sales Force Training Enhancement, which focuses on developing targeted training programs that equip sales representatives with the necessary skills and knowledge to effectively communicate the value of pharmaceutical products to healthcare providers. This includes understanding clinical data, addressing healthcare providers’ concerns, and fostering a consultative selling approach. Secondly, CRM System Implementation, which underscores the significance of adopting robust CRM systems that streamline interactions between sales teams and healthcare professionals. By leveraging data analytics and customer insights, pharmaceutical companies can tailor their approach to meet the specific needs of healthcare providers, thereby enhancing relationship-building and communication. Thirdly, engagement and Outcome Measurement, which highlights the importance of measuring engagement levels and patient outcomes resulting from effective sales strategies. This component advocates for the use of key performance indicators (KPIs) to assess the impact of training and CRM initiatives on product distribution and healthcare access. The framework ultimately aims to foster a more collaborative environment between pharmaceutical sales teams and healthcare professionals, ensuring that patients receive timely access to essential medications and services. By focusing on the strategic integration of training and CRM systems, this framework presents a comprehensive approach to improving sales force effectiveness in the pharmaceutical sector. Future research and practical applications of this framework can further explore its implications for enhancing healthcare access, particularly in times of public health challenges.

Health Care Professionals' Experience of Using AI: Systematic Review With Narrative Synthesis.

There has been a substantial increase in the development of artificial intelligence (AI) tools for clinical decision support. Historically, these were mostly knowledge-based systems, but recent advances include non-knowledge-based systems using some form of machine learning. The ability of health care professionals to trust technology and understand how it benefits patients or improves care delivery is known to be important for their adoption of that technology. For non-knowledge-based AI tools for clinical decision support, these issues are poorly understood. The aim of this study is to qualitatively synthesize evidence on the experiences of health care professionals in routinely using non-knowledge-based AI tools to support their clinical decision-making. In June 2023, we searched 4 electronic databases, MEDLINE, Embase, CINAHL, and Web of Science, with no language or date limit. We also contacted relevant experts and searched reference lists of the included studies. We included studies of any design that reported the experiences of health care professionals using non-knowledge-based systems for clinical decision support in their work settings. We completed double independent quality assessment for all included studies using the Mixed Methods Appraisal Tool. We used a theoretically informed thematic approach to synthesize the findings. After screening 7552 titles and 182 full-text articles, we included 25 studies conducted in 9 different countries. Most of the included studies were qualitative (n=13), and the remaining were quantitative (n=9) and mixed methods (n=3). Overall, we identified 7 themes: health care professionals' understanding of AI applications, level of trust and confidence in AI tools, judging the value added by AI, data availability and limitations of AI, time and competing priorities, concern about governance, and collaboration to facilitate the implementation and use of AI. The most frequently occurring are the first 3 themes. For example, many studies reported that health care professionals were concerned about not understanding the AI outputs or the rationale behind them. There were issues with confidence in the accuracy of the AI applications and their recommendations. Some health care professionals believed that AI provided added value and improved decision-making, and some reported that it only served as a confirmation of their clinical judgment, while others did not find it useful at all. Our review identified several important issues documented in various studies on health care professionals' use of AI tools in real-world health care settings. Opinions of health care professionals regarding the added value of AI tools for supporting clinical decision-making varied widely, and many professionals had concerns about their understanding of and trust in this technology. The findings of this review emphasize the need for concerted efforts to optimize the integration of AI tools in real-world health care settings. PROSPERO CRD42022336359; https://tinyurl.com/2yunvkmb.

Telehealth innovations for cardiovascular disease management

Telehealth innovations and wearable technologies are revolutionizing the management of cardiovascular diseases (CVD), providing patients with more accessible and continuous care. The integration of remote monitoring tools and mobile health applications allows for real-time tracking of vital signs, such as heart rate, blood pressure, and oxygen levels, enabling early detection of abnormalities and timely medical interventions. These technologies empower patients to actively participate in their own health management, encouraging adherence to prescribed lifestyle changes, such as increased physical activity and improved dietary habits, which are essential for preventing and controlling CVD. Wearable devices, such as smartwatches and fitness trackers, play a critical role in the continuous monitoring of cardiovascular health. Combined with telehealth platforms, they offer personalized insights and facilitate communication between patients and healthcare providers, enhancing care coordination. This leads to improved patient outcomes, particularly in managing chronic conditions like hypertension and heart failure, where early intervention is key to preventing complications. Additionally, telehealth solutions reduce the need for frequent in-person visits, cutting healthcare costs and making care more convenient and accessible for patients in remote or underserved areas. As telehealth and wearable technologies continue to advance, they hold the potential to further transform cardiovascular care, contributing to more efficient healthcare delivery and better management of cardiovascular risk factors.

Linguistic Accommodation and Identity in The Context of Social Media Discourse

Peaceful coexistence among members of the society is paramount. However, conflicts among the people living together are inevitable and therefore conflict resolution mechanisms must always be put in place. This paper focuses on how language can be used as a tool for resolving and maintaining peace among the individuals in the context of social media. Our society is organised in such a manner that people interact at various levels in the community and there are different forums and platforms that individuals use in the interaction process. During their interactions, language plays a very important role in ensuring that people live in harmony. Living harmoniously may be a concern for people that work together, live in the same neighbourhood, go to church together or live together. These people may interact on face-to-face basis and or use other media such as social media to reach out to one another. This paper narrows down to the kind of interactions that take place in the social media and how the interactants accommodate or cope with each other. The paper analyses texts extracted from Chuka University Students’ social media discourse (from the author’s PhD thesis) to reveal how students accommodate one another. This is an important aspect particularly nowadays when people have made social media an integral tool of communication and interaction. There are different platforms and genres of social media interaction platforms such as Facebook, twitter, Instagram and WhatsApp just to mention a few but this paper focuses on WhatsApp. The WhatsApp groups from which data for analysis were extracted, were those formed by Chuka University students in Tharaka Nithi County, Kenya. This paper is informed by Communication Accommodation Theory and Social Identity Theory. Since it was a qualitative investigation, a descriptive research design was used. Snowballing was used in the identification of the WhatsApp groups from which the texts were extracted purposively. The texts used in this paper were purposively collected on the basis of their content to show accommodation and identity among the social media users. The content analysis of the texts was done and results discussed. The findings revealed that students accommodate one another in their interactions and that they use language to mark their identity. The accommodation is achieved by using language in a manner that is peculiar to them. They for instance come up with their own jargons, phrases and forms of words that they use in their communication

Unlocking Innovation in Crop Resilience and Productivity: Breakthroughs in Biotechnology and Sustainable Farming

Recent advancements in agricultural biotechnology and sustainable practices are revolutionizing crop production and resilience, addressing global food security challenges. This review highlights cutting-edge innovations in plant sciences, including genetic engineering, genome editing technologies, and biotechnological interventions that enhance crop resistance to biotic and abiotic stresses. It discusses the integration of precision agriculture and digital farming tools that optimize resource use and boost productivity, providing data-driven insights for better crop management. Additionally, sustainable agricultural practices such as agroecology, organic farming, and integrated pest management are examined for their potential to reduce environmental impact while maintaining high yield. The review investigates the key practices like conservation tillage, crop rotation, and biological pest control, emphasizing their roles in enhancing soil health, biodiversity, and agricultural resilience. Significant contributions of biotechnological interventions, including genetic engineering and genome editing, are explored for developing stress-resistant and high-yield crop varieties. Moreover, the integration of precision agriculture and digital farming technologies is discussed for their potential to optimize resource utilization and improve crop management through advanced data analytics.

Attitudes, fears and experiences of medical scientists towards using AI tools in their work routine

Abstract Background Artificial intelligence (AI) has experienced an explosive growth in the healthcare sector and the scientific field. Large Language Models (LLMs) are investigated as potential tool to be used in medical treatment, by e.g. producing doctor’s reports, supporting personalized medicine or educating patients. However, limitations are broadly discussed addressing patient safety and ethical concerns due to false and misleading content. Therefore, LLMs face criticism among users not only towards their integration in the patient-provider-interaction, but also in its use in medical research and health care education. In the ongoing EXPOLS (Exploring the Potential of LLMs in Statistical Consulting) study, we address the question ‘What are the attitudes, fears and experiences regarding the integration of AI tools in the clinical/scientific work routine?’ Methods We implemented an online survey that will be accessible in 07/2024. All employees at the University and Medical Center Freiburg will be asked to participate in the survey via online media. We expect a sample size of n = 600-1,200. The survey combines published measurements (e.g. TRI 2.0, result expectation measure), as well as a self-designed instrument with 15 items aiming to measure fears and attitudes towards AI. Latter was developed within a multidisciplinary team making use of ChatGPT as item generator. We will investigate its psychometric properties using exploratory factor analysis and describe distribution characteristics. Results At the time of the conference, the project will be completed and both psychometric insights and content-related results will be reported. The results could have important public health implications, since attitudes towards AI will steer its integration in the medical and clinical routine. Conclusions The EXPOLS study makes a current inventory among medical scientists in Freiburg following a modern approach in instrument development by including ChatGPT as collegial advisor. Key messages • This study explores attitudes, fears and experiences towards the integration of AI tools in the work routine from medical and scientific staff at the University of Freiburg. • The findings might be crucial in determining the integration of AI based tools in the medical and clinical work routine.

7.O. Skills building seminar: Initiating change: Mainstreaming equity and diversity in public health

Abstract Background Consideration of the increasing population cultural and ethnic diversity and the widening of social gaps is essential for narrowing health inequities. While tailored and targeted measures for populations at risk of social disadvantage are needed, mainstreaming and integration of diversity and inclusion perspectives in all public health measures are required. To our knowledge, the EU Joint Action for Cardiovascular diseases and diabetes (JACARDI) is the first large-scale program to apply a systematic and harmonized approach for integrating equity and diversity perspectives. Objectives The main objective of the workshop is skills building in integration of equity and diversity perspectives in practice through: 1) Introducing the key requirements for achieving EU-wide programme change, drawing from several decades of experience in projects conducted in over 30 countries, including those partnered with the World Health Organization, governments and industry. 2) Outlining a practical tool in the format of an equity and diversity matrix designed for integrating equity and diversity perspectives developed within the JACARDI project to support implementation of 142 sub-projects in 21 partner countries. 3) A practical participatory group work based on the JACARDI equity and diversity maturity matrix, followed by a moderated discussion. The workshop acts as a valuable platform for sharing and building collaborative knowledge across European countries and empowering participants as initiators for sustainable, more equitable, and diversity inclusive public health actions. It provides practical and concrete skills on equity and diversity that participants can apply in their work and disseminate within their organizations. The presentations will build knowledge, while group work and the moderated discussion will build skills among participants on the workshop topic. Format of the workshop Two presentations followed by participatory group work and a moderated discussion among workshop participants and presenters. Key messages • Population diversity should be systematically mainstreamed in public health to effectively and sustainably narrow persisting health inequities. • An equity and diversity maturity matrix can be used as a practical tool for systematic integration and monitoring of diversity perspectives in practice.

Equity and diversity maturity matrix for structured diversity inclusion in the EU JACARDI project

Abstract Issue There is increasing awareness on the importance of integration of cultural and ethnic diversity perspectives to reduce prevailing health inequities effectively and sustainably. There is, however, limited experience and practical tools for systematic integration of these perspectives in public health. Description of the problem The EU Joint Action for Cardiovascular Diseases and Diabetes (JACARDI) project, conducted 11/2023-10/2027 has developed a structured and systematic approach for integrating equity and diversity perspectives in all its 142 pilots across 21 European countries. Results Equity and diversity perspectives are embedded in the harmonized stepwise methodology for pilots, supported with a practical Equity and diversity maturity matrix. The maturity matrix is based on the JACARDI 4Cs Equity and diversity explanatory framework (Critical reflection; Context and data; Co-design; inclusive and accessible Communications). The content of the matrix is divided into concrete steps related to pilot’s planning and implementation, each with three levels of maturity that aim at gauging how equity and diversity perspectives are applied in practice: Approaching, Meeting, Exceeding. Pilots are encouraged to strive for any of these three levels, considering their available resources and previous experiences in diversity inclusion. Lessons Effective and sustainable change toward more equitable and diversity inclusive practice requires seamless integration of these perspectives in other routine activities. Training and continued practical and motivational support are key for adherence to novel approaches. In addition to being a practical tool, the Equity and diversity matrix acts as a structured self-evaluation tool to monitor how equity and diversity principles are translated into practice.

Insect Phototaxis Mechanisms Innovations in Pest Control Strategies and Applications

Phototaxis, the movement of insects toward or away from light, is a critical behavioral response that influences feeding, mating, and habitat selection. Understanding the mechanisms behind insect phototaxis can lead to the development of effective and environmentally sustainable pest control strategies and explores the biological foundations of phototaxis, including the role of insect visual systems, light sensitivity, and circadian rhythms. Recent advancements in phototaxis-based pest management, particularly the use of energy-efficient LED light traps, solar-powered traps, and wavelength-specific attractants, are also discussed. These innovations offer promising alternatives to chemical pesticides, reducing environmental impact and enhancing agricultural sustainability. The integration of phototaxis-based tools with other methods, such as biological control and habitat management, is highlighted as a way to improve pest suppression while preserving beneficial insect species. Challenges, including non-target effects, variability in insect responses, and potential light pollution, are also addressed. To emphasize the need for tailored light wavelengths, smart farming integration, and eco-friendly solutions that minimize unintended ecological consequences and underscores the potential of insect phototaxis to transform pest management, offering a comprehensive framework for more sustainable agricultural practices.

Development of a risk-stratified shared decision-making tool for colorectal cancer screening

Abstract European guidelines stress the importance of informed decision-making in colorectal cancer (CRC) screening. However, tailored tools that facilitate decision-making for underserved people and general practitioners (GPs) in Flanders are lacking. This study aimed to develop a tailored shared decision-making (SDM) tool for CRC screening, specifically a video decision aid, using a co-creative process. The development involved two rounds of focus group discussions with underserved people and five local quality group meetings with GPs in various parts of Flanders, Belgium. Qualitative data were analyzed using a Modified-Grounded Theory Analytical (M-GTA) approach to identify key themes. Findings revealed four core themes. The first theme, ‘Recognizing the Barriers to Screening’, identifies challenges such as a lack of time, staff, and tools for GPs, as well as language and literacy barriers for underserved people. The second theme, ‘Learning from Existing Tools’, highlights successful elements like visuals and simple language and limitations such as low accessibility and poor navigation. The third theme, ‘Determining the Content and Design,’ reveals that GPs seek user-friendly tools for at-home viewing, while underserved people value personalized and clear information about CRC risk factors and screening costs. The final theme, ‘Identifying Strategies for Integration,’ stresses the importance of a structured, collaborative care approach for the successful integration of the tool. The proposed modifications for the SDM tool include enhancing its accessibility with multiple language options, using simple and relatable visuals, and providing personalized risk discussions for underserved people and GPs. Nonetheless, further testing is needed to confirm the effectiveness of the SDM tool in supporting preventive talks and informed decision-making in CRC screening among these target groups. Key messages • A structured, collaborative care approach is needed for successful SDM tool integration during preventive talks with underserved people. • Further testing is needed to confirm the tool’s effectiveness in supporting informed decision-making in CRC screening for underserved people.

Self-determination and Integration: A Site of Negotiation and a Village Named Panbari

The demand for self-determination of various nationalities has been central to the sociopolitical and cultural life of Assam, a northeastern state of India. The Statutory Autonomous Councils formed under the State Act are a non-territorial arrangement to address the question of self-determination without marking boundaries between co-habiting communities and therefore are a unique model of integration. However, this has led to conflicting situations reflecting how ‘integration’ emerges as a site of negotiation, redefines inter-community relationships, and challenges the state’s intervention in the matter. Drawing from a village study, this article endeavours to probe self-determination as a tool of (dis)integration, as a site of negotiation and argues that the various ways of addressing the question of self-determination adopted by the new nation-state ultimately affect the historically produced inter-community relationships. Methodologically, the article seeks to revisit the promises of ‘village study’ through the multicultural habitat named Panbari, a village in the northeast of Assam, and reflects how the every day in a small village establishes a guiding conversation with the everyday in a multicultural nation-state of India.

Synthetic WOM? The Emergence of Generative Artificial Intelligence-Induced Recommendations

ABSTRACT This paper examines how Generative Artificial Intelligence (GAI) influences word-of-mouth (WOM) in travel and hospitality, focusing on synthetic WOM (syWOM). It explores how GAI-driven WOM reshapes traveler interactions and decision-making in an experience-centric industry. Using a literature review and conceptual analysis approach1, this study examines the integration of GAI tools, such as ChatGPT, to enhance travel experiences. The analysis presented in this study highlights GAI’s potential in inducing syWOM and its effects on traveler perceptions and behaviors. Additionally, it addresses the emerging role of GAI in WOM, emphasizing the need for further research on its impact on travel planning and engagement. This study presents a fresh view of the interaction of syWOM with GAI in travel, aiming to inform future research and practical applications of personalized traveler engagement.

Digital Device Usage and Childhood Cognitive Development: Exploring Effects on Cognitive Abilities

The increasing ubiquity of digital devices in childhood had outpaced the understanding of their effects on cognitive development, creating a significant research gap regarding their long-term impact. Objective: The present narrative overview explored the complex relationship between digital device usage and cognitive development in childhood. Methods: We conducted a comprehensive literature search across multiple databases, including PubMed, Embase, Scopus, and Web of Science, to critically assess cognitive domains such as attention, memory, executive functions, problem-solving skills, and social cognition. Incorporating over 157 peer-reviewed studies published between 2001 and 2024, we used strict inclusion and exclusion criteria to ensure scientific rigor. Results: The review integrated empirical findings with established theoretical frameworks, particularly from cognitive development and media psychology, to highlight both the advantages and risks of early, frequent exposure to technology. The potential for digital devices to enhance cognitive skills, such as multitasking and information processing, was weighed against risks such as cognitive overload, diminished attention spans, and impaired social skills. We also examined psychological and behavioral outcomes, including identity formation, emotional regulation, and maladaptive behaviors associated with excessive screen time. Additionally, we identified strategies to mitigate negative effects, emphasizing structured digital engagement and parental involvement to support healthy cognitive and psychological growth. Our findings provided actionable recommendations for parents, educators, and policymakers, promoting optimal digital practices that enhanced cognitive development while safeguarding against potential harms. Conclusions: The review offered essential insights for stakeholders in child development, education, and policy-making, highlighting the need for balanced integration of digital tools in childhood learning environments.