Research Roadmap Research Articles

Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective.

Long COVID (Coronavirus disease), affecting millions globally, presents unprecedented challenges to healthcare systems due to its complex, multifaceted nature and the lack of effective treatments. This perspective review explores the potential of artificial intelligence (AI)-guided transcranial direct current stimulation (tDCS) as an innovative approach to address the urgent need for effective Long COVID management. The authors examine how AI could optimize tDCS protocols, enhance clinical trial design, and facilitate personalized treatment for the heterogeneous manifestations of Long COVID. Key areas discussed include AI-driven personalization of tDCS parameters based on individual patient characteristics and real-time symptom fluctuations, the use of machine learning for patient stratification, and the development of more sensitive outcome measures in clinical trials. This perspective addresses ethical considerations surrounding data privacy, algorithmic bias, and equitable access to AI-enhanced treatments. It also explores challenges and opportunities for implementing AI-guided tDCS across diverse healthcare settings globally. Future research directions are outlined, including the need for large-scale validation studies and investigations of long-term efficacy and safety. The authors argue that while AI-guided tDCS shows promise for addressing the complex nature of Long COVID, significant technical, ethical, and practical challenges remain. They emphasize the importance of interdisciplinary collaboration, patient-centered approaches, and a commitment to global health equity in realizing the potential of this technology. This perspective article provides a roadmap for researchers, clinicians, and policymakers involved in developing and implementing AI-guided neuromodulation therapies for Long COVID and potentially other neurological and psychiatric conditions.

Developing a Guided Web App for Postpartum Depression Symptoms: User-Centered Design Approach.

Psychological internet-based interventions have shown promise in preventing and treating perinatal depression, but their effectiveness can be hindered by low user engagement. This challenge often arises from a misalignment between technology attributes, user needs, and context. A user-centered, iterative approach involving all stakeholders is recommended. In this paper, we aimed to develop a user-friendly psychological internet-based intervention aimed at addressing the symptoms of perinatal depression through an iterative, user-centered approach. The development process followed the Center for eHealth Research and Disease Management Roadmap phases of contextual inquiry, value specification, and design. It involved a comprehensive literature review, 2 surveys, 10 focus groups, 5 usability interviews, and 1 technical pilot. The contextual inquiry revealed a demand for accessible interventions for perinatal mental health, with internet-based solutions seen as viable options. Insights from the literature influenced intervention content and features. Stakeholders' openness to the intervention became evident during this phase, along with the integration of the first set of values. Initially, we assessed the broader perinatal context to identify the optimal period for the intervention. On the basis of the findings and practical considerations, we decided to specifically target postpartum depression symptoms. The value specification phase further defined the central values and translated them into requirements. In the design phase, feedback was obtained on the user experience of an early digital prototype and on the prototype's final version. The resulting intervention, named Mamá, te entiendo ("Mom, I get you"), is a guided web app based on cognitive behavioral therapy principles, integrating elements from attachment and mentalization theories. It aims to reduce depressive symptoms in women during the first months postpartum and consists of 6 core sequential modules, along with 3 additional modules, including 5 case examples illustrating depressive symptoms and therapeutic techniques. The intervention provides homework exercises and offers users the opportunity to receive feedback from an e-coach through the web app. This study emphasizes the importance of a user-centered and iterative development process for psychological internet-based interventions. This process helps clarify user needs and provides valuable feedback on service design and quality, ultimately having the potential to enhance the utility and, presumably, the effectiveness of the intervention. The Discussion section shares valuable insights from the project, such as the value of the requirement sessions.

Emerging Nano/Microporous Architectures for Food Hazards: New Strategies for Precise Inspection and New Principles for Controllable Regulation.

The big progress of materials science along with chemical engineering and biotechnology has significantly promoted interdisciplinary development, achieving advanced analytical methodologies, improved inspection performance, as well as promising regulation principles for food safety. The very recent progress on nano/microporous architectures for agri-food science, including new strategies for precise inspection and new principles for controllable regulation of food hazards, are summarized and discussed. Major attention is paid to the newly emerged porous architectures with their derivative nano/microstructures contributing to food safety through their instinctive advantages including special material surface, extraordinary porous structure, ease-of-modification, and excellent diversity and variability. This review clearly and logically displays the research road maps and development trends for current food safety issues and give suggestive directions for future outlook as well as the bottleneck problems to be solved, not only smart inspection and analysis but also elimination and control of ever-emerging food hazards.

Trends in virtual influencers (VIs): A bibliometric analysis and SPAR-4-SLR protocol

This study aims to comprehensively understand qualitative and quantitative information about the current trends in VIs. It examines 106 articles published in Scopus-indexed journals between 2020 and 2024. The analysis was done with the help of Biblioshiny, an R-developed online application from the Bibliometrix package, and VOSviewer software for analytical and visualization purposes. This study was conducted using the SPAR-4-SLR protocol. The findings showed that recent years have been more productive, and many authors have demonstrated their interest in studying the VIs. Recent trends are social media, virtual reality, marketing, social networking, etc. The study employs a systematic review and bibliometric analysis to extract valuable insights from the extensive body of literature. These insights suggested several areas for future research, providing a roadmap for future researchers to proceed with their research in this area. The comprehensive scientific cartography of the area has yet to be presented; therefore, this study aims to synthesize the current knowledge frameworks within the field and determine the dominant research patterns in the specific area of investigation.

»Relationships are Key« A Semantic Relationship Awareness Framework for Operational Technology Monitoring

Critical infrastructures in areas like road traffic management naturally rely on the broad use of "Operational Technology (OT)" to ensure efficient and safe road traffic monitoring (RTM) through "OT objects", like sensors and actuators, whereby monitoring OT itself ("OTM") is evenly crucial. OTM is highly challenging, not least due to massive heterogeneity of OT, immense complexity and size, and omnipresence of evolution. As a consequence, knowledge about interdependencies between OT objects in form of semantic relationships is often outdated or simply not available. Thus, in case of incidents, detection of cause and effect in the sense of a situational picture of OT is missing. In order to counteract this fundamental deficiency, we aim to automatically discover semantic relationships between OT objects, to build up an ontological knowledge base as prerequisite for achieving OT situation awareness. Thereby, the contribution of this paper is threefold. First, a systematic exploration of the induced challenges is provided, derived from an in-depth analysis of real-world OT message logs in the area of RTM. Based on that, we sketch out a research roadmap, thereby guiding the identification of existing concepts and technologies appearing to be useful for realizing a framework for semantic relationship awareness, being the crucial pre-step for achieving OT situation awareness. Finally, a first proof-of-concept prototype is put forward, complemented by an evaluation of its applicability and a detailed comparison to related approaches.

The future of work of academics in the age of Artificial Intelligence: State-of-the-art and a research roadmap

The Future of Work (FoW) has garnered significant attention among scholars and practitioners, with the advent of Artificial Intelligence (AI) playing an important role in shaping this discourse. Despite the common perception that intelligent machines pose a threat to workers in routine roles, AI technologies are increasingly being utilized for advanced tasks carried out by knowledge workers. Drawing on state-of-the-art research and real-life examples we develop an integrated framework to explore the future of academic work. Our focus is on academics, an essential yet under-researched group of knowledge workers, and we discuss their work in relation to AI across space, time, and task dimensions. Our analysis reveals that the usage of AI technologies can have implications for the research, teaching, and service activities of academics and thereby also for the creation, acquisition, dissemination, and application of knowledge. Based on our framework we develop scenarios and propose a future research roadmap.

Online reviews: A literature review and roadmap for future research

This paper reviews and synthesizes existing research on online reviews, addresses the knowledge gaps, and proposes directions for future research. Taking an interdisciplinary approach, we delve into the stages of the online review process (creation, engagement, impact, and insight) and discuss how they are affected by behavioral biases, review formats, reviewer identity, managerial interventions, and platform design. We discuss the benefits of online reviews—from boosting sales to impacting firms’ reputations and reducing information asymmetries—and the flaws that can compromise their reliability and helpfulness, including promotional reviews, behavioral biases, and context effects. Finally, we identify research gaps in the literature and propose a roadmap for future research. As technology advances and consumer needs evolve, the complexity of online reviews must be further explored to unleash novel insights, guide decisions, and better shape the future landscape of digital platforms.

Harmonizing ML and Databases: A Symphony of Data (VLDB 2024 Keynote)

Large language models (LLMs) are rapidly transforming the landscape of computing and daily life, demonstrating immense potential across diverse applications like natural language processing, machine translation, and code generation. This talk delves into the impact of LLMs on database research. Specifically, we'll examine how LLMs are fueling innovation in natural language interfaces for data interaction, highlighting current limitations and advocating for semantic data models and enhanced context to improve the accuracy of these solutions. Drawing inspiration from LLMs, we'll introduce a novel paradigm for database cost modeling, leveraging pre-trained models and fine-tuning techniques. We'll share our early-stage prototype, initial results, and outline a research roadmap highlighting numerous exciting challenges in this evolving field.

A Review and Prospect of Research on Inclusive Leadership

Inclusive leadership is recognized as an effective form of leadership. This study reviews and organizes the existing research on inclusive leadership. First, it examines the definitions and methodologies used in measuring inclusive leadership. Second, it synthesizes the theoretical frameworks underpinning existing studies on inclusive leadership. Subsequently, the study scrutinizes findings concerning the antecedents and consequences of inclusive leadership. Antecedent research encompasses individual attributes and the organizational environment, while investigations into effects include impacts on individual employees, teams, and broader organizational outcomes. Finally, the study outlines prospective avenues for further inquiry into inclusive leadership. This endeavor is invaluable to scholars by providing a foundational literature framework for future investigations into inclusive leadership, offering a roadmap for ongoing research in this domain.

Designing a More Sustainable and Environmentally Friendly Food Supply: A Roadmap for Future Food and Agricultural Research

Designing a More Sustainable and Environmentally Friendly Food Supply: A Roadmap for Future Food and Agricultural Research

Factors Influencing the Adoption of Distributed Ledger Technology in Developing Countries: An Examination of Nigerian Construction Industry

ABSTRACT The construction industry is known for its intricate and fragmented nature, often plagued by inefficient processes and data management challenges. Distributed Ledger Technology (DLT) presents a promising solution, potentially revolutionizing data sharing, transparency, and security. However, the successful adoption of DLT necessitates a comprehensive understanding of its implications, effective organizational changes, and strategic implementation strategies. This study examines the critical factors in adopting DLT into construction processes and workflows. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with key stakeholders in the Nigerian construction industry. The findings emphasize the importance of educating staff about DLT’s benefits, strategic planning aligned with business goals, collaboration with DLT experts, universities, and industry partners, careful planning and robust security measures, and organizational changes such as dedicated DLT teams and engaging suppliers. Recommendations include prioritizing continuous improvement, investing in training programs, and exploring integration with emerging technologies. The study provides empirical insights into DLT adoption challenges and strategies, synthesizing these findings with existing literature, and offers a roadmap for construction firms, policymakers, and researchers seeking to leverage DLT for enhanced efficiency and innovation in the construction industry.

An in-depth analysis of membrane distillation research (1990–2023): Exploring trends and future directions through bibliometric approach

This bibliometric analysis offers a comprehensive investigation into membrane distillation (MD) research from 1990 to 2023. Covering 4389 publications, the analysis sheds light on the evolution, trends, and future directions of the field. It delves into authorship patterns, publication trends, prominent journals, and global contributions to reveal collaborative networks, research hotspots, and emerging themes within MD research. The findings demonstrate extensive global participation, with esteemed journals such as Desalination and the Journal of Membrane Science serving as key platforms for disseminating cutting-edge research. The analysis further identifies crucial themes and concepts driving MD research, ranging from membrane properties to strategies for mitigating membrane fouling. Co-occurrence analysis further highlights the interconnectedness of research themes, showcasing advancements in materials, sustainable heating strategies, contaminant treatment, and resource management. Overlay co-occurrence analysis provides temporal perspective on emerging research trends, delineating six key topics that will likely shape the future of MD. These include innovations in materials and surface engineering, sustainable heating strategies, emerging contaminants treatment, sustainable water management, data-driven approaches, and sustainability assessments. Finally, the study serves as a roadmap for researchers and engineers navigating the dynamic landscape of MD research, offering insights into current trends and future trajectories, ultimately aiming to propel MD technology towards enhanced performance, sustainability, and global relevance.

Global Research Network Analysis of Edible Coatings and Films for Preserving Perishable Fruit Crops: Current Status and Future Directions.

Edible coatings and films have gained substantial attention as a promising and sustainable technology for fruit preservation. This study employed a bibliometric analysis to identify core research areas, research gaps, and emerging trends, thus providing a comprehensive roadmap for future research on the use of edible coatings and films for fruit quality preservation. The study involved 428 research articles related to edible coatings and films for fruit preservation published in the Scopus database before 06 October 2023. Utilizing Vosviewer and R for network analysis, we generated network visualization maps, research performance statistics, and identified key contributors and their collaborations. The results show the evolution of this field into three distinct phases: Initial Exploration (1998-2007), Growing Interest (2008-2015), and Rapid Expansion (2016-2023). The study revealed contributions from 1713 authors, with the first article appearing in 1998. Brazil and China emerged as the most productive countries in this domain. The core research areas focus on biomaterials, functional properties, and natural substances. Identified research gaps include pilot and industrial-scale applications, the lack of a regulatory framework and safety guidelines, and the application of artificial intelligence (AI), particularly deep learning and machine learning, in this field of edible coatings and films for fruit preservation. Overall, this study offers a scientific understanding of past achievements and ongoing research needs, thus aiming to boost a broader adoption of edible coatings and films by consumers and the food industry to preserve fruit quality, thereby enhancing their societal and environmental impact.

Roadmap for Research and Scholarship in General Surgery Residency Training: Report of The Research Subcommittee of Blue Ribbon Committee II on Surgical Education and Training.

To review the current state of research training during surgical residency and make recommendations commensurate with current surgical training and academic environment. Research training has been a mainstay of academic surgical programs, yet the scientific disciplines have evolved significantly from the traditional years of bench research. It is time to reconsider how research training should prepare surgeons for future academic practice and ensure the foundational knowledge of research evidence. As part of the Blue Ribbon Committee II, a research subcommittee was tasked to make recommendations on research training during surgical residency. Our eight-member panel brought diverse perspectives of the roles and goals of research training. We also sought input from a convenience sample of current and recent surgical residents on impact of research training during their residency. We identified a lack of a common framework and foundational research training for all surgical residents. Participation in dedicated years of scholarly activity helped trainees meet several professional and personal goals. The lack of an integrated, dedicated research track may dissuade some medical school graduates from pursuing surgery. We recommend incorporating a minimum standard for all trainees and flexibility in dedicated scholarly training to meet the needs of future academic surgeons.

A Comprehensive Review on Brain–Computer Interface (BCI)-Based Machine and Deep Learning Algorithms for Stroke Rehabilitation

This literature review explores the pivotal role of brain–computer interface (BCI) technology, coupled with electroencephalogram (EEG) technology, in advancing rehabilitation for individuals with damaged muscles and motor systems. This study provides a comprehensive overview of recent developments in BCI and motor control for rehabilitation, emphasizing the integration of user-friendly technological support and robotic prosthetics powered by brain activity. This review critically examines the latest strides in BCI technology and its application in motor skill recovery. Special attention is given to prevalent EEG devices adaptable for BCI-driven rehabilitation. The study surveys significant contributions in the realm of machine learning-based and deep learning-based rehabilitation evaluation. The integration of BCI with EEG technology demonstrates promising outcomes for enhancing motor skills in rehabilitation. The study identifies key EEG devices suitable for BCI applications, discusses advancements in machine learning approaches for rehabilitation assessment, and highlights the emergence of novel robotic prosthetics powered by brain activity. Furthermore, it showcases successful case studies illustrating the practical implementation of BCI-driven rehabilitation techniques and their positive impact on diverse patient populations. This review serves as a cornerstone for informed decision-making in the field of BCI technology for rehabilitation. The results highlight BCI’s diverse advantages, enhancing motor control and robotic integration. The findings highlight the potential of BCI in reshaping rehabilitation practices and offer insights and recommendations for future research directions. This study contributes significantly to the ongoing transformation of BCI technology, particularly through the utilization of EEG equipment, providing a roadmap for researchers in this dynamic domain.

Relational turbulence during family transitions: a lifespan perspective and roadmap for future research

ABSTRACT This essay answers recent calls to explore the application of Relational Turbulence Theory (RTT) within family relationships (Knobloch, L. K., Solomon, D. H., Theiss, J. A., & McLaren, R. M. [2018]. Relational turbulence theory: Understanding family communication during times of change. In Engaging theories in family communication [pp. 255–266]. Routledge). Although family relationships are perceived to be contextually distinct from romantic partnerships given the perceived involuntary nature of these relationships, we argue relational turbulence manifests in family members’ relational experiences and communication processes, at multiple levels of family systems, and across various types of family transitions that evoke the experiences of relational uncertainty, interdependence processes, biased cognitions, emotional reactivity, polarizing communication, and relational turbulence among various members of the family system. In this essay, we present a roadmap for research that both integrates existing insights and suggests lines of future inquiry regarding relational turbulence in families.

A survey on reinforcement learning-based control for signalized intersections with connected automated vehicles

ABSTRACT Recent advancements in connected automated vehicles (CAVs) and reinforcement learning (RL) hold significant promise for enhancing intelligent traffic control systems. This paper conducts a systematic review of studies on RL-based urban traffic control at signalised intersections, highlighting the significant impact of CAVs on traffic control performance improvement. We first review the fundamental concepts of RL algorithms, establishing a foundational understanding for subsequent RL-based traffic control methods. We then review recent progress in RL-based traffic signal control using CV/CAV trajectory data, RL-based CAV trajectory planning, and the cooperative control of both traffic signals and CAVs at signalised intersections. Our aim is to provide researchers with a comprehensive roadmap for future research in RL-based traffic control at signalised intersections.

Unraveling the role of digital leadership in developing digital dynamic capabilities for the digital transformation of firms

PurposeWith the emergence of the digital era, the role of digital leaders in developing digital capabilities and driving their firms towards digital transformation has gained significant attention. Digital dynamic capabilities involve continuous engagement of leaders in sensing, seizing, and transforming activities needed to digitally transform their firms. However, little attention is given toward the role of digital leadership in developing digital dynamic capabilities. We seek to develop an understanding of the role of digital leadership in building digital dynamic capabilities for successful digital transformation.Design/methodology/approachWe conducted a systematic literature review and looked at relevant articles using Google Scholar, ScienceDirect, and Scopus databases with key search items being “digital leadership”, “dynamic capabilities”, “digital dynamic capabilities,”. We used AND, OR operators in between the key terms to search for the relevant articles.FindingsOur conceptual framework and propositions demonstrate the digital leader's role in building three core dynamic capabilities: digital sensing (technological trends, digital scouting, digital vision, future interpretation, and digital strategies), digital seizing (organizational agility and digital portfolio), and transforming (redesigning internal structures and ecosystem partnerships) for successful digital transformation.Originality/valueThis study pioneers an integrated framework that elucidates the role of digital leadership in fostering digital dynamic capabilities essential for successful digital transformation. While previous research has examined digital leadership and transformation in separate silos, our work bridges this gap by defining and dissecting three core capabilities—digital sensing, digital seizing, and transforming. By doing so, we offer both academic and practical communities a nuanced understanding of how digital leadership shapes dynamic capabilities. The study serves as a foundational roadmap for future research and offers actionable insights for organizations striving to navigate the complex landscape of digital transformation.

Sustainability communication in marketing: a literature review

Purpose This study aims to explore the foundations and current research streams of sustainability communication (SC) within the marketing field through a comprehensive analysis of the existing literature. Furthermore, it identifies promising areas, gaps, and guides for future contributions in SC literature. Design/methodology/approach This study relies on a sample of 103 articles published in high-ranked marketing journals. Through co-citation and qualitative thematic analyses, it examines a network over the foundations and central themes in current literature. Findings In the marketing field, the foundations of SC rest on institutional and stakeholder theories, corporate social responsibility (CSR) communication and its effectiveness, green advertising, ethical consumerism and marketing strategies, and social marketing for sustainable consumption. Additionally, the analysis reveals four core current themes: reporting sustainability, sustainability advertising, consumer reactions, and promoting pro-sustainable behaviour. Research limitations/implications This paper defines the foundations and boundaries of SC in marketing based on a comprehensive evaluation of existing research. By doing so, it offers a valuable reference for future research, enabling scholars to understand better the past and current state of SC in marketing and to identify areas for further investigation. Practical implications Businesses and marketers can use the findings to develop more effective SC strategies and to focus on the main topics that require their attention. Social implications This research is of societal importance because it deepens our understanding of SC in marketing. It illuminates uncharted territory and helps decision-makers across sectors create a more sustainable future. In essence, this research enriches society by promoting sustainability awareness and guiding the development of practices that emphasize the value of SC. Originality/value This study advances previous literature reviews on SC in the marketing field by providing a roadmap for researchers to delve deeper and contribute to the field of SC in marketing, advancing our understanding of the importance of organizations effectively communicating their sustainability strategies to stakeholders.

Analysis of Articles on the Nature of Science between 2015 and 2022

It is evident that knowing the nature of science is a requirement for “science education”, which serves as the basis of conscious citizenship. For this reason, articles concerning the nature of science that were published in the Web of Science and EBSCOhost database between 2015 and 2022 were examined in this study in order to establish a broad framework and develop a research road map. A qualitative design approach and a descriptive review method were used. The keywords "Nature of Science (NoS) and Science Education" and "Teaching of Nature of Science (NoS) and Science Education" were used. The majority of the 107 articles on the nature of science that have been examined preferred qualitative research designs, and "Science & Education" is the publication that has published the most articles on the subject in 2017-2018-2020, pre-service teachers were mostly preferred as the sample group, it was applied to groups of “21-50” people as the sample group, open reflective approach was preferred as the teaching approach, the most commonly used method-technique was “discussion”, the activities used in the articles were generally standard, semi-structured interview form was preferred as the evaluation tool and “VNOS-C” was deployed as the questionnaire. Studies may be conducted within the boundaries of further lectures on the topic and internationally published theses.