Research Framework Research Articles

Implementation Science to Improve the Diagnosis and Management of Hidradenitis Suppurativa: HELyx Study Design Overview.

Hidradenitis suppurativa (HS) is a chronic, inflammatory skin disease associated with a high disease burden and substantial impact on patients' quality of life. Limited therapeutic options are available, with an unmet medical need for earlier diagnosis and treatment and more effective treatment options. Low awareness of HS amongst healthcare professionals (HCPs) leads to delayed diagnosis and a prolonged patient journey to HS-specific treatment. This article aims to describe the design of HELyx, an implementation science study in Germany, which aims to evaluate the effectiveness of an implementation strategy to improve screening and diagnosis of HS among HCPs (dermatologists and non-dermatologists) and timely referral to HS-treating dermatologists. HELyx is a hybrid, effectiveness-implementation science study with a pre-post design involving HCPs and is guided by the Consolidated Framework for Implementation Research. HELyx is being conducted in Germany over four consecutive phases (context analysis, pre-implementation, implementation, and post-implementation) in a sequential manner. A similar implementation science study is also being conducted in the United Arab Emirates (UAE) and Spain. HELyx aims to identify key unmet medical needs in the HS patient journey, to develop and implement a tailored medical education program, and to measure the effectiveness of the implementation. The primary endpoint is the change in the proportion of HCPs who used a diagnostic screening tool to identify patients with suspected HS during the 24weeks of the post-implementation phase (assessed at Week 24) compared to the 24weeks before implementation (assessed at baseline). Secondary endpoints include assessment of the use of HS disease severity assessment and patient-reported outcome tools and HCP referral behaviours.

Validation of insurance claims data on aetiology, surgical type and prosthesis for isolated valve surgery: a retrospective observational surgery

ObjectivesAdministrative database research is pivotal for developing guidelines in cardiovascular surgery and valvular heart disease. However, validation studies specific to Asia are lacking. This study validated the coding of valvular...

Using a co-design approach to develop a Preventative Online Mental Health Program for Youth (POMHPY): a quality improvement project

BackgroundDuring the COVID-19 pandemic, youth in Ontario, Canada experienced a steep rise in mental health concerns. Preventative intervention programs can address the psychological impact of the pandemic on youth and build resiliency. Co-design approaches to developing such programs actively involve young people, resulting in solutions tailored to their unique needs. The current paper details the co-design approach to creating a Preventative Online Mental Health Program for Youth (POMHPY)—a virtually delivered program designed for Ontario youth ages 12 to 25 that promotes mental, physical, and social wellbeing.MethodsThe Participatory Action Research (PAR) framework guided the development of the initiative. Literature reviews were conducted to identify existing evidence-based programs targeting youth. Youth perspectives were primarily gathered via the Youth Advisory Group, comprising a Youth Resilience Coordinator and a Youth Engagement Lead, who contributed to a literature review, surveys, focus groups, and program assets. Community insights were gathered through Community Reference Group (CRG) meetings, which engaged participants from local and provincial organizations, as well as individuals either directly representing or affiliated at arm's length with youth.ResultsA review of the current literature highlighted the importance of regular physical activity, social connectedness, good sleep hygiene, and healthy family relationships to emotional wellbeing. Survey findings informed program session length, duration, delivery, and activities. Focus groups expanded on the survey findings and provided an in-depth understanding of youth preferences for program delivery. CRG meetings captured community insights on program refinements to better meet the needs of youth. As such, the development of POMHPY was a collaborative effort among researchers, youth, and community partners.ConclusionsThe findings highlight the value of co-design and PAR-informed approaches in developing youth-targeted online wellbeing programs, providing actionable insights for iterative improvements and future pilot testing. The resulting 6-week program, led by youth facilitators, will focus on teaching mental, social, and physical wellness strategies and skills through various evidence-based, interactive activities.

Simulating the impact of white matter connectivity on processing time scales using brain network models

The capacity of the brain to process input across temporal scales is exemplified in human narrative, which requires integration of information ranging from words, over sentences to long paragraphs. It has been shown that this processing is distributed in a hierarchy across multiple areas in the brain with areas close to the sensory cortex, processing on a faster time scale than areas in associative cortex. In this study we used reservoir computing with human derived connectivity to investigate the effect of the structural connectivity on time scales across brain regions during a narrative task paradigm. We systematically tested the effect of removal of selected fibre bundles (IFO, ILF, MLF, SLF I/II/III, UF, AF) on the processing time scales across brain regions. We show that long distance pathways such as the IFO provide a form of shortcut whereby input driven activation in the visual cortex can directly impact distant frontal areas. To validate our model we demonstrated significant correlation of our predicted time scale ordering with empirical results from the intact/scrambled narrative fMRI task paradigm. This study emphasizes structural connectivity’s role in brain temporal processing hierarchies, providing a framework for future research on structure and neural dynamics across cognitive tasks.

Decarbonising Maritime Transport: The Role of Green Shipping Corridors in Making Sustainable Port‐City Ecosystems

Maritime transport plays a crucial role in global trade and tourism, yet it significantly contributes to global greenhouse gas emissions, posing environmental challenges that demand urgent solutions. This article explores the innovative concept of maritime green shipping corridors, an emerging strategy aimed at decarbonising the shipping industry. By analysing the origins of green corridors from urban and transportation perspectives, the article outlines their evolution towards multimodal, zero‐emission shipping solutions. It highlights the role of international frameworks, such as the International Maritime Organization Clydebank Declaration, in facilitating the transition to green shipping routes and the proliferation of zero‐carbon fuels. The article also assesses the integration of renewable energy technologies, alternative fuels, and electrification in port operations, as well as the broader spatial and economic impacts on port‐city ecosystems. With the potential to enhance urban sustainability, promote green logistics, and drive global decarbonisation efforts, maritime green shipping corridors represent a crucial framework for future research and policy development. However, the article highlights the need for further studies to evaluate the socio‐economic and environmental impacts on local communities and regional planning.

Mental health services in jail: Identifying and quantifying barriers to implementation.

Although jails are the largest provider of mental health care nationally, access to treatment in U.S. jails is limited. Limited empirical information on factors impacting the implementation of mental health services in jail may be contributing to low treatment rates. We documented potential barriers impacting the provision of a brief cognitive-behavioral group-based intervention for people with serious mental illness in jail, including the rates of participants' recruitment, as well as starting and completing the intervention; time required for each group from recruitment to completion; and the types and frequencies of obstacles encountered during treatment sessions. We organized the barriers according to the Consolidated Framework for Implementation Research. All potential treatment recipients' questions prior to treatment, and reasons provided for not starting the treatment, were also logged and analyzed using content analysis and frequency counts; tables of the themes, frequencies, and examples of participant concerns are presented. These results suggest that although many participants were interested in and incarcerated for sufficient time to complete the intervention, relatively few participants were able to begin the groups (44%). Over 150 obstacles to treatment were encountered during treatment provision (including recurring issues with client transportation within the facility and facility lockdown). Understanding participants' progression through the study (recruitment, start, completion), their questions and reasons for not participating, and interruptions to the sessions provide important information for increasing the usability of mental health care in jails. The current findings can improve the implementation of needed evidence-based treatment in this carceral setting. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Protective factors for suicidal ideation and suicide attempts in adolescence: a longitudinal population-based cohort study examining sex differences

BackgroundAdolescence is a critical period with elevated vulnerability to suicidality. Despite the importance of protective factors in reducing suicidal ideation (SI) and suicide attempts (SA), research in this area remains limited. This study investigated the associations between protective factors in early adolescence and the subsequent outcomes of SI and SA a year later, while also examining sex differences in these associations.MethodsThis study utilized data from a representative sample at two timepoints, T1 (N = 2464, 50.8% females, mean age = 13.7, SD = 0.6) in 1998 and T2 (N = 2432, 50.4% females, mean age = 14.9, SD = 0.6) one year later, collected as part of the longitudinal Youth and Mental Health Study (YAMHS) in Norway. Individual, social and environmental protective factors were identified based on prior research and theoretical frameworks. We used linear (or ordinal logistic) regression analyses with SI (or SA) as dependent variable, and one protective factor, sex and their interaction as covariates.ResultsPositive self-perceptions (T1) were significantly associated with reduced SI and SA one year later (T2) for both sexes. Specifically, self-worth was more strongly associated with reduced SI in females (B = -0.16, 95% CI: -0.20 to -0.12, p <.001) than males (B = -0.08, 95% CI: -0.12 to -0.04, p <.001). The interaction between sex and social competence influenced the likelihood of SA, with males (OR = 0.24, 95% CI: 0.13 to 0.42, p <.001) showing a greater reduction than females (OR = 0.53, 95% CI: 0.35 to 0.80, p =.009), although this association only showed a trend towards significance (p =.083). Higher physical activity and school connectedness/wellbeing were associated with lower SI, and school connectedness/wellbeing to lower SA, with no sex differences. No significant associations were found between task-oriented coping, attachment, family functioning or socio-economic status and SI or SA.ConclusionsFostering positive self-perception, physical activity, and school connectedness/wellbeing is important for adolescent suicide prevention, as these factors contribute to reducing suicidality. Sex differences were observed in the associations between self-worth and SI, as well as social competence and SA. Future research should explore additional protective factors across sex and gender groups.

Unveiling the consequences of perceived greenwash among youth: a focus on the moderating role of environmental knowledge

Purpose When a company practices greenwashing, it breaks consumers’ trust by purposefully misleading them about its environmental practices or the benefits of its products/services. This study aims to contribute to the literature by testing the effect of perceived greenwash on green purchase intention through green trust, green perceived value and green skepticism. Furthermore, the study introduces environmental knowledge as a moderator in the relationship between perceived greenwash and three attitudinal factors by integrating the theory of cognitive dissonance and information asymmetry as a foundational framework. Design/methodology/approach The descriptive hypo-deductive research design was adopted to test the proposed model. This study performed survey research with a structured questionnaire. A sample of 432 responses was collected from youth living in India using a purposive sampling method. The validity and reliability of the model were tested using structural equation modeling, and moderation and mediation effects were examined using process macro. Findings The results support the mediation role of three attitudinal factors between perceived greenwash and green purchase intention. Furthermore, the moderation effect of environmental knowledge was significant between perceived greenwash and attitudinal factors, except between perceived greenwash and perceived green value. Practical implications This research offers valuable insights into the role of environmental knowledge and its moderating influence on shaping attitudes toward green purchase intentions. This study highlights green buying as an obscure risk, impacted by factors such as green trust, green perceived value, green skepticism and, ultimately, perceived greenwash. The proposed research framework carries significant implications for comprehending the underlying drivers of green purchase intentions, advocating for a strategic emphasis on truthful, transparent and verifiable communication by companies. Originality/value This study contributes to the existing knowledge base by delving into and examining the mediating and moderating factors influencing green purchase intentions, which was less emphasized in prior literature, especially within the context of India. The research provides empirical insights, establishes a theoretical consensus and unveils novel perspectives for reconsidering the intricate dynamics among environmental knowledge, perceived greenwash and diverse dimensions of green perceived value in the realm of sustainable products.

The coordinated development and evolutionary characteristics of “Port-Industry-City” System in Fangchenggang City of Western China

This study develops an integrated research framework that combines a Comprehensive Evaluation Indicator System, Coupling Coordination Degree Model, Composite System Evolution Model, and Obstacle Degree Model to analyze the dynamics of the 'Port-Industry-City' system. Using Fangchenggang, a keyt port in western China, as a case study, the paper contributes to the understanding of how port, industry, and city systems interact and evolve over time. The research findings indicate that: (1) At the system level, the coordination and interaction degree consistently improve, although the coupling and coordination exhibit fluctuating trends. The system progresses through various lag types, from port and city lag to industrial lag. (2) At the subsystem level, while the 'Industry-City' system remains stable, the 'Port-City' and 'Port-Industry' systems show fluctuating upward evolution, with U-shaped and W-shaped dynamic patterns. (3) At both the first- and second-level index factors, the primary lagging factors include industrial structure, city scale, and urban economy. Among the secondary indicators, the most significant lagging factors are total highway mileage and resident population. (4) The study highlights that the 'big port, small city' paradigm imposes significant constraints on the integrated development of Fangchenggang, with industrial development being the most critical challenge for future growth. This research provides new insights into the 'Port-Industry-City' literature by developing a multi-dimensional framework to assess the synergistic development of port cities and their industries.

Text analytics for co-creation in public sector organizations: a literature review-based research framework

The public sector faces considerable challenges that stem from increasing external and internal demands, the need for diverse and complex services, and citizens’ lack of satisfaction and trust in public sector organisations (PSOs). An alternative to traditional public service delivery is the co-creation of public services. Data analytics has been fueled by the availability of immense amounts of data, including textual data, and techniques to analyze data, so it has immense potential to foster data-driven solutions for the public sector. In the paper, we systematically review the existing literature on the application of Text Analytics (TA) techniques on textual data that can support public service co-creation. In this review, we identify the TA techniques, the public services and the co-creation phase they support, as well as envisioned public values for the stakeholder groups. On the basis of the analysis, we develop a Research Framework that helps to structure the TA-enabled co-creation process in PSOs, increases awareness among public sector organizations and stakeholders on the significant potential of TA in creating value, and provides scholars with some avenues for further research.

Barriers and Facilitators to implementation of the Free Water Protocol in the Acute Stroke Unit Setting: A Mixed Methods Systematic Review.

Free water protocols (FWP) give patients at risk of aspiration the option to drink water between meals. Evidence is lacking about their use in acute stroke care. This systematic review evaluated the literature about barriers and facilitators to FWP implementation in acute stroke unit settings. Electronic databases and grey literature sources were systematically searched, eligible studies were critically appraised, and data extracted and mapped onto the Consolidated Framework for Implementation Research (CFIR). The results are presented in a narrative synthesis. Five studies were identified for inclusion: Two qualitative studies, 1 mixed method study, 1 randomised controlled trial and 1 pilot cohort study. Barriers and facilitators to implementation were identified across the 5 CFIR domains. Key barriers were a lack of evidence base and a standard protocol, trying to adapt and deliver a protocol designed for a different setting, complexity of patient selection and FWP design, culture of risk aversion, nursing staff availability and skills to deliver the FWP, and a greater use of agency nurses and transient workforce. Key facilitators were the existence of national guidance for research into its use, implementation of oral care protocols prior to FWP implementation, the unique characteristics of the acute stroke setting, leadership and modelling by senior clinicians, interdisciplinary working and accountability for roles and responsibilities for each discipline, regular communication and ongoing education, and involving patients in decision making and implementation. The findings of this review will guide the data collection of a feasibility study of the FWP in acute stroke.

Spatio-Temporal Dynamic Impacts of Land Use/Cover Change on Eco-Environment Quality in Li River Basin, China

Clarifying the spatio-temporal evolution characteristics of eco-environment quality (EEQ) under land use/cover change (LUCC) and its coordinated relationship is of great importance for formulating reliable environmental protection strategies and measures to promote regional sustainable development. Most studies have emphasized the importance of LUCC for regional ecological quality. However, deeply unraveling the complex interrelationships between them remains a significant challenge, particularly in ecologically fragile regions like the Li River Basin. Therefore, based on the historical land use data and the remote sensing ecological index (RSEI) of the Li River Basin from 1990 to 2020, we analyzed the spatio-temporal evolution characteristics of EEQ and LUCC, and explored the influences and non-linear effects between them by using the bivariate spatial autocorrelation and XGBoost model. The key findings are as follows: (1) Land use/cover (LUC) in the Li River Basin was predominantly characterized by forestland and cropland, which together accounted for approximately 97% of the region. The interconversion between forestland and cropland represented the primary form of regional LUCC, while built-up land demonstrated a growth trend by encroaching on cropland. (2) The EEQ exhibited a volatile upward trend within the research period, with an average RSEI value of 0.5891, indicating a generally favorable ecological condition. (3) A significant negative spatial correlation was observed between land use intensity (LUI) and the RSEI, characterized by H–L, L–H, and non-significant clusters. (4) There was a distinct non-linear relationship that existed between LUCC and the RSEI, underscoring that appropriately regulating regional land use scale can help maintain ecological balance. These findings provide a scientific basis for optimizing land spatial management models and formulating policies to improve ecological environment quality, while also offering a new framework and reference for further ecological research on EEQ influencing factors and driving mechanisms.

Fano resonances of coupled magnetic-dipole modes in a dielectric triplet for precise discrimination of deep-subwavelength microspheres

Mie resonances in dielectric particles play a crucial role in light–matter interaction, characterized by strong multipolar optical responses and low dissipative losses. This study presents an innovative methodology for precise discrimination of the size and quantity of deep-subwavelength microspheres by leveraging Fano resonances in coupled magnetic-dipole (MD) modes of a CaTiO3-ceramic-particle triplet. The multifaceted characteristics of coupled MD resonances exhibit high sensitivity and specificity in detecting minute changes in the ambient environment. The alignment of theoretical and experimental results demonstrates the reliability and accuracy of our approach, highlighting its versatility and adaptability. This principle of deep-subwavelength measurement can also be appreciated at the nanoscale, indicating great potential for its applications in biological detection, chemical sensing, and environmental monitoring. The multifaceted Fano resonances of coupled Mie dipole modes establish a robust framework for future research in real-time monitoring and precision detection.

Leveraging LASSO-Based Methodologies for Enhanced SNP Analysis in Plant Genomes

Abstract Genome-wide association studies (GWAS) have been widely used to reveal the associations between genetic variations and phenotypes in a population of individuals. However, they have been criticized for missing important genetic markers usually due to the fact that the data may not fit the statistical models well. In this study, we address the challenge of identifying significant single nucleotide polymorphisms (SNPs) in GWAS by harnessing the capabilities of two sophisticated regression models, BIGLASSO and AUTALASSO. They are both variants of the least absolute shrinkage and selection operator (LASSO). Our research contributes to the field of genomics through detailed comparative analysis of Arabidopsis thaliana, revealing how each method specializes in uncovering SNPs for different trait types. Our findings indicate that BIGLASSO shows stronger alignment with GWAS results, particularly excelling in the analysis of binary traits, even when these are derived from categorical phenotypes. AUTALASSO could be effective for quantitative traits and complement GWAS. We demonstrate that these LASSO-based methods can significantly enhance the identification of genetic markers, offering a potent complement to traditional GWAS approaches. Our findings not only bridge the gap between statistical and machine learning methodologies in genetic studies but also provide a practical framework for researchers seeking to validate reported SNPs or explore new genomic regions for trait association. This work stands as a pivotal step towards the integration of advanced computational techniques in genomics, paving the way for more precise and comprehensive genetic analyses.

Charting the future of green HRM practices: insights from theories, context, characteristics and methodologies (TCCM) framework and analytical hierarchy process (AHP) analysis

PurposeThe term “green human resource management” (Green HRM) is becoming more prevalent in both academics and business. This study’s main objective is to locate current understanding and trends in Green HRM literature by examining the available Green HRM literature. And prioritize the Green HRM practices in higher education institutions (HEIs). The study also identifies prevailing theories, context, characteristics and methodologies as current research interests to identify potential future research areas in Green HRM.Design/methodology/approachThe study opted for a multi-method approach, combining theories, context, characteristics and methodologies (TCCM) for literature review and the analytical hierarchy process (AHP) for methodological analysis. The article selection process is illustrated via a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart. The study examines Green HRM literature using the TCCM framework as it aids in identifying commonly used theories, constructs and methods, suggesting future research directions (FRDs). After identifying core Green HRM practices, the study prioritizes them for the HEIs using the AHP.FindingsThe comprehensive analysis of the literature is provided by the TCCM framework, which identifies the most influential theories, contexts, characteristics and methodologies used in Green HRM literature. The most used theory was found to be the ability-motivation-opportunity (AMO) theory, followed by social identity theory. In context, the hospitality industry was the dominating sector/industry of the domain. Under the characteristics, various variables in Green HRM literature were identified and classified as antecedents, mediators, moderators and outcomes. The most used research method was quantitative, and the most opted research design was empirical. FRDs are also suggested analyzing the current trends of the Green HRM field. The finding of AHP indicates that green recruitment and selection holds the highest level of importance among Green HRM in HEIs.Research limitations/implicationsThis study is vital for past-future orientation, in which the past is explored in order to build new routes of Green HRM research. It used research publications from the Scopus database, and future studies may use other databases to improve understanding of Green HRM research.Practical implicationsAHP weights and ranks aid decision-makers in assessing Green HRM practice importance, facilitating pairwise comparisons before implementation in the HEIs and other service industries. It guides managers on allocating appropriate importance to each practice for informed decision-making.Social implicationsThis study enriches Green HRM literature using the TCCM framework, categorizing literature into four key areas and offering valuable FRDs for future researchers. Its comprehensive review provides crucial insights into the research landscape of Green HRM, aiding in understanding theories, variables, relevant sectors and methodologies. The study offers comprehensive theoretical implications in the realm of Green HRM.Originality/valueExisting research indicates that no study has employed a multi-method approach combining the TCCM framework and AHP in Green HRM research. The initial TCCM phase conducts a thorough analysis, examining theories, contexts, characteristics and methodology, a unique methodology. It connects TCCM findings to FRDs. In the subsequent phase, AHP prioritizes Green HRM practices for the HEIs based on identified research gaps from TCCM. This innovative fusion of TCCM and AHP, resulting in FRDs and implications, represents the novelty of this paper.

Consumer Behavior's Evolution, Emergence, and Future in the AI Age Through the Lens of MR, VR, XR, Metaverse, and Robotics

ABSTRACTA critical discussion of the evolution of consumer behavior, ethical consideration, and encouraging the new future directions in the AI era, we highlight the ten main ideas regarding the evolution, emergence, and future of consumer behavior in the AI Age through the lens of immersive technologies and their significance in the changing landscape of consumer behavior research. In light of the significant gaps in understanding how immersive technologies influence consumer behavior, the urgent need for in‐depth knowledge in this area in the AI era is emphasized. Analytically, (1) the literature findings based on critical studies, (2) the connection of several thought‐provoking specific and nuanced research questions, comprehensive theories, frameworks, and contextual examples and suggestions of new frameworks or adaptations for each immersive technology, and (3) the overview of the new research directions, thrusts, and methodological approaches per study area within consumer behavior literature related to metaverse, automation, and robotics serve as a crucial foundation for our objectives and expected contributions of our article. The organization of these ideas logically allows us to see a clear progression from the transformative impact of AI and immersive technologies on consumer behavior to the need for interdisciplinary research and a focus on corporate responsibility in the digital age.

Students’ e-learning use intention post-COVID-19

PurposeThe COVID-19 pandemic compelled educational institutions to shift from classroom interactions to electronic learning (e-learning). This study uses eTAM with usability dimensions to examine the use of e-learning for core academic activities during the COVID-19 pandemic. Leveraging the switching value framework, it investigates students’ preference for extending the use of e-learning to extracurricular activities post-pandemic. The study also integrates eTAM and the switching value framework to conceptualize students’ e-learning usage behavior in a synchronous learning environment.Design/methodology/approachStructural equation modeling was used to test the proposed research framework using a cross-sectional design. Data were collected through a survey conducted at two premier management institutes with broad national representation in India.FindingsThe result revealed that emotional cost had a more significant impact on perceived switching value compared to learning, sunk and reduced performance costs. Also, perceived switching value had a stronger influence on e-learning than the eTAM factors. Interestingly, learning support negatively influenced perceived ease of use and usefulness.Originality/valueThe study provides evidence that while eTAM largely explains e-learning usage during the pandemic, perceived switching value significantly influences its extended use post-pandemic. Our study challenges the belief that eTAM factors influence the continuous use of e-learning post-pandemic. The study insights can guide educational institutions, educators and policymakers in expanding the application of e-learning beyond the pandemic.

Unraveling multimodality of digital health records by comparing mortality trajectories of diagnoses of diseases from over 12 million patients.

Understanding the multimodality of digital health data, including the scope of death records, is essential for adequate data acquisition to build a research framework for the health sciences. In this study, I leveraged the diverse healthcare records of over 12 million patients to reconstitute mortality trajectories that navigate the sequence of disease processes shared among patients from initial presentation through interim conditions that ultimately terminate in fatal outcomes. I conducted a comprehensive analysis of longitudinal discharge records for 10.4 million patients from US hospitals, utilizing the US State Inpatient Data (USSID) including 290,253 records of deaths in clinics. I also scrutinized the cross-sectional records of Korea from the billing reviews, specifically the National Inpatients Set of Korea (NISK), encompassing 2.1 million patients. By tracing the diagnostic timelines of patients diagnosed with significant comorbid diseases (False Discovery Rate (FDR) <0.1), I built mortality trajectories, mapping the temporal progression of disease diagnoses resulting in death. My trajectory model rewired 705 significant mortality trajectories across both datasets (USSID and NISK). The presented mortality trajectories successfully recapitulated established patterns of mortality for each country, while also revealing different trajectories leading to death, influenced by the modality of data. For example, viral hepatitis, a known predisposing feature of liver cancer in Asia, was observed to initiate in younger Koreans. Interestingly, owing to the collection of hospital records, the modeled mortality trajectories derived from the USSID converged towards sepsis. Although a substantial sequence of diagnostic processes is shared between USSID and NISK, the multimodality of these two datasets highlights different diagnoses preceded by fatal outcomes. Unraveling mortality patterns is feasible with an appropriate understanding of the multimodality of digital health data.

ESG as an innovative practice: global interdisciplinary review with a focus on Asia Pacific

ABSTRACT Integrating environmental, social, and governance (ESG) considerations into businesses has shown mixed impacts, largely due to the need for coordination across various organizational functions, each with distinct objectives and language. This study provides a comprehensive overview of ESG perspectives across general management, marketing, and operations management, evaluating ESG research and comparing global business contexts, specifically, Asia-Pacific versus non-Asia-Pacific countries. We identify both commonalities and differences in ESG research across disciplines and regions. Based on the findings, we propose a synthesized theoretical framework for future research and offer practical guidance for organizations aiming to incorporate ESG principles into innovative firm-level practices.

The transcriptomic footprint of Mytella strigata: de novo transcriptome assembly of a major invasive species

Mytella strigata, a potentially invasive species native to South America, is rapidly spreading across various aquatic ecosystems around the globe, posing a threat to native mussels. This study presents the first comprehensive de novo transcriptome assembly of M. strigata. We generated 254 million reads, which were processed and assembled using the Trinity assembler, resulting in 60362 transcripts with an N50 of 1,578 bp and over 93–98% completeness, as confirmed by BUSCO analysis with multiple ortho-datasets. A number of databases were used for functional annotation, including UniProt, KEGG, Reactome, InterPro, and eggNOG. Gene Ontology and pathway analyses identified transcripts associated with key biological processes, including those associated with cell signalling, metabolism, stress responses, cancer pathways, and immune regulation. This dataset enriches the bivalve database by advancing the understanding of the adaptive success and evolutionary resilience of this invasive species. The present study provides a fundamental framework for future research on the ecological and evolutionary impacts of this invasive species.