Advances In Research Research Articles

Harnessing predictive analytics to enhance medication adherence: A strategic model for public health impact

This review paper explores the critical role of predictive analytics in enhancing medication adherence, a significant challenge impacting global public health and healthcare systems. Medication non-adherence is linked to increased healthcare costs, poor health outcomes, and reduced quality of life for patients. By leveraging predictive analytics, healthcare providers can identify patients at risk of non-compliance, enabling targeted interventions that address individual barriers to adherence. The paper outlines a strategic framework for integrating predictive analytics into healthcare systems, emphasizing the importance of data sources, algorithm selection, and patient engagement. Furthermore, it discusses the broader implications of improved medication adherence for public health, including potential reductions in healthcare costs and enhancements in system efficiency. The conclusion offers strategic recommendations for policymakers and healthcare providers, highlighting the need for further research and technological advancements in predictive analytics to fully realize its potential in improving medication adherence. This review underscores the importance of data-driven decision-making in healthcare and its role in fostering a culture of adherence that benefits patients and communities alike.

Space-based solar power: Unlocking continuous, renewable energy through wireless transmission from space

Space-Based Solar Power (SBSP) is an emerging technology that aims to harness the abundant and uninterrupted solar energy available in space and beam it wirelessly to Earth. This innovative approach addresses the limitations of terrestrial solar energy, such as weather variability and the day-night cycle, by positioning solar power stations in space where sunlight is constant. The stations, composed of large arrays of solar panels, capture the solar energy and convert it into microwaves or laser beams, which are then transmitted to receiving stations on Earth for conversion into usable electricity. Research in SBSP focuses on optimal orbital positions, with geostationary and low Earth orbits being considered for maximum energy capture and efficient transmission. Advancements in materials, wireless power transmission technologies, and space-based assembly techniques are critical to the design and deployment of these stations. Additionally, economic and technical feasibility studies explore the challenges of launching, maintaining, and scaling SBSP systems. These include high initial costs, energy transmission efficiency, safety concerns, and the logistics of long-term maintenance. The potential benefits of SBSP are significant. It offers a clean, renewable energy source that could meet the growing global demand for electricity while reducing reliance on fossil fuels. By providing continuous energy, SBSP could enhance energy security and contribute to global efforts to combat climate change. However, several challenges remain, including addressing space debris risks and ensuring the safety of high-power energy transmission to Earth. As research and technological advancements continue, SBSP holds promise as a transformative solution for future energy needs.

Advancing prognostic precision in gastric cancer with an immunoinflammatory index

Gastric cancer remains a major global health challenge with high morbidity and mortality rates. Recent advancements in immunology and inflammation research have highlighted the crucial roles that these biological processes play in tumor progression and patient outcomes. This has sparked new interest in developing prognostic biomarkers that integrate these two key biological processes. In this letter, we discuss the recent study by Ba et al , which proposed a novel prognostic immunoinflammatory index for patients with gastric cancer. We underscore the importance of this research, its potential impact on medical practice, and the prospective avenues for further investigation in this rapidly emerging area of study.

An empirical analysis of user intention to use chatbots for airline tickets consultation

Purpose This study aims to empirically analyze the factors influencing users’ intention to use chatbots for airline ticket consultation. It seeks to introduce a comprehensive framework based on the technology acceptance model (TAM) that integrates key factors alongside traditional TAM constructs to understand what drives behavioral intention to use chatbots in the context of airline ticket consultation. Design/methodology/approach The study uses the partial least squares-structural equation modeling (PLS-SEM) approach to validate the proposed model empirically. Data were collected through a survey questionnaire distributed to potential users in Saudi Arabia, with 393 valid responses from a total of 409 received being included in the analysis. Findings The empirical analysis confirms the significance of perceived usefulness and user satisfaction as direct determinants of behavioral intention. Additionally, it reveals that factors such as perceived ubiquitous access, perceived completeness, perceived accuracy, perceived unbiased response and perceived convenience have both direct and indirect significant impacts on the behavioral intention to use chatbots for airline ticket consultation. Originality/value This research advances theoretical understanding and holds practical implications for designing and implementing effective chatbot services. By investigating the complex interplay of these factors, the study makes substantive contributions to both theoretical advancements and practical applications in the field, particularly in enhancing the user experience and acceptance of chatbots for airline ticket consultations.

Publication Outcomes of Abstracts Presented at the 2020 Society for Investigative Dermatology Annual Meeting

The Society for Investigative Dermatology (SID) was created to promote the advancement of skin biology research. The organization hosts a conference annually that allows for the dissemination of basic science knowledge to advance dermatology research to new heights. Our study investigates the publication status of research abstracts presented at SID to determine if publication rates were similar to those of other widely attended conferences in dermatology. We performed a literature search for each abstract presented at the conference in 2020 and found that only 27.6% of abstracts make it to publication. Due to various reasons outlined in this article, publication rates of SID projects are lower than many other dermatology conferences attended. Therefore, conference participants should be aware of how study designs and research topics can influence publication outcomes.

Pathways to persuasion: The impact of social media influencers’ self-disclosure and follower size on persuasion outcomes

A 2 (influencer type: nano with 5000 followers vs mega with 1.1 million followers) × 2 (influencer self-disclosure: low depth vs high depth) between-subjects online experiment tested the different pathways social media influencers take to achieve persuasion outcomes in one model. Participants viewed an Instagram influencer’s profile page with either 5000 or 1.1 million followers, and a post from the influencer with either low or high depth self-disclosure. Participants then answered questions regarding social attraction, parasocial relationship, perceived expertise, persuasion outcomes, covariates, and demographic information. Results showed three serial pathways facilitate persuasion: two pathways through self-disclosure depth by way of social attraction and parasocial relationship development and another pathway through follower size by way of perceived expertise. This research advances understanding of the influencing process by using theory and empirical precedent to derive and test an integrated model of the influencing process.

The Role of Urinary Extracellular Vesicles in Kidney Cancer: Diagnostic and Therapeutic Potential

Renal cancer ranks as the 14th most common cancer globally, with renal cell carcinoma (RCC) being the primary variant, arising from renal tubular epithelial cells; clear cell RCC constitutes about 80% of cases. Despite their limitations, surgery and targeted therapy remain the mainstays of RCC treatment. Regardless of advancements in RCC research, substantial obstacles continue to exist, such as delayed diagnosis, advanced distant metastasis, and drug resistance. As urine is an easily accessible biofluid, the identification of EVs has paved the way for novel biomarker research. Urinary extracellular vesicles (uEVs) are a novel source of biomarkers with potential applications in cancer detection and management, utilizing a less invasive approach. New data indicate that uEVs are crucial in several areas of RCC, containing tumor development, metastasis, immune evasion, and response to drugs. These vesicles facilitate intercellular communication by transporting a variety of bioactive substances, including RNA, DNA, proteins, and lipids, and are released into the extracellular space by the majority of cell types. uEVs RNAs and proteins are presently being investigated for their possible application as diagnostic biomarkers for different types of kidney cancer. This review summarizes the most recent research examining the potential of uEVs cargo as a biomarker for the diagnosis, prognosis, and treatment of renal cancer.

Streptomyces hygroscopicus and rapamycinicus Evaluated from a U.S. Marine Sanctuary: Biosynthetic Gene Clusters Encode Antibiotic and Chemotherapeutic Secondary Metabolites

Cancer remains a leading cause of death worldwide. Also threatening the public is the emergence of antibiotic resistance to existing medicines. Despite the challenge to produce viable natural products to market, there continues to be a need within public health to provide new chemotherapeutic drugs such as those exhibiting cytotoxicity and tumor cell growth-inhibitory properties. As marine genomic research advances, it is apparent that marine-derived sediment harbors uniquely potent bioactive compounds compared to their terrestrial counterparts. The Streptomyces genus in particular produces more than 30% of all secondary metabolites currently approved for human health, thus harboring unexplored reservoirs of chemotherapeutic and antibiotic agents to combat emerging disease. The present study identifies the presence of Streptomyces hygroscopicus and rapamycinicus in environmental sediment at locations within the U.S. Stellwagen Bank National Marine Sanctuary (SBNMS) from 2017 to 2022. Sequencing and bioinformatics methods catalogued biosynthetic gene clusters (BGCs) that drive cytotoxic and antibiotic biochemical processes in samples collected from sites permittable and protected to fishing activity. Poisson regression models confirmed that Sites 1 and 3 had significantly higher occurrences of rapamycinicus than other sites (p < 0.01). Poisson regression models confirmed that Sites 1, 2 and 3 had significantly higher occurrence for Streptomyces hygroscopicus across sites (p < 0.05). Interestingly, permitted fishing sites showed a greater prevalence of both species. Statistical analyses showed a significant difference in aligned hits with polyketide synthases (PKSs) and non-ribosomal peptide synthetases (NRPSs) by site and between species with hygroscopicus showing a greater quantity than rapamycinicus among Streptomyces spp. (p < 0.05; F = 4.7 > F crit).

Energy‐Aware Power Control Scheme For Water Quality Monitoring Systems

ABSTRACTThis research introduces an innovative power management approach for wireless sensor networks in aquatic environmental monitoring. The study presents a dynamic algorithm that optimizes energy consumption in long range (LoRa) communication nodes by adaptively adjusting transmission power based on sensor–gateway distances. Leveraging GPS data and a log‐normal shadowing model, the method enables efficient power allocation. Field testing in an aquaculture setting demonstrates the energy‐aware power control (EAPC) algorithm's efficacy. Nodes at 500 m from gateways achieve up to 39% reduction in power consumption compared to fixed‐power systems. At 1250 m, savings decrease to 22%, and at 1500 m, to 11%, while maintaining reliable communication. This research advances sustainable aquatic resource management, offering applications in aquaculture, environmental conservation, and water resource management. By optimizing power usage, the approach contributes to more effective long‐term monitoring of aquatic environments.

Building Robust Manganese Hexacyanoferrate Cathode for Long-Cycle-Life Sodium-Ion Batteries.

Manganese Hexacyanoferrate (Mn─HCF) is a preferred cathode material for sodium-ion batteries used in large-scale energy storage. However, the inherent vacancies and the presence of H2O within the imperfect crystal structure of Mn─HCF lead to material failure and interface failure when used as a cathode. Addressing the challenge of constructing a stable cathode is an urgent scientific problem that needs to be solved to enhance the performance and lifespan of these batteries. In this review, the crystal structure of Mn─HCF is first introduced, explaining the formation mechanism of vacancies and exploring the various ways in which H2O molecules can be present within the crystal structure. Then comprehensively summarize the mechanisms of material and interfacial failure in Mn─HCF, highlighting the key factors contributing to these issues. Additionally, eight modification strategies designed to address these failure mechanisms are encapsulated, including vacancy regulation, transition metal substitution, high entropy, the pillar effect, interstitial H2O removal, surface coating, surface vacancy repair, and cathode electrolyte interphasereinforcement. This comprehensive review of the current research advances on Mn─HCF aims to provide valuable guidance and direction for addressing the existing challenges in their application within SIBs.

Some Contributions from Embodied Cognition to Psychonarratology.

Psychonarratology is a discipline that combines classic frameworks in narratology and psycholinguistics. The goal of this review article is to highlight the contributions that recent evidence from causality processing studies, conceptual metaphor theory and embodied cognition can make to Psychonarratology, in order to promote a more comprehensive study of narrative. We argue that, in order to increase its descriptive and explanatory power, Psychonarratology would benefit from a more strongly interdisciplinary approach. This approach would integrate grounded theoretical cognition and recent methods from different disciplines. With this aim, we review study evidence that highlights the fundamental link between cognition and causal connections in narratives, as well as proposals from conceptualization theories. These approaches indicate that metaphorical mappings and discourse connections play a crucial role in the establishment of narrative sequences. Moreover, we elaborate on the contributions that recent advances in research on embodied cognition, causality processing and Conceptual Metaphor Theory can make to the theoretical and methodological framework of Psychonarratology, such as promoting the design of more ecologically valid tasks, and the study of narrative production and comprehension by non-neurotypical participants.

Narratives of worth: analyzing the effects of worthy and anti-immigrant narratives on immigration attitudes

ABSTRACT Political elites use contrasting narratives about immigrants to shape public attitudes and influence immigration policy support. This study examines how pro- and anti-immigrant narratives affect public preferences for reducing immigration in the United States. Using two distinct samples – a non-Hispanic White sample from YouGov and a racially diverse sample from NORC – the experiment reveals that exposure to these narratives significantly shapes attitudes toward immigration. Effects vary depending on the type of narrative, as well as respondents’ political affiliations and racial backgrounds. Specifically, the pro- (‘worthy’) immigrant narrative, which portrays immigrants as hardworking, law-abiding members of the in-group, reduces support for lowering immigration levels, especially among White respondents, with Republicans and Independents showing the greatest shift. In contrast, the anti-immigrant narrative, which characterizes unauthorized immigrants as undeserving outsiders, increases support for reducing immigration across racial groups. This research advances our understanding of how political rhetoric shapes public attitudes toward immigration by employing large, diverse samples and realistic portrayals of pro- and anti-immigrant narratives.

Conditional Font Generation With Content Pre‐Train and Style Filter

AbstractAutomatic font generation aims to streamline the design process by creating new fonts with minimal style references. This technology significantly reduces the manual labour and costs associated with traditional font design. Image‐to‐image translation has been the dominant approach, transforming font images from a source style to a target style using a few reference images. However, this framework struggles to fully decouple content from style, particularly when dealing with significant style shifts. Despite these limitations, image‐to‐image translation remains prevalent due to two main challenges faced by conditional generative models: (1) inability to handle unseen characters and (2) difficulty in providing precise content representations equivalent to the source font. Our approach tackles these issues by leveraging recent advancements in Chinese character representation research to pre‐train a robust content representation model. This model not only handles unseen characters but also generalizes to non‐existent ones, a capability absent in traditional image‐to‐image translation. We further propose a Transformer‐based Style Filter that not only accurately captures stylistic features from reference images but also handles any combination of them, fostering greater convenience for practical automated font generation applications. Additionally, we incorporate content loss with commonly used pixel‐ and perceptual‐level losses to refine the generated results from a comprehensive perspective. Extensive experiments validate the effectiveness of our method, particularly its ability to handle unseen characters, demonstrating significant performance gains over existing state‐of‐the‐art methods.

Legal dissemination protections in community-based participatory health equity research.

There are legal protections for nurse researchers at public universities who employ community-based participatory research (CBPR) in research about social or health inequities. Dissemination of CBPR research data by researchers or participants may divulge unjust laws and create an imperative for university involvement. What are United States-based legal dissemination protections for CBPR health equity nurse researchers? Three case examples employing CBPR are examined: 1) a mixed methods study with participants reporting illegal discrimination in a municipal initiative about capacity building in community-based organizations serving children; 2) a visual methods study exposing potential clean air law violations in environmental justice research; and 3) a study examining workload violations and illegal discrimination among hotel workers. The cases involved participants from protected social class backgrounds. The research is described with respect to: background, funding, research purpose, and research team; research participants' power and legal vulnerability; dissemination of relevant research information balancing vulnerability and power; research dissemination issues; potential legal issues involved; and laws researchers may use. IRB approval was obtained for the studies. Using a social justice ethical framework, studies highlight actual or potential legal aspects of data dissemination in the context of gathering data about injustice. Legal protections for research data dissemination, whistleblower protection, research advancement protection, anti-harassment protection, false claims, defamation, and visual data liabilities are described. Knowledge of legal research data dissemination protections is an essential competency for nurse researchers invested in uplifting social justice.

The Role of Data Analytics in Digital Transformation: A Study of how Firms Leverage Data for Insights

Big data helps organisations undergo a digital transition. The majority of businesses rely on big data to enhance the dependability, velocity, calibre, and effectiveness of their corporate operations. Large volumes of information are known to be collected, stored, and maintained by big data, which gives businesses a competitive edge. The main research gap addressed by previous writing studies is the lack of a thorough analysis on the use of massive amounts of data for computerised transformation. This is addressed by looking at the key benefits, opportunities, and challenges that big data poses to businesses as they cautiously alter their structure. This research advances knowledge about big data in general by employing a case study technique involving Google and a comprehensive survey of the literature. The study's findings demonstrate how companies work together to leverage the potential of big data analytics, especially for profitability, market expansion, decision-making, and information synthesis. Furthermore, this study recommends the use of business intelligence strategies and long-term planning methodologies to guarantee data protection.

Therapeutic Modulation of the Microbiome in Oncology: Current Trends and Future Directions.

Cancer is a predominant cause of mortality worldwide, necessitating the development of innovative therapeutic techniques. The human microbiome, particularly the gut microbiota, has become a significant element in cancer research owing to its essential role in sustaining health and influencing disease progression. This review examines the microbiome's makeup and essential functions, including immunological modulation and metabolic regulation, which may be evaluated using sophisticated methodologies such as metagenomics and 16S rRNA sequencing. The microbiome influences cancer development by promoting inflammation, modulating the immune system, and producing carcinogenic compounds. Dysbiosis, or microbial imbalance, can undermine the epithelial barrier and facilitate cancer. The microbiome influences chemotherapy and radiation results by modifying drug metabolism, either enhancing or reducing therapeutic efficacy and contributing to side effects and toxicity. Comprehending these intricate relationships emphasises the microbiome's significance in oncology and accentuates the possibility for microbiome-targeted therapeutics. Contemporary therapeutic approaches encompass the utilisation of probiotics and dietary components to regulate the microbiome, enhance treatment efficacy, and minimise unwanted effects. Advancements in research indicate that personalised microbiome-based interventions, have the potential to transform cancer therapy, by providing more effective and customised treatment alternatives. This study aims to provide a comprehensive analysis of the microbiome's influence on the onset and treatment of cancer, while emphasising current trends and future possibilities for therapeutic intervention.

THE ROLE OF DYNAMIC CAPABILITIES IN LINKING EXPORT COMMITMENT TO EXPORT PERFORMANCE: AN EMPIRICAL STUDY OF EXPORTING FIRMS

This study examines the relationship between export commitment, dynamic capabilities, and export performance in the context of international business. The conceptual model presented depicts dynamic capabilities as a mediating variable between export commitment and export performance.The study employs a quantitative approach, using survey data collected from 195 respondents representing exporting firms with SEM PLS analysis. The analysis's findings show that export commitment significantly improves both export performance and dynamic capabilities. Export performance is positively impacted by dynamic capabilities as well, albeit this relationship is not very strong.These results imply that companies who are more committed to exporting typically have stronger dynamic capabilities and export performance. Nevertheless, the initial hypothesis regarding the mediating role of dynamic capacities in the link between export commitment and export performance is not supported. This research advances our knowledge of how companies can enhance their export performance through the development of export commitment and the fortification of dynamic skills. This study has significance for managers and policy makers who want to increase exporting enterprises' international competitiveness.

Ally or traitor: the dual role of p62 in caspase-2 regulation.

Caspase-2 is a unique and conserved cysteine protease that is involved in several cellular processes, including different forms of cell death, maintenance of genomic stability, and the response to reactive oxygen species. Despite advances in caspase-2 research in recent years, the mechanisms underlying its activation remain largely unclear. Although caspase-2 is activated in the PIDDosome complex, its processing could occur even in the absence of PIDD1 and/or RAIDD, suggesting the existence of an alternative platform for caspase-2 activation. Here, we show that caspase-2 undergoes ubiquitination and interacts with scaffolding protein p62/sequestosome-1 (SQSTM1) under normal conditions and in response to DNA damage. p62 promotes proteasomal but not autophagic caspase-2 degradation as well as its dimerization and activation that triggers the caspase cascade and, subsequently, cell death. Inhibition of p62 expression attenuates cisplatin-induced caspase-2 processing and apoptosis. Notably, the ZZ domain of p62 is critical for caspase-2 binding, whereas the UBA domain is seemingly required to stabilize the p62-caspase-2 complex. Thus, we have uncovered the dual role of p62 in regulating caspase-2 activity: it can foster the degradation of caspase-2 in the proteasome or facilitate its activation by acting as a scaffold platform.

Creating a content validation process to advance a campus-wide leadership framework

PurposeA content validation process of an institutional leadership framework is described for leadership educators in higher education. We created this process to further integrate our leadership framework across campus, maintain alignment with advancements in leadership research and ensure it is broadly inclusive and culturally responsive.Design/methodology/approachOur approach included seven essential design elements and was informed by a review of leadership frameworks in practice and the literature, validation studies and a comprehensive document review.FindingsOur approach yielded a validated leadership framework with modifications to its principles, values, competencies and outcomes. Modifications addressed pre-determined criteria and were deemed relevant to leadership research and our institutional context.Originality/valueThe external content validation process of our leadership framework is novel and serves as a valuable guide for those considering opportunities to strengthen their own institutional approaches to leadership education.

Using a hybrid Delphi/nominal group technique to develop a tool for appraising the quality of mixed-method grounded theory research.

Among the many methodological approaches used to generate new knowledge in nursing research are mixed methods and grounded theory. However, it can be challenging for researchers to achieve and demonstrate the philosophically congruent integration required in mixed-method, grounded-theory research. To use a hybrid of Delphi and nominal group techniques to develop a tool to appraise the quality of mixed-method, grounded-theory research. The extant literature informed the construction of an evidence-based checklist and explanatory notes that were discussed and voted upon by experienced mixed-method and grounded-theory researchers. The tool was progressively piloted in three projects employing varying grounded-theory approaches. Experienced mixed-method and grounded-theory researchers discussed and voted on the construction of an evidence-based checklist and explanatory notes informed by the extant literature. The researchers piloted the tool in three rounds, with reference to previous studies that used various grounded-theory approaches. This study reports an effective strategy for gaining consensus to develop a tool demonstrating content, inter-rater and concurrent reliability. Nurse researchers of various levels of expertise can use the tool developed in this study, which will accommodate future advances in mixed-method and grounded-theory research.