ABSTRACT The diverse approaches to defining lecturer performance in higher education create broad perspectives and conclusions regarding the things that influence lecturer performance. This study aims to understand the measurement approach and research variables related to lecturer performance. The literature review research refers to Scopus, Web of Science, and EBSCO sources, with the limitation of measuring lecturer performance in Tri Dharma per the regulations in Indonesia. The results show that there are three approaches to measuring lecturer performance: (1) tri dharma, (2) tri dharma and other additional tasks and (3) measurements with different methods according to the research objectives. Existing lecturer performance measurements can be developed to be more representative and applicable by referring to aspects, methods, and measurement media that have been carried out by previous researchers. One of them involves assessments from students and fellow lecturers, in addition to assessing from the lecturer’s perspective. Researchers can also utilise the results of literature reviews related to individual and organisational variables, which are antecedents of lecturer performance or mediating, moderating, and consequential variables related to lecturer performance, as further research opportunities.

This study presents a systematic and critical review of global scientific research on lithium extraction from 2004 to 2025. Using a mixed-method approach bibliometric analysis, keyword co-occurrence mapping, and qualitative content evaluation, 383 peer-reviewed articles were analyzed following PRISMA protocols. Three major thematic clusters emerged: (a) direct lithium extraction (DLE) from brines using advanced membranes and electrochemical systems; (b) environmental and social impacts of extraction in sensitive regions and (c) integrated extraction strategies combining chemical, electrochemical and thermal methods. The review highlights a shift from basic materials research to hybrid technologies aligned with circular economy principles. Based on trend and citation analysis, four research priorities are proposed: improving membrane selectivity in high Mg 2 + /Li + brines, integrating waste valorisation, developing geothermal–solar hybrid systems and applying AI for process optimisation. These priorities support sustainable, efficient and socially responsible lithium extraction, addressing key challenges in the global energy transition.

ABSTRACT CO 2 ‐responsive polymers, which undergo reversible reactions with CO 2 through specific functional groups, allow for the intelligent switching between hydrophilic and hydrophobic states. This property shows great potential for applications in oil and gas extraction. This review first elucidates the fundamental response mechanisms of CO 2 ‐responsive polymers and recent advances in plugging and profile control technologies for CO 2 flooding. It then systematically summarizes the research progress in profile control and plugging over the past five years, including CO 2 ‐responsive random and graft copolymers. Furthermore, recent advances in polymer gels for profile control and plugging are reviewed, categorized into four types: CO 2 ‐responsive in situ gels, microgels, pre‐crosslinked particle gels, and polymer microspheres. Finally, future research directions are highlighted, emphasizing the development of temperature‐ and salt‐tolerant CO 2 ‐responsive materials, the establishment of standardized performance evaluation protocols, and the advancement of multi‐stimuli responsive systems to facilitate large‐scale application in realistic reservoir environments.

Far ultraviolet-C (UVC) is an emerging, flexible technology for indoor air disinfection with the potential to reduce airborne transmission of pathogens while maintaining safety for human tissues. Despite its high efficacy to neutralize a wide range of pathogens and safety for human tissues, implementation of far UVC is hampered by regulatory gaps, consumer uncertainty, and unanswered research questions surrounding the formation and interaction of generated ozone and volatile oxidative byproducts. This commentary describes targeted recommendations for both epidemic-where rapid far-UVC deployment and ability to counter a wide variety of pathogens in balanced with potential environmental impacts on the indoor environment-and long term implementation scenarios, highlighting the need for human health risk studies, regulatory guidance for fa- UVC devices, and real-world cost benefit analyses, which consider the tradeoffs long term of far UVC and germicidal ultraviolet implementation. Far-UVC technologies demonstrate an exciting opportunity to promote the benefits of germicidal UV disinfection to more indoor spaces. More research is needed, however, to ensure its safe and equitable use and development. This work was in part informed by a workshop held by the Johns Hopkins Center for Health Security, which convened experts from academia, government, and industry to evaluate the scientific and policy considerations for far UVC, comparing the new technology to traditional germicidal ultraviolet.

Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinical tasks, but concerns regarding biases, lack of regulation, and potential technical issues pose significant challenges. The lack of a clear definition of AI, combined with limited focus on qualitative research exploring clinicians' perspectives, has limited the understanding of perspectives on AI in primary health care settings. This review aims to synthesize current qualitative research on the perspectives of clinicians on AI in primary care settings. A systematic search was conducted in MEDLINE (PubMed), Scopus, Web of Science, and CINAHL (EBSCOhost) databases for publications from inception to February 5, 2024. The search strategy was designed using the Sample, Phenomenon of Interest, Design, Evaluation, and Research type (SPIDER) framework. Studies were eligible if they were published in English, peer-reviewed, and provided qualitative analyses of clinician perspectives on AI in primary health care. Studies were excluded if they were gray literature, used questionnaires, surveys, or similar methods for data collection, or if the perspectives of clinicians were not distinguishable from those of nonclinicians. A qualitative systematic review and thematic synthesis were performed. The Grading of Recommendations Assessment, Development and Evaluation-Confidence in Evidence from Reviews of Qualitative Research (GRADE-CERQual) approach was used to assess confidence in the findings. The CASP (Critical Appraisal Skills Program) checklist for qualitative research was used for risk-of-bias and quality appraisal. A total of 1492 records were identified, of which 13 studies from 6 countries were included, representing qualitative data from 238 primary care physicians, nurses, physiotherapists, and other health care professionals providing direct patient care. Eight descriptive themes were identified and synthesized into 3 analytical themes using thematic synthesis: (1) the human-machine relationship, describing clinicians' thoughts on AI assistance in administration and clinical work, interactions between clinicians, patients, and AI, and resistance and skepticism toward AI; (2) the technologically enhanced clinic, highlighting the effects of AI on the workplace, fear of errors, and desired features; and (3) the societal impact of AI, reflecting concerns about data privacy, medicolegal liability, and bias. GRADE-CERQual assessment rated confidence as high in 15 findings, moderate in 5 findings, and low in 1 finding. Clinicians view AI as a technology that can both enhance and complicate primary health care. While AI can provide substantial support, its integration into health care requires careful consideration of ethical implications, technical reliability, and the maintenance of human oversight. Interpretation is constrained by heterogeneity in qualitative methods and the diversity of AI technologies examined across studies. More in-depth qualitative research on the effects of AI on clinicians' careers and autonomy could prove helpful for the future development of AI systems.

ABSTRACT Consumer guilt has emerged as a negative sentiment or feeling that influences consumer behavior, resulting from the belief that one has violated a social, personal, or ethical norm. Despite the need for a better understanding of the consumer guilt phenomenon, the antecedents and consequences remain unknown, creating a literature gap on this topic. In this study, we have attempted to assess the existing research on consumer guilt from the past two decades. We analyzed and classified them according to the review structure of Paul and Rosado‐Serrano's (2019) TCCM (theories, contexts, characteristics, methods) framework. Therefore, this study combines the literature on consumer guilt, drawing on theoretical underpinnings, contextual factors, constructs, and research methodologies to examine the growth of consumer guilt research over a specific period. Additionally, based on the concept of amalgamation, we have developed a conceptual model that illustrates the antecedents, mediators, and outcomes of consumer guilt. Furthermore, we have identified some overlooked aspects and proposed insightful research guidelines to advance this field of research.

Clinical reasoning is a core competency in medical practice; however, deficits in this domain among residents are often difficult to identify and remediate because of its cognitive complexity and the absence of standardized assessment approaches. This scoping review aimed to map and analyze existing evidence on strategies to remediate clinical reasoning skill deficits in underperforming medical residents. Using the Arksey and O’Malley framework as refined by Levac and his colleagues, and reported in accordance with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, we systematically searched PubMed, Scopus, MEDLINE, Web of Science, SpringerLink, ProQuest, and EBSCOhost for studies published between 2000 and 2024. Definitions of clinical reasoning, underperformance, and remediation were adopted from prior literature. Twenty studies met the inclusion criteria, comprising original research and literature reviews in multiple medical specialties. Methods for identifying clinical reasoning deficits included written, oral, and performance-based assessments, as well as routine workplace-based evaluations. Remediation strategies ranged from structured institutional programs to individualized, case-specific interventions, with coaching, deliberate practice, guided reflection, and structured thinking frameworks frequently employed. Two studies reported positive outcomes following completion of remediation for clinical reasoning deficits. Key enablers included psychological safety, learner engagement, and accessible faculty support, whereas barriers included learner resistance, inadequate baseline knowledge, faculty skill limitations, and institutional resource constraints. Effective remediation requires early identification, comprehensive diagnostic assessment, and tailored, coaching-based interventions supported by institutional commitment. Nonetheless, substantial variability in definitions, remediation protocols, and evaluation methods highlights the need for greater standardization and further research across diverse contexts to inform evidence-based frameworks for clinical reasoning remediation.

ABSTRACT Sleep tracking has become a growing area of self-tracking, yet the breadth of users’ interactions with sleep-tracking technology has not been comprehensively synthesised. To address this gap, this study analyzes 51 empirical research articles following a three-phase literature review process. Guided by a human–computer interaction framework, we organised the extant research into five components: (1) user, (2) sleep-tracking technology, (3) use context along with corresponding tasks, (4) use and impact (user-oriented outcomes) and (5) design insight (technology-oriented outcomes). The first three components represent the antecedents of sleep tracking, while the latter two capture its outcomes. Based on these insights, we present a synthesising framework to elucidate current research concerning users’ interactions with sleep-tracking technology. Drawing upon our findings, we propose two future research agendas for research design: (1) balancing qualitative with quantitative methods and (2) strengthening theoretical foundations. For future research topics, we put forward four agendas: (1) respect for individual differences and their impact on sleep tracking, (2) sleep-tracking technology evolution, user-centered design and its compatibility, (3) the role of stakeholders and external environment and (4) impacts beyond benefits: underlying mechanisms of use, effective use, behavioural change and potential side effects.

Autoantibodies represent a serological hallmark of SSc. Heart involvement in SSc patients includes diastolic dysfunction, conduction block, pericardial effusion, altered left ventricular ejection fraction (LVEF), valvular pathology, as well as myocardial inflammation and/or fibrosis. To characterize the role of anti-RNA polymerase III (RNAPIII) antibody positivity in the pathophysiology of coronavirus disease 2019 (COVID-19)-related cardiac involvement in SSc patients. We retrospectively analysed four SSc patients with anti-RNAPIII antibodies who developed cardiac complications after COVID-19. This study was approved by the University of Osaka Clinical Research Review Board. All patients were female and had been diagnosed within the past 3 years. Case 1 presented with elevated myocardial enzymes and severe cardiac injury requiring mechanical circulatory support. The diagnosis of COVID-19-related fulminant myocarditis was made. The other three patients did not have elevated myocardial enzymes but had elevated brain natriuretic peptide (BNP) or N-terminal pro-brain natriuretic peptide (NT-proBNP) and pericardial effusion or decreased LVEF and respiratory distress, suggesting the appearance of COVID-19-induced cardiac dysfunction. Patients with anti-RNAPIII-positive SSc may have an increased risk of developing cardiac complications after COVID-19. The pathogenesis may involve angiotensin-converting enzyme 2 (ACE2)-mediated mechanisms, which may include reducing ACE2 expression, leading to increased angiotensin II activity and induce cytokine storm. These results underline the importance of understanding the interplay between autoimmune diseases and infections in promoting immune-mediated cardiac injury. Further investigation is needed to characterize the role of anti-RNAPIII antibodies in the pathophysiology of COVID-19-related cardiac involvement.

ABSTRACT The COVID-19 pandemic triggered major global disruptions, profoundly reshaping supply chains. Understanding and learning from these changes is vital for managers, practitioners, and scholars. This review provides the first comparative analysis of supply chain disruption management strategies before and after COVID-19. Using a hybrid systematic review approach, combining traditional literature review with bibliometric, network, and content analyses, we deliver a structured categorisation of the field and trace its evolution. From a comprehensive search of Scopus and WoS, we identified 1,539 finalised research papers and grouped them into ten thematic clusters: five representing the pre-COVID-19 period and five reflecting post-pandemic developments. For each cluster, we summarise research objectives, methods, contexts, and theoretical contributions, highlighting continuities as well as key shifts. By synthesising insights across both eras, we reveal research gaps, propose propositions, and outline new directions to guide practitioners in strengthening supply chains and scholars in pursuing impactful future studies.

ABSTRACTBackgroundMeasuring patient experiences has become a key initiative for improving healthcare quality worldwide. Since patient experiences are inherently shaped by sociocultural context and healthcare system structures, developing locally relevant measurement tools is crucial for reflecting patients' needs and expectations. South Korea has developed a patient experience questionnaire for hospital inpatient care within its National Health Insurance system through a systematic process involving patient engagement. In outlining the development process of the questionnaire, this study assesses its psychometric properties, focusing on validity and reliability.MethodsThe Patient Experience Assessment (PXA) questionnaire was developed through a three‐phase process: (1) item generation via a literature review and qualitative research with patient and caregiver groups, (2) expert review using the Delphi method, and (3) validity and reliability testing through a pilot test. After stakeholder feedback, the current version of PXA includes 21 items across 6 domains. Psychometric properties were assessed using data from 629 inpatients in four general hospitals, split into two subsamples for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to ensure robust construct validation. Internal consistency was assessed using Cronbach's alpha.ResultsThe PXA questionnaire includes globally recognised patient‐centred themes while addressing unique issues that matter to patients in the Korean healthcare system. EFA identified a four‐factor structure: (1) Information, dignity, and autonomy; (2) Communication with nurses; (3) Communication with doctors; and (4) Hospital environment. CFA confirmed this structure, demonstrating high convergent validity (standardised loadings > 0.70) and satisfactory model fit (CFI and TLI > 0.950, RMSEA = 0.036, SRMR = 0.046). The instrument showed excellent reliability (Cronbach's alpha: total = 0.95; subscales = 0.89–0.93).ConclusionThe PXA questionnaire, currently being implemented in South Korea, demonstrates robust psychometric properties. This work also exemplifies the process of developing a locally relevant patient experience questionnaire, grounded in global knowledge on patient‐centred care.Patient or Public ContributionPatients and caregivers participated in focus group discussions during PXA development. Their opinions directly informed the identification of culturally specific patient experience dimensions relevant to the Korean healthcare system. These findings emphasise engaging target patient populations in developing locally relevant patient experience instruments.

Dyslexia, a prevalent neurodevelopmental disorder affecting reading and writing skills, poses significant challenges to educational attainment. In recent years, mobile assistive technologies have emerged as promising tools to support dyslexic children in their journey. Despite the increasing focus on mobile assistive technology for dyslexic children, a comprehensive overview of the research landscape is lacking. The field is characterized by a proliferation of studies, diverse methodologies, and an expanding knowledge base. This bibliometric review leverages advanced analytical tools, with a primary focus on the VOSviewer software, to conduct a comprehensive analysis of the 53 literatures spanning from 2014 to 2024. A carefully curated dataset, comprising research articles sourced from reputable databases, forms the basis of the analysis. Anticipated outcomes include visually rich maps depicting the keyword co-occurrence patterns within the realm of mobile assistive technology for dyslexic children. We expect to identify key articles shaping the field, prominent clusters of research, and evolving trends. This bibliometric review aspires to contribute a panoramic view of the last decade's research landscape in mobile assistive technology for dyslexic children. The anticipated insights hold the potential to guide future research directions, technological innovations, and educational interventions, ultimately enhancing the support available to dyslexic children through mobile assistive technologies.

Designing homes for ageing minds: A systematic review of design research on cognitive and emotional responses to residential environments

Water in computable general equilibrium models: Review, synthesis and avenues for future research

Emerging catalysts for catalytic ozone advanced oxidation in water purification: Metal-organic frameworks and their derivatives.

A review of current research and development for mechanical ventilation systems in poultry houses

Hot weather, maternal health, and pregnancy experiences, impacts and responses: A systematic review of global qualitative research.

Global review of eco-engineering research with recommendations for nature positive outcomes in coastal ecosystems

Emerging higher-carbon nitrogenous disinfection byproducts: A brief review of structures, occurrence, and research needs

Tobacco Use Behaviors and Related Disparities in 13 High-Tobacco-Burden U.S. States: An Overview of Evidence.