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AIMS: The concept of atrial cardiomyopathy (AtCM) had been percolating through the literature since its first mention in 1972. Since then, publications using the term were sporadic until the decision was made to convene an expert working group with representation from four multinational arrhythmia organizations to prepare a consensus document on atrial cardiomyopathy in 2016 (EHRA/HRS/APHRS/SOLAECE expert consensus on atrial cardiomyopathies: definition, characterization, and clinical implication). Subsequently, publications on AtCM have increased progressively. METHODS AND RESULTS: The present consensus document elaborates the 2016 AtCM document further to implement a simple AtCM staging system (AtCM stages 1-3) by integrating biomarkers, atrial geometry, and electrophysiological changes. However, the proposed AtCM staging needs clinical validation. Importantly, it is clearly stated that the presence of AtCM might serve as a substrate for the development of atrial fibrillation (AF) and AF may accelerates AtCM substantially, but AtCM per se needs to be viewed as a separate entity. CONCLUSION: Thus, the present document serves as a clinical consensus statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asian Pacific Heart Rhythm Society (APHRS), and the Latin American Heart Rhythm Society (LAHRS) to contribute to the evolution of the AtCM concept.

Aging is increasingly thought to involve dysregulation of metabolism in multiple organ systems that culminate in decreased functional capacity and morbidity. Here, we seek to understand complex interactions among metabolism, aging, and systems-wide phenotypes across the lifespan. Among 2469 adults (mean age 74.7 years; 38% Black) in the Health, Aging and Body Composition study we identified metabolic cross-sectionally correlates across 20 multi-dimensional aging-related phenotypes spanning seven domains. We used LASSO-PCA and bioinformatic techniques to summarize metabolome-phenome relationships and derive metabolic scores, which were subsequently linked to healthy aging, mortality, and incident outcomes (cardiovascular disease, disability, dementia, and cancer) over 9 years. To clarify the relationship of metabolism in early adulthood to aging, we tested association of these metabolic scores with aging phenotypes/outcomes in 2320 participants (mean age 32.1, 44% Black) of the Coronary Artery Risk Development in Young Adults (CARDIA) study. We observed significant overlap in metabolic correlates across the seven aging domains, specifying pathways of mitochondrial/cellular energetics, host-commensal metabolism, inflammation, and oxidative stress. Across four metabolic scores (body composition, mental-physical performance, muscle strength, and physical activity), we found strong associations with healthy aging and incident outcomes, robust to adjustment for risk factors. Metabolic scores for participants four decades younger in CARDIA were related to incident cardiovascular, metabolic, and neurocognitive performance, as well as long-term cardiovascular disease and mortality over three decades. Conserved metabolic states are strongly related to domain-specific aging and outcomes over the life-course relevant to energetics, host-commensal interactions, and mechanisms of innate immunity.

BackgroundImplementation science scholars have made significant progress identifying factors that enable or obstruct the implementation of evidence-based interventions, and testing strategies that may modify those factors. However, little research sheds light on how or why strategies work, in what contexts, and for whom. Studying implementation mechanisms-the processes responsible for change-is crucial for advancing the field of implementation science and enhancing its value in facilitating equitable policy and practice change. The Agency for Healthcare Research and Quality funded a conference series to achieve two aims: (1) develop a research agenda on implementation mechanisms, and (2) actively disseminate the research agenda to research, policy, and practice audiences. This article presents the resulting research agenda, including priorities and actions to encourage its execution.MethodBuilding on prior concept mapping work, in a semi-structured, 3-day, in-person working meeting, 23 US-based researchers used a modified nominal group process to generate priorities and actions for addressing challenges to studying implementation mechanisms. During each of the three 120-min sessions, small groups responded to the prompt: "What actions need to be taken to move this research forward?" The groups brainstormed actions, which were then shared with the full group and discussed with the support of facilitators trained in structured group processes. Facilitators grouped critical and novel ideas into themes. Attendees voted on six themes they prioritized to discuss in a fourth, 120-min session, during which small groups operationalized prioritized actions. Subsequently, all ideas were collated, combined, and revised for clarity by a subset of the authorship team.ResultsFrom this multistep process, 150 actions emerged across 10 priority areas, which together constitute the research agenda. Actions included discrete activities, projects, or products, and ways to shift how research is conducted to strengthen the study of implementation mechanisms.ConclusionsThis research agenda elevates actions to guide the selection, design, and evaluation of implementation mechanisms. By delineating recommended actions to address the challenges of studying implementation mechanisms, this research agenda facilitates expanding the field of implementation science, beyond studying what works to how and why strategies work, in what contexts, for whom, and with which interventions.

BackgroundAlthough social rejection is among the strongest proximal precipitants of major depressive disorder (MDD), little is known about the underlying neurobiological mechanisms and whether neural sensitivity to social rejection may help explain differences in MDD risk. To address this issue, we tested whether neural responses to social threat differed in female adolescents at high vs. low maternal risk for MDD.MethodFemale adolescents with (high-risk; n = 22, Mage = 14.68) and without (low-risk; n = 30, Mage = 15.07) a maternal history of depression were experimentally exposed to negative and neutral social evaluation while undergoing an fMRI scan. Neural responses were assessed by event-related activity and functional connectivity, as well as multivoxel pattern analysis. Activity and functional connectivity analyses focused on a priori-selected regions of interest implicated in self-referential processing and emotion regulation.ResultsCompared to low-risk female adolescents, high-risk female adolescents exhibited greater increases in self-reported depression and social disconnection following social evaluation. Moreover, compared to low-risk female adolescents, high-risk female adolescents exhibited greater amygdala responses to negative social evaluation and a differential pattern of functional connectivity in brain regions related to emotion regulation, self-referential processing, and negative affect. Additionally, these markers of neural threat reactivity were related to depressive symptoms.LimitationsA cross-sectional study design and relatively small, Western sample.ConclusionsThese results suggest that exaggerated neural reactivity to social threat-and an atypical pattern of related functional connectivity-is evident in individuals with a preclinical risk factor for depression. Targeting such responding may thus be a fruitful strategy for preventing depression in at-risk youth.

The article discusses endocrine disorders in adult patients with inherited metabolic diseases, emphasizing the importance of diagnosis and long-term management. It highlights the prevalence of endocrine complications in patients with inherited metabolic diseases, such as diabetes mellitus, hypogonadism, adrenal insufficiency, and thyroid dysfunction. The study conducted at a tertiary referral center for endocrinology and inherited metabolic diseases reveals the need for specialized care and multidisciplinary approaches to address these complex health issues. The authors stress the significance of early detection, appropriate screening, and tailored management strategies for patients with inherited metabolic diseases and associated endocrine disorders. [Extracted from the article]

Potassium voltage-gated channel subfamily a member 2 (Kv1.2, encoded by KCNA2) is highly expressed in the central and peripheral nervous systems. Based on the patch clamp studies, gain-of function (GOF), loss-of-function (LOF), and a mixed type (GOF/LOF) variants can cause different conditions/disorders. KCNA2-related neurological diseases include epilepsy, intellectual disability (ID), attention deficit/hyperactive disorder (ADHD), autism spectrum disorder (ASD), pain as well as autoimmune and movement disorders. Currently, the molecular mechanisms for the reported variants in causing diverse disorders are unknown. Consequently, this review brings up to date the related information regarding the structure and function of Kv1.2 channel, expression patterns, neuronal localizations, and tetramerization as well as important cell and animal models. In addition, it provides updates on human genetic variants, genotype–phenotype correlations especially highlighting the deep insight into clinical prognosis of KCNA2-related developmental and epileptic encephalopathy, mechanisms, and the potential treatment targets for all KCNA2-related neurological disorders. [ABSTRACT FROM AUTHOR]

A mechanism allocates one unit of an infinitely divisible commodity among agents reporting a number between zero and one. Nash, Pareto optimal Nash, and strong equilibria are analyzed for the case where the agents have single-dipped preferences. One main result is that when the mechanism satisfies anonymity, monotonicity, the zero–one property, and order preservation, then the Pareto optimal Nash and strong equilibria coincide and result in Pareto optimal allocations that are characterized by so-called maximal coalitions: members of a maximal coalition prefer an equal coalition share over obtaining zero, whereas the outside agents prefer zero over obtaining an equal share from joining the coalition. A second main result is an axiomatic characterization of the associated social choice correspondence as the maximal correspondence satisfying minimal envy Pareto optimality, equal division lower bound, and sharing index order preservation. [ABSTRACT FROM AUTHOR]

Main conclusion: PPI analysis deepens our knowledge in critical processes like carbon fixation and nutrient sensing. Moreover, signaling networks, including pathways like MAPK/ERK and TOR, provide valuable information in how microalgae respond to environmental changes and stress. Additionally, species–species interaction networks for microalgae provide a comprehensive understanding of how different species interact within their environments. This review examines recent advancements in the study of biological networks within microalgae, with a focus on the intricate interactions that define these organisms. It emphasizes how network biology, an interdisciplinary field, offers valuable insights into microalgae functions through various methodologies. Crucial approaches, such as protein–protein interaction (PPI) mapping utilizing yeast two-hybrid screening and mass spectrometry, are essential for comprehending cellular processes and optimizing functions, such as photosynthesis and fatty acid biosynthesis. The application of advanced computational methods and information mining has significantly improved PPI analysis, revealing networks involved in critical processes like carbon fixation and nutrient sensing. The review also encompasses transcriptional networks, which play a role in gene regulation and stress responses, as well as metabolic networks represented by genome-scale metabolic models (GEMs), which aid in strain optimization and the prediction of metabolic outcomes. Furthermore, signaling networks, including pathways like MAPK/ERK and TOR, are crucial for understanding how microalgae respond to environmental changes and stress. Additionally, species–species interaction networks for microalgae provide a comprehensive understanding of how different species interact within their environments. The integration of these network biology approaches has deepened our understanding of microalgal interactions, paving the way for more efficient cultivation and new industrial applications. [ABSTRACT FROM AUTHOR]

In the realm of healthcare and the advancing field of medical sciences, the development of efficient drug delivery systems become an immense promise to cure several diseases. Despite considerable advancements in drug delivery systems, numerous challenges persist, necessitating further enhancements to optimize patient outcomes. Smart nano-carriers, for instance, 2D sheets nano-carriers are the recently emerging nanosheets that may garner attention for targeted delivery of bioactive compounds, drugs, and genes to kill cancer cells. Within these advancements, Ti3C2TX-MXene, characterized as a two-dimensional transition metal carbide, has surfaced as a prominent intelligent nanocarrier within nanomedicine. Its noteworthy characteristics facilitated it as an ideal nanocarrier for cancer therapy. In recent advancements in drug delivery research, Ti3C2TX-MXene 2D nanocarriers have been designed to release drugs in response to specific stimuli, guided by distinct physicochemical parameters. This review emphasized the multifaceted role of Ti3C2TX-MXene as a potential carrier for delivering poorly hydrophilic drugs to cancer cells, facilitated by various polymer coatings. Furthermore, beyond drug delivery, this smart nanocarrier demonstrates utility in photoacoustic imaging and photothermal therapy, further highlighting its significant role in cellular mechanisms. [ABSTRACT FROM AUTHOR]

Objectives Method Results Conclusions The trauma and social pathways model of psychosis proposes interactions between trauma, attachment, social rank and dissociation in pathways to psychosis, though this model has yet to be empirically investigated. The primary aim of this study was to examine the overall predictive value of the trauma and social pathways model using regression analysis. A secondary aim was to delineate hypothesized pathways between trauma and positive symptoms of psychosis using serial mediation analysis.This was a cross‐sectional study of people attending mental health services for a psychosis‐related diagnosis (N = 71). Measures of trauma, positive symptoms of psychosis, attachment, social comparison and dissociation were completed.A model of recurrent trauma, insecure attachment, social rank and dissociation predicted 23.2% of the variance in positive symptoms of psychosis. Recurrent trauma, attachment and dissociation contributed significantly to the model, while social rank did not. Further, serial mediation analysis indicated that the sequence of disorganized attachment and dissociation fully mediated the relationship between recurrent trauma and positive symptoms.Results provide preliminary support for the trauma and social pathways model of psychosis, specifically as it relates to recurrent trauma, insecure attachment and dissociation. Results did not support the social rank component of this model, however. These findings provide clear targets for the development of next‐wave psychological interventions that focus on trauma‐related variables in psychosis. Future studies should replicate these findings with a larger clinical sample, and consider a measure of shame to further elucidate social processes in pathways to psychosis. [ABSTRACT FROM AUTHOR]

Global reliance on fossil fuel combustion for energy production has contributed to the rising concentration of atmospheric CO2, creating significant global climate challenges. In this regard, direct air capture (DAC) of CO2 from the atmosphere has emerged as one of the most promising strategies to counteract the harmful effects on the environment, and the further development and commercialization of this technology will play a pivotal role in achieving the goal of net‐zero emissions by 2050. Among various DAC adsorbents, metal–organic frameworks (MOFs) show great potential due to their high porosity and ability to reversibly adsorb CO2 at low concentrations. However, the adsorption efficiency and cost‐effectiveness of these materials must be improved to be widely deployed as DAC sorbents. To that end, this perspective provides a critical discussion on several types of benchmark MOFs that have demonstrated high CO2 capture capacities, including an assessment of their stability, CO2 capture mechanism, capture‐release cycling behavior, and scale‐up synthesis. It then concludes by highlighting limitations that must be addressed for these MOFs to go from the research laboratory to implementation in DAC devices on a global scale so they can effectively mitigate climate change. [ABSTRACT FROM AUTHOR]

Background: Recurrent pregnancy loss (RPL) affects women's reproductive health seriously, with immune dysfunction playing a key role in its cause, yet the exact mechanisms remain elusive. We aim to investigate potential mechanisms and identify biomarkers linked to RPL. Methods: Immune cytokine testing and metabolomic profiling were conducted on the serum of 34 RPL patients and 30 healthy individuals. The metabolic pathways of the differential metabolites were analyzed, and specific metabolites were validated through targeted profiling. Potential biomarkers were identified, and the relationships between immune cytokines and differential metabolites were explored. Results: In the RPL group, serum interleukin-6 and interleukin-10 levels were significantly higher, while interleukin-2 and interferon-g were significantly lower. A total of 296 differential metabolites were detected by untargeted metabolomic profiling between the RPL and control groups, with most linked to amino acid metabolism. Targeted metabolomic profiling of amino acid metabolism revealed upregulation of indole-3-acetic acid, tyrosine, glycine, isoleucine, tryptophan, lysine, aspartic acid, arginine, leucine, threonine, glutamic acid, cystine, and phenylpyruvic acid (PPA) in the RPL group. Moreover, PPA and 5-hydroxy-Ltryptophan showed great potential in predicting RPL in a diagnostic model. Cystine and tyrosine were associated with immune cytokines in correlation analysis. Conclusion: The study highlights the role of amino acid metabolism in RPL pathogenesis, suggesting that PPA and 5-HTP may be potential predictive indicators, while cystine and tyrosine may potentially regulate immune responses related to RPL. Further investigation into the molecular mechanisms underlying these findings could potentially result in the creation of novel diagnostic and therapeutic approaches for RPL. [ABSTRACT FROM AUTHOR]

Since December 2019, coronavirus disease 2019 (COVID-19) has been spreading worldwide with devastating immediate or long-term effects on people's health. Although the lungs are the primary organ affected by COVID-19, individuals infected with SARS-CoV-2 also develop systemic lesions involving multiple organs throughout the body, such as the cardiovascular system. Emerging evidence reveals that COVID-19 could generate myocardial fibrosis, termed "COVID-19-associated myocardial fibrosis." It can result from the activation of fibroblasts via the renin-angiotensin-aldosterone system (RAAS), transforming growth factor-ß1 (TGF-ß1), microRNAs, and other pathways, and can also occur in other cellular interactions with SARS-CoV-2, such as immunocytes, endothelial cells. Nonetheless, to gain a more profound insight into the natural progression of COVID-19-related myocardial fibrosis, additional investigations are necessary. This review delves into the underlying mechanisms contributing to COVID-19-associated myocardial fibrosis while also examining the antifibrotic potential of current COVID-19 treatments, thereby offering guidance for future clinical trials of these medications. Ultimately, we propose future research directions for COVID-19-associated myocardial fibrosis in the post-COVID-19 era, such as artificial intelligence (AI) telemedicine. We also recommend that relevant tests be added to the follow-up of COVID-19 patients to detect myocardial fibrosis promptly. [ABSTRACT FROM AUTHOR]

Due to the heterogeneous nature of depression, the underlying etiological mechanisms greatly differ among individuals, and there are no known subtype-specific biomarkers to serve as precise targets for therapeutic efficacy. The extensive research efforts over the past decades have not yielded much success, and the currently used first-line conventional antidepressants are still ineffective for close to 66% of patients. Most clinicians use trial-and-error treatment approaches, which seem beneficial to only a fraction of patients, with some eventually developing treatment resistance. Here, we review evidence from both preclinical and clinical studies on the pathogenesis of depression and antidepressant treatment response. We also discuss the efficacy of the currently used pharmacological and non-pharmacological approaches, as well as the novel emerging therapies. The review reveals that the underlying mechanisms in the pathogenesis of depression and antidepressant response, are not specific, but rather involve an interplay between various neurotransmitter systems, inflammatory mediators, stress, HPA axis dysregulation, genetics, and other psycho-neurophysiological factors. None of the current depression hypotheses sufficiently accounts for the interactional mechanisms involved in both its etiology and treatment response, which could partly explain the limited success in discovering efficacious antidepressant treatment. Effective management of treatment-resistant depression (TRD) requires targeting several interactional mechanisms, using subtype-specific and/or personalized therapeutic modalities, which could, for example, include multi-target pharmacotherapies in augmentation with psychotherapy and/or other non-pharmacological approaches. Future research guided by interaction mechanisms hypotheses could provide more insights into potential etiologies of TRD, precision biomarker targets, and efficacious therapeutic modalities. [ABSTRACT FROM AUTHOR]

The implementation of adaptation to climate change lags behind necessary adaptation. Implementation of adaptation often takes place at the local level, influenced by local factors and mechanisms producing mainstreamed or standalone adaptation outcomes. Because mainstreaming adaptation is seen as accelerating adaptation, understanding this process is crucial for expediting its implementation. The lack of insight into the influence of context on mainstreaming and its respective outcomes hinders the transfer of lessons between different contexts. To address this gap, we investigate the question “Why do municipal policy processes lead to either standalone or mainstreamed adaptation implementation decisions?” We apply the Multiple Streams Framework to explain local adaptation implementation decisions to compare adaptation in Enschede and Zwolle, two Dutch adaptation frontrunners. We conclude that issue-linking with locally salient issues facilitates adaptation mainstreaming in a case without problem urgency, whereas a focusing event leads to standalone adaptation implementation if crisis-framing is applied. [ABSTRACT FROM AUTHOR]

PurposeMethodsResultsConclusionTo describe the incidence, mechanisms, and clinical characteristics of patients diagnosed with traumatic iritis in a U.S. Midwestern county population.Retrospective population-based cohort of all residents of Olmsted County, Minnesota diagnosed with traumatic iritis from January 1, 2006, to December 31, 2015. The medical records of patients with traumatic iritis were identified using the Rochester Epidemiology Project database, which contains virtually all medical care in the county. Medical records were reviewed for demographics, presentation, and follow-up data. Incidence rates were calculated per 100,000 per year.There were 156 incident diagnoses of traumatic iritis during the 10-year study period, yielding an age- and sex-adjusted incidence rate of 10.7 per 100,000 per year. Traumatic iritis disproportionately occurred in male (p < 0.001) and Black (p < 0.001) patients. The mean age of diagnosis was 33 years (range: 4–96 years), mean number of traumatic iritis-specific follow-up visits was 2.1 (range: 0–26), and median duration of traumatic iritis-specific follow-up was 11 days (range: 1 day-1.6 years). There were 155 (99.4%) patients with unilateral disease. The most frequent mechanisms of traumatic iritis were sports-related (N = 29, 18.6%), assault-related (N = 23, 14.7%), scratch (N = 22, 14.1%), and work-related (N = 21, 13.5%) injuries. The mean initial and final best-corrected visual acuity (BCVA) of the affected eye was 20/40 and 20/30, respectively. Loss of follow-up was more frequently observed in Black patients (p < 0.001) and patients with smoking history (p = 0.004).Traumatic iritis was most frequently observed in younger males and Black patients. Common mechanisms included sports, assault, scratch, and work-related injuries. [ABSTRACT FROM AUTHOR]

Capillary flow-related hydrovoltaic technology is an emerging research field for sustainable electricity generation. Despite great progress in the last decade, the mechanisms behind electricity generation remain unclear. In this review, we provide an overview of the current proposed mechanisms for electricity generation induced by water evaporation and moisture absorption. We explore key mechanisms, including streaming potential, ion concentration gradient, microbial electricity, ionovoltaic effect, pseudo-streaming, evaporating potential, and upstream proton diffusion. Each offers distinct insights and faces specific challenges that require further study. Unlike previous reviews, we focus specifically on the detailed mechanistic understanding of capillary flow-related electricity generation and highlight the interplay of different mechanisms. Additionally, we identify critical gaps in current research, particularly the need for empirical validation through advanced characterization techniques, such as spectroscopy, microscopy, and electrochemical analysis. Moreover, we discuss the practical applications of capillary flow-related hydrovoltaic technology in energy harvesting systems and self-powered sensors, highlighting its potential to convert water evaporation and environmental moisture into sustainable energy. We believe this review can serve as a starting point for further efforts aimed at addressing these challenges, thus paving the way for the commercialization of this technology and its contribution to sustainable development goals. [ABSTRACT FROM AUTHOR]

Objectives: Analyse reported processes of co-design and co-production in the context of health and social care to explore the underlying mechanisms that enable inclusive and reciprocal engagement. Search strategy: Peer review research was obtained from a prior scoping review searching eight databases consisting of all methodologies relevant to co-design or co-production in the context of health and social care services and involving service-users. Methods of selection: Articles were included for synthesis if they reported a process of dialogue, with mutuality, insight and clarification in their engagement process. Ninety-three peer-review articles informed our programme theory development. Analysis: Data relating to co-design and co-production processes were extracted and analysed through inductive, abductive, and deductive analysis leading to the development of an initial programme theory. Main results: This realist synthesis finds that co-design and co-production can occur at different times, in part or all of the research and participatory process. There is an over reliance on the term 'co-design' or 'co-production' to convey complex engagement or participatory processes. We identified six mechanisms (intention, assets, dialogue, documentation, interpretation and understanding). Interaction between these six identified mechanisms in context, even if only brief, is important for supporting meaningful engagement, alignment and agreement within a co-design or co-production process. Implications for practice: The initial programme theory presented in this article provides clarity by identifying essential mechanisms which can guide the design and implementation of a range of participatory approaches. Rather than relying on a single label to convey complex participatory methods or processes, the values and principles of co-design or co-production, in combination with this programme theory, could be applied to guide implementation and reporting of specific activities within a range of research or participatory methods. Patient and public contribution: The initial programme theory was presented and piloted in a series of collaborative workshops between May 2023 and March 2024 with patient and public contributors, health professionals and researchers. This engagement process is currently underway to refine the programme theory and it is anticipated that this next phase will be completed in September 2024. Plain English summary: The aim of this review was to understand what needs to happen for meaningful engagement to take place by exploring how co-design and co-production in health and social care has been reported in published research. Ninety-three research articles were selected as these reported engagement processes with exchanges of mutual insight. Articles which only stated that engagement took place, without reporting details, were excluded. Any information relating to co-design and co-production processes were then extracted and analysed. The findings from this review were that co-design and co-production can occur at different times, in part or all of the research and engagement process. We identified that interaction between six key elements (intention, assets, dialogue, documentation, interpretation and understanding) in context, even if only brief, are important for meaningful engagement to occur within a co-design or co-production process. We also found that there is an over reliance on the term 'co-design' or 'co-production' to convey complex processes for engagement. Rather than relying on a single word to convey such complex methods or processes, the values and principles of co-design or co-production, in combination with the key elements identified, could be applied to guide implementation, and reporting of specific activities within a range of research methods. [ABSTRACT FROM AUTHOR]

Elucidating the speciation (in terms of concentration versus pH) and understanding the formation mechanisms of polyoxometalates remains a significant challenge, both in experimental and computational domains. POMSimulator is a new methodology that tackles this problem from a purely computational perspective. The methodology uses results from quantum mechanics based methods to automatically set up the chemical reaction network, and to build speciation models. As a result, it becomes possible to predict speciation and phase diagrams, as well as to derive new insights into the formation mechanisms of large molecular clusters. In this work we present the main features of the first open‐source version of the software. Since the first report [Chem. Sci. 2020, 11, 8448‐8456], POMSimulator has undergone several improvements to keep up with the growing challenges that were tackled. After four years of research, we recognize that the source code is sufficiently stable to share a polished and user‐friendly version. The Python code, manual, examples, and install instructions can be found at https://github.com/petrusen/pomsimulator. [ABSTRACT FROM AUTHOR]

Hemerocallis citrina Borani is a traditional folk food used to promote the lactation of postpartum mothers in China; however, the active ingredients and corresponding mechanisms are still unknown. In this study, the lactogenic effect of alcoholic and aqueous extracts of H. citrina was primarily evaluated, and the aqueous extract (1,000 and 2,000 mg/kg) displayed significant lactationpromoting effects. Three eluates of the aqueous extract (0%, 30%, and 50%HCW) were further evaluated for their lactogenic effect, and 30% and 50%HCWshowed significant lactation-promoting activity. Nineteen ingredients, including those with a high content of rutin and isoquercetin, were then identified from 30% and 50%HCW using the ultra-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry (UPLC-Q-TOF-MS) method. Finally, the lactogenic effect of rutin and isoquercetin was evaluated, and both compounds displayed significant lactation-promoting activity. The mechanisms relative to the lactation-promoting active ingredients for H. citrina extracts and compounds are to stimulate the release of prolactin (PRL) and progesterone (P), as well as to induce the expression of prolactin receptor (PRLR) and improve the morphology of mammary tissue. This study first clarified the lactation-promoting active ingredients of H. citrina and the corresponding mechanisms, which provide a new insight into the new lactation-promoting drug and promote the high-value utilization of H. citrina resources. [ABSTRACT FROM AUTHOR]

Simple Summary: The SARS-CoV-2 virus that caused COVID-19 devastated families, social structures, and economies worldwide. This pandemic has overwhelmed healthcare systems, increased deaths and disabilities, and triggered a global socio-economic crisis. Although the COVID-19 vaccines were developed rapidly, their effectiveness significantly decreased by the end of 2021 due to mutated viruses evading the immune system. As a result, despite high vaccination rates in industrialized countries, significant outbreaks occurred due to immune evasion associated with viral mutations. Over 300 clinical studies have shown that vitamin D (and ivermectin) are widely available and economical agents that promote immune system function. Proper doses of vitamin D effectively prevent and treat SARS-CoV-2, reducing complications, hospitalizations, and deaths by approximately 50%. Those with vitamin D deficiency fare the worse. SARS-CoV-2 activates the renin-angiotensin system by increasing renin expression, leading to elevated levels of the inflammatogenic and vasoconstrictor peptide angiotensin-II. SARS-CoV-2 viruses cause widespread inflammation, blood clots, and lung damage through multiple mechanisms, leading to impaired tissue oxygenation and death. In addition to enhancing the immune system, vitamin D increases ACE-2 enzyme levels, which breaks down angiotensin-II and reduces SARS-CoV-2-induced inflammation. It also lowers blood pressure and mitigates abnormal clotting. While the virus enters human cells through ACE-2 receptors, excess ACE-2 spills into the bloodstream and neutralizes viruses. This manuscript discusses how vitamin D mitigates the harmful effects of COVID-19. The interaction of the SARS-CoV-2 spike protein with membrane-bound angiotensin-converting enzyme-2 (ACE-2) receptors in epithelial cells facilitates viral entry into human cells. Despite this, ACE-2 exerts significant protective effects against coronaviruses by neutralizing viruses in circulation and mitigating inflammation. While SARS-CoV-2 reduces ACE-2 expression, vitamin D increases it, counteracting the virus's harmful effects. Vitamin D's beneficial actions are mediated through complex molecular mechanisms involving innate and adaptive immune systems. Meanwhile, vitamin D status [25(OH)D concentration] is inversely correlated with severity, complications, and mortality rates from COVID-19. This study explores mechanisms through which vitamin D inhibits SARS-CoV-2 replication, including the suppression of transcription enzymes, reduced inflammation and oxidative stress, and increased expression of neutralizing antibodies and antimicrobial peptides. Both hypovitaminosis D and SARS-CoV-2 elevate renin levels, the rate-limiting step in the renin-angiotensin-aldosterone system (RAS); it increases ACE-1 but reduces ACE-2 expression. This imbalance leads to elevated levels of the pro-inflammatory, pro-coagulatory, and vasoconstricting peptide angiotensin-II (Ang-II), leading to widespread inflammation. It also causes increased membrane permeability, allowing fluid and viruses to infiltrate soft tissues, lungs, and the vascular system. In contrast, sufficient vitamin D levels suppress renin expression, reducing RAS activity, lowering ACE-1, and increasing ACE-2 levels. ACE-2 cleaves Ang-II to generate Ang(1–7), a vasodilatory, anti-inflammatory, and anti-thrombotic peptide that mitigates oxidative stress and counteracts the harmful effects of SARS-CoV-2. Excess ACE-2 molecules spill into the bloodstream as soluble receptors, neutralizing and facilitating the destruction of the virus. These combined mechanisms reduce viral replication, load, and spread. Hence, vitamin D facilitates rapid recovery and minimizes transmission to others. Overall, vitamin D enhances the immune response and counteracts the pathological effects of SARS-CoV-2. Additionally, data suggests that widely used anti-hypertensive agents—angiotensin receptor blockers and ACE inhibitors—may lessen the adverse impacts of SARS-CoV-2, although they are less potent than vitamin D. [ABSTRACT FROM AUTHOR]

Air and bone conduction thresholds are used to differentiate between conductive and sensori-neural hearing losses because bone conduction is thought to bypass the conductive apparatus, directly activating the inner ear. However, the suggested bone conduction mechanisms involve the outer and middle ears. Also, normal bone conduction thresholds have been reported in cases of lesions to the conduction pathway. Therefore, further investigation of bone conduction mechanisms is required. [ABSTRACT FROM AUTHOR]

Osteoarthritis is a form of age-related, non-inflammatory, degenerative joint disease. It is characterized by pain, swelling, and bone hyperplasia; osteoarthritis has a high morbidity and high disability rate, which has a significant impact on the quality of life of patients worldwide. Engaging in sports has been demonstrated to reduce the risk of developing obesity, diabetes mellitus, and other metabolic diseases, additionally, it has been shown to enhance muscle quality, stabilize joints, improve motor coordination abilities, reduce pain, and improve joint function in individuals with osteoarthritis, these findings highlight the potential for sports to play an important role in the management of osteoarthritis. In this review, we presented an overview of the pathogenesis of osteoarthritis, provided a summary of advancements in the utilization of sports in the management of osteoarthritis, and discussed the underlying mechanisms and future application limitations, hoping to provide the foundation for the prevention and treatment of osteoarthritis. [ABSTRACT FROM AUTHOR]

When does a model explain? When does it promote understanding? A dominant approach to scientific explanation is the interventionist view. According to this view, when X explains Y, intervening on X can produce, prevent or alter Y in some predictable way. In this paper, I argue for two claims. First, I reject a position that many interventionist theorists endorse. This position is that to explain some phenomenon by providing a model is also to understand that phenomenon. While endorsing the interventionist view, I argue that explaining and understanding are distinct scientific achievements. Second, I defend a novel theory of scientific understanding. According to this view, when some model M promotes understanding, M makes available a distinctive mental state. This state is of the same psychological kind as when we grasp events in a narrative as bearing on some ultimate conclusion. To conclude, I show that, given this view, mechanistic explanations often provide a powerful source of understanding that many causal-historical models lack. This paper will be of interest to both philosophers of science and epistemologists engaged in the topics of explanation and understanding. [ABSTRACT FROM AUTHOR]

Summary: This narrative review describes the current state of the literature that has examined associations between non‐sexual social touch (i.e., affectionate touch, touch therapies, touch with animals and inanimate objects that mimic social touch) and sleep quality. It also highlights areas for future research to clarify the links and to identify underlying mechanisms. Most existing studies have focussed on and shown positive effects of touch therapies (e.g., massage, therapeutic touch) on sleep quality in clinical populations. Although there are fewer studies examining how other forms of social touch are linked with sleep quality, the existing research provides preliminary evidence supporting affectionate touch (e.g., hugging, skin‐to‐skin contact) and tactile contact with animals (e.g., dogs) and objects that mimic social touch (e.g., robots, weighted blankets) as predictors of better sleep quality, while touch deprivation and touch aversion are associated with worse sleep quality. Informed by the existing literature, we additionally reviewed potential relational‐cognitive (e.g., felt‐security) and neurobiological (e.g., oxytocin) mechanisms likely to underlie associations between social touch and sleep quality. Overall, current research supports associations between non‐sexual social touch and sleep quality. However, future research is needed to establish these links for specific forms of social touch (and in various populations), to test explanatory mechanisms, and to identify boundary conditions. Understanding associations between non‐sexual social touch and sleep quality can inform the development of touch‐based interventions to improve sleep quality and health. [ABSTRACT FROM AUTHOR]

As our population ages, the medical challenges it faces become increasingly acute, with chronic kidney disease (CKD) becoming more prevalent among older adults. Frailty is alarmingly more common in CKD patients than in the general populace, putting the elderly at high risk of both physical and cognitive decline. CKD not only accelerates physical deterioration, but also heightens vascular dysfunction, calcification, arterial rigidity, systemic inflammation, oxidative stress, and cognitive impairment. Cognitive frailty, a distinct syndrome marked by cognitive deficits caused by physiological causes (excluding Alzheimer's and other dementias), is a critical concern. Although cognitive impairment has been well-studied, the molecular mechanisms driving cognitive frailty remain largely uncharted. Comprehensive interventions, including cutting-edge pharmaceuticals and lifestyle changes, are pivotal and effective, especially in the early stages of CKD. Recent research suggests that systematic exercise could counteract cognitive decline by improving brain blood flow, boosting neuroplasticity through the brain-derived neurotrophic factor (BDNF), and by triggering the release of neurotrophic factors such as insulin-like growth factor (IGF-1). This review delves into the molecular pathways of cognitive frailty in CKD, identifies key risk factors, and highlights therapeutic approaches, particularly the potent role of exercise in enhancing cognitive health. [ABSTRACT FROM AUTHOR]

Atrial fibrillation (AF) has been receiving a lot of attention from scientists and clinicians because it is an extremely common clinical condition. Due to its special hemodynamic changes, AF has a high rate of disability and mortality. So far, although AF has some therapeutic means, it is still an incurable disease because of its complex risk factors and pathophysiologic mechanisms, which is a difficult problem for global public health. Age is an important independent risk factor for AF, and the incidence of AF increases with age. To date, there is no comprehensive review on aging‐associated AF. In this review, we systematically discuss the pathophysiologic evidence for aging‐associated AF, and in particular explore the pathophysiologic mechanisms of mitochondrial dysfunction, telomere attrition, cellular senescence, disabled macroautophagy, and gut dysbiosis involved in recent studies with aging‐associated AF. We hope that by exploring the various dimensions of aging‐associated AF, we can better understand the specific relationship between age and AF, which may be crucial for innovative treatments of aging‐associated AF. [ABSTRACT FROM AUTHOR]

Elevation‐dependent warming (EDW) has been a topic of intense debate due to limited observed data in global highland areas. This study aims to fill this gap by utilizing CRU and ERA5 datasets from 1981 to 2021 to explore the trends of climate change and its elevation dependency. The anomalies of temperature indicators (Tmean, Tmax, and Tmin) in both ERA5 and CRU showed significant warming trends over global highlands. Moreover, the response of temperature indicators to elevation across global highlands is not spatially uniform. The linear regression model based on the elevation showed significant warming signals for the temperature indicators at various elevations over the global highlands. On a regional scale, Tmean and Tmax predominantly showed linear EDW over EU highlands, while Tmean in Asian highlands exhibited EDW signals at 4–5 km. Tmin showed EDW at 2.5–5.5 km with ERA5 and 3–5 km with CRU. In the Andes, EDW was prominent at 2.5–4 km. Overall, EDW signals are evident in all studied regions but vary across them. While assessing the driving factors, the results of this study indicate that total column water vapour (TCWV), snow depth (SD), snow albedo, and normalized difference vegetation index (NDVI) correlated positively with the temperature indicators. These findings emphasize the significance of elevation‐specific interactions between environmental factors and temperature in forecasting temperature changes in mountainous areas. Additionally, temperature exhibited coherence with teleconnection indices from the Atlantic and Pacific Oceans. Asian and European (EU) highlands exhibited interzonal coherence with the Pacific and Atlantic Oceans, while North American (NA) highlands showed coherence, followed by South American (SA) highlands. These findings provide a comprehensive understanding of EDW and its implications for highland regions globally, including the potential for more severe depletion of snow/ice resources in a warmer future. [ABSTRACT FROM AUTHOR]

Background: There is growing interest in the benefits of group models of antenatal care. Although clinical reviews exist, there have been few reviews that focus on the mechanisms of effect of this model. Methods: We conducted a realist review using a systematic approach incorporating all data types (including non-research and audiovisual media), with synthesis along Context-Intervention-Mechanism-Outcome (CIMO) configurations. Results: A wide range of sources were identified, yielding 100 relevant sources in total (89 written and 11 audiovisual). Overall, there was no clear pattern of 'what works for whom, in what circumstances' although some studies have identified clinical benefits for those with more vulnerability or who are typically underserved by standard care. Findings revealed six interlinking mechanisms, including: social support, peer learning, active participation in health, health education and satisfaction or engagement with care. A further, relatively under-developed theory related to impact on professional practice. An overarching mechanism of empowerment featured across most studies but there was variation in how this was collectively or individually conceptualised and applied. Conclusions: Mechanisms of effect are amplified in contexts where inequalities in access and delivery of care exist, but poor reporting of populations and contexts limited fuller exploration. We recommend future studies provide detailed descriptions of the population groups involved and that they give full consideration to theoretical underpinnings and contextual factors. Registration: The protocol for this realist review was registered in the International Prospective Register of Systematic Reviews (PROSPERO CRD42016036768). [ABSTRACT FROM AUTHOR]

Advancements in understanding skin aging mechanisms, which encompass both external and internal aging processes, have spurred the development of innovative treatments primarily aimed at improving cosmetic appearance. These findings offer the potential for the development of novel therapeutic strategies aimed at achieving long-term, non-therapy-dependent clinical benefits, including the reversal of aging and the mitigation of associated health conditions. Realizing this goal requires further research to establish the safety and efficacy of targeting aging-related skin changes, such as pigmentation, wrinkling, and collagen loss. Systematic investigation is needed to identify the most effective interventions and determine optimal anti-aging treatment strategies. These reviews highlight the features and possible mechanisms of skin aging, as well as the latest progress and future direction of skin aging research, to provide a theoretical basis for new practical anti-skin aging strategies. [Display omitted] • Skin aging is not only affected by genetic, and chronological but also by extrinsic (environmental). • Possible mechanisms and potential targets for aging-related skin changes were reported. • The latest progress and future development direction of skin aging research were conclusions. • The theoretical basis for new practical anti-skin aging strategies was provided. [ABSTRACT FROM AUTHOR]

Bacterial antibiotic resistance has been recognized as a global threat to public health. It challenges the antibiotics currently used in clinical practice and causes severe and often fatal infectious diseases. Fighting against antibiotic-resistant bacteria (ARB) is growing more urgent. While understanding the molecular mechanisms that underlie resistance is a prerequisite, several major mechanisms have been previously proposed including bacterial efflux systems, reduced cell membrane permeability, antibiotic inactivation by enzymes, target modification, and target protection. In this context, this review presents a panel of promising and potential strategies to combat antibiotic resistance/resistant bacteria. Different types of direct-acting and indirect resistance breakers, such as efflux pump inhibitors, antibiotic adjuvants, and oxidative treatments are discussed. In addition, the emerging multi-omics approaches for rapid resistance identification and promising alternatives to existing antibiotics are highlighted. Overall, this review suggests that continued effort and investment in research are required to develop new antibiotics and alternatives to existing antibiotics and translate them into environmental and clinical applications. [ABSTRACT FROM AUTHOR]

Chlorine dioxide (ClO2) is a strong oxidizing agent and an efficient disinfectant. Due to its broad-spectrum bactericidal properties, good inactivation effect on the vast majority of bacteria and pathogenic microorganisms, low resistance to drugs, and low generation of halogenated by-products, chlorine dioxide is widely used in fields such as water purification, food safety, medical and public health, and living environment. This review introduced the properties and application status of chlorine dioxide, compared the action mode, advantages and disadvantages of various disinfectants. The mechanism of chlorine dioxide inactivating bacteria, fungi and viruses were reviewed. The lethal target of chlorine dioxide to bacteria and fungi is to destroy the structure of cell membrane, change the permeability of cell membrane, and make intracellular substances flow out, leading to their death. The lethal targets for viruses are the destruction of viral protein capsids and the degradation of RNA fragments. The purpose of this review is to provide more scientific guidance for the application of chlorine dioxide disinfectants. [ABSTRACT FROM AUTHOR]

Companies are looking for opportunities from digital technologies focused on transforming their operations and customer value proposition. IoT solution is a way to develop new services and business models (BM). Literature highlights that research is necessary to discover empirical patterns and tools for understanding and managing digital Innovation adopted by companies. Thus, this study aims to explore how organisations move into an Internet of things (IoT) environment by structuring new business models and offering innovative and sustainable services identifying mechanisms for deploying IoT BM. This research uses a multiple case study approach with three manufacturing organisations. The contribution of this study is the identification of mechanisms applied for developing an IoT business model. Companies altering model operations and reshaping customer value propositions for building new business models are facilitated by digital transformation. The findings provide mechanisms identified across cases: collaboration via strategic partnerships, incubator companies, acquisition of the startup, exchange knowledge/employee training, Co-innovation: interactions between actors to develop platforms and partnership with Technology Parks. [ABSTRACT FROM AUTHOR]

In grinding, the applied metal working fluid plays a decisive role in terms of minimizing (i) process energy consumption and (ii) thermal impact on surface and subsurface of the workpiece owing to lubrication and cooling effect of the fluid. For microbial-based metalworking fluids (MWFs), the presence of bacterial cells has been shown to be beneficial for MWF performance in grinding. The interaction of the cell bodies with other components of MWFs and their influence on the performance in grinding operations has not been investigated so far due to the difficulty of ensuring defined boundary conditions. As a novel approach, the present work investigates the individual influence of the presence of cell analogues and other MWF properties on the performance of water-based MWF in surface grinding of ball bearing steel. The evaluation is based on the specific material removal rate, which, when exceeded in the process, results in the onset of white layer formation. It has been shown that the physical presence of bacterial cells and extracellular polymeric substances have positive effects, while droplet size has only a minor influence on MWF performance. [ABSTRACT FROM AUTHOR]

Background/Objectives: Metabolomics provides insights into the biological underpinnings of disease development and treatment. This systematic review investigated the impact of acupuncture on metabolite levels and associated metabolic pathways using a metabolomic approach. Methods: Five databases (i.e., PubMed, Embase, Scopus, CINAHL, and Cochrane Central) were searched using terms such as "acupuncture" and "metabolites" to retrieve relevant journal articles published through January 2024. Studies utilizing mass spectrometry or nuclear magnetic resonance were included. Risk of bias was evaluated using the Cochrane Risk of Bias tool and the Newcastle–Ottawa scale. Metabolic pathway analysis was conducted using MetaboAnalyst 6.0 to identify common significant pathways affected by acupuncture. Additionally, subgroup pathway enrichment analysis identified metabolites significantly altered in more than two studies. Results: Among 4019 articles, 22 studies met inclusion criteria, examining changes in metabolomic biomarkers before and after acupuncture for various diseases and symptoms. A total of 226 metabolites showed significant changes, with 14 common metabolites altered in more than two studies (glutamine, androsterone glucuronide, choline, citric acid, decanoylcarnitine, estrone, glutathione, glycine, hypoxanthine, lactic acid, pyruvic acid, serine, proline, and sn-glycero-3-phosphocholine). Common pathways affected by acupuncture were glycine, serine, and threonine metabolism, glutathione metabolism, arginine biosynthesis, and glyoxylate and dicarboxylate metabolism. Conclusions: This review provides insights of the metabolomic mechanisms underlying acupuncture, highlighting its impact on specific metabolic pathways. Recognizing these changes can enhance acupuncture's effectiveness and support the development of personalized treatments. The findings underscore metabolomics as a valuable tool for understanding and optimizing acupuncture for various diseases and symptoms. [ABSTRACT FROM AUTHOR]

Background: Aluminum adjuvants, renowned for their safety and efficacy, act as excellent adsorbents and vaccine immunogen enhancers, significantly contributing to innate, endogenous, and humoral immunity. An ideal adjuvant not only boosts the immune response but also ensures optimal protective immunity. Aluminum adjuvants are the most widely used vaccine adjuvants and have played a crucial role in both the prevention of existing diseases and the development of new vaccines. With the increasing emergence of new vaccines, traditional immune adjuvants are continually being researched and upgraded. The future of vaccine development lies in the exploration and integration of novel adjuvant technologies that surpass the capabilities of traditional aluminum adjuvants. One promising direction is the incorporation of nanoparticles, which offer precise delivery and controlled release of antigens, thereby enhancing the overall immune response. Conclusions: This review summarizes the types, mechanisms, manufacturers, patents, advantages, disadvantages, and future prospects of aluminum adjuvants. Although aluminum adjuvants have certain limitations, their contribution to enhancing vaccine immunity is significant and cannot be ignored. Future research should continue to explore their mechanisms of action and address potential adverse reactions to achieve improved vaccine efficacy. [ABSTRACT FROM AUTHOR]

Background/Objectives: The current Bordetella bronchiseptica (Bb) vaccine, when adjuvanted with alum, does not elicit adequate robust cellular immunity or effective antibody defense against Bb attacks. Unfortunately, antibiotic treatment generally represents an ineffective strategy due to the development of resistance against a broad range of antibiotics. Methods: The present study was designed to investigate the immune response, protective capabilities and underlying mechanisms of a plant oil-based adjuvant E515 formulated with inactivated Bb antigen as a potential vaccine candidate against Bordetella bronchiseptica. Results: Immunization studies revealed that a combination of SO, VE and GS (E515) exhibited a good synergistic adjuvant effect. The E515 adjuvanted Bb vaccine was proven to be highly efficacious and induced a mixed Th1/Th2/Th17 immune response in mice, leading to a significant increase in Bb-specific IgG, IgG1 and IgG2a antibodies, proliferative lymphocyte responses and cytokine levels (by lymphocytes and serum) and effectively induced responses by CD4+ TE, TM cells and B cells. The E515 adjuvant significantly enhanced the immune protection provided by the Bb vaccine in a mice model, as indicated by a reduced bacterial burden in the lungs. Multi-omics sequencing analysis revealed that E515 functions as an adjuvant by modulating critical pathways, including cytokine–cytokine receptor interaction, the IL-17 signaling pathway and the chemokine signaling pathway. This modulation also included interactions with beneficial species of bacteria including Alistipes, Odoribacter and Colidextribacter, as well as energy and lipid-related metabolites, thus highlighting its role as an immunomodulatory agent. Conclusion: Collectively, our results demonstrate the huge potential of E515-Bb vaccine candidates, thus highlighting the vegetable oil original adjuvant E515 as a promising agent for the development of new veterinary vaccines. [ABSTRACT FROM AUTHOR]

Irritable bowel syndrome (IBS) is a condition that significantly impacts the lifestyle, health, and habits of numerous individuals worldwide. Its diagnosis and classification are based on the Rome criteria, updated periodically to reflect new research findings in this field. IBS can be classified into different types based on symptoms, each with distinct treatment approaches and some differences in their pathophysiology. The exact pathological background of IBS remains unclear, with many aspects still unknown. Recent research developments suggest that disorders in the brain-gut–microbiota axis are key contributors to the symptoms and severity of IBS. The central nervous system (CNS) interacts bidirectionally with intestinal processes within the lumen and the intestinal wall, with the autonomic nervous system, particularly the vagus nerve, playing an important role. However, the enteric nervous system (ENS) is also crucial in the pathophysiological pathway of IBS. The apeline–corticotropin-releasing factor (CRF)–toll-like receptor 4 (TLR4) signaling route via enteric glia and serotonin production in enteroendocrine cells at the enteric barrier are among the most well-understood new findings that affect IBS through the ENS. Additionally, the microbiota regulates neuronal signals, modifying enteric function by altering the number of enteric bacteria and other mechanisms. Given the limited therapeutic options currently available, it is essential to identify new treatment targets, with the brain-gut axis, particularly the enteric nervous system, being a promising focus. This study aims to delineate the molecular mechanisms that induce IBS and to suggest potential targets for future research and treatment of this potentially debilitating disease. [ABSTRACT FROM AUTHOR]

Engineered nanomaterials (ENMs) have a broad array of applications in agriculture, engineering, manufacturing, and medicine. Decades of toxicology research have demonstrated that ENMs can cause genotoxic effects on bacteria, mammalian cells, and animals. Some metallic ENMs (MENMs), e.g., metal or metal oxide nanoparticles TiO2 and CuO, induce genotoxicity via direct DNA damage and/or reactive oxygen species-mediated indirect DNA damage. There are various physical features of MENMs that may play an important role in promoting their genotoxicity, for example, size and chemical composition. For a valid genotoxicity assessment of MENMs, general considerations should be given to various factors, including, but not limited to, NM characterization, sample preparation, dosing selection, NM cellular uptake, and metabolic activation. The recommended in vitro genotoxicity assays of MENMs include hprt gene mutation assay, chromosomal aberration assay, and micronucleus assay. However, there are still knowledge gaps in understanding the mechanisms underlying the genotoxicity of MENMs. There are also a variety of challenges in the utilization and interpretation of the genotoxicity assessment assays of MENMs. In this review article, we provide mechanistic insights into the genotoxicity of MENMs in the human environment. We review advances in applying new endpoints, biomarkers, and methods to the genotoxicity assessments of MENMs. The guidance of the United States, the United Kingdom, and the European Union on the genotoxicity assessments of MENMs is also discussed. [ABSTRACT FROM AUTHOR]

Constructing heterostructure is a promising strategy to enhance photocatalytic performance. Here, a cyano and carbon dots/polypyrrole (CDs/PPy) co‐modified carbon nitride (CPKCN) heterostructure is constructed for photocatalytic H2O2 generation. It is interestingly found that the intermediates formed during the oxidation polymerization of pyrrole can be the potential electron trapping sites and reactive sites. In addition, the localized photoheat produced by CDs/PPy also plays an active role in improving photocatalytic activity. Moreover, the addition of CDs/PPy leads to a higher negative zeta potential of CPKCN, which is favorable for the attraction of the sample surface to H+. These features, plus the positive effect of cyano groups, collectively boost the charge transfer and improve the selectivity of two‐electron O2 reduction. Therefore, the enhanced photocatalytic H2O2 generation performance of the developed CPKCN is achieved, with an H2O2 generation rate of 3.7 mmol g−1 h−1 under visible light in a 10 vol% isopropanol (IPA) aqueous solution, and with the apparent quantum yield of 16.7% at 420 nm and the solar‐to‐chemical conversion efficiency of 0.34%. The work offers new insights into developing efficient photocatalysts for various applications. [ABSTRACT FROM AUTHOR]

Radiation‐induced tissue injury (RITI) is the most common complication in clinical tumor radiotherapy. Due to the heterogeneity in the response of different tissues to radiation (IR), radiotherapy will cause different types and degrees of RITI, which greatly limits the clinical application of radiotherapy. Efforts are continuously ongoing to elucidate the molecular mechanism of RITI and develop corresponding prevention and treatment drugs for RITI. Single‐cell sequencing (Sc‐seq) has emerged as a powerful tool in uncovering the molecular mechanisms of RITI and for identifying potential prevention targets by enhancing our understanding of the complex intercellular relationships, facilitating the identification of novel cell phenotypes, and allowing for the assessment of cell heterogeneity and spatiotemporal developmental trajectories. Based on a comprehensive review of the molecular mechanisms of RITI, we analyzed the molecular mechanisms and regulatory networks of different types of RITI in combination with Sc‐seq and summarized the targeted intervention pathways and therapeutic drugs for RITI. Deciphering the diverse mechanisms underlying RITI can shed light on its pathogenesis and unveil new therapeutic avenues to potentially facilitate the repair or regeneration of currently irreversible RITI. Furthermore, we discuss how personalized therapeutic strategies based on Sc‐seq offer clinical promise in mitigating RITI. [ABSTRACT FROM AUTHOR]

In order to achieve a full mechanistic understanding of stress corrosion cracking (SCC), the key operating mechanisms need to be identified but also quantified. In this study, we summarize and rationalize key findings from the last 15 years of high-resolution characterization of SCC in our group. A comprehensive characterization of a set of austenitic alloys with different Ni content and constant Cr level, tested under simulated pressurized water reactor (PWR) primary water conditions at various temperatures, has revealed evidence for at least two operating mechanisms: one diffusion-related and the other deformation-related. For their relevance to the nuclear industry, two additional alloys with increased Cr content were also studied (A800 and A690). Key precursors for SCC initiation and propagation are identified and their effect on alloy degradation discussed. A list of key materials' properties that ensure low SCC susceptibility is proposed. [ABSTRACT FROM AUTHOR]

Acute myocardial infarction (AMI), characterized by high incidence and mortality rates, poses a significant public health threat. Reperfusion therapy, though the preferred treatment for AMI, often exacerbates cardiac damage, leading to myocardial ischemia/reperfusion injury (MI/RI). Consequently, the development of strategies to reduce MI/RI is an urgent priority in cardiovascular therapy. Chinese medicine, recognized for its multi-component, multi-pathway, and multi-target capabilities, provides a novel approach for alleviating MI/RI. A key area of interest is the nuclear factor E2-related factor 2 (Nrf2)/heme oxygenase-1 (HO-1) pathway. This pathway is instrumental in regulating inflammatory responses, oxidative stress, apoptosis, endoplasmic reticulum stress, and ferroptosis in MI/RI. This paper presents a comprehensive overview of the Nrf2/HO-1 signaling pathway's structure and its influence on MI/RI. Additionally, it reviews the latest research on leveraging Chinese medicine to modulate the Nrf2/HO-1 pathway in MI/RI treatment. [ABSTRACT FROM AUTHOR]

Long COVID, also known as post-acute sequelae of SARS-CoV-2 infection, refers to a condition where individuals continue to experience a range of symptoms weeks to months after the acute phase of COVID-19 has resolved. While respiratory symptoms are commonly associated with COVID-19, emerging evidence suggests that neurological manifestations play a significant role in the long-term effects of the disease. This article explores the neurological basis of long COVID, delving into the various symptoms, pathophysiological mechanisms, impact on cognitive function, neuroimaging findings, current treatment approaches, long-term prognosis, and future research directions in understanding and managing the neurological sequelae of long COVID. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) ranks as the second leading cause of cancer-related deaths globally, trailing only behind lung cancer, and stands as the third most prevalent malignant tumor, following lung and breast cancers. The primary cause of mortality in colorectal cancer (CRC) stems from distant metastasis. Among the various routes of metastasis in CRC, lymph node metastasis predominates, serving as a pivotal factor in both prognostication and treatment decisions for patients. This intricate cascade of events involves multifaceted molecular mechanisms, highlighting the complexity underlying lymph node metastasis in CRC. The cytokines or proteins involved in lymph node metastasis may represent the most promising lymph node metastasis markers for clinical use. In this review, we aimto consolidate the current understanding of the mechanisms and pathophysiology underlying lymph node metastasis in colorectal cancer (CRC), drawing upon insights from the most recent literatures. We also provide an overview of the latest advancements in comprehending the molecular underpinnings of lymph node metastasis in CRC, along with the potential of innovative targeted therapies. These advancements hold promise for enhancing the prognosis of CRC patients by addressing the challenges posed by lymph node metastasis. [ABSTRACT FROM AUTHOR]

Introduction Methods Results Conclusion PLAIN LANGUAGE SUMMARY Coaching is proposed as a core enabling skill of occupational therapy and increasingly suggested for a diverse range of health populations. In recent years, research on coaching has proliferated, emerging from within and outside of occupational therapy. Yet, concern has been raised about the absence of theoretical underpinning and diversity of descriptions of coaching in occupational therapy, as well as low‐quality evidence supporting its effectiveness. The aim of this study is to map the use of coaching by occupational therapists from 2007 to 2022 to identify the populations, settings and outcomes it is applied to, differences between coaching interventions and evidence supporting its use.This systematic scoping review applied Arksey and O'Malley's five‐stage methodological framework with further methodological direction using the Levac framework. There was no consumer involvement in undertaking this review.Findings from 60 research publications on coaching indicate its use with populations across the lifespan in primarily community settings to improve occupational performance, participation and self‐efficacy. A wide range of coaching interventions are designed or used by occupational therapists, with Occupational Performance Coaching being the most researched (16/27, 59% of named interventions). Common elements of coaching interventions included collaborative goal setting and problem‐solving; however, a lack of described theory or coaching methods persists. High‐quality study designs indicate its effectiveness; however, an absence of fidelity definition or monitoring limits interpretation of many studies.The language of coaching is becoming common practice within occupational therapy, and evidence indicates effectiveness of some coaching interventions. Advances in coaching research and use by occupational therapists will be aided by an explicit statement of the theoretical basis for coaching interventions, with congruent coaching methods, mechanisms and outcomes stated.This scoping review maps the use of coaching by occupational therapists in current published research. Key aspects of coaching examined include how coaching is defined, who it is used with and how effective it is. The kinds of outcomes that coaching is intended to improve are also reported. From 633 publications, 60 research publications were fully analysed. The use of coaching by occupational therapists has grown rapidly over the past 10 years. Strong evidence of its effectiveness exists for achieving the personal goals of people receiving occupational therapy when goals describe changes in everyday life activities. Coaching is being used with people across the lifespan with a variety of disabilities and chronic conditions and their caregivers/parents, most commonly parents of children with developmental issues. The key features of coaching interventions used by occupational therapists include collaborative goal setting, shared problem‐solving and client‐led action planning. Some elements of coaching are also used within other interventions with a wider range of methods. Coaching is believed to work by supporting an individual's self‐belief that they can make changes. Theories that underpin coaching vary but commonly focus on self‐determination, behaviour change and occupational therapy theory. However, many of the coaching interventions do not describe any theoretical basis nor coaching methods in detail. Future research on coaching in occupational therapy should ensure a clear explanation of the theory that underpins it, coaching methods and monitoring of how well coaching is applied. [ABSTRACT FROM AUTHOR]

Background: Internet gaming disorder (IGD), recognized by the World Health Organization (WHO), significantly impacts adolescent mental and physical health. With a global prevalence of 3.05%, rates are higher in Asia, especially among adolescents and males. The COVID-19 pandemic has exacerbated IGD due to increased gaming time from isolation and anxiety. Vulnerable groups include adolescents with poor academic performance, introverted personalities, and comorbid mental disorders. IGD mechanisms remain unclear, lacking prospective research. Based on Skinner's reinforcement theory, the purpose of this study is to explore the mechanisms of IGD from individual and environmental perspectives, incorporating age-related changes and game features, and to develop intelligent monitoring models for early intervention in high-risk adolescents. Methods: This prospective cohort study will investigate IGD mechanisms in middle and high school students in Shenzhen, China. Data will be collected via online surveys and Python-based web scraping, with a 3-year follow-up and assessments every 6 months. Unstructured data obtained through Python-based web scraping will be structured using natural language processing techniques. Collected data will include personal characteristics, gaming usage, academic experiences, and psycho-behavioral-social factors. Baseline data will train and test predictive models, while follow-up data will validate them. Data preprocessing, normalization, and analysis will be performed. Predictive models, including Cox proportional hazards and Weibull regression, will be evaluated through cross-validation, confusion matrix, receiver operating characteristic (ROC) curve, area under the curve (AUC), and root mean square error (RMSE). Discussion: The study aims to understand the interplay between individual and environmental factors in IGD, incorporating age-related changes and game features. Active monitoring and early intervention are critical for preventing IGD. Despite limitations in geographic scope and biological data collection, the study's innovative design and methodologies offer valuable contributions to public health, promoting effective interventions for high-risk individuals. [ABSTRACT FROM AUTHOR]

Background: Opinion leadership, educational outreach visiting, and innovation championing are commonly used strategies to address barriers to implementing innovations and evidence-based practices in healthcare settings. Despite voluminous research, ambiguities persist in how these strategies work and under what conditions they work well, work poorly, or work at all. The current paper develops middle-range theories to address this gap. Methods: Conceptual articles, systematic reviews, and empirical studies informed the development of causal pathway diagrams (CPDs). CPDs are visualization tools for depicting and theorizing about the causal process through which strategies operate, including the mechanisms they activate, the barriers they address, and the proximal and distal outcomes they produce. CPDs also clarify the contextual conditions (i.e., preconditions and moderators) that influence whether, and to what extent, the strategy's causal process unfolds successfully. Expert panels of implementation scientists and health professionals rated the plausibility of these preliminary CPDs and offered comments and suggestions on them. Findings: Theoretically, opinion leadership addresses potential adopters' uncertainty about likely consequences of innovation use (determinant) by promoting positive attitude formation about the innovation (mechanism), which results in an adoption decision (proximal outcome), which leads to innovation use (intermediate outcome). As this causal process repeats, penetration, or spread of innovation use, occurs (distal outcome). Educational outreach visiting addresses knowledge barriers, attitudinal barriers, and behavioral barriers (determinants) by promoting critical thinking and reflection about evidence and practice (mechanism), which results in behavioral intention (proximal outcome), behavior change (intermediate outcome), and fidelity, or guideline adherence (distal outcome). Innovation championing addresses organizational inertia, indifference, and resistance (determinants) by promoting buy-in to the vision, fostering a positive implementation climate, and increasing collective efficacy (mechanisms), which leads to participation in implementation activities (proximal outcome), initial use of the innovation with increasing skill (intermediate outcome) and, ultimately, greater penetration and fidelity (distal outcomes). Experts found the preliminary CPDs plausible or highly plausible and suggested additional mechanisms, moderators, and preconditions, which were used to amend the initial CPD. Discussion: The middle-range theories depicted in the CPDs furnish testable propositions for implementation research and offer guidance for selecting, designing, and evaluating these social influence implementation strategies in both research studies and practice settings. [ABSTRACT FROM AUTHOR]

Models of heat transport in solids, being based on idealized elastic collisions of gas molecules, are flawed because heat and mass diffuse independently in solids but together in gas. To better understand heat transfer, an analytical, theoretical approach is combined with data from laser flash analysis, which is the most accurate method available. Dimensional analysis of Fourier's heat equation shows that thermal diffusivity (D) depends on length-scale, which has been confirmed experimentally for metallic, semiconducting, and electrically insulating solids. A radiative diffusion model reproduces measured thermal conductivity (K = DρcP = D × density × specific heat) for thick solids from ~0 to >1200 K using idealized spectra represented by 2–4 parameters. Heat diffusion at laboratory temperatures (conduction) proceeds by absorption and re-emission of infrared light, which explains why heat flows into, through, and out of a material. Because heat added to matter performs work, thermal expansivity is proportional to ρcP/Young's modulus (i.e., rigidity or strength), which is confirmed experimentally over wide temperature ranges. Greater uptake of applied heat (e.g., cP generally increasing with T or at certain phase transitions) reduces the amount of heat that can flow through the solid, but because K = DρcP, the rate (D) must decrease to compensate. Laser flash analysis data confirm this proposal. Transport properties thus depend on heat uptake, which is controlled by the interaction of light with the material under the conditions of interest. This new finding supports a radiative diffusion mechanism for heat transport and explains behavior from ~0 K to above melting. [ABSTRACT FROM AUTHOR]