Multiple Facets Research Articles

The public and private mix in the production of childcare: a case study of 21st century South Korea

Purpose The aim of this study is to demonstrate the usefulness of the “publicness” and “privateness” concepts in examining childcare policy reforms. Understanding them as having multiple facets, this paper challenges the way in which childcare-going-public is often simply assessed based on the coverage of publicly-funded childcare services. Instead, it highlights that the process should be more thoroughly examined by considering who pays for whom to provide childcare, where it takes place, how it is regulated, and what kinds of normative ideals it works towards.Design/methodology/approach The research design is two-fold. Firstly, it coins the concepts of “publicness” and “privateness” based on existing literature on welfare pluralism and public administration. It then unpacks the key facets constituting this conceptual twin within the childcare context, which are utilised to craft four models of childcare production. Secondly, this framework is analytically applied to explore 21st-century South Korea to track the changes and continuities in its childcare production models across four governments.Findings The analysis shows that while South Korea's childcare publicness increased in terms of funding, its privateness was bolstered in regard to the location of childcare, the way that publicly-funded childcare services were regulated and delivered, and the manner in which childcare was partially consolidated as a familial responsibility.Originality/value This paper proposes a new conceptual framework to analyse the complex and multi-layered process of how childcare goes public, which is analytically applied to a cross-governmental comparative study of South Korea.

Water Quality Impact on Fish Behavior: A Review From an Aquaculture Perspective

ABSTRACTChanges in water quality significantly shape fish behavior, a crucial index reflecting the growth and welfare status of fish. Given the centrality of this relationship to aquaculture practices, a comprehensive understanding of how water quality dynamics influence fish behavior is imperative. While there have been some summaries of the effects of water quality parameters on fish physiology and growth, few reviews on their effects on fish behavior have been reported yet. This article reviews several water quality parameters which are of great concern in aquaculture from multiple facets of actual production, including physical parameters (water temperature and turbidity), chemical parameters (dissolved oxygen, salinity, pH, and inorganic nitrogen), and chemical pollutants (microplastics and crude oil), which have gained increasing attention from the researchers and aquaculture practitioners over the past decades. Variations in these water quality parameters can exert profound effects on fish physiology, metabolism, internal tissues and organs, and sensory perception, which influences fish behaviors such as swimming, schooling, feeding, predation, anti‐predation, aggression, courtship, as well as adaptive and stress‐related behaviors such as exploration, avoidance response, and anxiety‐like behavior. By synthesizing the behavioral changes caused by specific water quality parameters, this review aims to provide strong support for further water quality‐related research, thereby fostering environments conducive to both fish welfare and aquaculture productivity.

Use and Cost Patterns of Antihypertensive Medications in the United States From 1996 to 2021.

Antihypertensive medication use patterns have likely been influenced by changing costs and accessibility over the past 3 decades. This study examines the relationships between patent exclusivity loss, medication costs, and national health policies on antihypertensive medication use. Using 1996 to 2021 Medical Expenditure Panel Survey data of US adults with hypertension taking at least 1 antihypertensive medication, we conducted a cross-sectional analysis. We explored the associations between patent exclusivity loss, per-pill costs, and Medicare Part D enactment on medication use over time, focusing on the most commonly used medications (lisinopril, amlodipine, losartan, hydrochlorothiazide, and metoprolol). The unweighted sample comprised 50 095 US adults (mean age, 62 years; 53% female). The survey-weighted number of adults taking antihypertensive medications increased from 22 million (95% CIs, 20-23 million) to 55 million (95% CI, 51-60 million) between 1996 and 2021. Loss of patent exclusivity led to increased medication fills, notably for lisinopril, amlodipine, and losartan, which all exhibited within-class dominance. However, per-pill cost decreases coinciding with Medicare Part D did not increase the number of individuals treated or the use of specific antihypertensive medications or classes. The increase in antihypertensive medication use over the past decades highlights the significant impact of loss of patent exclusivity on the uptake in the use of specific medications. These findings underscore the complexity of factors influencing medication use, beyond cost reductions alone, and suggest that policies need to consider multiple facets to effectively improve antihypertensive medication accessibility and utilization.

Artificial intelligence applications in ophthalmic surgery.

Technologies in healthcare incorporating artificial intelligence tools are experiencing rapid growth in static-image-based applications such as diagnostic imaging. Given the proliferation of artificial intelligence (AI)-technologies created for video-based imaging, ophthalmic microsurgery is likely to experience significant benefits from the application of emerging technologies to multiple facets of the care of the surgical patient. Proof-of-concept research and early phase clinical trials are in progress for AI-based surgical technologies that aim to provide preoperative planning and decision support, intraoperative image enhancement, surgical guidance, surgical decision-making support, tactical assistive technologies, enhanced surgical training and assessment of trainee progress, and semi-autonomous tool control or autonomous elements of surgical procedures. The proliferation of AI-based technologies in static imaging in clinical ophthalmology, continued refinement of AI tools designed for video-based applications, and development of AI-based digital tools in allied surgical fields suggest that ophthalmic surgery is poised for the integration of AI into our microsurgical paradigm.

The multiple facets of cow’s milk allergy

The multiple facets of cow’s milk allergy

MMLmiRLocNet: miRNA Subcellular Localization Prediction based on Multi-view Multi-label Learning for Drug Design.

Identifying subcellular localization of microRNAs (miRNAs) is essential for comprehensive understanding of cellular function and has significant implications for drug design. In the past, several computational methods for miRNA subcellular localization is being used for uncovering multiple facets of RNA function to facilitate the biological applications. Unfortunately, most existing classification methods rely on a single sequencebased view, making the effective fusion of data from multiple heterogeneous networks a primary challenge. Inspired by multi-view multi-label learning strategy, we propose a computational method, named MMLmiRLocNet, for predicting the subcellular localizations of miRNAs. The MMLmiRLocNet predictor extracts multi-perspective sequence representations by analyzing lexical, syntactic, and semantic aspects of biological sequences. Specifically, it integrates lexical attributes derived from k-mer physicochemical profiles, syntactic characteristics obtained via word2vec embeddings, and semantic representations generated by pre-trained feature embeddings. Finally, module for extracting multi-view consensus-level features and specific-level features was constructed to capture consensus and specific features from various perspectives. The full connection networks are utilized as the output module to predict the miRNA subcellular localization. Experimental results suggest that MMLmiRLocNet outperforms existing methods in terms of F1, subACC, and Accuracy, and achieves best performance with the help of multi-view consensus features and specific features extract network.

The ecology of opportunity: connecting socioecological health and school achievement in Alabama

ABSTRACT This study investigates the association between school-level achievement and the relative health of the social environment in which children are embedded, to gain a more comprehensive understanding of how behavioural, social, physical, and socio-emotional contexts may holistically impact learning. While research has recognised how specific aspects of a child’s environment can impact learning, what is less understood is how multiple facets of socioecological conditions may holistically contribute to learning advantages or disadvantages. To address this, we combine seven years and over 9,000 observations of school-level achievement scores from the U.S. state of Alabama with a comprehensive scale of “socioecological health” – a measure that includes multiple indicators such as nutrition access, housing quality, neighbourhood violence, social supports, income inequality, and mental health access. We then employ a three-level hierarchical linear modelling approach to assess the association between socioecological health and school achievement. Results suggest that (1) higher levels of socioecological health are associated with higher levels of school achievement; (2) effects are strongest for older students and rural students; and (3) healthy behaviours, social supports, and positive physical environment correspond with higher school achievement. These results highlight the breadth to which social and environmental determinants may influence learning opportunities and underscores the need for a more holistic and inclusive approach to educational leadership and social policy.

AI in plastic surgery: customizing care for each patient

Artificial intelligence (AI) and machine learning (ML) involve the usage of complex algorithms to identify patterns, predict future outcomes, generate new data, and perform other tasks that typically require human intelligence. AI tools have been progressively adopted by multiple disciplines of surgery, enabling increasingly patient-specific care, as well as more precise surgical modeling and assessment. For instance, AI tools such as ChatGPT have been applied to enhance both patient educational materials and patient-surgeon communication. Additionally, AI tools have helped support pre- and postoperative assessment in a diverse set of procedures, including breast reconstructions, facial surgeries, hand surgeries, wound healing operations, and burn surgeries. Further, ML-supported 3D modeling has now been utilized for patient-specific surgical planning and may also be combined with 3D printing technologies to generate patient-customized, implantable constructs. Ultimately, the advent of AI and its intersection with surgical practice have demonstrated immense potential to transform patient care by making multiple facets of the surgical process more efficient, precise, and patient-specific.

Climate change drives fish communities: Changing multiple facets of fish biodiversity in the Northwest Pacific Ocean

Global marine biodiversity is experiencing significant alterations due to climate change. Incorporating phylogenetic and functional diversity may provide novel insights into these impacts. This study used an ensemble model approach (random forest and boosted regression tree), to predict the habitat distribution of 47 fish species in the Northwestern Pacific under contemporary (2000–2014) and future scenarios (2040–2050, 2090–2100). We first examined the relationship between eleven functional traits and habitat changes, predicting the spatial distribution of functional traits within fish communities. A significant correlation was observed between temperature preference and habitat changes, highlighting the vulnerability of cold-water species and potential advantages for warm-water species in the future. Moreover, fish communities exhibited a spatial gradient distribution with southern regions characterized by shorter-lived and earlier maturity, contrasting with longer-lived and later maturity species in the north. Secondly, to assess the impact of climate change on marine biodiversity, we explored the taxonomic, phylogenetic, and functional diversity under contemporary and future scenarios, revealing higher indices in the East China Sea (ECS) and the coastal sea of Japan, with the Taiwan Strait emerging as a contemporary biodiversity hotspot. In future scenarios, the three biodiversity indices would decline in the Yellow Sea and ECS, but increase in the sea beyond the continental shelf, coastal sea of Hokkaido, and Sea of Okhotsk. Lastly, we explored processes and mechanisms in the change of community composition. By quantifying β-diversity, we identified species loss (nestedness) as the primary driver of fish community change by 2040–2050, with species replacement (turnover) predicted to become dominant in the far future. Our results explore the potential changes in multiple facets of fish biodiversity, providing crucial insights for policymakers aiming to protect fish resources and biodiversity.

Unravelling the “Ethos of Change” in African Urban Margins: Institutions, Stigmas, Experiences

Abstract How are desirable futures conceived in the African urban margins? What trajectories do individuals use to get there? And who decides what constitutes a desirable future? This special issue proposes the “ethos of change” as an analytical concept to better understand how urban margins in Africa shape specific lives and, in particular, aspirations for change. “Ethos of change” is a broad set of embodied norms, (self) narratives, and routine practices driving the trajectory of personal change to escape an initial self and environment that are both internalised as unsatisfactory and dishonourable. Based on case studies from Kenya, Cameroon, and Burkina Faso, analyses in this special issue focus on how individuals construct their experiences of violence, (de)radicalisation, displacement, and the intervention of large-scale state programmes. This introductory article offers an institutional framework for comprehending the other articles that constitute the special issue and summarises their contents. Additionally, it assesses how the special issue’s contribution advances our understanding of how to reconsider Africa’s urban margins as spaces for the production of difference, where individuals appropriate the idea of change with its modalities amidst multiple facets of stigma and symbolic violence in African urban margins.

Raising the case of hepatitis E: Report from the 2nd international HEV symposium

The 2nd International Hepatitis E Virus Symposium was held on April 28 and 29, 2023, in London, UK. The conference was hosted by the International Vaccine Institute and brought together key clinicians, researchers, and private and public stakeholders for a dedicated forum on hepatitis E virus (HEV). The scientific program spanned multiple facets of HEV, from updates on clinical research and diagnostic advances to vaccine development. The conference highlighted presentations on several critical HEV vaccine studies that will greatly impact the field, including the largest effectiveness study of Hecolin vaccine outside of China and the first reactive mass-vaccination campaign in South Sudan. This report summarizes information shared at the convening and offers perspectives on the steps forward for hepatitis E.

Addressing multiple facets of bias and uncertainty in continental scale biodiversity databases

The availability of biodiversity databases is expanding at unprecedented rates. Nevertheless, species occurrence data can be intrinsically biased and contain uncertainties that impact the accuracy and reliability of biodiversity estimates. In this study, we developed a reproducible framework to assess three dimensions of bias—taxonomic, spatial, and temporal—as well as temporal uncertainty associated with data collections. We utilized the vegetation plot data located in Europe, from sPlotOpen, an open-access database, as a case study. The metrics proposed for estimating bias include completeness of the species richness for taxonomic bias, Nearest Neighbor Index for spatial bias, and Pielou’s index for temporal bias. Additionally, we introduced a new method based on a negative exponential curve to model the temporal decay in biodiversity data, aiming to quantify temporal uncertainty. Finally, we assessed the sampling bias considering the influence of various spatial variables (i.e, road density, human population count, Natura 2000 network and topographic roughness). We discovered that the facets of bias and the temporal uncertainty varied throughout Europe, as did the different roles played by spatial variables in determining biases. sPlotOpen showed a clustered distribution of the vegetation plots, and an uneven distribution in sampling completeness, year of sampling and temporal uncertainty. The facets of bias were significantly explained mainly by the presence of Natura 2000 network and marginally by the human population count. These results suggest that employing an efficient procedure to examine biases and uncertainties in data collections can enhance data quality and provide more reliable biodiversity estimates.

Role of bacterial exopolysaccharides in edible films for food safety and sustainability. Current trends and future perspectives

Bacterial biopolymers are changing the concepts in the food industry as customer demands the addition of no artificial additives and want products “Clean labelled.” Exopolysaccharides (EPS) produced by some bacterial strains are the best replacements for these artificial additives. The monomeric composition, quality, quantity, structure, molecular weight, and charge on these bioparticles decide the qualities, that is, rheology, texture, shelf life, and physiochemical properties of the product. Exopolysaccharides are the best biothickeners and are being widely used in the food industry. They are widely used as coatings and edible films in food substances, especially fruits and vegetables. These consist of substances that are Generally Recognized as Safe. These coatings and edible films promise improved shelf life and better nutritional properties and act as a protective barrier for food items. Bacterial EPS are widely used in edible films, yogurt-like and plant-based beverages, the meat industry, and fermented low-fat meat, sourdoughs, and low-fat cheese. It interacts with other components and improves the texture, stabilization, viscosity, and mouthfeel of end products. The structural and functional properties of these substances still need to be explored. The main objective of this review is to focus on the importance of EPS produced by various strains, its structure and uses as edible coatings and films, functionality, and applications in various food products. Overall, the future of bacterial EPS in the food industry appears promising, with avenues for innovation and application across multiple facets of food production, including texture modification, nutritional enhancement, and sustainability.

Conceptions of aging and beliefs about how one's life is unfolding over time: A lifespan developmental perspective.

The present study examined beliefs about how one's life satisfaction is unfolding over time in relation to conceptions of aging in an online American adult lifespan sample (N = 882; Mage = 47.89, SD = 15.30, range = 19-84 years; 56% female). Single-item and multi-item ratings of recollected past, current, and anticipated future life satisfaction were employed, along with subjective perceptions of change in life satisfaction over time. Person-centered (latent profile) analysis identified distinct linear and nonlinear patterns of beliefs concerning past-current and current-future changes in life satisfaction: improve-improve, stable-stable, worsen-worsen, and worsen-improve. Multiple facets of conceptions of aging were assessed, including subjective perceptions of age (chronological vs. felt and desired age); attitudes toward, experiences of, and expectations concerning aging; future time perspective; and goal orientations (growth, maintenance, prevention of losses). Multinomial logistic regression models identified unique facets of conceptions of aging characterizing the four profiles. In general, individuals reporting a distinct profile conveying the belief that one's life was improving (vs. worsening) over time were characterized by more positive conceptions of aging. Further, conceptions of aging partially explained the link between chronological age and the belief that one's life is getting worse and worse (vs. better and better). Thus, the present work provides new insights into how age and conceptions of aging may shape the directions and patterns with which individuals view their lives to be unfolding over time. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The natural flavonoid pinocembrin shows antithrombotic activity and suppresses septic thrombosis

Sepsis, an extreme host response to systemic infection, remains one of the leading causes of mortality worldwide. Platelets, which are integral to both thrombosis and inflammation, play a crucial role in the pathophysiology of sepsis. Excessive platelet activation and aggregation significantly increase the risk of thrombosis, thereby elevating mortality in septic patients. However, the etiology and treatment of this condition have not been comprehensively studied. This study identifies pinocembrin, a natural flavonoid compound derived from propolis, as a potential therapeutic agent for mitigating platelet activation and treating sepsis. In vivo, pinocembrin effectively inhibited FeCl3-induced carotid arterial occlusive thrombus formation and collagen/epinephrine-induced pulmonary thromboembolism in mouse models. In vitro, pinocembrin treatment suppressed multiple facets of platelet activation, including aggregation, secretion, and αIIbβ3-mediated signaling events. Mechanistically, pinocembrin repressed platelet functions by inhibiting Src/Syk/PLCγ2/MAPK signaling pathway. Using cecal ligation and puncture (CLP) mouse model to simulate human sepsis, pinocembrin reduced inflammatory cytokine release and septic thrombosis, thereby improving the survival rate of septic mice. Lipopolysaccharide (LPS)-induced model further substantiated these results. Overall, the inhibition of platelet activity by pinocembrin demonstrates significant therapeutic potential for managing life-threatening septic thrombosis.

An Overview of Caribbean and African Literary Theories

As it is believed, Africa is the cradle of humankind, where humans also left for other parts of the world during the slave trade and also during World War I and II. At the abolition of the slave trade, many African descendants settled where they could call home, like in the Caribbean islands and other parts of the world, as a result of the ancestral and cultural attachment between Africa and the places where the descendants of the slaves where we could see some similarities in their ways of life. We can see these facts also translate into the African and Caribbean writers' literary works, among other spheres of life. The analyses show that while both literatures share common concerns related to colonial legacy and the quest for identity, they are distinguished by unique historical and socio-political contexts that influence their narrative perspectives. For example, African literature tends to focus more on the effects of colonization and decolonization on the African continent, while Caribbean literature often emphasizes the dynamics of the diaspora and the multiple facets of Caribbean identity. In addition, this study examines the use of language and literary techniques specific to each region, as well as the contributions of major literary figures such as aimé Césaire, Léopold Sédar Senghor, Monique Ilboudo, Werewe Liking, Wole Soyinka, Maryse Condé and many others. Finally, this comparison offers a deeper understanding of the richness and diversity of postcolonial literature while highlighting the unique voices and shared experiences of African and Caribbean writers.

Negative and positive urgency as pathways in the intergenerational transmission of suicide risk in childhood.

Parental suicide attempts and suicide death increase suicide risk in their offspring. High levels of impulsivity have been observed in families at high risk for suicide. Impulsivity, a highly heritable trait that is especially elevated in childhood, is frequently measured with the UPPS-P Impulsive Behavior Scale, which includes negative urgency, positive urgency, sensation seeking, premeditation, and perseverance. Our study examined the association between the UPPS-P facets and suicide ideation (without suicide attempts) and suicide attempts at baseline and first-time endorsement within the next two years in childhood. We also examined how the UPPS-P facets mediated the association between parental suicide attempts and suicide death and offspring first-time suicide ideation and attempts at follow-up. The sample was 9,194 children (48.4% female; 9-10 years old) from the Adolescent Brain Cognitive Development (ABCD) study, assessed yearly three times. At Time 1 (T1), caregivers reported on suicide attempts and suicide deaths (combined) of the biological parents. Caregivers and children reported on suicide ideation and attempts in the KSADS-PL DSM-5 at each time point, T1 and follow-up (T2 and/or T3). The Short UPPS-P Scale (child-report) assessed the impulsivity facets at T1, which were computed as latent variables. At T1, 6.7% of children had a parent who had attempted or died by suicide. Most UPPS-P facets were associated with suicide ideation and attempts at T1 and T2/T3. In adjusted models, parental suicide attempts and suicide death were associated with offspring negative and positive urgency. In mediation models, parental suicide attempts and suicide death had an indirect effect on offspring first-time suicide ideation at T2/T3 through negative urgency (OR = 1.04; 95% CI, 1.01-1.08) and positive urgency (OR = 1.03, 95% CI, 1.01-1.05). Similar results were found for first-time suicide attempts at T2/T3. Our findings support an impulsive pathway in the familial transmission of suicide risk. For all youth, interventions that target multiple UPPS-P facets may help prevent or reduce suicide risk. For offspring whose parents have attempted or died by suicide, clinicians should pay particular attention to children who impulsively act on extreme emotions, as they may be at higher suicide risk.

Sexual Abuse, Commercial Sexual Exploitation, and Cumulative Adversity Among Sexually Diverse and Non-Sexually Diverse Girls in the Juvenile Justice System

ABSTRACT Despite awareness about high rates of sexual abuse among girls in the juvenile justice system, little is known about the additional risk conferred upon sexually diverse (SD) youths, as well as the combined vulnerability of sexual abuse and commercial sexual exploitation of children (CSEC) – frequently a survival behavior amplifying disproportionate juvenile justice contact among SD and non-SD juvenile justice-involved (JJI) girls. In a sample of JJI-girls, we compared SD (n = 52) with non-SD (n = 46) JJI-girls on sexual victimization (e.g. sexual abuse occurring within different relationship-types, CSEC), and broader developmental adversity burden disadvantage (cumulative trauma/loss exposure-types) and distress (posttraumatic stress disorder [PTSD]; cumulative stressor-reactivity, grief-specific, and adversity-related symptoms), health distress/impairment, and sexual and physical health-risk indicators. While comparable on childhood sexual abuse frequency, SD JJI-girls reported greater cumulative sexual abuse severity across relationship-types, higher sexual abuse within non-familial contexts, and more CSEC involvement. They also reported more social determinants of health (e.g. trauma/loss exposure-types) and showed elevations on all health-risk indicators, and most cumulative adversity burden indicators, despite comparable PTSD severity. Our findings emphasize the need to consider multiple sexual victimization facets, including the combined vulnerability of sexual abuse and CSEC, and utilize cumulative developmental assessment approaches among youths vulnerable to maltreatment and exploitation.

Biophysically interpretable inference of cell types from multimodal sequencing data.

Multimodal, single-cell genomics technologies enable simultaneous measurement of multiple facets of DNA and RNA processing in the cell. This creates opportunities for transcriptome-wide, mechanistic studies of cellular processing in heterogeneous cell populations, such as regulation of cell fate by transcriptional stochasticity or tumor proliferation through aberrant splicing dynamics. However, current methods for determining cell types or 'clusters' in multimodal data often rely on ad hoc approaches to balance or integrate measurements, and assumptions ignoring inherent properties of the data. To enable interpretable and consistent cell cluster determination, we present meK-means (mechanistic K-means) which integrates modalities through a unifying model of transcription to learn underlying, shared biophysical states. With meK-means we can cluster cells with nascent and mature mRNA measurements, utilizing the causal, physical relationships between these modalities. This identifies shared transcription dynamics across cells, which induce the observed molecule counts, and provides an alternative definition for 'clusters' through the governing parameters of cellular processes.

From Policy Advisors to Transfer Agents: Understanding the Role of Policy Advisors in the Circulation of Good Governance Principles in the Global South

By the moment policy advisory system (PAS) gains field as a scientific object in public policy; different studies on the subject explore its importance in political systems. They reveal that PAS provides a significant support to public policy decision for central and local governments, thereby highlighting its impact in decision and policy-making process within these systems. While agreeing with this evidence, the present paper focuses on the role of Policy Advice Actors (PAA) in the diffusion and transfer of good governance principles at the international level. The aim of this paper is therefore to contribute to the debate on the multiple facets of policy advisory system in Africa by analyzing the dynamics of policy advisors in policy decision. It eventually tries to link PAS to policy diffusion and highlights how the PAS is being used by these actors to crystallize their knowledge and ideas into different political systems. The present paper is a qualitative analysis based on empirical evidence and the existing literature on the issue in Africa and particularly in Cameroon. Henceforth, it is argued that policy transfer especially diffusion is an important mechanism of PAS in the global south, of course as external policy advice is concerned, international organizations that constitute the main actors of this system are engaged into providing global solution for southern countries rather than policy innovation. Despite this evidence these actors may somehow be confronted to different degrees of complexity into the local context.