Shared Environment Research Articles

Retracted: A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment

Retracted: A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment

Ecological Implications on Aquatic Food Webs Due to Effects of Pesticides on Invertebrate Predators in a Neotropical Region.

Predation presents specific behavioral characteristics for each species, and the interaction between prey and predator influences the structuring of the food web. Concerning insects, predation can be affected in different ways, such as exposure to chemical stressors, e.g., pesticides. Therefore, analyses were carried out of the effects of exposure to insecticide fipronil and the herbicide 2,4-D on predation, parameters of food selectivity, and the swimming behavior of two neotropical predatory aquatic insects of the families Belostomatidae (giant water bugs) and larvae of Libellulidae (dragonfly). These predatory insects were exposed for 24 h to a commercial formulation of the chlorophenoxy herbicide, 2,4-D at nominal concentrations of 200, 300, 700, and 1400μgL-1, and to a commercial formulation of the phenylpyrazole insecticide, fipronil at nominal concentrations of 10, 70, 140, and 250µgL-1. In a control treatment, the insects were placed in clean, unspiked water. At the end of the exposure, the maximum swimming speed of the predators was evaluated. Afterward, the predators were placed in clean water in a shared environment for 24 h with several prey species, including the cladoceran Ceriodaphnia silvestrii, larvae of the insect Chironomus sancticaroli, the amphipod Hyalella meinerti, the ostracod Strandesia trispinosa, and the oligochaete Allonais inaequalis for 24 h. After this period, the consumed prey was counted. The results reveal that predators from both families changed prey consumption compared with organisms from the control treatment, marked by a decrease after exposure to fipronil and an increase in consumption caused by 2,4-D. In addition, there were changes in the food preferences of both predators, especially when exposed to the insecticide. Exposure to fipronil decreased the swimming speed of Belostomatidae individuals, possibly due to its neurotoxic effect. Exposure to the insecticide and the herbicide altered prey intake by predators, which could negatively influence the complex prey-predator relationship and the functioning of aquatic ecosystems in contaminated areas.

Rare serovars of non-typhoidal Salmonella enterica isolated from humans, beef cattle and abattoir environments in Nigeria.

Salmonella is considered one of the most significant pathogens in public health since it is a bacterium that is frequently linked to food-borne illnesses in humans. Some Salmonella serovars are responsible for outbreaks that are connected to the consumption of animal products. Cattle are connected to humans through a shared environment and the food chain as a significant source of animal protein. In Nigeria, antimicrobial medications are easily accessible for use in food-producing animals. Abattoir environments are reservoirs of foodborne bacteria like non-typhoidal Salmonella enterica (NTS), that have become resistant to antibiotics used for prophylaxis or treatment in animals. This study investigated the prevalence and resistance patterns of Salmonella enterica serovars in abattoir employees, beef cattle and abattoir environments in Abuja and Lagos, Nigeria. A total of 448 samples were collected from healthy personnel, slaughtered cattle, and abattoir environments between May and December 2020. Using Kirby-Bauer disk diffusion method, the resistance profile of NTS isolates were determined. Multidrug resistance (MDR) was considered when NTS was resistant to ≥3 antimicrobial drug classes. We performed phenotypic and genotypic characterizations of all Salmonella isolates including serotyping. Descriptive statistics were used to analyze the data. Twenty-seven (6%) NTS isolates were obtained. Prevalence of NTS was highest in abattoir environments (15.5%; 9/58), followed by cattle (4.8%;13/272) and abattoir employees (4.2%; 5/118). A high prevalence of resistance was observed for gentamicin (85.2%; 23/27) and tetracycline (77.8%; 21/27). Whole-genome sequencing of 22 NTS showed dissemination of aac(6')-laa (22/22), qnrB19 (1/22), fosA7 (1/22), and tetA (1/22) genes. Serovar diversity of NTS varied with source. S. Anatum, a rare serovar predominated with a prevalence of 18.2% (4/22). Chromosomal point mutations showed ParC T57S substitution in 22 NTS analyzed. Among 22 NTS, 131 mobile genetic elements (MGEs) were detected including insertion sequences (56.5%) and miniature inverted repeats (43.5%). Two integrating MGEs IS6 and IS21 were observed to carry the tetA gene + Incl-1 on the same contig in NTS originating from cattle. Rare serovars namely S. Abony and S. Stormont with MDR phenotypes recovered from cattle and abattoir environments were closely related with a pairwise distance of ≤5 SNPs. First report of rare serovars in Nigeria with MDR phenotypes in humans, cattle, and abattoir environments. This study demonstrates the spread of resistance in the abattoir environment possibly by MGEs and emphasizes the importance of genomic surveillance. Beef cattle may be a risk to public health because they spread a variety of rare Salmonella serovars. Therefore, encouraging hand hygiene among abattoir employees while processing beef cattle will further reduce NTS colonization in this population. This requires a One Health collaborative effort among various stakeholders in human health, animal health, and environmental health.

Ethical use of data in the metaverse for corporate social responsibility

The study examined ethical use of data in the metaverse for corporate social responsibility (CSR). The study noted that Metaverse, is an emerging technology with vast potential for businesses, social interactions, and entertainment. Nevertheless, with the increasing use of data in this digital realm, it is crucial to ensure the ethical use of data and prioritize Corporate Social Responsibility (CSR). Thus, metaverse has garnered a lot of interest recently. It describes a group virtual shared environment that is produced through the combination of virtual, augmented, and physical reality settings. The metaverse can be conceptualized as an immersive, persistent, and networked virtual environment where users can explore different virtual environments, interact with one another, and take part in a variety of activities. Consequently, in the metaverses, CSR plays a crucial role. These elements consist of safeguarding user privacy and data security, battling false and misleading information, encouraging diversity and inclusion, addressing the impact on the environment, supporting moral business conduct, and enhancing stakeholder trust. The study concluded that Corporate social responsibility is crucial when it comes to the moral use of data in the metaverse. Companies can foster trust with their users and help the metaverse succeed as a whole by making sure that user data is gathered, stored, and used ethically. It was recommended that firms should consider the environmental impact of the metaverse and adopt sustainable practices to minimize negative consequences on the environment.

Unequal before death: The effect of paternal education on children’s old-age mortality in the United States

A growing body of research documents the relevance of parental education as a marker of family socio-economic status for children’s later-life health outcomes. A strand of this literature evaluates how the early-life environment shapes mortality outcomes during infancy and childhood. However, the evidence on mortality during the life course and old age is limited. This paper contributes to the literature by analysing the association between paternal education and children’s old-age mortality. We use data from Social Security Administration death records over the years 1988–2005 linked to the United States 1940 Census. Applying a family(cousin)- fixed-effects model to account for shared environment, childhood exposures, and common endowments that may confound the long-term links, we find that having a father with a college or high-school education, compared with elementary/no education, is associated with a 4.6- or 2.6-month-higher age at death, respectively, for the child, conditional on them surviving to age 47.

The eXchange Calculus (XC): A functional programming language design for distributed collective systems

Distributed collective systems are systems formed by homogeneous dynamic collections of devices acting in a shared environment to pursue a joint task or goal. Typical applications emerge in the context of wireless sensor networks, robot swarms, groups of wearable-augmented people, and computing infrastructures. Programming such systems is notoriously hard, due to requirements of scalability, concurrency, faults, and difficulty in making desired collective behaviour ultimately emerge: ad-hoc languages and mechanisms have been proposed threads like spatial computing, macro-programming, and field-based coordination.In this paper we present the eXchange Calculus (XC), formalising a tiny set of key mechanisms, usable across many different languages and platforms, allowing to express the overall interactive behaviour of distributed collective systems in a declarative way. In this approach, computation (executed in asynchronous rounds), communication (which is neighbour-based), and state over time, are all expressed by a single declarative construct, called exchange. We provide a formalisation of XC in terms of syntax, device-level and network-level semantics, prove a number of properties of the calculus, and discuss applicability considering a smart city scenario. XC is implemented as a DSL in Scala and in C＋＋, with different trade-offs in terms of productivity and platform targetting.

QoS-pro: A QoS-enhanced Transaction Processing Framework for Shared SSDs

Solid State Drives (SSDs) are widely used in data-intensive scenarios due to their high performance and decreasing cost. However, in shared environments, concurrent workloads can interfere with each other, leading to a violation of Quality of Service (QoS). While QoS mechanisms like fairness guarantees and latency constraints have been integrated into SSDs, existing transaction processing frameworks offer limited QoS guarantees and can significantly degrade overall performance in a shared environment. The reason is that the internal components of an SSD, originally designed to exploit parallelism, struggle to coordinate effectively when QoS mechanisms are applied to them. This article proposes a novel QoS -enhanced transaction pro cessing framework, called QoS-pro, which enhances QoS guarantees for concurrent workloads while maintaining high parallelism for SSDs. QoS-pro achieves this by redesigning transaction processing procedures to fully exploit the parallelism of shared SSDs and enhancing QoS-oriented transaction translation and scheduling with parallelism features in mind. In terms of fairness guarantees, QoS-pro outperforms state-of-the-art methods by achieving 96% fairness improvement and 64% maximum latency reduction. QoS-pro also shows almost no loss in throughput when compared with parallelism-oriented methods. Additionally, QoS-pro triggers the fewest Garbage Collection (GC) operations and minimally affects concurrently running workloads during GC operations.

Towards flexibility and robustness of LSM trees

Log-structured merge trees (LSM trees) are increasingly used as part of the storage engine behind several data systems, and are frequently deployed in the cloud. As the number of applications relying on LSM-based storage backends increases, the problem of performance tuning of LSM trees receives increasing attention. We consider both nominal tunings—where workload and execution environment are accurately known a priori—and robust tunings—which consider uncertainty in the workload knowledge. This type of workload uncertainty is common in modern applications, notably in shared infrastructure environments like the public cloud. To address this problem, we introduce Endure, a new paradigm for tuning LSM trees in the presence of workload uncertainty. Specifically, we focus on the impact of the choice of compaction policy, size ratio, and memory allocation on the overall performance. Endure considers a robust formulation of the throughput maximization problem and recommends a tuning that offers near-optimal throughput when the executed workload is not the same, instead in a neighborhood of the expected workload. Additionally, we explore the robustness of flexible LSM designs by proposing a new unified design called K-LSM that encompasses existing designs. We deploy our robust tuning system, Endure, on a state-of-the-art key-value store, RocksDB, and demonstrate throughput improvements of up to 5×\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes $$\\end{document} in the presence of uncertainty. Our results indicate that the tunings obtained by Endure are more robust than tunings obtained under our expanded LSM design space. This indicates that robustness may not be inherent to a design, instead, it is an outcome of a tuning process that explicitly accounts for uncertainty.

Exploring the impact of a co-designed shared book reading environment for families in a community hub.

Evidence supports the effectiveness of shared book reading for promoting language and literacy development, but it is known that families experiencing vulnerability may have reduced access to books and are less likely to share books regularly at home. Community hubs often provide support to families experiencing vulnerability and may provide an opportunity to create environments that support families to engage in shared book reading, especially if families are invited into the creation of these environments through co-design. However, there is currently little evidence regarding the impact of co-designing shared book reading environments with families in community settings. The current study is part of a broader project which used co-design to develop a shared book reading environment in collaboration with stakeholders in a community hub. This small-scale study aimed to provide a preliminary evaluation of the impact of this co-designed shared book reading environment at the community hub on (1) the frequency of shared book reading at the hub; (2) participants' confidence and enjoyment of reading with children at the hub; and (3) participants' experiences of shared book reading at the hub. The co-design project was carried out in four phases with families, staff and community partners at the community hub. A convergent mixed-methods approach was used to collect and analyse quantitative and qualitative data in the first and last phase of the project to evaluate project outcomes. Quantitative data (environmental observations of reading at the hub and participant ratings of confidence and enjoyment of reading with children at the hub) were analysed using descriptive statistics and nonparametric statistical tests. Qualitative data (participants' responses regarding their experiences of changes implemented in the community hub) were analysed using inductive content analysis. An increased frequency of shared book reading was observed within the community hub after changes were implemented, and positive changes in enjoyment of book reading were recorded. Qualitative responses from participants following conclusion of the project were organised into three main categories, which showed that (1) children and families were reading more and enjoying reading activities that were happening; (2) children and families were borrowing more books; and (3) families had changed the way they were reading at home with their children. A co-designed shared book reading environment within a community hub had a positive impact on shared book reading experiences for families in areas with high levels of vulnerability. What is already known on this subject Community hubs provide a unique opportunity to support early language and literacy development in partnership with families in areas of vulnerability; however, there is limited literature investigating the impacts of these supports. A previous study utilised co-design to develop a shared book reading environment with stakeholders at a community hub in an area where a high proportion of children are considered to be 'vulnerable' in terms of language and literacy development. It was found that co-design enabled the development of collaborative changes to support shared book reading that were valued and owned by families, staff and community partners at the community hub. What this study adds The current study focused on evaluating the impact of a co-design project on the frequency of shared book reading at the hub and participants' experiences, confidence and enjoyment of reading with children at the hub. Analysis of pre- and post-data provide preliminary evidence that a co-designed shared book reading environment in a community hub can have a positive impact on increasing families' awareness and engagement with book borrowing, engagement in shared book reading activities in the community and at home, and participants' confidence and enjoyment of reading with children. What are the clinical implications of this work? Speech pathologists have an important role to play in prevention and promotion. This study has shown that collaboration with families experiencing vulnerability can support the implementation of strategies to promote shared reading in a community hub and demonstrate increased quality and frequency of shared book reading. The utilisation of a community hub also highlights the opportunities for the speech pathology profession to deliver community-based promotion and prevention initiatives as a strategy to address equitable language outcomes.

Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity

SARS-CoV-2 has infected over 340 million people, prompting therapeutic research. While genetic studies can highlight potential drug targets, understanding the heritability of SARS-CoV-2 susceptibility and COVID-19 severity can contextualize their results. To date, loci from meta-analyses explain 1.2% and 5.8% of variation in susceptibility and severity respectively. Here we estimate the importance of shared environment and additive genetic variation to SARS-CoV-2 susceptibility and COVID-19 severity using pedigree data, PCR results, and hospitalization information. The relative importance of genetics and shared environment for susceptibility shifted during the study, with heritability ranging from 33% (95% CI: 20%-46%) to 70% (95% CI: 63%-74%). Heritability was greater for days hospitalized with COVID-19 (41%, 95% CI: 33%-57%) compared to shared environment (33%, 95% CI: 24%-38%). While our estimates suggest these genetic architectures are not fully understood, the shift in susceptibility estimates highlights the challenge of estimation during a pandemic, given environmental fluctuations and vaccine introduction.

Efficacy evaluation of adaptive collision avoidance systems for autonomous maritime surface ships based on target ships’ maneuvering behaviors

ABSTRACT Ongoing advancements in collision avoidance systems (CAS) for autonomous ships, built on diverse algorithms, have significantly enhanced performance. These systems, underpinned by a range of sophisticated algorithms, demonstrate increased accuracy in detecting potential collisions, quicker response times, and more reliable path prediction and avoidance maneuvers. Nevertheless, a prevalent trend in these systems is the insufficient consideration of the broader behavioral context of maritime navigation, especially for manned ships. The objective of this research is to present a methodology that can improve the capabilities of CAS in autonomous ships based on target ships’ maneuvering behaviors. This methodology will enable autonomous ships to respond adaptively to the actions of target ships, particularly manned ships, while also reacting to immediate environmental stimuli. The ultimate goal is to enhance the safety of navigation. This research utilizes information derived from simulated ship handling training, focusing on feature extraction within steering, spatial, and temporal elements. The tests prioritize the “Average Distance Deviation” metric for designing test scenarios. Simulation-based evaluation tests feature a velocity obstacle algorithm that discerns CAS action in single-ship crossing situations. The research reveals the potential of integrating behavioral dynamics into CAS, which enhances safety in autonomous maritime navigation and fosters a more integrated approach, where autonomous and manned ships coexist synergistically in shared environments.

Non-traditional small companion mammals in Spain as reservoirs of antimicrobial-resistant Staphylococci.

The increasing prevalence of antimicrobial resistance (AMR) and multidrug resistance (MDR) in microorganisms poses a significant concern in both human and veterinary medicine. Non-traditional companion animals (NTCAs), particularly popular amongst households with children, play a crucial role in AMR epidemiology due to their rising population. Indeed, it is known that some of these animals may act as reservoirs of zoonotic pathogens and thus be able to spread and transmit them to family members, along with their AMR, through their shared environment. It is therefore imperative to address this concern with the involvement of human, animal and environmental health professionals. This pilot study aimed to assess the prevalence and AMR patterns of Staphylococcus spp. strains obtained from commensal mucosal and skin infection samples in NTC small mammals, with a focus on strains like methicillin-resistant Staphylococcus spp. (MRS) that are critical in public health. For this purpose, 81 animals of different small mammal species were sampled, assessing antimicrobial susceptibility to 27 relevant antimicrobial agents (AMAs) in human health using minimum inhibitory concentration assays, and interpreting them according to EUCAST and CLSI guidelines. The isolated Staphylococci strains were identified by MALDI-TOF, with the predominant species being Mammalicoccus sciuri and Staphylococcus aureus. Including all strains isolated, AMR was observed against all 27 AMAs, including six last-resort AMAs in human medicine. Additionally, over 85% of the strains exhibited MDR. These findings underscore the need to monitor AMR and MDR trends in companion animals and emphasise the potential role of NTCAs in spreading resistance to humans, other animals, and their shared environment, calling for a comprehensive "One Health" approach.

Silicone tags as an effective method of monitoring environmental contaminant exposures in a geographically diverse sample of dogs from the Dog Aging Project.

Companion animals offer a unique opportunity to investigate risk factors and exposures in our shared environment. Passive sampling techniques have proven effective in capturing environmental exposures in dogs and humans. In a pilot study, we deployed silicone monitoring devices (tags) on the collars of a sample of 15 dogs from the Dog Aging Project Pack cohort for a period of 120 h (5 days). We extracted and analyzed the tags via gas chromatography-mass spectrometry for 119 chemical compounds in and around participants' homes. Analytes belonging to the following chemical classes were detected: brominated flame retardants (BFRs), organophosphate esters (OPEs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), pesticides, phthalates, and personal care products. The types and amounts of analytes detected varied substantially among participants. Data from this pilot study indicate that silicone dog tags are an effective means to detect and measure chemical exposure in and around pet dogs' households. Having created a sound methodological infrastructure, we will deploy tags to a geographically diverse and larger sample size of Dog Aging Project participants with a goal of further assessing geographic variation in exposures.

Host‐, Environment‐, or Human‐Related Effects Drive Interspecies Interactions in an Animal Tuberculosis Multi‐Host Community Depending on the Host and Season

In many Mediterranean ecosystems, animal tuberculosis (TB), caused by Mycobacterium bovis, is maintained by multi‐host communities in which cattle and different wildlife species establish interaction networks contributing to M. bovis transmission and persistence. Most studies have addressed wildlife–cattle disease‐relevant interactions, focusing on reservoir hosts, while disregarding the potential contribution of the so‐called accidental hosts and/or neglecting wildlife–wildlife interactions. In this work, we aimed to characterise interspecies interactions in an endemic TB risk area and identify the ecological drivers of interaction patterns regardless of the pre‐attributed role of host species on TB epidemiology. For that purpose, spatial–temporal indirect interactions between wildlife mammals and cattle, and between different wildlife species, were investigated through camera trapping. Second, five ecological hypotheses potentially driving species pair interactions in the wet and dry seasons were tested covering water and control sites: human presence (H1), landscape composition (H2), topography (H3), weather (H4), and natural food and water resources (H5). Wild boar (Sus scrofa), red deer (Cervus elaphus), and red fox (Vulpes vulpes) were the wildlife species mostly involved in indirect interactions. We found that indirect wildlife–cattle interactions were more frequent than wildlife interactions and, for certain species pairs, interaction rates were higher in the wet season in both wildlife–cattle and wildlife groups. Natural food and water resources (H5) was the most supported hypothesis that influenced the abundance of wildlife–cattle interactions, with positive effects during the dry season and negative effects during the wet season. In contrast, the abundance of indirect interactions between wildlife species was mainly supported by the human disturbance hypothesis (H1), with negative effects exerted on the dry season and variable effects on the wet season. Other tested hypotheses also influenced wildlife–cattle and wildlife–wildlife interactions, depending on the season and host species. These results highlight that indirect interactions, and thus conditions potentially favouring the transmission of M. bovis in shared environments, are determined by different ecological backgrounds.

Macro- and micro-genetic environmental sensitivity of yearling weight in Angus beef cattle

Australian beef cattle experience variable conditions, which may give rise to genotype-by-environment interactions depending on the genotypes’ macro- and/or micro-genetic environmental sensitivity (GES). Macro-GES gives rise to genotype-by-environment interactions across definable and shared environments, while micro-GES causes heritable variation of phenotypes, e.g., the performance of progeny from one sire may be more variable than other sires. Yearling weight (YW) is a key trait in Australian Angus cattle that may be impacted by both macro- and micro-GES. Current models for genetic evaluation of YW attempt to account for macro-GES by fitting sire-by-herd interactions (S × H). Variation in micro-GES had not yet been estimated for YW in Australian Angus. The aim of this study was to estimate genetic variation due to macro- and micro-GES in YW of Australian Angus cattle. A reaction norm with contemporary group effects as the environmental covariate was fitted either as an alternative to or in combination with a random S × H effect to account for macro-GES. Double hierarchical generalised linear models (DHGLM), fitted as sire models, were used to estimate the genetic variance of the dispersion as a measure of micro-GES. Variation due to both macro- and micro-GES were found in YW. The variance of the slope of the reaction norm was 0.02–0.03 (SEs 0.00), while the S × H variance accounted for 7% of the phenotypic variance in all models. Results showed that both a random S × H effect and a reaction norm should be included to account for both macro-GES and the additional variation captured by an S × H effect. The heritability of the dispersion on the measurement scale ranged from 0.06 to 0.10 (SEs 0.00) depending on which model was used. It should therefore be possible to alter both macro- and micro-GES of YW in Australian Angus through selection. However, care should be taken to ensure an appropriate data structure when including sire-by-herd interactions in the mean part of a DHGLM; otherwise, it can cause biased estimates of micro-GES.

“Braking bad”: The influence of haptic feedback and tram driver experience on emergency braking performance

Trams are experiencing a resurgence with worldwide network expansion driven by the need for sustainable and efficient cities. Trams often operate in shared or mixed-traffic environments, which raise safety concerns, particularly in hazardous situations. This paper adopts an international, mixed-methods approach, conducted through two interconnected studies in Melbourne (Australia) and Birmingham (UK). The first study involved qualitative interviews, while the second was an experimental study involving a virtual reality (VR) simulator and haptic master controller (i.e., speed lever). In tram operations, master controllers play a critical role in ensuring a smooth ride, which directly influences passenger safety and comfort. The objective was to understand how a master control system, enhanced with additional haptic feedback, could improve tram driver braking performance and perceptions in safety-critical scenarios. Interview results indicate that the use of the emergency brake is considered the final or ultimate choice by drivers, and their driving experience is a moderating factor in limiting its application. Combined with the experimental results, this paper highlights how implementing haptic feedback within a master controller can reduce the performance disparity between novice and experienced tram drivers.

Collective prenatal care facilitated by educational technology: perception of pregnant women.

This article aims to explore the perception of pregnant women regarding collective prenatal care facilitated by educational technology, in the light of complexity thinking. Qualitative, exploratory and descriptive study conducted between August and November 2022. The participants were 19 pregnant women from a Family Health Strategy in the central region of the State of Rio Grande do Sul. Data were collected through individual interviews following prenatal meetings and analyzed using thematic analysis. The analysis of the data revealed three thematic axes: Prenatal care: the necessary reconnection of knowledge; Collective prenatal care: collaborative (re)construction of experiences and practices; and Educational technology: tool to foster self-reflection and self-knowledge. Collective prenatal care, facilitated by educational technology, can promote better practices in the pregnancy-postpartum journey by creating collaborative and shared environments for knowledge construction and enabling autonomous and informed decision-making.

Collective prenatal care facilitated by educational technology: perception of pregnant women

Abstract This article aims to explore the perception of pregnant women regarding collective prenatal care facilitated by educational technology, in the light of complexity thinking. Qualitative, exploratory and descriptive study conducted between August and November 2022. The participants were 19 pregnant women from a Family Health Strategy in the central region of the State of Rio Grande do Sul. Data were collected through individual interviews following prenatal meetings and analyzed using thematic analysis. The analysis of the data revealed three thematic axes: Prenatal care: the necessary reconnection of knowledge; Collective prenatal care: collaborative (re)construction of experiences and practices; and Educational technology: tool to foster self-reflection and self-knowledge. Collective prenatal care, facilitated by educational technology, can promote better practices in the pregnancy-postpartum journey by creating collaborative and shared environments for knowledge construction and enabling autonomous and informed decision-making.

Perception of shared learning environment differs between vascular surgery and general surgery residents

BackgroundAn enriching learning environment is integral to resident wellness and education. Integrated vascular (VS) and general surgery (GS) residents share 18 months of core GS rotations during the postgraduate years 1-3 (PGY1-3); differences in their experiences may help identify practical levers for change. MethodsWe used a convergent mixed-methods design. Cross-sectional surveys were administered after the 2020 American Board of Surgery In-Training Examination and Vascular Surgery In-Training Examination, assessing eight domains of the learning environment and resident wellness. Multivariable logistic regression models identified factors associated with thoughts of attrition between categorical PGY1-3 residents at 57 institutions with both GS and VS programs. Resident focus groups were conducted during the 2022 Vascular Annual Meeting to elicit more granular details about the experience of the learning environment. Transcripts were analyzed using inductive and deductive logics until thematic saturation was achieved. ResultsSurveys were completed by 205 VS and 1198 GS PGY1-3 residents (response rates 76.8% for VS and 82.5% for GS). After adjusting for resident demographics, PGY level, and program type, GS residents were more likely than their VS peers to consider leaving their programs (odds ratio [OR]: 2.61, 95% confidence interval [CI]: 1.37-4.99). This finding did not persist after adjusting for differences in perceptions of the learning environment, specifically: GS residents had higher odds of mistreatment (OR: 1.99, 95% CI: 1.36-2.90), poorer work-life integration (OR: 2.88, 95% CI: 1.41-5.87), less resident camaraderie (OR: 3.51, 95% CI: 2.26-5.45), and decreased meaning in work (OR: 2.94, 95% CI: 1.80-4.83). Qualitative data provided insight into how the shared learning environment was perceived differently: (1) vascular trainees expressed that early specialization and a smaller, more invested faculty allow for an apprenticeship model with early operative exposure, hands-on guidance, frequent feedback, and thus early skill acquisition (meaning in work); (2) a smaller program is conducive to closer relationships with co-residents and faculty, increasing familiarity (camaraderie and work-life integration); and (3) due to increased familiarity with program leadership, vascular trainees feel more comfortable reporting mistreatment, allowing for prompt responses (mistreatment). ConclusionsDespite sharing a learning environment, VS and GS residents experience training differently, contributing to differential thoughts of attrition. These differences may be attributable to intrinsic features of the integrated training paradigm that are not easily replicated by GS programs, such as smaller program size and higher faculty investment due to early specialization. Alternative strategies to compensate for these inherent differences should be considered (eg, structured operative entrustment programs and faculty incentivization).

Genetic and Environmental Causes of Variation in an Automated Breast Cancer Risk Factor Based on Mammographic Textures.

Cirrus is an automated risk predictor for breast cancer that comprises texture-based mammographic features and is mostly independent of mammographic density. We investigated genetic and environmental variance of variation in Cirrus. We measured Cirrus for 3,195 breast cancer-free participants, including 527 pairs of monozygotic (MZ) twins, 271 pairs of dizygotic (DZ) twins, and 1,599 siblings of twins. Multivariate normal models were used to estimate the variance and familial correlations of age-adjusted Cirrus as a function of age. The classic twin model was expanded to allow the shared environment effects to differ by zygosity. The SNP-based heritability was estimated for a subset of 2,356 participants. There was no evidence that the variance or familial correlations depended on age. The familial correlations were 0.52 (SE, 0.03) for MZ pairs and 0.16(SE, 0.03) for DZ and non-twin sister pairs combined. Shared environmental factors specific to MZ pairs accounted for 20% of the variance. Additive genetic factors accounted for 32% (SE = 5%) of the variance, consistent with the SNP-based heritability of 36% (SE = 16%). Cirrus is substantially familial due to genetic factors and an influence of shared environmental factors that was evident for MZ twin pairs only. The latter could be due to nongenetic factors operating in utero or in early life that are shared by MZ twins. Early-life factors, shared more by MZ pairs than DZ/non-twin sister pairs, could play a role in the variation in Cirrus, consistent with early life being recognized as a critical window of vulnerability to breast carcinogens.