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Integrating psychosocial health services into paediatric surgical specialty care is essential for addressing behavioural and psychological aspects of illness and reducing healthcare disparities. This is crucial for patients facing CHD, who are at higher risk for depression, anxiety, and attention-deficit/hyperactivity disorder, which is significantly influenced by their caregivers’ mental well-being.
Methods:
The Pediatric Psychosocial Preventative Health Model framework was utilised by a psychosocial team to assess biopsychosocial needs in CHD patients during their first cardiac surgery evaluations. Patient and family needs were categorised into universal, targeted, and clinical tiers, allowing for responsive interdisciplinary services. Screening tools such as the Psychosocial Assessment Tool, Pediatric Quality of Life Inventory, and Depression, Anxiety, and Stress Scales were used during initial consultations to guide appropriate interventions and referrals.
Results:
Universal-tier patients received comprehensive support focused on preventive measures, resource access, and education to promote resilience. Targeted-tier care involved intensive, collaborative efforts, providing specialized psychological evaluations, and one-on-one time with experts. Clinical-tier families required specialised, intensive interventions such as advanced cognitive behavioural therapy and medication management. The Pediatric Psychosocial Preventative Health Model framework and psychosocial team workflow allow for individualised management strategies, ensuring that each family received timely and appropriate interventions based on their unique needs.
Conclusion:
Integrating psychosocial services into initial surgical evaluations is critical for addressing CHD patients’ psychological and social needs, promoting an interdisciplinary approach that enhances overall family functioning and well-being.
The macro-social and environmental conditions in which people live, such as the level of a country’s development or inequality, are associated with brain-related disorders. However, the relationship between these systemic environmental factors and the brain remains unclear. We aimed to determine the association between the level of development and inequality of a country and the brain structure of healthy adults.
Methods
We conducted a cross-sectional study pooling brain imaging (T1-based) data from 145 magnetic resonance imaging (MRI) studies in 7,962 healthy adults (4,110 women) in 29 different countries. We used a meta-regression approach to relate the brain structure to the country’s level of development and inequality.
Results
Higher human development was consistently associated with larger hippocampi and more expanded global cortical surface area, particularly in frontal areas. Increased inequality was most consistently associated with smaller hippocampal volume and thinner cortical thickness across the brain.
Conclusions
Our results suggest that the macro-economic conditions of a country are reflected in its inhabitants’ brains and may explain the different incidence of brain disorders across the world. The observed variability of brain structure in health across countries should be considered when developing tools in the field of personalized or precision medicine that are intended to be used across the world.
Maternal ability (milk and environment) in beef cattle is one of the most important traits influencing weaning weight of the calf, but amount and composition of milk produced by the dam is difficult to measure. The assessment of polymorphisms of candidate genes related to milk composition could indirectly enlighten this perspective. In the present study, the frequency of αs1-casein 1175AG and g26181A>G; κ-casein 13068 (CSN3 AB1) and 13104 (CSN3 AB2) loci, β-lactoglobulin variants 3984GA and 5263CT, Diacyl glycerol transferase K232A, and Stearoyl CoA desaturase A702G and A762G polymorphisms were estimated in Gray and Red Brahman, Nellore, Guzerat, Gir, Indubrazil, and Sardo Negro registered sires from Mexico. Most of the documented favourable alleles were found in low frequency in most of the evaluated breeds, except for β-lactoglobulin, in which the presence of favourable alleles might represent an opportunity for marker-assisted introgression. The relevance of the findings for each variation and implications from the outcomes are discussed.
Electronic health records (EHRs), increasingly available in low- and middle-income countries (LMICs), provide an opportunity to study transdiagnostic features of serious mental illness (SMI) and its trajectories.
Aims
Characterise transdiagnostic features and diagnostic trajectories of SMI using an EHR database in an LMIC institution.
Method
We conducted a retrospective cohort study using EHRs from 2005–2022 at Clínica San Juan de Dios Manizales, a specialised mental health facility in Colombia, including 22 447 patients with schizophrenia (SCZ), bipolar disorder (BPD) or severe/recurrent major depressive disorder (MDD). Using diagnostic codes and clinical notes, we analysed the frequency of suicidality and psychosis across diagnoses, patterns of diagnostic switching and the accumulation of comorbidities. Mixed-effect logistic regression was used to identify factors influencing diagnostic stability.
Results
High frequencies of suicidality and psychosis were observed across diagnoses of SCZ, BPD and MDD. Most patients (64%) received multiple diagnoses over time, including switches between primary SMI diagnoses (19%), diagnostic comorbidities (30%) or both (15%). Predictors of diagnostic switching included mentions of delusions (odds ratio = 1.47, 95% CI 1.34–1.61), prior diagnostic switching (odds ratio = 4.01, 95% CI 3.7–4.34) and time in treatment, independent of age (log of visit number; odds ratio = 0.57, 95% CI 0.54–0.61). Over 80% of patients reached diagnostic stability within 6 years of their first record.
Conclusions
Integrating structured and unstructured EHR data reveals transdiagnostic patterns in SMI and predictors of disease trajectories, highlighting the potential of EHR-based tools for research and precision psychiatry in LMICs.
Climbing aroids, despite their abundance in tropical forests, remain underexplored. This study is focused on species richness, abundance, density, and distribution patterns of climbing aroid community in a lowland rainforest in Los Tuxtlas, Veracruz, Mexico. Over two years, two censuses were conducted across 14 plots, recording 12 aroid species from five genera and their potential hosts. Ontogenetic classes were defined and validated, showing a positive correlation between total plant length/apex height and ontogenetic stage, indicating distinct growth phases. Host size (DBH) was significant predictor of the establishment probability across ontogenetic classes. Vertical distribution varied significantly among species, ranging from Philodendron hederaceum (7 m) to Anthurium flexile (0.88 m), with some species predominantly distributed on specific host sizes. Tree falls impacted specific species. Although limitations, including a short study period, restrict broader generalizations, this research establishes a foundational understanding of climbing aroid ecology and underscores the need for standardized methods and long-term monitoring to elucidate their population dynamics and ecological strategies.
Cardiac catheterisation in the postoperative period emerges as a primary tool, providing effectiveness and safety in diagnosis, treatment guidance, and resolution of major residual lesions.
Materials and methods:
This is a retrospective case-control study. We collected the clinical records of patients who underwent cardiac catheterisation between January 2003 and December 2022 within the initial 72 hours after surgery in the pediatric cardiac ICU of a national referral hospital in Mexico City. Descriptive, univariate, and multivariate analyses were performed.
Results:
A total of 6,243 surgeries were performed, of which 264 were cardiac catheterizations carried out within the first 72 hours of the postoperative period;these included 73 diagnostic procedures and 191 interventional procedures. One hundred and thirty-five (135) catheterisations targeted recent suture intervention sites. The primary indications for cardiac catheterisation included low cardiac output and the suspicion of major residual lesions. Approximately 65% of interventions occurred within the first 24 hours and solved 426 residual lesions. No significant associations were found between mortality, complications, and the need for surgical reintervention in patients who underwent interventional catheterisation at recent suture sites (OR 1.93;95% CI:0.94–4.07:p = 0.076). Seventeen patients (17) were extubated in the initial 24 hours post-catheterisation. Two major complications were identified: rupture of the systemic-to-pulmonary shunt in the anastomosis, and a pulmonary artery laceration requiring emergency surgery. One patient died.
Conclusion:
Cardiac catheterisation has evolved into a vital instrument to diagnose and resolve abnormalities and significant residual lesions without increasing the morbidity and mortality risks.
We introduce a versatile high-repetition-rate solid tape target system suitable for relativistic laser-plasma driven secondary sources. We demonstrate the operation and stability monitoring based on a petawatt laser focused at 1 Hz. Experiments were carried out at the VEGA-3 laser system of the Centro de Láseres Pulsados facility where results for different tape materials and thicknesses are presented. Experimental proton spectra were recorded by a Thomson parabola spectrometer and a time-of-flight detector. In addition, non-invasive detectors, such as a target charging monitor and ionization chamber detectors, were tested as metrology for the stability of the source. Degradation of the proton signal at high-repetition-rate operation was observed and it was solved by online optimization of the relative focus position of the target and laser beam parameters. We report the use of the tape target for bursts of 1000 shots at 1 Hz with mean cut-off energies of about 10 MeV in optimized interaction conditions.
Citizen science is becoming very useful in surveying and monitoring biodiversity. Within the European Union LIFE medCLIFFS project, a network of volunteers has been established for the detection and long-term monitoring of invasive plant species that threaten the endemic flora of Mediterranean cliffs in northeastern Spain. Through iNaturalist, volunteers record various data along a series of 1-km transects. Based on the ca. 700 observations collected by volunteers in 2023 (the first year of the project), a simple and visually attractive methodology for assessing the recorded populations has been developed. This method classifies populations into one of three population dynamics categories: (1) propagative behavior (i.e., populations with seedlings or young plants but lacking senescent or dead individuals); (2) senescent behavior (i.e., showing senescent/dead plants but lacking seedlings/juveniles); and (3) a mixed behavior (i.e., containing both). This methodology, whose outputs are easily interpretable as heat maps, allows the collection of large datasets on invasive plants by citizen scientists, with two main purposes: (1) knowing which species are most concerning based on simple, straightforward observations of their population dynamics; and (2) identifying which regions of the study area are more problematic and where management efforts should therefore be directed.
This manuscript showcases the latest advancements in deepImageJ, a pivotal Fiji/ImageJ plugin for bioimage analysis in life sciences. The plugin, known for its user-friendly interface, facilitates the application of diverse pre-trained convolutional neural networks to custom data. The manuscript demonstrates several deepImageJ capabilities, particularly in deploying complex pipelines, three-dimensional (3D) image analysis, and processing large images. A key development is the integration of the Java Deep Learning Library, expanding deepImageJ’s compatibility with various deep learning (DL) frameworks, including TensorFlow, PyTorch, and ONNX. This allows for running multiple engines within a single Fiji/ImageJ instance, streamlining complex bioimage analysis workflows. The manuscript details three case studies to demonstrate these capabilities. The first case study explores integrated image-to-image translation followed by nuclei segmentation. The second case study focuses on 3D nuclei segmentation. The third case study showcases large image volume segmentation and compatibility with the BioImage Model Zoo. These use cases underscore deepImageJ’s versatility and power to make advanced DLmore accessible and efficient for bioimage analysis. The new developments within deepImageJ seek to provide a more flexible and enriched user-friendly framework to enable next-generation image processing in life science.
The population of adults with single-ventricle congenital heart disease (CHD) is growing. This study explores their lived experiences through an adult developmental psychology framework.
Methods:
Individuals aged 18 and older with single-ventricle CHD participated in Experience Group sessions and 1:1 interviews. Sessions were transcribed and analysed thematically. Themes were categorized by developmental domains and age group.
Results:
Of the 29 participants, 18 (62%) were female, 10 (35%) were emerging (18–29 years), 13 (45%) were established (30–45 years), and 6 (21%) were midlife adults (46–60 years). Emerging adults expressed reluctance to initiate romantic relationships and fear of burdening partners, while established adults reported strong relationships with partners deeply involved in caregiving. Emerging adults struggled with finding fulfilling work that meets their health needs, whereas established and midlife adults faced unemployment or early retirement due to health limits. Family dynamics shifted, with established and midlife adults educating their children to become caregivers. Physical limitations and low self-rated health were consistent across life stages, and midlife adults did not worry about traditional chronic conditions. Mental health concerns, including anxiety and depression, persisted across all life stages, but resiliency and positive affect were also evident.
Conclusion:
Adults with single-ventricle CHD experience developmental milestones differently, indicating the need for early anticipatory guidance in these domains to achieve optimal outcomes in adulthood.
The aim of this study was to compare the levels of reactive oxygen species (ROS) in Bos taurus and Bos indicus in vitro embryos cryopreserved using either slow freezing or vitrification. Embryos were divided into four groups based on subspecies and freezing method: Bos indicus slow freezing (BiSF; n = 8), Bos indicus vitrification (BiVT; n = 10), Bos taurus slow freezing (BtSF; n = 9), and Bos taurus vitrification (BtVT; n = 6). After thawing, the embryos were incubated with CellRox Green and images were obtained using a confocal microscope. The fluorescence intensity of each cell was measured and expressed as arbitrary units of fluorescence (auf) and compared using a multiple regression and unpaired t-test with α = 0.05. Results showed that subspecies and the freezing method significantly affected auf (P < 0.001; R2 = 0.1213). Bos indicus embryos had higher auf than Bos taurus embryos, whether frozen by slow freezing (67.05 ± 23.18 vs 51.30 ± 16.84, P < 0.001) or vitrification (64.44 ± 23.32 vs 47.86 ± 17.53, P < 0.001). Slow freezing induced higher auf than vitrification in both Bos taurus (51.30 ± 16.84 vs 47.86 ± 17.53, P < 0.001) and Bos indicus (67.05 ± 23.18 vs 64.44 ± 23.32, P < 0.014). In conclusion, Bos taurus embryos had lower ROS levels when frozen using vitrification, while Bos indicus embryos had consistent ROS patterns regardless of the freezing method. However, Bos indicus embryos frozen by slow freezing tended to have a higher number of cells with elevated ROS levels.
To examine whether objective sleep parameters are associated with cognitive function (CF) in patients with major depressive disorder (MDD) with chronic insomnia (CI) and whether the severity of these disorders is related to CF.
Method
Thirty patients with MDD with CI attending a tertiary care institution underwent two consecutive nights of polysomnographic (PSG) recording and a battery of neuropsychological tests, which included episodic memory, sustained attention, working memory, and executive function. The severity of MDD and CI was assessed by clinical scales. We examined the relationship between PSG parameters and CF, as well as whether the severity of the disorders is related to CF.
Results
Linear regression analysis revealed that total sleep time (TST) was positively associated with higher learning and recall of episodic memory, as well as better attention. Slow-wave sleep (SWS) showed a positive association with better working memory. Furthermore, wake after sleep onset (WASO) was negatively associated with episodic memory and lower attention. No significant relationships were found between the severity of MDD or CI with CF.
Conclusion
Both sleep duration and depth are positively associated with several aspects of CF in patients with MDD with CI. Conversely, a lack of sleep maintenance is negatively related to CF in these patients. These findings could help identify modifiable therapeutic targets to reduce CF impairment.
Few studies have examined the psychometric properties of the Connor-Davidson Resilience Scale (CD-RISC) in a large adolescent community sample, finding a significant disparity. This study explores the psychometric properties of the CD-RISC among Spanish adolescents by means of exploratory factor analysis (EFA), Rasch analysis, and measurement invariance (MI) across sex, as well as internal consistency and criterion validity. The sample was comprised of 463 adolescents (231 girls), aged 12 to 18 years, who completed the CD-RISC and other measures on emotional status and quality of life. The EFA suggested that the CD-RISC structure presented a unidimensional model. Consequently, shorter unidimensional CD-RISC models observed in the literature were explored. Thus, the Campbell-Sills and Stein CD–RISC–10 showed the soundest psychometric properties, providing an adequate item fit and supporting MI and non-differential item functioning across sex. Item difficulty levels were biased toward low levels of resilience. Some items showed malfunctioning in lower response categories. With regard to reliability, categorical omega was. 82. Strong associations with health-related quality of life, major depressive disorder symptoms, and emotional symptoms were observed. A weak association was found between resilience and the male sex. Campbell-Sills and Stein’s CD–RISC–10 model emerges as the best to assess resilience among Spanish adolescents, as already reported in adults. Thus, independently of the developmental stage, the core of resilience may reside in the aspects of hardiness and persistence.
There is limited information on the antibody responses against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in subjects from developing countries with populations having a high incidence of co-morbidities. Here, we analysed the immunogenicity of homologous schemes using the ChAdOx1-S, Sputnik V, or BNT162b2 vaccines and the effect of a booster dose with ChAdOx1-S in middle-aged adults who were seropositive or seronegative to the SARS-CoV-2 spike protein before vaccination. The study was conducted post-vaccination with a follow-up of 4 months for antibody titre using enzyme-linked immunosorbent assay (ELISA) and pseudovirus (PV) neutralization assays (PNAs). All three vaccines elicited a superior IgG anti-receptor-binding domain (RBD) and neutralization response against the Alpha and Delta variants when administered to individuals with a previous infection by SARS-CoV-2. The booster dose spiked the neutralization activity among individuals with and without a prior SARS-CoV-2 infection. The ChAdOx1-S vaccine induced weaker antibody responses in infection-naive subjects. A follow-up of 4 months post-vaccination showed a drop in antibody titre, with about 20% of the infection-naive and 100% of SARS-CoV-2 pre-exposed participants with detectable neutralization capacity against Alpha pseudovirus (Alpha-PV) and Delta PV (Delta-PV). Our observations support the use of different vaccines in a country with high seroprevalence at the vaccination time.
Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) are widely recognised as two prevalent sexually transmitted infections that can have detrimental effects on women’s reproductive health. Previous research has concentrated on studying high-risk populations, resulting in limited epidemiological data regarding the general population. Therefore, the objective of this study was to estimate the prevalence of CT and NG among women attending public primary health care in Tlaxcala, Mexico. The study sample included 2,396 women already participating in the cervical cancer screening programme, from July to November 2014. After obtaining informed consent, the CT and NG tests were conducted on cervical samples, using a nucleic acid amplification test. We estimate the prevalence with 95% confidence intervals (CIs). Women who tested positive were promptly notified and provided with appropriate treatment. In our study population, CT and NG prevalences were 3.2 (95% CI: 2.6–4.0) and 0.01 (95% CI: 0.01–0.03), respectively. CT prevalence was higher in younger women (age < 40), although the results indicate a low prevalence; due to the potentially significant impact of CT and NG on women’s health, we require adequate surveillance, and guaranteeing rapid referral to the correct treatment is a priority for the control of these diseases.
Few published studies exist documenting banana pepper tolerance to clomazone. Therefore, field trials were conducted in 2022 at two Indiana locations [Meigs Horticulture Research Farm and the Pinney Purdue Agricultural Center (PPAC)] to evaluate crop safety in plasticulture-grown banana pepper. The experimental design was a split-plot in which the main plot factor was the clomazone rate (0, 840, and 1,680 g ai ha–1) and the subplot factor was cultivar (‘Pageant’ and ‘Sweet Sunset’). Clomazone was applied over the top of black polyethylene mulch-covered raised beds and their respective bare-ground row middles 1 d prior to transplanting 12 pepper plants per subplot. Data collected included crop injury on a scale from 0% (no injury) to 100% (crop death) at 2, 4, and 6 wk after treatment (WAT), and plant stand. Two harvests were performed in which mature fruits were counted and weighed. Injury presented as interveinal bleaching only at PPAC 2 and 4 WAT. At this location 1,680 g ha–1 clomazone resulted in greater injury to ‘Sweet Sunset’ at 2 and 4 WAT (53% and 15%, respectively) than to ‘Pageant’ (19% and 3%, respectively); however, plant stand and yield were not affected by either clomazone rate. These results suggest that the clomazone rate range currently used for bell pepper (280 to 1,120 g ai ha–1) can be applied prior to transplanting plasticulture-grown banana pepper with minimal crop injury and without reducing yield.
Current live-cell imaging techniques make possible the observation of live events and the acquisition of large datasets to characterize the different parameters of the visualized events. They provide new insights into the dynamics of biological processes with unprecedented spatial and temporal resolutions. Here we describe the implementation and application of a new tool called TrackAnalyzer, accessible from Fiji and ImageJ. Our tool allows running semi-automated single-particle tracking (SPT) and subsequent motion classification, as well as quantitative analysis of diffusion and intensity for selected tracks relying on the graphical user interface (GUI) for large sets of temporal images (X–Y–T or X–Y–C–T dimensions). TrackAnalyzer also allows 3D visualization of the results as overlays of either spots, cells or end-tracks over time, along with corresponding feature extraction and further classification according to user criteria. Our analysis workflow automates the following steps: (1) spot or cell detection and filtering, (2) construction of tracks, (3) track classification and analysis (diffusion and chemotaxis), and (4) detailed analysis and visualization of all the outputs along the pipeline. All these analyses are automated and can be run in batch mode for a set of similar acquisitions.
The coronavirus disease 2019 (COVID-19) has serious physiological and psychological consequences. The long-term (>12 weeks post-infection) impact of COVID-19 on mental health, specifically in older adults, is unclear. We longitudinally assessed the association of COVID-19 with depression symptomatology in community-dwelling older adults with metabolic syndrome within the framework of the PREDIMED-Plus cohort.
Methods
Participants (n = 5486) aged 55–75 years were included in this longitudinal cohort. COVID-19 status (positive/negative) determined by tests (e.g. polymerase chain reaction severe acute respiratory syndrome coronavirus 2, IgG) was confirmed via event adjudication (410 cases). Pre- and post-COVID-19 depressive symptomatology was ascertained from annual assessments conducted using a validated 21-item Spanish Beck Depression Inventory-II (BDI-II). Multivariable linear and logistic regression models assessed the association between COVID-19 and depression symptomatology.
Results
COVID-19 in older adults was associated with higher post-COVID-19 BDI-II scores measured at a median (interquartile range) of 29 (15–40) weeks post-infection [fully adjusted β = 0.65 points, 95% confidence interval (CI) 0.15–1.15; p = 0.011]. This association was particularly prominent in women (β = 1.38 points, 95% CI 0.44–2.33, p = 0.004). COVID-19 was associated with 62% increased odds of elevated depression risk (BDI-II ≥ 14) post-COVID-19 when adjusted for confounders (odds ratio; 95% CI 1.13–2.30, p = 0.008).
Conclusions
COVID-19 was associated with long-term depression risk in older adults with overweight/obesity and metabolic syndrome, particularly in women. Thus, long-term evaluations of the impact of COVID-19 on mental health and preventive public health initiatives are warranted in older adults.
Ultrafast laser pulses provide unique tools to manipulate magnetization dynamics at femtosecond timescales, where the interaction of the electric field usually dominates over the magnetic field. Recent proposals using structured laser beams have demonstrated the possibility to produce regions where intense oscillating magnetic fields are isolated from the electric field. In these conditions, we show that technologically feasible tesla-scale circularly polarized high-frequency magnetic fields induce purely precessional nonlinear magnetization dynamics. This fundamental result not only opens an avenue in the study of laser-induced ultrafast magnetization dynamics, but also sustains technological implications as a route to promote all-optical non-thermal magnetization dynamics both at shorter timescales – towards the sub-femtosecond regime – and at THz frequencies.