Conectar
by Xiuxin Liu, Yuhui Han, Ruixue Kuang, Wenjiong Sheng, Yan Zhang, Xinyu Jia, Xiaoxiao Gao, Yanchao Ma
DNA damage-induced by radiotherapy is a critical factor in promoting the death of colorectal cancer cells (CRC). Although high mobility group box 1 (HMGB1) reportedly plays a vital role in tumor radioresistance by modulating DNA damage repair, the precise mechanisms remain unclear. In this study, HMGB1 knockdown markedly enhanced cell apoptosis after radiation. HMGB1 downregulation significantly inhibited DNA damage repair and reactive oxygen species (ROS)-mediated redox homeostasis after irradiation in CRC cells. Mechanistically, HMGB1 interacts with KU70 via its region spanning residues 95–163. This interaction subsequently activates the non-homologous end joining (NHEJ) pathway to facilitate DNA damage repair, ultimately leading to reduced radiation-induced cell apoptosis. KU70 silencing showed the same effect as HMGB1 depletion mediated cell apoptosis and DNA damage response both in vitro and in vivo. Additionally, HMGB1 and KU70 were overexpressed in CRC tissues. Analysis of the GEPIA database indicated that elevated levels of both genes showed a trend toward association with poor patient prognosis, although this did not reach statistical significance. The current study revealed that HMGB1 may promote DNA damage repair through KU70 and its mediated NHEJ pathway to affect apoptosis in CRC cells after irradiation. Thus, targeting the HMGB1/KU70/NHEJ axis may be a potential therapeutic target to promote the response of CRC to radiotherapy and in-depth study of the specific mechanism of this axis in CRC radioresistance will help to the develop more effective treatment strategies.by Yue-Zi Hu, Zai-Long Qin, Wen Tang, Zhao-Lan Hu, Ru-Yi Luo
BackgroundThe COVID-19 pandemic has significantly affected healthcare, particularly surgical care. Although short-term effects on surgical outcomes have been examined, understanding of long-term postoperative prognosis and pain management in COVID-19 patients remains limited. This knowledge gap is critical as the pandemic evolves and the need for optimized postoperative care becomes increasingly important.
ObjectiveThe primary objective of this study was to evaluate the impact of COVID-19 infection on postoperative outcomes and pain management in surgical patients. We aimed to assess surgical mortality, complication rates, and postoperative pain levels in COVID-19-positive patients relative to a closely matched control group.
MethodsWe conducted a retrospective cohort study of COVID-19 patients admitted to the ICU following surgery. Data were collected on baseline characteristics, postoperative complications, mortality and pain scores. Univariate and multivariate linear regression models were used to evaluate the impact of COVID-19 infection on postoperative pain. Stratified and interaction analyses were additionally performed to examine the robustness of these associations across subgroups.
ResultsMortality rates and the incidence of sepsis were significantly higher in the COVID-19 cohort. Patients with COVID-19 also experienced longer duration of mechanical ventilation in the ICU and prolonged ICU stays. In the fully adjusted multivariate linear regression model, COVID-19 infection was positively associated with higher postoperative visual analog scale pain scores (β = 1.51; 95% CI: 1.03–1.98; p Conclusions
Surgical intervention in patients with COVID-19 was associated with higher mortality and sepsis rates, longer ICU stays, and increased postoperative pain scores. These findings highlight the need for continued research to optimize surgical care and improve patient outcomes in the evolving post-pandemic era.
by Simon Söderholm, Martin Ulander, Vanessa William Toma, Sara Kaufmann, Xiangyu Qiao, Daniel Berglind, Susanna Calling, Bledar Daka, Ludger Grote, Mats Martinell, Frida Bergman, Pontus Henriksson, Carl-Johan Östgren, Wen Zhong, Claudio Cantù, Fredrik Iredahl
Coffee is the most common drink in the world, second only to water. This makes caffeine, the ingredient of coffee known for its wakefulness-promoting effects, one of the most used psychoactive substances. The psychoactive property of caffeine is well-characterized, and entails its interaction with the adenosine receptors, involved in sleep regulation. While studies have shown a deleterious immediate effect of caffeine on sleep, less is known about the effects of chronic caffeine exposure. In the present cross-sectional study, we investigated this relationship across a large cohort of 30,154 individuals participating in the Swedish Cardiopulmonary Bioimage Study (SCAPIS), which allowed us to compare habitual coffee intake with sleep habits, subjective estimate of daytime sleepiness, and underlying genetic variants. According to our analyses, different degrees of coffee consumption, confirmed by statistical association with previously reported genetic variants, showed very low association with estimated patterns of sleep habits or perceived daytime sleepiness. These results indicate that coffee may be less impactful on sleep habits than previously thought, or that other mechanisms, such as the adaptive capabilities of the adenosine system in adult coffee users, may dampen its psychoactive potency.by Jingwen Ji, Xiangyuan Wu
Heavy metal pollution in coastal agricultural soils poses significant threats to food security, human health, and marine ecosystems. Effective prevention and control require systematic analysis of their spatial distribution and sources. This study integrated geostatistics, principal component analysis (PCA), positive matrix factorization (PMF), and finite mixture modeling (FMM) to comprehensively analyze the spatial variability and sources of five heavy metals (Cr, Pb, Cd, Hg, As) across 877 sampling sites in the coastal area of eastern Zhejiang. The results indicate that overall soil quality is good, though enrichment occurs at some sites due to anthropogenic activities. Pollution displays a spatial pattern of lower levels in the south and higher levels in the north. Pb is widely distributed, while Cd, Hg, and As are concentrated in agricultural plain areas. PMF-based source apportionment revealed that mobile sources (traffic) contributed the most (52.5%), followed by industrial sources (30.4%) and agricultural sources (17.1%). The consistency of multi-model results validated the reliability of source identification. By implementing precise management strategies based on pollution source contributions, it is expected to effectively curb the further deterioration of heavy metal pollution in agricultural soils in Zhejiang Province, gradually improve soil environmental quality, and ensure the safety of agricultural products and the sustainable development of agriculture.by Wenting Yan, Carmel L. Montgomery, Liz Dennett, Stephanie A. Chamberlain
BackgroundThe demographic landscape of Western countries has shifted to a more diverse one. Along with the trend of an aging population, a new problem has emerged, which is the increased linguistic diversity in the aging population in these countries. As people age and their care needs increase, they may not receive optimal care if they don’t speak the same language as their caregivers in long-term care facilities. Culturally and linguistically responsive long-term care services are important to ensure the best care for an aging population, but there is limited evidence in the literature on the scope and practice of these services. The objective of this scoping review is to map out the types of CLR programs in LTC settings and examine their core components and target populations.
MethodsThe Arksey and O’Malley framework, further developed by Levac and colleagues, will be employed in this scoping review. The research question was framed using the PCC framework. A comprehensive systematic search was developed with an experienced librarian and will be conducted in Scopus, CINAHL, Embase, Medline, PsycINFO, and Academic Search Complete. All primary study designs, including quantitative, qualitative, and mixed methods, will be included. Studies must focus on culturally and linguistically responsive care programs used or implemented in long-term care services. There will be no date or language limitations. Findings will be thematically synthesized to answer the research question.
ConclusionThis review protocol provides a transparent process for how it will be conducted. We aim to contribute to a better understanding of what culturally and linguistically responsive care programs exist, how cultural and linguistic responsiveness is currently addressed across diverse care environments, and what gaps remain in long-term care.
by Clarisse Kagoyire, Albert Ndagijimana, Gilbert Nduwayezu, Jean Nepo Utumatwishima, Jean Pierre Mpatswenumugabo, Marie Anne Mukasafari, Diane Rinda, Vedaste Ndahindwa, Kristina Elfving, Gunilla Krantz, Torbjörn Lind, Ali Mansourian, Renée Båge, Ewa Wredle, Elias Nyandwi, Aline Umubyeyi, Jean Baptiste Ndahetuye, Petter Pilesjö
Despite national progress, stunting remains prevalent in specific regions of Rwanda, highlighting the limitations of coarse-resolution data for effective mapping and intervention planning. This study explored optimal spatial resolution and analytical approach to capture localised dynamics and the multifactorial nature of stunting. A cross-sectional, population-based study was conducted in the Northern Province of Rwanda, focusing on children aged 1–36 months. Data were collected using structured questionnaires covering socio-demographic, economic, health, childcare, livestock factors and anthropometric measurements. Environmental characteristics were obtained from national datasets, while household geographic coordinates were captured using a customized mobile geodata platform (emGeo). After data cleaning, predictors were analysed using univariable and multivariable logistic regression as well as geographically weighted logistic regression (GWLR) to account for spatial heterogeneity. Among 601 children, stunting prevalence was 27% (boys 33.8%; girls 20.9%). GWLR improved model fit, increasing adjusted deviance explained from 34% to 39%. Significant predictors included child age (adjusted OR = 2.46; 95% CI: 1.78–3.39), male sex (OR = 2.83; 95% CI: 1.65–4.86), birthweight (OR = 0.71; 95% CI: 0.54–0.94), maternal autonomy (ability to refuse sexual intercourse; OR = 0.48; 95% CI: 0.27–0.86), inconsistent maternal social support (OR = 2.30; 95% CI: 1.20–4.42), household electricity access (OR = 0.48; 95% CI: 0.27–0.84) and handwashing facilities (OR = 0.21; 95% CI: 0.07–0.67). GWLR revealed substantial spatial heterogeneity in these factors, delineating areas where each factor matters most. This household-level, spatially explicit analysis reveals localised risk patterns often masked by aggregated national data. Prioritising context-specific interventions (such as electrification, hygiene promotion, and enhanced maternal social support), can enhance effectiveness. The proposed analytical workflow provides a model for addressing persistent stunting in other resource-limited settings.by Jingwen Gao, Yasushige Shingu, Ryota Azuma, Satoru Wakasa
BackgroundInflammatory response plays a pivotal role in myocardial injury and post-infarction remodeling after acute myocardial infarction (AMI). Mechanical unloading (UL) of the left ventricle (LV) has been proposed as a potential therapeutic strategy to preserve cardiac function; however, its effects on myocardial inflammation remain incompletely understood.
MethodsWe employed a rat model of partial UL using heterotopic heart-lung transplantation following AMI. RNA sequencing (RNA-seq) was performed to evaluate transcriptomic changes, with a specific focus on inflammatory pathways in the non-infarcted remote area. Immune cell abundance was estimated using deconvolution analysis (QUANTISEQ). Quantitative PCR was performed to analyze some inflammatory cytokines, and macrophage polarization was evaluated by immunohistochemistry.
ResultsAMI significantly impaired cardiac function, which was mitigated by UL. RNA-seq analysis revealed marked activation of inflammatory pathways and identified several hub genes involved in cytokine signaling following AMI, while these transcriptional changes were not significantly altered in UL groups after AMI. Immune cell profiling demonstrated an increase in M2 macrophages after AMI, while UL preserved M2 macrophage levels. Histological analysis further supported UL’s modulatory effect on macrophage polarization. Pro-inflammatory cytokines TNFα and IL1β were upregulated after AMI but showed attenuation with UL.
ConclusionPartial UL potentially attenuates cardiac functional deterioration after AMI while exerting substantial effects on inflammatory gene expression and macrophage polarization. These findings suggest that the cardioprotective effects of UL may be correlated with the modulation of inflammatory pathways in the remote area after AMI.
by Peiling Zuo, Huanhuan Zhu, Chunying Sun, Xiaohan Ma, Sheng Chen, Rong Tang, Tong Wu, Ding Zhang, Xiao Tang, Wenquan Lv, Wenzhong Chen, Xiawei Wei, Encun Hou, Minsheng Wu, Minghe Jiang
BackgroundEvidence indicates that the Endothelial Activation and Stress Index (EASIX) is a predictor of mortality in endothelium-related conditions; however, its association with mortality risk in atrial fibrillation (AF) remains uncertain. Accordingly, this study examines the relationship between EASIX and mortality risk among patients with AF.
MethodsThis retrospective analysis utilized data from the Medical Information Marketplace in Intensive Care IV (MIMIC-IV) database, which includes critically ill patients diagnosed with AF. To examine the association between EASIX scores and mortality, Kaplan–Meier survival analysis, Cox proportional hazards models, and restricted cubic spline regression were applied to evaluate the relationship between EASIX and all-cause mortality. Subgroup analyses were conducted to explore potential interactions with key patient characteristics, and sensitivity analyses were performed to further confirm the robustness of the results.
ResultsA total of 3,193 patients were included in the analysis. KM survival analysis showed that elevated EASIX levels were associated with a higher risk of both in-hospital and ICU mortality. After adjusting for potential confounders, increased EASIX levels remained significantly associated with in-hospital mortality [HR, 1.09 (95% CI 1.03, 1.15), P = 0.0002] and ICU mortality [HR, 1.10 (95% CI 1.04, 1.17), P = 0.0002]. Stratified analyses revealed a significant interaction between sepsis, respiratory failure, and EASIX in relation to both in-hospital and ICU mortality. To evaluate the robustness of the findings, a sensitivity analysis was performed. After additionally adjusting for metoprolol and heparin as covariates, patients in the highest EASIX group continued to demonstrate the greatest mortality risk: the HR for in-hospital death was 2.08 (95% CI: 1.51–2.85), and the HR for ICU death was 1.83 (95% CI: 1.21–2.65).
ConclusionElevated EASIX levels correlate with higher mortality rates, underscoring its potential as an accessible tool for identifying high-risk patients and informing clinical decisions. However, further studies are needed to explore the underlying mechanisms and validate its applicability across diverse patient populations.
by Alyssa Howren, Quan L. Tran, Sadaf Sediqi, Saadiya Hawa, Douglas K. Owens, Eleni Linos, Titilola O. Falasinnu, Yashaar Chaichian, Julia F. Simard
BackgroundSystemic lupus erythematosus (SLE) is a heterogeneous autoimmune rheumatic disease whose epidemiology and clinical prognosis vary by race and sex. Observed disparities in SLE may be partly attributable to cognitive processes in clinical decision-making, which can influence diagnostic accuracy and clinical management. We aimed to examine variation in primary care physicians’ (PCP) diagnosis and management of SLE when all content of a clinical case is identical, apart from race and sex.
MethodsWe distributed an online randomized factorial survey from 04/11/2024–06/10/2024 to PCPs across the US. Participants were presented with one of four possible SLE vignettes – Black female, White female, Black male, White male – for which all other clinical content was identical. Block randomization was used to randomly modify the race (Black/White) and sex (female/male) of the SLE “case”. Primary outcomes were correct text-based responses for SLE diagnosis at initial case presentation and after reviewing additional lab results. Secondary outcomes were participants’ review time and planned next steps (treatment, referral, tests) as a proxy for cognitive bias and certainty, respectively. We calculated descriptive statistics for all outcomes stratified by assigned randomized factor and used chi-square tests to evaluate between-group differences.
Results1031 PCPs (42.7% women, mean age 52.1 ± 12.1 years) completed the case. At initial presentation, 63.9% of participants correctly identified SLE as a differential diagnosis. An initial diagnosis of SLE significantly differed by the race and sex of the case (p Conclusion
A patient’s race and sex may influence diagnostic accuracy and clinical decision-making for SLE in primary care. The observed variation in diagnostic accuracy, which aligns with the descriptive epidemiology of SLE, highlights the need for targeted interventions to ensure equitable diagnostic processes.
by Ran Chen, Yan Sun, Wenlin Tai
BackgroundPrimary biliary cholangitis (PBC) is a chronic autoimmune liver disease characterized by cholestasis caused by intrahepatic small bile duct injury. Promoting the molecular mechanism of OTU deubiquitinase 5 (OTUD5) in the treatment of PBC requires further exploration. This study unraveled the molecular underpinnings of PBC through bio-informatics analysis and experimental verification for the development of targeted therapeutic strategies.
MethodsThis study screened immune-related genes and validated their expression patterns in whole blood of patients with PBC using microarray based on GEO datasets. The expression level of OTU deubiquitinase 5 (OTUD5) was validated in peripheral blood samples using RT-qPCR and immunofluorescence. Subsequently, proteomic bioinformatics analyses were conducted utilizing STRING and InBio Discover databases to predict interactions with the mitochondrial antiviral signalling protein (MAVS). Furthermore, immunochemical and immunofluorescence analyses of MAVS expression in liver tissues were conducted with a thorough analysis of immune cell infiltration specific to the disease by utilizing single-cell RNA sequencing (scRNA-seq) technology in peripheral blood mononuclear cells (PBMCs) derived from both patients with PBC and healthy controls.
ResultsCompared with those of healthy controls, the liver tissues of patients with PBC presented increased NK cell activation, monocyte/mast cell numbers, and eosinophil numbers. Compared with those in 10 healthy controls, the expression of OTUD5 and MAVS was increased in 16 tissues of patients with PBC. High expression of OTUD5-MAVS in subpopulation 11 mononuclear macrophages was screened by PBMC scRNA-seq, and mononuclear cells with the subgroup 11 phenotype presented highly differentiated characteristics. The expression of OTUD5 and MAVS was inhibited in RAW264.7 cells when OTUD5 was knocked down (P Conclusion
This study focused on the overexpression of OTUD5 and its interaction with MAVS within macrophage subset 11 in patients with primary biliary cholangitis (PBC). The expression of OTUD5 and MAVS is increased in patients with PBC and is a potential target for the diagnosis and treatment of PBC.
by Minyu Huang, Wengang Jiang
To address the challenges in vehicle detection from unmanned aerial vehicle (UAV) overhead images, such as small object size, low resolution, complex background, and scale variation, this paper proposes several targeted improvements to the YOLOv11n model. Firstly, inspired by the Cross Stage Partial Networks (CSPNet), a Dynamic Multi-Scale Edge Enhancement Network (DMS-EdgeNet) is designed to improve robustness to local target features. This module applies multi-scale pooling to extract edge features at various scales and dynamically fuses them through adaptive weighting. Secondly, the DynaScale Aggregation Network (DySAN) module is introduced into the neck network, and a multi-level jump connections structure is adopted to fuse low-level and high-level boundary semantics, thereby improving the detection capability of fuzzy boundary targets and improving target positioning accuracy under complex imaging conditions. Finally, a P2 small target layer is added to further improve the accuracy of small target detection. Based on these innovations, we propose a new architecture named Dynamic Multi-scale and Channel-scaled YOLO (DMS-YOLO), significantly improve the model’s ability to perceive small targets. Experimental results show that DMS-YOLO improves mAP50 and mAP50-95 by 7.0% and 2.9%, respectively, on the Aerial Traffic Images dataset, and by 5.1% and 3.1% on the VisDrone-DET2019 dataset, demonstrating superior performance over the YOLOv11n baseline.by Chao Feng, Guodong Chen, Yan Shu, Jing Chen, Wenxin Ye, Ligang Ren
IntroductionGiven the high recurrence rate of bladder cancer (BCa) and the significant adverse effects associated with conventional treatments, it is urgent to search for new clinical therapeutic targets and safer natural-derived compounds. Resveratrol (Res) has been demonstrated to exhibit cytotoxicity against various tumors. However, the signaling pathways and targets involved in inhibition of BCa cells still need further exploration. This study aims to investigate the mechanism of Res in Bca via suppression of the AURKA/STAT3 axis, providing important theoretical basis for subsequent further researches on Res for treating BCa.
MethodsDifferentially expressed genes were identified through bioinformatics methods and the binding sites of resveratrol were also identified. The cell survival rate was detected by the CCK8 method to calculate the concentrations of Res for 30% inhibition and for 50% inhibition. Then, flow cytometry was used to detect the cell cycle and apoptosis after treatment with different concentrations of Res. Immunofluorescence staining was used to detect the effects of Res and MLN8237 on the expression of STAT3. Western blot and qPCR analyses were used to verify the reliability of the effects of Res and MLN8237 on target proteins.
ResultsAURKA was identified as the potential target of Res by computational analysis. Further validation through CCK8 assays and flow cytometry demonstrated that Res could inhibit BCa cells and their cell cycle in a time- and dose-dependent manner. Immunofluorescence staining revealed both Res and MLN8237 suppressed STAT3 expression in BCa cells. Additionally, western blot and qPCR analysis confirmed that Res and MLN8237 inhibited the expression of AURKA and known target genes (VEGF, Bcl-2, and Cyclin D1).
ConclusionOur findings suggest that Res may regulate BCa cell expression through the AURKA/STAT3 axis, providing a theoretical foundation for the structural optimization of Res and the development of multi-target drugs for clinical application.
by Chunqing Yang, Qingjie Xue, Yu Feng, Wenjun Ding, Ying Lu, Qinqin Wang
Conventional dendritic cells (cDCs) are pivotal antigen-presenting cells (APCs) with critical roles in immune regulation, yet their subset classification remains ambiguous due to phenotypic overlap with macrophages and monocytes, particularly in the spleen. This study employed multi-parametric flow cytometry and clodronate liposome (CL) depletion to systematically re-evaluate splenic CD11chighMHCIIhigh cDCs in C57BL/6 mice. We identified three novel subsets: (1) a tissue-resident T-cell zone macrophage (TZM)-like population (F4/80inter-lowCX3CR1+MERTK+) constituting 0.59% of cDC2s with >10-fold CL-depletion resistance (p high APC subset (CCR2 ⁻ Ly6C⁻) accounting for 2.7% of cDC2s with CL-sensitivity; (3) unconventional CD4⁺CD8α⁺ hybrids present in 2.57% of cDC2 and some cDC1s. These findings demonstrate unprecedented cDC plasticity driven by microenvironmental signals, revising conventional classification frameworks and proposing new targets for DC-based immunotherapies in autoimmunity and cancer. Our phenotypic mapping provides a foundational framework for future functional investigations into these novel subsets.by Artiom Gruzdev, Wendy N. Jefferson, Thomas B. Hagler, Gregory J. Scott, Manas K. Ray, Ginger W. Muse, Rani S. Sellers, Carmen J. Williams
FVB/N mice, which are commonly used for cancer studies, have accelerated onset of endometrial cancer following developmental estrogenic chemical exposure. These mice also have a polymorphism in the mitochondrial gene, mt-Atp8, leading to increased production of reactive oxygen species. We hypothesized that this polymorphism contributes to the enhanced endometrial cancer phenotype in FVB/N mice. To test this idea, we generated conplastic FVB/N-mt129S6/SvEvTac mice (FVB/N nuclear genome; 129S6/SvEvTac mitochondria: FVB/N-mt129). The impact of 129S6 versus FVB/N mitochondrial genomes on endometrial cancer development following neonatal exposure to the xenoestrogen, diethylstilbestrol, was tested by comparing the cancer phenotypes of FVB/N mice to FVB/N-mt129 mice. There was no difference in cancer incidence regardless of mitochondria source, but cancer grade was higher in the conplastic strain. Additionally, while the FVB/N genetic background is considered non-permissive for generation of pluripotent mouse embryonic stem cells, blastocysts from the conplastic background readily generated mouse embryonic stem cell clones that supported gene editing in culture and subsequently generated germline competent chimeric founder mice. FVB/N-mt129 mice are a potentially powerful resource for generating germline competent embryonic stem cells with an FVB/N nuclear genome and for studying cancer phenotypes.by Wen-Qi Hou, Yu-Xin Li, Ming-Fei Luo, Wen-Ying Zhou, Mai Lu
Due to the diversification of media functions of mobile phones, users can make calls and access the internet simultaneously, which has significantly increased the usage time of mobile phones. The exposure dose of the users in the combined electromagnetic fields (EMF) should be further quantified to better evaluate the public exposure safety. Different from most conventional EMF safety studies that only focus on a single frequency, this work not only discusses the mobile phone simultaneously operated in fourth-generation (4G) and fifth-generation (5G) mobile communications radiation impact on users, but also verifies that the miniaturized mobile phone multiple-input multiple-output (MIMO) antenna array can significantly reduce the specific absorption rate (SAR) absorbed by users. In this article, a miniaturized mobile phone MIMO antenna array is employed as the radiation source, and multi-pose human models are established to simulate the practical utilization of a smartphone. A systematic analysis of the SAR absorbed by the human model is conducted in both single and combined EMF scenarios. The results indicate that the peak SAR in various tissues under multi-frequency exposure is 1.02 to 15.85 times higher than that under single-frequency exposure.by Elizabeth Youens, Dan G. O’Neill, Zoe Belshaw, Johanna Neufuss, Mickey S. Tivers, Rowena M. A. Packer
Extreme conformation and reduced genetic diversity are recognised to lead to severely reduced health, welfare and longevity in certain dog breeds. There is growing interest in applying strategic crossbreeding to promote more moderate conformations and greater genetic diversity within currently problematic breeds. Crossbreeding could therefore lead to more rapid and effective improvements in welfare compared to current practices of within-breed selection. Deliberate crossbreeding between distinct different dog breeds is not a new concept; it was historically commonly used to create the current pure breeds, to increase genetic diversity and to bring new physical and/or temperament traits into existing breeds. However, a recent surge in the popularity of ‘designer crossbreeds’ (intentional crosses between established purebreds) has elicited fresh interest around the potential positives and negatives of crossbreeding practices. Further research on crossbred brachycephalic dogs is urgently required for a greater understanding of the motivators and barriers to their acquisition. An online survey explored factors that motivate dog breed choice and acquisition of both crossbreed and purebred dogs. In addition, the survey used both closed and open questioning to explore the UK public’s perceptions of crossbreeding, specifically (i) between a brachycephalic breed and a non-brachycephalic breed, and (ii) between two non-brachycephalic breeds. Free-text results were analysed using content analysis and subsequently quantified. Results from 4,899 participants identified that key motivators to acquire a brachycephalic crossbreed vs a brachycephalic purebred included perceptions of improved health, including the reduction in risk of breed and conformation-related disorders, and increased genetic diversity. However, the desire to acquire a purebred dog, or even a specific breed, remained a significant barrier to crossbreed acquisition, alongside concerns surrounding the ethics of crossbreeding. Other barriers included perceived negative changes to appearance and temperament of the offspring from crossbreeding. The current study identified a common set of acquisition decision-making factors across all ownership groups, including desiring a dog who the owner perceives to enjoy being loved and to enjoy physical affection, but further demonstrated that good health is of motivational low priority to some dog owners, particularly to owners of purebred brachycephalic dogs. The mix of positive and negative public perceptions and beliefs around crossbreeding and crossbreed dogs demonstrate the need for further research into the health, temperament and appearance of brachycephalic crossbreed dogs. The suitability of crossbreed dogs as an alternative to certain current purebred breeds with high risk of genetic or conformational disorders depends on both public desire and on evidence-based selection of suitable breeds to encourage crosses which maximise canine welfare.by Roberto Germano, Owen Alexander Higgins, Emanuela Cristiani, Alessia Galbusera, Carmen Esposito, Dulce Neves, Carmine Pellegrino, Alessandra Sperduti, Giorgio Manzi, Luca Bondioli, Alessia Nava
This study investigates health, dental development, diet, and human-environment interactions in individuals buried in the necropolises of Pontecagnano (Campania, Italy, 7th-6th century BCE), using an integrated approach merging dental histomorphometry and calculus micro-residue analysis. The sample consists of 30 permanent teeth (canines, first and second molars) from 10 individuals. Histomorphometric analysis of dental thin sections allowed the estimation of crown formation times, initial cusp formation, crown completion, and enamel extension rates. The prevalence of Accentuated Lines, marking physiological stress events, was analyzed chronologically across tooth classes. Dental calculus analysis was performed on five individuals, identifying plant micro-remains and fungal spores. Crown formation times varied by tooth class, with canines forming the longest (mean = 1,977 ± 295 days), followed by second molars (mean = 1,176 ± 179 days) and first molars (mean = 1,094 ± 154 days). Initial cusp formation values, estimated through chronological overlap between teeth, allowed for a more accurate reconstruction of crown completion timing. Accentuated Lines prevalence peaked at 12 and 44 months, likely reflecting early childhood dietary transitions and the differential recording of stress events across different crown regions. Calculus analysis identified starch granules from cereals (Triticeae) and legumes (Fabaceae), fungal spores (Saccharomyces), and plant fibers, indicating diverse dietary practices, food processing, and extra-masticatory activities. This interdisciplinary approach reinforces the validity of combining histomorphometric and micro-residue analyses to reconstruct childhood health, adult diet, and lifestyle. Our findings align with previous research while emphasizing population-specific variations. This study enhances understanding of Iron Age biocultural adaptations, offering insights into developmental and dietary behaviors in this ancient Italian community.by Wendy C. Hernández-Mazariegos, Felipe I. Torres, Manuel Rodríguez, Christian M. Ibáñez, Luis E. Escobar, Federico J. Villatoro
Cockroaches are vectors of pathogens and parasites that pose public health risks, especially in developing countries with poor hygiene and inadequate infrastructure. This study aimed to identify the household factors associated with the occurrence of cockroaches and the helminth parasites they carry in a rural community. Data on household infrastructure, presence of domestic animals, and insect control methods were collected from 70 households in rural Guatemala. Cockroaches were captured using traps and manually. A Generalized Linear Mixed Model revealed that households with concrete roofs had 94% lower abundance of cockroaches than those with metal sheet roofs, while the presence of cats increased cockroach abundance by 2.6 times (p Moniliformis moniliformis, were identified, marking the first report of such parasites in household cockroaches in Guatemala. These results highlight the need for improved housing infrastructure and integrated pest management strategies to mitigate the risks associated with cockroach-borne parasites in vulnerable communities.by Chu-Ying Huang, Wen-Pei Chang
BackgroundDigital tools are increasingly widespread in healthcare, particularly in the fields of emotion recognition and mental health assessment.
ObjectivesThis study evaluated whether an artificial intelligence (AI) voice emotion recognition (VER) app could identify nurses’ emotions and explored its associations with their background and health conditions.
MethodsThe emotions of 349 clinical nurses at a medical center in northern Taiwan were analyzed using an AI VER app and several standardized psychological questionnaires. To control for potential confounding variables, demographic and health-related factors including age, gender, work experience, exercise habits, and history of physical symptoms were collected and statistically adjusted in correlation analyses. Convergent validity was tested with Pearson’s correlations, and test-retest reliability was evaluated in 30 nurses using intraclass correlation coefficients (ICCs).
ResultsSignificant correlations were observed between app-derived emotions and standard scales (anger: Novaco Anger Inventory-Short Form, r = .42; fear: Perceived Stress Scale, r = .41; happiness: Oxford Happiness Questionnaire, r = .45; and sadness: Beck Depression Inventory-II, r = .47; all p p = .025), peptic ulcers predicted greater fear (β = .19, p p = .041), and irregular menstrual cycles predicted lower happiness (β = −.13, p = .014) and greater sadness (β = .30, p Conclusion
Peptic ulcers, irregular menstrual cycles, and lack of exercise were associated with negative emotions such as fear, sadness, and anger. The AI VER app could objectively detect these emotional patterns in nurses, helping to identify emotional fluctuations early and support timely mental healthcare.
by Lei Xiong, Ke Li, Wendy Siuyi Wong
BackgroundDigital media usage has become an integral part of daily life, but prolonged or emotionally driven engagement—especially during late-night hours—may lead to concerns about behavioral and mental health. Existing predictive systems fail to account for the nuanced interplay between users’ internal psychological states and their surrounding ecological contexts.
ObjectiveThis study aims to develop a psychologically and ecologically informed behavior prediction model to identify high-risk patterns of digital media usage and support early-stage intervention strategies.
MethodsWe propose a Dual-Channel Cross-Attention Network (DCCAN) architecture composed of three layers: signal identification (for psychological and ecological encoding), interaction modeling (via cross-modal attention), and behavior prediction. The model was trained and tested on a dataset of 9,782 users and 51,264 behavior sequences, annotated with labels for immersive usage, late-night activity, and susceptibility to health misinformation.
ResultsThe DCCAN model achieved superior performance across all three tasks, especially in immersive usage prediction (F1-score: 0.891, AUC: 0.913), outperforming LSTM, GRU, and XGBoost baselines. Ablation studies confirmed the critical role of both psychological and ecological signals, as well as the effectiveness of the cross-attention mechanism.
ConclusionsIncorporating psychological and ecological modalities through attention-based fusion yields interpretable and accurate predictions for digital risk behaviors. This framework shows promise for scalable, real-time behavioral health monitoring and adaptive content moderation on media platforms.
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