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ABSTRACT: The jumping-to-conclusions bias has not been examined in a new religious movement (NRM) group. Twenty-seven delusion-prone NRM individuals were compared with 25 individuals with psychotic disorders and 63 non-delusion-prone individuals on four probabilistic inference tasks, together with measures of psychotic symptoms and delusion proneness. The NRM individuals requested significantly less evidence when compared with the control individuals on both meaningful and nonmeaningful tasks. The NRM individuals requested significantly more evidence on a difficult meaningful task when compared with the individuals with psychotic disorders. A specific reasoning style but not a general reasoning style differentiates the NRM individuals from the individuals with psychotic disorders. These findings may be specific to NRM individuals and may not be generalized to other delusion-prone groups. [ABSTRACT FROM AUTHOR]

The aim of our study was to compare the use of the Orthopilot Navigation system with conventional non-navigation technique for medial UKA with respect to the intraoperative mechanical limb alignment measurements and correlation with the postoperative radiological measurements. The postoperative mechanical limb alignment axes of 51 consecutive medial unicompartmental knee arthroplasty performed by a single surgeon over a 12-month period were measured. The cases were randomly assigned to two groups of which 21 cases were performed using conventional non-navigation based technique and 30 cases were performed using the Orthopilot Navigation System. Computed tomography (CT) scanogram was performed for all cases within the same hospitalization stay to assess the postoperative mechanical limb alignment. Our results showed that the non-navigated group had a more neutral mechanical axis with a narrower range compared to the navigation assisted group. The difference in the mean mechanical axis between the two groups was statistically not significant. There was poor correlation between the intraoperative navigation system measurements and the postoperative radiological measurements. In conclusion, the use of computer navigation in UKA is not as well validated as compared to TKA. We did not demonstrate any improvement in postoperative axial limb alignment measurement in using a computer navigation system compared to conventional non-navigation technique. [ABSTRACT FROM AUTHOR]

The aim of this study is to define the topographical relationship of the anatomical bundles of the human anterior cruciate ligament's (ACL) stump over the tibial insertion site. Between January and April 2007, a total of 36 resected tibial plateaus were retrieved from patients who underwent total knee replacements. These samples had intact cruciate ligaments with no major osteophyte around the ACL tibial insertion footprint. The anatomical bundles of the ACL were identified and mapped, based on the topographical relationship over the tibial insertion footprint. Measurements of the dimensions of the ACL tibial footprint and tibial plateau were performed. The mean width and midsagittal depth of the tibia plateau was 78.7 +/- 6.5 and 46.4 +/- 5.0 mm, respectively. The mean width and midsagittal depth of the ACL tibial footprint was 10.3 +/- 1.9 and 19.5 +/- 2.6 mm, respectively. Out of the 36 freshly dissected ACL stumps, it was not possible to distinguish separate bundles in 14 (38.9%) cases. The average distance between the centers of the two bundles was 9.3 +/- 1.8 mm. The mean AP alignment of the tibial footprint was 89.6 degrees +/- 26.4 degrees , with a very wide range of 23 degrees -158 degrees . Of the 22 specimens with separate anatomical bundles, the alignment of the tibial footprint was AM-PL in six (27.3%), sagittal (85 degrees -95 degrees ) in five (22.7), AL-PM in nine (40.9%), and lateral-medial (L-M) in two (9.1%) cases. This study provides new information about the topographical anatomy of the ACL tibial insertion footprint. Based on gross anatomy, separate anatomical bundles of the ACL can be distinguished in 61.1% [22] of the specimens. The topographical alignment of the separate bundles is varied on a very wide range. [ABSTRACT FROM AUTHOR]

On-scene resuscitation time is associated with out-of-hospital cardiac arrest (OHCA) outcomes. We developed and validated reinforcement learning models for individualized on-scene resuscitation times, leveraging nationwide Korean data. Adult OHCA patients with a medical cause of arrest were included (N = 73,905). The optimal policy was derived from conservative Q-learning to maximize survival. The on-scene return of spontaneous circulation hazard rates estimated from the Random Survival Forest were used as intermediate rewards to handle sparse rewards, while patients' historical survival was reflected in the terminal rewards. The optimal policy increased the survival to hospital discharge rate from 9.6% to 12.5% (95% CI: 12.2-12.8) and the good neurological recovery rate from 5.4% to 7.5% (95% CI: 7.3-7.7). The recommended maximum on-scene resuscitation times for patients demonstrated a bimodal distribution, varying with patient, emergency medical services, and OHCA characteristics. Our survival analysis-based approach generates explainable rewards, reducing subjectivity in reinforcement learning., (© 2024. The Author(s).)

Background: Previous studies have suggested that employment insecurity is associated with adverse health outcomes. We explored the association between temporary employment and smoking behaviors., Methods: We analyzed 11,795 workers (51,867 observations) from the Korea Health Panel Study (2009-2018). Employment types were categorized as regular, fixed-term, or daily, based on the duration of labor contract. The outcomes were current smoking status and changes in smoking behavior (initiation or cessation) in the following year. Generalized estimating equations were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs)., Results: The proportions of fixed-term and daily workers were 41.2% and 16.4% for women and 23.6% and 12.4% for men, respectively. Temporary employment was associated with increased odds of current smoking, while also demonstrating prospective associations with changes in smoking behaviors. For instance, in prospective analyses, male workers with fixed-term and daily employments were associated with a decreased likelihood of smoking cessation (OR 0.77; 95% CI, 0.65-0.91 for fixed-term employment and OR 0.66; 95% CI, 0.52-0.83 for daily employment) in the following year compared to those with regular employment. Moreover, those experiencing consecutive temporary employment was most inversely associated with smoking cessation in both men (OR 0.56; 95% CI, 0.44-0.71) and women (OR 0.37; 95% CI, 0.16-0.85) compared to those experiencing consecutive regular employment. However, no clear association between temporary employment and smoking initiation was observed in both men and women., Conclusion: Temporary employment is directly associated with current smoking and inversely associated with smoking cessation. Policies are needed to improve job insecurity among temporary employees.

Tumor draining lymph nodes (TDLN) represent a key component of the tumor-immunity cycle. There are few studies describing how TDLNs impact lymphocyte infiltration into tumors. Here we directly compare tumor-free TDLNs draining "cold" and "hot" human triple negative breast cancers (TDLN Cold and TDLN Hot ). Using machine-learning-based self-correlation analysis of immune gene expression, we find unbalanced intranodal regulations within TDLN Cold . Two gene pairs (TBX21/GATA3-CXCR1) with opposite correlations suggest preferential priming of T helper 2 (Th2) cells by mature dendritic cells (DC) within TDLN Cold . This is validated by multiplex immunofluorescent staining, identifying more mature-DC-Th2 spatial clusters within TDLN Cold versus TDLN Hot . Associated with this Th2 priming preference, more IL4 producing mast cells (MC) are found within sinus regions of TDLN Cold . Downstream, Th2-associated fibrotic TME is found in paired cold tumors with increased Th2/T-helper-1-cell (Th1) ratio, upregulated fibrosis growth factors, and stromal enrichment of cancer associated fibroblasts. These findings are further confirmed in a validation cohort and public genomic data. Our results reveal a potential role of IL4 + MCs within TDLNs, associated with Th2 polarization and reduced immune infiltration into tumors., (© 2024. The Author(s).)

Community assembly provides the foundation for applications in biodiversity conservation, climate change, invasion, restoration and synthetic ecology. However, predicting and prioritising assembly outcomes remains difficult. We address this challenge via a mechanism-free approach useful when little data or knowledge exist (LOVE; Learning Outcomes Via Experiments). We carry out assembly experiments ('actions', here, random combinations of species additions) potentially in multiple environments, wait, and measure abundance outcomes. We then train a model to predict outcomes of novel actions or prioritise actions that would yield the most desirable outcomes. Across 10 single- and multi-environment datasets, when trained on 89 randomly selected actions, LOVE predicts outcomes with 0.5%-3.4% mean error, and prioritises actions for maximising richness, maximising abundance, or removing unwanted species, with 94%-99% mean true positive rate and 10%-84% mean true negative rate across tasks. LOVE complements existing mechanism-first approaches for community ecology and may help address numerous applied challenges., (© 2024 The Author(s). Ecology Letters published by John Wiley & Sons Ltd.)

Background: This study aimed to identify patterns of overall, team, and individual sport participation and examine the prospective associations between these patterns and loneliness in young people., Methods: We analyzed data from 4241 young people, from waves 3 (8-9 y) to 9 (20-21 y) of the Longitudinal Study of Australian Children. We conducted latent class analyses to identify overall and team versus individual sport participation trajectories and used adjusted log-Poisson regression models to examine the associations between these trajectories and loneliness at wave 9., Results: Latent class analyses identified 4 distinct overall sport participation classes which were labeled: nonparticipants (24%), dropouts (42%), initiators (7%), and consistent participants (27%). Compared with nonparticipants, consistent participants had a lower risk of loneliness (risk ratios = 0.69; 95% CIs, 0.59-0.81). Latent class analyses also identified 4 distinct team versus individual sport participation classes: team and individual sport nonparticipants (38%), individual sport participants (14%), moderate team sport participants (14%), and high team sport participants (34%). Compared with the team and individual sport nonparticipants, the high team sports participants had a lower risk of loneliness (risk ratios = 0.70; 95% CIs, 0.53-0.92)., Conclusions: Young people who continued participating in sport in general, and particularly in team sport, had a reduced risk of loneliness. Continued participation in sports should be promoted to improve a range of physical, mental, and social health benefits. Furthermore, team-based sport can provide additional health and well-being benefits, including reduced loneliness due to the group nature of participation.

Neurodegenerative disorders (NDDs) are a class of debilitating diseases that progressively impair the protein structure and result in neurological dysfunction in the nervous system. Among these disorders, Alzheimer's disease (AD), prion diseases such as Creutzfeldt-Jakob disease (CJD), and Parkinson's disease (PD) are caused by protein misfolding and aggregation at the cellular level. In recent years, transition metal complexes have gained significant attention for their potential applications in diagnosing, imaging, and curing these NDDs. These complexes have intriguing possibilities as therapeutics due to their diverse ligand systems and chemical properties and can interact with biological systems with minimal detrimental effects. This review focuses on the recent progress in transition metal therapeutics as a new era of hope in the battle against AD, CJD, and PD by modulating protein aggregation in vitro and in vivo. It may shed revolutionary insights into unlocking new opportunities for researchers to develop metal-based drugs to combat NDDs., (© 2024 Wiley‐VCH GmbH.)

Purpose: Loneliness and social isolation are risk factors for poor health, but few effective interventions are deployable at scale. This study was conducted to determine whether acts of kindness can reduce loneliness and social isolation, improve mental health, and neighbourhood social cohesion., Method: Three randomized controlled trials (RCTs) were conducted in the USA, UK, and Australia, involving a total of 4284 individuals aged 18-90 years old, randomized to the KIND challenge intervention or a waitlist control group. Participants allocated to the intervention were asked to do at least one act of kindness per week within a four-week period. The primary outcome was loneliness and secondary outcomes included measures of social isolation, mental health, and neighbourhood social cohesion., Results: There was a significant, albeit small, intervention effect after four weeks for reduced loneliness in the USA and the UK, but not for Australia. Relative to controls, KIND challenge participants also showed significantly reduced social isolation and social anxiety in the USA, and reduced stress in Australia. There was also reduced neighbourhood conflict in the USA, increased number of neighbourhood contacts in the USA and Australia, greater neighbourhood stability and feelings of neighbourhood importance in the UK, and better neighbourhood social relationships in Australia., Conclusion: Promoting the provision of social support through small acts of kindness to neighbours has the potential to reduce loneliness, social isolation and social anxiety, and promote neighbourhood relationships, suggesting a potential strategy for public health campaigns., Trial Registration: Clinical Trials Registry. NCT04398472. Registered 21 st May 2020., (© 2024. The Author(s).)

Background: Cross-sectional studies show associations between loneliness, social isolation and physical inactivity. Cohort studies are shedding light on these relationships and further longitudinal investigations are needed., Purpose: This study aimed to assess the longitudinal and bidirectional associations between loneliness, social isolation, and physical inactivity., Methods: Data were drawn from five annual waves of the Household and Labour Dynamics of Australia Survey (2015-2019), providing a sample of 17,303 persons (mean age = 46.3 years [SD = 18.0], 49.4% female). Relationships between loneliness, social isolation, and physical inactivity were examined using cross-lagged panel modeling, with estimation of simultaneous cross-lagged effects across each wave. Models adjusted for sociodemographic factors, chronic disease status, psychological distress, and mutually for social isolation or loneliness. Moderation of associations by sex was explored., Results: There were modest lagged effects of physical inactivity on loneliness across the survey waves (odds ratio 1.16 [95% confidence interval 1.04-1.29] to 1.20 [1.07, 1.33]). A lagged effect of physical inactivity upon social isolation was only present across three of the waves (odds ratio 1.20 [1.02-1.41] to 1.23 [1.05-1.42]). While loneliness and social isolation showed lagged effects upon physical inactivity, these did not persist with adjustment for psychological distress., Conclusions: Longitudinal analysis found that physical inactivity consistently predicted loneliness, but not social isolation. After adjustment for confounding, loneliness and social isolation were not predictive of physical inactivity. While the strength of the associations was modest, further investigation is warranted of the type and dose of physical activity that is most beneficial for reducing loneliness., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Background: Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT., Methods: This study used data from the 5th and 6th Korean Working Conditions Surveys conducted in 2017 and 2020, respectively. A total of 99,665 survey participants, who were nationally representative of Korean workers, were included. We used natural language responses regarding their job responsibilities and occupational codes based on the Korean Standard Classification of Occupations (7th version, 3-digit codes). The dataset was randomly split into training and test datasets in a ratio of 7:3. The occupation classification model based on DistilKoBERT was fine-tuned using the training dataset, and the model was evaluated using the test dataset. The accuracy, precision, recall, and F1 score were calculated as evaluation metrics., Results: The final model, which classified 28,996 survey participants in the test dataset into 142 occupational codes, exhibited an accuracy of 84.44%. For the evaluation metrics, the precision, recall, and F1 score of the model, calculated by weighting based on the sample size, were 0.83, 0.84, and 0.83, respectively. The model demonstrated high precision in the classification of service and sales workers yet exhibited low precision in the classification of managers. In addition, it displayed high precision in classifying occupations prominently represented in the training dataset., Conclusions: This study developed an occupation classification system based on DistilKoBERT, which demonstrated reasonable performance. Despite further efforts to enhance the classification accuracy, this automated occupation classification model holds promise for advancing epidemiological studies in the fields of occupational safety and health., Competing Interests: Competing interests: The authors declare that they have no competing interests., (Copyright © 2024 Korean Society of Occupational & Environmental Medicine.)

Purpose: This study aimed to reveal the relationship of the days of experiencing sickness presentism and depressive symptoms among Korean workers. Sickness presenteeism which defined as the act of going to work despite being feeling unhealthy triggers various adverse effects on mental health, including increased risks of depression. Furthermore, Sickness presenteeism is a major social issue causing substantial socioeconomic costs., Methods: The data of 25120 participants from sixth Korean Working Condition Survey was utilized in this cross-sectional study. Sickness presenteeism was defined using a self-reported questionnaire and depressive symptoms were assessed by WHO well-being index. Multivariate logistic regression analysis was conducted to calculate the odd ratios for depressive symptoms regarding the number of days experiencing sickness presenteeism. We calculated odds ratios (ORs) and 95% confidence interval (95% CI) for depressive symptoms after categorizing participants into three groups based on the duration of experiencing sickness presenteeism, using cut-off values of 3 and 5 days., Results: Workers who have experienced sickness presenteeism for more than 5 days were at highest risk for depressive symptoms than referent group (OR 2.87; 95% CI 2.17-3.76 in male, OR 3.86; 95% CI 3.02-4.91 in female). Furthermore, there was a trend of increasing risk for depressive symptom as the duration of experiencing sickness presenteeism extended., Conclusion: This study presents the association between experiencing sickness presenteeism in the previous 12 months and depressive symptoms. Based on the results, we provide individual and organizational strategies of reducing sickness presenteeism. Also, screening for workers who have experienced sickness presenteeism are needed to ensure good mental health., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Loneliness is recognised as a risk factor for cardiovascular disease development. However, it is unclear whether loneliness itself or other closely related mental health symptoms, such as depression and social anxiety, are associated with the development of cardiovascular disease. In the present study, we examined the relationship between loneliness and several early cardiovascular disease markers in young adults, after controlling for depression and social anxiety. Sixty-six young adults (18-35 years old, M age  = 22.70; 75.8% females) completed psychological questionnaires and took part in several physiological tests assessing cardiovascular health (e.g., vascular function). Results revealed higher loneliness was significantly associated with shorter pulse transit time (β = - 0.70, p = 0.002; shorter pulse transit time is a subclinical marker for arterial stiffness). Additionally, results show that while loneliness and depression were both related to vascular dysfunction in young adults, the underlining physiological mechanisms through which they affect vascular function may be different. Specifically, higher loneliness was associated with increased arterial stiffness, whereas depression was associated with increased endothelial dysfunction (β = - 0.43, p = 0.04). Our findings indicate that presence of loneliness and depression in young adults may be accompanied by early indicators of poor cardiovascular health, such as arterial stiffness and endothelial dysfunction. Results from the study further support the link between loneliness and cardiovascular disease development., (© 2024. The Author(s).)

Background: There is wide acknowledgement in the literature that social connection is protective against loneliness and depression. More robust research, however, is needed to evaluate interventions that promote social connection. This protocol paper outlines the evaluation of a community-wide social connection program, Connect Local , in metropolitan Melbourne, Australia to support people 65 years and older to increase access to local community services/activities; and to ascertain impact on social connection, loneliness, depressive symptoms, physical and mental wellbeing, and use of health services., Methods: A Type 1 Hybrid design, including program effectiveness, cost-effectiveness, and implementation evaluation of the Connect Local program, will be undertaken. Eighty-eight participants aged ≥65 years with one or more chronic health condition, who are also either experiencing or at risk of loneliness, social isolation and depressive symptoms will be invited to participate in the evaluation. Outcomes, measured at baseline, 3, 6 and 12 months, include loneliness, social isolation, depressive symptoms, social anxiety, goal attainment, wellbeing, quality of life and health care utilisation. A gender and age matched comparator group of 88 individuals will be recruited from outside the intervention local government area. Impact of the intervention on community service providers in the target region will be evaluated using mixed methods, where triangulation will be used to combine the qualitative and quantitative data using a deductive-simultaneous design. Changes in wellbeing and quality of life of community volunteers will also be measured. All groups will be interviewed to ascertain their experience and perceptions of the program. The economic evaluation will use a Social Return on Investment (SROI) approach, to include outcomes at the individual, community, and system levels. Implementation outcomes will consider Reach, Adoption, Feasibility, Acceptability, Appropriateness, Fidelity, and Sustainability of the intervention., Discussion: This study will provide a better understanding of the impacts of a community-wide social connection approach in older adults, the community and broader system., Clinical Trial Registration: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=385192; Identifier ACTRN12623000968673., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer AJ declared a shared affiliation with the author(s) ML to the handling editor at the time of review., (Copyright © 2024 Ogrin, Robinson, Rendell, Alrababah, Fineberg, Fiddes, Yerolemou, Lim, Engel and Lowthian.)

Temporary employment is associated with an elevated risk of cardiovascular diseases and mortality. This study explored the association between temporary employment and dietary quality in middle-aged workers. This cross-sectional study included a nationwide sample of middle-aged Korean workers (n = 6467). Employment type was categorized into regular, fixed-term, and daily employment, based on labor contract duration. Dietary quality was assessed using the Korean Health Eating Index (KHEI), which ranges from 0 to 100, with higher scores indicating superior dietary quality. Linear regression was used to estimate beta coefficients ( β ) and 95% confidence intervals (CI). The survey-weighted proportion of regular, fixed-term, and daily employment was 79.0%, 14.2%, and 6.8%, respectively. Fixed-term and daily employment were associated with a reduced KHEI compared with regular employment ( β [95% CI]: -1.07 [-2.11, -0.04] for fixed-term and -2.46 [-3.89, -1.03] for daily employment). In sex-stratified analysis, the association between temporary employment and dietary quality was more pronounced in men ( β [95% CI]: -1.69 [-3.71, 0.33] for fixed-term and -2.60 [-4.63, -0.53] for daily employment than in women. In conclusion, this study suggests that temporary employment is a social determinant of dietary quality in middle-aged workers.

Background: Patient isolation units (PIUs) can be an effective method for effective infection control. Computational fluid dynamics (CFD) is commonly used for PIU design; however, optimizing this design requires extensive computational resources. Our study aims to provide data-driven models to determine the PIU settings, thereby promoting a more rapid design process., Method: Using CFD simulations, we evaluated various PIU parameters and room conditions to assess the impact of PIU installation on ventilation and isolation. We investigated particle dispersion from coughing subjects and airflow patterns. Machine-learning models were trained using CFD simulation data to estimate the performance and identify significant parameters., Results: Physical isolation alone was insufficient to prevent the dispersion of smaller particles. However, a properly installed fan filter unit (FFU) generally enhanced the effectiveness of physical isolation. Ventilation and isolation performance under various conditions were predicted with a mean absolute percentage error of within 13%. The position of the FFU was found to be the most important factor affecting the PIU performance., Conclusion: Data-driven modeling based on CFD simulations can expedite the PIU design process by offering predictive capabilities and clarifying important performance factors. Reducing the time required to design a PIU is critical when a rapid response is required., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Objectives: Long working hours and overwork are growing public health concerns in the Western-Pacific region. We explored the relationship between working hours and smoking behaviors of Korean workers., Methods: This study included 284 782 observations (50 508 workers) from four nationwide cohort studies in Korea. Using generalized estimating equations, we estimated the associations of working hours with current smoking status, smoking initiation, and smoking cessation within each cohort. Cohort-specific estimates were combined through random-effect meta-analysis. Effect sizes were presented as odds ratios (OR) and 95 confidence intervals (CI)., Results: The overall smoking prevalence was 26.8% within the cohorts. The adjusted OR (95% CI) of the association between working hours and current smoking were 1.01 (0.94-1.08) for <35 hours/week, 1.04 (1.01-1.09) for 41-48 hours/week, 1.06 (1.01-1.10) for 49-54 hours/week, and 1.07 (1.04-1.10) for ≥55 hours/week compared with 35-40 hours/week. The adjusted OR (95% CI) of the association between working hours and smoking cessation in the follow-up were 0.93 (0.85-1.02) for <35 hours/week, 0.89 (0.83-0.96) for 41-48 hours/week, 0.87 (0.81-0.95) for 48-54 hours/week, and 0.91 (0.85-0.98) for ≥55 hours/week compared with 35-40 hours/week. No clear associations were observed between working hours and smoking initiation., Conclusion: Long working hours are associated with high current smoking risk and reduced likelihood of smoking cessation among Korean workers. Policy interventions are required to promote smoking cessation and reduce excess overwork for individuals experiencing long working hours.

Synaptic vesicle transport by motor proteins along microtubules is a crucially active process underlying neuronal communication. It is known that microtubules are destabilized by tau-hyperphosphorylation, which causes tau proteins to detach from microtubules and form neurofibril tangles. However, how tau-phosphorylation affects the transport dynamics of motor proteins on the microtubule remains unknown. Here, we discover that the long-distance unidirectional motion of vesicle-motor protein multiplexes (VMPMs) in living cells is suppressed under tau-hyperphosphorylation, with the consequent loss of fast vesicle-transport along the microtubule. The VMPMs in hyperphosphorylated cells exhibit seemingly bidirectional random motion, with dynamic properties far different from those of VMPM motion in normal cells. We establish a parsimonious physicochemical model of VMPM's active motion that provides a unified, quantitative explanation and predictions for our experimental results. Our analysis reveals that, under hyperphosphorylation conditions, motor protein multiplexes have both static and dynamic motility fluctuations. The loss of fast vesicle-transport along the microtubule can be a mechanism of neurodegenerative disorders associated with tau-hyperphosphorylation., Competing Interests: The authors declare no competing financial interest., (© 2024 The Authors. Co-published by Nanjing University and American Chemical Society.)

Coxsackievirus A6 (CV-A6) has emerged as the predominant causative agent of hand, foot, and mouth disease (HFMD) in young children. Since the declaration of coronavirus disease 2019 (COVID-19) as a global pandemic, the incidence of infectious diseases, including HFMD, has decreased markedly. When social mitigation was relaxed during the COVID-19 pandemic in 2022, the re-emergence of HFMD was observed in Gwangju, South Korea, and seasonal characteristics of the disease appeared to have changed. To investigate the molecular characteristics of enterovirus (EV) associated with HFMD during 2022, 277 specimens were collected. Children aged younger than 5 years accounted for the majority of affected individuals. EV detection and genotyping were performed using real-time RT-PCR and nested RT-PCR followed by sequence analysis. The EV detection rate was found to be 82.3%, and the main genotype identified was CV-A6. Sixteen CV-A6 samples were selected for whole genome sequencing. According to phylogenetic analysis, all CV-A6 strains from this study belonged to the sub-genotype D3 clade based on VP1 sequences. Analysis of 3D polymerase phylogeny showed that only the recombinant RF-A group was identified. In conclusion, circulating EV types should be continuously monitored to understand pathogen emergence and evolution during the post-pandemic era.

Although magnetic nanoparticles demonstrate significant potential as magnetic resonance imaging (MRI) contrast agents, their negative contrasts, liver accumulation, and limited excretion hinder their application. Herein, we developed ultrasmall Mn-doped iron oxide nanoparticles (UMIOs) with distinct advantages as T 1 MRI contrast agents. Exceptionally small particle sizes ( ca. 2 nm) and magnetization values (5 emu g Mn+Fe -1 ) of UMIOs provided optimal T 1 contrast effects with an ideally low r 2 / r 1 value of ∼1. Furthermore, the use of Mn as a dopant facilitated hepatocyte uptake of the particles, allowing liver imaging. In animal studies, UMIOs exhibited significantly enhanced contrasts for sequential T 1 imaging of blood vessels and the liver, distinguishing them from conventional magnetic nanoparticles. UMIOs were systematically cleared via dual hepatobiliary and renal excretion pathways, highlighting their safety profile. These characteristics imply substantial potential of UMIOs as T 1 contrast agents for the accurate diagnosis of liver diseases., Competing Interests: There are no conflicts to declare., (This journal is © The Royal Society of Chemistry.)

Deep learning has been increasingly utilized in the medical field and achieved many goals. Since the size of data dominates the performance of deep learning, several medical institutions are conducting joint research to obtain as much data as possible. However, sharing data is usually prohibited owing to the risk of privacy invasion. Federated learning is a reasonable idea to train distributed multicenter data without direct access; however, a central server to merge and distribute models is needed, which is expensive and hardly approved due to various legal regulations. This paper proposes a continual learning framework for a multicenter study, which does not require a central server and can prevent catastrophic forgetting of previously trained knowledge. The proposed framework contains the continual learning method selection process, assuming that a single method is not omnipotent for all involved datasets in a real-world setting and that there could be a proper method to be selected for specific data. We utilized the fake data based on a generative adversarial network to evaluate methods prospectively, not ex post facto. We used four independent electrocardiogram datasets for a multicenter study and trained the arrhythmia detection model. Our proposed framework was evaluated against supervised and federated learning methods, as well as finetuning approaches that do not include any regulation to preserve previous knowledge. Even without a central server and access to the past data, our framework achieved stable performance (AUROC 0.897) across all involved datasets, achieving comparable performance to federated learning (AUROC 0.901)., (© 2024. The Author(s).)

Parkin interacting substrate (PARIS) is a pivotal transcriptional regulator in the brain that orchestrates the activity of various enzymes through its intricate interactions with biomolecules, including nucleic acids. Notably, the binding of PARIS to insulin response sequences (IRSs) triggers a cascade of events that results in the functional loss in the substantia nigra, which impairs dopamine release and, subsequently, exacerbates the relentless neurodegeneration. Here, we report the details of the interactions of PARIS with IRSs via classical zinc finger (ZF) domains in PARIS, namely, PARIS(ZF2-4). Our biophysical studies with purified PARIS(ZF2-4) elucidated the binding partner of PARIS, which generates specific interactions with the IRS1 (5'-TATTTTT, K d = 38.9 ± 2.4 nM) that is positioned in the promoter region of peroxisome proliferator-activated receptor gamma coactivator-1α (PGC-1α). Mutational and metal-substitution studies demonstrated that Zn(II)-PARIS(ZF2-4) could recognize its binding partner selectively. Overall, our work provides submolecular details regarding PARIS and shows that it is a transcriptional factor that regulates dopamine release. Thus, PARIS could be a crucial target for therapeutic applications.

Intracellular C-terminal cleavage of the amyloid precursor protein (APP) is elevated in the brains of Alzheimer's disease (AD) patients and produces a peptide labeled APP-C31 that is suspected to be involved in the pathology of AD. But details about the role of APP-C31 in the development of the disease are not known. Here, this work reports that APP-C31 directly interacts with the N-terminal and self-recognition regions of amyloid-β 40 (Aβ 40 ) to form transient adducts, which facilitates the aggregation of both metal-free and metal-bound Aβ 40 peptides and aggravates their toxicity. Specifically, APP-C31 increases the perinuclear and intranuclear generation of large Aβ 40 deposits and, consequently, damages the nucleus leading to apoptosis. The Aβ 40 -induced degeneration of neurites and inflammation are also intensified by APP-C31 in human neurons and murine brains. This study demonstrates a new function of APP-C31 as an intracellular promoter of Aβ 40 amyloidogenesis in both metal-free and metal-present environments, and may offer an interesting alternative target for developing treatments for AD that have not been considered thus far., (© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.)

Introduction: There is a growing global interest in the issue of precarious employment. We aimed to analyze the characteristics and socio-demographic distribution of precarious employment using a summative score approach., Methods: To operationalize precarious employment, we utilized data from the Korean Working Conditions Survey and focused on three distinct dimensions: employment insecurity, income inadequacy, and a lack of rights and protections. By constructing a summative scale ranging from -16 to 2, with lower scores indicating higher precariousness, we measured employment precariousness among Korean wage workers. To compare employment precariousness according to survey participant characteristics, we employed the Wilcoxon Rank Sum Test., Results: We analyzed a weighted number of 38,432 workers. The overall sample showed a median (Q1, Q3) summative scale score of -3 (-6, -1). The median summative score was lower for women compared to men (men: -2; women: -5; p  < 0.001), as well as for young or older workers compared to middle-aged workers (young: -4; middle-aged: -2; older: -5; p  < 0.001). Similarly, workers with lower educational levels (middle school or below: -8; high school: -5; college or above: -2; p  < 0.001) and non-white collar workers (blue collar: -5; service/sales worker: -6; white collar: -2; p  < 0.001) experienced higher levels of employment precariousness., Conclusion: Our findings indicate that certain vulnerable groups, such as women, young or older adults, workers with low educational attainment, and caregiving or low-skilled elementary workers, are disproportionately exposed to high employment precariousness. Active policy interventions are needed to improve the employment quality of vulnerable groups., Competing Interests: All authors have no conflicts of interest to declare., (© 2023 The Authors.)

Background: Organoids are self-organized three-dimensional culture systems and have the advantages of both in vitro and in vivo experiments. However, each organoid has a different degree of self-organization, and methods such as immunofluorescence staining are required for confirmation. Therefore, we established a system to select organoids with high tissue-specific similarity using deep learning without relying on staining by acquiring bright-field images in a non-destructive manner., Methods: We identified four biomarkers in RNA extracted from airway organoids. We also predicted biomarker expression by image-based analysis of organoids by convolution neural network, a deep learning method., Results: We predicted airway organoid-specific marker expression from bright-field images of organoids. Organoid differentiation was verified by immunofluorescence staining of the same organoid after predicting biomarker expression in bright-field images., Conclusion: Our study demonstrates the potential of imaging and deep learning to distinguish organoids with high human tissue similarity in disease research and drug screening., (© 2023. Korean Tissue Engineering and Regenerative Medicine Society.)