Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of psychiatric symptom profiles of parents on sleep bruxism intensity of their children

Abstract Objective The objective of this study was to evaluate the effects of parental anxiety, depression levels and psychiatric symptom profiles of parents on the occurrence of sleep bruxism in children. Material & Methods This cross-sectional study was carried out with a sample of 94 children aged 6 to 12 years, divided into two groups: with sleep bruxism (bruxism group-BG) and without sleep bruxism (control group-CG). Beck Depression Inventory (BDI), Symptom Checklist (SCL-90-R), Symptom Checklist and Screen for Child Anxiety Related Emotional Disorders-Parent (SCARED-P) scale were used to assess anxiety and depression levels of parents. All questionnaires were filled out by parents of children. Intraoral and extraoral examinations were carried out of children in the clinic and sleep bruxism was determined. All stress conditions were investigated by logistic regression analysis. In the comparison of the qualitative data, chi-square and Fisher exact tests were used. Results The data revealed that participants whose mothers had high anxiety and interpersonal sensitivity scores, and participants whose fathers had a medium level of obsessive-compulsive disorder were more likely to have an SB problem (p < 0.05). According to the results of BDI, the fathers’ results between the BG and the CG were not statistically significant (p > 0.05). However, the mothers’ results between the BG and the CG were statistically significant (p < 0.05) When all subscales of SCARED-P were evaluated, the separation anxiety disorder subscore was statistically significant in the bruxism group. Conclusion The psychological status of parents is a significant risk factor associated with SB development in school-age children.
Association of parental self-efficacy with loneliness, isolation and community commitment in mothers with infant children in Japan: a cross-sectional study

Objectives Parental self-efficacy is defined as an individual’s appraisal of their competence in the parental role and is one of the factors targeted by parenting interventions. Factors related to parental self-efficacy among mothers, focusing mainly on individual and family characteristics, have been clarified; however, there are limited findings on community/societal factors related to parental self-efficacy among mothers. We aimed to clarify the association between parental self-efficacy and community/societal factors among mothers with infants and toddlers to provide suggestions for maternal and child health activities. Design This was a cross-sectional study, where an anonymous, self-administered questionnaire survey was conducted by mail from November 2019 to February 2020. Setting A health and welfare centre in a ward certified by the largest designated city in Japan. Participants Six hundred forty-nine mothers raising children aged 0–3 years who attended mandatory infant health check-ups. Primary outcome measures The Parental Self-Efficacy Scale. Results The number of valid responses was 490 (valid response rate: 75.6%). The mean age of the mothers was 33.2 (SD 4.9) years. The items found to significantly relate to parental self-efficacy (p<0.05), loneliness, social isolation (social network), community commitment, greeting neighbours, willingness to interact with neighbours, participation in parent–child circles and neighbourhood association events were included as independent variables. Multiple regression analysis showed that the factors significantly related to high parental self-efficacy were low loneliness score (β=−0.436, p<0.001), high social network score (β=0.153, p<0.001) and high community commitment score (β=0.110, p<0.01). The adjusted R2 was 0.488. Conclusions The results suggest the importance of community-building, enhancing qualitative and quantitative support by developing initiatives to reduce loneliness and improving the environment to supplement social networks, and activating community activities by promoting interaction with local residents.
Norm Dynamics: Interdisciplinary Perspectives on Social Norm Emergence, Persistence, and Change.

Social norms are the glue that hold society together, yet our knowledge of them remains heavily intellectually siloed. This article provides an interdisciplinary review of the emerging field of norm dynamics by integrating research across the social sciences through a cultural-evolutionary lens. After reviewing key distinctions in theory and method, we discuss research on norm psychology-the neural and cognitive underpinnings of social norm learning and acquisition. We then overview how norms emerge and spread through intergenerational transmission, social networks, and group-level ecological and historical factors. Next, we discuss multilevel factors that lead norms to persist, change, or erode over time. We also consider cultural mismatches that can arise when a changing environment leads once-beneficial norms to become maladaptive. Finally, we discuss potential future research directions and the implications of norm dynamics for theory and policy. Expected final online publication date for the Annual Review of Psychology, Volume 75 is January 2024. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Atmospheric nitrogen input in temperate hardwood forests in Chile and Flanders

Although nutrient cycling in pristine temperate forests of southern Chile is largely undisturbed by atmospheric contamination, agricultural activities in south-central Chile are strongly expanding. Deposition monitoring is therefore a necessary tool to analyze temporal and spatial trends, in order to evaluate the consequences of emission changes. Total atmospheric nitrogen input to forest ecosystems is the sum of (i) wet deposition of precipitation water, (ii) dry deposition of aerosols and gases on the forest canopy, and (iii) fog and cloud deposition. Using the throughfall method, total atmospheric input of inorganic nitrogen was estimated to be about 9 kg N ha y in Chile and 38 kg N ha y in Flanders.
Wind-Stress coefficients over Sea surface near Neutral Conditions—A Revisit

Abstract A scaling law of wind-stress coefficients is presented to illustrate explicitly that the coefficient increases with wind velocity and decreases with fetch; physical reasonings of both trends are discussed. Besides being shown previously to be related to a criterion determining airflow separation from waves, the Charnock relation is further associated with the critical roughness Reynolds number identifying regimes of the atmospheric surface layer. Intrinsic errors and limitations of the Charnock relation, which provides an overall correlation between stress coefficient and wind velocity, are illustrated. A probable nondimensional expression, a refinement of the Charnock relation, is proposed between the roughness length and the wind-friction velocity involving not only gravity but also surface tension and viscosity. Previous compilation of wind-stress data obtained with eddy-correlation and wind-profile methods is found to be consistent with recent results obtained with similar techniques. A singl.
Using Tactical NLG to Induce Affective States: Empirical Investigations

This paper reports on attempts at Aberdeen to measure the effects on readers' emotions of positively and negatively "slanted" texts with the same basic message. The "slanting" methods could be implemented in an (NLG) system. We discuss a number of possible reasons why the studies were unable to show clear, statistically significant differences between the effects of the different texts.
Multiscale network modeling reveals the gene regulatory landscape driving cancer prognosis in 32 cancer types

Cancer is a complex disease with diverse molecular mechanisms that affect patient prognosis. Network-based approaches are effective in revealing a holistic picture of cancer prognosis and gene interactions. However, a comprehensive landscape of coexpression networks and prognostic gene modules across multiple cancer types remains elusive. In this study, we performed a systematic analysis of coexpression networks in 32 cancer types. Our analysis identified 4749 prognostic modules that play a vital role in regulating cancer progression. Integrative epigenomic analyses revealed that these modules were regulated by interactions between gene expression and methylation. Coregulated genes of network modules were enriched in chromosome cytobands and preferentially localized in open chromatin regions. The preserved network modules formed 330 module clusters that resided in chromosome hot spots. The cancer-type-specific prognostic modules participated in unique essential biological processes in different cancer types. Overall, our study provides rich resources of prevalent gene networks and underlying multiscale regulatory mechanisms driving cancer prognosis, which lay a foundation for biomarker discovery and therapeutic target development.
Site‐specific photo‐crosslinking/cleavage for protein–protein interface identification reveals oligomeric assembly of lysosomal‐associated membrane protein type 2A in mammalian cells

Genetic code expansion enables site‐specific photo‐crosslinking by introducing photo‐reactive non‐canonical amino acids into proteins at defined positions during translation. This technology is widely used for analyzing protein–protein interactions and is applicable in mammalian cells. However, the identification of the crosslinked region still remains challenging. Here, we developed a new method to identify the crosslinked region by pre‐installing a site‐specific cleavage site, an α‐hydroxy acid (Nε‐allyloxycarbonyl‐α‐hydroxyl‐l‐lysine acid, AllocLys‐OH), into the target protein. Alkaline treatment cleaves the crosslinked complex at the position of the α‐hydroxy acid residue and thus helps to identify which side of the cleavage site, either closer to the N‐terminus or C‐terminus, the crosslinked site is located within the target protein. A series of AllocLys‐OH introductions narrows down the crosslinked region. By applying this method, we identified the crosslinked regions in lysosomal‐associated membrane protein type 2A (LAMP2A), a receptor of chaperone‐mediated autophagy, in mammalian cells. The results suggested that at least two interfaces are involved in the homophilic interaction, which requires a trimeric or higher oligomeric assembly of adjacent LAMP2A molecules. Thus, the combination of site‐specific crosslinking and site‐specific cleavage promises to be useful for revealing binding interfaces and protein complex geometries.
Prediction and analysis of genetic effect in idiopathic pulmonary fibrosis and gastroesophageal reflux disease

Abstract With increasing research on idiopathic pulmonary fibrosis (IPF) and gastroesophageal reflux disease (GERD), more and more studies have indicated that GERD is associated with IPF, but the underlying pathological mechanisms remain unclear. The aim of the present study is to identify and analyse the differentially expressed genes (DEGs) between IPF and GERD and explore the relevant molecular mechanisms via bioinformatics analysis. Four GEO datasets (GSE24206, GSE53845, GSE26886, and GSE39491) were downloaded from the GEO database, and DEGs between IPF and GERD were identified with the online tool GEO2R. Subsequently, a series of bioinformatics analyses are conducted, including Kyoto Encyclopaedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses, the PPI network, biological characteristics, TF‐gene interactions, TF‐miRNA coregulatory networks, and the prediction of drug molecules. Totally, 71 genes were identified as DEGs in IPF and GERD. Five KEGG pathways, including Amoebiasis, Protein digestion and absorption, Relaxin signalling pathway, AGE‐RAGE signalling pathway in diabetic complications, and Drug metabolism ‐ cytochrome P450, were significantly enriched. In addition, eight hub genes, including POSTN, MMP1, COL3A1, COL1A2, CXCL12, TIMP3, VCAM1, and COL1A1 were selected from the PPI network by Cytoscape software. Then, five hub genes (MMP1, POSTN, COL3A1, COL1A2, and COL1A1) with high diagnostic values for IPF and GERD were validated by GEO datasets. Finally, TF‐gene and miRNA interaction was identified with hub genes and predicted drug molecules for the IPF and GERD. And the results suggest that cetirizine, luteolin, and pempidine may have great potential therapeutic value in IPF and GERD. This study will provide novel strategies for the identification of potential biomarkers and valuable therapeutic targets for IPF and GERD.
Infernape uncovers cell type–specific and spatially resolved alternative polyadenylation in the brain

Differential polyadenylation sites (PAs) critically regulate gene expression, but their cell type–specific usage and spatial distribution in the brain have not been systematically characterized. Here, we present Infernape, which infers and quantifies PA usage from single-cell and spatial transcriptomic data and show its application in the mouse brain. Infernape uncovers alternative intronic PAs and 3′-UTR lengthening during cortical neurogenesis. Progenitor–neuron comparisons in the excitatory and inhibitory neuron lineages show overlapping PA changes in embryonic brains, suggesting that the neural proliferation–differentiation axis plays a prominent role. In the adult mouse brain, we uncover cell type–specific PAs and visualize such events using spatial transcriptomic data. Over two dozen neurodevelopmental disorder–associated genes such as Csnk2a1 and Mecp2 show differential PAs during brain development. This study presents Infernape to identify PAs from scRNA-seq and spatial data, and highlights the role of alternative PAs in neuronal gene regulation.
Co-occurrence of symptoms after radiochemotherapy in locally advanced cervix cancer patients: a cluster analysis

Abstract Background State of the art combined radiochemotherapy and image-guided brachytherapy for locally advanced cervical cancer (LACC) has shown improved disease control and survival as well as a significant reduction of organ related morbidity. However, LACC cancer survivors are still experiencing a spectrum of symptoms. The aim of this study was to identify co-occurring symptoms in cervix cancer survivors by using patient-reported outcome and physician assessed morbidity. Materials and method EMBRACE I is a multicenter prospective observational study with 1416 LACC patients (2008–2015). Information on physician-assessed morbidity and patient-reported outcome was assessed at baseline and at regular follow-ups up with the CTCAE v.3 and EORTC-C30/CX24, respectively. Patients with at least 2 years of follow-up were included and data from 3 months to 2 years was used in the analysis. Factor analysis was used on both EORTC and CTCAE data with symptoms and follow-ups as observations. The extracted factors represent clusters of symptoms. Subsequently, regression models were built to investigate associations between the symptom clusters and QOL. Results The analysis included 742 patients. Despite the differences in the definition of physician-assessed and patient-reported symptoms, similar clusters are identified by the two assessment methods. Three main organ-related clusters are recognized for urinary, gastro-intestinal and vaginal morbidity. Furthermore, a general symptoms cluster where fatigue, pain, insomnia, neuropathy, and hot flashes have large weights is found. Lastly, a cluster with nausea, vomit and lack of appetite is also identified. The general, gastrointestinal and nausea clusters show significant associations with general QOL. Conclusions This analysis on both PRO and physician-assessed morbidity found a cluster associated with general symptoms and organ-related symptom clusters (urinary, gastrointestinal, vaginal). This shows that LACC survivors experience a variety of co-occurring symptoms. Our analysis also shows that the cluster of general symptoms is associated with a decrease in QOL.
The delicate balance of graft versus leukemia and graft versus host disease after allogeneic hematopoietic stem cell transplantation

ABSTRACT Introduction The curative basis of allogeneic hematopoietic stem cell transplantation (HSCT) relies in part upon the graft versus leukemia (GvL) effect, whereby donor immune cells recognize and eliminate recipient malignant cells. However, alloreactivity of donor cells against recipient tissues may also be deleterious. Chronic graft versus host disease (cGvHD) is an immunologic phenomenon wherein alloreactive donor T cells aberrantly react against host tissues, leading to damaging inflammatory symptoms. Areas Covered Here, we discuss biological insights into GvL and cGvHD and strategies to balance the prevention of GvHD with maintenance of GvL in modern HSCT. Expert Opinion/Commentary Relapse remains the leading cause of mortality after HSCT with rates as high as 40% for some diseases. GvHD is a major cause of morbidity after HSCT, occurring in up to half of patients and responsible for 15–20% of deaths after HSCT. Intriguingly, the development of chronic GvHD may be linked to lower relapse rates after HSCT, suggesting that GvL and GvHD may be complementary sides of the immunologic foundation of HSCT. The ability to fine tune the balance of GvL and GvHD will lead to improvements in survival, relapse rates, and quality of life for patients undergoing HSCT.
Data-Efficient Reinforcement Learning for Complex Nonlinear Systems

This article proposes a data-efficient model-free reinforcement learning (RL) algorithm using Koopman operators for complex nonlinear systems. A high-dimensional data-driven optimal control of the nonlinear system is developed by lifting it into the linear system model. We use a data-driven model-based RL framework to derive an off-policy Bellman equation. Building upon this equation, we deduce the data-efficient RL algorithm, which does not need a Koopman-built linear system model. This algorithm preserves dynamic information while reducing the required data for optimal control learning. Numerical and theoretical analyses of the Koopman eigenfunctions for dataset truncation are discussed in the proposed model-free data-efficient RL algorithm. We validate our framework on the excitation control of the power system.
Depression, Inflammation, and the Moderating Role of Metformin: Results from the Midlife in the United States (MIDUS) Study and Sacramento Area Latino Study on Aging (SALSA).

OBJECTIVE Depression can promote inflammation and accelerate aging. Metformin, a widely prescribed antidiabetic, has shown promising preclinical evidence of aging-related health benefits, including decreased inflammation. The current study examined whether metformin usage buffers the association between depressive symptoms and inflammatory markers in two large samples of middle-aged and older, primarily white adults, and older Latino adults. METHODS Data from the Midlife in the United States Study (MIDUS; N = 1255) and the Sacramento Area Latino Study on Aging (SALSA; N = 1786) included information on medication use, depressive symptoms, and inflammatory markers, namely IL-6, TNF-α, and CRP. These data were merged into a harmonized sample, and the sample group variable was included in a three-way interaction for analysis. RESULTS Specifically, in the MIDUS sample, metformin buffered the association between depressive symptoms and CRP (b = -0.029, SE = 0.013, p = .007) and IL-6 (b = 0.21, SE = 0.010, p = .046), while no significant association was found with TNF-α. Metformin non-users displayed higher depressive symptoms associated with elevated CRP (b = 0.01, SE = 0.003, p < .001) and IL-6 (b = 0.011, SE = 0.003, p < .001), whereas this association was not present among metformin users (ps > .068). Conversely, in the SALSA sample, metformin use did not show a significant protective link. CONCLUSION Results from mostly white, highly educated adults supported a mitigating role of metformin in ties between depression, a well-known behavioral risk factor, and inflammation, a key source of biological aging. However, the benefits did not extend to a large sample of older Mexican Americans. The findings reveal a hidden potential benefit of this therapeutic agent and raise important questions around its health equity.Trial Registration: The study was pre-registered on OSF (https://osf.io/c92vw/).
Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio

The principles of cognition are becoming increasingly important in the areas of signal processing, communications and control. In this groundbreaking book, Simon Haykin, a pioneer in the field and an award-winning researcher, educator and author, sets out the fundamental ideas of cognitive dynamic systems. Weaving together the various branches of study involved, he demonstrates the power of cognitive information processing and highlights a range of future research directions. The book begins with a discussion of core topics such as cognition and sensing, dealing, in particular, with the perception-action cycle. Bayesian filtering, machine learning and dynamic programming are then addressed. Building on these foundations, there is detailed coverage of two important practical applications, cognitive radar and cognitive radio. Blending theory and practice, this insightful book is aimed at all graduate students and researchers looking for a thorough grounding in this fascinating field.
Virtual design : a framework for the development of personal electronic products

Personal electronic products are electronic devices that people use for their everyday tasks. They have customizable features and offer services that are mostly implemented with software and controlled with software-based user interfaces. The development of personal electronics is a demanding task for companies. It introduces a design target that requires multi-discipline co-operation and expertise. Besides for the integration of more traditional development areas of mechanical, hardware and software engineering, the demand for customer satisfaction extends the challenge with new expertise areas that focus on good usability and an appealing design of the product. In general, more effort must be placed on the early design phases that validate the correct product decisions that are necessary for a successful business in the international markets. This thesis introduces virtual design as a product development framework for the personal electronics industry. Virtual design is based on the effective use of realistic and functional product simulations called virtual prototypes over the different product life cycle phases. The goal of this thesis is to study how virtual design can help companies in developing personal electronics more efficiently, i.e. with better customer satisfaction, reduced effort and shorter development time. The research work is started by analysing the general challenges that usually are met during the development of a personal electronic product. Next, the development processes and tools that are usually applied in the development of electronic and telecommunication products are studied, along with their typical limitations especially regarding the development of personal electronic products. The analysis is founded on experience from industrial cases. Real case studies are also applied in defining the requirements for better product development and virtual design ultimately aiming to fulfil these requirements.