Purpose To explore the sensitive nursing care provided by nurses who care for terminally-ill individuals with cancer. Methods In-depth interviews were conducted using Colaizzi's phenomenological approach. Participants were 16 hospice specialists and four non-specialist nurses with experience in caring for terminal cancer patients in hospice specialized institutions in South Korea. Results Eight theme clusters were drawn from the data and these clusters had two dimensions consisting of sensitive attitudes and sensitive nursing behaviors. The sensitive attitudes included reflecting on past experiences, developing an accepting attitude toward death, using intuition to address critical situations, and having an open mind regarding collaborating with colleagues. The sensitive nursing behaviors contained listening to patients' needs, responding to patients in a manner suitable to their conditions, quickly responding to patients' problem, and providing a moment saying farewell. Conclusions Teamwork and role models can help hospice specialists and non-specialist nurses caring for terminally-ill individuals with cancer to improve the sensitive nursing care. The sensitive attitudes and behaviors can be used as basic data for training programs designed to enhance nurses' sensitivity.Coral reefs are formed by living polyps, and understanding the dynamic processes behind the reefs is crucial for marine ecosystem restoration. However, these processes are still unclear because the growth and budding patterns of living polyps are poorly known. Here, we investigate the growth pattern of a widely distributed reef-building coral Pocillopora damicornis from Xisha Islands using high-resolution computed tomography. We examine the corallites in a single corallum of the species in detail, to interpret the budding, growth, and distribution pattern of the polyps, to reconstruct the growth pattern of this important reef-building species. Our results reveal a three-stage growth pattern of P. damicornis, based on different growth bundles that are secreted by polyps along the dichotomous growth axes of the corallites. Our work on the three-dimensional reconstruction of calice and inter-septal space structure of P. damicornis sheds lights on its reef-building processes by reconstructing the budding patterns.Single-cell RNA-sequencing (scRNA-seq) is a set of technologies used to profile gene expression at the level of individual cells. Although the throughput of scRNA-seq experiments is steadily growing in terms of the number of cells, large datasets are not yet commonly generated owing to prohibitively high costs. Integrating multiple datasets into one can improve power in scRNA-seq experiments, and efficient integration is very important for downstream analyses such as identifying cell-type-specific eQTLs. State-of-the-art scRNA-seq integration methods are based on the mutual nearest neighbor paradigm and fail to both correct for batch effects and maintain the local structure of the datasets. In this paper, we propose a novel scRNA-seq dataset integration method called BATMAN (BATch integration via minimum-weight MAtchiNg). Across multiple simulations and real datasets, we show that our method significantly outperforms state-of-the-art tools with respect to existing metrics for batch effects by up to 80% while retaining cell-to-cell relationships.How the noisy expression of regulatory proteins affects timing of intracellular events is an intriguing fundamental problem that influences diverse cellular processes. Here we use the bacteriophage λ to study event timing in individual cells where cell lysis is the result of expression and accumulation of a single protein (holin) in the Escherichia coli cell membrane up to a critical threshold level. Site-directed mutagenesis of the holin gene generated phage variants that vary in their lysis times from 30 to 190 min. Observation of the lysis times of single cells reveals an intriguing finding-the noise in lysis timing first decreases with increasing lysis time to reach a minimum and then sharply increases at longer lysis times. A mathematical model with stochastic expression of holin together with dilution from cell growth was sufficient to explain the non-monotonic noise profile and identify holin accumulation thresholds that generate precision in lysis timing.Background Past research links hoarding disorder (HD) to indecisiveness and difficulty with decision-making. However, it remains unclear what contributes to difficulty making decisions in HD. Decision-making research suggests that some individuals have a maximizing decision-making style (seeking the best option through an exhaustive search of all existing alternatives) while others "satisfice" (choosing options that are satisfactory even without seeing all options). Past work has linked the dispositional tendency to maximize in decisions to elevated depression, anxiety and obsessive-compulsive disorder (OCD) symptoms, but no study has investigated whether maximizing may be relevant for hoarding behaviors. Method We administered measures of hoarding behaviors, decision-making style (maximizing vs satisficing), generalized difficulty with decision-making (indecisiveness), distress (depression, anxiety and stress symptoms) and OCD symptoms to a sample of community adults (N = 1113) recruited through Amazon Mechanical Turk (MTurk). Results The tendency to maximize in decision-making was significantly correlated with hoarding symptoms (including difficulty discarding possessions, excessive acquisition, and clutter). Moreover, regression results showed that maximizing predicted hoarding severity after controlling for indecisiveness, general distress and OCD symptoms. Limitations We utilized self-report questionnaires in an unscreened community sample. Replication in a clinical sample is needed. Conclusions The dispositional tendency to maximize in decisions may represent a specific aspect of decision-making relevant for hoarding behaviors.  https://www.selleckchem.com/products/bindarit.html  Implications for improving cognitive-behavioral models and treatments are discussed.Background Lower socioeconomic status (SES) is associated with symptomatic severity, comorbidity, and functional impairment in adults with bipolar disorder (BD). Little is known about clinical correlates of SES in adolescents with BD. Methods Participants included 195 adolescents, 13-20 years old, with BD type I, II or not otherwise specified (NOS). Diagnoses were determined by standardized semi-structured interviews. Based on the Hollingshead scale, participants were divided into "low" (SES 1-3) and the "high" (SES 4-5) SES groups. Demographic and clinical correlates of SES were evaluated in univariate analyses; significant variables were evaluated in a logistic regression model. Results Compared to participants in the high SES group (n = 150), participants in the low SES group (n = 45) were significantly younger, less likely to be of Caucasian race and living with natural parents. In the logistic regression model, controlling for age and race, the low SES group had higher risk of police contact or arrest (OR = 2.