An exploratory whole-brain analysis revealed widespread activation differentially associated with performance of the mnemonic discrimination task. Taken together, these results suggest that a network of brain regions contribute to mnemonic discrimination performance, with the hippocampus and parahippocampal cortex as a hub in the network displaying clear signals consistent with pattern separation and regions such as the dorsal medial prefrontal cortex particularly important for successful lure discrimination.A rapid, efficient, and environmentally friendly matrix solid-phase dispersion microextraction was established to determine and quantify terpenoids in Radix Curcumae using ultra-high-performance liquid chromatography with a diode array detector. Various parameters affecting the extraction were investigated in detail, such as the grinding time, amount of adsorbent, type and concentration of elution solvent, and pH. The optimization of single-factor and response surface methodology was performed to confirm the best conditions in this procedure. The final optimized conditions were obtained by applying 70 mg of cucurbituril as adsorbent, 149 s as the optimum grinding time, and 228 mM of 3-(N,N-dimethylpalmitylammonio)propanesulfonate aqueous solution (pH 6.5) as the optimal elution solvent. The validated method showed a satisfactory linear range of 0.10-10 µg/mL for curdione and furanodiene, 0.01-10 µg/mL for isocurcumenol and germacrone, and 0.05-10 µg/mL for furanodienone, while the correlation coefficients ranged from 0.9945 to 0.9970. The recoveries of the investigated analytes at two spiked concentration levels (0.1 and 1.0 µg/mL) ranged from 96.53 to 104.60%. In addition, this method displayed acceptable reproducibility (relative standard deviation ≤ 3.66%). The results showed that the newly proposed matrix solid-phase dispersion microextraction method was successfully applied to analyze curdione, isocurcumenol, furanodienone, germacrone and furanodiene in Radix Curcumae samples.The heart and the brain mutually interact with each other, forming a functional axis that is disturbed under conditions of ischemia. Stem cell-derived extracellular vesicles (EVs) show great potential for the treatment of ischemic stroke and myocardial infarction. Due to heart-brain interactions, therapeutic actions of EVs in the brain and the heart cannot be regarded in an isolated way. Effects in each of the two organs reciprocally influence the outcome of the other. Stem cell-derived EVs modulate a large number of signaling pathways in both tissues. Upon ischemia, EVs prevent delayed injury, promote angiogenesis, enhance parenchymal remodeling, and enable functional tissue recovery. The therapeutic effects greatly depend on EV cargos, among which are noncoding RNAs like microRNAs (miRNAs) and proteins, which modulate cell signaling in a differential way that not always corresponds to each other in the two tissues. NB 598 purchase Interestingly, the same miRNA or protein localized in EVs can modulate different signaling pathways in the ischemic heart and brain, which may have diverse consequences for disease outcomes. Paying careful attention to unveiling these underlying mechanisms may provide new insights into tissue remodeling processes and identify targets for ischemic stroke and myocardial infarction therapies. Some of these mechanisms are discussed in this concise review, and consequences for the clinical translation of EVs are presented.

To examine the effects of neonatal simulation-based practice by applying flipped learning based on Tanner’s clinical judgement model to pre-simulation briefing for nursing students.

A quasi-experimental non-equivalent control group pre- and postintervention design.

Using Tanner’s clinical judgment model, flipped learning was developed and applied to the pre-simulation briefing curriculum prior to the neonatal nursing simulation exercise. Flipped learning was compared with a general pre-simulation briefing with 65 South Korean students. From September 7, 2019, to October 25, 2019.

The experimental group’s critical thinking, self-confidence and clinical judgement ability increased, but knowledge, satisfaction and anxiety did not differ from that of the control group. Pre-simulation briefing design focuses on improving students’ environmental comfort and reducing anxiety rather than developing complex reasoning skills and clinical judgement abilities. Applying flipped learning based on Tanner’s clinical judgement model to pre-simulation briefing increased critical thinking, self-confidence and clinical judgement ability.

The experimental group’s critical thinking, self-confidence and clinical judgement ability increased, but knowledge, satisfaction and anxiety did not differ from that of the control group. Pre-simulation briefing design focuses on improving students’ environmental comfort and reducing anxiety rather than developing complex reasoning skills and clinical judgement abilities. Applying flipped learning based on Tanner’s clinical judgement model to pre-simulation briefing increased critical thinking, self-confidence and clinical judgement ability.Stellate ganglion neurons, important mediators of cardiopulmonary neurotransmission, are surrounded by satellite glial cells (SGCs), which are essential for the function, maintenance, and development of neurons. However, it remains unknown whether SGCs in adult sympathetic ganglia exhibit any functional diversity, and what role this plays in modulating neurotransmission. We performed single-cell RNA sequencing of mouse stellate ganglia (n = 8 animals), focusing on SGCs (n = 11,595 cells). SGCs were identified by high expression of glial-specific transcripts, S100b and Fabp7. Microglia and Schwann cells were identified by expression of C1qa/C1qb/C1qc and Ncmap/Drp2, respectively, and excluded from further analysis. Dimensionality reduction and clustering of SGCs revealed six distinct transcriptomic subtypes, one of which was characterized the expression of pro-inflammatory markers and excluded from further analyses. The transcriptomic profiles and corresponding biochemical pathways of the remaining subtypes were analyzed and compared with published astrocytic transcriptomes.