Notes

Results of lumbar lordosis increment on gait deteriorations within ambulant guys with Duchenne Carved Dystrophy: A cross-sectional study.
Childhood maltreatment has been associated with deficits in cognitive functioning and poor academic performance. Not known is whether these characteristics are the direct consequence of the childhood maltreatment (that is, maltreatment plays a causal role) or whether other factors explain the relationship.

To examine whether childhood maltreatment predicts cognitive and academic functioning and whether these relationships are explained by other factors (parent cognitive and academic functioning, family social class, or parent maltreatment).

Data are from a longitudinal study of previously maltreated children, matched controls, and a subset of their offspring (697 parent-offspring dyads) interviewed in 2009-2010.

Cognitive and academic functioning were assessed in both parents and offspring with the same measures. Maltreatment was determined through official records. Hierarchical linear regressions were conducted to examine predictors of offspring cognitive and academic functioning.

Childhood maltreato improve the cognitive and academic functioning of maltreated children.
We aimed to assess the diagnostic performance of shear wave elastography (SWE) to assess perinodular stiffness before fine needle aspiration (FNA) of thyroid nodules with a maximum diameter of 1.0 cm.

This retrospective study included 69 thyroid nodules in 68 patients who underwent conventional ultrasound and SWE before ultrasound-guided FNA or surgical excision. The stiffness of perinodular regions was evaluated using wave patterns. Quantitative SWE features were also assessed. Sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve were calculated using conventional ultrasound and conventional ultrasound with SWE.

Of the 69 nodules, 57(82.6 %)were malignant and 12(17.4 %)were benign. The maximum elastic modulus (Emax) was higher for malignant nodules(P＜ 0.05). There was no significant difference in mean elastic modulus or minimum elastic modulus between malignant and benign nodules. The Emax≥ 28.2 kPa was the best cut-off value for malignant base on receiver operating curve. Perinodular stiffness was significantly greater for malignant nodules compared with benign nodules according to shear wave patterns. Compared with ultrasound alone, the rate of benign lesions recommended for FNA decreased from 75.0 % (9/12) to 25.0 % (3/12) with conventional ultrasound plus SWE.

SWE provides quantitative and qualitative information when used with conventional ultrasound. SWE has the potential to reduce the number of unnecessary FNA procedures.
SWE provides quantitative and qualitative information when used with conventional ultrasound. SWE has the potential to reduce the number of unnecessary FNA procedures.Clinical nurse educators in a BSN program developed the SIM-PLE (Simulation-Positive Learning Evaluation) rubric to evaluate student performance in simulation. A pilot study was conducted over two semesters with junior level medical-surgical classes made up of approximately 110-130 students each semester, and the tool was revised and re-evaluated. Inter-rater reliability testing utilized 69 SIM-PLE rubric student evaluations (N = 69). Inter-rater reliability was assessed with comparison of lead faculty with three other instructors utilizing two raters for each simulation experience. The intraclass correlation coefficient (ICC) suggested high inter-rater reliability. The t-test difference was not significant. One-way analysis of variance (ANOVA) showed a significant difference in the Collaboration subcategory score. Univariate ANOVA indicated both raters scored consistently with each other overall and that they both scored JR1 differently than JR2. The pilot study and testing of interrater reliability of the rubric revealed positive findings. The role of the rubric in providing formative feedback during debrief sessions empowered students to analyze their own performance and/or experience to self-correct or improve their future practice based on these experiences.As part of a participatory action research (PAR) study, nursing student participants collaborated with faculty, along with older adults, people with mixed abilities, and preschool aged children in order to 'sow the seeds of social change' and grow a campus community gardening project. The focus of this article is on the community-engaged pedagogy within a community health nursing practice course that supported student learning. Insights were gleaned over the course of four academic semesters (and four student cohort groups) with students as co-developers of the campus-community garden and participants in the PAR. Key themes emerged from student participants in the PAR process including (1) planning in community to "think global, act local"; (2) discovering 'the people in your neighbourhood' as socially just partnerships; (3) revisiting landscapes of social inclusion; and (4) reflecting on "humble togetherness" across generational gaps. The findings showcased here attest to how community-engaged pedagogy, in conjunction with PAR, can facilitate student learning outside of traditional settings and grow social inclusion, intergenerational connection, and social justice.Simulation debriefing standards and models recommend simulation facilitators spend time debriefing learner feelings and clinical reasoning following the simulation scenario. Many debriefing models are available, more so in nursing than in paramedicine, however few models combine specific frameworks to debrief learner feelings and unpack cognitive decisions. The Two Phase Debrief model was designed to support debriefers to spend equal amounts of time debriefing learner felt reactions and clinical decision making, guided by specific tools and skills for each phase. Australian nursing and paramedicine students (n = 19) and academics (n = 9) evaluated the Two Phase Debrief model using a qualitative descriptive design. Analysis of focus group data revealed three themes Valuing time for debrief, Valuing skills for debrief and Valuing emotions. Across the two disciplines, academics agreed learners would benefit from debriefing using Two Phase Debrief model but considered time a barrier. Nursing and paramedicine students felt the equal time spent exploring emotions and clinical reasoning contributed to a positive learning experience and that expert debriefers may not need disciplinary specific content knowledge. These and other findings discussed indicate there is more work needed to understand the appetite for and required skills of expert cross disciplinary simulation debriefing teams.Training a deep convolutional network from scratch requires a large amount of labeled data, which however may not be available for many practical tasks. To alleviate the data burden, a practical approach is to adapt a pre-trained model learned on the large source domain to the target domain, but the performance can be limited when the source and target domain data distributions have large differences. Some recent works attempt to alleviate this issue by imposing feature alignment over the intermediate feature maps between the source and target networks. However, for a source model, many of the channels/spatial-features for each layer can be irrelevant to the target task. Thus, directly applying feature alignment may not achieve promising performance. In this paper, we propose an Attentive Feature Alignment (AFA) method for effective domain knowledge transfer by identifying and attending on the relevant channels and spatial features between two domains. To this end, we devise two learnable attentive modules at both the channel and spatial levels. We then sequentially perform attentive spatial- and channel-level feature alignments between the source and target networks, in which the target model and attentive module are learned simultaneously. Moreover, we theoretically analyze the generalization performance of our method, which confirms its superiority to existing methods. Extensive experiments on both image classification and face recognition demonstrate the effectiveness of our method. The source code and the pre-trained models are available at https//github.com/xiezheng-cs/AFAhttps//github.com/xiezheng-cs/AFA.Spiking neural networks (SNNs) are regarded as effective models for processing spatio-temporal information. However, their inherent complexity of temporal coding makes it an arduous task to put forward an effective supervised learning algorithm, which still puzzles researchers in this area. In this paper, we propose a Recursive Least Squares-Based Learning Rule (RLSBLR) for SNN to generate the desired spatio-temporal spike train. During the learning process of our method, the weight update is driven by the cost function defined by the difference between the membrane potential and the firing threshold. The amount of weight modification depends not only on the impact of the current error function, but also on the previous error functions which are evaluated by current weights. In order to improve the learning performance, we integrate a modified synaptic delay learning to the proposed RLSBLR. We conduct experiments in different settings, such as spiking lengths, number of inputs, firing rates, noises and learning parameters, to thoroughly investigate the performance of this learning algorithm. The proposed RLSBLR is compared with competitive algorithms of Perceptron-Based Spiking Neuron Learning Rule (PBSNLR) and Remote Supervised Method (ReSuMe). NSC697923 Experimental results demonstrate that the proposed RLSBLR can achieve higher learning accuracy, higher efficiency and better robustness against different types of noise. In addition, we apply the proposed RLSBLR to open source database TIDIGITS, and the results show that our algorithm has a good practical application performance.This laboratory study aimed to characterize the dynamics of sitting during a 40 min computer task in 20 younger (YG) and 18 older (OG) computer users. The position of the center of pressure (COP) in anterior-posterior (AP) and medial-lateral (ML) direction was computed. The range, velocity, area, standard deviation (SD) and sample entropy (SaEn) values were extracted. The range, velocity and area of the COP displacement were larger in the AP while the SD and SaEn were respectively larger and smaller in both AP and ML for the OG than the YG. The findings revealed altered dynamics of sitting among older computer users.In Photosystem I (PS I), the role of the accessory chlorophyll (Chl) molecules, Chl2A and Chl2B (also termed A-1A and A-1B), which are directly adjacent to the special pair P700 and fork into the A- and B-branches of electron carriers, is incompletely understood. In this work, the Chl2A and Chl2B transient absorption ΔA0(λ) at a time delay of 100 fs was identified by ultrafast pump-probe spectroscopy in three pairs of PS I complexes from Synechocystis sp. PCC 6803 with residues PsaA-N600 or PsaB-N582 (which ligate Chl2B or Chl2A through a H2O molecule) substituted by Met, His, and Leu. The ΔA0(λ) spectra were quantified using principal component analysis, the main component of which was interpreted as a mutation-induced shift of the equilibrium between the excited state of primary donor P700⁎ and the primary charge-separated state P700+Chl2-. This equilibrium is shifted to the charge-separated state in wild-type PS I and to the excited P700 in the PS I complexes with the substituted ligands to the Chl2A and Chl2B monomers.
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