Anger treatment via CBAT delivered remotely: Outcomes on psychometric and self-monitored measures of anger.

Studies of anger treatment have often reported on reappraisal and relaxation techniques delivered in person to forensic and psychiatric samples. The present study evaluated an integrative programme of cognitive-behavioural affective therapy (CBAT) delivered remotely to chronic pain sufferers with comorbid anger. Volunteers (N = 54) were randomly assigned to either CBAT or an Emotional Education (EE) group, both receiving hour-long videorecorded sessions twice a week for 4 weeks plus weekly calls by telephone. At 1-month post-treatment, follow-up was conducted. Outcomes were measured using the Anger Parameters Scale (APS) and its five subscales (frequency, duration, intensity, latency and threshold) as well as daily self-monitored anger logs. As hypothesized, pre- to post-treatment decline in APS total scores was significant for CBAT, Hedges' g = 0.65, 95% CI [0.14, 1.16] but nonsignificant and small for EE, g = 0.17, CI [-0.41, 0.75]. At the primary endpoint (post-treatment), APS total scores were significantly lower for CBAT than for EE. Treatment gains were maintained till follow-up. On all five APS subscales, pre-post effect sizes were medium-sized for CBAT and generally small for EE. This picture was mirrored in the self-monitored frequency, duration and intensity of anger. Findings support the efficacy of CBAT over time, its comparative efficacy over EE and its ecological generalizability. Future research could expand sample size, reduce sample imbalance, extend follow-up and strengthen treatment potency with more sessions. The present study renews enthusiasm for teletherapy and is the first to demonstrate CBAT efficacy in treating maladaptive anger in the chronic pain population.

Demethylase FTO promotes mechanical stress induced osteogenic differentiation of BMSCs with up-regulation of HIF-1α.

BACKGROUND: In orthodontics, mechanical stress plays an important role in the process of bone remodeling. Mechanical stress has an effect on osteogenic differentiation of bone marrow-derived mesenchymal stem cells (BMSCs). However, the mechanism remains to be studied. The aim of this study is to investigate the effects of demethyltransferase fat mass and obesity-associated (FTO) on osteogenic differentiation of BMSCs under mechanical stress condition. METHODS AND RESULTS: The rat BMSCs were cultured in vitro, followed by flow cytometry to identify the cell surface antigens. Osteogenic differentiation of BMSCs was induced by mechanical stress by using the flexcell tension system for 6 h every day and 3 days in total. BMSCs were transfected by using plasmid for FTO knockdown. The expression level of FTO, hypoxia-inducible factor (HIF)-1α, runt-related transcription factor 2 (RUNX2), bone morphogenetic proteins (BMPs) and alkaline phosphatase (ALP) were measured by real-time qPCR, western blotting. ALP activity were determined by ALP staining assays. The expression of FTO and HIF-1α in BMSCs with mechanical stress were significantly higher than BMSCs without mechanical stress, also, the expression of osteogenic differentiation markers were higher in BMSCs with mechanical stress. Knockdown of FTO decreased expression of osteogenic differentiation marker and ALP activity in stretched BMSCs. In addition, the expression of HIF-1α was decreased after knocking down FTO. CONCLUSIONS: FTO promotes the expression of HIF-1α and osteogenic differentiation under the condition of mechanical stress. This finding may facilitate the clinical application of orthodontics and the mechanism research of mechanical stress-induced osteogenesis.

Parameters of anger as related to sensory-affective components of pain.

OBJECTIVES: Comorbid with chronic pain are negative emotions, anger being particularly salient. To evaluate specific relationships between pain and anger, the present study deconstructed anger into five parameters and dichotomized pain into sensory vs. affective components. Hypotheses were (i) anger parameters would be significantly and positively correlated with affective pain more so than with sensory pain, and (ii) individual parameters would be differentially related to pain components. METHODS: The Anger Parameters Scale (APS) was used to rate five parameters of anger: frequency, duration, intensity, latency, and threshold. Also rated was the physical sensation of pain and the degree of distress from pain. The volunteer sample comprised n=51 chronic pain patients, varying in ethnicity/race and educational level. RESULTS: Descriptive statistics revealed: APS total M=71.52, SD=16.68, Sensory pain M=6.27, SD=2.15, Affective pain M=5.76, SD=2.28. Sensory and affective pain were highly correlated, r=0.70. APS total was significantly associated with affective pain (r=+0.28) but hardly with sensory pain (r=0.12). Two anger parameters significantly correlated with affective pain: anger frequency (r=+0.30, p<0.05) and anger threshold (r=+0.33, p<0.05). Secondarily, certain educational levels (but not gender and ethnicity/race) were associated with significantly higher APS total scores. CONCLUSIONS: Scores for all variables were in the mid-range. As hypothesized, anger was more strongly correlated with distress/suffering of pain than with physical sensation of pain, though both pain components were closely coupled. Specific findings regarding frequency and threshold imply that being angry often and being oversensitive to provocation are associated with greater distress in this context. In deconstructing anger and dichotomizing pain, the present study extends previous research by elaborating on what aspects of anger are most related to which components of pain. Moreover, certain educational levels with higher levels of anger may need special attention. Further research could examine if treatment of anger might lead to corresponding changes in chronic pain.

Photovoltaic panels have altered grassland plant biodiversity and soil microbial diversity.

Introduction: Human concerns about fossil fuel depletion, energy security and environmental degradation have driven the rapid development of solar photovoltaic (PV) power generation. Most of the photovoltaic power generation plants are concentrated in desert, grassland and arable land, which means the change of land use type. However, there is still a gap in the research of the PV panel layout on grassland plant species diversity and ecological function. Methods: In this study, Illumina high-throughput sequencing technology was used to investigate the effects of PV panel arrangement on grassland plant species diversity and soil microbial diversity. In view of the differences in the microclimate at different sites of the PV panels, quadrates were arranged in front edge (FE), beneath the center of each panel (BP), back edge (BE), the uncovered interspace adjacent to each panel (IS) and the undisturbed grassland around the PV panels (Control), respectively. Results: PV panels (especially FE) significantly increased the total aboveground productivity (total AGB) and plant species diversity in grasslands. FE increased precipitation accumulation and plant species diversity directly and indirectly changed the diversity of soil bacterial and fungal communities. PV panels decreased the relative abundance of Actinobacteriota, while increased the relative abundance of Proteobacteria, Acidobacteriota, and Methylomirabilota. EC, Margalef' s richness and total AGB were the main factors affecting the composition of bacterial communities, while alkaline hydrolysis nitrogen (AN) and available phosphorus (AP) were the main factors affecting the composition of fungal communities. Discussion: In conclusion, the arrangement of PV panels increased the plant species diversity and soil microorganisms in grassland. This study provides important information for further understanding the impact of PV panels on grassland ecosystem function and is of great significance for maintaining grassland ecosystem function.

Deep Adversarial Inconsistent Cognitive Sampling for Multiview Progressive Subspace Clustering.

Deep multiview clustering methods have achieved remarkable performance. However, all of them failed to consider the difficulty labels (uncertainty of ground truth for training samples) over multiview samples, which may result in a nonideal clustering network for getting stuck into poor local optima during the training process; worse still, the difficulty labels from the multiview samples are always inconsistent, and such a fact makes it even more challenging to handle. In this article, we propose a novel deep adversarial inconsistent cognitive sampling (DAICS) method for multiview progressive subspace clustering. A multiview binary classification (easy or difficult) loss and a feature similarity loss are proposed to jointly learn a binary classifier and a deep consistent feature embedding network, throughout an adversarial minimax game over difficulty labels of multiview consistent samples. We develop a multiview cognitive sampling strategy to select the input samples from easy to difficult for multiview clustering network training. However, the distributions of easy and difficult samples are mixed together, hence not trivial to achieve the goal. To resolve it, we define a sampling probability with a theoretical guarantee. Based on that, a golden section mechanism is further designed to generate a sample set boundary to progressively select the samples with varied difficulty labels via a gate unit, which is utilized to jointly learn a multiview common progressive subspace and clustering network for more efficient clustering. Experimental results on four real-world datasets demonstrate the superiority of DAICS over state-of-the-art methods.

Mechanical stimulation induced osteogenic differentiation of BMSCs through TWIST/E2A/p21 axis.

The relationship between mechanical force and alveolar bone remodeling is an important issue in orthodontics because tooth movement is dependent on the response of bone tissue to the mechanical force induced by the appliances used. Mechanical cyclical stretch plays an essential role in the cell osteogenic differentiation involved in bone remodeling. However, the underlying mechanisms are unclear, particularly the molecular pathways regulated by mechanical stimulation. In the present study, we reported a dynamic change of p21 level in response to mechanical cyclical stretch, and shRNA-p21 in bone marrow mesenchymal stem cells (BMSCs) induced osteogenic differentiation. The mechanism was mediated through TWIST/E2A/p21 axis. These results supported the mechanical stimulation-induced osteogenic differentiation is negatively regulated by p21.