The efficacy and acceptability of group trauma-focused cognitive behavior therapy for the treatment of post-traumatic stress disorder in children and adolescents: A systematic review and meta-analysis.

BACKGROUND: Group trauma-focused cognitive behavior therapy (TF-CBT) is widely used to treat post-traumatic stress disorder (PTSD) in children and adolescents. However, the available evidence remains unclear. METHOD: PubMed, EMBASE, Cochrane, Web of Science, PsycINFO, CINAHL, ProQuest Dissertations, LILACS, and international trial registers were searched from database inception to April 30, 2022. We included randomized controlled trials (RCTs) that compared TF-CBT with any control condition for treating children and adolescents with PTSD. Analyses were performed using Review Manager version 5.3 and Stata 16.0. The risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool. This study was registered with PROSPERO (CRD42020206096). RESULTS: Eleven RCTs involving 1942 patients were included. Group TF-CBT was significantly more effective than other treatments at post-treatment (standardized mean difference [SMD]: -0.43, 95% confidence interval [CI]: -0.65 to -0.22), follow-up (SMD: -0.33, 95% CI: -0.52 to -0.13), and in relieving depressive symptoms (SMD: -0.29, 95% CI: -0.49 to -0.09), but not in terms of acceptability. Subgroup analyses showed that group TF-CBT was superior to other treatments in studies including children with post-traumatic stress symptoms (PTSS) (SMD: -0.54, 95% CI: -0.79 to -0.28) and psychiatric comorbidities (SMD: -0.48, 95% CI: -0.72 to -0.23). LIMITATIONS: The small sample sizes of identified studies limited some findings. CONCLUSION: When considering effectiveness at post-treatment and follow-up or the reduction of depressive symptoms, group TF-CBT could be a good choice for children and adolescents with PTSD. Among these patients, those with PTSS or psychiatric comorbidities may benefit the most.

The efficacy and acceptability of exposure therapy for the treatment of post-traumatic stress disorder in children and adolescents: a systematic review and meta-analysis.

BACKGROUND: Posttraumatic stress disorder (PTSD) is common among children and adolescents who have experienced traumatic events. Exposure therapy (ET) has been shown to be effective in treating PTSD in adults. However, its efficacy remains uncertain in children and adolescents. AIMS: To evaluate the efficacy and acceptability of ET in children and adolescents with PTSD. METHOD: We searched PubMed, EMBASE, Cochrane, Web of Science, PsycINFO, CINAHL, ProQuest, LILACS, and international trial registries for randomized controlled trials (RCTs) assessed ET in children and adolescents (aged ≤18 years) with PTSD up to August 31, 2020. The primary outcomes were efficacy (the endpoint score from PTSD symptom severity rating scales) and acceptability (all-cause discontinuation), secondary outcomes included efficacy at follow-up (score from PTSD scales at the longest point of follow-up), depressive symptoms (end-point score on depressive symptom severity rating scales) and quality of life/social functioning (end-point score on quality of life/social functioning rating scales). This study was registered with PROSPERO (CRD42020150859). RESULT: A total of 6 RCTs (278 patients) were included. The results showed that ET was statistically more efficacious than control groups (standardized mean differences [SMD]: - 0.47, 95% confidence interval [CI]: - 0.91 to - 0.03). In subgroup analysis, exposure therapy was more efficacious for patients with single type of trauma (SMD: - 1.04, 95%CI: - 1.43 to - 0.65). Patients with an average age of 14 years and older, ET was more effective than the control groups (SMD: - 1.04, 95%CI: - 1.43 to - 0.65), and the intervention using prolonged exposure therapy (PE) (SMD: - 1.04, 95%CI: - 1.43 to - 0.65) was superior than control groups. Results for secondary outcomes of efficacy at follow-up (SMD: - 0.64, 95%CI: - 1.17 to - 0.10) and depressive symptoms (SMD: - 0.58, 95%CI: - 0.93 to - 0.22) were similar to the previous findings for efficacy outcome. No statistically significant effects for acceptability and quality of life/social functioning were found. CONCLUSION: ET showed superiority in efficacy at post-treatment/follow-up and depressive symptoms improvement in children and adolescents with PTSD. Patients with single type of trauma may benefit more from ET. And ET is more effective in patients 14 years or older. Moreover, PE could be a better choice.

Deep-3D microscope: 3D volumetric microscopy of thick scattering samples using a wide-field microscope and machine learning.

Confocal microscopy is a standard approach for obtaining volumetric images of a sample with high axial and lateral resolution, especially when dealing with scattering samples. Unfortunately, a confocal microscope is quite expensive compared to traditional microscopes. In addition, the point scanning in confocal microscopy leads to slow imaging speed and photobleaching due to the high dose of laser energy. In this paper, we demonstrate how the advances in machine learning can be exploited to "teach" a traditional wide-field microscope, one that's available in every lab, into producing 3D volumetric images like a confocal microscope. The key idea is to obtain multiple images with different focus settings using a wide-field microscope and use a 3D generative adversarial network (GAN) based neural network to learn the mapping between the blurry low-contrast image stacks obtained using a wide-field microscope and the sharp, high-contrast image stacks obtained using a confocal microscope. After training the network with widefield-confocal stack pairs, the network can reliably and accurately reconstruct 3D volumetric images that rival confocal images in terms of its lateral resolution, z-sectioning and image contrast. Our experimental results demonstrate generalization ability to handle unseen data, stability in the reconstruction results, high spatial resolution even when imaging thick (∼40 microns) highly-scattering samples. We believe that such learning-based microscopes have the potential to bring confocal imaging quality to every lab that has a wide-field microscope.

Advances in pathogenesis and nanoparticles (NPs)-mediated treatment of psoriasis.

Psoriasis is a chronic papulosquamous skin disease with an autoimmune pathogenic traits and strong genetic predisposition. In the past few decades, with the rapid development of molecular biology and cell biology, the inherent pathogenesis of psoriasis has been gradually elucidated, in which cytokine inflammatory loops, cell signaling pathways, and epigenetic factors such as miRNAs have been demonstrated to play important roles in regulating the development and progression of psoriasis. More importantly, understanding the pathogenesis of psoriasis has promoted the development of effective treatment for psoriasis. In this review, we systemically summarized the molecular mechanisms regulating the development and progression psoriasis, introduced various therapeutics used for clinical psoriasis therapy, and highlighted the recent advances in nanoparticles (NPs)-mediated drug delivery for psoriasis treatment.

Rechargeable Zinc-Air Battery with Ultrahigh Power Density Based on Uniform N, Co Codoped Carbon Nanospheres.

Highly efficient catalysts for both oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) are key to the commercialization of rechargeable zinc-air batteries (ZABs). In this work, a catalyst with uniform nanospherical morphology was prepared from cobalt nitrate, acetylacetone, and hydrazine hydrate. The final catalyst possesses high ORR and OER performances, with a half-wave potential of 0.911 V [vs reversible hydrogen electrode (RHE)] for ORR and a low potential of 1.57 V (vs RHE) at 10 mA cm-2 for OER in 0.1 M KOH solution. Specially, a ZAB based on the catalyst demonstrates an ultrahigh power density of 479.1 mW cm-2, as well as excellent stability, and potential in practical applications.

Spectral Camera based on Ghost Imaging via Sparsity Constraints.

The image information acquisition ability of a conventional camera is usually much lower than the Shannon Limit since it does not make use of the correlation between pixels of image data. Applying a random phase modulator to code the spectral images and combining with compressive sensing (CS) theory, a spectral camera based on true thermal light ghost imaging via sparsity constraints (GISC spectral camera) is proposed and demonstrated experimentally. GISC spectral camera can acquire the information at a rate significantly below the Nyquist rate, and the resolution of the cells in the three-dimensional (3D) spectral images data-cube can be achieved with a two-dimensional (2D) detector in a single exposure. For the first time, GISC spectral camera opens the way of approaching the Shannon Limit determined by Information Theory in optical imaging instruments.

Life cycle cost optimization of biofuel supply chains under uncertainties based on interval linear programming.

The aim of this work was to develop a model for optimizing the life cycle cost of biofuel supply chain under uncertainties. Multiple agriculture zones, multiple transportation modes for the transport of grain and biofuel, multiple biofuel plants, and multiple market centers were considered in this model, and the price of the resources, the yield of grain and the market demands were regarded as interval numbers instead of constants. An interval linear programming was developed, and a method for solving interval linear programming was presented. An illustrative case was studied by the proposed model, and the results showed that the proposed model is feasible for designing biofuel supply chain under uncertainties.

Determining the life cycle energy efficiency of six biofuel systems in China: a Data Envelopment Analysis.

This aim of this study was to use Data Envelopment Analysis (DEA) to assess the life cycle energy efficiency of six biofuels in China. DEA can differentiate efficient and non-efficient scenarios, and it can identify wasteful energy losses in biofuel production. More specifically, the study has examined the efficiency of six approaches for bioethanol production involving a sample of wheat, corn, cassava, and sweet potatoes as feedstocks and "old," "new," "wet," and "dry" processes. For each of these six bioethanol production pathways, the users can determine energy inputs such as the embodied energy for seed, machinery, fertilizer, diesel, chemicals and primary energy utilized for manufacturing, and outputs such as the energy content of the bioethanol and byproducts. The results indicate that DEA is a novel and feasible method for finding efficient bioethanol production scenarios and suggest that sweet potatoes may be the most energy-efficient form of ethanol production for China.

Design and modeling of sustainable bioethanol supply chain by minimizing the total ecological footprint in life cycle perspective.

The purpose of this paper is to develop a model for designing the most sustainable bioethanol supply chain. Taking into consideration of the possibility of multiple-feedstock, multiple transportation modes, multiple alternative technologies, multiple transport patterns and multiple waste disposal manners in bioethanol systems, this study developed a model for designing the most sustainable bioethanol supply chain by minimizing the total ecological footprint under some prerequisite constraints including satisfying the goal of the stakeholders', the limitation of resources and energy, the capacity of warehouses, the market demand and some technological constraints. And an illustrative case of multiple-feedstock bioethanol system has been studied by the proposed method, and a global best solution by which the total ecological footprint is the minimal has been obtained.

Aberrant Gi protein coupled receptor-mediated cell survival signaling in rheumatoid arthritis B cell lines.

Sphingosine 1-phosphate (S1P) is a pleiotropic bioactive lipid that transmits potent signals through a family of G protein coupled receptors with resultant anti-apoptotic and pro-angiogenic effects. We have recently reported that lymphoblastoid B cell lines (LCLs) from rheumatoid arthritis (RA) patients are resistant to Fas-mediated cell death due to over-production of S1P, secondary to over-activity of sphingosine kinase-1 (SphK1). Here we investigated the signaling events that S1P triggers in those cells. Our results show that RA-derived LCLs display increased constitutive enzymatic activity of phosphatidylinositol 3-kinase (PI3K). Incubation of LCLs with a PI3K inhibitor wortmannin reversed PI3K over-activity and the resistance to Fas-mediated cell death. Incubation of RA LCLs with nanomolar concentration of S1P triggered exaggerated activation of both SphK and PI3K in RA LCLs compared to control cells. PI3K was mapped upstream of SphK, since wortmannin could block SphK activation by S1P. S1P signaling effect could be blocked by the Gi/G0 protein inhibitor, pertussis toxin and by an inhibitor of S1P-receptor interaction, suramin. S1P receptor expression levels did not appear to be the cause of disparate S1P-triggered signaling, since LCLs from RA patients and their healthy twin controls did not show statistically significant differences in the expression levels of the five known S1P receptors, as determined by quantitative real time reverse transcription-polymerase chain reaction analyses. Thus, we conclude that Fas death signaling aberration in RA LCLs is caused by extracellular S1P, which triggers PI3K-dependent SphK over-activity through a Gi protein-coupled receptor-mediated signaling cascade.

Sphingosine kinase 1-mediated inhibition of Fas death signaling in rheumatoid arthritis B lymphoblastoid cells.

OBJECTIVE: It is becoming increasingly apparent that B cells play an important role in the pathogenesis of rheumatoid arthritis (RA). Due to the scarcity of B cells in RA, it has been technically difficult to functionally characterize B cell apoptosis in this disease. As a necessary first step to identify candidate aberrations, we investigated Fas-mediated signaling events in immortalized peripheral blood B lymphoblastoid cell lines (LCLs) from patients with RA and controls. METHODS: Cell death was determined by the MTS assay, and apoptosis was detected by the TUNEL assay and DNA laddering. Proteolytic activation of caspase 3 was determined by immunoblotting, and its enzymatic activity was determined by a fluorometric technique. Messenger RNA (mRNA) expression was quantified by real-time polymerase chain reaction (PCR) analysis. The functional role of sphingosine kinase (SPHK) was determined by measuring its enzymatic activity, by quantifying the levels of its product, sphingosine 1-phosphate (S1P), and by investigating the ability of the SPHK inhibitor N,N-dimethylsphingosine and isozyme-specific small interfering RNA (siRNA) oligonucleotides to reverse signaling aberrations. RESULTS: LCLs from patients with RA displayed disease-specific Fas-mediated signal transduction impairment with consequent resistance to cell death. RA LCLs displayed high constitutive SPHK activity and increased levels of S1P. Real-time PCR analysis showed higher SPHK-1 mRNA expression levels in RA patients compared with paired controls. Increased SPHK-1 (but not SPHK-2) mRNA levels were observed in synovial tissue from RA patients. Competitive inhibitors of SPHK reversed the resistance of RA LCLs to Fas-induced apoptosis. Additionally, resistance to Fas-mediated signaling was reversed by siRNA oligonucleotides specific for SPHK-1 but not by oligonucleotides specific for SPHK-2. CONCLUSION: These findings demonstrate disease-specific resistance to Fas-mediated death signaling in patients with RA and implicate increased SPHK-1 activity as the cause of this aberration.