Arts therapies for mental disorders in COVID-19 patients: a comprehensive review

Background and objectiveThe COVID-19 global pandemic has necessitated the urgency for innovative mental health interventions. We performed a comprehensive review of the available literature on the utility and efficacy of arts therapies in treating mental health problems, with special emphasis on their deployment during the COVID-19 pandemic, aiming to provide some evidence for the application of this therapy.MethodsThe potential studies were systematically sourced from five authoritative databases: PubMed, Embase, the Cochrane Library, Web of Science, and the CNKI database. The evaluation of these studies was conducted based on stringent criteria, including validity, suitability, therapeutic potential, and consistency. Each piece of included literature was meticulously scored in accordance with these criteria, thus ensuring the inclusion of only the most robust studies in this review. The data from these Randomized Controlled Trials (RCTs) were carefully extracted using the PICO(S) framework, ensuring a comprehensive and systemic approach to data collection. In order to emphasize the variability in the effects of differing arts therapies on COVID-19-induced psychiatric disturbances, the sourced literature was systematically categorized and scrutinized based on distinct modalities.ResultsOut of the 7,250 sourced articles, 16 satisfied the inclusion conditions. The therapies were predominantly meditation (n = 7), supplemented by individual studies on color therapy (n = 3), music therapy (n = 2), and single studies on horticultural therapy, dance therapy, mindfulness and music therapy, and yoga and music therapy (n = 4 collectively). These various forms of arts therapies had a positive short to medium-term impact on the mental health of COVID-19 patients. Besides improving patients' physical and mental health, these therapies can also be employed to mitigate mental health issues among healthcare professionals.ConclusionThe COVID-19 pandemic has profound and long-lasting implications for public mental health. Diverse forms of arts therapies are potentially effective in addressing related psychiatric symptoms. The integration of artificial intelligence might further enhance the efficacy and scalability of arts therapies in future implementations

Transarterial chemoembolization with or without multikinase inhibitors for patients with unresectable hepatocellular carcinoma: a systematic review and meta-analysis of randomized controlled trials

BackgroundRandomized controlled trials (RCTs) testing the combination therapy of transarterial chemoembolization (TACE) plus multikinase inhibitor (MKI) in patients with unresectable hepatocellular carcinoma (HCC) have yielded inconsistent results.MethodsIn this work, a systematic review and meta-analysis was performed to compare the TACE+MKI combination therapy versus TACE monotherapy in HCC patients with time to progression (TTP) adopted as primary outcome.ResultsA total of 10 RCTs comprising 2837 patients receiving combination therapy (TACE plus sorafenib, brivanib, orantinib or apatinib) were included. TACE+MKI significantly prolonged TTP (hazard ratio [HR] 0.74, 95% CI 0.62-0.89, p=0.001) versus TACE monotherapy. Subgroup analysis suggested MKI administration before TACE might be preferable to post-TACE MKI for TTP. TACE+MKI also increased objective response rate (ORR) (risk ratio [RR] 1.17, 95% CI 1.03-1.32, p=0.01), but failed to improve overall survival (OS) (HR 0.98, 95% CI 0.86-1.13, p=0.82) and progression-free survival (PFS) (HR 0.75, 95% CI 0.50-1.12, p=0.16). The incidence of any adverse event (AE) did not significantly differ between TACE+MKI and TACE groups (RR 1.17, 95% CI 0.96-1.42, p=0.01), while serious AEs showed significant difference (RR 1.41, 95% CI 1.26-1.59, p<0.0001). Nevertheless, these AEs showing significant difference were mainly associated with MKI toxicities rather than TACE. ConclusionsTACE+MKI combination therapy improved TTP and ORR but not OS and PFS in patients with unresectable HCC. Further high-quality trials are needed to verify these clinical benefits, and our findings could be very informative for future trial design

Theory Research and Practice of Structure Safety Measures and Deformation Prediction in Goaf

Recently, coal mining in Jining has extended to the crowded cities and villages, bringing out the deformation of the rock in these areas, which leads to the damage of the civil and industrial buildings. Therefore, the ground surface deformation and the damage characteristics of the buildings have been studied, and appropriate safety measures have been taken according to different damage characteristics to reduce or even to avoid the damage of the buildings. The effect of different mining schemes on the ground has been analyzed, and the effects on important buildings have been studied. Safety measures have been taken on the space truss, oil tanks and pipelines of gas station and tensile stress of soil have been released by pressure releasing groove around the station. Some conclusions have reference significance for other relevant projects

Effectiveness and safety of 99Tc-methylene diphosphonate as a disease-modifying anti-rheumatic drug (DMARD) in combination with conventional synthetic (cs) DMARDs in the treatment of rheumatoid arthritis: A systematic review and meta-analysis of 34 randomized controlled trials

Background: Technetium [99Tc] methylene diphosphonate injection (99Tc-MDP) is widely used for the treatment of rheumatoid arthritis (RA), but there is still insufficient evidence for its application. Through the utilization of meta-analysis and systematic reviews, this study aimed to evaluate the effectiveness and safety of 99 TC-MDP in combination with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) for RA. Methods: This study was registered on PROSPERO in advance (CRD42021220780). A systematic search was conducted in PubMed, Embase, the Cochrane Library, and multiple international public databases from their inception to April 2023 to identify clinical randomized controlled trials exploring the use of 99Tc-MDP combined with csDMARDs in the treatment of RA. Each outcome was subjected to meta-analysis, and the quality of evidence was assessed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The American College of Rheumatology's 50 %/70 % response criteria scores (ACR50/70) scores were utilized as the primary effectiveness outcomes, and risks were measured by assessing the rates of AEs. Moreover, secondary efficacy outcomes were evaluated, including the Disease Activity Score 28 (DAS28) and bone mineral density (BMD) as joint function indicators and the erythrocyte sedimentation rate (ESR) and interleukin-17 (IL-17) as inflammatory indicators. Results: In this meta-analysis, a total of 34 studies (2296 patients) were included out of 1149 retrieved studies. The summarized results showed that the treatment group treated with the combination of 99Tc-MDP and csDMARDs had significantly higher ACR50 (RR = 1.32, 95 % CI: 1.13–1.55, P = 0.0004) and ACR70 (RR = 1.40, 95 % CI: 1.07–1.82, P = 0.01) scores than the control group receiving csDMARDs alone. In addition, the overall incidence of AEs was lower with the combination of 99Tc-MDP and csDMARDs than with csDMARDs alone (RR = 0.75, 95 % CI: 0.60–0.93, P = 0.009), but the possibility of phlebitis was higher in the treatment group (RR = 4.15, 95 % CI: 1.04–16.50, P = 0.04). In addition, the combination of 99Tc-MDP and csDMARDs had advantages over csDMARDs alone in improving DAS28 (WMD = 1.56, 95 % CI: 0.86–2.25, P < 0.0001), BMD (SMD = 1.12, 95 % CI 0.46–1.78, P = 0.0008), ESR (SMD = 0.71, 95 % CI 0.45–0.97, P < 0.00001), and IL-17 (WMD = 5.82, 95 % CI 3.86–7.77, P < 0.00001). However, the above results might have been influenced by the 99Tc-MDP dosage, csDMARD category, and treatment duration. Combining methotrexate and leflunomide, administering continuous treatment for 24 weeks, or using 3 sets of 99Tc-MDP doses (16.5 mg) may be the optimal 99Tc-MDP treatment plan for RA. Conclusion: Compared with csDMARD therapy alone, the combination therapy with 99Tc-MDP is more effective for RA patients and is associated with a lower overall incidence of adverse events, although the possibility of phlebitis was higher. However, due to the inherent limitations of the included RCTs, high-quality clinical trials are still needed to further assess the effectiveness and safety of this combination therapy

Prognostic Value and Immune Infiltration of Anoikis-related LncRNAs in Lung Adenocarcinoma

Objective To explore the prognostic value and immune infiltration landscape of anoikis-related long noncoding RNAs (arlncRNAs) in lung adenocarcinoma. Methods RNA-seq and clinical data of lung adenocarcinoma were downloaded from the TCGA database, and anoikis-related genes were obtained from the GeneCards and Harmonizome databases. Coexpression, differential, and WGCNA analyses were performed to screen differentially expressed arlncRNAs closely related to the occurrence of lung adenocarcinoma. A prognostic risk model was then constructed based on the arlncRNAs, and its predictive efficacy was further validated. Finally, consensus clustering was used to identify the molecular subtypes associated with anoikis in lung adenocarcinoma. Results Seven prognostic arlncRNAs were identified, and the prognostic risk models established based on them had AUC values of ROC curves greater than 0.7. Survival and immune infiltration analyses revealed that low-risk patients had high overall survival and immune infiltration, implying that they experienced good immune treatment effects. Drug sensitivity analysis showed that the high-risk patients were more sensitive to commonly used chemotherapeutic agents than the low-risk patients. According to the expression of model genes, subtypes C1 and C2 were identified through consensus clustering, and C1 showed a good prognosis. Conclusion The prognostic risk model based on the seven arlncRNAs can effectively predict the prognosis of lung adenocarcinoma patients. The results of immune-related and drug sensitivity analyses provide a reference for the precise individualized treatment of patients with lung adenocarcinoma

Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features

Fish object detection has attracted significant attention because of the considerable role that fish play in human society and ecosystems and the necessity to gather more comprehensive fish data through underwater videos or images. However, fish detection has always faced difficulties with the occlusion problem because of dense populations and underwater plants that obscure them, and no perfect solution has been found until now. To address the occlusion issue in fish detection, the following effort was made: creating a dataset of occluded fishes, integrating the innovative modules in Real-time Detection Transformer (RT-DETR) into You Only Look Once v8 (YOLOv8), and applying repulsion loss. The results show that in the occlusion dataset, the mAP of the original YOLOv8 is 0.912, while the mAP of our modified YOLOv8 is 0.971. In addition, our modified YOLOv8 also has better performance than the original YOLOv8 in terms of loss curves, F1–Confidence curves, P–R curves, the mAP curve and the actual detection effects. All these indicate that our modified YOLOv8 is suitable for fish detection in occlusion scenes

A peak shape model with high-energy tailing for high-resolution alpha-particle spectra

The measurement of alpha-particle spectra using semiconductor silicon detectors is an important radioactive analysis method for alpha emitters. It is a common situation that the peaks of alpha-particles with nearby energies are overlapping even with high-resolution alpha-particle spectrometry. In this work, an improved peak shape model named EMG-Landau (Exponentially Modified Gaussian with Landau), taking the high-energy tailing into account, was proposed based on the traditional EMG (Exponentially Modified Gaussian) model. Then the EMG-Landau model was effectively tested by using IAEA reference alpha spectra for unfolding performance and EUROMET reference alpha spectra for estimating the activity ratio. Compared with the traditional EMG model, the EMG-Landau model could be more accurate to fit high-resolution alpha spectra with high-energy tailing

Carbon and Nitrogen Burial and Response to Climate Change and Anthropogenic Disturbance in Chaohu Lake, China

Lakes are a crucial component of the global carbon and nitrogen cycle. As a trend of enhanced human activities and climate change, the mechanisms of burial remain poorly understood. In this study, diverse biogeochemical techniques were applied to analyze the temporal variation of organic carbon and nitrogen burial rates in Chaohu Lake. The results showed that burial rates have ranged from 9.39 to 35.87 g C m&#8722;2 yr&#8722;1 for carbon and from 1.66 to 5.67 g N m&#8722;2 yr&#8722;1 for nitrogen since the 1860s. The average rates were 19.6 g C m&#8722;2 yr&#8722;1 and 3.14 g N m&#8722;2 yr&#8722;1 after the 1970s, which were significantly higher than the rate before the 1970s, showing an increasing trend. The decrease of C/N ratios as well as organic matter &#948;13C values indicates that the major organic matter source in sediment has been algal production since the 1970s. The increase of &#948;15N values indicated that the promotion in productivity was stimulated by nutrient input from sewage and agricultural runoff. The burial rates of organic carbon and nitrogen were significantly positively related to socio-economics and temperature, indicating that Chaohu Lake will become an increasing carbon and nitrogen pool under conditions of enhanced human activities and intensive precipitation

Pulse-Shape Discrimination of SiPM Array-Coupled CLYC Detector Using Convolutional Neural Network

Cs2LiYCl6: Ce3+ (CLYC) is a dual-mode gamma-neutron scintillator with a medium gamma-ray resolution and pulse-shape discrimination (PSD) capability. The PSD performance of CLYC is greatly weakened when coupled with silicon photomultipliers (SiPMs) because of SiPMs’ low detection efficiency for the ultrafast Core-Valence-Luminescence (CVL) component under gamma excitation. In our previous work, the PSD Figure-of-Merit (FoM) value was optimized to 2.45 at the gamma-equivalent energy region of the thermal neutron by using the charge comparison method. However, this value was reduced to 1.37 at the lower gamma-equivalent energy region of more than 325 keV, and neutrons were difficult to distinguish from gamma rays. Hence, new algorithms should be studied to improve the PSD performance at low gamma-equivalent energy regions. Convolutional Neural Networks (CNNs) have excellent image recognition capabilities, and thus, neutron and gamma-ray waveforms can be discriminated by their characteristics through a known training set. In this study, neutron and gamma-ray waveforms were measured with a 137Cs source and moderated 252Cf source via an SiPM array-coupled CLYC detector and divided into two groups: training and PSD testing. The CNN training set comprised 137Cs characteristic gamma-ray waveforms and thermal neutron waveforms that were discriminated by the charge comparison method from the training group. A CNN with two convolution-pooling layers was designed to accomplish PSD with the test group. The PSD FoM value of the CNN method was calculated to be 37.20 at the gamma-equivalent energy region of more than 325 keV. This result was much higher than that of the charge comparison method, indicating that neutrons and gamma rays could be better distinguished with the CNN method, especially at low gamma-equivalent energy regions