MAPRE3 as an epigenetic target of EZH2 restricts ovarian cancer proliferation in vitro and in vivo.

Ovarian cancer (OC) is a lethal gynecologic cancer and the common cause of death within women worldwide. The polycomb group protein enhancer of zeste homolog 2 (EZH2) is a histone methyltransferase highly expressed in various tumors, including OC. However, the mechanistic basis of EZH2 oncogenic activity in OC remain incompletely understood. Bioinformatics analysis showed that the expression of MAPRE3 was lower in OC tissues than in normal tissues, and was positively correlated with the overall survival. MAPRE3 overexpression decreased cell growth, inducing cell cycle arrest and apoptosis in OC cells, whereas MAPRE3 silencing promoted proliferation and accelerated cell cycle progression of OC cells. The in vivo study validated that overexpression of MAPRE3 impeded tumor formation and growth of OC xenografts in nude mice. In addition, knockdown of EZH2 in OC cells downregulated H3K27me3 expression and increased MAPRE3 expression. Inhibiting EZH2 in OC cells reduced the enrichment of H3K27me3 on the promoter of MAPRE3. Furthermore, MAPRE3 silencing significantly reversed changes in the expression of cell cycle and apoptosis-related markers and cell growth mediated by EZH2 knockdown in OC cells. MAPRE3 functions as a suppressor of OC and is epigenetic repressed by EZH2, suggesting a potential therapeutic strategy for OC by targeting EZH2/MAPRE3 axis.

Boron-based ternary MgTa2B6 cluster: a turning nanoclock with dynamic structural fluxionality.

Boron-based complex clusters are a fertile ground for the exploration of exotic chemical bonding and dynamic structural fluxionality. Here we report on the computational design of a ternary MgTa2B6 cluster via global structural searches and quantum chemical calculations. The cluster turns out to be a new member of the molecular rotor family, closely mimicking a turning clock at the subnanoscale. It is composed of a hexagonal B6 ring with a capping Ta atom at the top and bottom, whereas the Mg atom is linked to one Ta site as a radial Ta-Mg dimer. These components serve as the dial, axis, and hand of a nanoclock, respectively. Chemical bonding analyses reveal that the inverse sandwich Ta2B6 motif in the cluster features 6π/6σ double aromaticity, whose electron counting conforms to the (4n + 2) Hückel rule. The Ta-Mg dimer has a Lewis-type σ bond, and the Mg site has negligible bonding with B6 ring. The ternary cluster can be formulated as an [Mg]0[Ta2B6]0 complex. Molecular dynamics simulations suggest that the cluster is structurally fluxional analogous to a nanoclock, even at a low temperature of 100 K. The Ta-Mg hand turns almost freely around the Ta2 axis and along the B6 dial. The tiny intramolecular rotation barrier is less than 0.3 kcal mol-1, being dictated by the bonding nature of double 6π/6σ aromaticity. The present system offers a new type of molecular rotor in physical chemistry.

Background-free dual-mode optical and 13C magnetic resonance imaging in diamond particles.

Multimodal imaging-the ability to acquire images of an object through more than one imaging mode simultaneously-has opened additional perspectives in areas ranging from astronomy to medicine. In this paper, we report progress toward combining optical and magnetic resonance (MR) imaging in such a "dual" imaging mode. They are attractive in combination because they offer complementary advantages of resolution and speed, especially in the context of imaging in scattering environments. Our approach relies on a specific material platform, microdiamond particles hosting nitrogen vacancy (NV) defect centers that fluoresce brightly under optical excitation and simultaneously "hyperpolarize" lattice [Formula: see text] nuclei, making them bright under MR imaging. We highlight advantages of dual-mode optical and MR imaging in allowing background-free particle imaging and describe regimes in which either mode can enhance the other. Leveraging the fact that the two imaging modes proceed in Fourier-reciprocal domains (real and k-space), we propose a sampling protocol that accelerates image reconstruction in sparse-imaging scenarios. Our work suggests interesting possibilities for the simultaneous optical and low-field MR imaging of targeted diamond nanoparticles.

Insight gained via ultra-performance liquid chromatography tandem mass spectrometry-based metabolomics: Protective effect of Artemisia argyi H.Lév. & Vaniot essential oil on lipopolysaccharide-induced liver injury mice.

Artemisia argyi H.Lév. & Vaniot essential oil (AAEO) has shown pharmacological effects such as anti-inflammation, antioxidant, and anti-tumor properties. However, the protective effect of AAEO on lipopolysaccharide (LPS)-induced liver injury and its potential protective mechanism are still unclear. In this study, we used ultra-performance liquid chromatography tandem mass spectrometry metabolomics techniques to investigate the changes in liver tissue metabolites in mice exposed to LPS with or without AAEO treatment for 14 days. The biochemical results showed that compared with the control group, AAEO significantly reduced the levels of liver functional enzymes, suggesting a significant improvement in liver injury. In addition, the 18 differential metabolites identified by metabolomics were mainly involved in the reprogramming of arachidonic acid metabolism, tryptophan metabolism, and purine metabolism. AAEO could significantly inhibit the expression of COX-2, IDO1, and NF-κB; enhance the body's anti-inflammatory ability; and alleviate liver injury. In summary, our study identified the protective mechanism of AAEO on LPS-induced liver injury at the level of small molecular metabolites, providing a potential liver protective agent for the treatment of LPS-induced liver injury.

A hybrid water quality prediction model based on variational mode decomposition and bidirectional gated recursive unit.

Water quality predicted accuracy is beneficial to river ecological management and water pollution prevention. Owing to water quality data has the characteristics of nonlinearity and instability, it is difficult to predict the change of water quality. This paper proposes a hybrid water quality prediction model based on variational mode decomposition optimized by the sparrow search algorithm (SSA-VMD) and bidirectional gated recursive unit (BiGRU). First, the sparrow search algorithm selects fuzzy entropy (FE) as the fitness function to optimize the two parameters of VMD, which improves the adaptability of VMD. Second, SSA-VMD is used to decompose the original data into several components with different center frequencies. Finally, BiGRU is employed to predict each component separately, which significantly improves predicted accuracy. The proposed model is validated using data about dissolved oxygen (DO) and the potential of hydrogen (pH) from the Xiaojinshan Monitoring Station in Qiandao Lake, Hangzhou, China. The experimental results show that the proposed model has superior prediction accuracy and stability when compared with other models, such as EMD-based models and other CEEMDAN-based models. The prediction accuracy of DO can reach 97.8% and pH is 96.1%. Therefore, the proposed model can provide technical support for river water quality protection and pollution prevention.

A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit.

Dissolved oxygen is one of the important comprehensive indicators of river water quality, which reflects the degree of pollution in the water body. Monitoring and predicting dissolved oxygen are an important tool for water quality management, which helps to effectively maintain water ecological balance and prevent environmental problems. A single model cannot describe the dynamic characteristics of dissolved oxygen sequence, which affects the prediction accuracy. In order to obtain more accurate dissolved oxygen prediction results, decomposition techniques are commonly used to extract the main fluctuations and trends of water quality sequences. However, the high-frequency modes obtained from decomposition are still unstable. To solve this problem, this paper proposed a hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit. Firstly, dissolved oxygen sequence is preliminarily decomposed by complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and obtain several intrinsic mode functions (IMF). The fuzzy entropy (FE) is calculated to quantify the complexity of the IMF. Then, variational mode decomposition improved by northern goshawk optimization is used to decompose the IMF with higher entropy. The nonlinearity and instability of the sequence are further weakened. Finally, the bidirectional gate recurrent unit (BiGRU) neural network is used to predict each IMF component, and the final prediction result is obtained by reconstructing the prediction results of each component. In order to verify the effectiveness of the proposed model, this paper selects the dissolved oxygen data of Xin'anjiang Reservoir as the research object. The experimental results show that the RMSE, MAE, MAPE, and R2 of the proposed model are 0.1164, 0.0894, 1.0403%, and 0.9939, respectively, which is best among other comparative prediction models (BP, LSTM, GRU, BiGRU, EMD-BiGRU, CEEMDAN-BiGRU, VMD-BiGRU, and GNO-VMD-BiGRU). Therefore, this model effectively deals with high volatility and nonlinear dissolved oxygen data and provides reference for water environment management and ecological protection.

De-Ammonium Ba0.18V2O4.95/NH4V4O10 Film Electrodes as High-Performance Cathode Materials for Magnesium-Ion Batteries.

Magnesium-ion batteries (MIBs) have been pushed into the research boom in the post-lithium-ion batteries era due to their low cost, no dendrite hazard, and high capacity. However, finding suitable cathode materials to improve the slow kinetics of Mg2+ is an ongoing challenge. In this work, Ba0.18V2O4.95/NH4V4O10 film electrodes were grown in one step on indium tin oxide (ITO) conductive glass using a low-temperature liquid-phase deposition method. Temperature was used as the probe condition, and it was concluded that the films annealed at 400 °C had suitable crystallinity and de-ammonium lattice space. At lower current density, with 0.5 M Mg(ClO4)2/PC as the electrolyte, it exhibited an initial discharge capacity of 130.99 mA h m-2 at 210 mA m-2 and 106.52% capacity retention after 100 cycles. In addition, it exhibited excellent electrochemical performance in long-term cycling (92.98% capacity retention after 300 cycles at 600 mA m-2). According to the results of ex situ X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and high-resolution transmission electron microscopy (HRTEM), the removal of NH4+ created more lattice space, assisting Ba0.18V2O4.95 to increase the transfer channels of Mg2+, providing more active sites to promote diffusion kinetics (the average DMg2+ was 2.07 × 10-12 cm2 s-1) and specific capacity. Therefore, these film electrodes for scalable Mg2+ storage are promising MIB cathode candidates that exhibit good performance advantages in storage applications.

Activation of Epac in the BLA disrupts reconsolidation and attenuates heroin-seeking behaviour.

The susceptibility to drug cravings evoked by stimuli poses a formidable hurdle in the treatment of addiction and the prevention of relapse. Pharmacological interventions targeting drug-associated memories hold promise for curbing relapse by impeding the process of memory reconsolidation, predominantly governed by cAMP signalling. Exchange Protein Activated by cAMP (Epac) serves as a distinctive mediator of cAMP signalling, which has been implicated in reinforcing the effects of cocaine and facilitating the acquisition. Nonetheless, the role of Epac in heroin-related memory and the subsequent seeking behaviour remains enigmatic. In this study, we explored the impact of Epac activation on the reconsolidation process of drug-related memories associated with heroin self-administration. Over the course of 10 consecutive days, rats underwent training, wherein they acquired the behaviour of nose poking to obtain heroin accompanied by a tone + light cue. This nose-poking behaviour was subsequently extinguished when heroin infusion and cue presentation were discontinued. Subsequently, we administered 8-pCPT-cAMP (8-CPT), an Epac-specific activator, into the basolateral amygdala at various time points, either in the presence or absence of a conditioned stimulus. Our findings demonstrate that administering 8-CPT immediately after memory retrieval effectively reduces cue- and heroin-induced reinstatement, with the observed effects persisting significantly for a minimum of 28 days. However, infusion of 8-CPT for a duration of 6 h following the memory retrieval trial, or without it altogether, had no discernible impact. Thus, these findings strongly suggest that Epac activation can disrupt the reconsolidation of heroin-associated memory, thereby diminishing the reinstatement of heroin-seeking behaviour.

Hepatoprotective effect of Artemisia Argyi essential oil on bisphenol A-induced hepatotoxicity via inhibition of ferroptosis in mice.

The environmental pollutant bisphenol A (BPA), used in the manufacture of plastic packaging materials for various diets, is widely distributed in the environment and causes severe hepatotoxicity by inducing oxidative stress. Artemisia argyi essential oil (AAEO), a volatile oil component isolated from Artemisia argyi H.Lév. & Vaniot, has pharmacological effects, especially for hepatoprotective actions. However, the potential effect of AAEO in BPA induced hepatotoxicity has not been characterized. First, we analyzed the chemical composition in AAEO by gas chromatography-mass spectrometry. Herein, we investigated the effect of AAEO on hepatic metabolic changes in mice exposed to BPA. Results showed that compared with the BPA group, AAEO could reduce the level of liver function enzymes in BPA mice serum, and ameliorate hepatic lesions and fibrosis. Additionally, 20 differential metabolites screened by metabolomics were mainly involved in the reprogramming of glutathione metabolism, purine metabolism, and polyunsaturated fatty acid synthesis. Moreover, AAEO could reduce hepatic ferroptosis induced by BPA, as demonstrated by reducing xanthine oxidase activity, up-regulating the activities of glutathione peroxidase 4 (GPX4), superoxide dismutase, and catalase and the expression of SLC7A11 to promote the glutathione synthetic, while inhibiting transferrin receptor 1 (TFR1) expression to reduce the accumulation of Fe2+ in cells. Therefore, our study identified AAEO as a hepatic protectant against BPA-induced hepatotoxicity by reversing the occurrence of ferroptosis.

Inhibited HDAC3 promotes microRNA-376c-3p to suppress malignant phenotypes of gastric cancer cells by reducing WNT2b.

OBJECTIVE: Our study aims to identify the impact of histone deacetylase 3 (HDAC3) and microRNA-376c-3p (miR-376c-3p) on gastric cancer (GC) by targeting wingless-type MMTV integration site family member 2b (WNT2b). METHODS: Levels of miR-376c-3p, HDAC3 and WNT2b were assessed. GC cells were treated with altered HDAC3 or miR-376c-3p to evaluate their biological functions, and rescue experiment was performed to assess the effect of WNT2b on GC cells. The tumor growth in vivo was observed. RESULTS: HDAC3 and WNT2b were up-regulated while miR-376c-3p was reduced in GC tissues and cell lines. The inhibited HDAC3 or elevated miR-376c-3p could restrain malignant behaviors of GC cells in vitro, and also suppress the xenograft growth. WNT2b silencing reduced the effect of miR-376c-3p inhibition while WNT2b overexpression mitigated that of miR-376c-3p promotion on GC cell growth. CONCLUSION: Inhibiting HDAC3 promotes miR-376c-3p to suppress malignant phenotypes of GC cells via reducing WNT2b, thereby restricting GC development.

Inhibition of the PERK/TXNIP/NLRP3 Axis by Baicalin Reduces NLRP3 Inflammasome-Mediated Pyroptosis in Macrophages Infected with Mycobacterium tuberculosis.

Mycobacterium tuberculosis (Mtb) remains a significant threat to global health as it induces granuloma and systemic inflammatory responses during active tuberculosis. Mtb can induce macrophage pyroptosis, leading to the release of IL-1ß and tissue damage, promoting its spread. Here, we established an in vitro Mtb-infected macrophage model to seek an effective antipyroptosis agent. Baicalin, isolated from Radix Scutellariae, was found to reduce pyroptosis in Mtb-infected macrophages. Baicalin could inhibit activation of the PERK/eIF2α pathway and thus downregulates TXNIP expression and subsequently reduces activation of the NLRP3 inflammasome, resulting in reduced pyroptosis in Mtb-infected macrophages. In conclusion, baicalin reduced pyroptosis by inhibiting the PERK/TXNIP/NLRP3 axis and might thus be a new adjuvant host-directed therapy (HDT) drug.

Fourier DiffuserScope: single-shot 3D Fourier light field microscopy with a diffuser.

Light field microscopy (LFM) uses a microlens array (MLA) near the sensor plane of a microscope to achieve single-shot 3D imaging of a sample without any moving parts. Unfortunately, the 3D capability of LFM comes with a significant loss of lateral resolution at the focal plane. Placing the MLA near the pupil plane of the microscope, instead of the image plane, can mitigate the artifacts and provide an efficient forward model, at the expense of field-of-view (FOV). Here, we demonstrate improved resolution across a large volume with Fourier DiffuserScope, which uses a diffuser in the pupil plane to encode 3D information, then computationally reconstructs the volume by solving a sparsity-constrained inverse problem. Our diffuser consists of randomly placed microlenses with varying focal lengths; the random positions provide a larger FOV compared to a conventional MLA, and the diverse focal lengths improve the axial depth range. To predict system performance based on diffuser parameters, we, for the first time, establish a theoretical framework and design guidelines, which are verified by numerical simulations, and then build an experimental system that achieves < 3 µm lateral and 4 µm axial resolution over a 1000 × 1000 × 280 µm3 volume. Our diffuser design outperforms the MLA used in LFM, providing more uniform resolution over a larger volume, both laterally and axially.

On-chip fluorescence microscopy with a random microlens diffuser.

We present an on-chip, widefield fluorescence microscope, which consists of a diffuser placed a few millimeters away from a traditional image sensor. The diffuser replaces the optics of a microscope, resulting in a compact and easy-to-assemble system with a practical working distance of over 1.5 mm. Furthermore, the diffuser encodes volumetric information, enabling refocusability in post-processing and three-dimensional (3D) imaging of sparse samples from a single acquisition. Reconstruction of images from the raw data requires a precise model of the system, so we introduce a practical calibration scheme and a physics-based forward model to efficiently account for the spatially-varying point spread function (PSF). To improve performance in low-light, we propose a random microlens diffuser, which consists of many small lenslets randomly placed on the mask surface and yields PSFs that are robust to noise. We build an experimental prototype and demonstrate our system on both planar and 3D samples.

Nectar Attracts Foraging Honey Bees with Components of Their Queen Pheromones.

Floral nectar often contains chemicals that are deterrent to pollinators, presenting potential challenges to outcrossing plant species. Plants may be able to co-opt pollinator chemical signals to mitigate the negative effects of nectar deterrent compounds on pollination services. We found that buckwheat (Fagopyrum esculentum) and Mexican sunflower (Tithonia diversifolia) produce nectar with abundant phenolics, including three components of the Apis honeybee queen mandibular pheromone (QMP). In addition, these nectars contain a non-pheromonal phenolic, chlorogenic acid (CA), which was toxic to honeybees, and T. diversifolia nectar also contained isochlorogenic acid (IA). Fresh nectar or solutions containing nectar phenolics reduced Apis individual feeding compared to sucrose solutions. However, freely foraging bees preferred solutions with QMP components to control solutions, and QMP components over-rode or reversed avoidance of CA and IA. Furthermore, prior exposure to the presence or just the odor of QMP components removed the deterrent effects of CA and IA. By mimicking the honey bee pheromone blend, nectar may maintain pollinator attraction in spite of deterrent nectar compounds.

The chain mediating effect of spiritual well-being and anticipatory grief between benefit finding and meaning in life of patients with advanced lung cancer: Empirical research quantitative.

AIM: This study aimed to explore the chain mediating effect of spiritual well-being and anticipatory grief between benefit finding and meaning in life of patients with advanced lung cancer. DESIGN: This was a cross-sectional study. METHODS: The research included 400 patients with advanced lung cancer who attended REDACTE from December 2022 to August 2023 as the research subjects. Data were collected using a questionnaire including socio-demographic and clinical characteristics, the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being scale (FACIT-Sp-12), the Benefit Finding Scale (BFS), the Preparatory Grief in Advanced Cancer Patients Scale (PGAC), and the Meaning of Life Questionnaire (MLQ). The structural equation model (SEM) was used to analyse the relationship between benefit finding, spiritual well-being, anticipatory grief and meaning in life. RESULTS: There was a significant correlation between benefit finding, spiritual well-being, anticipatory grief, and meaning in life. Benefit finding could have a direct positive impact on meaning in life of patients with advanced lung cancer, but it could also indirectly affect meaning in life of patients with advanced lung cancer through three pathways: the mediating effect of spiritual well-being, the mediating effect of anticipatory grief and the chain mediating effect of spiritual well-being and anticipatory grief. Nursing staff should develop an integrated program of interventions to enhance the meaning in life of patients with advanced lung cancer.

The association of platelet to white blood cell ratio with diabetes: a nationwide survey in China.

Background: Inflammation is integral to diabetes pathogenesis. The novel hematological inflammatory biomarker, platelet to white blood cell ratio (PWR), is linked with various conditions such as chronic kidney disease and stroke. However, the association of this novel clinical indicator with diabetes still remains unclear, which is investigated in this study. Materials and Methods: A total of 10,973 Chinese participants were included and grouped according to the tertiles of PWR (T1, T2, and T3 groups). Diagnosis of prediabetes and diabetes adhered to American Diabetes Association criteria. Binary logistic regression was adopted to assess the relationship between PWR and both diabetes and prediabetes. The dose-response relationship of PWR and diabetes was examined using restricted cubic spline regression. Subgroup and interaction analyses were conducted to investigate potential covariate interactions. Results: Individuals with higher PWR had better lifestyles and lipid profiles (all P < 0.05). After adjusting for all the covariates, the T2 group had a 0.83-fold (95% CI: 0.73-0.93, P < 0.01) risk of diabetes and that for the T3 group was 0.68-fold (95% CI: 0.60-0.78. P < 0.001). Dose-response analysis identified non-linear PWR-diabetes associations in the general population and females (both P < 0.05), but absent in males. Participants with prediabetes in the T2 and T3 groups had lower risks of diabetes (OR = 0.80 for the T2 group, P < 0.001 and 0.68 for the T3 group, P < 0.001) in the full models. All the sensitivity analysis support consistent conclusions. Conclusions: An increase in PWR significantly correlates with reduced diabetes risks. A non-linear PWR-diabetes relationship exists in the general population and females, but not in males. The correlation between PWR and diabetes indicates that PWR holds potentials in early identification and prevention of diabetes.

Reprogramming of arachidonic acid metabolism using α-terpineol to alleviate asthma: insights from metabolomics.

Asthma is a chronic inflammatory disorder in airways with typical pathologic features of airway inflammation and mucus hypersecretion. α-Terpineol is a monocyclic terpene found in many natural plants and foods. It has been reported to possess a wide range of pharmacological activities including anti-inflammatory and expectorant effects. However, the role of α-terpineol in asthma and its potential protective mechanism have not been well elucidated. This study is designed to investigate the pharmacological effect and mechanism of α-terpineol on asthmatic mice using the metabolomics platform. A murine model of asthma was established using ovalbumin (OVA) sensitization and then challenged for one week. The leukocyte count and inflammatory cytokines in the bronchoalveolar lavage fluid (BALF), lung histopathology, inflammatory  infiltrate and mucus secretion were evaluated. An ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS)-based metabolomics study was performed on lung tissues and serum to explore endogenous small molecule metabolites affected by α-terpineol in asthmatic mice. After α-terpineol treatment, leukocyte count, inflammatory cytokines in the BALF, and peribronchial inflammation infiltration were significantly downregulated. Goblet cell hyperplasia and mucus secretion were attenuated, with the level of Muc5ac in BALF decreased. These results proved the protective effect of α-terpineol against airway inflammation, mucus hypersecretion and Th1/Th2 immune imbalance. To further investigate the underlying mechanisms of α-terpineol in asthma treatment, UPLC-MS/MS-based metabolomics analysis was performed. 26 and 15 identified significant differential metabolites were found in the lung tissues and serum of the control, model and α-terpineol groups, respectively. Based on the above differential metabolites, enrichment analysis showed that arachidonic acid (AA) metabolism was reprogrammed in both mouse lung tissues and serum. 5-Lipoxygenase (5-LOX) and cysteinyl leukotrienes (CysLTs) are the key enzyme and the end product of AA metabolism, respectively. In-depth studies have shown that pretreatment with α-terpineol can alleviate asthma by decreasing the AA level, downregulating the expression of 5-LOX and reducing the accumulation of CysLTs in mouse lung tissues. In summary, this study demonstrates that α-terpineol is a potential agent that can prevent asthma via regulating disordered AA metabolism.

Efficacy and safety of psychedelics for the treatment of mental disorders: A systematic review and meta-analysis.

We aim to systematically review and meta-analyze the effectiveness and safety of psychedelics [psilocybin, ayahuasca (active component DMT), LSD and MDMA] in treating symptoms of various mental disorders. Web of Science, Embase, EBSCO, and PubMed were searched up to February 2024 and 126 articles were finally included. Results showed that psilocybin has the largest number of articles on treating mood disorders (N = 28), followed by ayahuasca (N = 7) and LSD (N = 6). Overall, psychedelics have therapeutic effects on mental disorders such as depression and anxiety. Specifically, psilocybin (Hedges' g = -1.49, 95% CI [-1.67, -1.30]) showed the strongest therapeutic effect among four psychedelics, followed by ayahuasca (Hedges' g = -1.34, 95% CI [-1.86, -0.82]), MDMA (Hedges' g = -0.83, 95% CI [-1.33, -0.32]), and LSD (Hedges' g = -0.65, 95% CI [-1.03, -0.27]). A small amount of evidence also supports psychedelics improving tobacco addiction, eating disorders, sleep disorders, borderline personality disorder, obsessive-compulsive disorder, and body dysmorphic disorder. The most common adverse event with psychedelics was headache. Nearly a third of the articles reported that no participants reported lasting adverse effects. Our analyses suggest that psychedelics reduce negative mood, and have potential efficacy in other mental disorders, such as substance-use disorders and PTSD.

VGGish-based detection of biological sound components and their spatio-temporal variations in a subtropical forest in eastern China.

Passive acoustic monitoring technology is widely used to monitor the diversity of vocal animals, but the question of how to quickly extract effective sound patterns remains a challenge due to the difficulty of distinguishing biological sounds within multiple sound sources in a soundscape. In this study, we address the potential application of the VGGish model, pre-trained on Google's AudioSet dataset, for the extraction of acoustic features, together with an unsupervised clustering method based on the Gaussian mixture model, to identify various sound sources from a soundscape of a subtropical forest in China. The results show that different biotic and abiotic components can be distinguished from various confounding sound sources. Birds and insects were the two primary biophony sound sources, and their sounds displayed distinct temporal patterns across both diurnal and monthly time frames and distinct spatial patterns in the landscape. Using the clustering and modeling method of the general sound feature set, we quickly depicted the soundscape in a subtropical forest ecosystem, which could be used to track dynamic changes in the acoustic environment and provide help for biodiversity and ecological environment monitoring.