Hyperactivity of the hypothalamic-pituitary-adrenal (HPA) axis during chronic stress is essential for depression neurobiology. As the latest member of the RFamide peptide family in mammals, pyroglutamylated RFamide peptide (QRFP) is closely implicated in neuroendocrine maintenance by activating G-protein-coupled receptor 103 (GPR103). We hypothesized that QRFP and GPR103 might contribute to chronic stress-induced depression by promoting corticotropin-releasing hormone (CRH) release from neurons in the paraventricular nucleus (PVN), and various methods were employed in this study, with male C57BL/6J mice adopted as the experimental subjects.
View Article and Find Full Text PDFQuantum tangent kernel methods provide an efficient approach to analyzing the performance of quantum machine learning models in the infinite-width limit, which is of crucial importance in designing appropriate circuit architectures for certain learning tasks. Recently, they have been adapted to describe the convergence rate of training errors in quantum neural networks in an analytical manner. Here, we study the connections between the expressibility and value concentration of quantum tangent kernel models.
View Article and Find Full Text PDFBackground: Although depression has been a serious neuropsychiatric disorder worldwide, current antidepressants used in clinical practice have various weaknesses, including delayed onset and low rates of efficacy. Recently, the development of new antidepressants from natural herbal medicine has become one of the important research hotspots. Cucurbitacin B is a natural compound widely distributed in the Cucurbitaceae and Cruciferae families and has many pharmacological activities.
View Article and Find Full Text PDFBackground: The salt-inducible kinase 1 (SIK1)-CREB-regulated transcription co-activator 1 (CRTC1) system in the paraventricular nucleus (PVN) of the hypothalamus has been demonstrated to participate in not only depression neurobiology but also the antidepressant mechanisms of fluoxetine, paroxetine, venlafaxine, and duloxetine. Like fluoxetine and paroxetine, escitalopram is also a well-known selective serotonin (5-HT) reuptake inhibitor (SSRI). However, recently it has been found that escitalopram can modulate a lot of targets other than the 5-HT system.
View Article and Find Full Text PDFBackground: Although thought of as a multimodal-acting antidepressant targeting the serotonin system, more molecules are being shown to participate in the antidepressant mechanism of vortioxetine. A previous report has shown that vortioxetine administration enhanced the expression of rapamycin complex 1 (mTORC1) in neurons. It has been well demonstrated that mTORC1 participates in not only the pathogenesis of depression but also the pharmacological mechanisms of many antidepressants.
View Article and Find Full Text PDFMajor depressive disorder is a frequently occurring neuropsychiatric disorder throughout the world. However, the limited and delayed therapeutic efficacy of monoaminergic medications has led to intensive research efforts to develop novel antidepressants. We have previously demonstrated that hippocampal salt-inducible kinase 2 (SIK2) plays a role in the pathogenesis of depression via regulating the downstream CREB-regulated transcription coactivator 1 (CRTC1)-cAMP response element-binding protein (CREB)-brain derived neurotrophic factor (BDNF) pathway.
View Article and Find Full Text PDFClassifying topological phases of matter with strong interactions is a notoriously challenging task and has attracted considerable attention in recent years. In this paper, we propose an unsupervised machine learning approach that can classify a wide range of symmetry-protected interacting topological phases directly from the experimental observables and without a priori knowledge. We analytically show that Green's functions, which can be derived from spectral functions that can be measured directly in an experiment, are suitable for serving as the input data for our learning proposal based on the diffusion map.
View Article and Find Full Text PDFPhys Rev Lett
December 2022
Tensor networks are efficient representations of high-dimensional tensors with widespread applications in quantum many-body physics. Recently, they have been adapted to the field of machine learning, giving rise to an emergent research frontier that has attracted considerable attention. Here, we study the trainability of tensor-network based machine learning models by exploring the landscapes of different loss functions, with a focus on the matrix product states (also called tensor trains) architecture.
View Article and Find Full Text PDFElucidating the molecular mechanism underlying the hyperactivity of the hypothalamic-pituitary-adrenal axis during chronic stress is critical for understanding depression and treating depression. The secretion of corticotropin-releasing hormone (CRH) from neurons in the paraventricular nucleus (PVN) of the hypothalamus is controlled by salt-inducible kinases (SIKs) and CREB-regulated transcription co-activators (CRTCs). We hypothesised that the SIK-CRTC system in the PVN might contribute to the pathogenesis of depression.
View Article and Find Full Text PDFNowadays, Transit-Oriented Development (TOD) plays a vital role for public transport planners in developing potential city facilities. Knowing the necessity of this concept indicates that TOD effective parameters such as network accessibility (node value) and station-area land use (place value) should be considered in city development projects. To manage the coordination between these two factors, we need to consider ridership and peak and off-peak hours as essential enablers in our investigations.
View Article and Find Full Text PDFDepression is a very prevalent psychiatric disorder which threats nearly one in six of the population in this world. To date, the pathogenesis of depression remains elusive and is thought to depend on multiple factors in which chronic stress is critical. Currently, it has been demonstrated that besides monoaminergic dysfunction, depression is accompanied by several other important pathological phenomena such as impaired neurogenesis and decreased brain-derived neurotrophic factor (BDNF)-cAMP response element binding protein (CREB) signaling cascade in the hippocampus.
View Article and Find Full Text PDFWe investigated the use of an Artificial Neural Network (ANN) to predict the Local Bond Stress (LBS) between Ultra-High-Performance Concrete (UHPC) and steel bars, in order to evaluate the accuracy of our LBS equation, proposed by Multiple Linear Regression (MLR). The experimental and numerical LBS results of specimens, based on RILEM standards and using pullout tests, were assessed by the ANN algorithm using the TensorFlow platform. For each specimen, steel bar diameters ([Formula: see text] of 12, 14, 16, 18, and 20, concrete compressive strength ([Formula: see text]), bond lengths ([Formula: see text]), and concrete covers ([Formula: see text]) of [Formula: see text], [Formula: see text], [Formula: see text] and [Formula: see text] were used as input parameters for our ANN.
View Article and Find Full Text PDFNon-Hermitian topological phases bear a number of exotic properties, such as the non-Hermitian skin effect and the breakdown of conventional bulk-boundary correspondence. In this Letter, we introduce an unsupervised machine learning approach to classify non-Hermitian topological phases based on diffusion maps, which are widely used in manifold learning. We find that the non-Hermitian skin effect will pose a notable obstacle, rendering the straightforward extension of unsupervised learning approaches to topological phases for Hermitian systems ineffective in clustering non-Hermitian topological phases.
View Article and Find Full Text PDFBackground: As one of the leading causes of heart failure, dilated cardiomyopathy (DCM) is characterized by dysfunctional muscle contraction and enlarged ventricular chamber. Patients with DCM have been shown to respond well to immunoadsorption (IA) therapies. However, the efficacy and safety of IA treatment for DCM patients remained to be evaluated.
View Article and Find Full Text PDFUnlabelled: Aluminum (Al) toxicity is a major limitation to crop production in countries where acidic soil is abundant. In China, soybean production is constrained by Al stress-induced toxicity. As such, there is growing interest to develop Al-resistant varieties.
View Article and Find Full Text PDFBackground: Asthenoteratospermia, one of the most common causes for male infertility, often presents with defective sperm heads and/or flagella. Multiple morphological abnormalities of the sperm flagella (MMAF) is one of the common clinical manifestations of asthenoteratospermia. Variants in several genes including , , and are involved in the genetic pathogenesis of asthenoteratospermia.
View Article and Find Full Text PDFEthylene-response factor (ERF) proteins are members of a transcription factor family involved in plant growth and environmental stress responses, but the biological functions of ERF members in adzuki bean (Vigna angularis var. angularis) remain unknown. In addition, it is unclear whether these proteins have a role in regulating responses to abiotic stressors.
View Article and Find Full Text PDFPhysiol Mol Biol Plants
March 2019
To produce high quality, glyphosate-resistant soybeans, we crossed Jinda 73 and glyphosate-resistant RR1 (Roundup Ready First Generation) (RR1) resulting in 34 hybrid strains. To determine the effects of glyphosate on soybean metabolism, we grew the two parents upto the seedling stage, and measured chlorophyll, soluble sugar, malondialdehyde (MDA), relative conductivity and proline. Then, we treated the plants with glyphosate and measured the same factors again.
View Article and Find Full Text PDFCorrection for 'Fe-Catalyzed three-component carboazidation of alkenes with alkanes and trimethylsilyl azide' by Wei-Yu Li et al., Chem. Commun.
View Article and Find Full Text PDFChem Commun (Camb)
September 2018
Reported herein is a novel iron-catalyzed, DTBP-mediated carboazidation of alkenes using cycloalkanes, CH2Cl2, CHCl3 and CCl4 as alkylating reagents to generate electrophilic or nucleophilic alkyl radicals. Mechanistic studies suggested that the reaction proceeded via the addition of alkyl radicals to alkenes followed by an iron-mediated ligand transfer process. The reaction is unique as it is applicable not only to diversely functionalized electron rich alkenes, but also to electron-poor olefins to provide chain extended azides and γ-azido chloroalkanes in good to high yields.
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