Multifractal dynamic changes of spontaneous brain activity in psychiatric disorders: Adult attention deficit-hyperactivity disorder, bipolar disorder, and schizophrenia.

It is one of the strategies to study the complexity of spontaneous fluctuation of brain neurons based on resting-state functional magnetic resonance imaging (rs-fMRI), but the multifractal characteristics of spontaneous fluctuation of brain neurons in psychiatric diseases need to be studied. Therefore, this paper will study the multifractal spontaneous brain activity changes in psychiatric disorders using the multifractal detrended fluctuation analysis algorithm based on the UCLA datasets. Specifically: (1) multifractal characteristics in adult attention deficit-hyperactivity disorder (ADHD), bipolar disorder (BP), and schizophrenia (SCHZ); (2) the source of those multifractal characteristics.

SETD7 promotes LC3B methylation and degradation in ovarian cancer.

Microtubule-associated protein 1 light chain 3 (LC3) is a key autophagy-related protein involved in regulating autophagosome formation and autophagy activity. Post-translational modifications of LC3 are necessary to modulate its function. However, LC3 protein methylation and its physiological significance have not yet been elucidated.

An aptamer sensor based on AgNPs@MOF for surface-enhanced Raman spectroscopy detection of sulfadimethoxine in food.

A highly sensitive aptamer sensor (aptasensor) is proposed based on metal-organic frameworks-silver nanoparticles (AgNPs@MOF) to detect sulfadimethoxine (SDM) by surface-enhanced Raman spectroscopy (SERS). AgNPs@MOF with SERS activity was successfully fabricated by synthesizing AgNPs in situ on the surface of MIL-101(Fe), and SDM aptamer and Raman reporter 4-aminophenthiophenol (4-ATP) were selected as specific recognition elements and signal probes, respectively. When SDM was absent, the SDM aptamers were effectively adsorbed on the surface of AgNPs@MOF, thus keeping AgNPs@MOF in a dispersed state, resulting in a weakened SERS signal of 4-ATP.

Brain network dynamics predict moments of surprise across contexts.

We experience surprise when reality conflicts with our expectations. When we encounter such expectation violations in psychological tasks and daily life, are we experiencing completely different forms of surprise? Or is surprise a fundamental psychological process with shared neural bases across contexts? To address this question, we identified a brain network model, the surprise edge-fluctuation-based predictive model (EFPM), whose regional interaction dynamics measured with functional magnetic resonance imaging (fMRI) predicted surprise in an adaptive learning task. The same model generalized to predict surprise as a separate group of individuals watched suspenseful basketball games and as a third group watched videos violating psychological expectations.

Modulating the γ-ray Protection Properties of Melanin via a Highly Conjugated Catechol Structure.

Melanin is a dark pigment found in many organisms that interacts with various forms of electromagnetic radiation, such as X-rays, γ-rays, and Ultraviolet visible light, providing protection against radiation damage to the host. The mechanism by which melanin protects against ionizing radiation involves dissipating energy around the cell nucleus to form a perinuclear cap. Additionally, melanin reacts with the free radicals produced by the radiolysis of water, quenching reactive oxygen species.

Near-infrared fluorescence imaging tool with large Stokes shift for sensitively detecting carboxylesterase 2 and monitoring its expression in non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) now affects more than one quarter of the global population and becomes a heavy public health burden. However, the underlying mechanism for the pathogenesis of NAFLD is still not clear. Carboxylesterase 2 (CES2), highly abundant in the liver and intestine, plays an important role in endogenous lipid metabolism and lipolysis.

A flexible protocol of finite-time consensus for second-order multi-agent systems with pinning control.

In this paper, we consider the finite-time consensus problem for second-order multi-agent systems with pinning control. Unlike the existing finite-time consensus algorithms for second-order multi-agent systems in which all agents' velocities and positions are assumed to have common communication weights and nonlinear couplings, we allow communication weights, nonlinear couplings and the feedback gains to be inconsistent for each agent's velocity and position. A flexible continuous protocol is designed to solve the finite-time consensus problem.

Value of radiomics and deep learning feature fusion models based on dce-mri in distinguishing sinonasal squamous cell carcinoma from lymphoma.

Problem: Sinonasal squamous cell carcinoma (SNSCC) and sinonasal lymphoma (SNL) lack distinct clinical manifestations and traditional imaging characteristics, complicating the accurate differentiation between these tumors and the selection of appropriate treatment strategies. Consequently, there is an urgent need for a method that can precisely distinguish between these tumors preoperatively to formulate suitable treatment plans for patients.

Methods: This study aims to construct and validate ML and DL feature models based on Dynamic Contrast-Enhanced (DCE) imaging and to evaluate the clinical value of a radiomics and deep learning (DL) feature fusion model in differentiating between SNSCC and SNL.

Multi-well plate-based versatile platform for online fabricating alginate hydrogel microspheres and in-situ 3D cell culture.

Background: Hydrogel microspheres with monodisperse and homogeneous dimensions have potential application in the field of three-dimensional (3D) cell culture due to its ability to provide a similar microenvironment. Currently, alginate hydrogel microspheres (AHMs) have received much attention due to the favorable properties of alginate such as biocompatibility, inexpensiveness, nontoxicity, and biodegradability. The fabrication methods of AHMs mainly include extrusion, electrostatic dripping and microfluidic chip techniques.

Near-Infrared Two-Photon J-Aggregation-Induced Organic Fluorescent Dots with Large Stokes-Shift for Ratiometric Imaging of Hypochlorous Acid in Living Cells and Brains of AD Mice.

Alzheimer's disease (AD) is characterized by multiple toxicity from various biomarkers, and it is very important to monitor the fluctuation of biomarker level in brain tissues to track its early onset, illness progression, and therapeutic effect. Hypochlorous acid (HOCl) is confirmed to be a reliable biomarker to extend the scope of diagnosis. However, the practical applications of the developed conjugated small molecule fluorescent probes for detecting HOCl are often restricted to a large extent by their low solubility, aggregation-caused quenching (ACQ), unsatisfactory fluorescence brightness, small Strokes-shift, and lack of self-correcting ratiometric emitters.

A Chemically Defined Culture for Tooth Reconstitution.

It is known for decades that dental epithelium and mesenchyme can reconstitute and regenerate a functional tooth. However, the mechanism of tooth reconstitution remains largely unknown due to the lack of an efficient in vitro model. Here, a chemically defined culture system is established that supports tooth reconstitution, further development with normal anatomy, and prompt response to chemical interference in key developmental signaling pathways, termed as toothoids.

Aptamer-based tri-mode sensing for detecting oxytetracycline mediated by SYBR Green I and functionalized Au nanoparticles.

Exploiting multi-mode aptamer sensing approaches for target pollutants is urgently required to meet the multi-scene detection requirements and improve the accuracy of detection. Herein, we developed a novel aptamer-based tri-mode sensing for detecting oxytetracycline (OTC). First, OTC can induce the conformational changes of the aptamer, which can promote the formation of duplex structures of the aptamer.

Real-Time Gait Intention Recognition for Active Control of Unilateral Knee Exoskeleton.

Real-time gait estimation is important for the synchrony control of robotic exoskeleton to provide walking assistance. However, for stroke patients with hemiplegic paralysis, the gait pattern is very complex. Accurate and timely gait intention recognition is therefore difficult.

Rechargeable Hydrogen Gas Batteries: Fundamentals, Principles, Materials, and Applications.

The growing demand for renewable energy sources has accelerated a boom in research on new battery chemistries. Despite decades of development for various battery types, including lithium-ion batteries, their suitability for grid-scale energy storage applications remains imperfect. In recent years, rechargeable hydrogen gas batteries (HGBs), utilizing hydrogen catalytic electrode as anode, have attracted extensive academic and industrial attention.

A dual-mode sensing platform for electron spin resonance and UV-vis detection of alkaline phosphatase based on Cu-based metal-organic frameworks.

Alkaline phosphatase (ALP) is an indispensable hydrolase in living organisms and the abnormality of ALP activity is correlated with a variety of diseases. Exploring ALP activity is important for clinical diagnosis and biomedical research to understand its physiological function. In this study, a dual-mode biosensing platform was constructed based on Cu-based metal-organic frameworks (Cu-MOFs) for electron spin resonance (ESR) and ultraviolet-visible (UV-vis) sensing of ALP.

Differences in Immune Cell-Derived Circular RNA Between Fulminant Type 1 Diabetes and Type 1 Diabetes.

Aims: Circular RNAs (circRNAs) are associated with fulminant type 1 diabetes (FT1D) and type 1 diabetes (T1D). However, the differences in circRNAs between FT1D and T1D remain unclear. Our objective is to identify peripheral blood mononuclear cells (PBMCs)-derived circRNAs in FT1D and T1D and explore their potential functions.

Selenoprotein S maintains intestinal homeostasis in ulcerative colitis by inhibiting necroptosis of colonic epithelial cells through modulation of macrophage polarization.

Macrophage polarization plays an important role in the inflammatory regulation of ulcerative colitis (UC). In this context, necroptosis is a type of cell death that regulates intestinal inflammation, and selenoprotein S (SelS) is a selenoprotein expressed in intestinal epithelial cells and macrophages that prevents intestinal inflammation. However, the underlying mechanisms of SelS in both cell types in regulating UC inflammatory responses remain unclear.