Superionic Surface Li-Ion Transport in Carbonaceous Materials.

Unlike Li-ion transport in the bulk of carbonaceous materials, little is known about Li-ion diffusion on their surface. In this study, we have discovered an ultrafast Li-ion transport phenomenon on the surface of carbonaceous materials with limited reversible Li insertion capacity and high surface area. An ionic conductivity of 18.

Influence of iron and manganese on nitrogen biotransformation in the vadose zone of red beds following landfill leachate leakage.

Landfill leachate leakage causes nitrogen contamination in the groundwater of red beds with high levels of iron (Fe) and manganese (Mn). However, the influence of Fe and Mn on nitrogen biotransformation in the vadose zone of red beds (VZRB) remains unclear. This study investigates the influences of varying concentrations of Fe and Mn on nitrogen biotransformation following leachate infiltration through batch and column experiments.

3D-sLSCI: Three-dimensional Surface Laser Speckle Contrast Imaging of Blood Flow using Phase-shifting Profilometry.

Laser Speckle Contrast Imaging (LSCI) is a non-invasive, label-free technique that provides high-resolution 2D imaging of blood flow perfusion. In practical applications, however, target tissues typically exhibit 3D morphological surfaces. When LSCI is applied to such tissues, 2D blood perfusion images fail to accurately reflect the 3D spatial distribution of blood flow.

Strategies for climate-resilient global wind and solar power systems.

Climate change may amplify the frequency and severity of supply-demand mismatches in future power systems with high shares of wind and solar energy. Here we use a dispatch optimization model to assess potential increases in hourly costs associated with the climate-intensified gaps under fixed, high penetrations of wind and solar energy generation. We further explore various strategies to enhance system resilience in the face of future climate change.

Multifunctional Subnanowires Modulating Polymerization for High-Voltage Solid-State Batteries.

polymerized poly(1,3-dioxolane) (PDOL) electrolytes endow excellent interfacial contact and satisfactory compatibility in lithium metal batteries (LMBs). However, their limited oxidative stability hinders compatibility with high-voltage cathodes. Herein, an effective molecular weight modulation-induced strategy via multifunctional subnanowires (SNWs) was proposed to realize the superior oxidative stability of PDOL electrolytes with narrow molecular weight distribution (MWD).

Comparing the impacts of different exercise interventions on patients with type 2 diabetes mellitus: a literature review and meta-analysis.

Objective: Exercise interventions are a recommended method of diabetes management through which patients can achieve blood glucose control, increase muscle volume, and improve insulin sensitivity, while also improving blood lipids, blood pressure, and cardiovascular health. A few studies on the effects of physical exercise on diabetic patients have been published in recent years. This article focuses on exploring evidence on which exercise interventions generate which effects in diabetic patients, namely, high-intensity interval training (HIIT), method training (MT), aerobic exercise training (AET), resistance training (RT), and combined training (CBT).

Prognostic value of the preoperative systemic immune-inflammation nutritional index in patients with gastric cancer.

Background: Gastric cancer (GC) is the fifth most common cancer and the third leading cause of cancer-related deaths in China. Many patients with GC frequently experience symptoms related to the disease, including anorexia, nausea, vomiting, and other discomforts, and often suffer from malnutrition, which in turn negatively affects perioperative safety, prognosis, and the effectiveness of adjuvant therapeutic measures. Consequently, some nutritional indicators such as nutritional risk index (NRI), prognostic nutritional index (PNI), and systemic immune-inflammatory-nutritional index (SIINI) can be used as predictors of the prognosis of GC patients.

TRIM21 promotes type I interferon by inhibiting the autophagic degradation of STING via p62/SQSTM1 ubiquitination in systemic lupus erythematosus.

The cGAS-STING signaling pathway serves as a pivotal surveillance mechanism for cytosolic double-stranded DNA (dsDNA) detection in mammalian systems. While STING-mediated type I interferon production is crucial for host defense, sustained activation of this pathway contributes to autoimmune pathologies, including systemic lupus erythematosus (SLE). Maintaining immune homeostasis requires precise regulation of STING activity to prevent hyperactivation.

Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning.

To reveal the fundamental aspects hidden behind a variety of transient events in mechanics, physics, and biology, the highly desired ability to acquire three-dimensional (3D) images with ultrafast temporal resolution has been long sought. As one of the most commonly employed 3D sensing techniques, fringe projection profilometry (FPP) reconstructs the depth of a scene from stereo images taken with sequentially structured illuminations. However, the imaging speed of current FPP methods is generally capped at several kHz, which is limited by the projector-camera hardware and the number of fringe patterns required for phase retrieval and unwrapping.

Hsa_circ_0109623 regulates the progression of autoimmune liver disease through Hsa_miR_146b-3p/Sortilin 1-mediated activation of CD4+ T cells.

Background: Autoimmune hepatitis (AIH) is a chronic liver disease characterized by immune-mediated liver inflammation. Despite its global prevalence, the pathogenesis of AIH remains poorly understood, and there is a lack of specific biomarkers and targeted treatments. This study aimed to investigate the role of hsa_circ_0109623, hsa-miR-146b-3p, and Sortilin 1 (SORT1) in AIH and their potential as therapeutic targets.

Development of Highly Enantio- and -Selective Grubbs Catalysts via Controllable C-H Bond Activation.

Asymmetric olefin metathesis is a powerful strategy for stereocontrolled synthesis that allows the formation of chiral elements in conjunction with carbon-carbon double bonds. Here, we report a new series of cyclometalated stereogenic-at-Ru catalysts that enable highly efficient asymmetric ring opening/cross-metathesis (AROCM) and asymmetric ring-closing metathesis (ARCM) reactions. Single enantiomers of these catalysts with either right-handed or left-handed configurations at the Ru center can be easily accessed via highly stereoselective C-H bond activation-based cyclometalation.

Effect of exercise intervention on lung function in asthmatic adults: a network meta-analysis.

Objective: Exercise has traditionally been viewed as a contraindication for individuals with asthma, as it was believed to trigger or worsen acute asthma attacks. However, with scientific and appropriate exercise training, it has been proven that respiratory function and exercise capacity can be effectively improved and enhanced in asthma patients. This study aimed to compare the effects of different types of exercise on pulmonary function in adult patients with asthma using Network Meta-analysis.

Unifying temporal phase unwrapping framework using deep learning.

Temporal phase unwrapping (TPU) is significant for recovering an unambiguous phase of discontinuous surfaces or spatially isolated objects in fringe projection profilometry. Generally, temporal phase unwrapping algorithms can be classified into three groups: the multi-frequency (hierarchical) approach, the multi-wavelength (heterodyne) approach, and the number-theoretic approach. For all of them, extra fringe patterns of different spatial frequencies are required for retrieving the absolute phase.

Structural Transformation in a Sulfurized Polymer Cathode to Enable Long-Life Rechargeable Lithium-Sulfur Batteries.

Sulfurized polyacrylonitrile (SPAN) represents a class of sulfur-bonded polymers, which have shown thousands of stable cycles as a cathode in lithium-sulfur batteries. However, the exact molecular structure and its electrochemical reaction mechanism remain unclear. Most significantly, SPAN shows an over 25% 1st cycle irreversible capacity loss before exhibiting perfect reversibility for subsequent cycles.

Understanding of protomers/deprotomers by combining mass spectrometry and computation.

Multifunctional compounds may form different prototropic isomers under different conditions, which are known as protomers/deprotomers. In biological systems, these protomer/deprotomer isomers affect the interaction modes and conformational landscape between compounds and enzymes and thus present different biological activities. Study on protomers/deprotomers is essentially the study on the acidity/basicity of each intramolecular functional group and its effect on molecular structure.

Cavity soliton in a cyclic polarization permutation fiber resonator.

Cavity solitons are shape-preserving waveforms infinitely revolving around a cavity, which have numerous applications from spectroscopy to telecommunications. Although the cavity solitons have been widely studied for their special time-frequency characteristics over the past decade, the spectral flatness will be a large limitation in some applications without any extra filtering process. In this paper, we report on the generation of a distinct cavity soliton in a cyclic polarization permutation fiber resonator.

Polarization-decoupled cavity solitons generation in Kerr resonators with flattened near-zero dispersion.

Two frequency combs emitting from a single cavity are of great potential in the field of dual-comb spectroscopy because they are mutually coherent and therefore the common mode noise can be suppressed naturally. However, it is difficult to fully and flexibly control the repetition frequency difference in most of the all-optical schemes. In this paper, a birefringence-compensation Kerr resonator is proposed for the mutual dual-comb generation.

Deep Learning-Based 3D Measurements with Near-Infrared Fringe Projection.

Fringe projection profilometry (FPP) is widely applied to 3D measurements, owing to its advantages of high accuracy, non-contact, and full-field scanning. Compared with most FPP systems that project visible patterns, invisible fringe patterns in the spectra of near-infrared demonstrate fewer impacts on human eyes or on scenes where bright illumination may be avoided. However, the invisible patterns, which are generated by a near-infrared laser, are usually captured with severe speckle noise, resulting in 3D reconstructions of limited quality.

Composite fringe projection deep learning profilometry for single-shot absolute 3D shape measurement.

Single-shot fringe projection profilometry (FPP) is essential for retrieving the absolute depth information of the objects in high-speed dynamic scenes. High-precision 3D reconstruction using only one single pattern has become the ultimate goal in FPP. The frequency-multiplexing (FM) method is a promising strategy for realizing single-shot absolute 3D measurement by compounding multi-frequency fringe information for phase unwrapping.

Deep learning in optical metrology: a review.

With the advances in scientific foundations and technological implementations, optical metrology has become versatile problem-solving backbones in manufacturing, fundamental research, and engineering applications, such as quality control, nondestructive testing, experimental mechanics, and biomedicine. In recent years, deep learning, a subfield of machine learning, is emerging as a powerful tool to address problems by learning from data, largely driven by the availability of massive datasets, enhanced computational power, fast data storage, and novel training algorithms for the deep neural network. It is currently promoting increased interests and gaining extensive attention for its utilization in the field of optical metrology.

Single-shot 3D shape measurement using an end-to-end stereo matching network for speckle projection profilometry.

Speckle projection profilometry (SPP), which establishes the global correspondences between stereo images by projecting only a single speckle pattern, has the advantage of single-shot 3D reconstruction. Nevertheless, SPP suffers from the low matching accuracy of traditional stereo matching algorithms, which fundamentally limits its 3D measurement accuracy. In this work, we propose a single-shot 3D shape measurement method using an end-to-end stereo matching network for SPP.