Limosilactobacillus reuteri-butyrate axis in depression therapy: A key pathway discovered through a novel preclinical human flora-associated animal model.

The transition from preclinical to clinical drug development is critically impeded by interspecies disparities, which limit the predictive validity of preclinical efficacy for human outcomes. To address this limitation, we established a human flora-associated depression rat (HFADR) model through fecal microbiota transplantation (FMT). The HFADR model bridges the preclinical-clinical translation by recapitulating conserved microbial-host interactions identified through multi-omics analysis in a chronic unpredictable mild stress (CUMS) rat model and in patients with major depressive disorder.

Comparative Analysis of Habitat Expansion Mechanisms for Four Invasive Plants Under Current and Future Climates Using MaxEnt.

As China's first systematic assessment of high-risk invaders, this study addresses a critical knowledge gap identified in the National Invasive Species Inventory, in which four invasive species (, , , and ) are prioritized due to CNY 2.6 billion annual ecosystem damages in China. By coupling multi-species comparative analysis with a parameter-optimized Maximum Entropy (MaxEnt) model integrating climate, soil, and topographical variables in China under Shared Socioeconomic Pathways (SSP) 126/245/585 scenarios, we reveal divergent expansion mechanisms (e.

Discovery and identification of novel color compound formed from EGCG upon heating: Integrated multispectral, sensory evaluation, metabolomics, and nuclear magnetic resonance.

(-)-Epigallocatechin gallate (EGCG) is the major catechin in tea. However, its transformation mechanisms into sensory-active compounds during tea roasting remain unclear. LC-MS-based metabolomics and multispectral analysis discovered a variety of novel color compounds (NCCs) formed from EGCG during high-temperature heating, and these compounds were positively correlated with color indexes.

Phase aberration compensation and parasitic fringes elimination in digital holographic microscopy based on polarization.

In digital holographic microscopy, parasitic fringes caused by optical components and phase aberration introduced by the optical system are crucial issues that constrain measurement accuracy and reconstructed image quality. This paper presents a straightforward and effective physical approach to simultaneously compensate aberration and eliminate parasitic fringes in reflective holographic microscopy. By modulating the polarization states of both the parasitic beams and the sample beam, combined with a polarized beam splitter element, parasitic fringes can be efficiently eliminated.

The Molecular Mechanism of Interaction Between SEPALLATA3 and APETALA1 in .

Flower formation has been a primary focus in botanical research, leading to the identification of multiple factors regulating flowering over the past 30 years. The MADS transcription factors SEPALLATA3 (SEP3) and APETALA1 (AP1) are essential for floral meristem development and organ identity. In Arabidopsis, SEP3 functions as a central integrator, combining MADS proteins into a tetrameric complex, with its interaction with AP1 playing a key role in sepal and petal formation.

TLR7/8 signaling activation enhances the potency of human pluripotent stem cell-derived eosinophils in cancer immunotherapy for solid tumors.

Background: Efficient tumor T-cell infiltration is crucial for the effectiveness of T-cell-based therapies against solid tumors. Eosinophils play crucial roles in recruiting T cells in solid tumors. Our group has previously generated induced eosinophils (iEOs) from human pluripotent stem cells and exhibited synergistic efficacy with CAR-T cells in solid tumor inhibition.

3D printing of micro-nano devices and their applications.

In recent years, the utilization of 3D printing technology in micro and nano device manufacturing has garnered significant attention. Advancements in 3D printing have enabled achieving sub-micron level precision. Unlike conventional micro-machining techniques, 3D printing offers versatility in material selection, such as polymers.

The Impact of Immediate and Delayed Rewards on Task-Switching Performance.

Background/objectives: Switching between different tasks incurs switch costs. Previous research has demonstrated that rewards can enhance performance in cognitive tasks. However, prior studies have primarily focused on the overall improvement in cognitive task performance, with limited research on how different types of rewards function under various task conditions.

Molecular mechanism of interaction between SHORT VEGETATIVE PHASE and APETALA1 in Arabidopsis thaliana.

Point mutations were introduced into specific leucine (L) amino acids within the K domain of SHORT VEGETATIVE PHASE (SVP), and their effects on the SVP-AP1 interaction were assessed. Yeast two-hybrid experiments and β-galactosidase activity assays demonstrated that SVP maintained its capacity to interact with APETALA1 (AP1) despite point mutations at the 108th, 116th, 119th, and 127th leucine residues, where leucine was substituted with alanine (A). However, the mutation of the leucine residue at position 124 to alanine abolished the interaction between SVP and AP1 regardless of whether the mutation was singular or combined with others.

Accurate fast quantitative phase imaging based on accelerative iterative transport of the intensity equation solution.

As a simple and widely used quantitative phase imaging (QPI) approach, the transport of intensity equation (TIE) is plagued by accuracy and applicability issues due to the limitations of conventional solution algorithms. To address these problems, we present an accurate fast QPI method using an accelerated iteration-based TIE solution. In this method, a gradient acceleration iterative solution is constructed by TIE itself.

Three-stage training strategy phase unwrapping method for high speckle noises.

Deep learning has been widely used in phase unwrapping. However, owing to the noise of the wrapped phase, errors in wrap count prediction and phase calculation can occur, making it challenging to achieve high measurement accuracy under high-noise conditions. To address this issue, a three-stage multi-task phase unwrapping method was proposed.

Beyond despair: Leveraging ecosystem restoration for psychosocial resilience.

Ecosystem restoration has historically been viewed as an ecological endeavor, but restoration possesses significant, yet largely untapped, potential as a catalyst for personal and social transformation. We highlight the opportunity for restoration to enhance community resilience by increasing agency and collective action and countering the pervasive perception that we are powerless witnesses to environmental decline. In this perspective, we take a "bright spots" approach and highlight successful examples of ecosystem restoration that have helped to nurture a sense of place, foster optimism, and cultivate stronger and more diverse social networks.

Liver mechanosignaling as a natural anti-hepatitis B virus mechanism.

The mechanisms underlying the natural control of hepatitis B virus (HBV) infection have long been an intriguing question. Given the wide physiological range of liver stiffness and the growing attention to the role of mechanical microenvironment in homeostasis and diseases, we investigated how physical matrix cues impact HBV replication. High matrix stiffness significantly inhibited HBV replication and activated YAP in primary hepatocyte culture system, a key molecule in mechanosignaling.

Dynamic deformation measurement with 2-frame phase-shifting speckle interferometry based on speckle statistics and wavefront multiplexing.

Phase-shifting speckle interferometry could achieve full-field deformation measurement of rough surfaces. To meet the dynamic requirement and further improve the accuracy, a two-step synchronous phase-shifting measurement system is established based on the polarization-sensitive phase modulation ability of a liquid crystal spatial light modulator; by multiplexing the reference wavefront, an accurate phase shift is generated between two independent recording channels, and a common-path self-reference vortex interference structure is built for precise spatial registration. Meanwhile, according to the speckle statistical principle, a novel two-frame phase-shifting algorithm as well as a two-step spatial registration strategy is presented to strengthen the robustness of intensity and position differences caused by spatial-multiplexing; thereby, accurate transient deformation can be directly obtained from phase-shifting speckle interferograms recorded before and after deformation.

Development Status of Solar-Driven Interfacial Steam Generation Support Layer Based on Polymers and Biomaterials: A Review.

With the increasing shortage of water resources and the aggravation of water pollution, solar-driven interfacial steam generation (SISG) technology has garnered considerable attention because of its low energy consumption, simple operation, and environmental friendliness. The popular multi-layer SISG evaporator is composed of two basic structures: a photothermal layer and a support layer. Herein, the support layer underlies the photothermal layer and carries out thermal management, supports the photothermal layer, and transports water to the evaporation interface to improve the stability of the evaporator.

Generation of dual-attribute iTNK cells from hPSCs for cancer immunotherapy.

Dual-attribute immune cells possess advantageous features of cytotoxic T cells and natural killer (NK) cells and hold promise for advancing immunotherapy. Dual-attribute cell types such as invariant natural killer T cells, induced T-to-NK cells, and cytokine-induced killer cells have demonstrated efficacy and safety in preclinical and clinical studies. However, their limited availability hinders their widespread application.

The Potential Habitat Response of to Climate Change.

, a valuable timber species in China, holds significant importance for understanding the constraints imposed by climate change on the dynamic geographic distribution of tree species. This study utilized the MaxEnt maximum entropy model to reconstruct the migratory dynamics of geographical distribution since the Last Glacial Maximum. The objective was to comprehend the restrictive mechanisms of environmental factors on its potential geographical distribution, aiming to provide insights for mid-to-long-term afforestation planning of .

Optical TTD compensation network-based phase precoding for THz massive MIMO systems.

In sixth generation (6G) communications, terahertz (THz) communication is one of the most important technologies in the future due to its ultra-bandwidth, where hybrid beamforming has been widely used to solve the severe transmission attenuation in the THz band. However, the use of frequency-flat phase shifters in hybrid beamforming leads to the beam split effect. To solve the beam split influence, we propose a novel optical true time delay compensation network (OTTDCN)-based phase precoding structure with low power consumption.

Influence of environmental filtering and spatial processes on macroinvertebrate community in urban lakes in the Taihu Lake Basin, China.

Studies identifying the relative importance of multiple ecological processes in macroinvertebrate communities in urban lakes at a basin scale are rare. In this study, 14 urban lakes in the Taihu Lake Basin were selected to explore the relative importance of environmental filtering and spatial processes in the assembly of macroinvertebrate communities. Our findings revealed significant spatiotemporal variations in macroinvertebrate communities, both between lakes and across seasons.

RhMED15a-like, a subunit of the Mediator complex, is involved in the drought stress response in Rosa hybrida.

Background: Rose (Rosa hybrida) is a globally recognized ornamental plant whose growth and distribution are strongly limited by drought stress. The role of Mediator, a multiprotein complex crucial for RNA polymerase II-driven transcription, has been elucidated in drought stress responses in plants. However, its physiological function and regulatory mechanism in horticultural crop species remain elusive.

Importance of DNA nanotechnology for DNA methyltransferases in biosensing assays.

DNA methylation is the process by which specific bases on a DNA sequence acquire methyl groups under the catalytic action of DNA methyltransferases (DNMT). Abnormal changes in the function of DNMT are important markers for cancers and other diseases; therefore, the detection of DNMT and the selection of its inhibitors are critical to biomedical research and clinical practice. DNA molecules can undergo intermolecular assembly to produce functional aggregates because of their inherently stable physical and chemical properties and unique structures.

Sedation versus general anesthesia on all-cause mortality in patients undergoing percutaneous procedures: a systematic review and meta-analysis.

Background: The comparison between sedation and general anesthesia (GA) in terms of all-cause mortality remains a subject of ongoing debate. The primary objective of our study was to investigate the impact of GA and sedation on all-cause mortality in order to provide clarity on this controversial topic.

Methods: A systematic review and meta-analysis were conducted, incorporating cohort studies and RCTs about postoperative all-cause mortality.

The virtual staining method by quantitative phase imaging for label free lymphocytes based on self-supervised iteration cycle-consistent adversarial networks.

Quantitative phase imaging (QPI) provides 3D structural and morphological information for label free living cells. Unfortunately, this quantitative phase information cannot meet doctors' diagnostic requirements of the clinical "gold standard," which displays stained cells' pathological states based on 2D color features. To make QPI results satisfy the clinical "gold standard," the virtual staining method by QPI for label free lymphocytes based on self-supervised iteration Cycle-Consistent Adversarial Networks (CycleGANs) is proposed herein.

A Foggy Weather Simulation Algorithm for Traffic Image Synthesis Based on Monocular Depth Estimation.

This study addresses the ongoing challenge for learning-based methods to achieve accurate object detection in foggy conditions. In response to the scarcity of foggy traffic image datasets, we propose a foggy weather simulation algorithm based on monocular depth estimation. The algorithm involves a multi-step process: a self-supervised monocular depth estimation network generates a relative depth map and then applies dense geometric constraints for scale recovery to derive an absolute depth map.