Deep learning-based phase demodulation for distributed acoustic sensor.

With the rapid advancement of deep learning, its applications in fiber optic sensing are expanding significantly, particularly in recognizing diverse scenarios where substantial progress has been made. However, the crucial task of obtaining demodulation results from raw data remains relatively underexplored. Accurate demodulation is essential for a deeper understanding of the physical processes in fiber optic sensing systems, enhancing measurement accuracy, and optimizing system performance.

Influence of operating speed, load and mileage on the lubricating performance of self-lubricating rolling linear guide.

Self-lubricating rolling linear guides are widely used in precision instruments, industrial automation production lines, and other fields. The lubrication performance of rolling linear guide has a significant impact on their smooth operation and service life. This paper aims to investigate influence of different operation condition on the lubricating performance of rolling linear guide.

Research on the self-lubricating performance of rolling linear guide based on directional porous media.

Self-lubricating rolling linear guides are high value-added, maintenance-free rolling functional components. In this article, a porous media with a directional pore structure is prepared by PTFE and pore forming agent naphthalene, the design of the slider end structure is optimized, and the oil film thickness of the rolling linear guide under different operating speeds, loads, and operating mileage are tested and tracked by a spectrometer to provide a comprehensive analysis of the self-lubricating performance of the rolling linear guide. The research results indicate that the oil film thickness is directly proportional to the slider operating speed, while the effects of load and operating mileage on the oil film thickness are not significant.

WNT4 promotes the symmetric fission of crypt in radiation-induced intestinal epithelial regeneration.

Background: Radiotherapy for pelvic malignant tumors inevitably causes intestinal tissue damage. The regeneration of intestinal epithelium after radiation injury relies mainly on crypt fission. However, little is known about the regulatory mechanisms of crypt fission events.

The dynamic cellular and molecular features during the development of radiation proctitis revealed by transcriptomic profiling in mice.

Background: Radiation proctitis (RP) is the most common complication of radiotherapy for pelvic tumor. Currently there is a lack of effective clinical treatment and its underlying mechanism is poorly understood. In this study, we aimed to dynamically reveal the mechanism of RP progression from the perspective of RNomics using a mouse model, so as to help develop reasonable therapeutic strategies for RP.

Denoising Diffusion MRI via Graph Total Variance in Spatioangular Domain.

Diffusion MRI (DMRI) plays an essential role in diagnosing brain disorders related to white matter abnormalities. However, it suffers from heavy noise, which restricts its quantitative analysis. The total variance (TV) regularization is an effective noise reduction technique that penalizes noise-induced variances.

Cysteine-enhanced reductive degradation of nitrobenzene using nano-sized zero-valent iron by accelerated electron transfer.

As an aliphatic amino acid, cysteine (CYS) is diffuse in the living cells of plants and animals. However, little is known of its role in the reactivity of nano-sized zero-valent iron (NZVI) in the degradation of pollutants. This study shows that the introduction of CYS to the NZVI system can help improve the efficiency of reduction, with 30% more efficient degradation and a reaction rate constant nine times higher when nitrobenzene (NB) is used as probe compound.

Inter-transformation between silver nanoparticles and Ag induced by humic acid under light or dark conditions.

The fate and toxicity of silver nanoparticles (AgNPs) and ions in water bodies is largely determined by the natural organic matter (NOM)-mediated redox cycling. However, the process of NOM-mediated redox cycling in the day/night cycles remains elusive. In this study, the inter-transformation between AgNPs and Ag ion caused by humic acid (HA) was investigated under controlled light and dark conditions.

Effects of zero-valent iron nanoparticles and quinclorac coexposure on the growth and antioxidant system of rice (Oryza sativa L.).

Quinclorac (3,7-dichloroquinoline-8-carboxylic acid, QNC) is a highly selective auxin herbicide that is typically applied to paddy rice fields. Its residue is a serious problem in crop rotations. In this study, Oryza sativa L.

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.

During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, invo- lving differentiation of neuronal types, dendritic arbori- zation, axonal ingrowth, outgrowth and retraction, synaptogenesis, and myelination. To better quantify these changes, this article presents a method for probing tissue microarchitecture by characterizing water diffusion in a spectrum of length scales, factoring out the effects of intra-voxel orientation heterogeneity. Our method is based on the spherical means of the diffusion signal, computed over gradient directions for a set of diffusion weightings (i.

Ubiquitin ligase TRIM65 promotes colorectal cancer metastasis by targeting ARHGAP35 for protein degradation.

Tripartite motif-containing protein 65 (TRIM65) is an E3 ubiquitin ligase and a critical regulator of a variety of cellular processes as well as tumor progression. Therefore, more substrates must be identified in the physiology or disease context. Here, we found that TRIM65 is upregulated and associated with poor survival in colorectal cancer (CRC).

Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.

Precise quantification of brain tissue micro-architecture using diffusion MRI is hampered by the conflation of diffusion-attenuated signals from micro-environments that can be orientationally heterogeneous due to complex fiber configurations, such as crossing, fanning, and bending, and compartmentally heterogeneous due to variability in tissue organization. In this paper, we introduce a method, called Spherical Mean Spectrum Imaging (SMSI), for quantification of tissue microstructure. SMSI does not assume a fixed number of compartments, but characterizes the signal as a of fine- to coarse-scale diffusion processes.

Downregulation of TRIM58 expression is associated with a poor patient outcome and enhances colorectal cancer cell invasion.

TRIM58 is a member of the tripartite motif protein (TRIM) family of E3 ubiquitin ligases. Aberrant gene methylation of TRIM58 has been reported in liver and lung cancer and indicates a poor patient prognosis. However, the expression level and functional role of TRIM58 in colorectal cancer (CRC) have yet to be elucidated.

Role of Angiogenesis in Chronic Radiation Proctitis: New Evidence Favoring Inhibition of Angiogenesis Ex Vivo.

Background: Chronic radiation proctitis (CRP), a common complication after radiotherapy for pelvic malignancies, compromises patient quality of life. Vascular damage and aberrant angiogenesis in the mucosal layer are essential histological features, but changes to the submucosal layer are unclear. Thus, we evaluated the histological characteristics and distribution changes of key angiogenic factors in full-layered human CRP samples.

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.

Global tractography estimates brain connectivity by organizing signal-generating fiber segments in an optimal configuration that best describes the measured diffusion-weighted data, promising better stability than local greedy methods with respect to imaging noise. However, global tractography is computationally very demanding and requires computation times that are often prohibitive for clinical applications. We present here a reformulation of the global tractography algorithm for fast parallel implementation amendable to acceleration using multi-core CPUs and general-purpose GPUs.

Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo.

Global tractography estimates brain connectivity by determining the optimal configuration of signal-generating fiber segments that best describes the measured diffusion-weighted data, promising better stability than local greedy methods with respect to imaging noise. However, global tractography is computationally very demanding and requires computation times that are often prohibitive for clinical applications. We present here a reformulation of the global tractography algorithm for fast parallel implementation amendable to acceleration using multi-core CPUs and general-purpose GPUs.

[Spatial heterogeneity of soil organic matter and its response to disturbance in karst peak cluster depressions].

By using geostatistic methods, this paper studied the spatial variation and distribution of soil organic matter as well as its ecological processes and related mechanisms in four typical disturbed areas (cropland, man-made forest, secondary forest, and primary forest) of karst peak cluster depressions in northwest Guangxi of China. Eighty soil samples (0-20 cm) were collected from an aligned grid of 10 m x 10 m for the analysis of soil organic matter. The soil organic matter content increased significantly (P < 0.

[A spatial heterogeneity of surface soil moisture content in dry season in Mulun National Natural Reserve in Karst area].

By the methods of classical statistics and geostatistics, the spatial heterogeneity of surface soil (0-5 cm and 5-10 cm layers) moisture content in dry season in the typical sloping fields and depressions in Mulun National Natural Reserve in Karst area were studied. The results indicated that in study area, the surface soil moisture content in dry season was still higher, and showed a fine semivariogram structure as a whole. The spatial distribution of moisture content in 0-5 cm and 5-10 cm soil layers, both for sloping fields and for depressions, fitted exponential model well.