Altered degree centrality and functional connectivity in girls with central precocious puberty.

Girls who suffer from central precocious puberty (CPP) are at risk of experiencing detrimental psychological and behavioural consequences, along with impaired brain development. However, the mechanism by which puberty hormones affect patients with CPP remains unclear. This study aimed to use degree centrality (DC) analysis to explore the impact of premature activation of the hypothalamic-pituitary-gonadal (HPG) axis on brain functional development in girls with CPP.

Risk factors and prediction model for acute ischemic stroke after off-pump coronary artery bypass grafting based on Bayesian network.

Background: This study aimed to identify the risk factors of acute ischemic stroke (AIS) occurring during hospitalization in patients following off-pump coronary artery bypass grafting (OPCABG) and utilize Bayesian network (BN) methods to establish predictive models for this disease.

Methods: Data were collected from the electronic health records of adult patients who underwent OPCABG at Beijing Anzhen Hospital from January 2018 to December 2022. Patients were allocated to the training and test sets in an 8:2 ratio according to the principle of randomness.

Impact of Concurrent Ischaemic Stroke on Unfavourable Outcomes in Men and Women with Dilated Cardiomyopathy.

Background: Growing evidence suggests that concurrent ischaemic stroke (IS) exacerbates the prognosis of patients with dilated cardiomyopathy (DCM) and that this effect may be further influenced by sex. However, the exact effect of sex remains unclear. This study aimed to explore the effects of the relevant risk factors on the prognosis of patients with DCM and concurrent IS.

GOA-optimized deep learning for soybean yield estimation using multi-source remote sensing data.

Accurately estimating large-area crop yields, especially for soybeans, is essential for addressing global food security challenges. This study introduces a deep learning framework that focuses on precise county-level soybean yield estimation in the United States. It utilizes a wide range of multi-variable remote sensing data.

CD4CD25 regulatory T cells ex vivo generated from autologous naïve CD4 T cells suppress EAE progression.

CD4CD25 regulatory T cells (Tregs) play an important role in maintaining immune homeostasis in multiple sclerosis (MS). Hence, we aimed to explore the therapeutic efficacy and safety of adoptive cell therapy (ACT) utilizing induced antigen-specific Tregs in an animal model of MS, that is, in an experimental autoimmune encephalomyelitis (EAE) model. B cells from EAE model that were activated with soluble CD40L were used as antigen-presenting cells (APCs) to induce the differentiation of antigen-specific Tregs from naïve CD4 precursors, and then, a stepwise isolation of CD4CD25CD127 Tregs was performed using a flow sorter.

A Bayesian network-based approach for identifying risk factors and predicting ischemic stroke in infective endocarditis patients.

Objective: This study aimed to seek the risk factors and develop a predictive model for ischemic stroke (IS) in patients with infective endocarditis (IE) utilizing a Bayesian network (BN) approach.

Methods: Data were obtained from the electronic medical records of all adult patients at three hospitals between 1 January 2018, and 31 December 2022. Two predictive models, logistic regression and BN, were used.

Characterization of antigen-specific CD8+ memory T cell subsets in peripheral blood of patients with multiple sclerosis.

Background: Increasing evidence indicates the importance of CD8 T cells in autoimmune attack against CNS myelin and axon in multiple sclerosis (MS). Previous research has also discovered that myelin-reactive T cells have memory phenotype functions in MS patients. However, limited evidence is available regarding the role of CD8 memory T cell subsets in MS.

Nondestructive detection of nutritional parameters of pork based on NIR hyperspectral imaging technique.

Nondestructive detection of the nutritional parameters of pork is of great importance. This study aimed to investigate the feasibility of applying hyperspectral image technology to detect the nutrient content and distribution of pork nondestructively. Hyperspectral cubes of 100 pork samples were collected using a line-scan hyperspectral system, the effects of different preprocessing methods on the modeling effects were compared and analyzed, the feature wavelengths of fat and protein were extracted, and the full-wavelength model was optimized using the regressor chains (RC) algorithm.

An Intelligent Detector for Sensing Pork Freshness In Situ Based on a Multispectral Technique.

Fresh pork is prone to spoilage during storage, transportation, and sale, resulting in reduced freshness. The total viable count (TVC) and total volatile basic nitrogen (TVB-N) content are key indicators for evaluating the freshness of fresh pork, and when they reach unacceptable limits, this seriously threatens dietary safety. To realize the on-site, low-cost, rapid, and non-destructive testing and evaluation of fresh pork freshness, a miniaturized detector was developed based on a cost-effective multi-channel spectral sensor.

Ultrathin, reflective light-field imaging film realized by self-releasing UV-curable nanoimprinting lithography.

Light-field imaging has emerged as a technology allowing the capture of richer visual information from the world. Ultrathin, reflective light-field imaging film is fabricated by using self-releasing ultraviolet (UV)-curable nanoimprinting lithography. The plenoptic function is built to generate the dense reflective light field in a two-dimension plane in which the occlusion perception can be seamlessly incorporated in the recording process.

Holographic near-eye display based on complex amplitude modulation with band-limited zone plates.

A holographic near-eye display (NED) system based on complex amplitude modulation (CAM) with band-limited zone plates is proposed. The whole system mainly consists of a phase-only spatial light modulator (SLM), an Abbe-Porter filter system, an eyepiece, and an image combiner. The point source method based on band limited zone plates is used to accurately control the bandwidth of the target complex amplitude.