Change point detection in brucellosis time series from 2010 to 2023 in Xinjiang China using the BEAST algorithm.

Brucellosis is a significant global challenge, but there has been a lack of epidemiological studies on brucellosis in Xinjiang from a change point perspective. This study aims to bridge this gap by employing sequence decomposition and identifying significant change points, with datasets sourced from the Xinjiang Disease Prevention and Control Information System. This study employed the BEAST algorithm to decompose the brucellosis time series in Xinjiang from 2010 to 2023, while simultaneously identifying change points in the decomposed seasonal and trend components.

Design and mechanical analysis of a novel modular bionic earthworm robot with upright functionality.

With the escalating demand for exploration within confined spaces, bionic design methodologies have attracted considerable attention from researchers, primarily due to the intrinsic limitations of human access to hazardous environments. However, contemporary bionic robots primarily attain linear motion through the axial radial deformation of their body segments, thereby lacking the upright functionality that is characteristic of these organisms. In response to the limitations associated with current bionic earthworm robots concerning upright capability and stiffness modulation, we propose an innovative bionic robot that incorporates upright functionality and programmable stiffness.

Machine learning models for water safety enhancement.

Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial radionuclides, and radiation generated by human activities. These radionuclides can infiltrate the human body through various pathways, potentially leading to cancer and genetic mutations. A study was conducted using random sampling to assess the concentrations of radioactive isotopes and heavy metals in mineral water from Iran, consumable at Arak City.

Sensorimotor adaptation reveals systematic biases in 3D perception.

The existence of biases in visual perception and their impact on visually guided actions has long been a fundamental yet unresolved question. Evidence revealing perceptual or visuomotor biases has typically been disregarded because such biases in spatial judgments can often be attributed to experimental measurement confounds. To resolve this controversy, we leveraged the visuomotor system's adaptation mechanism - triggered only by a discrepancy between visual estimates and sensory feedback - to directly indicate whether systematic errors in perceptual and visuomotor spatial judgments exist.

A machine learning decision support tool optimizes WGS utilization in a neonatal intensive care unit.

The Mendelian Phenotype Search Engine (MPSE), a clinical decision support tool using Natural Language Processing and Machine Learning, helped neonatologists expedite decisions to whole genome sequencing (WGS) to diagnose patients in the neonatal intensive care unit. After the MPSE was introduced, utilization of WGS increased, time to ordering WGS decreased, and WGS diagnostic yield increased.

Claudin-11 regulates immunological barrier formation and spermatogonial proliferation through stem cell factor.

Tight junctions (TJs) between adjacent Sertoli cells are believed to form immunological barriers that protect spermatogenic cells expressing autoantigens from autoimmune responses. However, there is no direct evidence that Sertoli cell TJs (SCTJs) do indeed form immunological barriers. Here, we analyzed male mice lacking claudin-11 (Cldn11), which encodes a SCTJ component, and found autoantibodies against antigens of spermatocytes/spermatids in their sera.

Domperidone inhibits dengue virus infection by targeting the viral envelope protein and nonstructural protein 1.

Dengue is a mosquito-borne disease caused by dengue virus (DENV) infection, which remains a major public health concern worldwide owing to the lack of specific treatments or antiviral drugs available. This study investigated the potential repurposing of domperidone, an antiemetic and gastrokinetic agent, to control DENV infection. Domperidone was identified by pharmacophore-based virtual screening as a small molecule that can bind to both the viral envelope (E) and the nonstructural protein 1 (NS1) of DENV.

Orally administered live BCG and heat-inactivated Mycobacterium bovis protect bison against experimental bovine tuberculosis.

Bovine tuberculosis (BTB) is an infectious disease of livestock and wildlife species that is caused by pathogenic members of the Mycobacterium tuberculosis complex such as Mycobacterium bovis. Due to the introduction of M. bovis-infected bison in the 1920s, BTB is now endemic in wood bison (Bison bison athabascae) population within the Wood Buffalo National Park (WBNP) in northern Canada.

Caerin 1.1/1.9-mediated antitumor immunity depends on IFNAR-Stat1 signalling of tumour infiltrating macrophage by autocrine IFNα and is enhanced by CD47 blockade.

Previously, we demonstrated that natural host-defence peptide caerin 1.1/caerin 1.9 (F1/F3) increases the efficacy of anti-PD-1 and therapeutic vaccine, in a HPV16 + TC-1 tumour model, but the anti-tumor mechanism of F1/F3 is still unclear.

PIF/harbinger transposon-derived protein promotes 7SL expression to enhance pathogen resistance.

Transcriptional regulation governs gene expression levels, primarily controlled by "cis-acting DNA elements" and "trans-acting protein factors". However, the conventional view that cis-regulation is solely attributable to DNA elements is challenged in this study. Our research indicates that transposon-derived proteins may retain their original DNA-binding preference and exert cis-regulatory effects on nearby genes on the chromosome, thus denoted as "cis-acting factors".

Genes related to neural tube defects and glioblastoma.

There are many similarities between early embryonic development and tumorigenesis. The occurrence of neural tube defects (NTDs) and glioblastoma (GBM) are both related to the abnormal development of neuroectodermal cells. To obtain genes related to both NTDs and GBM, as well as small molecule drugs with potential clinical application value.

Mendelian randomization analysis does not support a causal influence between lipoprotein(A) and immune-mediated inflammatory diseases.

Observational studies have reported an association between lipoprotein(a) (Lp(a)) and immune-mediated inflammatory diseases (IMIDs). This study used Mendelian Randomization (MR) and multivariable MR (MVMR) to explore the causal relationship between lipoprotein(a) [Lp(a)] and immune-mediated inflammatory diseases (IMIDs). We performed a bidirectional two-sample mendelian randomization analyses based on genome-wide association study (GWAS) summary statistics of Lp(a) and nine IMIDs, specifically celiac disease (CeD), Crohn's disease (CD), ulcerative colitis (UC), inflammatory bowel disease (IBD), multiple sclerosis (MS), psoriasis (Pso), rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), type 1 diabetes (T1D), and summary-level data for lipid traits.

Alzheimer's disease may develop from changes in the immune system, cell cycle, and protein processing following alterations in ribosome function.

The prevalence of Alzheimer's disease (AD) is increasing as society ages. The details of AD pathogenesis have not been fully elucidated, and a comprehensive gene expression analysis of the process leading up to the onset of AD would be helpful for understanding the mechanism. We performed an RNA sequencing analysis on a cohort of 1227 Japanese blood samples, representing 424 AD patients, 543 individuals with mild cognitive impairment (MCI), and 260 cognitively normal (CN) individuals.

Mechanistic study of the effect of a high-salt diet on the intestinal barrier.

Despite the established link between chronic high salt diet (HSD) and an increase in gut inflammation, the effect of HSD on the integrity of the intestinal barrier remains understudied. The present study aims to investigate the impact of HSD on the intestinal barrier in rats, encompassing its mechanical, mucous, and immune components. Expression levels of intestinal tight junction proteins and mucin-2 (MUC2) in SD rats were analyzed using immunofluorescence.

Comprehensive profiling of serum microRNAs in normal and non-alcoholic fatty liver disease (NAFLD) patients.

Pediatric non-alcoholic fatty liver disease (NAFLD) is emerging as a worldwide health concern with the potential to advance to cirrhosis and liver cancer. NAFLD can also directly contribute to heart problems through inflammation and insulin resistance, even in individuals without other risk factors. The pathological mechanisms of NAFLD are linked to functional differences of miRNAs in different biological environments.

A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy.

Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condition. However, our comprehension of the effectiveness and safety of herbal medicines for long COVID remains limited.

A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification.

Histopathology foundation models show great promise across many tasks, but analyses have been limited by arbitrary hyperparameters. We report the most rigorous single-task validation study to date, specifically in the context of ovarian carcinoma morphological subtyping. Attention-based multiple instance learning classifiers were compared using three ImageNet-pretrained encoders and fourteen foundation models, each trained with 1864 whole slide images and validated through hold-out testing and two external validations (the Transcanadian Study and OCEAN Challenge).

Improving UK data on avoidable perinatal brain injury: review of data dictionaries and consultation.

Background: High quality data is important to understanding epidemiology and supporting improvement efforts in perinatal brain injury. It is not clear which data items relevant to brain injury are captured across UK sources of routinely collected data, nor what needs to be done to ensure that those sources are fit for purpose in improving care.

Methods: We reviewed data dictionaries of four main UK perinatal data sources and consulted a multi-professional group (N = 27) with expertise in neonatal/maternity care, statistics, and clinical negligence.

Parallel median consensus clustering in complex networks.

We develop an algorithm that finds the consensus among many different clustering solutions of a graph. We formulate the problem as a median set partitioning problem and propose a greedy optimization technique. Unlike other approaches that find median set partitions, our algorithm takes graph structure into account and finds a comparable quality solution much faster than the other approaches.

A deep learning based model for diabetic retinopathy grading.

Diabetic retinopathy stands as a leading cause of blindness among people. Manual examination of DR images is labor-intensive and prone to error. Existing methods to detect this disease often rely on handcrafted features which limit the adaptability and classification accuracy.

EZH2 serves as a viable therapeutic target for myeloma-induced osteolytic bone destruction.

Myelomatous bone disease is a complication characterized by lytic bone lesions, reduced bone formation, bone pain, and increased fracture risk. Understanding these underlying mechanisms is crucial for developing effective therapeutic approaches. Here we show the role of enhancer of zeste homolog 2 (EZH2) in bone lesions induced by myeloma cells.

Noninvasive imaging biomarker reveals invisible microscopic variation in acute ischaemic stroke (≤ 24 h): a multicentre retrospective study.

To develop and validate non-contrast computed tomography (NCCT)-based radiomics method combines machine learning (ML) to investigate invisible microscopic acute ischaemic stroke (AIS) lesions. We retrospectively analyzed 1122 patients from August 2015 to July 2022, whose were later confirmed AIS by diffusion-weighted imaging (DWI). However, receiving a negative result was reported by radiologists according to the NCCT images.