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.

The impact of air pollution on career changes among Chinese workers.

The influence exerted by air pollution on interregional workforce migration has garnered considerable attention in ecological economics over time; however, relatively scant consideration has been given to its effects on occupational transition dynamics. This study presents an empirical examination of the influence of air pollution on job changes among the working population and seeks to understand the underlying causal mechanisms. By merging detailed micro-level survey data with regional Fine particulate matter (PM) data from Chinese counties spanning the years 1997 to 2015, we have constructed an extensive database to support our analysis.

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.

Equilibrium study of logistics demand and logistics resource allocation in Guangdong Province.

Logistics serve as a vital link between production and consumption. The balanced allocation of logistics demand and resources can promote the harmonious development of the logistics system, thereby fostering regional economic growth. As a leading region in China's reform and opening-up, Guangdong Province has experienced high economic growth.

Integrating multiomics analysis and machine learning to refine the molecular subtyping and prognostic analysis of stomach adenocarcinoma.

Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly precise treatment options. We downloaded the multiomics data of STAD patients in The Cancer Genome Atlas (TCGA)-STAD cohort, which included mRNA, microRNA, long non-coding RNA, somatic mutation, and DNA methylation data, from the sxdyc website. We synthesized the multiomics data of patients with STAD using 10 clustering methods, construct a consensus machine learning-driven signature (CMLS)-related prognostic models by combining 10 machine learning methods, and evaluated the prognosis models using the C-index.

Development and validation of a frailty risk model for patients with mild cognitive impairment.

The study aims to develop and validate an effective model for predicting frailty risk in individuals with mild cognitive impairment (MCI). The cross-sectional analysis employed nationally representative data from CHARLS 2013-2015. The sample was randomly divided into training (70%) and validation sets (30%).

Robot-assisted PFNA surgery improves clinical outcomes in the treatment of unstable femoral intertrochanteric fractures in elderly patients compared with traditional PFNA surgery.

To assess the clinical outcomes of robot-assisted proximal femoral nail antirotation (PFNA) surgery in elderly patients with unstable femoral intertrochanteric fractures (UFIFs). 151 patients who underwent UFIF and PFNA surgery between January 2020 and May 2024 were analyzed retrospectively. Of these, 78 patients were treated with traditional PFNA surgery (control group), and 73 patients were treated with robot-assisted PFNA surgery (observation group).

Stable quantum droplets with high-order vorticity in zero-order Bessel lattice.

A theoretical framework is presented to investigate the stability of novel two-dimensional quantum droplets within zeroth-order Bessel lattices. The evolution of quantum droplets is studied by the Gross-Pitaevskii equations with Lee-Huang-Yang corrections. The circular groove structure inherent in the zeroth-order Bessel lattice potential facilitates the formation of distinct configurations, including stable zero-vorticity annular quantum droplets and annular quantum droplets featuring embedded vorticity.

Concurrent inhibition of p300/CBP and FLT3 enhances cytotoxicity and overcomes resistance in acute myeloid leukemia.

FMS-like tyrosine kinase-3 (FLT3), a class 3 receptor tyrosine kinase, can be activated by mutations of internal tandem duplication (FLT3-ITD) or point mutations in the tyrosine kinase domain (FLT3-TKD), leading to constitutive activation of downstream signaling cascades, including the JAK/STAT5, PI3K/AKT/mTOR and RAS/MAPK pathways, which promote the progression of leukemic cells. Despite the initial promise of FLT3 inhibitors, the discouraging outcomes in the treatment of FLT3-ITD-positive acute myeloid leukemia (AML) promote the pursuit of more potent and enduring therapeutic approaches. The histone acetyltransferase complex comprising the E1A binding protein P300 and its paralog CREB-binding protein (p300/CBP) is a promising therapeutic target, but the development of effective p300/CBP inhibitors faces challenges due to inherent resistance and low efficacy, often exacerbated by the absence of reliable clinical biomarkers for patient stratification.

Association between cardiovascular health and osteoporotic fractures: a national population-based study.

Osteoporotic fractures are a major public health concern, particularly among the aging population, as they significantly contribute to morbidity, mortality, and reduced quality of life. While cardiovascular health (CVH) has traditionally been linked to cardiovascular disease outcomes, emerging evidence suggests it may also influence bone health. This study investigates the association between CVH, as measured by the Life's Essential 8 (LE8) score, and the prevalence of osteoporotic fractures in U.

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.

Application of mean maximum Young's modulus value as a new parameter for differential diagnosis of prostate diseases.

Transrectal shear wave elastography (T-SWE) can be used non-invasively to diagnose prostate cancer (PCa) and benign prostatic hyperplasia (BPH). The prostate tissue can be viewed as an ellipsoidal sphere with viscoelastic characterization. Linear elastic model has been used to characterize soft tissues, and the simplification of partial characterization provides incomplete information.

A comparative review of murine models of repeated low-dose cisplatin-induced chronic kidney disease.

This Review evaluates various mouse and rat models of chronic kidney disease (CKD) that result from repeated low-dose cisplatin (RLDC) treatment while also discussing ethical considerations on the topic. Cisplatin can cause nephrotoxicity, and high doses of cisplatin can cause acute kidney injury. The RLDC regimen has been used in the treatment of solid organ cancers and has shown efficacy in reducing the occurrence of acute kidney injury in patients.

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.

Association between surgery and increased survival in primary central nervous system lymphoma: a retrospective cohort study.

This study investigated the effect of surgery on the prognosis of patients with primary central nervous system lymphoma (PCNSL) using data from the surveillance, epidemiology, and end results (SEER) database. A cohort of 5932 patients was analyzed, with 1466 undergoing surgical intervention (780 subtotal resection (STR), 686 gross total resection (GTR)) and 4466 receiving no surgery or biopsy only. The median age of the study population was 61.

Study on the catalytic mechanism and water resistance of Cu-Mn-Sn catalyst for CO elimination.

CO in coal mine underground spaces can easily cause casualties among miners. The humidity in coal mines is relatively high, and traditional Cu-Mn catalysts are prone to deactivation. Compared to traditional Cu-Mn catalysts, doping with Sn enhances the activity and water resistance of Cu-Mn catalysts.

An Integrative lifecycle design approach based on carbon intensity for renewable-battery-consumer energy systems.

Driven by sustainable development goals and carbon neutrality worldwide, demands for both renewable energy and storage systems are constantly increasing. However, the lack of an appropriate approach without considering renewable intermittence and demand stochasticity will lead to capacity oversizing or undersizing. In this study, an optimal design approach is proposed for integrated photovoltaic-battery-consumer energy systems in the form of a m-kWp-kWh relationship in both centralized and distributed formats.

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.

Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification.

In the task of pavement distress recognition and classification, the complexity of the pavement environment, the small proportion of distresses in images, significant variation in distress scales, and the influence of features such as vehicles and traffic signs in the data make distress feature extraction challenging. This paper proposes a spectrum focus transformer (SFT) layer, which processes the signal spectrum and focuses on important frequency components. Initially, by thoroughly analyzing the frequency domain characteristics of image data, frequency value distribution information is obtained to achieve fine-tuning of different frequency components.