Estimation of mechanics parameters of rock in consideration of confining pressure using monitoring while drilling data

During the drilling process, high-strength rock can lead to various issues such as drilling suppression, bit wear, and increased operational costs. To ensure safe and efficient drilling operations, it is crucial to accurately predict the strength parameters of the rock and recommend modifications to operational procedures. This paper proposes a low-cost and fast measurement method for predicting the strength parameters of rock in the field. To evaluate the effectiveness of this method, a drilling process monitoring experiment was conducted on sandstone, limestone, and granite. The experiment studied the effect of confining pressure on the response of cutting with an impregnated diamond bit. By analyzing the relationship between the thrust force, torque force, and penetration depth under different confining pressures, the researchers developed an analytical model for drilling that considers confining pressure, compressed crushed zone, and bit geometry. The results show that the confining pressure has a significant effect on the cutting response. As the confining pressure increases, the thrust force, torque force, and penetration depth at the cutting point also increase. Furthermore, a new measurement method was proposed to determine the strength parameters, such as cohesion, internal friction angle, and unconfined compressive strength. The estimated strength parameters for the three rock types using the drilling method were in good agreement with those of the standard laboratory test, with an error range of 10%. This method of estimating rock strength parameters is a practical tool for engineers. It can continuously and quickly obtain the drilling parameters of in-situ rocks

FBXO5 acts as a novel prognostic biomarker for patients with cervical cancer

Background: Cervical cancer (CC) remains one of the most common and deadly malignancies in women worldwide. FBXO5, a protein-coding gene, is highly expressed in a variety of primary tumors and promotes tumor progression, however, its role and prognostic value in CC remain largely unknown.Methods: A key differential gene, FBXO5, was screened according to WGCNA based on immunohistochemical assays of clinical samples, multiple analyses of the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, including survival analysis, tumor mutational burden, GO, KEGG, tumor immune infiltration, and chemotherapeutic drug sensitivity, to explore the expression and prognostic value of FBXO5 in CC. The migration and invasiveness of cervical cancer cells following FBXO5 knockdown and overexpression were examined using wound healing and transwell assays, and the viability of cancer cells was assessed using CCK8 and EdU assays.Results:FBXO5 was discovered to be substantially expressed in CC tissues using data from our CC cohort and the TCGA database, and a survival analysis indicated FBXO5 as a predictive factor for poor overall survival in CC patients. In vitro, CC cells were more inclined to proliferate, migrate, and invade when FBXO5 was upregulated as opposed to when it was knocked down

Transient receptor potential channels’ genes forecast cervical cancer outcomes and illuminate its impact on tumor cells

Introduction: In recent years, there has been a strong association between transient receptor potential (TRP) channels and the development of various malignancies, drug resistance, and resistance to radiotherapy. Consequently, we have investigated the relationship between transient receptor potential channels and cervical cancer from multiple angles.Methods: Patients’ mRNA expression profiles and gene variants were obtained from the TCGA database. Key genes in transient receptor potential channel prognosis-related genes (TRGs) were screened using the least absolute shrinkage and selection operator (LASSO) regression method, and a risk signature was constructed based on the expression of key genes. Various analyses were performed to evaluate the prognostic significance, biological functions, immune infiltration, and response to immunotherapy based on the risk signature.Results: Our research reveals substantial differences between high and low-risk groups in prognosis, tumor microenvironment, tumor mutational load, immune infiltration, and response to immunotherapy. Patients in the high-risk group exhibited poorer prognosis, lower tumor microenvironment scores and reduced response to immunotherapy while showing increased sensitivity to specific targeted drugs. In vitro experiments further illustrated that inhibiting transient receptor potential channels effectively decreased the proliferation, invasion, and migration of cervical cancer cells.Discussion: This study highlights the significant potential of transient receptor potential channels in cervical cancer, emphasizing their crucial role in prognostic prediction and personalized treatment strategies. The combination of TRP inhibitors with immunotherapy and targeted drugs may offer promise for individuals affected by cervical cancer

Understanding the interaction of {10–12} twins and Mg17Al12 precipitates in magnesium alloys via high-resolution electron microscopy

The interactions between {10 1‾ 2} twins and basal precipitates in the Mg–8Al-0.5Zn alloys have been investigated using high-resolution transmission electron microscopy. The underlying interaction mechanisms at different twinning processes were analyzed in detail. In the process of twin propagation, the twin tip can traverse across multiple basal precipitates in the form of nucleation of new twins on the opposite side of the precipitates and continuously expand in the grain. Such re-nucleation events are suggested to be driven by the local stress concentration arising from the twin impinging upon the precipitate. During twin thickening, the precipitates undergo a small elastic deflection rather than plastic shearing when the twin engulf them. Furthermore, a large number of I1 stacking faults are activated at the twin-precipitate interface to accommodate the twinning shear. The orientation relationship (OR) of the precipitates inside the twin is changed from Burgers to [2 1‾1‾ 0]α//[11 1‾]β, (0 1‾ 10)α//(011)β, (0001)α//(2‾ 11‾)β when they are engulfed by twin

Carbon Emission Prediction Model and Analysis in the Yellow River Basin Based on a Machine Learning Method

Excessive carbon emissions seriously threaten the sustainable development of society and the environment and have attracted the attention of the international community. The Yellow River Basin is an important ecological barrier and economic development zone in China. Studying the influencing factors of carbon emissions in the Yellow River Basin is of great significance to help China achieve carbon peaking. In this study, quadratic assignment procedure regression analysis was used to analyze the factors influencing carbon emissions in the Yellow River Basin from the perspective of regional differences. Accurate carbon emission prediction models can guide the formulation of emission reduction policies. We propose a machine learning prediction model, namely, the long short-term memory network optimized by the sparrow search algorithm, and apply it to carbon emission prediction in the Yellow River Basin. The results show an increasing trend in carbon emissions in the Yellow River Basin, with significant inter-provincial differences. The carbon emission intensity of the Yellow River Basin decreased from 5.187 t/10,000 RMB in 2000 to 1.672 t/10,000 RMB in 2019, showing a gradually decreasing trend. The carbon emissions of Qinghai are less than one-tenth of those in Shandong, the highest carbon emitter. The main factor contributing to carbon emissions in the Yellow River Basin from 2000 to 2010 was GDP per capita; after 2010, the main factor was population. Compared to the single long short-term memory network, the mean absolute percentage error of the proposed model is reduced by 44.38%

Mixed formulation of mRNA and protein‐based COVID‐19 vaccines triggered superior neutralizing antibody responses

Abstract Integrating different types of vaccines into a singular immunization regimen is an effective and accessible approach to strengthen and broaden the immunogenicity of existing coronavirus disease 2019 (COVID‐19) vaccine candidates. To optimize the immunization strategy of the novel mRNA‐based vaccine and recombinant protein subunit vaccine that attracted much attention in COVID‐19 vaccine development, we evaluated the immunogenicity of different combined regimens with the mRNA vaccine (RNA‐RBD) and protein subunit vaccine (PS‐RBD) in mice. Compared with homologous immunization of RNA‐RBD or PS‐RBD, heterologous prime‐boost strategies for mRNA and protein subunit vaccines failed to simultaneously enhance neutralizing antibody (NAb) and Th1 cellular response in this study, showing modestly higher serum neutralizing activity and antibody‐dependent cell‐mediated cytotoxicity for “PS‐RBD prime, RNA‐RBD boost” and robust Th1 type cellular response for “RNA‐RBD prime, PS‐RBD boost”. Interestingly, immunizing the mice with the mixed formulation of the two aforementioned vaccines in various proportions further significantly enhanced the NAb responses against ancestral, Delta, and Omicron strains and manifested increased Th1‐type responses, suggesting that a mixed formulation of mRNA and protein vaccines might be a more prospective vaccination strategy. This study provides basic research data on the combined vaccination strategies of mRNA and protein‐based COVID‐19 vaccines

4D printing of shape memory inferior vena cava filters based on copolymer of poly(glycerol sebacate) acrylate-co-hydroxyethyl methacrylate (PGSA-HEMA)

Biodegradable shape memory polymers (SMP) with suitable transition temperatures (Tr) and mechanical properties are highly demanded in biomedical field as deployable medical devices. Herein, we report a 4D printing shape memory Inferior Vena Cava Filters (IVCFs), an implantation device, which could prevent the fatal pulmonary embolism, to exemplify the applicability of the biodegradable shape memory polymer in biomedical device field. The IVCF composed of poly(glycerol sebacate) acrylate-co-hydroxyethyl methacrylate (PGSA-co-HEMA) was digital light processing (DLP) 3D printed. The appropriate mechanical property and Tr = 37.8 °C, which is close to human body temperature, was tailored by tuning the ratio of the raw material. PGSA-PHEMA presents an excellent cytocompatibility, hemocompatibility and histocompatibility as implants. Besides, in vitro degradation results indicate the biodegradability but withhold the mechanical properties within the service time. Furthermore, the simulated filter deploying and fully emboli interception verifies the successful realization of the concept of rapid, minimally invasive and controllable implantation of the 4D printing of IVCFs through the SMP transformation process, and the feasibility of the filter as well. Therefore, this work provides a new biocompatible SMP and offers a new strategy for developing deployable medical devices