Prediction model and real-time diagnostics of hydraulic fracturing pressure for highly deviated wells in deep oil and gas reservoirs.

It is a common occurrence in the fracture processes of deep carbonate reservoirs that the fracturing construction pressure during hydraulic fracturing operation exceeds 80 MPa. The maximum pumping pressure is determined by the rated pressure of the pumping pipe equipment and the reservoir characteristics, which confine the fracture to the target area. When the pump pressure exceeds the safety limit, hydraulic fracturing has to reduce the construction displacement to prevent potential accidents caused by overpressure.

A bHLH transcription factor RrUNE12 regulates salt tolerance and promotes ascorbate synthesis.

RrUNE12 binds to the RrGGP2 promoter to facilitate biosynthesis of AsA in Rosa roxburghii fruit. Furthermore, RrUNE12 upregulates antioxidant-related genes and maintains ROS homeostasis, thereby improving tolerance to salt stress. L-ascorbic acid (AsA) plays an essential role in stress defense as a major antioxidant in plant cells.

Utilizing hydrophobic sand to construct an air permeable aquiclude to enhance rice yields.

The Chinese government attaches great importance to the ecological restoration of abandoned open-pit mines, increasing the area of cultivated land, and ensuring food security. Soil reconstruction is a crucial step in ecological restoration of abandoned open-pit mines. This study investigated the utilization of hydrophobic sand to create an Air-Permeable Aquiclude (APAC) under the plant root zones, thereby minimizing water infiltration and enhancing soil aeration.

An integrated approach to predict genetic risk for Mosquito-Borne diseases in the local Population of Tehsil Haripur, Khyber Pakhtunkhwa, Pakistan.

Highly variable response shown by individuals against mosquito-borne infections suggests that host genetic factors play an important role in determining mosquito-borne disease onset. Therefore, it is necessary to determine the genetic risk of these diseases in specific populations. The current study aimed to determine the percentage of individuals in the general population carrying mosquito-borne disease susceptibility and protection-related variants.

A phenotype-based AI pipeline outperforms human experts in differentially diagnosing rare diseases using EHRs.

Rare diseases, affecting ~350 million people worldwide, pose significant challenges in clinical diagnosis due to the lack of experienced physicians and the complexity of differentiating between numerous rare diseases. To address these challenges, we introduce PhenoBrain, a fully automated artificial intelligence pipeline. PhenoBrain utilizes a BERT-based natural language processing model to extract phenotypes from clinical texts in EHRs and employs five new diagnostic models for differential diagnoses of rare diseases.

The role of CLDN11 in promotion of granulosa cell proliferation in polycystic ovary syndrome via activation of the PI3K-AKT signalling pathway.

Polycystic ovary syndrome (PCOS) is a complex gynecological endocrinological condition that significantly impacts women's fertility during their reproductive lifespan. The causes of PCOS are multifaceted, and its pathogenesis is not yet clear. This study established a rat model of PCOS and, in conjunction with clinical samples and database data, analysed the role of claudin 11 (CLDN11) in follicular granulosa cells (GCs) in regulating the proliferation of GCs.

DRAM1 enhances the proliferation and metastasis of gastric cancer through the PI3K/AKT/mTOR signaling pathway and energy metabolism.

Gastric cancer (GC) is a prevalent malignant tumor of the digestive system that is often diagnosed at advanced stages owing to inconspicuous early symptoms and a lack of specific examination methods. Effective treatment of advanced stages remains challenging, emphasizing the need for new therapeutic targets. Metabolic reprogramming, a hallmark of tumors, plays a pivotal role in tumor progression, immune evasion, and immune surveillance.

Molecular epidemiology of chicken and turkey parvovirus in Turkiye: high risk, genetic recombination signals, and first complete genome analysis.

The aim of this study was to detect chicken parvovirus (ChPV) and turkey parvovirus (TuPV) on Turkish poultry farms and examine the molecular epidemiology of these viruses. In 2023, a total of 1,060 fecal samples were collected from 76 broiler farms and 30 turkey farms across various regions of Turkiye. The overall positivity rate was 72.

Leveraging synthetic data to improve regional sea level predictions.

The rapid increase in sea levels driven by climate change presents serious risks to coastal communities around the globe. Traditional prediction models frequently concentrate on developed regions with extensive tide gauge networks, leaving a significant gap in data and forecasts for developing countries where the tide gauges are sparse. This study presents a novel deep learning approach that combines TimesGAN with ConvLSTM to enhance regional sea level predictions using the more widely available satellite altimetry data.

A copy number variation detection method based on OCSVM algorithm using multi strategies integration.

Copy number variation (CNV) is an important part of human genetic variations, which is associated with various kinds of diseases. To tackle the limitations of traditional CNV detection methods, such as restricted detection types, high error rates, and challenges in precisely identifying the location of variant breakpoints, a new method called MSCNV (copy number variations detection method for multi-strategies integration based on a one-class support vector machine model) is proposed. MSCNV establishes a multi-signal channel that integrates three strategies: read depth, split read, and read pair.

Redox regulation of TRIM28 facilitates neuronal ferroptosis by promoting SUMOylation and inhibiting OPTN-selective autophagic degradation of ACSL4.

Ferroptosis is one of the cell death programs occurring after spinal cord injury (SCI) and is driven by iron-dependent phospholipid peroxidation. However, little is known about its underlying regulation mechanism. The present study demonstrated that lipid peroxidation was promoted in patients with SCI.

YAP/TEAD4/SP1-induced VISTA expression as a tumor cell-intrinsic mechanism of immunosuppression in colorectal cancer.

Hyperactivation of the YAP/TEAD transcriptional complex in cancers facilitates the development of an immunosuppressive tumor microenvironment. Herein, we observed that the transcription factor SP1 physically interacts with and stabilizes the YAP/TEAD complex at regulatory genomic loci in colorectal cancer (CRC). In response to serum stimulation, PKCζ (protein kinase C ζ) was found to phosphorylate SP1 and enhance its interaction with TEAD4.

Using partially shared radiomics features to simultaneously identify isocitrate dehydrogenase mutation status and epilepsy in glioma patients from MRI images.

Prediction of isocitrate dehydrogenase (IDH) mutation status and epilepsy occurrence are important to glioma patients. Although machine learning models have been constructed for both issues, the correlation between them has not been explored. Our study aimed to exploit this correlation to improve the performance of both of the IDH mutation status identification and epilepsy diagnosis models in patients with glioma II-IV.

An optimal workflow scheduling in IoT-fog-cloud system for minimizing time and energy.

Today, with the increasing use of the Internet of Things (IoT) in the world, various workflows that need to be stored and processed on the computing platforms. But this issue, causes an increase in costs for computing resources providers, and as a result, system Energy Consumption (EC) is also reduced. Therefore, this paper examines the workflow scheduling problem of IoT devices in the fog-cloud environment, where reducing the EC of the computing system and reducing the MakeSpan Time (MST) of workflows as main objectives, under the constraints of priority, deadline and reliability.

The effect of air pollution exposure on foetal growth restriction in pregnant women who conceived by in vitro fertilisation a cross-sectional study.

Studies investigating the relationship between exposure to air pollutants during pregnancy and foetal growth restriction (FGR) in women who conceive by in vitro fertilisation (IVF) are lacking. The objective was to investigate the effect of air pollutant exposure in pregnancy on FGR in pregnant women who conceive by IVF. We included pregnant women who conceived by IVF and delivered healthy singleton babies in Guangzhou from October 2018 to September 2023.

Integrative multi-omics analysis reveals the translational landscape of the plant-parasitic nematode Meloidogyne incognita.

Root-knot nematodes (RKNs) of the genus Meloidogyne pose the most significant threats to global food security due to their destructive nature as plant-parasitic nematodes. Although significant attention has been devoted to investigating the gene transcription profiling of RKNs, our understanding of the translational landscape of RKNs remains limited. In this study, we elucidated the translational landscape of Meloidogyne incognita through the integration of translatome, transcriptome and quantitative proteome analyses.

Mendelian randomization analysis of plasma proteins reveals potential novel tumor markers for gastric cancer.

This study aimed to elucidate the potential causal relationship between 4,907 plasma proteins and the risk of gastric cancer using a two-sample Mendelian randomization approach. We utilized genome-wide association study (GWAS) data to perform two-sample Mendelian randomization analyses, treating the 4,907 plasma proteins as exposure factors and gastric cancer as the outcome. Instrumental variables for plasma proteins were selected based on strongly correlated SNPs identified through data processing and screening of the GWAS data provided by the deCode database.

A multilayered regulatory network mediated by protein phosphatase 4 controls carbon catabolite repression and de-repression in Magnaporthe oryzae.

Carbon catabolite repression (CCR) and de-repression (CCDR) are critical for fungal development and pathogenicity, yet the underlying regulatory mechanisms remain poorly understood in pathogenic fungi. Here, we identify a serine/threonine protein phosphatase catalytic subunit, Pp4c, as essential for growth, conidiation, virulence, and the utilization of carbohydrates and lipids in Magnaporthe oryzae. We demonstrate that the protein phosphatase 4 complex (Pp4c and Smek1 subunits), the AMP-activated protein kinase (AMPK) Snf1, and the transcriptional regulators CreA (repressor) and Crf1 (activator) collaboratively regulate the utilization of non-preferred carbon sources.

Abstract visual reasoning based on algebraic methods.

Extracting high-order abstract patterns from complex high-dimensional data forms the foundation of human cognitive abilities. Abstract visual reasoning involves identifying abstract patterns embedded within composite images, considered a core competency of machine intelligence. Traditional neuro-symbolic methods often infer unknown objects through data fitting, without fully exploring the abstract patterns within composite images and the sequential sensitivity of visual sequences.

Biomechanical analysis of a newly designed and 3D printed plate-locking interbody cage: an observational study of finite element analysis.

Anterior cervical interbody fusion (ACDF) has become a classic surgical procedure for the treatment of cervical degenerative diseases, and various interbody cages are widely used in this procedure. We used 3D printing technology to produce a new type of plate-locking cage, anticipating to achieve high fusion rate with the high biomechanical stability. This study is to compare the biomechanical characteristics between a newly designed interbody cage and a conventional Zero-profile cage during ACDF using finite element analysis.

Preliminary evidence of immune infiltration and neutrophil degranulation in peripheral blood of non-obese OSA patients related to cognitive decline.

Obstructive sleep apnea (OSA) patients have varying degrees of cognitive impairment, but the specific pathogenic mechanism is still unclear. Meanwhile, poor compliance with continuous positive airway pressure (CPAP) in OSA prompts better solutions. This study aimed to identify differentially expressed genes between the non-obese OSA patients and healthy controls, and to explore potential biomarkers associated with cognitive impairment.

A study on the production of extracellular vesicles derived from novel immortalized human placental mesenchymal stromal cells.

Extracellular vesicles (EVs) are not only involved in cell-to-cell communications but have other functions as "garbage bags", as bringing nutrients to cells, and as inducing mineral during bone formation and ectopic calcification. These minuscule entities significantly contribute to the regulation of bodily functions. However, the clinical application of EVs faces challenges due to limited production yield and targeting efficiency.

Association between ethylene oxide exposure and cognitive function in older adults from NHANES data.

Ethylene Oxide (EO), a volatile organic compound, has garnered considerable attention for its potential impact on human health. Yet, the ramifications of EO exposure on the cognitive functionality of the elderly remain unclear. The aim of this study is to determine whether EO exposure in the elderly correlates with cognitive function.

Characterization of Bozitinib as a potential therapeutic agent for MET-amplified gastric cancer.

Hyperactive c-Met signaling pathway caused by altered MET is a common mechanism underlying gastric cancer and represents an attractive target for the treatment of gastric cancer with MET alterations. However, no c-Met kinase inhibitors are currently approved specifically for the treatment of c-Met-amplified gastric cancer. Recently, bozitinib, a highly selective c-Met kinase inhibitor, has shown remarkable potency in selectively inhibiting MET-altered non-small cell lung cancer and secondary glioblastoma.

Influencing factors of hand, foot, and mouth disease based on structural equation modeling in Hubei, China.

Hand, foot and mouth disease (HFMD) is a major public health issue in Hubei Province; however, research on the direct and indirect effects of factors affecting HFMD is limited. This study employed structural equation modeling (SEM) and geographically weighted regression (GWR) to investigate the various impacts and spatial variations in the factors influencing the HFMD epidemic in Hubei Province from 2016 to 2018. The results indicated that (1) with respect to the direct effects, the number of primary school students had the greatest positive direct effect on the number of HFMD cases, with a coefficient of 0.