Imputing missing values in high-dimensional time-series data remains a significant challenge statistics and machine learning. Although various methods have been proposed recent years, many struggle with limitations reduced accuracy, particularly when the rate is high. In this work, we present novel f-divergence-based bidirectional generative adversarial imputation network, tf-BiGAIN, designed to address these challenges imputation. Unlike traditional methods, tf-BiGAIN employs model...

Refractory high-entropy alloys (RHEAs) have promising applications as the new generation of high-temperature in hypersonic vehicles, aero-engines, gas turbines, and nuclear power plants. This study focuses on microstructures mechanical properties NbMoTaW(HfN)x (x = 0, 0.3, 0.7, 1.0) RHEAs. The consist multiple phases body-centered cubic (BCC), hafnium nitride (HfN), or multicomponent (MN) phases. As x contents increase, grain size becomes smaller, strength gradually increases. compressive...

Recent studies have found that overexpression of the High-mobility group box-1 (HMGB1) protein, in conjunction with its receptors for advanced glycation end products (RAGEs) and toll-like (TLRs), is associated proliferation various cancer types, including breast pancreatic.We developed a rule-based model crosstalk between HMGB1 signaling pathway other key pathways. The has been simulated using both ordinary differential equations (ODEs) discrete stochastic simulation. We applied an automated...

The increasing antibiotic resistance of mycoplasma underscores the need for new therapeutic strategies, particularly those targeting alveolar macrophages (AMs). AMs are crucial pulmonary immunity but suffer from impaired immune and endocytic functions during infection due to TNF-α-induced necroptosis. This study demonstrates that icariin (ICA), a bioactive flavonoid with anti-inflammatory properties, reduces necroptosis TNF-α secretion in infected AMs, mitigating lung inflammation. However,...

The purpose of anomaly detection is to identify special data points or patterns that significantly deviate from the expected typical behavior majority data, and it has a wide range applications across various domains. Most existing statistical machine learning-based algorithms face challenges when applied high-dimensional data. For instance, unconstrained least-squares importance fitting (uLSIF) method, state-of-the-art approach, encounters unboundedness problem under certain conditions. In...

Ultrasonic peening treatment (UPT) has been proved to be an effective way of improving residual stresses distribution in weld structures. Thus, it shows a great potential stress modification for metal parts fabricated by additive manufacturing technology. In this paper, investigation into the ultrasonic process AlSi10Mg specimens selective laser melting (SLM) was conducted means experimental and numerical simulation. The were prepared using SLM machine, UPT on their top surface carried out....

Change-point detection is a challenging problem that has number of applications across various real-world domains. The primary objective CPD to identify specific time points where the underlying system undergoes transitions between different states, each characterized by its distinct data distribution. Precise identification change in series omics can provide insights into dynamic and temporal characteristics inherent complex biological systems. Many change-point methods have traditionally...

This paper describes a research endeavor aimed at exploring the role that technology can play in improving child literacy developing communities. An initial pilot study and subsequent four-month-long controlled field Ghana investigated viability effectiveness of an automated reading tutor helping urban children enhance their skills English. In addition to quantitative data suggesting tutoring be useful for some this setting, these studies additional preliminary Zambia yielded qualitative...

As a novel manufacturing methodology, 3D printing or additive (AM) attracts much more attentions for complex structure fabrication, especially metal parts. A number of AM processes have been studied and commercialized. However, most them are costly less accessible. This paper introduces material extrusion based process making austenitic stainless steel 316L part using metal-polymer composite filament (Ultrafuse 316LX). The specimens printed by commonly used printer loaded with Ultrafuse...

Tetraploidy was induced in vitro mat rush (Juncus effusus L.) cultivar Nonglin-4 by exposure to colchicine (0, 50, 100 and 500 mg dm-3) for 6, 12 24 h. Flow cytometric analysis used confirm the ploidy level. Anatomical ultrastructural analyses at cellular subcellular levels tetraploid diploid control plants revealed differences between plants. The leaf epidermis had larger stomata but lower stomatal density In addition, mesophyll cells appeared more compact showed less intercellular spaces...

Pancreatic cancer is the fourth leading cause of deaths in United States with five-year survival rates less than 5% due to rare detection early stages. Identification genes that are directly correlated pancreatic crucial for diagnostics and treatment. However, no existing GWAS or transcriptome studies available addressing this problem. We apply lasso penalized Cox regression a study identify related survival. This method capable handling right censoring effect times ultrahigh dimensionality...

Recent global genomic analyses identified 69 gene sets and 12 core signaling pathways genetically altered in pancreatic cancer, which is a highly malignant disease. A comprehensive understanding of the genetic signatures that are directly correlated to cancer survival will help researchers develop effective multi-gene targeted, personalized therapies for patients at different stages. previous work applied LASSO penalized regression method, only considered individual effects, genes associated...

Abstract Motivation Reprogramming somatic cells into neurons holds great promise to model neuronal development and disease. The efficiency success rate of reprogramming, however, may vary between different conversion platforms cell types, thereby necessitating an unbiased, systematic approach estimate identity converted cells. Recent studies have demonstrated that long genes (>100 kb from transcription start end) are highly enriched in neurons, which provides opportunity identify...

The Golgi apparatus plays a central role in processing and sorting proteins lipids eukaryotic cells. compartments constantly exchange material with each other cellular components, allowing them to maintain reform distinct identities despite dramatic changes structure size during cell division, development, osmotic stress. We have developed three minimal models of membrane protein the Golgi---a discrete, stochastic model, continuous ordinary differential equation model---each based on two...

This paper describes a research endeavor aimed at exploring the role that technology can play in improving child literacy developing communities. An initial pilot study and subsequent four-month-long controlled field Ghana investigated viability effectiveness of an automated reading tutor helping urban children enhance their skills English. In addition to quantitative data suggesting tutoring be useful for some this setting, these studies additional preliminary Zambia yielded qualitative...

Recent cancer studies revealed, the interaction between pancreatic cells and stellate is of importance in progression. The activation mediated by some growth factors cytokines secreted cells. In turn, activated will synthesize secrete multiple to continuously stimulate surrounding through paracrine pathways. mechanism behind evolution from quiescent state a cancer-associated phenotype still not well understood. To systematically investigate cells, we constructed multicellular discrete value...

ER-Golgi network plays an important role in the processing, sorting and transport of proteins, it's also a site for many signaling pathways that regulate cell cycle. Accumulating evidence suggests that, stressed ER malfunction Golgi apparatus are associated with pathogenesis cancer Alzheimer's disease (AD). Our previous work discovered verified altering expression levels target SNARE GEF could modulate size apparatus. Moreover, Golgi's structure undergo dramatic changes during development...

We apply formal verification techniques for studying the behavior of signaling pathways important in cancer. In particular, we use Model Checking verifying behavioral properties a single-cell, silico model pancreatic are interested associated with apoptosis (programmed cell death), cycle arrest and proliferation. The specified temporal logics include, example, whether there checkpoints that cancer should go through before it reaches given state. Our includes several major pathways, including...