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Search results for: IN SILICO METABOLISM PREDICTION
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Diabetes & Metabolism Journal
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Drug Metabolism and Pharmacokinetics
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DIABETES NUTRITION & METABOLISM
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Journal of Diabetes & Metabolism
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Drug Metabolism Letters
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Human Nutrition and Metabolism
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MOLECULAR GENETICS AND METABOLISM
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METABOLISM-CLINICAL AND EXPERIMENTAL
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Obesity and Metabolism-Milan
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Endocrinology, Diabetes and Metabolism
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Journal of Bone Metabolism
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Evaluation of bioconcentration and metabolism of diclofenac in mussels Mytilus trossulus - laboratory study
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Central carbon metabolism influences fidelity of DNA replication in Escherichia coli
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Lactose and β-Glucosides Metabolism and Its Regulation in Lactococcus lactis: A Review
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Activities of genes controlling sphingolipid metabolism in human fibroblasts treated with flavonoids
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Modulation of expression of genes involved in glycosaminoglycan metabolism and lysosome biogenesis by flavonoids
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Ascorbate and glutathione metabolism in embryo axes and cotyledons of germinating lupine seeds
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Renal Regulation of Calcium-Phosphate Metabolism in Single- and Twin Pregnant Goats
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Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries
PublicationIn developed countries, the first studies on forecasting bankruptcy date to the early 20th century. In Central and Eastern Europe, due to, among other factors, the geopolitical situation and the introduced economic system, this issue became the subject of researcher interest only in the 1990s. Therefore, it is worthwhile to analyze whether these countries conduct bankruptcy risk assessments and what their level of advancement is....
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublicationMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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Fast and reliable knowledge-based design closure of antennas by means of iterative prediction-correction scheme
PublicationA novel framework for expedited antenna optimization with an iterative prediction-correction scheme is proposed. The methodology is comprehensively validated using three real-world antenna structures: narrow-band, dual-band and wideband, optimized under various design scenarios. The keystone of the proposed approach is to reuse designs pre-optimized for various sets of performance specifications and to encode them into metamodels...
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Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
PublicationNowadays, due to improvements in seismic codes and computational devices, retrofitting buildings is an important topic, in which, permanent deformation of buildings, known as Residual Interstory Drift Ratio (RIDR), plays a crucial role. To provide an accurate yet reliable prediction model, 32 improved Machine Learning (ML) algorithms were considered using the Python software to investigate the best method for estimating Maximum...
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Estimation and Prediction of Vertical Deformations of Random Surfaces, Applying the Total Least Squares Collocation Method
PublicationThis paper proposes a method for determining the vertical deformations treated as random fields. It is assumed that the monitored surfaces are subject not only to deterministic deformations, but also to random fluctuations. Furthermore, the existence of random noise coming from surface’s vibrations is also assumed. Such noise disturbs the deformation’s functional models. Surface monitoring with the use of the geodetic levelling...
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Age Prediction from Low Resolution, Dual-Energy X-ray Images Using Convolutional Neural Networks
PublicationAge prediction from X-rays is an interesting research topic important for clinical applications such as biological maturity assessment. It is also useful in many other practical applications, including sports or forensic investigations for age verification purposes. Research on these issues is usually carried out using high-resolution X-ray scans of parts of the body, such as images of the hands or images of the chest. In this...
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Light-dependent and light-independent protochlorophyllide oxidoreductases share similar sequence motifs -in silico studies
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Toward Nano‐Specific In Silico NAMs: How to Adjust Nano‐QSAR to the Recent Advancements of Nanotoxicology?
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Silica In Silico: A Molecular Dynamics Characterization of the Early Stages of Protein Embedding for Atom Probe Tomography
PublicationA novel procedure for the application of atom probe tomography (APT) to the structural analysis of biological systems, has been recently proposed, whereby the specimen is embedded by a silica matrix and ablated by a pulsed laser source. Such a technique, requires that the silica primer be properly inert and bio-compatible, keeping the native structural features of the system at hand, while condensing into an amorphous, glass-like...
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Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries
PublicationCatheter-induced dissections (CID) of coronary arteries and/or the aorta are among the most dangerous complications of percutaneous coronary procedures, yet the data on their risk factors are anecdotal. Logistic regression and five more advanced machine learning techniques were applied to determine the most significant predictors of dissection. Model performance comparison and feature importance ranking were evaluated. We identified...
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Prediction of Weld Deformations by Numerical Methods - Review
PublicationThe welding process is the basic technique of joining in the shipbuilding industry. This method generates welding distortions that cause a lot of problems during the manufacturing process due to both the time and cost of straightening as well as their influence on later stages of production. Proper preparation of welding processes plays a growing role in the shipbuilding industry and the development of calculating tools is being...
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Prediction of Deflagrative Explosions in Variety of Closed Vessels
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Creep failure prediction of pipelines in elevated temperature
PublicationW pracy omówiono zastoswanie modelu konstytutytwnego pełzania pozwalającego na analizę trwałości metalowych ruruciągów pracujących w wysokich temperaturach. Zaprezentowano wyniki obliczeń opartych na metodzie elementów skończonych (MES) wykonanych z wykorzystaniem procedur użytkownika w komercyjnym programie MES. Porównano wyniki dla dwóch typów 4-węzłowych elementów powłokowych.
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Pitch etection enhancement employing music prediction.
PublicationW artykule przedstawiono przegląd metod detekcji częstotliwości podstawowej we frazach muzycznych. Wskazano też główne problemy występujące w procesie estymacji dźwięków muzycznych. W celu zmniejszenia błędów oktawowych zaproponowano uwzględnienie w systemie predyktora neuronalnego. Opracowana przez Autorów metoda predykcji zdarzeń muzycznych wykorzystywana jest jako moduł wspomagający pracę systemu. Proponowane podejście pozwala...
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Prediction of coking dynamics for wet coal charge
PublicationA one-dimensional transient mathematical model describing thermal and flow phenomena during coal coking in an oven chamber was studied in the paper. It also accounts for heat conduction in the ceramic oven wall when assuming a constant temperature at the heating channel side. The model was solved numerically using partly implicit methods for gas flow and heat transfer problems. The histories of temperature, gas evolution and internal...
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On Bayesian Tracking and Prediction of Radar Cross Section
PublicationWe consider the problem of Bayesian tracking of radar cross section. The adopted observation model employs the gamma family, which covers all Swerling cases in a unified framework. State dynamics are modeled using a nonstationary autoregressive gamma process. The principal component of the proposed solution is a nontrivial gamma approximation, applied during the time update recursion. The superior performance of the proposed approach...
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A Stand for Measurement and Prediction of Scattering Properties of Diffusers
PublicationIn this paper we present a set of solutions which may be used for prototyping and simulation of acoustic scattering devices. A system proposed is capable of measuring sound field. Also a way to use an open source solution for simulation of scattering phenomena occurring in proximity of acoustic diffusers is shown. The result of our work are measurement procedure and a prototype of the simulation script based on FEniCS - an open source...
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Effects of Single and Repeated Footshock on Dopamine Release and Metabolism in the Brains of Fischer Rats
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Uptake, tissue distribution, and metabolism of malachite green in the channel catfish (Ictalurus punctatus)
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ClaR—a novel key regulator of cellobiose and lactose metabolism in Lactococcus lactis IL1403
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Dermal white adipose tissue development and metabolism: The role of transcription factor Foxn1
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Untargeted metabolomics coupled with genomics in the study of sucrose and xylose metabolism in Pectobacterium betavasculorum
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Metabolism of Tryptophan and Depressive Symptoms Six Months after Interferon- alfa Treatment
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Research Trends of Vitamin D Metabolism Gene Polymorphisms Based on a Bibliometric Investigation
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Erratum to: Activities of genes controlling sphingolipid metabolism in human fibroblasts treated with flavonoids
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The Phytoestrogen Genistein Modulates Lysosomal Metabolism and Transcription Factor EB (TFEB) Activation
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Cytochromes P-450: specyfic enzymes involved in metabolism of endogenous substances and xenobiotics
PublicationCytochromy P-450 to grupa enzymów hemoproteinowych występujących w prawie wszystkich organizmach żywych. Substratami tych enzymów są zarówno substancje endogenne jak i ksenobiotyki, włączając w to leki, dodatki do żywności oraz zanieczyszczenia środowiska. W pracy omówiono rolę polimorfizmu oraz indukcji P-450 w metabolizmie leków przeciwnowotworowych.
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublicationThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublicationControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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FFT analysis of temperature modulated semiconductor gas sensor response for the prediction of ammonia concentration under humidity interference
PublicationThe increasing environmental contamination forces the need to design reliable devices for detecting of the volatile compounds present in the air. For this purpose semiconductor gas sensors, which have been widely used for years, are often utilized. Although they have many advantages such as low price and quite long life time, they still lack of long term stability and selectivity. Namely, environmental conditions have significant...
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Fatigue life prediction of notched components under size effect using strain energy reformulated critical distance theory
PublicationNotch and size effects show significant impact on the fatigue performance of engineering components, which deserves special attention. In this work, a strain energy reformulated critical distance theory was developed for fatigue life prediction of notched components under size effect. Experimental data of different notched specimens manufactured from GH4169, TC4, TC11 alloys and low carbon steel En3B were used for model validation...
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The Distribution of Glucosinolates in Different Phenotypes of Lepidium peruvianum and Their Role as Acetyl- and Butyrylcholinesterase Inhibitors—In Silico and In Vitro Studies
PublicationThe aim of the study was to present the fingerprint of different Lepidium peruvianum tu- ber extracts showing glucosinolates-containing substances possibly playing an important role in preventinting dementia and other memory disorders. Different phenotypes of Lepidium peruvianum (Brassicaceae) tubers were analysed for their glucosinolate profile using a liquid chromatograph coupled with mass spectrometer (HPLC-ESI-QTOF-MS/MS platform)....