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Wyniki wyszukiwania dla: BIOSURFACTANT PRODUCTION
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General concept of reduction process for big data obtained by interferometric methods
PublikacjaInterferometric sonar systems apply the phase content of the sonar signal to measure the angle of a wave front returned from the seafloor or from a target. It collect a big data – datasets that are so large or complex that traditional data processing application software is inadequate to deal with them. The recording a large number of data is associated with the difficulty of their efficient use. So data have to be reduced. The main...
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Reduction of road traffic noise by source measures — present and future strategies
PublikacjaThe current trend worldwide is less focused on reducing road traffic noise. This is in strong contrast to the severe impact of traffic noise to the general health and quality of life. A more holistic and combined strategy is needed. Current international rules and regulations regarding vehicles and tyres are not sufficient to reduce traffic noise levels in an effective way. Calculations show that these regulations will only yield...
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Efficient analysis of structures with rotatable elements using model order reduction
PublikacjaThis paper presents a novel full-wave technique which allows for a fast 3D finite element analysis of waveguide structures containing rotatable tuning elements of arbitrary shapes. Rotation of these elements changes the resonant frequencies of the structure, which can be used in the tuning process to obtain the S-characteristics desired for the device. For fast commutations of the response as the tuning elements are rotated, the...
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Reduction in Errors in Roughness Evaluation with an Accurate Definition of the S-L Surface
PublikacjaCharacterization of surface topography, roughly divided into measurement and data analysis, can be valuable in the process of validation of the tribological performance of machined parts. Surface topography, especially the roughness, can respond straightly to the machining process and, in some cases, is defined as a fingerprint of the manufacturing. When considering the high precision of surface topography studies, the definition...
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Low-Cost Behavioral Modeling of Antennas by Dimensionality Reduction and Domain Confinement
PublikacjaBehavioral modeling has been rising in importance in modern antenna design. It is primarily employed to diminish the computational cost of procedures involving massive full-wave electromagnetic (EM) simulations. Cheaper alternative offer surrogate models, yet, setting up data-driven surrogates is impeded by, among others, the curse of dimensionality. This article introduces a novel approach to reduced-cost surrogate modeling of...
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Exploring educational traditions and experiences of block residents engaging in urban food self-production: a case study of Urban Living Lab
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The Influence of Nasturtium officinale R. Br. Agar and Agitated Microshoot Culture Media on Glucosinolate and Phenolic Acid Production, and Antioxidant Activity
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Towards more (un)balanced trade. Production linkages between China and the Visegrad countries: country-level and sector-level analysis
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Yeast Extract Stimulates Ginsenoside Production in Hairy Root Cultures of American Ginseng Cultivated in Shake Flasks and Nutrient Sprinkle Bioreactors
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Mass production of hierarchically porous carbon nanosheets by carbonizing “real-world” mixed waste plastics toward excellent-performance supercapacitors
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An integrated approach to optimization of fermentation conditions for bioethanol production from local leftover Injera waste using central composite design
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Decreased integrity of exercise-induced plasma cell free nuclear DNA – negative association with the increased oxidants production by circulating phagocytes
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Decreased integrity of exercise-induced plasma cell free nuclear DNA – negative association with the increased oxidants production by circulating phagocytes
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Atmospheric Pressure Glow Discharges Generated in Contact with Flowing Liquid Cathode: Production of Active Species and Application in Wastewater Purification Processes
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Production of gold nanoparticles using atmospheric pressure glow microdischarge generated in contact with a flowing liquid cathode – a design of experiments study
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The influence of stabilizers on the production of gold nanoparticles by direct current atmospheric pressure glow microdischarge generated in contact with liquid flowing cathode
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An analysis of the possibilities of increasing the production of electrical energy during the summer season by heat-generation back pressure turbine power units.
PublikacjaZbadano możliwości podniesienia mocy elektrycznej produkowanej przez przeciwprężne bloki ciepłownicze w sezonie letnim. Zbadano jedną z możliwości polegającą na dochładzaniu wody sieciowej powracającej z aglomeracji miejskiej. Zwrócono uwagę na aspekty techniczne, ekonomiczne i ekologiczne rozważanego rozwiązania.
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The production and properties of the secondary metabolites in selected car-nivorous plants = Produkcja i właściwości metabolitów wtórnych wybranych roślin owadożernych
PublikacjaPięć gatunków roślin owadożernych (Drosera aliciae, D. capensis, D. ramenta-cea, D. rotundifolia oraz Sarracenia psittacina ) zostało zbadanych pod ką-tem produkcji i właściwości metabolitów wtórnych między innymi flawonoidów inaftochinonów. W tym celu rośliny poddano elicytacji in vitro przy użyciuelicytorów abiotycznych - TYTANIT, kwas jasmonowy, BION oraz biotycznych -chityna i Enterobacter sakazaki. Badane związki ekstrahowano...
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Nanoparticle-assisted biohydrogen production from pretreated food industry wastewater sludge: Microbial community shifts in batch and continuous processes
PublikacjaBiohydrogen production from industrial waste has gained a significant attention as a sustainable energy source. In this study, the enrichment of biohydrogen production from pretreated dissolved air flotation (DAF) sludge, generated from food industry wastewater treatment plants, was investigated using SiO2@Cu-Ag dendrites cor- e–shell nanostructure (NS). The effect of NS on the changes of the microbial community and biohydrogen...
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Study on extraction and characterization of anchote (Coccinia abyssinica) starch and reinforced enset (Ensete ventricosum) fiber for the production of reinforced bioplastic film
PublikacjaPopulation expansion is causing an increase in dependence on plastic materials. The worst aspects of conventional plastics were their inability to biodegrade, their poor capacity to transmit water vapor, and their production of greenhouse gases. Usages of bioplastics are necessary for the advancement of a green economy and environment in order to eradicate these drawbacks of traditional plastics. In this study, reinforced bioplastic...
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Cathodic activation of synthesized highly defective monoclinic hydroxyl‐functionalized ZrO2 nanoparticles for efficient electrochemical production of hydrogen in alkaline media
PublikacjaThe high electrochemical stability of Zirconia (ZrO2) at high potentials strongly suggested it as an alternative to carbon supports, which experience reduced efficiency due to some corrosion problems particularly during prolonged electrocatalysis activity. However, the use of ZrO2 was limited by its low electrical conductivity and surface area. In this work, we developed a methodology for synthesizing monoclinic ZrO2 NPs with increased...
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Soft X-ray Induced Production of Neutral Fragments in High-Rydberg States at the O 1s Ionization Threshold of the Water Molecule
PublikacjaDissociation of water molecules after soft X-ray absorption can yield neutral fragments in high-Rydberg (HR) states. We have studied the production of such fragments by field ionization and ion time-of-flight (TOF) spectrometry. Neutral HR fragments are created at all resonances below the O 1s ionization potential (IP) and particularly within 1 eV above the O 1s IP. The latter effect is due to the recapture of the O 1s photoelectrons...
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Cathodic Activation of Titania-Fly Ash Cenospheres for Efficient Electrochemical Hydrogen Production: A Proposed Solution to Treat Fly Ash Waste
PublikacjaFly ash (FA) is a waste product generated in huge amounts by coal-fired electric and steam-generating plants. As a result, the use of FA alone or in conjunction with other materials is an intriguing study topic worth exploring. Herein, we used FA waste in conjunction with titanium oxide (TiO2) to create (FA-TiO2) nanocomposites. For the first time, a cathodic polarization pre-treatment regime was applied to such nanocomposites...
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Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs
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The Round Robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
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Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
PublikacjaThe aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models as a valuable alternative to the current guidelines in predicting cardiac resynchronization therapy (CRT) response and phenotyping of patients eligible for CRT implantation. This systematic review was performed...
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Evaluation of the effect of ruthenium oxide on the properties of composite electrodes used in cathodic protection
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Electrochemical investigations of conductive coatings applied as anodes in cathodic protection of reinforced concrete
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Green Tea Protection Against Age-Dependent Ethanol-Induced Oxidative Stress
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Self-Concept Clarity and Religious Orientations: Prediction of Purpose in Life and Self-Esteem
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Argon plasma-modified bacterial cellulose filters for protection against respiratory pathogens
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Legislative and criminal law aspects of water protection and prevention of pharmaceuticals accumulation in nature
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Prediction of Protein Structure by Template-Based Modeling Combined with the UNRES Force Field
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Recent improvements in prediction of protein structure by global optimization of a potential energy function
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Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction
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Lung Protection by Cathepsin C Inhibition: A New Hope for COVID-19 and ARDS?
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Coastal zone critical infrastructure protection using dedicated geographical information system
PublikacjaW pracy przeanalizowano kilka infrastruktur krytycznych dla Trojmiasta z wykorzystaniem CARVER2. Wyniki zostale poddane analizie z wykorzystaniem systemu GIS.
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Hybrid Numerical-Analytical Approach for Force Prediction in End Milling of 42CrMo4 Steel
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The Influence of Input Data Standardization Method on Prediction Accuracy of Artificial Neural Networks
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Time Projection Chamber (TPC) detectors for nuclear astrophysics studies with gamma beams
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Risk factors assessment and risk prediction models in lung cancer screening candidates
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Methods for physical impairment constrained routing with selected protection in all-optical networks
PublikacjaIn this paper, we investigate the problem of survivable all-optical routing in WDM networks with physical impairments. One of the recent key issues in survivable optical network design refers to maximization of the ratio of routeable demands while keeping the overall network cost low. In WDM networks, this goal can be achieved by routing as many demands in all-optical way as possible. Based on the latest technical trends driven...
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Empirical verification in industrial conditions of fracture mechanics models of cutting power prediction
PublikacjaA comparison of experimental results obtained in the industrial conditions at a sawmill located in the Baltic Natural Forest Region (PL) and theoretical cutting power consumption forecasted with the models which include work of separation (fracture toughness) in addition to plasticity and friction has been described. In computations of cutting power consumption during rip sawing of Scots pine wood (Pinus sylvestris L.) values of...
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Prediction of flow boiling heat transfer data for R134a, R600a and R290 in minichannels
PublikacjaIn the paper presented is the analysis of the results of calculations using a model to predict flow boiling of refrigerants such as R134a, R600a and R290. The latter two fluids were not used in development of model semiempirical correction. For that reason the model was verified with present experimental data. The experimental research was conducted for a full range of quality variation and a relatively wide range of mass velocity....
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Protection against electric shock in electrical installations with low voltage generating sets
PublikacjaW referacie przedstawiono zasady ochrony przeciwporażeniowej, zgodne z wymaganiami międzynarodowymi, w sytuacji kiedy instalacja elektryczna jest zasilana z niskonapięciowych zespołów prądotwórczych. Zwrócono uwagę na dobór zabezpieczeń przeciwporażeniowych oraz na wymiarowanie uziemień.
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Autocovariance based weighting strategy for time series prediction with weighted LS-SVM
PublikacjaPrzedstawiono metodę konstrukcji algorytmów z funkcją jądra, a także dwa algorytmy uzyskane poprzez użycie różnych funkcji straty. Zaproponowano kowariacyjną strategię ważenia algorytmów z kwadratową funkcją straty do problemu predykcji chaotycznych przebiegów czasowych.
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Electrochemical investigations of conductive coatings applied as anodes in cathodic protection of reinforced concrete.
PublikacjaW pracy przedstawiono rezultaty badań elektrochemicznych polimerów przewodzących z pigmentem grafitowym. Wyznaczono parametry elektrochemiczne badanych powłok w trakcie długotrwałej polaryzacji zbrojonego betonu. W oparciu o pomiary impedancyjne wyznaczono parametry elektrochemiczne powłok przewodzących. Wykazano, że badane powłoki mogą być stosowane w ochronie katodowej żelbetu. Badania wykazały, że optymalne stężenie grafitu...
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METHOD FOR SHIP'S ROLLING PERIOD PREDICTION WITH REGARD TO NON-LINEARITY OF GZ CURVE
PublikacjaThe paper deals with the problem of prediction of the rolling period. A special emphasis is put on the practical application of the new method for rolling period prediction with regard to non-linearity of the GZ curve. The one degree-of-freedom rolling equation is applied with using the non-linear stiffness moment and linear damping moment formulas. A number of ships are considered to research the discrepancies between the pending...
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Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
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Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublikacjaThe 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...