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Search results for: MARINE FENDER
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Decision Making: Applications in Management and Engineering
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INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
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Wet H2S corrosion and degradation of pipeline in amine regeneration system
PublicationThe paper presents the results of NDT examinations, metallographic tests and risk assessment of degradation related to corrosion of amine regeneration unit in a desulphurisation system. Intensive corrosion resulting from acid gases environment upon water condensation causes perforation of the pipeline. Detailed analysis reveals cracking related to the mechanism of wet H2S. Hydrogen penetration, resulting from the wet H2S process,...
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Marinating and Salting of Herring, Nitrogen Compounds’ Changes in Flesh and Brine
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Estimation of microbiological contamination of maize seeds using isothermal calorimetry
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Comparison of Pteridine Normalization Methods in Urine for Detection of Bladder Cancer
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The template synthesis and complexation properties of the methoxypyrogal-lo[4]arene
PublicationZaprezentowano metodę syntezy templatowej MPA. Obserwowano kompleksowanie silnych akceptorów elektronów przez MPA. Analiza widm ESI-MS wykazała właściwości kompleksujące w stosunku do kationów metali alkalicznych. Właściwości jonoforowe związku badano w membranowych elektrodach jonoselektywnych.
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Urine composition as a source of information about occupational exposure to chemicals
PublicationIn the article there is presented review of data concerning application of human urine samples to analytical studies conducted in order to gain information on occupational exposure. The parameters characterizing the most commonly used techniques of xenobiotics isolation and preconcentration (organic compounds and metals) from urine samples and techniques of analytes determination in properly prepared extract samples of human urine.
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Halogen bonded polypseudorotaxanes based on a pillar[5]arene host
PublicationTwo crystalline supramolecular polypseudorotaxanes were obtained by combining permethylated pillar[5]arene as a macrocyclic wheel with 1,4-bis(1-imidazolyl)butane and 1,4-bis(iodoethynyl)benzene or 1,4-diiodo-1,3-butadiyne linked by C–I⋯N halogen bonds and creating a polyrotaxane axis. The resulting highly ordered supramolecular arrays were characterized by X-ray crystallography.
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Calix[4]arene phosphonates - recognition of amino alcohols in water.
PublicationOpracowano syntezę nowych rozpuszczalnych w wodzie pochodnych kaliks[4]arenów posiadających grupy fosfonowe w górnej części pierścieni aromatycznych. Zaprezentowano wyniki kompleksowania tych gospodarzy aminoalkoholi takich jak efedryna, norefedryna i noradrenalina.
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Volatile organohalogen compounds in human urine: the effect of environmental exposure
PublicationW pracy przedstawiono wyniki oznaczania lotnych związków chlorowcoorganicznych w próbkach moczu pochodzących m.in. od dawcow narazonych na kancerogeny w miejscu pracy i dawcow spozywajacych wode poddana procesowi uzdatniania przez chlorowanie. Do izolacji i wzbogacania analitów z moczu, posiadającego skomplikowaną matrycę, wykorzystano technikę analizy fazy nadpowierzchniowej nad cienką warstwą cieczy z samoczynną generacją ciekłego...
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Local Government as an Actor in Collaborative Governance – Partner or Leader?
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Free Vibrations of Sustainable Laminated Veneer Lumber Slabs
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Conversion of Potato Industry Waste into Fodder Yeast Biomass
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Challenges associated with bariatric surgery – a multi-center report
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Starch as a Green Binder for the Formulation of Conducting Glue in Supercapacitors
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Determination of binder-aggregate adhesion by contact angle measurement
PublicationThe key factor in asphalt pavement durability, especially in the presence of water, is adhesion of the bituminous binder to mineral aggregates. There are currently no standard laboratory test procedures that can quickly and accurately measure the strength of the interaction (bond) between the binder and aggregate. In this regard, to evaluate the adhesion force measurements based on the contact angle between the binder and the aggregate...
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Leader election for anonymous asynchronous agents in arbitrary networks
PublicationWe consider the problem of leader election among mobile agents operating in an arbitrary network modeled as an undirected graph. Nodes of the network are unlabeled and all agents are identical. Hence the only way to elect a leader among agents is by exploiting asymmetries in their initial positions in the graph. Agents do not know the graph or their positions in it, hence they must gain this knowledge by navigating in the graph...
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Heinrich Rickert als Danziger, Deutscher und Denker
PublicationDie zalreichen deutschen Denker auf dem Gebiet heutigen Polens, wie Heinrich Rickert aus Danzig bilden der Geschichte, die Tradizion der Platze, eine Geschichte mit der man sich auseinandersetzen sollte. Diese Beitrag zeigt wie sich die polnischen Geschichte Philosophen bemuhen, die Auffassungen ausgewahlter deutscher Denker, nach Beispiel Rickerts,und das Verstandnis ihrer Ansichten im Bezug zu deren Weltanschaungen und...
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A surveillance of dynamic state of the slender end milling process.
PublicationPraca poświącona jest nadzorowaniu drgań wirujących narzędzi w nowoczesnych frezarkach. Polega ono na zastosowaniu sterowania programowego w układach niestacjonarnych. Podejście dotyczy zamkniętego układu obrabiarki, w przypadku którego istotną rolę odgrywają drgania samowzbudne typu chatter. Stąd, sygnałem sterującym jest chwilowa zmiana prędkości obrotowej wrzeciona. Przedmiotem rozważań jest proces frezowania czołowego smukłym...
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On iterates of strong Feller operators on ordered phase spaces.
PublicationPraca dotyczy asymptotycznych własności iteracji operatorów Markowa. Udowodniono, że operatory Lasoty i ich wielowymiarowe uogólnienia są asymptotycznie stabilne. Wyniki mają zastosowanie w modelowaniu rozwoju komórki.
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Journal of Maize Research and Development
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Arch bridges under test loadings
PublicationThis paper illustrates experience in arch bridges test loadings of the research team of Department of Structural Mechanics and Bridge Structures from the Gdansk University of Technology. The presented calculations results constist the analysis of spatial construction schemes made using the finite elements method (FEM) and its comparison to the field studies. Arch bridges with the longest spans, visualisation of the computational...
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Synthesis of amides under microwave irradiation
PublicationAmides belong to the most important carboxylic acid derivatives. They are constituents of natural compounds like peptides and proteins. They found applications in many branches of science and industry, especially in pharmaceutical and polymer science. Conventional procedures for amide preparation involve reaction between amine and carboxylic acid or their more active derivatives such as acid chlorides, acid anhydrides or esters....
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Convergence to equilibrium under a random Hamiltonian
PublicationWe analyze equilibration times of subsystems of a larger system under a random total Hamiltonian, in which the basis of the Hamiltonian is drawn from the Haar measure. We obtain that the time of equilibration is of the order of the inverse of the arithmetic average of the Bohr frequencies. To compute the average over a random basis, we compute the inverse of a matrix of overlaps of operators which permute four systems. We first...
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Taguchi sensors under temperature modulation
PublicationSemiconductor gas sensors are widely used in gas- analyzing applications for various gas species determination due to their low cost and possibility to detect number of different gases. However, one of the main problems with such sensors is their lack of selectivity. To overcome this issue different ap- proaches can be used. One of them is the operation with sensor temperature modulation combined with dedicated data process- ing...
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Behaviour of steel columns under impact
PublicationOne of import issues related to the idea of sustainable society is the safety of civil engineering structures. The safety and reliability of steel structures under impact loading is among a number of different aims during the design state. The aim of this paper is to present the results of investigation focused on dynamic behaviour of steel columns under impact loading. Modal and transient dynamic analyses using Finite Element...
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Molecularly targeted nanoparticles: an emerging tool for evaluation of expression of the receptor for advanced glycation end products in a murine model of peripheral artery disease
PublicationAbstract Background: Molecular imaging with molecularly targeted probes is a powerful tool for studying the spatio-temporal interactions between complex biological processes. The pivotal role of the receptor for advanced glycation end products (RAGE) in numerous pathological processes, aroused the demand for RAGE targeted imaging in various diseases. In the study, we evaluated the use of a diagnostic imaging agent for RAGE quantification...
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A Simulation Model for Risk and Pricing Competition in the Retail Lending Market
PublicationWe propose a simulation model of the retail lending market with two types of agents: borrowers searching for low interest rates and lenders competing through risk-based pricing. We show that individual banks observe adverse selection, even if every lender applies the same pricing strategy and a credit scoring model of comparable discrimination power. Additionally, the model justifies the reverse-S shape of the response rate curve....
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Lower-rim-substituted tert-butylcalix[4]arenes. Part IX: one-pot synthesis of calix[4]arene-hydroxamates and calix[4]arene-amides
PublicationZaprezentowano prostą metodę selektywnej acylacji podstawionych i niepodstawionych hydroksyloamin za pomocą di i tetra podstawionych kaliks{4]aren-kwasów. Pokazano pierwszą strukturę krystalograficzną kaliks-hydroksyamidu.
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Justyna Zander dr inż.
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Fast Machine-Learning-Enabled Size Reduction of Microwave Components Using Response Features
PublicationAchieving compact size has emerged as a key consideration in modern microwave design. While structural miniaturization can be accomplished through judicious circuit architecture selection, precise parameter tuning is equally vital to minimize physical dimensions while meeting stringent performance requirements for electrical characteristics. Due to the intricate nature of compact structures, global optimization is recommended,...
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Analyzing the relationship between sound, color, and emotion based on subjective and machine-learning approaches
PublicationThe aim of the research is to analyze the relationship between sound, color, and emotion. For this purpose, a survey application was prepared, enabling the assignment of a color to a given speaker’s/singer’s voice recordings. Subjective tests were then conducted, enabling the respondents to assign colors to voice/singing samples. In addition, a database of voice/singing recordings of people speaking in a natural way and with expressed...
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A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
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Regarding the “Review of surgical techniques and guide for decision making in the treatment of benign parotid tumors”
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Local advisory councils in deliberative decision-making. Findings from research in Polish cities
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Ammine(2-ethylpyridine-κN)bis(tri-tert-butoxysilanethiolato-κS)cobalt(II)
PublicationTytułowy związek [Co(C12H27O3SSi)2(C7H9N)(NH3)] został otrzymany w reakcji dimerycznego amoniakalnego tri-tert-butoksysilanotiolanu kobaltu(II) z 2-etylopirydyną. Atom kobaltu w otrzymanym związku jest koordynowany przez dwa atomy siarki, jedną resztę 2-etylopirydyny i jedną cząsteczkę amoniaku. Dzięki specyficznemu przestrzennemu ustawieniu ligandów, dodatkowo tworzy się wiązanie wodorowe wewnątrz cząsteczkowe N-H - S
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A FPTAS for minimizing total completion time in a single machine time-dependent scheduling problem
PublicationIn this paper a single machine time-dependent scheduling problem with total completion time criterion is considered. There are given n jobs J1,…,Jn and the processing time pi of the ith job is given by pi=a+bisi, where si is the starting time of the ith job (i=1,…,n),bi is its deterioration rate and a is the common base processing time. If all jobs have deterioration rates different and not smaller than a certain constant u>0,...
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Machine Learning for Control Systems Security of Industrial Robots: a Post-covid-19 Overview
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Likelihood of Transformation to Green Infrastructure Using Ensemble Machine Learning Techniques in Jinan, China
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Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines
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Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases
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Martini 3 Model of Cellulose Microfibrils: On the Route to Capture Large Conformational Changes of Polysaccharides
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Road traffic can be predicted by machine learning equally effectively as by complex microscopic model
PublicationSince high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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COVID-19 severity forecast based on machine learning and complete blood count data
PublicationProper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
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A framework estimating the minimum sample size and margin of error for maritime quantitative risk analysis
PublicationThe average accident frequency is essential for quantitative risk analysis and is conventionally estimated from accident statistics. This paper has systematically synthesised the knowledge on statistical errors and offered the missing instructions, a framework, for determining the minimum sample size and the margin of error (MOE) when calculating the average accident frequency from an accident database at hand. We have applied...
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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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Design specification management with automated decision-making for reliable optimization of miniaturized microwave components
PublicationThe employment of numerical optimization techniques for parameter tuning of microwave components has nowadays become a commonplace. In pursuit of reliability, it is most often carried out at the level of full-wave electromagnetic (EM) simulation models, incurring considerable computational expenses. In the case of miniaturized microstrip circuits, densely arranged layouts with strong cross-coupling effects make EM-driven tuning...