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Search results for: deep-level mining
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Labour share and income inequalities in the European Union, taking into account the level of development of economies
Publicationesearch background: The relationship between labour share and income inequality is a complex and multifaceted problem. Despite ongoing discussions among economists, there is still no consensus on the direction of the relationship between labour share and income ine-quality. Purpose of the article: The article aims to assess the impact of labour share on income inequal-ity, which is measured in three ways: the Gini index...
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Four level inverter's DC bus voltage balancing with 3-terminal DAB converter
Publication—Multilevel inverters become more and more popular, especially in the medium or high voltage and high power applications. Unfortunately, some of inverter topologies require additional DC bus voltage balancing systems. This paper presents a novel approach to such systems, which is based on a multiple terminal DAB converter. Along with the voltage balancing function the proposed solution enables the connection of energy storage devices...
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Development of thin film SPME sorbents based on deep eutectic solvents and their application for isolation and preconcentration of endocrine-disrupting compounds leaching from diapers to urine
PublicationIn this study, the thin film solid phase microextraction (TF-SPME) based on a novel sorbent composed of deep eutectic solvent (DES) is proposed. Among several synthesized sorbents the most efficient was DES containing trihexyl(tetradecyl)phosphonium chloride and docosanol mixed with polydimethylsiloxane (PDMS) in a molar ratio 1:3:0.25 to achieve a more stable structure. The proposed sorbent was applied on a fiberglass mesh and...
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Determinants and effects of Poland’s road accidents in the context of the 2030 agenda for sustainable development – poviat level analysis for the years 2010-2019
PublicationThe objective of the research was to assess how selected factors influence road safety in Poland’s poviats. To that end, an analysis was conducted of road accident determinants and effects in the poviats in the years 2010-2019. The time horizon fits in with Goal 3.6. of Agenda 2030, which is to halve the number of global deaths and injuries from road traffic accidents by 2020. The article pres-ents the analysis results for the...
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Sensitive method for determination of benzoic acid in beverages and food samples using air–assisted hydrophobic deep eutectic solvent-based dispersive liquid-liquid microextraction
PublicationA simple, reliable and rapid air–assisted hydrophobic deep eutectic solvent-based dispersive liquid–liquid microextraction (AA-HDES-DLLME) was developed for analysis of benzoic acid in various beverages and food samples. The final determination stage was performed via UV–visible spectrophotometry. The key parameters (extraction time, HDES type and volume, dispersant volume, pH and sample volume) of the AA-HDES-DLLME method were...
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Genome Mining and Evaluation of the Biocontrol Potential of Pseudomonas fluorescens BRZ63, a New Endophyte of Oilseed Rape (Brassica napus L.) against Fungal Pathogens
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The effect of deep pectoral myopathy on the properties of broiler chicken muscles characterised by selected instrumental techniques
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Methylation of estrogen receptor 2 (ESR2) in deep paravertebral muscles and its association with idiopathic scoliosis
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Deep learning based segmentation using full wavefield processing for delamination identification: A comparative study
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Prediction of NOx Emission Based on Data of LHD On-Board Monitoring System in a Deep Underground Mine
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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
PublicationShip imaging position plays an important role in visual navigation, and thus significant focuses have been paid to accurately extract ship imaging positions in maritime videos. Previous studies are mainly conducted in the horizontal ship detection manner from maritime image sequences. This can lead to unsatisfied ship detection performance due to that some background pixels maybe wrongly identified as ship contours. To address...
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublicationBrain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....
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Influence of the boron doping level on the electrochemical oxidation of raw landfill leachates: advanced pre-treatment prior to the biological nitrogen removal
PublicationThe electrochemical oxidative treatment of landfill leachates (LLs) containing high amounts of ammonia nitrogen and organic matter was used as a promising method, prior to biological processes, to achieve the final effluent quality that would be acceptable by current regulations. The deposited boron-doped diamond electrodes (BDDs) with different boron doping concentrations (10000, 5000 and 500 ppm of B) were applied as anodes....
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c-Myc Protein Level Affected by Unsymmetrical Bisacridines Influences Apoptosis and Senescence Induced in HCT116 Colorectal and H460 Lung Cancer Cells
PublicationUnsymmetrical bisacridines (UAs) are highly active antitumor compounds. They contain in their structure the drugs previously synthesized in our Department: C-1311 and C-1748. UAs exhibit different properties than their monomer components. They do not intercalate to dsDNA but stabilize the G-quadruplex structures, particularly those of the MYC and KRAS genes. Since MYC and KRAS are often mutated and constitutively expressed in cancer...
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Magnetic hydrophobic deep eutectic solvents for orbital shaker-assisted dispersive liquid-liquid microextraction (MAGDES-OS-DLLME) - determination of nickel and copper in food and water samples by FAAS
PublicationIn this work, a cheap and widely applicable dispersive liquid-liquid microextraction (DLLME) method was developed for the extraction of Ni(II) and Cu(II) from water and food samples and analysis using flame atomic absorption spectrometry. DLLME was assisted by orbital shaker, while ferrofluid as an extractant was based on deep eutectic solvent (DES). This ferrofluid was made of hydrophobic DES (hDES), composed of lauric acid and...
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The analysis of human leukocyte antigen‐G level in patients with endometrial cancer by Western blot technique
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Design of three-phase three-level CIC T-source inverter with maximum boost control
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Entrepreneurial environment at regional level: the case of Polish path towards sustainable socio-economic development
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The Level of FGF 21 as a New Risk Factor for the Occurrence of Cardiometabolic Disorders amongst the Psoriatic Patients
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Total Selenium Level and Its Distribution between Organs in Beef Cattle in Different Selenium Status
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The level of jasmonic acid in Arabidopsis thaliana and Phaseolus coccineus plants under heavy metal stress
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Performance of the CMS Level-1 trigger during commissioning with cosmic ray muons and LHC beams
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Establishing the background level of base oxidation in human lymphocyte DNA: results of an interlaboratory validation study
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Chronic Exposure to Fluoride Affects GSH Level and NOX4 Expression in Rat Model of This Element of Neurotoxicity
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Techniques of interference reduction in probe system for wafer level noise measurements of submicron semiconductor devices.
PublicationPrzedstawiono skrótowo system do ostrzowych pomiarów szumów struktur submikronowych. Znaczny wpływ na pomiary ostrzowe mają zakłócenia i szumy własne systemu, zwłaszcza zakłócenia o wysokim poziomie wpraowadzane przez ostrza (fluktuacje rezystancji styków ostrza do struktury powodowane przez wibracje i udary mechaniczne w środowisku pomiarowym)i środowisko elektromagnetyczne. Zakłócenia okresowe powodowane przez wibracje i pola...
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Industry-level analysis of COVID-19’s impact in emerging markets – evidence from Pakistan
PublicationPurpose – The main purpose of this study is to evaluate COVID-19’s impact on the emerging stock markets. Design/methodology/approach – To evaluate the influence of COVID-19, this study uses a novel method of event study methodology to measure the impact of COVID-19 on emerging stock markets. The research’s sample includes a total of 79 firms from 26 industries that are included in the KSE-100 Index from the Pakistan Stock Exchange....
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Reduced-Cost Two-Level Surrogate Antenna Modeling using Domain Confinement and Response Features
PublicationElectromagnetic (EM) simulation tools have become indispensable in the design of contemporary antennas. Still, the major setback of EM-driven design is the associated computational overhead. This is because a single full-wave simulation may take from dozens of seconds up to several hours, thus, the cost of solving design tasks that involve multiple EM analyses may turn unmanageable. This is where faster system representations (surrogates)...
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Thermostable Pyrococcus woesei beta-D-galactosidase - high level expression, purification and biochemical properties
PublicationGen kodujący termostabilną beta-D-galaktozydazę Pyrococcus woesei zamplifikowano z zastosowaniem techniki PCR i klonowano w komórkach Escherichia coli. Skonstruowany system ekspresji genu pozwolił na uzyskanie znacznej ilości termostabilnego białka w komórkach mezofilnego gospodarza. Enzym oczyszczono z zastosowaniem chromatografii powinowactwa po wcześniejszej denaturacji termicznej białek Escherichia coli i scharakteryzowano...
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Reduction of vibration level by the spindle speed optimisation during ball end milling of flexible details
PublicationPraca dotyczy nadzorowania drgań podczas skrawania przedmiotów podatnych frezem kulistym. Przedsatwiono wspomaganą komputerowo procedurę nadzorowania z optymalizacją prędkości obrotowej narzędzia. Przy modelowaniu wykorzystano niestacjonarny model obliczeniowy. Rezultatem modelowania jest układ hybrydowy, w którym oddzielono podukłady: modalny, łączący i strukturalny. Metoda wymaga identyfikacji częstości własnych co może być wykonane...
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Multifactor consciousness level assessment of participants with acquired brain injuries employing human–computer interfaces
PublicationBackground A lack of communication with people suffering from acquired brain injuries may lead to drawing erroneous conclusions regarding the diagnosis or therapy of patients. Information technology and neuroscience make it possible to enhance the diagnostic and rehabilitation process of patients with traumatic brain injury or post-hypoxia. In this paper, we present a new method for evaluation possibility of communication and the...
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Factors determining accumulation of bisphenol A and alkylphenols at a low trophic level as exemplified by mussels Mytilus trossulus
PublicationThe aim of the study was to investigate abiotic and biotic factors influencing the accumulation of endocrine disrupting compounds (EDCs) such as bisphenol A (BPA), 4-tert-octylphenol (OP) and 4- nonylphenol (NP) in mussels Mytilus trossulus from the Gulf of Gdansk (Southern Baltic). The key abiotic factor influencing BPA, OP and NP accumulation in mussels is their hydrophilicity/lipophilicity, which affects their main assimilation...
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Experimental and numerical investigations of concrete behaviour at meso-level during quasi-static splitting tension.
PublicationArtykuł omawia wyniki numeryczne dotyczące pękania betonu uzyskane stosując metodę elementów dyskretnych. Dwuwymiarowe obliczenia wykonano dla próbek betonowych podczas rozłupywania. Beton został opisany jako model 4-fazowy. Mikrostruktura betonu odpowiadała zdjęciom tomograficznym. Zbadano wpływ warunków brzegowych na proces pękania. W obliczeniach zwrócono uwagę na porzebieg zjawisk mikrostrukturalnych przebieg pękania. Wyniki...
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Synergistic effects of biochar and processed fly ash on bioavailability, transformation and accumulation of heavy metals by maize (Zea mays L.) in coal-mining contaminated soil
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Physical modeling in sands in a wide range of stress level: Application to the calibration of CPTU i DMT tests.
PublicationPraca dotyczy badań modelowych w gruntach niespoistych ze szczególnym uwzględnieniem wpływu wysokiego poziomu naprężenia na zachowanie się podłoża gruntowego. Praca składa się z siedmiu rozdziałów. W pierwszym z nich opisano zachowanie się piasku w szerokim zakresie naprężeń z uwzględnieniem ściśliwości, kruszenia się ziaren, nieliniowości obwiedni zniszczenia oraz nieliniowości modułu odkształcenia związanych z poziomem naprężenia...
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Mining Science
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Geochemical Changes in Aquatic Environment Caused by Deep Dredging - A Case Study: The Puck Bay (Baltic Sea)
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Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
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Abdominoplasty Skin-Based Dressing for Deep Wound Treatment—Evaluation of Different Methods of Preparation on Therapeutic Potential
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Microbial Diversity in Deep-Subsurface Hot Brines of Northwest Poland: from Community Structure to Isolate Characteristics
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Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends
PublicationSemantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...
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Towards the 4th industrial revolution: networks, virtuality, experience based collective computational intelligence, and deep learning
PublicationQuo vadis, Intelligent Enterprise? Where are you going? The authors of this paper aim at providing some answers to this fascinating question addressing emerging challenges related to the concept of semantically enhanced knowledge-based cyber-physical systems – the fourth industrial revolution named Industry 4.0.
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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data
PublicationWhether the computer is driving your car or you are, advanced driver assistance systems (ADAS) come into play on all levels, from weather monitoring to safety. These modern-day ADASs use various assisting tools for drivers to keep the journey safe; these sophisticated tools provide early signals of numerous events, such as road conditions, emerging traffic scenarios, and weather warnings. Many urban applications, such as car-sharing...
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The level of Knowledge and use of tax exemptions for R&D activities
Open Research DataThe following research data contains the answers of 259 entrepreneurs to questions regarding tax reliefs and exemptions for research and development activities. As part of the study answers to the following questions were obtained:Have you ever used the tax relief for new technologies / R&D?Has your company acquired a license / software (intangible...
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Iwona Nowakowska dr
PeopleAssistant Professor at The Maria Grzegorzewska University Institute of Psychology. Graduate of Psychology (University of Warsaw, 2019), and PhD in this field (Maria Grzegorzewska University, 2022). Conducted research in the fields of: social and clinical psychology and individual differences. Her current research activity concentrates on prosociality (volunteering, philanthropy, socially responsible behaviors) and their correlates. She...
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Indeksy demokracji i stan zaawansowania ich rozwoju dla pomiaru jakości demokracji na poziomie lokalnym - Democracy indices and current state of their advancement for measuring quality of democracy at a local level
PublicationJak mierzyć demokrację? Jak ocenić, czy jeden ustrój demokratyczny jest bardziej de-mokratyczny od innego i na jakiej podstawie to stwierdzić? Pomiary jakości demokracji na poziomie państw istnieją już od 1946 roku, a na ich podstawie powstawały indeksy demokracji jak np. Freedom House, Polity IV, czy też Varieties of Democracy. Poza poziomem państw jest zdecydowanie mniej narzędzi tego typu, a istniejące – jak np. Local Autonomy...
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Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
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Applied Earth Science-Transactions of the Institutions of Mining and Metallurgy
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Evaluation of potentially toxic elements’ (PTEs) vertical distribution in sediments of Gafsa–Metlaoui mining basin (Southwestern Tunisia) using geochemical and multivariate statistical analysis approaches
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Coupled Urban Areas Inundation Model with Interaction Between Storm Water System and Surface Flow - Case Study of Sea Level Impact on Seaside Areas Flooding
PublicationInundations are becoming more frequent than ever. What is connected with increasing area of impervious surface in cities. This makes predicting urban flooding and its scale especially important. At the seaside we observe additional conditions such as sea level that makes accurate numerical modelling of issue even harder. With complex approach to the matter which is simultaneous calculation of storm water conduit flow and overland...
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Experiments and Numerical Simulations of the Annealing Temperature Influence on the Residual Stresses Level in S700MC Steel Welded Elements
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