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Wyniki wyszukiwania dla: Deep soil mixing
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Role of biochar-based free radicals in immobilization and speciation of metals in the contaminated soil-plant environment
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Enthralling the impact of engineered nanoparticles on soil microbiome: A concentric approach towards environmental risks and cogitation
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In-situ oxidative degradation of sulfamethoxazole by calcium peroxide/persulfate dual oxidant system in water and soil
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Enzymatic assays confirm the toxicity reduction after manure treatment of heavy metals contaminated soil
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The influence of street conditions on sea buckthorn fruit quality and content of micro- and macronutrients in berries and in soil
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Combined chemical-biological treatment of effluents from soil remediation processes by surfactants solutions flushing
PublikacjaŚcieki powstające podczas procesu remediacji gruntu zawierają surfaktanty o wysokim stężeniu oraz oleje w postaci zemulgowanej i zsolubilizowanej lub wolnej. Do oczyszczenia takich ścieków zastosowano chemiczne utlenianie, biologiczne oczyszczanie oraz zintegrowany proces chemiczno biologiczny. Efektywność procesu oceniono na podstawie redukcji ChZT oraz zmiany stężenia surfaktantu w oczyszczanych ściekach. Chemiczne utlenienie...
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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
PublikacjaIn 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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Investigation of vortex assisted magnetic deep eutectic solvent based dispersive liquid–liquid microextraction for separation and determination of vanadium from water and food matrices: Multivariate analysis
PublikacjaA new and simple vortex assisted magnetic deep eutectic solvent dispersive liquid–liquid microextraction procedure (VA-MDES-DLLME) was developed for the determination of vanadium (V) in food and water samples by flame atomic absorption spectrometry (FAAS). In the extraction medium, a bis(acetylpivalylmethane) ethylenediimine (H2APM2en) was used for the complexation of V(V) in sample solution at pH 6. The VA-MDES-DLLME was optimized...
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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
PublikacjaA 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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Orientation-aware ship detection via a rotation feature decoupling supported deep learning approach
PublikacjaShip 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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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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The effect of deep pectoral myopathy on the properties of broiler chicken muscles characterised by selected instrumental techniques
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Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition
PublikacjaBrain–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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Effect of Natural Aging of Biochar on Soil Enzymatic Activity and Physicochemical Properties in Long-Term Field Experiment
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Preliminary Results of Effect of Rotational Grazing of Farmed Red Deer (Cervus elaphus) on the Biochemical Status of Soil
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THE ECONOMIC EFFICIENCY OF GROWING SWEET POTATO (IPOMOEA BATATAS L. [LAM.]) IN POLISH SOIL AND CLIMATE CONDITIONS
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Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools
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Investigating the potential influence of biochar and traditional organic amendments on the bioavailability and transfer of Cd in the soil–plant system
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Occurrence, contamination evaluation and health risks of trace metals within soil, sediments and tailings in southern Tunisia
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Possibility of New Active Substrates (ASs) to Be Used to Prevent the Migration of Heavy Metals to the Soil and Water Environments
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Soil pH effects on the comparative toxicity of dissolved zinc, non-nano and nano ZnO to the earthwormEisenia fetida
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Effect of Nitrogen Fertilization in the Sour Cherry Orchard on Soil Enzymatic Activities, Microbial Population, and Fruit Quality
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The feasibility of growing highbush blueberry (V. corymbosum L.) on loamy calcic soil with the use of organic substrates
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Significance of cement-stabilised soil grain size distribution in determining the relationship between strength and resilient modulus
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A study on the interaction of rhodamine B with methylthioadenosine phosphorylase protein sourced from an Antarctic soil metagenomic library.
PublikacjaThe presented study examines the phenomenon of the fluorescence under UV light excitation (312 nm) of E. coli cells expressing a novel metagenomic-derived putative methylthioadenosine phosphorylase gene, called rsfp, grown on LB agar supplemented with a fluorescent dye rhodamine B. For this purpose, an rsfp gene was cloned and expressed in an LMG194 E. coli strain using an arabinose promoter. The resulting RSFP protein was purified...
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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
PublikacjaIn 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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Towards the 4th industrial revolution: networks, virtuality, experience based collective computational intelligence, and deep learning
PublikacjaQuo 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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Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends
PublikacjaSemantic-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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A Novel Spatio–Temporal Deep Learning Vehicle Turns Detection Scheme Using GPS-Only Data
PublikacjaWhether 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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Geochemical Changes in Aquatic Environment Caused by Deep Dredging - A Case Study: The Puck Bay (Baltic Sea)
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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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Experimental investigations and prediction of WEDMed surface of nitinol SMA using SinGAN and DenseNet deep learning model
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Employing Subjective Tests and Deep Learning for Discovering the Relationship between Personality Types and Preferred Music Genres
PublikacjaThe purpose of this research is two-fold: (a) to explore the relationship between the listeners’ personality trait, i.e., extraverts and introverts and their preferred music genres, and (b) to predict the personality trait of potential listeners on the basis of a musical excerpt by employing several classification algorithms. We assume that this may help match songs according to the listener’s personality in social music networks....
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Solid phase extraction clean up of soil and sediment extracts for the determination of various types of pollutants in a single run.
PublikacjaOpisano nową procedurę oczyszczania ekstraktów rozpuszczalnikowych (uzyskanych w trakcie obróbki próbek gleby i osadów dennych) z wykorzystaniem techniki ekstrakcji do fazy stałej. Oryginalność podejścia polega na znalezieniu takiej kombinacji sorbentów, że uzyskuje się ekstrakt przygotowany do analizy chromatograficznej na zawartość różnych typów zanieczyszczeń (polichlorowane bifenyle, wielopierścieniowe węglowodory aromatyczne,...
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Effect of Differentiated Nitrogen Fertilization on the Enzymatic Activity of the Soil for Sweet Potato (Ipomoea batatas L. [Lam.]) Cultivation
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White Clover (Trifolium repens L.) Cultivation as a Means of Soil Regeneration and Pursuit of a Sustainable Food System Model
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Role of Bacterial Consortium and Synthetic Surfactants in Promoting the Phytoremediation of Crude Oil-Contaminated Soil Using Brachiaria mutica
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Determination of twenty pharmaceutical contaminants in soil using ultrasound-assisted extraction with gas chromatography-mass spectrometric detection
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Numerical Study on Seismic Response of a High-Rise RC Irregular Residential Building Considering Soil-Structure Interaction
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Determination of the adsorption mechanism of imidazolium type ionic liquids onto kaolinite: implications for their fate and transport in the soil environment
PublikacjaNiniejsza publikacja szczegółowo opisuje sorpcję cieczy jonowych na powierzchni glin kaolinowych. Uzyskane wyniki wskazują na występowanie zjawiska sorpcji wielowarstwowej. Przy całkowitym wysyceniu najwyższy współczynnik podziału został zaaobserwowany dla cieczy jonowych podstawionych długim łańcuchem alkilowym. Średnie wartości energii swobodnej wyznaczone dla procesu sorpcji cieczy jonowych są niższe niż typowe energie swobodne...
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Evaluation of surfactant and biosurfactant mixture usefulness in oil removal from soil, based on physicochemical studies and flushing experiments
PublikacjaZbadano aktywność powierzchniową i właściwości zwilżające surfaktantu niejonowego - Rokanolu NL6, biosurfaktantu - JBR 425 i ich mieszanin. Na podstawie tych badań określono zdolność tych surfaktantów do usuwania oleju syntetycznego (PAO 6) z piasku. Roztwory surfaktantów zostały użyte do przemywania złoża piaskowego w kolumnie oraz odmywania piasku metodą dynamiczną. Testy kolumnowe z roztworami Rokanolu NL6 i JBR 425 dały niskie...
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Development of laboratory reference material: Soil 1. Baseline and highly elevated concentrations of metals and polycyclic aromatic hydrocarbons
PublikacjaMateriały odniesienia odgrywają istotną rolę we wszystkich elementach systemu zapewnienia jakości wyników pomiarów. Komisja Europejska od ponad 20 lat wspiera programy badawcze ukierunkowane na poprawę jakości pomiarów fizycznych, biologicznych i chemicznych przez używanie odpowiednich materiałów odniesienia. Temat ich stosowania i perspektyw w Europie i na świecie w tej dziedzinie jest przedmiotem licznych dyskusji. Aktualnie...
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Deep eutectic solvent-based shaking-assisted extraction for determination of bioactive compounds from Norway spruce roots
PublikacjaPolyphenolic compounds play an essential role in plant growth, reproduction, and defense mechanisms against pathogens and environmental stresses. Extracting these compounds is the initial step in assessing phytochemical changes, where the choice of extraction method significantly influences the extracted analytes. However, due to environmental factors, analyzing numerous samples is necessary for statistically significant results,...
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Deep Eutectic Solvent Stir Bar Sorptive Extraction: A Rapid Microextraction Technique for the Determination of Vitamin D3 by Spectrophotometry
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Pore water alkalinity below the permanent halocline in the Gdańsk Deep (Baltic Sea) - Concentration variability and benthic fluxes
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Deep submarine groundwater discharge indicated by pore water chloride anomalies in the Gulf of Gdańsk, southern Baltic Sea
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New Simple and Robust Method for Determination of Polarity of Deep Eutectic Solvents (DESs) by Means of Contact Angle Measurement
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