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Search results for: VITREOUS HUMOR
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The Stability of 4‐Chloromethcathinone in Blood and Vitreous Humor
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Vitreous humour – routine or alternative material for analysis in forensic medicine
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Uncertainty of Postmortem Time Estimation Based on Potassium Ion Determination in Vitreous Humor Using Potentiometric Ion-Selective Electrode and Microwave-Induced Plasma with Optical Emission Spectrometry Methods
PublicationThere is a need for a reliable and independent evaluation and confirmation of the post-mortem interval (PMI) based on objective factors other than only postmortem changes or temperature measurements. Estimating the PMI by examining the concentration of potassium ions in the vitreous humor (VH) has a tradition in forensic toxicology dating back to the mid-20th century. So far, the methods for determining the presence of potassium...
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Enhanced electrochemical activity of boron-doped nanocarbon functionalized reticulated vitreous carbon structures for water treatment applications
PublicationAn extraordinary charge transfer kinetics and chemical stability make a boron-doped diamond (BDD) a prom- ising material for electrochemical applications including wastewater treatment. Yet, with flat geometrical sur- faces its scaling options are limited. In this study, the reticulated Vitreous Carbon (RVC) served as a substrate for boron-doped diamondized nanocarbons (BDNC) film growth resulting with complex heterogeneity carbon structures...
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Using differential pressure sensor to measure nitrous oxide level in a tank
PublicationA method for measuring the level of liquid nitrous oxide oxidizer in a hybrid rocket motor oxidizer tank is proposed. Presented approach is more accurate than the most commonly used method of this measurement, which employs weighting of the whole sounding rocket or an oxidizer tank. In our solution we use a differential pressure sensor to measure the change of pressure at the bottom of an oxidizer tank in comparison to the pressure...
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The potential anti-tumor activity of neoteric solvents
PublicationCiecze jonowe stały się obiektem zainteresowania naukowców. Znajdują one coraz to szersze zastosowanie. Dlatego też ważne jest określenie ich właściwości Eko-toksycznych. Aktywność anty-nowotworowa i cytotoksyczna cieczy jonowych stała się zatem ważnym aspektem badań. Artykuł podsumowuje najnowsze wyniki badań nad cytotoksycznością tych rozpuszczalników
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Loss of DRO1/CCDC80 in the tumor microenvironment promotes carcinogenesis
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Image Segmentation of MRI image for Brain Tumor Detection
Publicationthis research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...
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Native wheat, potato and pea starches and their physically modified preparations testedin vitroas the substrates for selectedBifidobacteriumstrains
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The Relationship between Gene Activity and Nitrous Oxide Production during Nitrification in Activated Sludge Systems
PublicationNitrite is an important factor which inhibits the first stage of the nitrification, the effect is stronger with the decrease of the DO concentrations. NO2- presence at concentration above 15 mg N – NO2 in the aeration tanks stimulates N2O production regardless of the DO concentration. The significant nirS gene induction, observed especially during the experiments with the nitrite addition indicates that N2O production is basically...
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Current Challenges in Targeting Tumor Desmoplasia to Improve the Efficacy of Immunotherapy
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Clinical Relevance of Circulating Tumor Cells in Prostate Cancer Management
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Gemcitabine Peptide-Based Conjugates and Their Application in Targeted Tumor Therapy
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Holistic Approach to the Diagnosis and Treatment of Patients with Tumor Metastases to the Spine
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Recent advances in 3D bioprinted tumor models for personalized medicine
PublicationCancerous tumors are among the most fatal diseases worldwide, claiming nearly 10 million lives in 2020. Due to their complex and dynamic nature, modeling tumors accurately is a challenging task. Current models suffer from inadequate translation between in vitro and in vivo results, primarily due to the isotropic nature of tumors and their microenvironment's relationship. To address these limitations, hydrogel-based 3D bioprinting...
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An algorithm for selecting a machine learning method for predicting nitrous oxide emissions in municipal wastewater treatment plants
PublicationThis study presents an advanced algorithm for selecting machine learning (ML) models for nitrous oxide (N2O) emission prediction in wastewater treatment plants (WWTPs) employing the activated sludge process. The examined ML models comprised multivariate adaptive regression spline (MARS), support vector machines (SVM), and extreme gradient boosting (XGboost). The study explores the concept that involves new criteria to select the...
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Cadmium, arsenic, selenium and iron– Implications for tumor progression in breast cancer
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Progress in targeting tumor cells by using drug-magnetic nanoparticles conjugate.
PublicationTo limit the cytotoxicity of anticancer drugs against healthy cells, an appropriate carrier should be synthesized to deliver the drug to the tumor tissue only. A good solution is to anchor a magnetic nanoparticle to the molecule of the drug and to use a properly directed external magnetic field. We have shown that the improved by us synthesis of the conjugate of doxorubicin with iron-oxide magnetic nanoparticles allows a substantial...
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Naturally-derived hydrogels for 3D pancreatic tumor models: A short review
PublicationStatistics suggest a high proportion of mortality rate by pancreatic cancer, which is a solid tumor characterized by high heterogeneity and the presence of a complex extracellular matrix. The very low effectiveness of pancreatic cancer treatment roots in the high metastatic potential and drug resistance of this tumor. Therefore, the quest for efficient cellular models enabling precise mimicking in vivo conditions, and anticancer...
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ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization
PublicationRenal tumor malignancy classification is one of the crucial tasks in urology, being a primary factor included in the decision of whether to perform kidney removal surgery (nephrectomy) or not. Currently, tumor malignancy prediction is determined by the radiological diagnosis based on computed tomography (CT) images. However, it is estimated that up to 16% of nephrectomies could have been avoided because the tumor that had been...
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Regarding the concurrent presence of secretory carcinoma and Warthin’s tumor in the ipsilateral parotid gland
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Overcome the tumor immunotherapy resistance by combination of the HDAC6 inhibitors with antitumor Immunomodulatory agents.
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Stromal expression of ALDH1 in human breast carcinomas indicates reduced tumor progression
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Total DNA methylation as a biomarker of DNA damage and tumor malignancy in intracranial meningiomas
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Comparison of the ability to induce apoptosis by acridine derivatives in solid tumor and leukemia cells
PublicationW pracy wykazano różną wrażliwość komórek nowotworowych do ulegania apoptozie pod wpływem pochodnych akrydyny.
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Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation
PublicationAutomatic and accurate segmentation of liver tumors is crucial for the diagnosis and treatment of hepatocellular carcinoma or metastases. However, the task remains challenging due to imprecise boundaries and significant variations in the shape, size, and location of tumors. The present study focuses on tumor segmentation as a more critical aspect from a medical perspective, compared to liver parenchyma segmentation, which is the...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublicationNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Expression of pendrin and NIS iodide transporters in human breast tumor and peri-tumoral tissue
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Metabolomic approach for determination of urinary nucleosides as potential tumor markers using electromigration techniques
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Carbon nanotube based dielectric spectroscopy of tumor secretion; electrochemical lipidomics for cancer diagnosis
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
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Coordinated reprogramming of renal cancer transcriptome, metabolome and secretome associates with immune tumor infiltration
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Strategies for overcoming ABC-transporters-mediated multidrug resistance (MDR) of tumor cells. Review
PublicationOporność wielolekowa (MDR) nowotworów jest główną przyczyną niepowodzeń w chemoterapii przeciwnowotworowej. Jest ona wynikiem nadprodukcji w komórkach opornych transporterów białkowych z nadrodziny ABC, eksportujących cytostatyk z komórki, których działanie uniemożliwia utrzymanie terapeutycznego stężenia leku. W publikacji dokonano przeglądu różnych strategii przeciwdziałania zjawisku MDR. Strategie te dotyczą zarówno kontroli...
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Suppressive effects of the obese tumor microenvironment on CD8 T cell infiltration and effector function
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Interstrand crosslinking of DNA in tumor and fibroblast cells by C-1311 (Symadex) and other imidazoacridinones
PublicationImidazoakrydony, w tym pochodna C-1311 znajdująca się w pierwszej fazie badań klinicznych prowadzonych przez firmę Xanthus Life Sciences, należą do grupy bardzo aktywnych związków przeciwnowotworowych zsyntetyzowanych w Katedrze Technologii Leków i Biochemii PG. Za pomocą zmodyfikowanej metody Parsons'a wykazaliśmy, że C-1311 indukuje w sposób zależny od stężenia międzyłańcuchowe wiązania sieciujące w komórkach różnych nowotworów...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublicationCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis
PublicationRenal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...
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Strategies for mitigating nitrous oxide production and decreasing the carbon footprint of a full-scale combined nitrogen and phosphorus removal activated sludge system
PublicationNitrous oxide (N2O) emitted from biological nutrient removal activated sludge systems contributes significantly to the total carbon footprint of modern wastewater treatment plants. In the present study, N2O production and emissions were experimentally determined in a large-scale plant (220,000 PE) employing combined nitrogen (N) and phosphorus (P) removal. As a modelling tool, the Activated Sludge Model 2d (ASM2d) was extended...
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Modeling nitrous oxide production by a denitrifying-enhancedbiologically phosphorus removing (EBPR) activated sludge in thepresence of different carbon sources and electron acceptors
PublicationIn this study, the IWA Activated Sludge Model No. 2d (ASM2d) was expanded to identify the most important mechanisms leading to the anoxic nitrous oxide (N2O) production in the combined nitrogen (N) and phosphorus (P) removal activated sludge systems. The new model adopted a three-stage denitrification concept and was evaluated against the measured data from one/two-phase batch experiments carried out with activated sludge withdrawn...
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The Degree of Global DNA Hypomethylation in Peripheral Blood Correlates with That in Matched Tumor Tissues in Several Neoplasia
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Distinct cellular uptake patterns of two anticancer unsymmetrical bisacridines and their metabolic transformation in tumor cells.
PublicationUnsymmetrical bisacridines (UAs) represent a novel class of anticancer agents. Their high cytotoxicity towards multiple human cancer cell lines and inhibition of human tumor xenograft growth in nude mice signal their potential for cancer treatment. Therefore, the mechanism of their strong biological activity is broadly investigated. Here, we explore the efflux and metabolism of UAs, as both strongly contribute to the development...
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Metabolic Profiles of New Unsymmetrical Bisacridine Antitumor Agents in Electrochemical and Enzymatic Noncellular Systems and in Tumor Cells
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Immunoscore, circulating tumor cells and human-derived organoids as potential predictive tools in personalized cancer medicine
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CGB and GNRH1 expression analysis as a method of tumor cells metastatic spread detection in patients with gynecological malignances
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Nicotinamide phosphorybosiltransferase overexpression in thyroid malignancies and its correlation with tumor stage and with survivin/survivin DEx3 expression
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Circulating Tumor Cells as a Marker of Disseminated Disease in Patients with Newly Diagnosed High-Risk Prostate Cancer
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Novel electrogravimetric biosensors for the ultrasensitive detection of plasma matrix metalloproteinase-2 considered a potential tumor biomarker
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The ability to overcome multidrug resistance of tumor cell lines by novel acridine cytostatics with condensed heterocyclic rings
PublicationZbadano aktywność cytotoksyczną, in vitzo dwóch nowych grup cytostatyków akrydynowych zawierających skondensowane pierścienie heterocykliczne w stosunku do komórek nowotworowych linii wrażliwych i opornych. Otrzymane wyniki potwierdziły naszą wcześniejszą hipotezę o istotnej roli pierścieni hetero-cyklicznych w pokonywaniu krzyżowej oporności wielolekowej.
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Stable nanoconjugates of transferrin with alloyed quaternary nanocrystals Ag–In–Zn–S as a biological entity for tumor recognition
PublicationOne way to limit the negative effects of anti-tumor drugs on healthy cells is targeted therapy employing functionalized drug carriers. Here we present a biocompatible and stable nanoconjugate of transferrin anchored to Ag-In-Zn-S quantum dots modified with 11-mercaptoundecanoic acid (Tf-QD) as a drug carrier versus typical anticancer drug, doxorubicin. Detailed investigations of Tf-QD nanoconjugates without and with doxorubicin...