wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: 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
PublikacjaThere 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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HUMOR: International Journal of Humor Research
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Retina-Vitreus
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Tumor
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TUMOR BIOLOGY
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International Journal of Retina and Vitreous
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Studies in American Humor
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RETINA-THE JOURNAL OF RETINAL AND VITREOUS DISEASES
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Thalia: Studies in Literary Humor
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Enhanced electrochemical activity of boron-doped nanocarbon functionalized reticulated vitreous carbon structures for water treatment applications
PublikacjaAn 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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Anti-Tumor Pharmacy
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Progress in tumor research
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Using differential pressure sensor to measure nitrous oxide level in a tank
PublikacjaA 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
PublikacjaCiecze 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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European Journal of Humour Research
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Tumor Diagnostik und Therapie
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PROGRESS IN EXPERIMENTAL TUMOR RESEARCH
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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
Publikacjathis 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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The Relationship between Gene Activity and Nitrous Oxide Production during Nitrification in Activated Sludge Systems
PublikacjaNitrite 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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Gemcitabine Peptide-Based Conjugates and Their Application in Targeted Tumor Therapy
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Clinical Relevance of Circulating Tumor Cells in Prostate Cancer Management
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Current Challenges in Targeting Tumor Desmoplasia to Improve the Efficacy of Immunotherapy
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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
PublikacjaCancerous 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
PublikacjaThis 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.
PublikacjaTo 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
PublikacjaStatistics 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
PublikacjaRenal 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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Stromal expression of ALDH1 in human breast carcinomas indicates reduced tumor progression
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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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Total DNA methylation as a biomarker of DNA damage and tumor malignancy in intracranial meningiomas
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Comparison of Selected Neural Network Models Used for Automatic Liver Tumor Segmentation
PublikacjaAutomatic 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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Comparison of the ability to induce apoptosis by acridine derivatives in solid tumor and leukemia cells
PublikacjaW pracy wykazano różną wrażliwość komórek nowotworowych do ulegania apoptozie pod wpływem pochodnych akrydyny.
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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
PublikacjaNitrous 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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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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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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Coordinated reprogramming of renal cancer transcriptome, metabolome and secretome associates with immune tumor infiltration
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Expression of pendrin and NIS iodide transporters in human breast tumor and peri-tumoral tissue
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Strategies for overcoming ABC-transporters-mediated multidrug resistance (MDR) of tumor cells. Review
PublikacjaOporność 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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Interstrand crosslinking of DNA in tumor and fibroblast cells by C-1311 (Symadex) and other imidazoacridinones
PublikacjaImidazoakrydony, 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
PublikacjaCirculating 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
PublikacjaRenal 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
PublikacjaNitrous 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...