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Lidar-derived optical properties of atmospheric aerosols in 4 urban environments in Poland (winter season)
No full textThe dataset was created to enable analyses of the wintertime air-quality conditions in urban agglomerations in Poland. For this, lidar technique was employed. The dataset comprises the height-resolved optical properties of atmosphere, including information on molecules, aerosol and cloud particles. Lidar measurements were conducted during winter season 2021-2022 in 3 locations: Zabrze (50.3148 N, 18.7712 E), Krakow (50.0671 N, 19.9133 E) and Wroclaw (51.1054 N, 17.0893 E), and during winter season 2023 in Warsaw (52.2109 N, 20.9826 E).ObservationsThe lidar measurements in Zabrze (Institute of Environmental Engineering -Polish Academy of Sciences), Krakow (AGH University of Science and Technology) and Wroclaw (University of Wroclaw) were conducted during the POLIMOS-SMOG Campaigns within the framework of “Technical Assistance for Polish Radar and Lidar Mobile Observation System” activities supported by the European Space Research and Technology Centre of the European Space Agency (ESA-ESTEC) using the ESA Mobile Mie-Raman Lidar (EMORAL) developed in POLIMOS.EMORAL lidar emits simultaneously, coaxially and vertically into the atmosphere the laser pulses at 355, 532, and 1064 nm with 10 Hz pulse repetition rate. The laser pulses scattered by atmospheric constituents in backward directions are detected with 300 mm Cassegrain telescope (field of view: 2-3.6 mrad) with 3.75 m spatial and 60 s temporal resolutions. The detection is done at 8 channels: 3 elastic (355, 532, 1064 nm), 2 depolarization (355, 532 nm), 2 N2 Raman (387, 607 nm) and H2O Raman (408 nm) and broad-band fluorescence channel (470 nm). For all channels, analogue and photon-counting detection is performed, except 1064 nm with analog only. The overlap between the laser beam and the full field of view of the telescope is ~250-350 m a.g.l. (see detailed description in Stachlewska et al., 2024).The lidar measurements in Warsaw (University of Warsaw) were collected at the ACTRIS National Facility in Warsaw accordingly to the observation schedule recommended by the European Lidar Network (EARLINET) using the UW stationary Mie-Raman lidar (PollyXT-UW).PollyXT-UW lidar emits simultaneously, coaxially and vertically into the atmosphere the laser pulses at 1064, 532, and 355 nm with 20 Hz pulse repetition rate. But backward scattered laser light is collected by 300 mm (far-field) and 50 mm (near-field) Newtonian reflectors with spatial and temporal resolution of 7.5 m and 5 s, respectively. Signals are recorded at 12 channels: 3 elastic FF (355, 532, 1064 nm), 2 elastic NF (355, 532 nm), 2 depolarization (355, 532 nm) and 3 Raman channels FF (387, 607, 408nm) and 2 in NF (387, 607 nm). For all channels, solely photon-counting detection is performed. The full overlap is at NF 120 m a.g.l. and FF 400 ma.g.l. (Engelmann et al., 2016).Data evaluation The data evaluation was done using the Lidar, Radar, Microwave radiometer algorithm (LiRaMi; more in Wang et al., 2020) developed at University of Warsaw, whereby Limited LiRaMi, i.e. LiLi algorithm version that uses solely lidar data was applied.This dataset contain files of optical properties derived as 15 minutes profiles.The data products are calculated from the analog channels for EMORAL and photon-counting in PollyXT-UW.Data structure and variablesThe dataset contains files in netcdf4 format for each day of observations at four aforementioned locations.Each of the .nc file has a structure, which contains Variables:Location (string)Latitude (size: 1x1 [deg])Longitude (size: 1x1 [deg])time vector (size: 1 x time, [UTC])range vector (size: range x 1, [m])RCS532p matrix (size: range x time, [V m2]), which contains the data of the range-corrected signal at 532nm, parallel polarization (only in EMORAL case)RCS532s matrix (size: range x time, [V m2]), which contains the data of the range-corrected signal at 532nm, perpendicular polarization (only in EMORAL case)RCS1064 matrix (size: range x time, [V m2]), which contains the data of the range-corrected signal at 1064nm (only in EMORAL case)SR532 matrix (size: range x time, [unitless]), which contains the data of the scattering ratio at 532nmATT_BETA532 matrix (size: range x time, [m2/sr]), which contains the data of the attenuated backscatter coefficient at 532nm, parallel polarizationC532 constant (size: 1x1, [V sr]), which is the instrumental constant for 532nm (only in EMORAL case)SR1064 matrix (size: range x time, [au]), which contains the data of the scattering ratio at 1064nmATT_BETA1064 matrix (size: range x time, [m2/sr]), which contains the data of the attenuated backscatter coefficient at 1064nmC1064 constant (size: 1x1, [V sr]), which is the instrumental constant for 1064nm (only in EMORAL case)COLOR_RATIO matrix (size: range x time, [au]), which contains the data of color ratio of 532nm and 1064nm.PARTICLE_DEPOLARIZATIO_RATIO matrix (size: range x time, [au]), which contains the data of particle depolarization ratio at 532nmC constant (size: 1x1, [au]), which is the depolarization constant for 532nm (only in EMORAL case).ReferencesStachlewska, I. S., Georgoussis, G., Freudenthaler, V., Hafiz, A., Poczta, P., Louridas, A., Wang, D., Janicka, Ł., Siomos, N., Karasewicz, M., Fortuna, R., Kokkalis, P., Amiridis, V., Byčenkien˙e, S., Drzeniecka-Osiadacz, A., Belegante, L., Nicolae, D., Tzeremes, G., Ribes Pleguezuelo, P., & Schüttemeyer, D. (2024). EMORAL—Mobile Mie-Raman Lidar with Fluorescence, Polarization and Water Vapor Observational Capabilities for Satellite Cal/Val Field Campaigns. In: Singh, U.N., Tzeremes, G., Refaat, T.F., Ribes Pleguezuelo, P. (eds), Space-based Lidar Remote Sensing Techniques and Emerging Technologies. LIDAR 2023. Springer Aerospace Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53618-2_21D’Amico, G., Amodeo, A., Baars, H., Binietoglou, I., Freudenthaler, V., Mattis, I., Wandinger, U., & Pappalardo, G. (2015). EARLINET single calculus chain - overview on methodology and strategy. Atmospheric Measurement Techniques, 8, 4891–4916. https://doi.org/10.5194/amt-8-4891-2015Engelmann, R., Kanitz, T., Baars, H., Althausen, D., Skupin, A., Wandinger, U., Komppula, M., Stachlewska, I. S., Amiridis, V., Marinou, E., Mattis, I., Linne, H., & Ansmann, A. (2016). The automated multiwavelength Raman polarization and water-vapor lidar PollyXT: the neXT generation. Atmospheric Measurement Techniques, 9, 1767–1784. https://doi.org/10.5194/amt-9-1767-2016Wang, D., Stachlewska, I.S., Delanoë., J., Ene, D., Song, X., Schüttemeyer, D. 2020, Spatio-temporal discrimination of molecular, aerosol and cloud scattering and polarization using a combination of a Raman lidar, Doppler cloud radar and microwave radiometer. Optics Express, 28, 20117–20134.ATTENTION:We offer free access to this dataset. The user is however, encouraged to share the information on the data use with the Remote Sensing Laboratory by sending an e-mail to rslab@fuw.edu.pl.In the case this dataset is used for a scientific communication (publication, conference contribution, thesis), we would like to kindly ask for considering to acknowledge data provision by adding the following statement in Acknowledgments: "We acknowledge the data originators M. Karasewicz, A. Tomczak, E.A. Ugboma, Ł. Janicka, P. Poczta, A. Hafiz, Z. Rykowska, P. Mishra, R. Fortuna, D.M. Szczepanik and I.S. Stachlewska for quality-assurance, evaluation, and provision of data sets of the Remote Sensing Laboratory at the Faculty of Physics of the University of Warsaw, Poland."</p
Ex vivo permeation of agomelatine from PolyJet 3D printed ethanol gel-coated cone microneedle systems
No full textRaw data from ex vivo permeation test (IVPT) of agomelatine (AGM) from microneedle systems.Microneedle system specifications:3D printing method: PolyJetmicroneedle shape: Conecoating-gel type: ethanol gelDrug permeation studies:The permeation of agomelatine (AGM) was evaluated using Franz Diffusion Cells (Teledyne Hanson 376 Research, USA) with full-thickness human skin as the diffusion membrane. The skin was thawed in PBS at room temperature, mounted on the diffusion cells, and conditioned for 30 min. After this time the microneedle system was placed onto the chamber opening (1 cm²) with full-thickness human skin as the diffusion membrane. The study lasted for 7 days and sodium azide 0.02% w/v was added to the acceptor fluid as an antimicrobial agent. At specific time points, 0.3 mL samples were taken and analyzed using High-Performance Liquid Chromatography (HPLC). The amount of the acceptor medium taken for the analysis was immediately replaced with the fresh portion of the fluid. Six replications were performed for each formulation. After the study, the epidermis and dermis from each skin sample were separated manually using scissors and forceps and inserted in tubes with 3 mm zirconium beads (Benchmark Scientific Inc., Sayreville, NJ, USA). Next, 1 mL of water and ethanol solution (50:50 v/v) was added to each tube, and the samples were homogenized for 9 min using a BeadBug Microtube Homogenizer (Benchmark Scientific Inc., USA). Then, the samples were centrifuged for 5 min at 10,000 rpm, and the supernatant was analyzed using HPLC to examine the amount of the drug in the tissue.Quantification of AGM:The amount of AGM permeated was analyzed using High-Performance Liquid Chromatography (HPLC) (Shimadzu Nexera-I LC-2040C, Japan) with LabSolution Lite software.Chromatographic Conditions:Column: Reversed-phase C18 (HyperClone BDS C18, 5 µm, 4.6 × 250 mm, Phenomenex, Torrance, CA, USA)Column Temperature: 30.0 ± 0.2°CMobile Phase: Acetonitrile and 0.05 M potassium dihydrogen phosphate solution (pH = 2.9, adjusted with 85% orthophosphoric acid) in a 35:65 ratioMode: IsocraticFlow Rate: 1.0 mL/minDetection Wavelength: 230 nmThe set contains data in LCD/ LCB format, created using the LabSolutions software (HPLC, Nexera LC 2040C). Data file (.lcd) contains all analysis results and acquisition information from the following files. Data in .txt format can be read without the need for LabSolutions software.</p
Predicting optical parameters of nanostructured optical fibers using machine learning algorithms
No full textAdditional material for the article:S. Kaźmierczak, R. Kasztelanic, R. Buczyński, J. Mańdziuk, "Predicting optical parameters of nanostructured optical fibers using machine learning algorithms," Engineering Applications of Artificial Intelligence 132, 107921 (2024).Training data setTraining resultsPlease consult the Readme.txt file for additional information.</p
Expulsion, incarceration, incapacitation: policing drinking women in Poland and Britain in the second half of the 19th century (dataset collection)
No full textDespite their cultural, political and economic differences, both Victorian Britain and post-partition Poland shared the belief that women’s drinking was more harmful than men’s. This belief prompted different approaches to policing. The presented data focus on a detailed account of the Girgenti reformatory for female drinkers, which is an example of a formal approach to policing drunken women. Based on the Grigenti case book, we constructed a database containing all the patient details.This data collection contains the source material used for the article. The collection is made available on an open access basis. Details can be found in the README file.</p
Source data for: PI-Based Set-Point Learning Control for Batch Processes with Unknown Dynamics and Nonrepetitive Uncertainties
No full textFor industrial batch processes with unknown dynamics subject to nonrepetitive initial conditions and disturbances, this paper develops a novel adaptive data-driven set-point learning control (ADDSPLC) scheme based on only the measured process input and output data, which has two loops, one for the dynamics within a batch and the other for the batch-to-batch dynamics. In the former case, a model-free tuning strategy is firstly presented for determining the closed-loop PI controller parameters. For the latter case, a set-point learning control law with adaptive set-point learning gain and gradient estimation is developed for batch run optimization. Robust convergence of the output tracking error is rigorously analyzed together with the boundedness of adaptive learning gain and real-time updated set-point command. Moreover, another iterative extended state observer based (ADDSPLC) scheme is developed with rigorous convergence and boundedness analysis, to enhance the robust tracking performance against nonrepetitive uncertainties. Finally, two illustrative examples from the literature are used to demonstrate the effectiveness and superiority of the new schemes over the recently developed data-driven learning control designs.</p
News sentiment analysis using ChatGPT for Bitcoin price dynamics: Application of statistical and machine learning methods
No full textData cover the period from January 1, 2021, to March 31, 2024. It includes:logarithms of realized variance for BTC/USD (lRVd,t), daily logarithmic returns (rd,t), logarithms of first lags for daily (lRVd,t-1), weekly (lRVw,t-1), and monthly (lRVm,t-1) realized variances and sentiment indicators from ChatGPT connected with: (1) a potential short-term price increase or decrease (XP), (2) a potential short-term increase or decrease in volatility (XV1), (3) a potential short-term high or low volatility (XV2) and unidirectional sentiment indicators connected with: (4) the short-term expectations of a increase in BTC price (XP+),(5) the short-term expectations of a decrease in BTC price (XP-), (6) the short-term expectations of a increase in BTC volatility (XV1+), (7) the short-term expectations of a decrease in BTC volatility (XV1-), (8) the short-term expectations of high BTC volatility (XV2+), (9) the short-term expectations of low BTC volatility (XV2-). </p
Emerytury z ZUS-u równe najniższej emeryturze lub od niej niższe
No full textZbiór obejmuje dane, otrzymane z Zakładu Ubezpieczeń Społecznych (ZUS) przez Danutę Życzyńską-Ciołek w związku z przygotowaniem i realizacją projektu „’Emerytury groszowe’ w kontekście poczucia sprawiedliwości społecznej oraz celów polityki emerytalnej – wielowymiarowa analiza socjologiczna”. Dane pozyskano w ramach modułu dotyczącego analizy danych zastanych, w którego realizację zaangażowana była Marta Kołczyńska (Instytut Studiów Politycznych PAN).W skład zbioru wchodzą dwa pliki: Emerytury_1 i Emerytury_2.Plik Emerytury_1 zawiera dane dotyczące osób, którym w grudniu 2020 r. ZUS wypłacił emerytury nowosystemowe w wysokości niższej niż wysokość najniższej emerytury (tj. niższej niż 1 200,00 zł brutto).Dane te obejmują: (a) płeć emeryta/emerytki,(b) typ historii składkowej, tzn. informację, czy na kapitał emerytalny składają się: wyłącznie składki wpłacone po 1998 r.; wyłącznie kapitał początkowy; czy kapitał początkowy i składki wpłacone po 1998 r.,(c) rok urodzenia emeryta/emerytki,(d) wiek emeryta/emerytki w XII 2020 r.,(e) rok przejścia na emeryturę,(f) wysokość zgromadzonego kapitału początkowego w zł (przedziały),(g) wysokość zgromadzonego kapitału emerytalnego w zł (składki łącznie z subkontem + kapitał początkowy; przedziały),(h) liczbę osób w każdej z kategorii wyznaczonych przez poprzednie zmienne.Dane te zostały przekazane kierowniczce projektu przez Departament Statystyki i Prognoz Aktuarialnych ZUS w X 2021 r.Plik Emerytury_2 zawiera informacje na temat:(a) liczby osób, którym w latach 2009–2025 ZUS wypłacił emerytury nowosystemowe w wysokości równej wysokości najniższej emerytury (dane na marzec każdego roku), (b) liczby osób, którym w latach 2018–2025 wypłacił na mocy umów międzynarodowych emerytury nowosystemowe w wysokości równej wysokości najniższej emerytury (dane na marzec każdego roku).Dane te zostały przekazane przez ZUS kierowniczce projektu w VIII 2025 r. na podstawie wniosku o udostępnienie informacji publicznej.</p
Raw data from the manuscript entitled "Recent solid-phase microextraction-based analytical approaches for the profiling of biliary bile acids in pre-transplant assessments of liver grafts subjected to normothermic ex vivo liver perfusion"
No full textRaw data from the manuscript entitled "Recent solid-phase microextraction-based analytical approaches for the profiling of biliary bile acids in pre-transplant assessments of liver grafts subjected to normothermic ex vivo liver perfusion".Kamil Łuczykowskia, Natalia Warmuzińskaa, Karol Jarocha, Dagmar Kollmannb,c, Markus Selznerb, Barbara Bojkoaa Department of Pharmacodynamics and Molecular Pharmacology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Bydgoszcz, Polandb Department of Surgery, Ajmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, ON M5G 2C4, Canadac Department of General Surgery, Medical University of Vienna, 1090 Vienna, AustriaLiver transplantation is the definitive treatment for end-stage liver failure, but the scarcity of donor organs remains a significant challenge. Leveraging organs from extended criteria donors (ECD) offers a potential avenue to address worldwide shortages, though these organs are more susceptible to post-reperfusion injury. This study explores the use of normothermic ex vivo liver perfusion (NEVLP) as a method for organ preservation – an approach that sustains liver metabolism and facilitates pre-transplant assessments of organ viability via bile analysis. The focal point of this study revolves on the development of analytical methods for determining the bile acid profile throughout the peritransplantation period as a potential indicator of liver function and viability.The study optimized and validated a high-throughput analytical method to quantify selected bile acids in bile samples using a thin-film microextraction-liquid chromatography-mass spectrometry (TFME-LC-MS) platform. Furthermore, it introduced a solid-phase microextraction-microfluidic open interface-mass spectrometry (SPME-MOI-MS) method for rapid direct analysis of bile acid isobar groups. In the animal study, discernible variations in the concentrations of specific bile acids were observed between donors after circulatory death (DCD) and heart-beating donors (HBD), particularly following normothermic perfusion and reperfusion. Noteworthy fluctuations in individual bile acid concentrations were observed throughout the entire organ transplantation process, with taurocholic acid (TCA), glycocholic acid (GCA), and glycochenodeoxycholic acid (GCDCA) emerging as promising indicators of organ quality. The efficacy of the SPME-MOI-MS platform in corroborating these trends highlights its potential for real-time bile acid analysis during liver transplantation procedures.Our findings underscore the efficacy of NEVLP in tandem with advanced bile acid analysis methods as a reliable strategy for pre-transplant assessments of organ viability, potentially increasing the use of ECD organs and reducing organ shortages. The ability to monitor bile acid profiles in real-time provides crucial insights into liver function and ischemic injury, making significant strides in improving transplant outcomes and patient survival rates.Animal studyThe study utilized bile samples from two types of porcine model donors (Yorkshire pigs weighing 29–35 kgs): HBD, and DCD. The experiments were approved by the Animal Resource Centre at the University Health Network, and all animals were treated humanely in accordance with the National Institute of Health's “Guide for the Care of Laboratory Animals”. The research material was provided by the Department of Surgery at Toronto General Hospital (University Health Network, Toronto). Bile samples were collected at specific time points during NEVLP and after liver transplantation: before organ procurement, during perfusion, 3 and 5 h after reperfusion, and on days 1 and 3 post-transplantation (Fig. 1). For the DCD group, a model with 90 min warm ischemia time was used (n = 5 in each group). Sample preparation Preparation of samples was carried out using SPME, with each step of the process conducted on a high-throughput 96-manual SPME system (Professional Analytical System (PAS) Technology, Magdala, Germany), enabling simultaneous analysis of all samples. Steel blades coated with a 10 mm octadecyl silica (C18) sorbent were used. Steel blades were purchased from PAS Technology (Magdala, Germany) and polypropylene Nunc 96 DeepWell plates were purchased from Merck (Poznań, Poland). Prior to extraction, SPME blades were conditioned for 30 min in 1.0 mL of a methanol: water (50:50; v/v) solution in 96-well-plates, with agitation at 1000 rpm at room temperature. This was followed by a 10-s wash step. Subsequently, extractions were carried out using 1 mL of diluted bile (100-fold and 10000-fold in PBS) with an internal standard (IS) added to achieve a final concentration of 50 ng/mL, under the same conditions, for 60 min. The concentration of organic solvents in the studied samples did not exceed 1 % (v/v), thereby ensuring optimal extraction efficiency [12]. Post-extraction, the blades were washed in 1 mL of nanopure water for 10 s. Desorption was subsequently performed in 1 mL of methanol with agitation at 1000 rpm for 45 min at room temperature.LC-MS analysisChromatographic separation was performed on the Nexera UHPLC system. Bile extracts were injected in a volume of 5 μL on an ACQUITY UPLC CSH C18 Column (1.7 μm, 2.1 mm ×100 mm, Waters). The autosampler and column temperatures were maintained at 4 ◦C and 55 ◦C, respectively, throughout the analysis. The flow rate was set to 0.4 mL/min. Mobile phase A consisted of water with formic acid (99.9:0.1; v/v), while mobile phase B was composed of acetonitrile with formic acid (99.9:0.1; v/v). The total analysis time per sample was 13 min. The initial mobile phase conditions were set at 40 % B from 0 to 4.0 min, followed by a linear gradient to 70 % B from 4.0 to 10.0 min, an isocratic hold at 100 % B from 10.1 to 11.0 min, and a 2-min column re- equilibration time with 40 % B. The analyses were performed on a LC–MS 8060 triple quadrupole mass spectrometer (Shimadzu, Kyoto, Japan), equipped with an electrospray ionization source operating in negative-ion mode and utilizing multiple reaction monitoring (MRM). The MRM transitions, along with the collision energies for individual bile acids, are detailed in Table S1. The ESI source parameters were set as following: interface voltage at 3.0 kV, interface temperature at 300 ◦C, DL temperature at 250 ◦C, heat block temperature at 450 ◦C, nebulizing gas flow at 3.0 L/min, drying gas flow at 10.0 L/min, and heating gas flow at 10.0 L/min.Solid phase microextraction - microfluidic open interface – mass spectrometry (SPME-MOI-MS) analysisA rapid analysis of bile acids without chromatographic separation was performed using a microfluidic open interface (MOI) coupled directly to a mass spectrometer. Analytes were extracted from bile samples using 8 mm C18 SPME fibers. Prior to sampling, fibers were preconditioned for 60 min in a methanol:water (50:50 v/v) solution and then rinsed with purified water. Extractions were carried out from 1 mL of diluted bile samples (1:99 in PBS) spiked with CA-d4 to a final concentration of 50 ng/mL, for 15 min under agitation at 1000 rpm. Following extraction, SPME fibers were quickly rinsed with ultrapure water for 5 s to remove residual salts and non-specific bile components loosely adhered to the sorbent surface. Individual fibers were then placed in the desorption chamber of the MOI for 10 s for desorption, and subsequently removed from the chamber. The resulting solution containing the desorbed bile acids was transferred from the MOI to the MS, and ionized by electrospray, with a dwell time of 10 msec. The construction and functional principles of the MOI device are described in detail elsewhere. The desorption solution, consisting of MeOH with formic acid (99.9:0.1; v/v), was delivered to the MOI device by a Harvard Apparatus Pump 11 Elite pump (Holliston, Massachusetts, USA). The desorption step was performed by equilibrating the pump flow rate, set at 165 μL/min, with the electrospray ionization (ESI) aspiration. Similar to the LC-MS analysis described above, a triple quadrupole mass spectrometer operating in negative ionization mode was utilized, employing previously optimized MRM settings for bile acids. The MS parameters were configured as follows: interface voltage at 3.0 kV, interface temperature at 300 ◦C, DL temperature at 250 ◦C, heat block temperature off, nebulizing gas flow at 3.0 L/min, drying gas flow at 10.0 L/min, and heating gas flow at 10.0 L/min. This study was funded by National Science Centre (Poland), grant Preludium No. 2022/45/N/ST4/01177</p
Concentration-dependent disturbances of digestive functions in house cricket (Insecta: Orthoptera) exposed to GO-AgNP composite
No full textThe project's main goal is to determine which of the chosen NPs (graphene oxide - GO, silver nanoparticles - AgNPs, and GO-Ag composite) and in what concentration can change the activity of digestive enzymes of a model organism (Acheta domesticus).The partgoals of this project are to check and describe:1. Determination of the relationship between the concentration of GO, AgNPs, GO-Ag composite, and the activity of selected digestive enzymes (proteases, amylases, α- glucosidase, β-glucosidase, β-galactosidase, and lipases) in A. domesticus. The data related to the goal are deposited as: aGLU_composite.xlsx; Amylase_composite.xlsx; bGAL_composite.xlsx; bGLU_composite.xlsx; Lipase_composite.xlsx; protease_composite.xlsx2. Description of potential changes in the activity of digestive enzymes depending on the exposure time, with particular emphasis on the early phase of exposure, in which hormetic effects can occur. The data related to the goal are deposited as: aGLU_composite.xlsx; Amylase_composite.xlsx; bGAL_composite.xlsx; bGLU_composite.xlsx; Lipase_composite.xlsx; protease_composite.xlsx3. Determination of the food budget in A. domesticus in the early phase of exposure to the NPs. The data related to the goal are deposited as: Budget_GO-Ag composite.xlsx4. Determination of gut cell viability (share of apoptotic, live, and dead cells) in crickets exposed to NPs in a time- and concentration-dependent scheme. The data related to the goal are deposited as: Annexin_dead_cells_composite.xlsx; ROS_oxidative stress_composite.xlsx5. Description of the gut ultrastructure of A. domesticus after exposure to GO-Ag composite.</p
Three-layered composite scintillator based on the epitaxial structures of YAG and LuAG garnets doped with Ce3+ and Sc3+ impurities
No full textIn this work, we have proposed new types of three layered composite scintillators for simultaneous registration of the different components of ionization radiation based on the epitaxial structures of LuAG and YAG garnets, doped with Ce3+ and Sc3+ ions. The samples of such composite scintillators, containing YAG:Ce and LuAG:Ce single crystalline films with different thicknesses and LuAG:Sc single crystal substrates were grown using the Liquid Phase Epitaxy method from melt-solutions based on PbO-B2O3 fluxes. The scintillation properties of proposed composites YAG:Ce film/LuAG:Sc film/LuAG:Ce crystal and YAG:Ce film/LuAG:Ce film/LuAG:Sc crystal were investigated under excitation by radiation of α–particles of 239Pu source; b-particles of 90Sr sources and γ-rays of 137Cs source. Considering the properties of the mentioned composite scintillators, special attention was paid to the ability of simultaneous separation of the different components of mixed ionizing radiation containing mentioned particles and quanta using scintillation decay kinetics. The differences in the scintillation decay curves under α– and b- particle and γ-rays excitations were characterized by the Figure-of-Merit (FOM) values at different scintillation decay intensity levels (1/e, 0.1, 0.05, 0.01). </p
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