Potassium layered polytitanates influence on low-pressure polyethylene properties in wide concentrations range

Thermoplastic composites based on low-pressure polyethylene and layered potassium titanates have been made in the work. We have shown the possibility to processing the composites into the products by injection molding at polytitanates content up to 50%wt. Technological properties of composites at low concentrations of filler are established. Layered potassium polytitanates influence on the mechanical and thermophysical properties of low-pressure polyethylene in a wide range of concentrations is investigated: from 1 to 50 %wt. Essential increase of complex of mechanical properties of polyethylene at introduction of small amounts of layered potassium polytitanates is shown. Due to the layered structure of the potassium polytitanates with particle size of about 500 nm in diameter and a thickness of less than 10 nm durability to shock loads increase comparable to the results of the introduction of fibrous potassiumhexatitanates is reached

Potassium layered polytitanates influence on low-pressure polyethylene properties in wide concentrations range

Thermoplastic composites based on low-pressure polyethylene and layered potassium titanates have been made in the work. We have shown the possibility to processing the composites into the products by injection molding at polytitanates content up to 50%wt. Technological properties of composites at low concentrations of filler are established. Layered potassium polytitanates influence on the mechanical and thermophysical properties of low-pressure polyethylene in a wide range of concentrations is investigated: from 1 to 50 %wt. Essential increase of complex of mechanical properties of polyethylene at introduction of small amounts of layered potassium polytitanates is shown. Due to the layered structure of the potassium polytitanates with particle size of about 500 nm in diameter and a thickness of less than 10 nm durability to shock loads increase comparable to the results of the introduction of fibrous potassiumhexatitanates is reached

Deep Learning Approaches for LHCb ECAL Reconstruction

Calorimeters are a crucial component for most detectors mounted on modern colliders. Their tasks include identifying and measuring the energy of photons and neutral hadrons, recording energetic hadronic jets, and contributing to the identification of electrons, muons, and charged hadrons. To fulfill these many tasks while keeping costs reasonable, the calorimeter construction requires good and thoughtful balancing with other components of the detector. Much harder operation conditions during LHC’s high luminosity Run 5 and beyond bring new technological and computational challenges. This requires optimization of technologies, layouts, readouts, reconstruction algorithms to achieve the best overall physics performance for the limited cost. In the traditional approach, the reconstruction of the physical objects in the calorimeter must be matched to the calorimetric showers simulation used. We present a deep learning-based approach to help utilize raw simulated calorimetric data of varying degrees of detail

Hemozoin "knobs" in Opisthorchis felineus infected liver

Background Hemozoin is the pigment produced by some blood-feeding parasites. It demonstrates high diagnostic and therapeutic potential. In this work the formation of co-called hemozoin “knobs” – the bile duct ectasia filled up by hemozoin pigment - in Opisthorhis felineus infected hamster liver has been observed. Methods The O. felineus infected liver was examined by histological analysis and magnetic resonance imaging (MRI). The pigment hemozoin was identified by Fourier transform infrared spectroscopy and high resolution electrospray ionization mass spectrometry analysis. Hemozoin crystals were characterised by high resolution transmission electron microscopy. Results Hemozoin crystals produced by O. felineus have average length 403 nm and the length-to-width ratio equals 2.0. The regurgitation of hemozoin from parasitic fluke during infection leads to formation of bile duct ectasia. The active release of hemozoin from O. felineus during in vitro incubation has also been evidenced. It has been shown that the hemozoin knobs can be detected by magnetic resonance imaging. Conclusions In the paper for the first time the characterisation of hemozoin pigment extracted from liver fluke O. felineus has been conducted. The role of hemozoin in the modification of immune response by opisthorchiasis is assumed

Upgrade of the CMS luminosity instrumentation and the Fast Beam Condition Monitor for HL-LHC

The high-luminosity upgrade of the LHC (HL-LHC) brings unprecedented requirements for real-time and precision bunch-by-bunch luminosity measurement and beam-induced background monitoring. A key component of the CMS Beam Radiation Instrumentation and Luminosity (BRIL) system is a stand-alone luminometer, the Fast Beam Condition Monitor (FBCM), which is fully independent of the CMS central timing and control distribution, as well as data acquisition services and able to operate at all times with a triggerless readout. In addition, BRIL exploits measurements from the front-end of various CMS subsystems for luminometry. A brief overview of the BRIL Phase-2 strategy, the instrumentation and approaches to achieve 1\% offline precision for luminosity measurements is given

A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser

We experimentally demonstrate the application of a double deep Q-learning network algorithm (DDQN) for design of a self-starting fiber mode-locked laser. In contrast to the static optimization of a system design, the DDQN reinforcement algorithm is capable of learning the strategy of dynamic adjustment of the cavity parameters. Here, we apply the DDQN algorithm for stable soliton generation in a fiber laser cavity exploiting a nonlinear polarization evolution mechanism. The algorithm learns the hysteresis phenomena that manifest themselves as different pumping-power thresholds for mode-locked regimes for diverse trajectories of adjusting optical pumping

Geochemical Characterization of Natural Groundwater on the Southern Slopes of the Caucasus Mountains on the Russian Black Sea Coast

The Mzymta and Sochi watersheds, located on the southern slopes of the Caucasus Mountains on Russia’s Black Sea coast, are characterized by a remarkably complex geological setting. The predominant rocks are mudstones, siltstones, and shales, with smaller amounts of carbonate and clay-carbonate rocks, and occasionally igneous rocks. The area is also characterized by the occurrence of polymetallic, gold, sulfide, rare metal, and rare-earth mineralizations in addition to hosting a thermal hydrogen sulfide groundwater aquifer. The objective of this study was to determine groundwater genesis patterns in an area with such contrasting geological and hydrogeological structures. Based on the chemical analysis of 33 natural groundwater springs, five chemical types of water were identified dictated by the composition of the host rock as well as the occurrence of mineralizations, seepage of mineralized water, and local geochemical features of the host rock. The high sodium concentration and mineralization of groundwater near the thermal hydrogen sulfide groundwater aquifer are due to the infiltration of seawater. The consistent presence of excessive amounts of rare-earth elements (REEs) in all groundwaters in the area is a reflection of the regional geochemical specialization of the rocks. Groundwater, like the terrestrial components of the natural environment, inherits rare-earth fractionation patterns from the rocks that make up the area. Thus, rare-earth totals and fractionation patterns can be used as a reliable criterion to interpret the regional specificity of groundwater