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The article presents the results of a study of the ultrasonic drying process which is a promising way to intensify the process of moisture removal at low temperatures. An experimental stand was developed for the research. The stand is an ultrasonic dryer with automatic maintenance of the set temperature. A flexural-oscillating disk radiator was used as a source of ultrasonic action. The conducted studies have shown that changing the speed of the drying agent from 0.1 m/s to 0.2 m/s during convective drying can slightly reduce the drying time from 100 minutes to 90 minutes (10%). Change of the speed of the drying agent from 0.1 m/s to 0.2 m/s allows reducing the drying time by 10 minutes, from 80 minutes to 70 minutes with ultrasonic action. Due to the ultrasonic exposure at a drying agent speed of 0.2 m/s, the drying time is reduced from 90 minutes to 70 minutes. At a drying agent temperature of 400C, the drying time is reduced by 25% due to ultrasonic exposure (from 160 minutes to 120 minutes).

The article focuses on the research of processes of summation of ultrasonic vibrations of individual Langevin transducers symmetrically arranged on a common summator. This design could be used to solve the problem of increasing the power of a high-frequency ultrasonic radiator by means of the summation of the vibrations of individual Langevin transducers. The results of the presented theoretical and experimental investigations supported the possibility of summation of symmetrical diametrical vibrations when they are transformed into longitudinal vibrations. As a result, a new design scheme for high-frequency radiator construction was developed that provides symmetry and uniformity of vibration amplitude distribution of piezoceramic elements. This made it possible to eliminate the damage of piezoceramic elements. The article establishes that an acoustic power (continuous mode) of 1450 W at an efficiency of 78% is achieved when the vibrations from 9 to 11 of symmetrically arranged Langevin transducers at a resonant frequency of 30.05 kHz with an amplitude of 26 µm are summed. The use of this ultrasonic high-frequency radiator with increased power will provide intensification of processes in various areas of industry.

In this paper we consider the heat transfer properties of the axially symmetric body with parabolic shape at hypersonic speeds (with a Mach number M > 5). We use the numerical methods based on the implicit difference scheme (Fedorenko method) with direct method based on LU-decomposition and iterative method based on the Gauss-Seigel method. Our numerical results show that the heat removing process should be performed in accordance with the nonlinear law of heat distribution over the surface taking into account the hypersonic conditions of motion.

The article presents various types of emitter designs and schemes of emitting surfaces for the formation of ultrasonic fields with different characteristics and directivity. 4 types of emitters have been developed and their main characteristics have been determined. It has been established that a radiator with a flat frontal surface provides 167 dB and makes it possible to intensify a number of technological processes in the near zone (up to 1 meter), such as coagulation and drying. An emitter with a step-variable surface and predominant radiation of one phase of oscillations makes it possible to create a homogeneous ultrasonic field in the air at a sound pressure level of 155-157 dB at a distance of up to 2 meters to the emitter. Focusing radiators allow to provide sound pressure level up to 173 - 177 dB in the focus (at a distance of 0.3 m), while in the far zone the intensity drops significantly (up to 145-150 dB).

Parkinson’s disease (PD) therapy is challenged by the multifactorial nature of neurodegeneration, necessitating an approach combining dopamine replenishment and combating oxidative stress. This study characterizes the neuroprotective potential of MQPD, a novel hybrid molecule containing dopamine with a quinone fragment structurally analogous to coenzyme Q. We evaluated MQPD’s antioxidant capacity in vitro using DPPH radical scavenging and lipid peroxidation assays, its neuroprotective efficacy against mitochondrial toxins (rotenone, paraquat) in neuronal cultures, and its ability to modulate striatal dopamine levels in mice. MQPD demonstrated significant antioxidant activity, reduced reactive oxygen species, and was more effective than dopamine or L-DOPA in mitigating toxin-induced cell death. While MQPD itself showed low brain bioavailability, its administration resulted in a sustained increase in striatal dopamine levels for up to four days. The results indicate that MQPD is a potent neuroprotective agent whose effects are likely mediated by direct antioxidant activity and a long-acting mechanism that stabilizes tissue dopamine levels, offering a promising alternative to current therapies for PD.

Potato (Solanum tuberosum L.) is one of the main non-grain agricultural crops and one of the main sources of food for humanity. Currently, growing potatoes requires new approaches and methods for cultivation and breeding. Phenotyping is one of the important tools for assessing the characteristics of a potato variety. In this work, 29 potato varieties of different ripeness groups were studied. Linear leaf dimensions, leaf mass area, number of stems, number of tubers per plant, average tuber weight, signs of virus infection, dry weight, pigment content, and number of stomata per unit leaf area were used as phenotyping tools. The strongest positive relationship was found between yield and bush area in the stage of full shoots (R = 0.77, p = 0.001), linear dimensions of a complex leaf (R = 0.44, p = 0.002; R = 0.40, p = 0.003), number of stems (R = 0.36, p = 0.05), and resistance to viruses X (R = 0.42, p = 0.03) and S (R = 0.43, p = 0.02). An inverse relationship was found between growth dynamics and yield (R = −0.29, p = 0.05). Thus, the use of morphological and physiological phenotyping tools in the field is informative for predicting key agricultural characteristics such as yield and/or stress resistance.

In this paper we present a novel approach to risk assessment for patients hospitalized with pneumonia or COVID-19 based on their admission reports. We applied a Longformer neural network to admission reports and other textual data available shortly after admission to compute risk scores for the patients. We used patient data of multiple European hospitals to demonstrate that our approach outperforms the Transformer baselines. Our experiments show that the proposed model generalises across institutions and diagnoses. Also, our method has several other advantages described in the paper.

Complementary idempotent paravectors and their ordered compositions, are used to represent multivector basis elements of geometric Clifford algebra for 3D Euclidean space as the states of a geometric byte in a given frame of reference. Two layers of information, available in real numbers, are distinguished. The first layer is a continuous one. It is used to identify spatial orientations of similar geometric objects in the same computational basis. The second layer is a binary one. It is used to manipulate with 8D structure elements inside the computational basis itself. An oriented unit cube representation, rather than a matrix one, is used to visualize an inner structure of basis multivectors. Both layers of information are used to describe unitary operations -- reflections and rotations -- in Euclidian and Hilbert spaces. The results are compared with ones for quantum gates. Some consequences for quantum and classical information technologies are discussed.