bluuebunny/crossref_metadata_2025 huggingface dataset:
The Signal Characteristics of Oil and Gas Pipeline Leakage Detection Based on Magneto-Mechanical Effects
Authors: Liu Bin , Ge Qian , Wu Zihan , Lian Zheng , Yang Lijian , Geng Hao
Published: February 2023

In order to solve the problem of the quantification of detection signals in the magnetic flux leakage (MFL) of defective in-service oil and gas pipelines, a non-uniform magnetic charge model was established based on magnetic effects. The distribution patterns of magnetic charges under different stresses were analyzed. The influences of the elastic load and plastic deformation on the characteristic values of MFL signals were quantitatively assessed. The experimental results showed that the magnetic charge density was large at the edges of the defect and small at the center, and approximately decreased linearly with increasing stress. The eigenvalues of the axial and radial components of the MFL signals were compared, and it was found that the eigenvalues of the radial component exhibited a larger decline rate and were more sensitive to stress. With the increase in the plastic deformation, the characteristic values of the MFL signals initially decreased and then increased, and there was an inflection point. The location of the inflection point was associated with the magnetostriction coefficient. Compared with the uniform magnetic charge model, the accuracy of the axial and radial components of the MFL signals in the elastic stage of the improved magnetic charge model rose by 17% and 16%, respectively. The accuracy of the axial and radial components of the MFL signals were elevated by 9.15% and 9%, respectively, in the plastic stage.
Development and Investigation of High-Temperature Ultrasonic Measurement Transducers Resistant to Multiple Heating–Cooling Cycles
Authors: Vaskeliene Vaida , Sliteris Reimondas , Kazys Rymantas Jonas , Zukauskas Egidijus , Mazeika Liudas
Published: February 2023

Usually for non-destructive testing at high temperatures, ultrasonic transducers made of PZT and silver electrodes are used, but this could lead to damage to or malfunction of the ultrasonic transducer due to poor adhesion between PZT and silver. Soldering is one of the most common types of bonding used for individual parts of ultrasonic transducers (protector, backing, matching layer, etc.), but silver should be protected using additional metal layers (copper) due to its solubility in solder. A mathematical modelling could help to predict if an ultrasonic transducer was manufactured well and if it could operate up to 225 °C. The observed von Mises stresses were very high and concentrated in metal layers (silver and copper), which could lead to disbonding under long-term cyclic temperature loads. This paper presents a multilayer ultrasonic transducer (PZT, silver electrodes, copper layers, backing), which was heated evenly from room temperature to 225 °C and then cooled down. In the B-scan, it was observed that the amplitude of the reflected signal from the bottom of the sample decreased with an increase in temperature. However, after six heating–cooling cycles, the results repeated themselves and no signs of fatigue were noticed. This ultrasonic transducer was well manufactured and could be used for non-destructive testing when the environment temperature changes in cycles up to 225 °C.
Path Planning for Unmanned Delivery Robots Based on EWB-GWO Algorithm
Authors: Luo Yuan , Qin Qiong , Hu Zhangfang , Zhang Yi
Published: February 2023

With the rise of robotics within various fields, there has been a significant development in the use of mobile robots. For mobile robots performing unmanned delivery tasks, autonomous robot navigation based on complex environments is particularly important. In this paper, an improved Gray Wolf Optimization (GWO)-based algorithm is proposed to realize the autonomous path planning of mobile robots in complex scenarios. First, the strategy for generating the initial wolf pack of the GWO algorithm is modified by introducing a two-dimensional Tent–Sine coupled chaotic mapping in this paper. This guarantees that the GWO algorithm generates the initial population diversity while improving the randomness between the two-dimensional state variables of the path nodes. Second, by introducing the opposition-based learning method based on the elite strategy, the adaptive nonlinear inertia weight strategy and random wandering law of the Butterfly Optimization Algorithm (BOA), this paper improves the defects of slow convergence speed, low accuracy, and imbalance between global exploration and local mining functions of the GWO algorithm in dealing with high-dimensional complex problems. In this paper, the improved algorithm is named as an EWB-GWO algorithm, where EWB is the abbreviation of three strategies. Finally, this paper enhances the rationalization of the initial population generation of the EWB-GWO algorithm based on the visual-field line detection technique of Bresenham’s line algorithm, reduces the number of iterations of the EWB-GWO algorithm, and decreases the time complexity of the algorithm in dealing with the path planning problem. The simulation results show that the EWB-GWO algorithm is very competitive among metaheuristics of the same type. It also achieves optimal path length measures and smoothness metrics in the path planning experiments.
Recent Progress of Tactile and Force Sensors for Human–Machine Interaction
Authors: Xu Jiandong , Pan Jiong , Cui Tianrui , Zhang Sheng , Yang Yi , Ren Tian-Ling
Published: February 2023

Human–Machine Interface (HMI) plays a key role in the interaction between people and machines, which allows people to easily and intuitively control the machine and immersively experience the virtual world of the meta-universe by virtual reality/augmented reality (VR/AR) technology. Currently, wearable skin-integrated tactile and force sensors are widely used in immersive human–machine interactions due to their ultra-thin, ultra-soft, conformal characteristics. In this paper, the recent progress of tactile and force sensors used in HMI are reviewed, including piezoresistive, capacitive, piezoelectric, triboelectric, and other sensors. Then, this paper discusses how to improve the performance of tactile and force sensors for HMI. Next, this paper summarizes the HMI for dexterous robotic manipulation and VR/AR applications. Finally, this paper summarizes and proposes the future development trend of HMI.
Non-Contact Measurement and Identification Method of Large Flexible Space Structures in Low Characteristic Scenes
Authors: Cheng Tianming , Jiao Xiaolei , Zhang Zeming , Bi Qiang , Wei Cheng
Published: February 2023

The end-operation accuracy of the satellite-borne robotic arm is closely related to the satellite attitude control accuracy, and the influence of the vibration of the satellite’s flexural structure on the satellite attitude control is not negligible. Therefore, a stable and reliable vibration frequency identification method of the satellite flexural structure is needed. Different from the traditional non-contact measurement and identification methods of large flexible space structures based on marker points or edge corner points, the condition of non-marker points relying on texture features can identify more feature points, but there are problems such as low recognition and poor matching of features. Given this, the concept of ‘the comprehensive matching parameter’ of scenes is proposed to describe the scene characteristics of non-contact optical measurement from the two dimensions of recognition and matching. The basic connotation and evaluation index of the concept are also given in the paper. Guided by this theory, the recognition accuracy and matching uniqueness of features can be improved by means of equivalent spatial transformation and novel relative position relationship descriptor. The above problems in non-contact measurement technology can be solved only through algorithm improvement without adding hardware devices. On this basis, the Eigensystem Realization Algorithm (ERA) method is used to obtain the modal parameters of the large flexible space structure. Finally, the effectiveness and superiority of the proposed method are verified by mathematical simulation and ground testing.
“Can Do” vs. “Do Do” in Older Adults: A Cross-Sectional Analysis of Sensor-Derived Physical Activity Patterns
Authors: Adams Michael , Carrascosa Lara , Jansen Carl-Philipp , Ritter Yvonne , Schwenk Michael
Published: February 2023

(1) Background: Identifying groups with a misaligned physical capacity (PC) and physical activity (PA) is potentially relevant for health promotion. Although an important health determinant, deeper knowledge of underlying walking behavior patterns in older adults is currently missing. We aim to identify specific PA signatures of misaligned groups and determine PA variables discriminating between groups. (2) Methods: In total, 294 community-dwelling older adults (≥70 years) were divided into four quadrants based on thresholds for PA (≥ or <5000 steps/day) and PC (≤ or >12 s, Timed Up and Go test). Kruskal–Wallis and effect sizes were calculated to compare quadrants’ PA variables and to determine the discriminative power of PA parameters on walking duration, frequency, and intensity. (3) Results: We identified quadrant-specific PA signatures. Compared with “can do–do do”, the “cannot do–do do” group performs shorter continuous and lower-intensity walks; the “can do–do not do” group takes fewer steps and walks with less intensity. The “cannot do–do not do” group presents lower values in all PA variables. “Walking duration greater or equal 3 METs” was the strongest discriminative PA variable. (4) Conclusion: We provide distinct PA signatures for four clinically different groups of older adults. Walking intensity is most useful to distinguish community-dwelling older adults, which is relevant for developing improved customized health promotion interventions.
Gait Alteration in Individual with Limb Loss: The Role of Inertial Sensors
Authors: Demeco Andrea , Frizziero Antonio , Nuresi Christian , Buccino Giovanni , Pisani Francesco , Martini Chiara , Foresti Ruben , Costantino Cosimo
Published: February 2023

Amputation has a big impact on the functioning of patients, with negative effects on locomotion and dexterity. In this context, inertial measurement units represent a useful tool in clinical practice for motion analysis, and in the development of personalized aids to improve a patient’s function. To date, there is still a gap of knowledge in the scientific literature on the application of inertial sensors in amputee patients. Thus, the aim of this narrative review was to collect the current knowledge on this topic and stimulate the publication of further research. Pubmed, Embase, Scopus, and Cochrane Library publications were screened until November 2022 to identify eligible studies. Out of 444 results, we selected 26 articles focused on movement analysis, risk of falls, energy expenditure, and the development of sensor-integrated prostheses. The results showed that the use of inertial sensors has the potential to improve the quality of life of patients with prostheses, increasing patient safety through the detection of gait alteration; enhancing the socio-occupational reintegration through the development of highly technologic and personalized prosthesis; and by monitoring the patients during daily life to plan a tailored rehabilitation program.
A Mitigation Method for Optical-Turbulence-Induced Errors and Optimal Target Design in Vision-Based Displacement Measurement
Authors: Huang Xingyu , Dai Wujiao , Zhang Yunsheng , Xing Lei , Ye Yichao
Published: February 2023

Computer vision-based displacement measurement techniques are increasingly used for structural health monitoring. However, the vision sensors employed are easily affected by optical turbulence when capturing images of the structure, resulting in displacement measurement errors that significantly reduce the accuracy required in engineering applications. Hence, this paper develops a multi-measurement point method to address this problem by mitigating optical-turbulence errors with spatial randomness. Then, the effectiveness of the proposed method in mitigating optical-turbulence errors is verified by static target experiments, in which the RMSE correction rate can reach up to 82%. Meanwhile, the effects of target size and the number of measurement points on the proposed method are evaluated, and the optimal target design criteria are proposed to improve our method’s performance in mitigating optical-turbulence errors under different measurement conditions. Additionally, extensive dynamic target experiments reveal that the proposed method achieves an RMSE correction rate of 69% after mitigating the optical-turbulence error. The experimental results demonstrate that the proposed method improves the visual displacement measurement accuracy and retains the detailed information of the displacement measurement results.
IEF-CSNET: Information Enhancement and Fusion Network for Compressed Sensing Reconstruction
Authors: Zhou Ziqun , Liu Fengyin , Shen Haibin
Published: February 2023

The rapidly growing requirement for data has put forward Compressed Sensing (CS) to realize low-ratio sampling and to reconstruct complete signals. With the intensive development of Deep Neural Network (DNN) methods, performance in image reconstruction from CS measurements is constantly increasing. Currently, many network structures pay less attention to the relevance of before- and after-stage results and fail to make full use of relevant information in the compressed domain to achieve interblock information fusion and a great receptive field. Additionally, due to multiple resamplings and several forced compressions of information flow, information loss and network structure redundancy inevitably result. Therefore, an Information Enhancement and Fusion Network for CS reconstruction (IEF-CSNET) is proposed in this work, and a Compressed Information Extension (CIE) module is designed to fuse the compressed information in the compressed domain and greatly expand the receptive field. The Error Comprehensive Consideration Enhancement (ECCE) module enhances the error image by incorporating the previous recovered error so that the interlink among the iterations can be utilized for better recovery. In addition, an Iterative Information Flow Enhancement (IIFE) module is further proposed to complete the progressive recovery with loss-less information transmission during the iteration. In summary, the proposed method achieves the best effect, exhibits high robustness at this stage, with the peak signal-to-noise ratio (PSNR) improved by 0.59 dB on average under all test sets and sampling rates, and presents a greatly improved speed compared with the best algorithm.
Leaf-Counting in Monocot Plants Using Deep Regression Models
Authors: Xie Xinyan , Ge Yufeng , Walia Harkamal , Yang Jinliang , Yu Hongfeng
Published: February 2023

Leaf numbers are vital in estimating the yield of crops. Traditional manual leaf-counting is tedious, costly, and an enormous job. Recent convolutional neural network-based approaches achieve promising results for rosette plants. However, there is a lack of effective solutions to tackle leaf counting for monocot plants, such as sorghum and maize. The existing approaches often require substantial training datasets and annotations, thus incurring significant overheads for labeling. Moreover, these approaches can easily fail when leaf structures are occluded in images. To address these issues, we present a new deep neural network-based method that does not require any effort to label leaf structures explicitly and achieves superior performance even with severe leaf occlusions in images. Our method extracts leaf skeletons to gain more topological information and applies augmentation to enhance structural variety in the original images. Then, we feed the combination of original images, derived skeletons, and augmentations into a regression model, transferred from Inception-Resnet-V2, for leaf-counting. We find that leaf tips are important in our regression model through an input modification method and a Grad-CAM method. The superiority of the proposed method is validated via comparison with the existing approaches conducted on a similar dataset. The results show that our method does not only improve the accuracy of leaf-counting, with overlaps and occlusions, but also lower the training cost, with fewer annotations compared to the previous state-of-the-art approaches.The robustness of the proposed method against the noise effect is also verified by removing the environmental noises during the image preprocessing and reducing the effect of the noises introduced by skeletonization, with satisfactory outcomes.
Prediction of Technical State of Mechanical Systems Based on Interpretive Neural Network Model
Authors: Kononov Evgeniy , Klyuev Andrey , Tashkinov Mikhail
Published: February 2023

A classic problem in prognostic and health management (PHM) is the prediction of the remaining useful life (RUL). However, until now, there has been no algorithm presented to achieve perfect performance in this challenge. This study implements a less explored approach: binary classification of the state of mechanical systems at a given forecast horizon. To prove the effectiveness of the proposed approach, tests were conducted on the C-MAPSS sample dataset. The obtained results demonstrate the achievement of an almost maximal performance threshold. The explainability of artificial intelligence (XAI) using the SHAP (Shapley Additive Explanations) feature contribution estimation method for classification models trained on data with and without a sliding window technique is also investigated.
Distributed Rule-Enabled Interworking Architecture Based on the Transparent Rule Proxy in Heterogeneous IoT Networks
Authors: Jin Wenquan , Kim Dohyeun
Published: February 2023

Rule-enabled Internet of Things (IoT) systems operate autonomous and dynamic service scenarios through real-time events and actions based on deployed rules. For handling the increasing events and actions in the IoT networks, the computational ability can be distributed and deployed to the edge of networks. However, operating a consistent rule to provide the same service scenario in heterogeneous IoT networks is difficult because of the difference in the protocols and rule models. In this paper, we propose a transparent rule deployment approach based on the rule translator by integrating the interworking proxy to IoT platforms for operating consistent service scenarios in heterogeneous IoT networks. The rule-enabled IoT architecture is proposed to provide functional blocks in the layers of the client, rule service, IoT service, and device. Additionally, the interworking proxy is used for translating and transferring rules between IoT platforms in different IoT networks. Based on the interactions between the IoT platforms, the same service scenarios are operated in the IoT environment. Moreover, the integrated interworking proxy enables the heterogeneity of IoT frameworks in the IoT platform. Therefore, rules are deployed on IoT platforms transparently, and consistent rules are operated in heterogeneous IoT networks without considering the underlying IoT frameworks.
Brickognize: Applying Photo-Realistic Image Synthesis for Lego Bricks Recognition with Limited Data
Authors: Vidal Joel , Vallicrosa Guillem , Martí Robert , Barnada Marc
Published: February 2023

During the last few years, supervised deep convolutional neural networks have become the state-of-the-art for image recognition tasks. Nevertheless, their performance is severely linked to the amount and quality of the training data. Acquiring and labeling data is a major challenge that limits their expansion to new applications, especially with limited data. Recognition of Lego bricks is a clear example of a real-world deep learning application that has been limited by the difficulties associated with data gathering and training. In this work, photo-realistic image synthesis and few-shot fine-tuning are proposed to overcome limited data in the context of Lego bricks recognition. Using synthetic images and a limited set of 20 real-world images from a controlled environment, the proposed system is evaluated on controlled and uncontrolled real-world testing datasets. Results show the good performance of the synthetically generated data and how limited data from a controlled domain can be successfully used for the few-shot fine-tuning of the synthetic training without a perceptible narrowing of its domain. Obtained results reach an AP50 value of 91.33% for uncontrolled scenarios and 98.7% for controlled ones.
Identifying Flow Patterns in a Narrow Channel via Feature Extraction of Conductivity Measurements with a Support Vector Machine
Authors: Yang Kai , Liu Jiajia , Wang Min , Wang Hua , Xiao Qingtai
Published: February 2023

In this work, a visualization experiment for rectangular channels was carried out to explore gas–liquid two-phase flow characteristics. Typical flow patterns, including bubble, elastic and mixed flows, were captured by direct imaging technology and the corresponding measurements with fluctuation characteristics were recorded by using an electrical conductivity sensor. Time-domain and frequency-domain characteristics of the corresponding electrical conductivity measurements of each flow pattern were analyzed with a probability density function and a power spectral density curve. The results showed that the feature vectors can be constructed to reflect the time–frequency characteristics of conductivity measurements successfully by introducing the quantized characteristic parameters, including the maximum power of the frequency, the standard deviation of the power spectral density, and the range of the power distribution. Furthermore, the overall recognition rate of the four flow patterns measured by the method was 93.33% based on the support vector machine, and the intelligent two-phase flow-pattern identification method can provide a new technical support for the online recognition of gas–liquid two-phase flow patterns in rectangular channels. It may thus be concluded that this method should be of great significance to ensure the safe and efficient operation of relevant industrial production systems.
Non-Contact Thermometer for Improved Air Temperature Measurements
Authors: Pisani Marco , Astrua Milena , Merlone Andrea
Published: February 2023

A compact thermometer for air temperature based on the measurement of the speed of sound was developed at INRIM. This paper focuses on the comparison of this instrument with platinum resistance thermometers in a climatic chamber over a temperature range (−30 ÷ +55) °C, relative humidity (10 ÷ 90)%rh, and irradiation (>1 kW/m2) values similar to those of surface atmospheric conditions. Overall uncertainty values of 0.2 °C over the range from −30 °C to +30 °C, and from 0.6 °C to +55 °C, were found. Moreover, the instrument proved to be immune to irradiation errors and free from the need for temperature calibration.
Just Suspended Speed Simulation in Torus Reactor Using Multiple Non-Linear Regression Model
Authors: Sayah Houssem Eddine , Alouache Ali , Annad Mohamed , Lefkir Abdelouahab , Nouri L’hadi , Selatnia Ammar , Messaoudi Mohammed
Published: February 2023

In the chemical and water treatment industries, it is necessary to achieve maximum contact between the solid and liquid phase, thus promoting the mass and heat transfer, to obtain a homogeneous solution. Increasing stirring speed is the most recommended solution in different types of reactors: stirred tank, column, and tubular. However, this inadvertently increases the energy consumption of the industry. Determination of the minimum speed, labeled the just suspended speed (Njs) and crucial to attaining homogeneity, has been widely investigated. Numerous studies have been carried out to assess formulas for determining the solid particle speed in various reactor types. Given the limitations of the existing formulations based on a generalization of a unique equation for computing Njs for all soil classifications, it appears that most formulas can only approximate complex phenomena that depend on several parameters. A novel formula was developed, and the results given in this paper demonstrate the effectiveness of generating significant uncertainties for the estimation of Njs. The purpose of this study was the elaboration of experiment-based data-driven formulas to calculate Njs for different particle size classes. Nonlinear multiple regression (MNLR) models were used to generate the new formulas. The gradient descent optimization algorithm was employed to solve the hyperparameters of each novel equation, utilizing supervised learning. A comparison of the data indicated that the unique formulas presented in this study outperformed empirical formulas and provide a useful means for lowering energy consumption, while increasing the heat and mass transfer in torus type reactors.
Concomitant Severe Psoriasis and Bullous Pemphigoid Induced by COVID-19
Authors: Martora Fabrizio , Battista Teresa , Fabbrocini Gabriella , Megna Matteo
Published: February 2023

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first isolated in Wuhan, China, is currently a pandemic. At the beginning of the pandemic, pulmonary issues were the most discussed and studied. However, now 3 years later, the role of the dermatologist has become increasingly central. Often the diversity in the presentation of these manifestations has made it difficult for the dermatologist to recognize them. In addition to the common symptoms involving fever, cough, dyspnea, and hypogeusia/hyposmia that have been widely discussed in the literature, much attention has been paid to dermatologic manifestations in the past year. The vaccination campaign has been the most important strategy to combat the COVID-19 pandemic. Specifically, two viral vector-based vaccines [Vaxzervria® (AstraZeneca; AZD1222) and COVID-19 Janssen® vaccine (Johnson & Johnson; Ad26.COV2. S)] and two mRNA-based vaccines [Comirnaty® (Pfizer/BioNTech; BNT162b2) and Spikevax® (Moderna; mRNA-1273)]. However, several cutaneous adverse reactions have been reported following vaccination, making the dermatologist’s role critical. It is possible to group these adverse reactions according to a classification with six main clinical pictures: urticarial rash, erythematous/maculopapular/morbid rash, papulovesicular rash, chilblain-like acral pattern, livedo reticularis/racemose-like, and purpuric “vasculitic” pattern. Beyond this classification, there are several reports of other dermatologic manifestations associated with the infection, such as pityriasis rosea, herpes zoster, or, particularly, the worsening of pre-existing chronic inflammatory dermatologic diseases. Here we report the case of a 61-year-old patient who presented at our clinic with a diffuse psoriasiform eruption mixed with a concomitant blistering rash induced by COVID-19. The uniqueness of our case has two features: the first is the concomitance of the two events after infection that seems to be unprecedented; the second is the management of the patient that could help dermatology colleagues in the management of these conditions during infection.
Horses’ Tactile Reactivity Differs According to the Type of Work: The Example of Equine-Assisted Intervention
Authors: Rochais Céline , Lerch Noémie , Gueguen Léa , Schmidlin Margaux , Bonamy Ombeline , Grandgeorge Marine , Hausberger Martine
Published: February 2023

Tactile perception in humans varies between individuals and could depend on extrinsic factors such as working activity. In animals, there is no study relating the influence of animals’ work and their tactile reactivity per se. We investigated horses’ tactile reactivity using von Frey filament in different body areas and compared horses working only in equine-assisted interventions (EAI), in riding school (RS) lessons, and in both activities (EAI-RS). We further compared tactile actions by people with or without mental and/or developmental disorders during brushing sessions. The results indicated that EAI horses showed higher tactile reactivity compared to EAI-RS and RS horses, both in terms of number of reactions overall, and especially when the test involved thin filaments. All horses showed high tactile reactivity when tested on the stifle, and this was particularly true for EAI horses. These differences could be related to humans’ actions, as participants diagnosed with disorders brushed more the hindquarters and showed more fragmented actions. This study opens new lines of thought on the influence of EAI working activity on horses’ tactile reactivity, and hence, on horses’ sensory perception. Tactile reactivity outside work, may be directly (via tactile stimulations) or indirectly (via the welfare state), influenced by working conditions.
On the 95th anniversary of the birth of the member of the Russian Academy of Sciences Volya Georgievna Artamonova, an outstanding Russian occupational pathologist
Authors:   FSBEI HE Samara State Medical University of the Ministry of Health of Russia, Babanov S. A. ,   Regional Center for Occupational Pathology, Samara Medical and Sanitary Unit No. 5
Published: February 2023

The article presents the materials about the life and work of the outstanding Russian occupational pathologist V. G. Artamonova. V. G. Artamonova is the author of original works on the study of various aspects of the impact of electromagnetic waves on workers’ bodies. In addition, the subject of V. G. Artamonova’s cre ative activity was the development of issues of occupational pathology of the bronchopulmonary apparatus in workers exposed to organic dust. These works have played an important role in the development of modern ideas about the etiopathogenesis of occupational bronchial asthma under the influence of biological factors with a high sensitizing ability, as well as in the development of prevention and therapy measures.
Substantiation of the use of physiotherapeutic effects for the correction of colonization resistance disorders and factors of anti-infective protection of the body. Lecture
Authors:   Medical Institute, Federal State Autonomous Educational Institution of Higher Education «Peoples' Friendship University of Russia», Moscow, Russia, Gizinger O. A.
Published: February 2023

The literature review presents the results of studies by Russian and foreign authors on the problem of the complex use of physiotherapy in the treatment of inflammatory diseases of various origins. It is shown that the use of a low-intensity laser has a normalizing effect on the factors of systemic and local antimicrobial protection.
Why does an ethnographer need a story?
Authors:   National Academy of Sciences of the Republic of Armenia, Department of Modern Ethnology of the Institute of Archeology and Ethnography of the National Academy of Sciences, Department of Archeology and Ethnography of Yerevan State University, Abramyan L.A.
Published: February 2023

continuation of the discussion on the scientific and cultural status of storytelling that began in #11 last year. Today, a professional ethnographer and ethnologist, professor at the Department of Archeology and Ethnography at Yerevan State University, visiting professor at the University of California at Berkeley, co-author of the method of mask therapy, consultant at the Institute of Mask Therapy, expresses his position.
Cultural experiences with narratives
Authors:   filmmaker, independent researcher (Armenia), Virapyan Ed.G.
Published: February 2023

Psell. Offering to the emperor. Stone. Joke. Georgy Ivanov. Russia. Message to the ethnographer Levon Abrahamyan with a narrative metaphor by Eduard Virapyan. Thomas Mann. A letter from a stranger. Andrey Platonov.
Image Classification of Covid-19 Pneumonia Based on Mask-EfficientNet
Authors: Xu Xiao , Wang Wu , Xu Quanfeng
Published: February 2023

Novel coronavirus is a serious disease-causing virus which spreads through the air, such a highly contagious virus will cause great harm to the body after disease. After the Novel coronavirus infects someone, viruses hidden in the body will spread rapidly and widely in the population as the carrier moves, that cause catastrophic consequences. Therefore, how to quickly detect the infection of novel coronary pneumonia has become an urgent issue. Analysing the lung image of Computed Tomography (CT) is an important method to accurately detect whether people is infected by novel coronavirus in medical practice. In this paper, firstly, we use the binarized features of the novel coronary pneumonia image, and then use the features of histogram and mask as additional features, finally we design an improved network based on Efficient-Net. Through comparative experiments with other mainstream Convolutional Neural Network(CNN) networks, it is found that the model proposed in this paper reduces the parameters of the model and improves the detection accuracy.
INNOVATION RISK MANAGEMENT IN RUSSIA AND ABROAD
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Gordina V.V. , Ivanov E.I. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Grafina O.I. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev»
Published: February 2023

The article examines the essence of innovative risk, types of risks of innovation, methods of risk management of innovation, as well as the possibility of assessing and minimizing risk in the implementation of innovative projects at enterprises and organizations. The examples of innovative risk management in the largest companies, both in Russia and abroad, are considered. Proposals have been developed for organizing a risk management system in the implementation of innovative activities in organizations.
ANALYSIS OF FOOD PRODUCTION IN RUSSIA: SECTORAL STRUCTURE, REGIONAL LOCATION, INTER-SECTORAL SUPPLIES
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Mashkova A.L. , Savina O.A. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Dukhi Natisha ,   Human Sciences Research Council, Nevolin I.V. ,   CEMI RAS
Published: February 2023

The article analyzes the sectoral structure of food production in the regions of Russia. Official input-output tables and data from the SPARK-Interfax information system are used as sources of initial information. 20 industries producing food are distinguished, the structure of their inter-sectoral supplies and distribution of sales between domestic and foreign buyers are analyzed. An algorithm for creating aggregated organizations – producers is presented aimed at reflecting processes of food production in the agent-based model. Information on the created aggregated organizations for a number of regions of the Central Federal District is provided.
MODERN TOOLS FOR MANAGING ACCOUNTS RECEIVABLE
Authors:   Moscow Witte University, Gavrilova E.N.
Published: February 2023

The relevance of the chosen research topic lies in the fact that the liquidity and solvency of the enterprise depends on the effectiveness of accounts receivable management. The most important role in the system of accounts receivable management is played by methods of controlling the repayment of existing liabilities by debtors and tools for managing accounts receivable. Rational management of accounts receivable opens up the possibilities of the enterprise in the field of investment attractiveness, which further contributes to the development of the enterprise and increases the level of competitiveness in the foreign market of its activities.
CRYPTOCURRENCY RUBLE AND CUSTOMS CURRENCY REGULATION
Authors:   Omsk State University of Railway Transport, Barynkina N.P. , Suprunova E.A. ,   Omsk State University of Railway Transport, Boyko K.I. ,   Omsk State University of Railway Transport
Published: February 2023

The article outlines the essence of cryptocurrency and token as the most common digital currency. Arguments are given for the inevitability of the appearance of a state digital currency and the importance of legal regulation of a new form of money, as well as changes in the activities of customs services, is noted.
FUNDAMENTALS OF THE FINANCIAL CONTROL SYSTEM IN THE ACTIVITIES OF MUNICIPAL ENTITIES
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Alimov S.A.
Published: February 2023

The article discusses the theoretical foundations of building a financial control system at the level of municipalities, provides varieties of control in the economic sphere and a scheme of structural differences between these concepts. In addition, the structure of the system of bodies exercising state (municipal) financial control and methods of its implementation is presented, as well as the approximate content of the plan of control measures is reflected.
THE IMPACT OF THE DEVELOPMENT OF DIGITAL HUMAN CAPITAL ON THE LABOR MARKET
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Efremova S.M. , Skoblyakova I.V. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev»
Published: February 2023

The purpose of the study is to establish the features of the formation and impact of digital human capital on the labor market. Scientific novelty - the author's definition of "digital human capital" is proposed, a model for the formation of digital human capital is presented as a component of the total set of the individual's resource potential, the most significant universal competencies in the formation of digital human capital are systematized and the level of their demand in the labor market is assessed. It has been established that digital competencies, in the general set of universal competencies, allow their bearer to perform unique tasks in the modern economic environment, form his competitive position, a high level of income and create the basis for continuous professional and personal growth. The results of the study made it possible to identify problem areas in the use of digital human capital in the modern economic space and to develop proposals to ensure the growth of the efficiency of its formation and development.
DIRECTIONS OF DEVELOPMENT OF THE CUSTOMS SERVICES MANAGEMENT SYSTEM ON THE PRINCIPLES OF MARKETING
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Kuprina I.V. , Novikova E.V. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev»
Published: February 2023

The issues related to the development of the customs services management system based on the principles of marketing are touched upon. The problems of ensuring security and promoting international trade are being studied. The marketing approach of customs services management is characterized, first of all, as a market-oriented system.
MECHANISMS FOR REALIZING THE INVESTMENT POTENTIAL OF THE OREL REGION BASED ON THE PLACEMENT OF HIGH-TECH COMPANIES IN THE PREFERENTIAL ZONES OF THE REGION
Authors:   Federal State Budgetary Educational Institution of Higher Education «Financial University under the Government of the Russian Federation», Zhukovsky A.D.
Published: February 2023

This article is devoted to the role of high-tech companies in enhancing the investment attractiveness and business climate of the Orel region on the background of new challenges facing the economy of Russia and the world. In this article the author has carried out a number of tasks: reviewed from a theoretical point of view the main parameters that influence the level of investment attractiveness and business activity in the region, demonstrated the analysis of current mechanisms of increasing investment attractiveness by placing high-tech companies in preferential zones of the Orel region and other Russian regions. Activities aimed at promoting high-tech companies placement in regions of Russia become the most relevant The key role of state support in planning of high-tech companies location and implementation of major investment projects in the Orel region on their basis is underlined.
THE ROLE OF THE ANALYTICAL COMPONENT IN FORMING THE FINANCIAL STRATEGY OF THE CORPORATION
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Korostelkina I.A. , Monashova A.A. ,   Frank RG Company
Published: February 2023

This article defines the role of the analytical role in the profits of financial corporations. Proposal for the analysis of the conceptual mechanism and theoretical characteristics of the financial strategy: functions, tasks, substantiation, development stages. Special stage of analytical management of financial strategy. PJSC Gazprom reviews analysis of financial statistics and identification of the role of analysis of indicators of financial stability and solvency in its indicators.
EVALUATION AND DISCOVERY OF THE REPRODUCTION CYCLE OF HEALTH CAPITAL IN MODERN CONDITIONS OF ECONOMIC DEVELOPMENT
Authors:   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Skoblyakova I.V. , Efremova S.M. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev», Stetsenko A.V. ,   Federal State Budgetary Educational Institution of Higher Education «Orel State University named after I.S. Turgenev»
Published: February 2023

In the conditions of the modern innovative business environment, a person and his intellectual and physical potential affect the dynamics of many economic processes. In a general sense, most economists combine the designated component into a single category - health, on which the activity, education and professional development of its carrier depend. The formed health capital acts today as the foundation for the development of the human capital of the individual and the entire nation, respectively, its constant reproduction of vital is necessary for the economy of any country. Reproduction of health capital is, first of all, an investment process that has a cyclical-wave character, starting from the initiation stage and ending with the process of evaluating the result obtained. Such an approach to assessing the cycle of reproduction of health capital requires the development of a system of indicators for its assessment at each stage of its formation. The article substantiates the application of the concept of a cyclic-wave approach to the study and analysis of health capital and suggests a methodological approach that allows you to cover each stage of the life cycle of reproduction of health capital, to evaluate it, both at the stage of investment and at the stage of their payback. The novelty of the presented article consists in the systematization of groups of indicators of health capital, which allow to identify and evaluate the stages of reproduction of the life cycle of health capital. The practical approbation of the author's approach to the assessment and identification of the life cycle of health capital is based on the example of the assessment of the target indicators of the Russian economy. As a general result of the study, the advantages of the proposed methodological approach are identified, priority directions of socio-economic policy in the field of reproduction of health capital are identified.
The phenomenon of documentary theater and its influence on the theater culture of Ukraine
Authors:   Mariupol State University, Demidko Olha
Published: February 2023

In scientific work it is determined that modern theatrical art needs new forms and directions. It is proved that documentary theater meets the challenges of today. Both the history of documentary theater and its main theoretical principles are analyzed. The relevance of documentary performances for Ukrainian society is substantiated. The main features of documentary performances in Ukraine, their subject matter and orientation are revealed. The performances raised the topics of bullying, school problems, war, attitude to the older generation and the political situation in the country. It is established that in the documentary theater there is no place for fiction and interpretation, because the director has a task to show the world around him real, based only on specific events and remarks of their eyewitnesses. Documentary theater is a constant search in the field of art, ethical and aesthetic, form, social and political contexts. In such a theater, everything depends on the project, the specific work. There is, of course, the director's idea that the playwright works for, but in the last few years, the playwright has often worked on an equal footing with the director, choreographer, and composer - horizontal connections, communication and discussion of ideas from which the play is born. This type of art is characterized by political and social orientation. Documentary theater is characterized by discussions after the performance, during which the audience and actors exchange personal observations and impressions of what they saw on stage. Such interactivity allows completely different people to talk to each other and jointly comprehend their identity. The use of ready-made documentary performances during the study of culturological disciplines is offered. It is concluded that documentary theater has gained popularity at the turn of XX-XXI centuries. Today it is on the border of art and social projects. Thanks to such performances, it is possible to raise topical issues and touch the most painful points
The features of the representation of ukrainian identity on author's YouTube -channels
Authors:   Kharkiv State Academy of Culture, Kysliuk Konstiantyn
Published: February 2023

In the article has been identified five features of the representation of Ukrainian identity on the author's YouTube channels as social media. The broad culturological context of the studied phenomenon has been shown, in which the tendency to Ukrainianization of public consciousness under the influence of demographic factors and state cultural policy intersects with globalization and cosmopolitanization of social medias. In the article has been made the qualitative content analysis of the videos, sounds, texts, comments on author's Youtube-channels from Ukraine with more than 100 k subscribers in: a) the most popular trends and individual videos in the Ukrainian segment of YouTube from the official Google blog; b) TOP-100 Ukrainian YouTube channels according to the company Social Blad; e) all thematic sections of specific Ukrainian-language content, organized by the TiDiva project (https://tydyvy.com). Certain combinations of the visual and textual markers has been correlated which one of three levels – civil-political, linguistic-cultural or ethnonational of Ukrainian identity, in classical sense of the self-association with a particular community. The main tags of identity — video titles, special channel logo and screensaver (yellow and blue colors, national symbols) on YouTube video have been definited. The language has been called as not a self-sufficient indicator of Ukrainian identity. Examples of successful functioning of these indicators on Ukrainian-language channels related to culture are demonstrated. It has been shown that the headline / language / logo combination was not required for socio-political channels, as they were translators of the formal civic identity of a wide range of Ukrainians, as evidenced by comments to their videos. It has been studied that the ethno-national identity, centered around the slogan «Ukraine above all», did not work as a brand and had not a mass support of the audience on the author's channels. The problem of evasion of top channels from the obvious connection with Ukraine has been emphasized.