bluuebunny/crossref_metadata_2025 huggingface dataset:
Biochar Coating Is a Sustainable and Economical Approach to Promote Seed Coating Technology, Seed Germination, Plant Performance, and Soil Health
Authors: Zhang Kangkang , Khan Zaid , Yu Qing , Qu Zhaojie , Liu Jiahuan , Luo Tao , Zhu Kunmiao , Bi Junguo , Hu Liyong , Luo Lijun
Published: October 2022

Seed germination and stand establishment are the first steps of crop growth and development. However, low seed vigor, improper seedbed preparation, unfavorable climate, and the occurrence of pests and diseases reduces the germination rate and seedling quality, resulting in insufficient crop populations and undesirable plant growth. Seed coating is an effective method that is being developed and applied in modern agriculture. It has many functions, such as improving seed vigor, promoting seedling growth, and reducing the occurrence of pests and diseases. Yet, during seed coating procedures, several factors, such as difficulty in biodegradation of coating materials and hindrance in the application of chemical ingredients to seeds, force us to explore reliable and efficient coating formulations. Biochar, as a novel material, may be expected to enhance seed germination and seedling establishment, simultaneously ensuring agricultural sustainability, environment, and food safety. Recently, biochar-based seed coating has gained much interest due to biochar possessing high porosity and water holding capacity, as well as wealthy nutrients, and has been proven to be a beneficial agent in seed coating formulations. This review presents an extensive overview on the history, methods, and coating agents of seed coating. Additionally, biochar, as a promising seed coating agent, is also synthesized on its physico-chemical properties. Combining seed coating with biochar, we discussed in detail the agricultural applications of biochar-based seed coating, such as the promotion of seed germination and stand establishment, the improvement of plant growth and nutrition, suitable carriers for microbial inoculants, and increase in herbicide selectivity. Therefore, this paper could be a good source of information on the current advance and future perspectives of biochar-based seed coating for modern agriculture.
Rapid Identification of Paeoniae Radix and Moutan Radicis Cortex Using a SCAR Marker-Based Conventional PCR Assay
Authors: Kim Wook Jin , Noh Sumin , Choi Goya , Moon Byeong Cheol
Published: October 2022

Paeoniae Radix is a herbal medicine prepared from the dried roots of Paeonia lactiflora, P. anomala subsp. veitchii, and P. japonica. Although the herbal medicines prepared from these species are morphologically similar, they have different pharmacological effects depending on how they are processed. In addition, P. japonica is more expensive than other Paeonia spp. in the Korean herbal market. Although there is a clear difference between the Korean and Chinese pharmacopeias of Paeoniae Radix, the processed roots of P. lactiflora and P. anomala subsp. veitchii are commonly used indiscriminately in the herbal market. Moreover, Paeonia suffruticosa, an allied genus of P. lactiflora, is prescribed as Moutan Radicis Cortex. Therefore, accurate taxonomic identification of plant species is vital for quality assurance. A genetic assay is a reliable tool for accurately discriminating species in processed herbal medicines. To develop a genetic assay for the identification of four Paeonia species (P. lactiflora, P. anomala subsp. veitchii, P. japonica, and P. suffruticosa), we analyzed the sequences of two DNA barcoding regions, internal transcribed spacer and rbcL. A conventional PCR assay was established in this study for simple and rapid species identification using sequence characterized amplified region (SCAR) markers based on arbitrary nucleotide-containing primers. This assay was verified to be species specific and highly sensitive and could be applied to Paeonia species identification at an affordable rate.
AIE-YOLO: Auxiliary Information Enhanced YOLO for Small Object Detection
Authors: Yan Bingnan , Li Jiaxin , Yang Zhaozhao , Zhang Xinpeng , Hao Xiaolong
Published: October 2022

Small object detection is one of the key challenges in the current computer vision field due to the low amount of information carried and the information loss caused by feature extraction. You Only Look Once v5 (YOLOv5) adopts the Path Aggregation Network to alleviate the problem of information loss, but it cannot restore the information that has been lost. To this end, an auxiliary information-enhanced YOLO is proposed to improve the sensitivity and detection performance of YOLOv5 to small objects. Firstly, a context enhancement module containing a receptive field size of 21×21 is proposed, which captures the global and local information of the image by fusing multi-scale receptive fields, and introduces an attention branch to enhance the expressive ability of key features and suppress background noise. To further enhance the feature expression ability of small objects, we introduce the high- and low-frequency information decomposed by wavelet transform into PANet to participate in multi-scale feature fusion, so as to solve the problem that the features of small objects gradually disappear after multiple downsampling and pooling operations. Experiments on the challenging dataset Tsinghua–Tencent 100 K show that the mean average precision of the proposed model is 9.5% higher than that of the original YOLOv5 while maintaining the real-time speed, which is better than the mainstream object detection models.
Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization
Authors: Kutlimuratov Alpamis , Abdusalomov Akmalbek Bobomirzaevich , Oteniyazov Rashid , Mirzakhalilov Sanjar , Whangbo Taeg Keun
Published: October 2022

E-commerce systems experience poor quality of performance when the number of records in the customer database increases due to the gradual growth of customers and products. Applying implicit hidden features into the recommender system (RS) plays an important role in enhancing its performance due to the original dataset’s sparseness. In particular, we can comprehend the relationship between products and customers by analyzing the hierarchically expressed hidden implicit features of them. Furthermore, the effectiveness of rating prediction and system customization increases when the customer-added tag information is combined with hierarchically structured hidden implicit features. For these reasons, we concentrate on early grouping of comparable customers using the clustering technique as a first step, and then, we further enhance the efficacy of recommendations by obtaining implicit hidden features and combining them via customer’s tag information, which regularizes the deep-factorization procedure. The idea behind the proposed method was to cluster customers early via a customer rating matrix and deeply factorize a basic WNMF (weighted nonnegative matrix factorization) model to generate customers preference’s hierarchically structured hidden implicit features and product characteristics in each cluster, which reveals a deep relationship between them and regularizes the prediction procedure via an auxiliary parameter (tag information). The testimonies and empirical findings supported the viability of the proposed approach. Especially, MAE of the rating prediction was 0.8011 with 60% training dataset size, while the error rate was equal to 0.7965 with 80% training dataset size. Moreover, MAE rates were 0.8781 and 0.9046 in new 50 and 100 customer cold-start scenarios, respectively. The proposed model outperformed other baseline models that independently employed the major properties of customers, products, or tags in the prediction process.
agroString: Visibility and Provenance through a Private Blockchain Platform for Agricultural Dispense towards Consumers
Authors: Vangipuram Sukrutha L. T. , Mohanty Saraju P. , Kougianos Elias , Ray Chittaranjan
Published: October 2022

It is a known fact that large quantities of farm and meat products rot and are wasted if correct actions are not taken, which may lead to serious health issues if consumed. There is no proper system for tracking and communicating the status of the goods to their respective stakeholders in a secure way. Consumers have every right to know the quality of the products they consume. Using monitoring tools, such as the Internet of Agricultural Things (IoAT), and modern data protection techniques for storing and sharing, will help mitigate data integrity issues during the transmission of sensor records, increasing the data quality. The visibility state at the customer end is also improved, and they are aware of the agricultural product’s conditions throughout the real-time distribution process. In this paper, we developed and implemented a CorDapp application to manage the data for the supply chain, called “agroString”. We collected the temperature and humidity data using IoAT-Edge devices and various datasets from multiple sources. We then sent those readings to the CorDapp agroString and successfully shared them among the relevant parties. With the help of a Corda private blockchain, we attempted to increase data integrity, trust, visibility, provenance, and quality at each logistic step, while decreasing blockchain and central system limitations.
AI-Generated Face Image Identification with Different Color Space Channel Combinations
Authors: Mo Songwen , Lu Pei , Liu Xiaoyong
Published: October 2022

With the rapid development of the Internet and information technology (in particular, generative adversarial networks and deep learning), network data are exploding. Due to the misuse of technology and inadequate supervision, deep-network-generated face images flood the network, and the forged image is called a deepfake. Those realistic faked images launched a serious challenge to the human eye and the automatic identification system, resulting in many legal, ethical, and social issues. For the needs of network information security, deep-network-generated face image identification based on different color spaces is proposed. Due to the extremely realistic effect of deepfake images, it is difficult to achieve high accuracy with ordinary methods for neural networks, so we used the image processing method here. First, by analyzing the differences in different color space components in the deep learning network model for face sensitivity, a combination of color space components that can effectively improve the discrimination rate of the deep learning network model is given. Second, to further improve the discriminative performance of the model, a channel attention mechanism was added at the shallow level of the model to further focus on the features contributing to the model. The experimental results show that this scheme achieved better accuracy in the same face generation model and in different face generation models than the two compared methods, and its accuracy reached up to 99.10% in the same face generation model. Meanwhile, the accuracy of this model only decreased to 98.71% when coping with a JPEG compression factor of 100, which shows that this model is robust.
Objects and Action Detection of Human Faces through Thermal Images Using ANU-Net
Authors: Prasad Singothu Babu Rajendra , Chandana Bolem Sai
Published: October 2022

Thermal cameras, as opposed to RBG cameras, work effectively in extremely low illumination situations and can record data outside of the human visual spectrum. For surveillance and security applications, thermal images have several benefits. However, due to the little visual information in thermal images and intrinsic similarity of facial heat maps, completing face identification tasks in the thermal realm is particularly difficult. It can be difficult to attempt identification across modalities, such as when trying to identify a face in thermal images using the ground truth database for the matching visible light domain or vice versa. We proposed a method for detecting objects and actions on thermal human face images, based on the classification of five different features (hat, glasses, rotation, normal, and hat with glasses) in this paper. This model is presented in five steps. To improve the results of feature extraction during the pre-processing step, initially, we resize the images and then convert them to grayscale level using a median filter. In addition, features are extracted from pre-processed images using principle component analysis (PCA). Furthermore, the horse herd optimization algorithm (HOA) is employed for feature selection. Then, to detect the human face in thermal images, the LeNet-5 method is used. It is utilized to detect objects and actions in face areas. Finally, we classify the objects and actions on faces using the ANU-Net approach with the Monarch butterfly optimization (MBO) algorithm to achieve higher classification accuracy. According to experiments using the Terravic Facial Infrared Database, the proposed method outperforms “state-of-the-art” methods for face recognition in thermal images. Additionally, the results for several facial recognition tasks demonstrate good precision.
Determination of the Strain Influence on the InAs/InAsSb Type-II Superlattice Effective Masses
Authors: Manyk Tetiana , Rutkowski Jarosław , Kopytko Małgorzata , Martyniuk Piotr
Published: October 2022

A3B5 materials used for the superlattice (SL) fabrication have properties that enable the design of devices optimized for infrared (IR) detection. These devices are used in the military, industry, medicine and in other areas of science and technology. The paper presents the theoretical assessment and analysis of the InAs/InAs1−xSbx type-II superlattice (T2SL) (grown on GaSb buffer layer) strain impact on the bandgap energy and on the effective masses of electrons and holes at 150 K. The theoretical research was carried out with the use of the commercial program SimuApsys (Crosslight). The k·p method was adopted in T2SL modeling. Luttinger coefficients (γ1, γ2 and γ3) were assessed assuming the Kane coefficient F = 0. The bandgap energy of ternary materials (InAsxSb1−x) was determined assuming that the bowing parameter (bg) for the above-mentioned temperature is bg = 750 meV. The cutoff wavelength values were estimated based on the theoretically determined absorption coefficients (from approximation the quadratic absorption coefficient). The bandgap energy was calculated according to the following formula: Eg = 1.24/λcutoff. The theoretical simulations allowed us to conclude that the strain in T2SL causes the Eg shift, which also has an impact on the effective masses me and mh, playing an important role for the device’s optical and electrical performance. The T2SLs-simulated results at 150 K are comparable to those measured experimentally.
Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification
Authors: Emsawas Taweesak , Morita Takashi , Kimura Tsukasa , Fukui Ken-ichi , Numao Masayuki
Published: October 2022

Deep learning using an end-to-end convolutional neural network (ConvNet) has been applied to several electroencephalography (EEG)-based brain–computer interface tasks to extract feature maps and classify the target output. However, the EEG analysis remains challenging since it requires consideration of various architectural design components that influence the representational ability of extracted features. This study proposes an EEG-based emotion classification model called the multi-kernel temporal and spatial convolution network (MultiT-S ConvNet). The multi-scale kernel is used in the model to learn various time resolutions, and separable convolutions are applied to find related spatial patterns. In addition, we enhanced both the temporal and spatial filters with a lightweight gating mechanism. To validate the performance and classification accuracy of MultiT-S ConvNet, we conduct subject-dependent and subject-independent experiments on EEG-based emotion datasets: DEAP and SEED. Compared with existing methods, MultiT-S ConvNet outperforms with higher accuracy results and a few trainable parameters. Moreover, the proposed multi-scale module in temporal filtering enables extracting a wide range of EEG representations, covering short- to long-wavelength components. This module could be further implemented in any model of EEG-based convolution networks, and its ability potentially improves the model’s learning capacity.
Exploration of Urban Emission Mitigation Pathway under the Carbon Neutrality Target: A Case Study of Beijing, China
Authors: Jiang Zheng , Zhang Shuohua , Li Wei
Published: October 2022

Exploring the urban carbon neutrality pathway is crucial to the overall achievement of the net-zero emissions target in China. Therefore, taking Beijing as a case study, this paper firstly analyzes the CO2 emission drivers by combining the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) and partial least squares (PLS) methods. Subsequently, based on the optimized extreme learning machine (ELM) model, this paper projects the CO2 emissions of Beijing during 2021–2060 under different scenarios. The results show that controlling the total energy consumption and increasing the proportion of non-fossil energy consumption and electrification level should be the key measures to implement emission reduction in Beijing. Particularly, the proportion of non-fossil energy consumption and electrification level should be increased to 65% and 73%, respectively, in 2060. In addition, more stringent emission reduction policies need to be implemented to achieve the carbon neutrality target. Under the H−EPS scenario, Beijing’s CO2 emissions peaked in 2010 and will be reduced by a cumulative 109 MtCO2 during 2021–2060. Along with executing emission mitigation policies, Beijing should actively increase carbon sinks and develop carbon capture, utilization, and storage (CCUS) technology. Especially after 2040, the emission reduction produced by carbon sinks and CCUS technology should be no less than 20 MtCO2 per year.
Improved Soliton Solutions of Generalized Fifth Order Time-Fractional KdV Models: Laplace Transform with Homotopy Perturbation Algorithm
Authors: Qayyum Mubashir , Ahmad Efaza , Riaz Muhammad Bilal , Awrejcewicz Jan
Published: October 2022

The main purpose of this research is to propose a new methodology to observe a class of time-fractional generalized fifth-order Korteweg–de Vries equations. Laplace transform along with a homotopy perturbation algorithm is utilized for the solution and analysis purpose in the current study. This extended technique provides improved and convergent series solutions through symbolic computation. The proposed methodology is applied to time-fractional Sawada–Kotera, Ito, Lax’s, and Kaup–Kupershmidt models, which are induced from a generalized fifth-order KdV equation. For validity purposes, obtained and existing results at integral orders are compared. Convergence analysis was also performed by computing solutions and errors at different values in a fractional domain. Dynamic behavior of the fractional parameter is also studied graphically. Simulations affirm the dominance of the proposed algorithm in terms of accuracy and fewer computations as compared to other available schemes for fractional KdVs. Hence, the projected algorithm can be utilized for more advanced fractional models in physics and engineering.
Colorectal cancer mortality trends in the era of cancer survivorship in Korea: 2000–2020
Authors: Kim Min Hyun , Park Sanghee , Yi Nari , Kang Bobae , Park In Ja
Published: October 2022

Purpose: Korea has implemented an early screening for colorectal cancer since 2004. However, it is not known whether this has translated into improved survival over the years.Methods: We acquired colorectal cancer mortality data from the Cause of Death Statistics in Korea from 2000 to 2020. We characterized the data into year of death, cancer-specific loci, and age group. We analyzed age-standardized mortality rates (ASMR) according to year of death, age group, and primary location to find trends in colorectal cancer mortality over a 20-year period.Results: The crude mortality rate of colorectal cancer increased from 8.78 per 100,000 in 2000 to 17.27 per 100,000 in 2020. The second decade was slower in increments compared to the first decade. ASMR showed a decrease over the second decade after an initial increase in the first decade. The decrease was primarily from the lowering of ASMR for rectosigmoid cancers. Age group analysis showed a lowering of ASMR mainly in the 45–59-year, 60–74-year, and ≥ 75-year age groups; however, 0–29-year and 30–44-year age groups showed generally unchanged ASMR over the total period.Conclusion: After a brief incline of age-specific mortality of colorectal cancers during the early 2000s, colorectal cancer mortality has gradually been decreasing in the past decade. This was mainly due to decreased mortalities in rectosigmoid colon cancers especially in the age groups that were the target of early screening.
THE INFLUENCE OF DYNAMIC PROCESSES ON THE OPERATIONAL PROPERTIES OF DRUM-AND-PAD TYPE BRAKING MECHANISMS
Authors:   Rostov State Transport University, POLYAKOV P.A.
Published: October 2022

The dynamic processes occurring in the braking process in the friction contact of the brake mechanism of the drum-pad type are considered. The equations of the oscillatory system, namely the pair «pad – brake drum», for various arrangements of brake mechanisms of the drum-pad type are given. The obtained equations establish the effect on the instability of the braking torque during braking. The parameters of the influence on self-damping and forced oscillations for various brake arrangements are revealed. The criteria of influence, namely the dissipation coeffi-cients of various brake layouts, on the operational characteristics of the instability of the braking torque, and thereby determining the magnitude of the amplitude of the rebound of the brake pad from the working surfaces of the brake drum, are analyzed. The direction is set for improving the operational properties and increasing the tribological reliability of braking mechanisms.
POSSIBILITIES OF EFFECTIVE USAGE OF COUPLING WEIGHT IN THE MOTOR GRADER WITH BOGIES WITH BALANCERS ON THE EXAMPLE OF «BRYANSKY ARSENAL» PRODUCTS
Authors:   OMGSDMengineering, MISHIN A.A.
Published: October 2022

The work of motor grader at traction mode by the action of simmetrical external longitudal load on the blade is consided. Using the desing scheme, evaluations of the irregularity of vertical reac-tions on the weels were obtained for the case of maximum traction and for the case of bracking on a roads with hard cover for motor graders with different design of bogies with balancers. The effect of using bogies with fully equilibrated balancers for some models of motor graders is evaluated.
ADHESIVE STRENGTH OF SOLID ANTIFRICTION COATINGS OF FRICTION UNITS OF AUTOMOTIVE EQUIPMENT
Authors:   Orel State University, RODICHEV A.Yu. , NOVIKOV A.N. ,   Orel State University, TOKMAKOVA M.A. ,   Orel State University, RODICHEVA I.V. ,   Orel State University
Published: October 2022

The article presents a study of the adhesive strength of solid antifriction coatings of friction units of cars. The results of comparison of domestic and imported solid antifriction coatings are presented. A brief analysis of existing methods for determining the adhesive strength of thin an-tifriction coatings cured under normal conditions is performed. The methodology is described and experiments are carried out using a universal-purpose bursting machine with an electronic force meter IR5047-50. A number of quantitative estimates of the adhesion strength of the antifriction coating to the base have been obtained. Conclusions are made about the adhesion strength of the coating. Recommendations on the application of methods for determining the adhesive strength of thin solid antifriction coatings are given.
OVERVIEW OF TECHNICAL CHARACTERISTICS OF LEADING MANUFACTURERS OF TRUCK CRANES
Authors:   Orel state University, BOZHANOV A.A. , KUZIN P.A. ,   Orel state University
Published: October 2022

General information about such a lifting machine as a crane is presented. The leading manufacturers of automobile cranes are presented and the main technical characteristics of the machines are compared to determine the most rational parameters.
OPTIMAL ALLOCATION OF SEASONAL ADDITIONAL PASSENGER TRANSPORT DURING THE SUMMER PERIOD IN THE CITIES OF THE SOUTH OF RUSSIA
Authors:   Maykop State Technological University, GUKETLEV YU.K. , GUKETLEV E.YU. ,   Maykop State Technological University, TKACHEVA YA.S. ,   Maykop State Technological University
Published: October 2022

The analysis of the optimization of seasonal passenger traffic has been carried out, which allows determining the level of optimality of the city's transport fleet and predicting its rational distribution on the city's route network in the summer period. An algorithm for the optimal distribution of passenger transport along urban routes has been developed to achieve a high level of passenger transportation efficiency.
LIBRARIES-CARS OF THE 30-40S OF THE TWENTIETH CENTURY: DOMESTIC EXPERIENCE IN THE IMPLEMENTATION OF TECHNICAL AND CULTURAL INNOVATION
Authors:   Oryol State Institute of Culture, BELYAEVA N.E. , ESIPOV A.L. ,   Oryol State Institute of Culture, IVASHOVA I.A. ,   Oryol State Institute of Culture
Published: October 2022

The article considers the history and technology of the use of motor transport to improve library and information services for a user living remotely from the library. The purpose of the study is to identify, summarize and analyze the historical experience of using vehicles to improve the library and information activities of the country, the region in particular. The organizational, technological and managerial aspects of the work of car libraries have been studied.
THE MODULAR PRINCIPLE OF TRAINING DRIVERS ON THE DESIGN OF THE «EURO PROTOCOL»
Authors:   Orel State University, NOVIKOV A.N. , MIKHALEVA D.S. ,   Orel State University
Published: October 2022

This article presents theoretical classes divided into thematic blocks within the framework of driver training, lists the basic skills of a future driver to ensure road safety. The main problems formed after the commission of a traffic accident (road accident) are analyzed. The statistics with the use of registration of an accident according to the «Euro protocol» in the Russian Federation are given. The mandatory conditions for registration of an accident with the help of a «Euro protocol» with the subsequent functional sequential model of the process of its registration are considered. A unique method of studying the design of the «Euro Protocol» has been developed.
METHODOLOGY FOR THE STUDY OF PARAMETERS OF THE CADET-CAR SUBSYSTEM
Authors:   South-West State University, AGEEV E.V. , VINOGRADOV E.S. ,   South-West State University
Published: October 2022

This article discusses the characteristics that affect the reliability of the subsystem «Cadet-Car» (С-С), «Driver-Car» (D-C), defines the types of possible failures manifested in cadets associated with driving a vehicle. The method of diagnostics of the criterion of reliability of a cadet when performing operator work is presented, which is determined by the error-free reading of information using a digital simulator complex, depending on the time that the cadet has when performing exercises, at the initial stage of practical training in the training center.
PROFESSIONAL STANDARDS IN LOGISTICS ABROAD AS AN INSTRUMENT TO ENFORCE DIGITAL TECHNOLOGIES IN TRANSPORT
Authors:   Moscow Automobile and Road Construction State Technical University (MADI), BYKOVA G.P.
Published: October 2022

Information about professional standards in logistics abroad was investigated: being in force standards for different levels, participants that have created standards, structure of professional standards, levels of professional qualification, as well as minimal (irreducible) requirements for competences that were structured per qualification levels. Critical overview analysis is submitted as far as applicability of foreign experience in creation of professional standards in logistics.
THE ELECTRIC BYCICLE DRIVER
Authors:   Vladimir State University, OLENEV E.A. , AMIRSEIIDOV SH.A. ,   Vladimir State University, DVUZHILNAYA I.F. ,   Grodno State University Yankee Kupala
Published: October 2022

Authors in the article examine the electric bicycle driver, and there are the main dependencies for calculating of the torque generated by the drive.
INFORMATION-DIGITAL APPROACH TO THE ASSESSMENT OF THE LEVEL OF ROAD SAFETY
Authors:   Saratov State Technical University, BASKOV V.N. , ISAEVA E.I. ,   Saratov State Technical University
Published: October 2022

The information-digital approach to assessing the level of road safety involves assessing each element of the system driver car road environment separately, taking into account their relation-ship. The interrelation of factors in the system driver car road environment is considered. The analysis of decision-making by the driver based on the receipt and processing of information was carried out. Each of the system driver car road environment subsystems is considered separately in the context of the use of ITS. Since the influence of the human factor is fundamental in improving road safety, an assessment was made of the functioning of the control and driver assistance system.
IMPROVING THE SAFETY OF THE TRANSPORT OPERATION OF THE CAR BASED ON THE CONTROL OF THE PSYCHOEMOTIONAL STATE OF THE DRIVER
Authors:   Voronezh State Forestry Engineering University, VOLKOV V.S. , LEBEDEV E.G. ,   Voronezh State Forestry Engineering University, NABATNIKOVA E.A. ,   Voronezh State Forestry Engineering University
Published: October 2022

A method for assessing the psychoemotional state of a car driver is proposed based on monitoring his actions according to the following six indicators: longitudinal, lateral and vertical accelerations, exceeding the speed limit, smoking the driver and his conversations distracting from tracking traffic safety. As an evaluation parameter, the coefficient of psychoemotional reliability of the driver is proposed, which provides information about the output of controlled indicators for the constants of the established values when the driver's actions cause a threat to traffic safety. A constructive scheme of the device is proposed that collects and processes information on the speci-fied indicators of the driver's actions with the issuance of a warning signal to him or the controlling entity about the occurrence of danger when the driver continues to work in the previous mode.
CAD FOR THE EVALUATION OF DECISIONS ON THE ORGANIZATION OF ROAD TRAFFIC AND THE DEVELOPMENT OF TRANSPORT SYSTEMS
Authors:   Belarusian National Technical University (BNTU), KAPSKI D.V.
Published: October 2022

The transport system and organization of traffic is responsible for the increased level of emissions of harmful substances into the atmosphere, traffic congestion and accidents. It is the main direction for continuous sustainable economic growth by optimizing the decisions made on the organization of traffic and evaluating their effectiveness. Such a system is able to exclude unneces-sary trips by private car, increase the attractiveness of route passenger transport, eliminate the generation of unnecessary trips, taking into account the development of individual mobility and non-motorized transport by making optimal decisions on the organization of traffic. This is constrained by the lack of an automated system for evaluating these activities based on a comprehensive criterion - accidental, economic, environmental and social losses in road traffic. The development and implementation of such a CAD system will make it possible to make optimal decisions at the design and decision-making stage, reduce the complexity of optimization calculations and make it possible to justify any decisions based on the criterion of minimizing total losses in the transport system.
ENVIRONMENTALSAFETYOFLANDVEHICLES
Authors:   Moscow Polytechnic University, EROKHOV V.I.
Published: October 2022

The design features of the combined oxidizing particulate filter are given. The design features and the principle of operation of the urea supply system are described. The design features of the atomizing air module are given. An assessment of the technical and environmental effectiveness of the use of a system to reduce the toxicity and smokiness of modern engines is given.The purpose of the work is to analyze the basic principles of environmental safety of modern NTS. The task of the work is to formulate the essence of the nitrogen oxide reducing agent, analyze the mechanism, nature and models of the formation of harmful substances (explosives) of NTS power plants, calcu-late the emission of explosives and assess its negative impact on the OS, conduct computational, economic and environmental models of explosives.
INTELLECTUALIZATION OF PARKING LOTS IN LARGE CITIES - PROBLEMS AND PROSPECTS
Authors:   Lipetsk State Technical University, LYAPIN S.A. , RIZAEVA YU.N. ,   Lipetsk State Technical University, KADASEV D.A. ,   Lipetsk State Technical University
Published: October 2022

The application of intellectualization of parking lots in large cities is justified. The transport problems caused by chaotic parking are considered and effective solutions are proposed to ensure smooth traffic on urban roads, promote the positive development of the parking industry and improve the image of the city.
THE SYSTEM OF INDICATORS FOR EVALUATING THE EFFECTIVENESS OF THE FUNCTIONING OF CAR SERVICE ENTERPRISES
Authors:   JV «BUSINESS CAR» LLC, GRISHIN A.S. , SARBAYEV V.I. ,   Moscow Polytechnic University, TZIOVANNIS S. ,   Moscow Polytechnic University
Published: October 2022

The article examines the state of the market of modern network service stations, shows the need to develop a system of performance indicators for an objective assessment of the effectiveness of car service enterprises. A system of enterprise performance indicators has been developed, which consists of 8 groups of indicators. A group of indicators is considered in detail: the state of the IT infrastructure, the purpose and methods of calculating the indicators of the group are formulated. The direction of further research for the effective analysis of the system of performance indicators is shown.
DEVELOPMENT MODEL FOR DIRECTIONAL PASSENGER AIR COMMUNICATIONS IN THE STRUCTURE OF THE ROUTE NETWORKAIRPORT «YAKUTSK»
Authors:   Moscow State Technical University of Civil Aviation, SHAPOSHNIKOVA O.S. , POLESHKINA I.O. ,   Moscow State Technical University of Civil Aviation
Published: October 2022

The analysis of the state of the route network of observed, operating flights from the Yakutsk airport along three designated contours was carried out. The study was carried out on the balance of accumulated, valuable flights from the Yakutsk airport, data from the Federal Air Transport Agency and the Transport and Clearing Chamber of Russia. A conceptual model for the development of the route network of the airport "Yakutsk" in the context of each circuit has been developed, in addition, it has been proposed to open international destinations of the fourth circuit in the countries of East Asia.
DETERMINATION OF THE MAINTENANCE PERIODICITY TAKING INTO ACCOUNT THE FEATURES OF TAXI VEHICLES OPERATION IN THE CITY OF HANOI
Authors:   MADI, REMENTSOV A.N. , EGOROV V.A. ,   MADI, THAI H.CH. ,   MADI
Published: October 2022

The structure of taxi companies, the age structure of the rolling stock, the current organization of work to maintain the efficiency of taxi cars in Hanoi, the ways of reasonable ordering of maintenance work (MW) and current repair (CR) with rational parameters are considered. The methodological prerequisites for optimizing the modes of maintenance and repair of taxi cars based on minimizing the costs of maintaining their performance while performing the required volumes of passenger traffic are outlined.
DEVELOPMENT OF THE AIRPORT NETWORK OF THE CHUKOT OF THE AUTONOMOUS REGION: INCREASING THE TRANSPORT ACCESSIBILITY OF THE REGION
Authors:   Moscow State Technical University of Civil Aviation, SOZYKIN I.O. , POLESHKINA I.O. ,   Moscow State Technical University of Civil Aviation
Published: October 2022

An analysis of the state of the existing transport system, airport network and landing sites of the Chukotka Autonomous Okrug was carried out in terms of meeting the needs of the region in year-round transport communication. The zones of the least transport accessibility and potential growth points of the region are determined. A scheme is proposed for the development of the re-gion's airfield network in order to replace the operation of helicopters with aircraft on local avia-tion routes, the cost of a flight hour of which is significantly lower.
OPTIMIZATION OF THE EXISTING TECHNOLOGY OF CARGO TRANSPORTATION FROM OIL REFINING ENTERPRISES AND THE STRUCTURE OF INTERACTION OF PARTICIPANTS OF THE LOGISTICS SYSTEM
Authors:   Saratov State Technical University, GUSEV S.A. , TERENTYEV A.S. ,   Saratov State Technical University
Published: October 2022

This article analyzes the existing technology for transporting goods from oil refineries, identifies problematic moments and risks of this technology, and proposes a set of measures to solve the identified problems in 2 areas: optimization of the existing technology for transporting goods from oil refineries, which consists in organizing container transportation of products road transport and improving the structure of interaction between participants in the system for the delivery of petroleum products to end consumers. The effectiveness of the proposed solutions was evaluated.
ON THE IMPORTANCE OF SOFTWARE PRODUCTS IN THE PRODUCTION OF AUTOMOTIVE EXPERTISE
Authors:   Voronezh State TechnicalUniversity, ZHULAI V.A. , TARASOV E.A. ,   Voronezh State TechnicalUniversity, DEGTEV D.N. ,   Voronezh State TechnicalUniversity, TARASOVA E.V. ,   JSC «Concern «Constellation»
Published: October 2022

Currently, specialists of insurance companies do not pay enough attention to the possibility of modeling an accident using modern software products. The research results allow us to conclude that at least a third of specialists are ready to work with specialized accident modeling programs, about a third considers these products as effective tools for establishing cause-and-effect relationships, and about a third prefers to consider the use of software and results depending on a set of circumstances. It is concluded that it is necessary to inform insurance companies and expert centers of the expediency of the costs of purchasing a software product, training specialists and experts in order to increase the disclosure of insurance fraud cases.
The Role and Continual Responsibilities of the Korean Sentencing Commission Towards Successful Sentencing Reform
Authors:   The Korean Association of Criminal Procedure Law, Park Hyungkwan
Published: October 2022

Fifteen years after the sentencing guidelines system was first introduced in Korea, sentencing guidelines have been set for most major crimes and the compliance rate has proven to be high. The Korean Sentencing Commission adopted the gradual approach in designing the guidelines and has worked to enhance the objectivity of the sentencing guidelines by way of quality evaluation of the sentencing factors. It appears that at present the sentencing guidelines system has been firmly implemented into the justice system.
However, for sentencing reform to be successful, the Sentencing Commission must be faithful to meet its perennial responsibilities. These responsibilities include but are not limited to consistently designing and revising the guidelines, more evidence-based monitoring of compliance to and the effects of the guidelines, making public and educating others about the sentencing guidelines, providing access to the disclosure of sentencing information, and establishing sound sentencing policies with an emphasis on very important issues such as pertaining to corrections.
To that end, the Commission should operate an empirical data based sentencing guidelines system by way of collection and analysis of high quality sentencing data. Abundant and sound data will provide for a better sentencing data base and a sentencing information system which will in turn be pivotal in achieving a higher level of research and education. These tasks will perforce require cooperation between various criminal justice organizations. Unfortunately, the Korean Sentencing Commission’s on-going operations have not reached an optimal level in collecting qualified sentencing data to ensure the implementation and adherence to the guidelines nor effectively researching sentencing policies.
Contrary to the original intent of the establishment legislation, the Sentencing Commission has operated as a mere branch under the jurisdiction of the Korean Supreme Court and has focused most of its attention to the promulgation of various individual guidelines. The Sentencing Commission must be treated as an independent and specialized entity to ensure successful implementation of its continual responsibilities. The goal of sentencing reform can only be attained by the ongoing efforts of the Commission and its willingness to work towards this common end.
Analysis of the climatic resistance of microwave modified epoxy polymers
Authors: VASINKINA E. YU. , KALGANOVA S. G. , KADYKOVA YU. A.
Published: October 2022

Microwave treatment of epoxybasalt plastics was carried out at a power of 400 W and a duration of 24 sec. For the developed modified composites, an analysis of their climatic resistance according to GOST 9.708-83 was carried out for 1,3,6,9,12 months. According to the change in physical and mechanical parameters, resistance to the specified impact has been determined. As a result of climatic impact on microwave-modified epoxy-basalt plastics, the property retention index is more than 90%.
Morphological studies of Cimex lectularius Linnaeus, 1758 (Hemiptera: Cimicidae)
Authors: Kawasima Elton Shinti , Fernandes de Paiva Vinícius , Belintani Tiago , Garcia Justino Hernany Henrique , Nascimento Juliana Damieli , Pinotti Heloisa , de Oliveira Jader , da Rosa João Aristeu
Published: October 2022

In the family Cimicidae, the genus Cimex stands out for its importance in public health. These hemipterans are known as “bed bugs” and their presence generally indicates poor hygiene and poverty. Cimex lectularius is a hematophagous insect and has a global distribution. In Brazil, control occurs indirectly, due to the control of other vectors. The real knowledge of the epidemiological situation is still compromised by under-reporting. To contribute to the knowledge of the biology and taxonomy of these hematophagous insects, the morphological characters of adults and the five nymphal instars of C. lectularius were analyzed and characterized by means of scanning electron microscopy (SEM). Morphological study by SEM allowed the characterization of eggshell, each nymphal instar, the sexual differentiation of fifth instar nymphs, female, and male external genitalia. In this study it was possible to evaluate the morphological characters of C. lectularius, of all five nymphs’ instars. It is relevant to characterize the morphology of these insects, since the results obtained can contribute to the control actions, as well as to the taxonomic studies of this species.
Sensory analysis and Principal Component Analysis: a sustainable approach
for quality control of stretch denim fabrics
Authors: HARPA RODICA , PIROI CRISTINA , CRISTIAN IRINA , BLAGA MIRELA
Published: October 2022

This study proposes a simplified approach to optimise the portfolio of denim manufacturers by reducing the cost of
unattractive or undifferentiated assortments for future consumers based on their ability to perceive and discriminate
sensory comfort. A key factor in a successful textile value chain is end consumers, who can be considered naive
evaluators when it comes to sensory analysis, as they tend to touch apparel fabrics to perceive the sensory comfort they
feel when wearing them. In this context, 16 naive assessors were recruited to quantitatively characterise six bipolar
sensory attributes as hand descriptors of an assortment of five washed stretch denim fabrics based on tactile properties.
Statistical analysis of the extensive data was performed using the multivariate technique PCA. Two principal components
that explained 70.46% to 76.67% of the total observed variance for the five washed denim fabrics provided an adequate
summary of the sensory data reported, so relationships between sensory attributes as hand descriptors and ratings
given by the 16 untrained assessors were examined. Statistical tests showed that all six bipolar attributes were important
for sensory analysis and that inter-rater agreement was low. However, considering the sensory perception of the
untrained evaluators (i.e., consumers), it was concluded that four of the five washed stretch denim fabrics could be an
option for product portfolio diversification. Thus, from a strategic and sustainability perspective, PCA for sensory analysis
may be helpful in the quality control of washed stretch denim
Research on experiment teaching of anthropometry and virtual clothing
design based on Gagné information processing theory
Authors: CHEN LILI , HONG YAN , YANG WEN , JIANG CHUAN , LOU LIQIN
Published: October 2022

With the promotion of education informatization in colleges and universities, virtual simulation technology is increasingly
used in experimental teaching. In the teaching of fashion-related majors, virtual simulation technology can help students
quickly and efficiently understand design theories, which are difficult for them to understand. However, due to the
complexity of the virtual simulation experiment, it is difficult for students to master all the techniques required for the
operation of the experimental system in a short time. In traditional teaching, students passively accept knowledge taught
by the teacher and follow the teacher's operation, thereby affecting the learning effect. Such teaching and learning
process cannot fully functionalize students' sensory system coding, and therefore cannot form long-term memory. To
optimize the application of virtual simulation technology in the teaching of fashion-related majors, this paper proposes a
clothing virtual simulation experimental teaching method based on Gagné information processing theory. To verify its
effectiveness, anthropometry and virtual clothing design experiment was adopted as the research object. Two groups of
students were involved in the experiments. One group was taught traditionally while another group was taught by the
Gagné information processing mode. Through a set of learning and teaching process evaluation, experiment results
demonstrated that Gagné information processing mode can effectively help students to fine-process the knowledge they
have learned, so that important information can be extracted and encoded to form long-term memory. This paper
provides support for future Gagné information processing theory in the teaching of virtual simulation courses and
exercises.
Insights of Collaborative Learning Approach in Teaching English from Social-Psychology Perspective: A Systematic Review
Authors: Butarbutar Ranta
Published: October 2022

Collaborative learning (CL) is a learning approach that emphasizes activitiesfocused on the students, which has been implemented in teaching English.Interdependence, social behavior, cognitive development, and social psychologyviews may all be used to explain its effectiveness. The systematic review's purpose isto investigate practical influencing elements on CL insight from a social psychologyperspective. The research was conducted using a qualitative method and thenthematically analyzed. The findings break down the success of CL interactions intothree categories: social cognition, social relationship, and social behavior.According to our research, the social-psychological aspects of collaborativelearning have also become a vital component in curricular practices. Consequently,starting with pre-service and building on it with the teacher.