Technical Methods Research Articles

Development of a control algorithm for a boost converter with the possibility of dynamic correction of control system parameters

RELEVANCE of the study lies in the development of an algorithm for controlling a DC voltage converter capable of providing a high-quality transient process with a wide change in the input parameters of the control object, affecting its nonlinear properties. purpose. THE PURPOSE. To consider methods for the development of continuous and discrete control systems for a step-up DC voltage converter and to obtain an analytical dependence of accounting for the nonlinear properties of the converter that affect the quality of regulation of the output voltage of the voltage stabilizer METHODS. The method of the average geometric root was chosen as a method for calculating the coefficients of the DC voltage converter control system, and the current circuit is adjusted using the technical optimum method, and the voltage circuit using the symmetric optimum method. The obtained analytical solutions of mathematical models and simulation models were compared in the SimInTech software environment. results. RESULTS. The simulation results show that the analytical solution of the mathematical model of the voltage stabilization system has a shorter transition time than the simulation results. This is due to the fact that in the mathematical model according to which the continuous control algorithm was synthesized, the presence of a power input filter, as well as the degree of their precharge, is not taken into account. Because of this, the transition time on simulation models is slower, applied 4 times than in the mathematical model. conclusion. CONCLUSION. When comparing the algorithms with each other, it can be seen that the algorithm obtained by converting a continuous algorithm by the Tusten method has the shortest transition time than all other algorithms. The continuous algorithm and the algorithm obtained by the inverse Euler transformation method have a speed close to each other, and the algorithm obtained by the direct Euler transformation turns out to be the slowest.

Effects of short-term exposure to high altitude on cardiac function

Abstract Background What effect does short-term high altitude exposure have on heart function? Can people exercise in the highlands? what changes occur in heart function during exercise in highland areas? This study will explore these topics. Objectives To investigate the difference of heart function between people at sea level and at high altitude, and to study the changes of short time exercise on heart function at high altitude. Methods 36 healthy subjects were recruited to go to high altitude area after underwent exercise echocardiography on a supine bicycle at sea level. They ascended to 3600m within 24 hours by bus.Another exercise echocardiography was performed on the day of arrival.Heart rate (HR), blood pressure (BP) and blood oxygen saturation (SaO2) were monitored in real time during both examinations. Parameters such as left ventricular ejection fraction, E/ E 'and mean pulmonary artery pressure (mPAP) after rest and exercise were calculated.ΔmPAP /CO was calculated by (mean mPAP at peak -mean mPAP at rest )/(mean CO at peak-mean CO at rest). Results At peak exercise,SaO2,TRV,RVD2,SPAP,mPAP,PVR, ePLAR,RVAS,ΔMpap/CO were much higher at high altitude levels. (P < 0.001); E,A,FAC,ΔS were significantly lower than that of the sea leval; at rest, HR,TRV,sPAP,mPAP ,PVR were much higher at high altitude levels than at sea leval(P < 0.001)，SaO2,RVOT ACT, were significantly lower than that of the sea leval(P < 0.001). Conclusions When healthy people are in high altitude environment, the heart function changes obviously. Supine bicycle exercise stress echocardiography can well monitor the heart function changes and provide quantitative data, providing new technical methods for future related research.

A survey on person and vehicle re‐identification

AbstractPerson/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to associate the same person (same vehicle) in the surveillance videos at different locations, different times, and images captured by different cameras so as to achieve cross‐surveillance image matching, person retrieval and trajectory tracking. It plays an extremely important role in the fields of intelligent security, criminal investigation etc. In recent years, the rapid development of deep learning technology has significantly propelled the advancement of re‐identification (Re‐ID) technology. An increasing number of technical methods have emerged, aiming to enhance Re‐ID performance. This paper summarises four popular research areas in the current field of re‐identification, focusing on the current research hotspots. These areas include the multi‐task learning domain, the generalisation learning domain, the cross‐modality domain, and the optimisation learning domain. Specifically, the paper analyses various challenges faced within these domains and elaborates on different deep learning frameworks and networks that address these challenges. A comparative analysis of re‐identification tasks from various classification perspectives is provided, introducing mainstream research directions and current achievements. Finally, insights into future development trends are presented.

Colon polyp detection based on multi-scale and multi-level feature fusion and lightweight convolutional neural network

Early diagnosis and treatment of colorectal polyps are crucial for preventing colorectal cancer. This paper proposes a lightweight convolutional neural network for the automatic detection and auxiliary diagnosis of colorectal polyps. Initially, a 53-layer convolutional backbone network is used, incorporating a spatial pyramid pooling module to achieve feature extraction with different receptive field sizes. Subsequently, a feature pyramid network is employed to perform cross-scale fusion of feature maps from the backbone network. A spatial attention module is utilized to enhance the perception of polyp image boundaries and details. Further, a positional pattern attention module is used to automatically mine and integrate key features across different levels of feature maps, achieving rapid, efficient, and accurate automatic detection of colorectal polyps. The proposed model is evaluated on a clinical dataset, achieving an accuracy of 0.9982, recall of 0.9988, F1 score of 0.9984, and mean average precision (mAP) of 0.9953 at an intersection over union (IOU) threshold of 0.5, with a frame rate of 74 frames per second and a parameter count of 9.08 M. Compared to existing mainstream methods, the proposed method is lightweight, has low operating configuration requirements, high detection speed, and high accuracy, making it a feasible technical method and important tool for the early detection and diagnosis of colorectal cancer.

Tracing offshore marine ecosystem asset changes based on physical accounting: A case of Xiamen Sea Area

Assessing temporal and spatial changes in marine ecosystem assets is critical for the capitalized management of natural resources and their contribution to human well-being. However, quantifying these changes using different inclusion methods in the System National Account is a challenge. Ecosystem accounting has become a popular topic in recent years, particularly after the System of Environmental and Economic Accounting-Ecosystem Accounting was published in 2021. However, few practical studies have been conducted on offshore marine ecosystem accounting, including marine ecosystem assets and services. This study provides a systematic framework to prioritize the assessment of offshore marine ecosystem assets (extent and condition) in physical terms, including the determined indicators of physical accounts and the presentation of accounting results. We then used this framework to assess marine ecosystem assets in the Xiamen Sea Area selected from 2006 to 2020. The results show that: (a) The extent of the marine ecosystem in Xiamen decreased by 8.34% from 349.64 km2 to 320.49 km2, mainly caused by converting intertidal ecosystem into the land due to the demand for urban and industrial use sea. (b) The area of intertidal vegetation habitats (mangroves and salt marshes) increased from 23.22 hm2 to 132.2 hm2, with an increase of 4.7 times. The results also show that the restoration of the marine ecology in Xiamen has achieved remarkable results. (c) The marine ecosystem condition comprehensive index in Xiamen increased by 3.13% from 0.32 to 0.33. This shows that the marine ecosystem conditions in Xiamen remain well and have even slightly improved under the pressure of a rapidly developing economy and increasing population. This study provides practical technical methods for assessing offshore marine ecosystem in physical term to support integrated coastal management in coastal cities, and is important for assessing marine ecosystem services in the future.

توظيف التكنولوجيا في تصميم الإعلان الرقمي وتمثلاتها الإبداعية في نتاجات طلبة التربية الفنية

The research dealt with the topic of (employing technology in the design of digital advertising and its creative representations in the products of art education students). The research contained four chapters. The first chapter dealt with: the methodological framework of the research, represented by the research problem that was revealed in the following question: How has technology contributed to employment in the design of digital advertising? They have no role in enriching the creative process and are represented in their artistic productions. The researcher determined the limits of the research, which were represented by the products of the students of the Department of Art Education - First Stage / College of Fine Arts/ University of Baghdad for the academic year (2020-2021), and then the researcher moved to the second semester, which included two sections. The title of the first section was employing technology artistically for advertising, and the section included the second is the creative process and aesthetic standards in the artistic achievement, and the researcher extracted a number of indicators that resulted from the theoretical framework: 1. The use of digital technical methods in employing shapes by following the technique of assembling and composing photographs, and generating a main rhythm between images and color values, served the functional aspect and the creative process of the advertising poster. 2. The computer showed a kind of diversity and excitement in the use of letters and their formal formulation in the design space. Among the most important conclusions is that the use of digital technology in the field of art education for practical academic subjects has given students the ability to diversify the styles of artistic production and facilitate the procedures used in producing these artistic works.

Composition and Injection Rate Co-Optimization Method of Supercritical Multicomponent Thermal Fluid Used for Offshore Heavy Oil Thermal Recovery

Supercritical multicomponent thermal fluid injection is a new technology with great potential for offshore heavy oil thermal recovery. In the process of thermal fluid generation, the reaction conditions including temperature, pressure, and the organic mass concentration in the reaction material will significantly affect its composition and injection rate and will further affect the thermal recovery and development quality of heavy oil. However, there is a lack of relevant research on the variation rules and control methods of the composition and injection rate of supercritical multicomponent thermal fluids, resulting in a lack of technical mechanisms for effective optimization. To fill this gap, a reaction molecular dynamics simulation method was used to simulate thermal fluid generation under different temperatures, pressures, and organic mass concentrations. The changes in thermal fluid composition and yield with reaction conditions were studied, and a control model of thermal fluid composition and yield was established. The proportional relationship between the thermal fluid generation scale of an offshore heavy oil platform and the simulated thermal fluid generation scale is analyzed, and a collaborative optimization method of thermal fluid composition and injection rate in field applications is proposed. The results show the following: (1) The higher the mass concentration of organic matter, the higher the content of supercritical carbon dioxide and supercritical nitrogen in thermal fluids, and the lower the content of supercritical water. (2) The higher the temperature and pressure, the higher the thermal fluid yield, and the higher the organic mass concentration, the lower the thermal fluid yield. (3) The component fitting model conforms to the power function relationship, and the coefficient of determination R2 is greater than 0.9; the yield fitting model conforms to the modified inverse linear logarithmic function relationship, the determination coefficient R2 is greater than 0.8, and the fitting degree is high. (4) The ratio between the actual injection rate of thermal fluids in the mine field and the molecular simulated thermal fluid yield is the ratio of organic matter mass in the platform thermal fluid generator and organic matter mass in the simulated box. (5) Based on the composition and yield control model, combined with the simulation of the ratio relationship between yield and injection rate in the field, a collaborative optimization method of thermal fluid composition and injection rate was established. The research results can provide an effective technical method for predicting, controlling, and optimizing the composition and injection rate of supercritical multicomponent thermal fluids.

Are multimodal large language models a viable option for reliable, low-cost football analysis?

As the reasoning, vision and data analysis capabilities of multimodal large language models continue to develop rapidly, with competing models outcompeting their predecessors on many benchmarks, the question of how these capabilities can be used arises. One potential use case lies in sports analytics: a rapidly developing field which continues to rely more heavily on advanced technical methods than in previous years. This paper explores how state-of-the-art large language models can be utilised in football player analysis by determining the reliability of information provided in three crucial areas in the sports analysis field: data collection, data analysis and data visualisation to help determine the feasibility of using such models to provide reliable player analysis at lower costs than current methods.

Classification and Comparison of Data Augmentation Techniques

Data augmentation is a technical method that generates additional data samples by applying different transformations and processes to the original training data. It aims to increase the size and diversity of the dataset, thus improving the models' generalization ability. This paper provides a detailed introduction to geometric transformations, data mixing, automated data augmentation methods, and generative adversarial methods. Geometric transformations manipulate the spatial configuration of data samples to create new variants that retain the original content. Data mixing techniques blend multiple data samples to produce novel training examples, promoting robustness and reducing overfitting. Automated data augmentation methods leverage search algorithms to discover optimal augmentation policies that improve model performance without manual intervention. Generative adversarial methods employ generative adversarial networks to synthesize realistic data samples that enrich the training dataset. These methods find broad application in domains including object detection, image classification, natural language processing, and speech recognition, significantly improving model performance. The paper explores the advantages and limitations of data augmentation techniques in practical applications and identifies future research directions and challenges. By systematically classifying and selecting appropriate data augmentation methods for specific application scenarios, this review provides a theoretical foundation and practical guidance for real-world applications.

The current research status of Kansei engineering in the field of emotional clothing design

PurposeThis study provides a comprehensive overview of the research landscape of Kansei engineering (KE) within the domain of emotional clothing design. It explores the pivotal technologies, challenges and potential future directions of KE, offering application methodologies and theoretical underpinnings to support emotional clothing design.Design/methodology/approachThis study briefly introduces KE, outlining its overarching research methodologies and processes. This framework lays the groundwork for advancing research in clothing Kansei. Subsequently, by reviewing literature from both domestic and international sources, this research initially explores the application of KE in the design and evaluation of clothing products as well as the development of intelligent clothing design systems from the vantage point of designers. Second, it investigates the role of KE in the customization of online clothing recommendation systems and the optimization of retail environments, as perceived by consumers. Finally, with the research methodologies of KE as a focal point, this paper discusses the principal challenges and opportunities currently confronting the field of clothing Kansei research.FindingsAt present, studies in the domain of clothing KE have achieved partial progress, but there are still some challenges to be solved in the concept, technical methods and area of application. In the future, multimodal and multisensory user Kansei acquisition, multidimensional product deconstruction, artificial intelligence (AI) enabling KE research and clothing sales environment Kansei design will become new development trends.Originality/valueThis study provides significant directions and concepts in the technology, methods and application types of KE, which is helpful to better apply KE to emotional clothing design.

Qingxin Jieyu Granule alleviates myocardial infarction through inhibiting neutrophil extracellular traps via activating ANXA1/FPR2 axis

BackgroundMyocardial infarction (MI), representing the most severe manifestation of coronary artery disease (CAD), stands as a primary concern in the prevention and management of cardiovascular diseases. Clinical evidence demonstrates that Qingxin Jieyu Granule (QXJYG) is efficacious in treatment of MI patients. However, the mechanisms underlying its therapeutic effects remain to be elucidated. PurposeThis study aimed to evaluate the effects of QXJYG on MI and investigate its underlying mechanisms. Materials and methodsThe MI model in rats was developed through ligating the left anterior descending (LAD) artery. The effect of QXJYG on cardiac function impairment in MI rats was assessed by echocardiography, while the improvement of cardiomyocyte morphology and myocardial fibrosis after treatment with QXJYG was evaluated through hematoxylin-eosin (H&E) staining and Masson staining. The chemical constituents of QXJYG in blood were identified by using the UPLC-Q-TOF/MS technique. Furthermore, the molecular mechanism underlying the QXJYG therapeutic effect in MI was postulated based on the disease gene-drug target network analysis. Other technical methods such as ELISA, immunohistochemical staining, Western Blot analysis and application of pharmacological inhibitors were employed to verify the effectiveness of QXJYG in treating MI and explore its potential molecular targets. ResultsThe cardiac function in experimental rats post-MI was significantly impaired, as evidenced by an enlarged infarction area, disordered arrangement of cardiomyocytes, and aggravated myocardial fibrosis. QXJYG treatment significantly enhanced the cardiac function and reduced the pathological damage of the cardiac tissue in MI rats. Through the network pharmacology analysis, we identified that FPR2 might be a potential target of QXJYG in its cardiac protection role. QXJYG markedly downregulated the level of neutrophil extracellular traps (NETs) in MI rats, specifically manifested as a significant reduction in the Histone-DNA level and expression of myeloperoxidase (MPO) and citrullinated histone H3 (CitH3) proteins. Furthermore, QXJYG upregulated the levels of ANXA1 and FPR2 proteins in MI rats. The level of FPR2 was markedly reduced in MI rats upon administration of WRW4, a specific inhibitor of FPR2, which was associated with exacerbated MI injury and an elevated level of NETs. When WRW4 was co-administered with QXJYG, the cardioprotective effects of QXJYG on MI were significantly diminished. However, the addition of DNase I did not result in significant changes of the outcomes in MI rats after QXJYG intervention. ConclusionQXJYG treatment alleviates cardiac tissue injury in MI rats by inhibiting NETs through activating the ANXA1/FPR2 axis. The findings extend our understanding of the therapeutic effectiveness of QXJYG and offer a scientific foundation for the clinical utilization of QXJYG.

Innovations in Engineering and Technology of Worm-Type Gears

Relatively small changes in engineering and technology of traditional established products turn over time into a series of milestones that determine both technical characteristics and production methods, and as a consequence - the competitiveness of the final product. Accordingly, it is relevant to periodically look at the evolution of the accumulated solutions and make some conclusions on it. For this purpose, the paper reviews innovations in design and production of worm-type gears obtained in Izhevsk scientific school in the field of gears for the last two decades: spiroid gears operating at low rotational speeds and transmitting high loads, leading to plastic deformations due to compactness of gears; spiroid gears with small gear ratios (3...8) competing with more expensive in production bevel and hypoid ones; worm gears with steel hardened gearwheels with increased strength and manufacturability; planetary spiroid gears providing extremely high gear ratio, improved methods and techniques of design and preproduction of gear cutting. The paper presents the review of innovations in design of worm-type gears made in Izhevsk scientific school in the field of gears for the last two decades: spiroid gears for cases of low speeds and small gear ratios, worm gears with steel hardened gearwheels, planetary and spiroid gears, improved methods and techniques of design and preparation of gear cutting.

Size-Dependent Mechanical Properties and Excavation Responses of Basalt with Hidden Cracks at Baihetan Hydropower Station through DFN–FDEM Modeling

Basalt is an important geotechnical material for engineering construction in Southwest China. However, it has complicated structural features due to its special origin, particularly the widespread occurrence of hidden cracks. Such discontinuities significantly affect the mechanical properties and engineering stability of basalt, and related research is lacking and unsystematic. In this work, taking the underground caverns in the Baihetan Hydropower Station as the engineering background, the size-dependent mechanical behaviors and excavation responses of basalt with hidden cracks were systematically explored based on a synthetic rock mass (SRM) model combining the finite-discrete element method (FDEM) and discrete fracture network (DFN) method. The results showed that: (1) The DFN–FDEM model generated based on the statistical characteristics of the geometric parameters of hidden cracks can consider the real structural characteristics of basalt, whereby the mechanical behaviors found in laboratory tests and at the engineering site could be exactly reproduced. (2) The representative elementary volume (REV) size of basalt blocks containing hidden cracks was 0.5 m, and the mechanical properties obtained at this size were considered equivalent continuum properties. With an increase in the sample dimensions, the mechanical properties reflected in the stress–strain curves changed from elastic–brittle to elastic–plastic or ductile, the strength failure criterion changed from linear to nonlinear, and the failure modes changed from fragmentation failure to local structure-controlled failure and then to splitting failure. (3) The surrounding rock mass near the excavation face of underground caverns typically showed a spalling failure mode, mainly affected by the complex structural characteristics and high in situ stresses, i.e., a tensile fracture mechanism characterized by stress–structure coupling. The research findings not only shed new light on the failure mechanisms and size-dependent mechanical behaviors of hard brittle rocks represented by basalt but also further enrich the basic theory and technical methods for multi-scale analyses in geotechnical engineering, which could provide a reference for the design optimization, construction scheme formulation, and disaster prevention of deep engineering projects.

Development of a new paradigm model for deciphering action mechanism of Danhong injection using a combination of isothermal shift assay and database interrogation

BackgroundIdentification of active components of traditional Chinese Medicine (TCM) and their respective targets is important for understanding the mechanisms underlying TCM efficacy. However, there are still no effective technical methods to achieve this.MethodsHerein, we have established a method for rapidly identifying targets of a specific TCM and interrogating the targets with their corresponding active components based on Isothermal Shift Assay (iTSA) and database interrogation.ResultsWe optimized iTSA workflow and identified 110 targets for Danhong injection (DHI) which is used as an effective remedy for cardiovascular and cerebrovascular diseases. Moreover, we identified the targets of the nine major ingredients found in DHI. Database interrogation found that the potential targets for DHI, in which we verified that ADK as the target for salvianolic acid A and ALDH1B1 as the target for protocatechualdehyde in DHI, respectively.ConclusionOverall, we established a novel paradigm model for the identification of targets and their respective ingredients in DHI, which facilitates the discovery of drug candidates and targets for improving disease management and contributes to revealing the underlying mechanisms of TCM and fostering TCM development and modernization.Graphical

Radiological and biomechanical evaluation of the ulnar nerve after the percutaneous application of the medial K-wire in the extended position on supracondylar humerus fractures: Does the postoperative long arm splint position matter?

Our study aimed to evaluate and compare the changes in ulnar nerve tension and strain at different elbow positions radiologically and mechanically before and after applying the medial K-wire on the supracondylar humerus fracture cadaver model. We used ten fresh frozen cadaver upper extremity specimens to measure strain and tension on the ulnar nerve in 3 different elbow positions: elbow full extension, elbow flexion-forearm supination, and elbow flexion-forearm pronation. We employed Shear wave elastography (Siemens Acuson S3000 USG, 9L4 linear probe) and a microstrain gauge (Microstrain, Inc., Burlington) to obtain our measurements. Minimum, maximum and mean stress and strain values on the nerve and its surroundings were measured and compared statistically. The mean values of elbows with full extension are statistically lower than those in elbows with 90° flexion-forearm supination and those with 90° flexion-forearm pronation positions. Statistical evaluations were performed between all of the groups. Elbow 90° flexion-forearm pronation, both minimum and maximum and mean values were statistically higher in the group, including the specimens with Kirschner applied. The mean values in the elbow full extension and elbow 90° flexion-forearm supination positions were statistically similar in the specimens with and without the K-wire applied. Despite the numerous techniques described in the literature, there is no absolute technical method to prevent ulnar nerve damage. K-wire application to the medial epicondyle with the elbow in a slightly extended position is a technique that can be applied to reduce the risk of ulnar nerve paralysis. However, it has been reported that ulnar nerve damage can be observed in cases where a splint is placed in the 90° flexion position. We hypothesize that the position of the elbow joint in the postoperative period may contribute to ulnar nerve paralysis due to soft tissue tension and strain and as a result of changing the balance of the surrounding tissues. Our findings suggest that the long arm splint applied in elbow 90° flexion and forearm pronation position should not be preferred in the postoperative period. The maximum strain values obtained in the elbow full extension were lower, suggesting that it would be appropriate to stabilize the elbow in the extension position as much as possible postoperatively. Level of evidence: Level V.

Chemical weapons investigation mechanisms in Syria: standards of proof and methods of work

AbstractSeveral ad-hoc mechanisms were established for fact-finding and attributing responsibility for chemical weapons allegations in Syria. With distinctive mandates, these mechanisms adopted different working methods and applied varying standards of proof to achieve their objectives. This paper presents an analysis of the four main investigation mechanisms on alleged chemical weapons use in Syria, drawing on over forty relevant official reports, documents, and memos. The analysis entails juxtaposing the main attributes of these mechanisms: mandate, founding body, standards of proof, and adopted scientific and technical working methods. By doing so, the paper demonstrates the interdependency between the mechanisms and explains correlations between their constituting attributes. While attribution mechanisms apply a wider range of technologies and work methods, they did not consistently exhibit a higher standard of proof. This challenges the assumption that the mandate and technology use determine the applied standard of proof. Rather, the paper finds that the founding bodies have the most significant influence on standards of proof. United Nations-mandated mechanisms, for instance, employ a higher standard than those founded by the Organization for the Prohibition of Chemical Weapons (OPCW). The paper discusses contributing factors to this finding including, political support, anticipated and granted levels of cooperation and access, and reporting of findings.

Science, Fiction, and Contemporary Media: Blurred Borders in Knowledge Dissemination in Michael Crichton’s The Andromeda Strain

This study examines the technical methods used by Michael Crichton to blur the lines between factual information and fictional elements in his novel The Andromeda Strain. The creative use of scientific terminology and artistic documentation that supports a sense of reality plays a role in creating a certain blurring that works to enhance the blurring of the boundaries between reality and imagination. The study aims to explore the novel within the framework of postmodern literary theory, questioning the concept of absolute truth, and emphasizing the role of language and literary discourse in constructing reality. Through a critical analysis of the novel, this study seeks to clarify the methods followed by Crichton to employ language and discourse to create an atmosphere of authenticity that contributes greatly to blurring the line between reality and imagination. In addition, the study comprehensively analyses modern media platform technologies that are used to erode the boundaries between objective reality and fictional narratives, and their consequent effects on the dissemination of information. The study concluded that Crichton's novel The Andromeda Strain embodies the successful integration of scientific concepts with fantasy elements, which resulted in a captivating and intellectually stimulating narrative.

Optimization of a Boom Height Ultrasonic Detecting Model for the Whole Growth Cycle of Wheat: Affected by the Oscillation of the Three-Section Boom of the Sprayer

In the dynamic operation of a boom sprayer, the boom oscillation will cause the detection value of the boom height to fluctuate greatly, resulting in failures of the control system. Based on the previously developed static boom height detection model for the entire wheat growth cycle, this study aimed to optimize the model to reduce the impact of boom oscillation on the accuracy of boom height detection. Three ultrasonic sensors were installed on each section boom of a three-section boom sprayer, and dynamic boom height detection tests were conducted at vehicle speeds of 4 to 8 km/h across six growth stages of winter wheat in Beijing, a total detection area within a single fixed operational row of approximately 14 ha. The test results showed that as vehicle speed increased, boom oscillations intensified across all sections. By setting the boom oscillation correction parameters, the detecting value of each section of boom height is corrected. The results show that the fluctuation and deviation degree of the boom height-detecting value are obviously reduced, and the correction effect is obvious. Further analysis of the detecting value of the boom height after the correction shows that the previously established detection model still maintains high detection accuracy under dynamic conditions; that is, the detection position of the ultrasonic sensor does not downward shift. This paper provides a low-cost technical method that can be directly applied to the dynamic detection of boom height.

ABOUT THE PROTOTYPOLOGICAL ASPECTS OF THE EVOLUTION OF THE DWELLING

Throughout human history, housing has been crucial for human existence, serving as shelter, a symbol of social status, economic prosperity, and cultural identity. Studying archaeological data from different times and peoples has enabled the analysis of the main stages of the development of one of the fundamental values of human material culture - housing. Housing stands as concrete evidence supporting hypotheses and scientific discoveries, offering insights into the life, culture, and traditions of specific epochs. Its extensive evolutionary journey has been shaped significantly by advancements aimed at optimizing living conditions, influenced by societal norms, domestic practices, and scientific advancements. This ongoing evolution has defined housing's architectural characteristics, including differentiation of family, household, functional planning, work, and communal spaces, alongside spatial and expressive architectural elements. It encompasses the development of individual housing units within broader building and settlement frameworks, encompassing diverse housing types and their typological classifications, as well as applying construction and technical methods. This study examines the distinctive typological groups of housing, characterized by their structural underpinnings. These groups are delineated by key factors influencing the inception of formative architectural techniques, such as the early development of functional-planning solutions rooted in familial and regional contexts, and cultural traditions. Additionally, the article explores the architectural evolution of housing, analyzing how prototype components have shaped the phased development of residential functional-planning structures over time. This research contributes to a broader series of investigations into typological evolution of housing, aiming to deepen our understanding of its transformative journey across different historical periods.

Church Goldsmithing as a Phenomenon of Ukrainian Culture of the 17th – 18th Centuries

The activities of such Kyiv goldsmiths as Ivan Ravych, V. Moshchenko, Matvii Narunovych, Fedir Levytskyi is described in the article in the culturological aspect. The elements of Ukrainian culture, which can be observed on the jewelry of church use of the 17th – 18th centuries are distinguished in the course of the work. The authoress has defined the style in which Kyiv masters of the studied period have worked. It is worth noting that the investigation of the culturological phenomenon is not possible without the artistic aspect, since art is a part of culture, so a review of church jewelry also from an artistic point of view, however, with the selection of features of Ukrainian culture is used in the study. The vestments for the icon of the Dehtiarivska Mother of God, vestments of 1738, made by V. Moshchenko, chalice and trays for candlesticks by Matvii Narunovych are also considered in the study in detail. It is proposed to research carefully the work of Ivan Ravych, Matvii Narunovych and Fedir Levytskyi in the future. The most important features of Ukrainian culture of the 17th – 18th centuries, manifested in jewelry, are distinguished in the studies. The technical methods used by Ukrainian goldsmiths at that time are indicated. The purpose of the article consists not only in the description of Ukrainian culture in the light of precious church utensils, but also in the distinguishing its elements specifically on church jewelry in order to demonstrate that church goldsmithing is the Ukrainian cultural phenomenon. However, it is worth remembering that the topic needs further detailed research. Only a small part of the signs of Ukrainian culture is indicated in the work because of the lack of a full-fledged source base of the investigation. The authoress is leaving further disclosure of the topic to future scientists. The work will be useful for researchers, postgraduate students, as well as for those who are simply interested in the jewelry business of Ukraine. The information provided in the article can be used in future research on church jewelry and jewelry in general.