Technical Parameters Research Articles

BIOKINEMATIC CHARACTERISTICS OF THE TRIPLE JUMP TECHNIQUE IN QUALIFIED ATHLETES

The purpose of the study is to investigate the biokinematic characteristics of the triple jump technique in qualified athletes. Material and methods. The technique of the final attempts of qualified triple jumpers during the 2023 World Athletics Championships was analyzed. The following methods were used in the work: analysis and synthesis of scientific and methodological literature, analysis of video materials, methods of mathematical statistics. The video of the final attempts was used, provided for public use by the International Athletics Federation (World Athletics). The attempts were recorded by four video cameras installed on the side of the treadmill at a distance of 2,5 m, the height of the video camera mounted on a tripod was 1,5 m. Two of the four video cameras recorded video at a frequency of 25 frames per second, the other two video cameras recorded video at a frequency of 1300 frames per second. Video analysis of the final attempts and processing of biokinematic parameters of the technique were determined using the Dartfish and Kinovea programs. All statistical data were processed in the statistical analysis program IBM SPSS Statistics version 28.0.1.0. Results. The metric, time, angular, and speed characteristics of the take-off technique are determined; push-off; jump; step; jump for highly skilled triple jumpers. Based on the analysis of the triple jump technique indicators, the optimal biokinematic parameters of the technique that athletes need to have in order to achieve high competitive results were obtained. Conclusions. To achieve high competitive results in the triple jump, the following technical parameters must be used. The take-off speed should reach 10.40 m s-1 or more, the length of the last take-off step should be 2,20-2,40 m; the pace of the last step is 4-5 steps/s. The push-off; from the bar should last 0.100-0.133 s; the push-off; angle reaches 65-70 ̊; the speed of departure of the general center of mass of the body is 9.60 m s-1 and more. The jump should last no more than 0,660 s. During the jump, the high height of the overall center of body mass should be 1.30-1.45 m; upon landing, the speed of the general center of mass of the body is 9,20 m s-1 or more. The second push-off should last 0,160-0,180 s, the push-off angle is 60-65°. The take-off speed of the general center of body mass in a step should be 8,80 m s-1 or more. The optimal step duration is 0.450-0.520 s, step length is 5.20-5.50 m, the maximum height of the overall center of body mass is 1.24-1.30 m; upon landing, the speed of the general center of mass of the body is 8.50 m s-1 or more. The third push-off should last 130-166 s. The push-off angle is 63-70°. The take-off speed of the general center of mass of the body in a jump is from 8 m s-1 and more. The optimal duration of the jump is 0.750-0.780 s; maximum height of the overall center of body mass 1,10-1,22 m; upon landing, the speed of the general center of mass of the body is 7 m s-1 or more. When taking off and landing, the angle in the supporting leg throughout all three jumps should be 163-170 ̊.

Investigation of Factors Related to Sport-Specific Compulsory Element Execution in Artistic Swimming.

Artistic swimming is an Olympic sport requiring a high level of fitness, as well as technical skills, artistry, flexibility, a good sense of rhythm, remarkable lung capacity and physical strength. The artistic swimming of adolescents has been largely untouched by the scientific community, so training this group based on scientific data is difficult. Due to the gap between theoretical knowledge and practical application, this study aimed to measure the technical elements, strength parameters, and swimming performance of young artistic swimmers and to compare swimming performance and strength with the quality of artistic element performances. Hungarian female junior artistic swimmers (14.36 ± 1.01 year) participated in this study. Swimming tests were performed, and three basic elements (body boost, barracuda, and vertical position) were scored. A negative correlation was found between 100 m freestyle swimming times and vertical position scores, as well as between 50 m breaststroke leg swimming times and body boost scores. Moreover, three months of breaststroke leg swim training resulted in improvements in body boost performance. In addition, a positive correlation was found between mean hand grip strength and barracuda scores, as well as between vertical position scores. According to the results of three months of breaststroke leg training, swimming practice improves artistic swimming performance by itself. A correlation was found between strength parameters and the execution of synchro elements, showing the importance of complex training strategies in this sport.

Математичне моделювання динамічних впливів на будівельні конструкції

The solution of the problem of mathematical modeling of dynamic influences on building structures is considered in general and in connection with important scientific and practical tasks. In modern conditions, special attention should be paid to the problems of taking into account dynamic influences, parameters of load-bearing structures of buildings that affect their structural reliability and safety. For many years, information about catastrophic destruction of buildings and structures has been appearing more often, which are the result not only of errors that arose during the construction of facilities, but also due to dynamic influences that arose during their operation. A buildable technical system will be used in advance with the technical parameters set, which is responsible for the control of the process of the preparation of structures, the installation of the equipment, during the operation and operation. The development will be carried out and the sporud will be constantly used to promote the development of future technologies, the development and the establishment of the future, as well as the development of dynamic developments in the future. In particular, it is important to understand the development of the engineering and geological minds of the spores, as they have known the front deformation of the non-essential axis of the runt foundations. Various methods are used for structural dynamics, such as modal analysis, response spectrum analysis, time analysis, and finite element analysis. These methods include mathematical modeling, numerical simulation, and computational methods to predict the behavior and response of a structure under dynamic load conditions. Knowing the frequency and form of the structure, it is possible to estimate the dynamic reaction of the design to the application. For the purpose of including the transfer of the world, the destruction of internal forces in the real parts of the construction. Analyses of the response to the additional assessment of the characteristics of the construction, the identification of critical areas and the re-conversion, which the project is able to meet the criteria.

Graph embedding orthogonal decomposition: A synchronous feature selection technique based on collaborative particle swarm optimization

In unsupervised feature selection, the clustering label matrix has the ability to distinguish between projection clusters. However, the latent geometric structure of the clustering labels is often ignored. In addition, the optimal sub-feature selection performance of feature selection techniques relies greatly on the choice of balanced parameters, and the selection range of most technical parameters is limited and fixed. To solve the above-mentioned problems, this paper proposes a synchronous feature selection technique based on graph-embedded cluster label orthogonal decomposition and collaborative particle swarm optimization (GOD-cPSO). First, GOD-cPSO extends the feature selection framework of clustering label orthogonal decomposition by graph embedding to retain the latent geometric structure of clustering labels, thus maintaining the correlation between clustered sample labels. Then, the l2,1-2-norm with strong global convergence is extended to the graph embedding clustering label orthogonal decomposition framework. By imposing this non-convex constraint, GOD-cPSO can achieve low-dimensional sparse and low-redundant sub-features. In addition, the local structure preserving of low-dimensional manifolds is integrated into the graph-embedded clustering label orthogonal decomposition framework to obtain good cluster separation and effectively maintain the latent local structure of the data. Finally, to ensure the adaptive parameter selection over a large range, GOD-cPSO synchronously guides the graph-embedding clustering labeling orthogonal decomposition framework for feature selection through collaborative particle swarm optimization. GOD-cPSO has synchronous parameter optimization and feature selection and picks parameters in a larger range. Comprehensive numerical experiments are performed on nine datasets to test the validity of the GOD-cPSO. The experimental results demonstrate that the sub-features selected by the GOD-cPSO have stronger discriminative power and are superior to other techniques in the clustering assignments.

Long Term Outcomes of the Gore Excluder Low Permeability Endoprosthesis for the Treatment of Infrarenal Aortic Aneurysms

This study evaluated the long term outcomes of endovascular aneurysm repair using the Gore Excluder Low Permeability (LP) endoprosthesis across high volume Dutch hospitals. A retrospective analysis was conducted of patients treated with the Excluder LP for infrarenal abdominal aortic aneurysm (AAA) in four hospitals between 2004 and 2017. Primary outcomes were overall survival, freedom from re-interventions (overall, inside and outside instructions for use, IFU), and AAA sac dynamics: growth (> 5 mm), stabilisation, and regression (< 5 mm). Secondary outcomes were technical success (device deployment), procedural parameters, and re-interventions. Follow up visits were extracted from patient files, with imaging assessed for complications and AAA diameter. Five hundred and fourteen patients were enrolled, with a median (IQR) follow up of 5.0 (2.9, 6.9) years. Survival rates were 94.0% at one year, 73.0% at five years, and 37.0% at 10 years, with freedom from re-interventions of 89.0%, 79.0%, and 71.0%, respectively. 37.9% were treated outside IFU, leading to significantly more re-interventions over 10 years compared with those treated inside IFU (36.0% vs. 25.0%, respectively; p= .044). The aneurysm sac regressed by 53.5% at one year, 65.8% at five years, and 77.8% at 10 years, and grew by 9.8%, 14.3%, and 22.2%, respectively. Patients with one year sac growth had significantly worse survival (p= .047). Seven patients (1.4%) had a ruptured aneurysm during follow up. Over 15 years, type 1a endoleak occurred in 5.3%, type 1b in 3.1%, type 3 in 1.9%, type 4 in 0.2%, and type 2 in 35.6% of patients. This multicentre study of real world endovascular aneurysm repair data using the Gore Excluder LP endoprosthesis demonstrated robust long term survival and re-intervention rates, despite 37.9% of patients being treated outside IFU, with type 4 endoleak being rare. Treatment outside IFU significantly increased re-intervention rates and one year sac growth was associated with statistically significantly worse survival.

Conversion of elemental phosphorus under the electron beam irradiation

Abstract This research article describes the results of studies of the processes occurring under the electron beam irradiation of elemental phosphorus in an aqueous medium. Comparisons of the results of white phosphorus samples irradiation using electron accelerators with different technical parameters are presented. The structure of the obtained phosphorus-containing polymers was determined using MALDI mass spectrometry and X-ray fluorescence analysis. A scheme of the formation of macroparticles in the process of irradiation of elemental phosphorus by a beam of accelerated electrons in an aqueous medium is discussed.

Thermal hydraulic method of optimizing the thermal resistance of nuclear fuel of reactor installations

An original thermal-hydraulic method for optimizing the thermal resistance of thermal conductivity of fuel rod matrix upgrades has been developed to achieve the maximum burnup depth of nuclear fuel while ensuring safety conditions in operating and emergency modes of nuclear power plants. Based on the developed method, the boundaries of the optimization area for upgrades of the thermal resistance of the fuel rod matrix thermal conductivity are determined in accordance with the accepted optimization criteria and safety conditions. It is established that when optimizing upgrades to the thermal resistance of nuclear fuel, it is necessary to take into account both normal operating conditions and emergency conditions with impaired heat removal from the reactor core. It is established that the optimal values of thermal resistance of nuclear fuel thermal conductivity depend on the design and technical parameters of reactor installations, composition, and condition of nuclear fuel, accident management systems, and other factors.

The Extraction and Separation of Scarce Critical Metals: A Review of Gallium, Indium and Germanium Extraction and Separation from Solid Wastes

Gallium (Ga), indium (In), and germanium (Ge) play an important role in the modern high-tech material field. Due to their low content and scattered distribution in the crust, and the increasing demand for these metals in recent years, their supply risks have sharply increased. Therefore, the recycling of these metals is of great significance. In this work, a systematic review was performed using the Web of Science, Scopus, MDPI, Elsevier, and Springer Link databases. The combined terms used for the search were Ga/In/Ge, extraction, separation, and recycling. After a careful evaluation of the titles, abstracts, and full texts, a total of 106 articles were included. This paper briefly describes the resource features of Ga, In, and Ge. After that, the chemical principles, technical parameters, and metal recovery in various extraction and separation methods from monometallic and polymetallic resources are systematically reviewed. Leaching followed by solvent extraction or ion exchange is the main process for Ga, In, and Ge recovery. Although many attempts have been made to separate multiple metals from leaching solutions, highly selective solvents and resins are still the research priority. This review can provide theoretical and technical guidance for the separation of Ga, In, and Ge from various resources.

Ultra-short term wind power prediction based on quadratic variational mode decomposition and multi-model fusion of deep learning

To address the challenges associated with the intricate selection of decomposition technical parameters and the adverse impact of high-frequency non-stationary components on prediction accuracy, a differential evolution (DE) and sparrow search algorithm (SSA) parameter optimization model is formulated. Through the optimization of variational mode decomposition (VMD) and bidirectional short and long-term memory (BiLSTM) neural networks, enhancements are made to the overall performance of the prediction method. Subsequently, DESSA–VMD is employed to quadratically decompose the high-frequency unstable component, mitigating the detrimental effects of randomness and volatility on the prediction accuracy of the primary component. Following this, the DESSA–BiLSTM neural network is applied to predict the high-frequency strong non-stationary component, whereas the autoregressive integrated moving average is utilized for predicting the low-frequency periodic component. Finally, a case analysis is conducted using actual data comprising 2000 sets of wind power in a province. When the test set consisted of 600 groups, the root mean square error index value of the proposed prediction model exhibited reductions of 1.95 MW, 2.86 MW, and 1.16 MW, respectively, compared with the BP, SVM, and LSTM methods. Additionally, the mean absolute percentage error index showed decreases of 2.26 %, 2.96 %, and 1.73 %, respectively.

Research on Hydrothermal Iron Removal From Wet Zinc Refining Solutions and Iron Residue Reduces Emissions

For the conventional wet zinc refining processes of the jarosite method and goethite method of iron removal, the process that existed was iron residue low iron, high zinc, large amount of residue, and high cost of harmless treatment, this paper carried out a study on hydrothermal iron removal from wet zinc refining solutions and an iron residue that reduces emissions. The results show that the reaction temperature is a prerequisite for the precipitation of Fe3+ to precipitate hematite (Fe2O3). Prolonging the reaction time can induce the conversion of jarosite (KFe3(SO4)2(OH)6) to hematite. Increasing the partial pressure of oxygen will accelerate the oxidation of Fe2+ to Fe3+ and promote the formation of the hematite phase. Under the optimized technical parameters of reaction temperature 180 °C, oxygen partial pressure 0.6 MPa, reaction time 3 h, and controlled alkali metal ion concentration, 92.49% of the iron in the solution was precipitated into the residue in the form of hematite(Fe2O3), and the precipitated iron residue contained 57.75% iron and 0.82% zinc; compared with the jarosite process, the amount of iron residue was reduced by about 65%, and the zinc content of iron residue was reduced by 5.86%. The use of hydrothermal mineralization iron precipitation processes can realize the mineralization precipitation of iron in solution under low-acid conditions and obtain hematite iron precipitation residue with iron content up to the industry standard of iron oxide. And can be realized for resource utilization, helping the wet process zinc industry to develop in a green and low-carbon direction.

A high-sensitive anisotropic magnetoresistive sensor based on hybrid Ta/NiFe/Ta/Al multilayer structure

High sensitivity is crucial for anisotropic magnetoresistive (AMR) sensors in industrial applications. In this paper, a high- sensitive AMR sensor based on magnetoresistive thin films with Ta/NiFe/Ta/Al four-layer structure is proposed and fabricated. Firstly, the structural parameters were optimized by finite element analysis. Secondly, thin film samples and AMR sensors were prepared. Through the analysis and characterization of reluctance change rate, hysteresis loop, x-ray diffraction and surface morphology and structure, the process parameters were optimized. Finally, the sensor was connected to the designed external circuit, and its technical parameters were tested in a magnetic field test system. The results show that the prepared AMR sensor performs well. It has a high sensitivity of 1.27 mV/V/Oe, a low bridge offset voltage of ±1.64 mV V−1, and a low temperature coefficient of sensitivity of −0.102%/°C. The results contribute to the future development of AMR magnetic field sensor chips.

Study of the relationships between the technical and economic characteristics of river cargo ships during operational and economic feasibility studies

One of the problems of operational and economic feasibility is determining the economic efficiency of a new ships. The complexity of the problem increases for shipis od river and sea-river class due to the high variability of navigation conditions, which significantly affect efficiency indicators. The purpose of the article is to study the mutual influence of the technical indicators of sea-river cargo ship and the economic indicators of its operation, taking into account the navigation conditions on specific sections of waterways. Various technical indicators are considered and it is shown that the most comprehensive indicator is the specific fuel consumption per ton-kilometer. The influence of the error of forecast technical indicators on economic indicators was assessed. It is shown that the optimality of economic indicators depends on the characteristics of the waterway so that a vessel that is optimal on one waterway may not be optimal on another. It has also been established that optimal technical parameters do not always agree with optimal economic ones.

Mathematical model of the topological structure of the urban water supply network

To effectively manage urban water supply networks, utility companies providing water supply and drainage (hereinafter referred to as KP "Vodokanal") need to solve the following problems: - use of topographic maps of scales 1:500, 1:1000, 1:2000, which include both ground-based buildings , as well as adjacent underground communications - water supply and sewerage, electrical networks, gas supply networks, heat supply, communications, etc.; - hydraulic calculations of the water supply network to determine the condition, analysis and optimization of the network structure; - prompt elimination of emergency situations and re-sumption of the network after the emergency is eliminated; - control and management of drinking water quality; - availability of pressure, flow and piezometer monitoring devices; - automated control of pumping stations; - saving energy resources; – network inventory. A comprehensive solution to these problems is provided by a geoinformation automated water supply network management system. Automated network management is carried out using geoinformation technologies, mathematical and geoinformation models of the water supply network. The work proposes a mathematical model of the topological structure of the water supply network, defines geospatial data bases about network objects and the interrelation-ships of these objects, taking into account the topological structure of the network to provide geoinformation and mathematical modeling of the hydraulic state of the water supply net-work, solving problems of emergency processing, monitoring the quality of drinking water, and optimizing the network, energy saving. To construct a digital model of the branched-ring structure of a topological graph, digital vector topographic maps are used as follows: - based on the results of geodetic surveys, water supply network facilities are marked on the topog-raphic map with symbols; - analysis of information-graphic diagrams of well details indicates the presence of pressure/flow regulators and hydrants. If there are regulators, their symbols are applied to the polyline of the water supply section at the symbol of the well at the point where the water pipe is inserted into the well, their diameters and the percentage of opening are indicated; - if there is a hydrant, the symbol for a well without a hydrant is replaced with the symbol for a well with a hydrant; - for all objects of the water supply network, the values of technical and graphic parameters are determined; - the orientation of the graph is deter-mined - the direction of water flow; – a matrix of incidents of vertices and contours is formed.

Towards industry 5.0 through metaverse

The digital transformation of the industry allows the optimization of resources through enabling technology that virtualizes the behavior of Cyber-Physical Systems (CPS) along the entire value chain. However, these virtual environments characterized by machine-to-machine interactions lacked the presence of humans who are at the center of the next defined industrial revolution, Industry 5.0. The goal is for humans to be actively integrated into these virtual environments called metaverses where interactions with environmental digital assets are possible. To achieve this human-centered industrial metaverse perspective, it is necessary to provide humans with technologies that allow them to reach a more immersive and realistic conception of the production processes. For this purpose, we present in this paper, a framework based on hyperconnectivity where several enabling technologies (e.g., Digital Twins, Virtual Reality, Industrial Internet of Things (IIoT)) are integrated in order to converge towards the industrial human-centered metaverse. To validate our framework, a demonstrator has been developed enabling the evaluation of the behavior of humans in virtual environments when facing collaborative tasks that require human-to-human interaction. Within the evaluation of this demonstrator, an experiment based on an assembly that requires interaction with an autonomous vehicle has been carried out both in reality and in the virtual world. The results obtained indicate that the avatars’ metaverse performance is closer to reality when individuals have previous experience with VR goggles, even proving, in this case, the effectiveness of metaverse for industrial operators’ training. In addition, the performance of the application has been evaluated with technical parameters and the perception of the users has been analyzed by conducting a survey receiving very positive feedback and results. Therefore, the industrial metaverse, blending cutting-edge tech with a human-centric approach for Industry 5.0, is now a reality.

Research on technical parameters of electrical arc furnace steelmaking based on direct reduced iron as raw material

In this study, factors influencing the smelting parameters of electrical arc furnace were studied by using a material balance and energy balance model. The smelting parameters include electrical energy consumption, lime consumption, coke consumption, oxygen consumption, natural gas consumption, electrode consumption, smoke and dust volume, steel scrap consumption, direct reduced iron consumption and smelting cost. The consumption of electrical energy and electrode, as well as the smelting cost, decrease with the increase of charging temperature, total iron content, metallization degree, and carbon content of direct reduced iron. An increase in the charging temperature and total iron content of direct reduced iron is beneficial to decrease the consumption of coke, oxygen, natural gas, steel scrap and direct reduced iron, as well as the smoke and dust volume. The same applies to decrease the metallization degree and carbon content of direct reduced iron. It was also found that increasing the charging temperature, metallization degree, and carbon content of direct reduced iron has almost no effect on lime consumption, but an increase in the total iron content of direct reduced iron can reduce lime consumption.

Reducing risk of false positives in the in vivo comet assay and improving result reliability

The risk of generating false positive in vivo comet assay results can be increased when procedural bias and/or technical variability is poorly controlled. This has been an ongoing concern since comet was first introduced into regulatory safety testing. But the proprietary nature of regulated studies and the 3Rs have limited the ability to conduct and publish the comparative in vivo studies necessary to determine the effect these factors can have on comet assay results when substances other than well characterized positive control compounds are evaluated in multiple tissues. That changed when Helix3 was asked to repeat for regulatory submission three independent in vivo comet studies with positive results generated by three other laboratories evaluating the effects of three different test substances on the liver, duodenum, and stomach. We repeated each study using the same test substance and experimental design as the original labs but with our standard quality control methods implemented to reduce procedural bias and variability. In every case, we generated negative results that regulatory authorities accepted over the initial positive results due to evidence of high technical variability and procedural bias in the original labs and studies. Meanwhile, the International Workshop on Genotoxicity (IWGT) compared >14 years of Helix3 comet historical control data (HCD) to HCD from 6 other experienced comet laboratories and concluded that our data exhibited the highest overall background % tail DNA levels with the lowest inter-study variability resulting in the highest quality HCD of all the labs evaluated. These case studies and the IWGT report suggest that our enhanced quality control methods and higher (>2 % mean of slide median tail DNA) background levels can effectively mitigate the nuisance factors that can generate false positive in vivo comet assay results. To facilitate a better understanding of the technical parameters that can significantly influence the comet results, we describe our enhanced procedures with justifications and examples.

Typical values statistical analysis for adult chest and abdomen-pelvis CT examinations

The use of DRLs has been extensively documented in the literature as a tool for protocol optimization across different x-ray imaging modalities in different countries. It recognizes the importance of developing and validating methods capable of correlating DRL quantities (CTDIvol, DLP and SSDE) with the technical parameters employed in CT studies. Such correlations must be supported by robust statistical methodologies in order to ensure the adoption of adequate optimization decisions. The aim of this work was to apply the Generalized Additive Model (GAM) statistical analysis in adult non-contrast chest and abdomen-pelvis CT typical values. These patient cohorts were statistically evaluated to identify correlations with key-parameters associated to the demographic patient information and machine dependent data, taking into account patients’ effective diameters, d, and body mass indexes (BMI). GAM was implemented considering each anatomical region in order to correlate the log-transformed DRL quantities (DRLq's) as outcomes given different key predictors related to image acquisition and patient characteristics. A total of 956 CT patient data were collected in this retrospective single-center study. Demographic variables demonstrate that age is not or it is just weakly-correlated to the DRLq's resulting from chest procedures, but it is strongly correlated when considering abdomen-pelvis examinations. Gender is correlated to the DRLq's for chest examinations adopting d as a key predictor but it is only correlated with DLP adopting the BMI as a key predictor. The level of accuracy provided by the GAM was adequate for interpreting the large fluctuations of the DRLq's, technical parameters and demographic data observed for the studied patient cohorts. Our results reflect the importance of a comprehensive statistical evaluation of typical values. The domain of this technique is important to different CT imaging chain stakeholders and its application can be a key tool for decision-making process to effective optimization strategies.

Protocol parameter extraction and centralization framework for comprehensive and in-depth CT protocol review and management.

CT protocol management is an arduous task that requires expertise from a variety of radiology professionals, including technologists, radiologists, radiology IT professionals, and medical physicists. Each CT vendor has unique, proprietary protocol file structures, some of which may vary by scanner model, making it difficult to develop a universal framework for distilling technical parameters to a human-readable file format. An ideal solution for CT protocol management is to minimize the work required for parameter extraction by introducing a data format into the workflow that is universal to all CT scanners. In this paper, we report a framework for CT protocol management that converts raw protocol files to an intermediary format before outputting them in a human-readable format for a variety of practical clinical applications, including routine protocol review, protocol version tracking, and cross-protocol comparisons. The framework was developed in Python 3. Technical parameters of interest were determined via collaborative effort between medical physicists and lead technologists. Protocol files were extracted and analyzed from a variety of scanners across our hospital-wide CT fleet, including various systems from Siemens and GE. Protocols were subcategorized based on relevant technical parameters into regular, dual-energy, and cardiac CT protocols. Backend code for technical parameter extraction from raw protocol files to a JavaScript Object Notation (JSON) format was performed on a per-system basis. Conversion from JSON to a readable output format (MS Excel) was performed identically for all scanners using the universal framework developed and presented in this work. Example results for Siemens and GE scanners are shown, including side-by-side comparisons for protocols with similar clinical indications. In conclusion, our CT protocol management framework may be deployed on any CT system to improve clinical efficiency in protocol review and upkeep.

Construction and Research of Water Reuse System in Green Intelligent Buildings

This paper discusses the construction and research of water reuse system in green intelligent buildings to improve the efficiency of water resources utilization and promote the sustainable development of the construction industry, which is of great significance for environmental protection and energy saving. In this paper, the design principles, technical parameters and costs of the water reuse system are considered comprehensively. The social and economic benefits are explored through empirical analysis of water reuse systems in different types of buildings. The COD concentration of treated water in the middle water is reduced to below 50mg/L, and the SS concentration is stabilized between 8 ∼ 10mg/L, which is in line with the standard. The actual scale of water production is significant, with an average daily treatment volume of 2548.8816m3 for the university water project, and 28.4478m3 and 431.625m3 for the residential neighborhood and public building, respectively. The average value of the whole life cycle cost prediction is about 39,767,335,000 yuan, and the payback period is 9 years. This study demonstrates the effectiveness and economic feasibility of the water reuse system for green intelligent buildings, which is important for improving water utilization efficiency and environmental sustainability in the construction industry.

Enhancing warp sizing effect and quality: a comprehensive review of the squeezing process and future research

Warp sizing significantly influences both the efficiency of weaving machines and the overall quality of the woven fabric, playing a crucial role in the weaving preparation process. Ensuring precise control of process parameters and equipment status during the sizing process is essential to maintain desirable sizing quality. This paper clarified the research significance of squeezing from the perspective of its application in warp sizing. Moreover, research advances in the squeezing device, including the structure, material, surface state of squeezing and sizing rollers, the configuration of the squeeze and sizing rollers, the spraying device, the pressurization methods for the squeezing roller, and their influence on sizing performance were reviewed in detail. A comprehensive analysis and summary were conducted to explore the correlations between sizing quality and diverse squeezing technical parameters, encompassing squeezing force, surface hardness of rubber-covered sizing and the squeezing roller, squeezing width, warp speed, and immersion time. In addition, this article also outlines the mathematical models related to the squeezing process and the characterization methods of the squeezing effect. Finally, it offers a glimpse into potential future research directions concerning the squeezing process.