Research on Landscape Space Design Optimization of Green Buildings based on Virtual Generation Algorithm

Traditional architectural landscape design often has problems such as poor visual effect, low satisfaction of residents, and unreasonable design in green environmental protection. Therefore, this paper proposes a green landscape space environment optimization design scheme based on virtual generation algorithm. Firstly, according to the virtual generation algorithm, the virtual generation of the building landscape size is optimized, and the optimization targets include the cost of the building and public facilities such as green belt. Secondly, a new algorithm for generating panoramic landscape images in virtual reality based on feature extraction is proposed. The determinant of Hessian matrix of each pixel in the landscape image is calculated to obtain SURF feature point values. The similarity between landscape images is measured by the Euclidean distance between feature points to achieve feature matching. Through orthographic projection, all landscape images to be synthesized are projected onto the cylindrical surface, and the overlapping parts of adjacent landscape images are fused. After obtaining the projected landscape images, the three-dimensional landscape images generated by orthographic projection are seamlessly spliced through feature matching, and the three-dimensional landscape images generated by orthographic projection are split from a certain position and projected on a plane to obtain a visual consistency of the panoramic landscape image. Finally, the experimental results show that there is almost no gap between the overlapping regions of the panoramic landscape images generated by the proposed algorithm. The brightness difference is not large, the "ghost" phenomenon can be eliminated, and the memory and time consumption are less

Microstructure and hardness of extrusion welding on hollow panel AA6061 aluminum alloy

Given the length of the structure, extruded products are occasionally joined to reach the desired length. To minimize production costs, this joint is achieved through extrusion welding, where it takes place while the workpiece is still a heated billet inside a chamber. As extrusion structures differ in complexity, this study seeks to identify the traits of extrusion welding outcomes across various structural designs. Research findings suggest that structural design significantly impacts both the physical and mechanical properties of the extruded plate and the extrusion joints

Research on constitutive model of rheological behavior of 7050 aluminum alloy based on metal material of badminton racket frame

In order to improve people ‘s experience of badminton and improve the performance of badminton rackets. The flow stress behavior of 7050 aluminum alloy for badminton racket frame metal material was studied under the conditions of strain rate range of 0,01 ~ 10 s–1 and deformation temperature of 573 ~ 723 K. The true stress-strain curve of 7050 aluminum alloy was obtained. According to the real stress-strain curve, the Arrhenius constitutive model of 7050 aluminum alloy was constructed. The results show that obvious dynamic recovery and dynamic recrystallization occur in the hot compression deformation of 7050 aluminum alloy. The flow stress increases with the increase of strain rate and decreases with the increase of temperature. The theoretical stress value predicted by the constitutive model is fitted with the experimental value, and the correlation is 97,3 %. The constitutive model has high prediction accuracy

Effect of quenching temperature on microstructure and properties of 0Cr13Ni8Mo2Al stainless steel for piano stringer

T Stainless steel, as a common material for piano stringer, has the advantages of high strength and good toughness. 0Cr13Ni8Mo2Al stainless steel meets the strength and enhances the toughness of the piano string machine, so it is a relatively successful golf club material. A new type of 0Cr13Ni8Mo2Al stainless steel was studied. The microstructure, hardness and tensile properties of the stainless steel after quenching treatment were studied. The effects of quenching treatment on the microstructure, hardness, strength, plasticity and toughness of the alloy were clarified. The experimental results show that the best quenching process of stainless steel is 515 °C, the hardness is the highest 45.7 HRC, the tensile strength is the highest 145 MPa and the elongation is 13.8 %. This study has a certain guiding role in the development of piano stringing machine materials

Coordinated Development of the Aviation Economic Industry Chain, Innovation Chain, and Service Chain Based on Digital Technology

Digital technology has become an important force for the coordinated development of the aviation economic industry chain, innovation chain and service chain. The introduction of digital technologies addresses the need for a more integrated approach to managing the complex aviation industry, which involves a wide range of stakeholders and processes. The traditional approach to managing the aviation industry faces a number of problems, including inefficiencies, high costs, and low transparency. To overcome these issues, a new approach to leveraging aviation systems (DTAS) is proposed that combines digital technologies such as the Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI) to streamline operations, increase transparency, and improve service delivery. The results of processing time, safety, root mean square error (RMSE), prediction accuracy and air traffic flow were analyzed. The results of different digital technologies showed significant improvements in various parameters, with the use of artificial intelligence reducing maintenance costs by 85% and the Internet of Things increasing fuel efficiency by 20%. To sum up, the adoption of digital technologies is essential for the coordinated development of the aviation industry, and the proposed system can bring significant benefits to all stakeholders

Connecting the dots: Epigenetics, ABA, and plant stress tolerance

Extreme changes in environmental conditions are the main cause of abiotic stress and pose a major challenge for plant survival. In addition to controlling stress-related gene expression through a signal transduction cascade, epigenetic regulation plays an important role in orchestrating rapid and precise responses of plants to dynamic changes in environmental conditions. Complex mechanisms such as DNA methylation, especially via the de novo pathway, and histone tail modifications such as methylation, acetylation, phosphorylation, ubiquitination, and SUMOylation are involved in plant stress responses. In addition, histone variants and chromatin structure contribute to the dynamic regulation of chromatin state and determine whether it remains open or closed. Here, we summarise the complex combination of epigenetic modifications and factors that together regulate plant response to climate stress, focusing on the interplay between epigenetic mechanisms and the phytohormone abscisic acid

Are we ready to integrate advanced artificial intelligence models in clinical laboratory?

The application of advanced artificial intelligence (AI) models and algorithms in clinical laboratories is a new inevitable stage of development of laboratory medicine, since in the future, diagnostic and prognostic panels specific to certain diseases will be created from a large amount of laboratory data. Thanks to machine learning (ML), it is possible to analyze a large amount of structured numerical data as well as unstructured digitized images in the field of hematology, cytology and histopathology. Numerous researches refer to the testing of ML models for the purpose of screening various diseases, detecting damage to organ systems, diagnosing malignant diseases, longitudinal monitoring of various biomarkers that would enable predicting the outcome of each patient’s treatment. The main advantages of advanced AI in the clinical laboratory are: faster diagnosis using diagnostic and prognostic algorithms, individualization of treatment plans, personalized medicine, better patient treatment outcomes, easier and more precise longitudinal monitoring of biomarkers, etc. Disadvantages relate to the lack of standardization, questionable quality of the entered data and their interpretability, potential over-reliance on technology, new financial investments, privacy concerns, ethical and legal aspects. Further integration of advanced AI will gradually take place on the basis of the knowledge of specialists in laboratory and clinical medicine, experts in information technology and biostatistics, as well as on the basis of evidence-based laboratory medicine. Clinical laboratories will be ready for the full and successful integration of advanced AI once a balance has been established between its potential and the resolution of existing obstacles

Assessment of Representative Measurement Time Intervals for Environmental Noise Monitoring

Road traffic noise monitoring is of great importance for the health of people living in urban areas. Noise monitoring is carried out in several possible ways, depending on the available economic, technical and human resources, as well as the reliability of the measurement results, which is expressed through the measurement uncertainty with the appropriate confidence interval. The paper systematically analyzes the results of long-term continuous environmental noise monitoring at nine distinctive locations next to the main city roads in the territory of the city of Nis (Serbia), with road traffic as the dominant noise source. The goal of the research is to define the season, month and day of the week that are representative of the application of monitoring in practice, in terms of the smallest deviations from the annual values of noise indicators. The results obtained in the paper show that spring, March and Friday as the day of the week best correspond to the set criteria

Leaf phenotypic plasticity of European ash (Fraxinus excelsior) at its northern range in Dinaric Alps

The Dinaric Alps have been recognised on numerous occasions as a biodiversity hotspot. They host a variety of species with great importance in sustainable forestry operations and nature conservation. One such species is the European ash (Fraxinus excelsior L., Oleaceae), a broad-leaved, wind-pollinated and wind-dispersed forest tree. In this paper, we aimed to determine the morphological variability of the European ash populations of the northern Dinaric Alps. For this purpose, leaf samples from 10 individuals in seven populations were collected. Morphometric analysis of intra- and interpopulation variability was conducted using 19 morphological leaf traits. We determined great variability of trees within, and small variability among, populations. The variables that best discriminated studied populations were those relating to leaflet shape. Based on these variables, populations were grouped into two clusters. The first cluster encompassed individuals with acute leaflets, found in drier and rockier habitats, whereas the second cluster, defined by more rounded leaflets, was found in mesophilous and nutrient-rich habitats. However, this research revealed no influence of geographical or bioclimatic distances on morphological variability, which indicates that the rockiness and soil are most likely two predominant factors in shaping the phenotypic plasticity of European ash populations. These results are of great significance in the planning of future forest breeding programs, as populations from drier habitats are likely to persist and spread due to their adaptation to water scarcity, which will become more pronounced in the future

Carex distachya (Cyperaceae) with both subspecies in Europe

Carex distachya Desf. is a circum-Mediterranean species. Since 1985 two varieties have been distinguished, C. distachya var. distachya and C. distachya var. phyllostachioidea Ö.Nilsson. The former is widespread, while the latter is considered to be restricted to West Türkiye and the East Aegean Islands, but our research has revealed that C. distachya var. phyllostachioidea is much more widespread in the south-east of Europe, in Croatia, Bulgaria, Montenegro, and mainland Greece. It seems to have been overlooked in these countries so far. As C. distachya var. phyllostachioidea occurs in the East Mediterranean region, we have therefore raised this taxon to subspecies level. Our research has also shown that the differences between the two subspecies are less clear than initially suggested. An upgraded key is therefore added