Effect of Thermomechanical Treatment of Al-Zn-Mg-Cu with Minor Amount of Sc and Zr on the Mechanical Properties

In this study, the mechanical and microstructural properties of Al-Zn-Mg-Cu-Zr cast alloy with 0.1% Sc under homogeneous, dissolution, and T6 and thermomechanical treatments with the aim of increasing the volume fraction of MgZn2. Al3(Sc,Zr) reinforcing precipitates were examined by hardness, microscopic examinations, tensile tests and software analysis. The results showed that, firstly, the hardness results are well proportional to the results of the tensile properties of alloys and, secondly, the strength of the alloy with thermomechanical treatments compared to T6 treatments increased from 492 MPa to 620 MPa and the elongation increased from 8% to 17% and was 100% upgraded. Microstructural and fracture cross section investigations showed that Al3(Sc,Zr) nanosize dispersoids were evenly distributed among MgZn2 dispersoids and the alloy fracture was of semi-ductile type and nanosize dispersoids less than 10 nm were observed at the end of the dimples in the fracture section. The volume fraction of nanosize dispersoids in the whole microstructure of thermomechanical treatment samples was also much higher than that of T6 heat treated samples, so that the percentage of Al3(Sc,Zr) precipitates arrived from less than 1% in T6 operation to 8.28% in the quench-controlled thermomechanical operation (with 50% deformation). The quality index (QI) in thermomechanical treatment samples is 19% higher than T6 samples, so that this index has increased from 641 in T6 operation to 760 in samples under thermomechanical treatment due to precipitate morphology, volume fraction of precipitates, their uniform distribution in the matrix, and nano sized precipitates in samples under thermomechanical treatment.

Audacity Software Analysis In Analyzing The Frequency And Character Of The Sound Spectrum

In the process of learning physics, experiments are needed that can help someone in gaining a deeper understanding of learning physics concepts and using technology in the learning process, especially learning sound waves. In this study, the aim is to be able to analyze the sound frequency with the help of Audacity software. Subjects used are 5 different cat sounds. The implementation of this research uses several tools such as a microphone, Audacity software on a laptop, and 5 cat sounds. This experiment was carried out by bringing the micro hope closer to the cat with 5 cm so that the sound was captured by the microphone which would later be transferred to the laptop and read by the audacity software. Furthermore, the data recorded in audacity were analyzed. From the results of the study, it can be said that a tool that can be used in practicum and can read and capture sound waves is effectively used in analyzing sound frequency, spectrum in the application of sound learning so that it can be used as one of the learning media in practicum on sound wave material at Junior high school.

Analysis of Multistory Buildings With Stub Column In Different Seismic Zones In India – A Review

Construction of building requires proper planning and management. Buildings are subjected to various loads such as dead load, live load, wind load and seismic load. Seismic load has extreme adverse effect on building so it is necessary to perform seismic analysis. This paper explains about the response of building when it is subjected to seismic load, this response can be shown by story drift and base shear. Behavior of buildings with stub columns is analyzed and the results are compared with buildings without stub columns. Seismic analysis has been performed on (G+7) buildings located in seismic zones 2,3,4&5 using ETABS software. Analysis has been performed according to IS 1893:PartI (2002).The storey drift and design base shear are evaluated and compared. Pushover analysis was performed and the results were compared.

Neural software analysis

Developer tools that use a neural machine learning model to make predictions about previously unseen code.

A Study on Framework for Anti-Pattern Evaluation of System Software

Studies with a variety of viewpoints, goals, measurements, and quality characteristics have been conducted in order to determine the effect of design patterns on quality attributes. This has resulted in findings that are contradictory and difficult to compare. They want to explain these findings by taking into account confounding variables, practises, measurements, and implementation problems that have an impact on quality. Furthermore, there is a paucity of research that establishes a link between design pattern assessments and pattern creation studies, which is a significant limitation. For the purpose of detecting and categorising software performance anti-patterns, this article proposes a non-intrusive machine learning method dubbed Non-intrusive Performance Anti-pattern Detector (NiPAD). Keywords: software performance, anti-patterns, classification, machine learning, dynamic software analysis

SOFTWARE TESTING RESULTS ANALYSIS FOR THE REQUIREMENTS CONFORMITY USING NEURAL NETWORKS

The relevance of scientific work lies in the need to improve existing software designed to analyze the compliance of the results of software testing ofthe stated requirements. For the implementation of this goal, neural networks can be used by quality control specialists to make decisions aboutsoftware quality, or project managers as an expert system, for one of the quality indicators for the customer. The article deals with software testingwhich is a process of validation and verification of compliance of the software application or business program with the technical requirements thatguided its design and development, and work as expected, and identifies important errors or deficiencies classified by the severity of the program to befixed. Existing systems do not provide for or have only partial integration of systems of work with the analysis of requirements, which should ensurethe formation of expert assessment and provide an opportunity to justify the quality of the software product. Thus, a data processing model based on afuzzy neural network was proposed. An approach to allow determining the compliance of the developed software with functional and non-functionalrequirements was proposed, taking into account how successfully or unsuccessfully implemented this or that requirement. The ultimate goal ofscientific work is the development of algorithmic software analysis of compliance of software testing results to stated requirements for support in thedecisions taken. The following tasks are solved in scientific work: analysis of advantages and disadvantages of using existing systems when workingwith requirements; definition of general structure and classification of testing and requirements; characteristic main features of the use of neuralnetworks; designing architecture, the module of research of conformity of results of testing software to the stated requirements.

MicroRNA-17-5p, a novel endothelial cell modulator, controls vascular re-endothelialization and neointimal lesion formation

Background The functions of miR-17-5p in tumorigenesis have been explored. However, their functionalities in arterial endothelial cells (ECs) have not been investigated. Besides, the issue of vascular remodelling is barely addressed. Objectives The study aimed to determine the effect of overexpression or inhibition of miR-17-5p on arterial endothelial cells’ (ECs) function and vascular remodelling in vitro and the rat carotid arteries model. Methods Quantitative RT-PCR analysis was performed to examine the expression of miR-17-5p. Then, gain-of-function and loss-of-function approaches were employed to investigate the functional roles of miR-17-5p in cultured human coronary artery endothelial cells (HCAECs); further, TargetScan software analysis and luciferase reporter activity assay were performed to investigate the potential mechanism. Lastly, the results of the cell segment were verified in a rat carotid artery balloon injury model by Western blot analysis, measurement of the vascular cGMP level and plasma 8-iso-prostaglandin F2 (8-iso-PGF2) testing. Moreover, morphometric analysis was implemented to detect the re-endothelialization and neointimal formation in rat carotid artery after balloon injury. Results This study firstly found that miR-17-5p expression was upregulated in the injured vascular walls and highly expressive in ECs; overexpression of miR-17-5p inhibited HCAECs’ proliferation and migration, whereas miR-17-5p knockdown strengthened its proliferative and migratory roles, influenced inflammatory response, through regulating VEGRA and VEGFR2. It was found that miR-17-5p bind to VEGFA and VEGFR2 at the 3′UTR. Next, downregulation of miR-17-5p promotes re-endothelialization, and attenuates neointimal formation as measured by the I/M ratio (0.63±0.05 vs 1.45±0.06, antagomiR-17-5p vs. Lenti-NC, p < 0.05). In addition, the functional recovery of the endothelium was also accelerated by miR-17-5p knockdown. Conclusion Our study suggests that miR-17-5p is a feasible strategy for the selective modulation of endothelialization and vascular remodelling through regulating VEGFA and VEGFR2.

Analysis of genetic diversity in selected sugarcane (Saccharum officinarum L.) accessions using inter simple sequence repeat (ISSR) markers

<p class="042abstractstekst"><span lang="EN-US">Genetic diversity information among a population is important in exploiting heterozygosity for the improvement of crop species through breeding programmes. This study was therefore, conducted to assess genetic diversity and establish molecular relationships among 20 selected exotic sugarcane accessions from the Unilorin Sugar Research Institute germplasm using Inter Simple Sequence Repeat (ISSR) molecular markers. Genomic DNA was extracted from the sugarcane leaf. Fragments amplification was then performed by polymerase chain reaction (PCR) with ISSR markers and the data obtained were analyzed using MEGA 4 software. Analysis of the electropherogram showed a total of 39 loci consisting of 369 bands, out of which 95.8% were polymorphic. The biplot analysis showed all the markers contributed to the observed diversity with the least achieved with ISSR6. The principal co-ordinate analysis grouped the accessions into four clusters, comprising mixtures of all the six collection sites. The polymorphism obtained in the present study showed that the ISSR markers are effective for assessment of genetic diversity of the sugarcane accessions as it reveals the genetic similarity or divergence of the accessions regardless their place of origin or cultivation.</span></p>

Integrative Analyses of Biochemical Properties and Transcriptome Reveal the Dynamic Changes in Leaf Senescence of Tobacco (Nicotiana tabacum L.)

Leaf senescence is an important process of growth and development in plant, and it is a programmed decline controlled by a series of genes. In this study, the biochemical properties and transcriptome at five maturity stages (M1∼M5) of tobacco leaves were analyzed to reveal the dynamic changes in leaf senescence of tobacco. A total of 722, 1,534, 3,723, and 6,933 genes were differentially expressed (DEG) between M1 and M2, M1 and M3, M1 and M4, and M1 and M5, respectively. Significant changes of nitrogen, sugars, and the DEGs related to metabolite accumulation were identified, suggesting the importance of energy metabolism during leaf senescence. Gene Ontology (GO) analysis found that DEGs were enriched in biosynthetic, metabolic, photosynthesis, and redox processes, and especially, the nitrogen metabolic pathways were closely related to the whole leaf senescence process (M1∼M5). All the DEGs were grouped into 12 expression profiles according to their distinct expression patterns based on Short Time-series Expression Miner (STEM) software analysis. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis found that these DEGs were enriched in pathways of carbon metabolism, starch and sucrose metabolism, nitrogen metabolism, and photosynthesis among these expression profiles. A total of 30 core genes were examined by Weight Gene Co-expression Network Analysis (WGCNA), and they appeared to play a crucial role in the regulatory of tobacco senescence. Our results provided valuable information for further functional investigation of leaf senescence in plants.

Determination of Porosity in Fluidized-Bed Carburized P/M Compacts Using an Image Software Analysis

The aim of this research was to study the porosity in carburizing in fluidized-bed on sintered alloys produced by powder metallurgy route using an image analysis software and to compare the obtained results with the conventional method for porosity measurements. Porosity is a measure of the void fraction in a material. The total porosity is defined by the ratio of the volume of void space to the total bulk volume of the material, expressed as a percentage. Development of digital images and computer software lead to a new and suitable method to determine the porosity of powder metallurgy materials.