Toward the formulation of a proposed frame for the formal and structural specifications of the modern parametric digital architecture

Background This research paper contributes to presenting a proposed framework for the formal and structural specifications of parametric digital architecture in order to increase knowledge and know-how in this field closely to specialists and those interested in it through the research methodology, which is divided first into the theoretical background to include a presentation of the definition of digital architecture and the most important pioneers of digital architecture, digital building materials and construction mechanisms parametric digital and what are the most important computer software used in parametric digital architecture in terms of design and construction implementation and identifying the most important digital specifications and characteristics that were mentioned in previous studies in this field and what are the unconventional digital esthetic values, then comes the role of the applied study in formulating a comprehensive matrix of parametric design modern and its impact on the development of traditional architectural models in digital architecture. Results The research study found that both (unrealistic shape) and (typical interaction) ranked first with the highest percentage reaching 100% in all study cases. The ratio of the volume of each to the total volume of all elements of morphological characteristics and non-traditional esthetic values was 8%, the most important characteristic of buildings in parametric digital architecture, in most of them, is the lack of realism to a very significant degree, and we always find a clear increase in the interaction, vitality and dynamism of buildings with the surrounding environment. Conclusions The most important characteristic of buildings in parametric digital architecture, in most of them, is the lack of realism to a very significant degree, and we always find a clear increase in the interaction, vitality and dynamism of buildings with the surrounding environment. While we conclude that the least characteristic of the parametric digital buildings is the simulation of nature or the tendency to everything that is traditional, as well it is often inclined to everything strange and unfamiliar.

Comparative study of mifepristone followed by misoprostol with misoprostol alone for treatment of early pregnancy failure: an interventional randomised clinical study in a tertiary care hospital

Background: Early pregnancy failure (EPF) is a common experience for women. Medical management allows for expulsion of the nonviable pregnancy in a controlled manner without any surgical risk. The aim of this study was to compare efficacy and safety of mifepristone followed by misoprostol with misoprostol alone in management of EPF.Methods: This was a prospective comparative interventional randomised clinical study conducted at Shri Maharaja Gulab Singh hospital, Jammu, Jammu and Kashmir India from November 2019 to October 2020. A total of 200 patients with gestational age less than 13 weeks and ultrasound diagnosis of EPF were included in the study and randomly divided into two groups, group A (100 patients) received tab. mifepristone 200 mg orally 24 hrs before the use of Tab misoprostol 800 ug per vaginally. If no expulsion occurs within 4 hours, repeat doses of 400 ug misoprostol were given per vaginally at 4-hourly interval to a maximum of 2 doses in women less than or equal to 9 weeks by ultrasound and 4 doses in women more than 9 weeks by ultrasound. Group B (100 patients) received only Tab misoprostol in similar doses without prior mifepristone. The study was performed after approval from the institutional ethical committee. The data was analysed using computer software Microsoft Excel, Statistical and IBM SPSS version 21.0. The statistical difference in mean value between two groups was tested using unpaired ‘t’ test. The qualitative data was compared using Fischer’s exact test.Results: The success rate was higher in group A 92% than group B where it was 76%. The mean induction-abortion interval and dose of misoprostol required for expulsion were 6.56±.66 hrs in group A and 10.40±4.33 hrs in group B and 1126.88±536.06 ug in group A and 1583.33±364.58 ug in group B. The patients in group A experienced significantly less side effects than those in group B, 19% versus 32% and also required fewer blood transfusions than group B, 2% versus 5%.Conclusions: In the present study we came to the conclusion that mifepristone followed by misoprostol is more effective, safe and acceptable than misoprostol alone.

Implications of Multiple Numerical Aspects for Carreau Nanofluids With Heat Generation/absorption via Nonuniform Channels

Nanomaterials are unique work fluids with preeminent thermal performance for improving heat dissipation. We present theoretical and mathematical insights into nanofluid heat transfer and flow dynamics in nonuniform channels utilizing a non-Newtonian fluid. Therefore, the impacts of heat absorption/generation and Joule heating in a magneto hydrodynamic flow of a Carreau nanofluid into a convergent channel with viscous dissipation are addressed in this mathematical approach. Brownian and thermophoresis diffusion are considered to investigate the behavior of temperature and concentration. The magnetic effects on the flow performance are measured. The leading nonlinear equations are solved numerically using the BVP4c solver and RK-4 (Runge–Kutta) along with the shooting algorithm using the computer software MATLAB. The obtained dual solutions are presented graphically. The consequences of the variable magnetic field, heat absorption/generation and numerous physical parameters on the temperature and concentration field are surveyed. The outcomes show that increasing the rates of the heat absorption/generation parameter and Eckert number enhances the thickness of the thermal profile of the convergent channels, while increasing the value of the Prandtl number expands the thickness of the momentum boundary layer of the convergent channels. The key findings related to the study models are presented and discussed. An assessment of solutions achieved in this article is made with existing data in the literature.

Metaphor Analysis in Political Discourse Based on Discourse Dynamics Framework for Metaphor: A Case Study

Contrary to the pre-existing mapping and top-down instantiation from thought to language, Discourse Dynamics Framework for Metaphor(DDFM)argues that metaphor works mainly inductively upwards from the linguistic metaphor data, offering a tool for understanding people, revealing something of speaker’s ideas, affective aspects and values. This study is designed to apply DDFM to a political speech about fighting COVID-19 made by Xi Jinping, the president of the People’s Republic of China. Assisted by computer software, such as tables of Microsoft Office, to sort metaphors of each segment of this speech, this article investigates metaphors in the speech by progressive process of metaphor analysis of DDFM. It is found that: (1)The most frequently occurring metaphors are related to bodily action and body experience, which implies actions Chinese government will take.(2)The dynamically emergent systematic metaphors evolve as the discourse proceeds, conveying the political ideas and attitudes of Chinese government in fighting COVID-19.(3) Most of metaphors are conventionalized, which indicates the framing role of conventional metaphors in discourse. Thus, DDFM offers a new approach regarding metaphors in political discourse.

What Is Open Source Software (OSS) and What Is Big Data?

This chapter discusses what Open Source Software is and its relationship to Big Data and how it differs from other types of software and its software development cycle. Open source software (OSS) is a type of computer software in which source code is released under a license in which the copyright holder grants users the rights to study, change, and distribute the software to anyone and for any purpose. Big Data are data sets that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Big data can be discrete or a continuous stream data and is accessible using many types of computing devices ranging from supercomputers and personal workstations to mobile devices and tablets. It is discussed how fog computing can be performed with cloud computing for visualization of Big Data. This chapter also presents a summary of additional web-based Big Data visualization software.

Uses and Practices of Computer Application in Demographic Research Regarding Nepal

The computer was used to model, simulate and analyze social phenomena in the research. This study aims to analyze the uses of computer software in demographic research in Nepal. Information was gathered from secondary sources from reports of GOs and NGOs, manuals and guidelines of various software packages. Information was taken from the United Nations software package, World Health Organization, United Nations Population Funds and software package of the U.S. Census Bureau. Other’s information was taken from the National Housing and Census and Demographic Health Survey of Nepal. To achieve the objective of this study data are analysed in a descriptive method. This study has focused on computer software mainly SPSS, Mort Park, CS Pro, and STATA. The roles of computer have been helpful in quantitative research. Its role is also important when the research is on a large sample. The computer assists the researcher throughout different phases in the quantitative research process. The major five phases of the research process are the conceptual phase, design and planning phase, empirical phase, analytic phase, and dissemination phase. The use of computer software is helpful in data entry, data editing, and data management. The data analysis software is supportive of processing and manipulating information and analyzing the relationship between variables. Therefore, the use of computer software can save money, time, and resources in research. In the case of Nepal, the Integrated Microcomputer Processing System (IMPS) was in the census in 1991. STATA and SPSS software packages were used for data editing, management, and tabulation of the census results. Open Data Kit platform and CAPI was used for data collection and the CS Pro software was used for data management in various demographic studies in Nepal.

Tekoäly, koneoppiminen ja teknologinen murros:

Tekoälyn ja erityisesti uudet koneoppimisen tekniikat ovat teknologisen murroksen keskeisiä ajureita. Tänä päivänä koneoppiminen on myös yhä enemmän sulautumassa osaksi kehollista ja materiaalista maailmaa sekä vuorovaikutusta. Antureiden, verkkoyhteyksien ja tietokoneohjelmistojen kautta rakennukset, esineet ja tekstiilit ovat muuttumassa älykkäiden esineiden ja toimintojen verkostoiksi. Virtuaalisen, materiaalisen ja kehollisuuden uudenlainen kohtaaminen tarjoaa myös ennennäkemättömiä mahdollisuuksia sekä haasteita koneoppimisen sekä datalähtöisen suunnittelun ja innovoinnin tukemiseen kouluopetuksessa. Tämän artikkelin tavoitteena on rakentaa näkökulmia datatoimijuuteen sekä datalähtöiseen design-ajatteluun koneoppimisen muovaamassa maailmassa. Artikkeli esittelee digitaalisen, materiaalisen sekä kehollisuuden uudenlaisia mahdollisuuksia sekä riskejä, joka tuo koneoppimisen ajamaan murrokseen liittyviä näkökulmia osaksi käsityön ja teknologiakasvatuksen tulevaisuudesta käytävää tieteellistä ja julkista keskustelua. Artificial intelligence, machine learning, and technological transformation: Towards data agency and design skills for the future Abstract Artificial intelligence, and especially new machine learning technologies, are key drivers of technological breakthroughs. Today, machine learning is also increasingly merging into the physical and material world as well as into social interaction. Buildings, artifacts, and textiles are transforming into networks of smart objects and activities through sensors, network connectivity, and computer software. These novel encounters of virtual, material, and bodily interactions also offer unprecedented opportunities and challenges to enhance understandings of machine learning and data-driven design in school education. This article aims to build perspectives on data agency and data-driven design needed in the age of machine learning. It also provides perspectives on the blurring boundaries of virtual, material, and physical worlds and in a manner that brings the breakthrough of machine learning into the scientific and public discussion about the future of craft and technology education. Keywords: artificial intelligence, machine learning, data-driven design, technology education, skills for the future

Images Processing for Segmentation Neisseria Bacteria Cells

This paper introduces the segmentation of Neisseria bacterial meningitis images. Images segmentation is an operation of identifying the homogeneous location in a digital image. The basic idea behind segmentation called thresholding, which be classified as single thresholding and multiple thresholding. To perform images segmentation, transformations and morphological operations processes are used to segment the images, as well as image transformation an edge detecting, filling operation, design structure element, and arithmetic operations technique is used to implement images segmentation. The images segmentation represent significant step in extracting images features and diagnoses the disease by computer software applications.

Optimal structure control for earthquake resistance

This work developed the optimal and active control algorithms applicable to structural control for earthquake resistance. [Lewis, F. L., Vrabie, D. and Syrmos, V. L. [2012] Optimal Control (John Wiley & Sons)] developed a rigorous and comprehensive procedure for the derivation of an optimal control strategy based on the calculus of variation. This work is an application of Lewis’ formulation to the control of a structure for earthquake resistance. We developed a computer software which can be used to generate a dynamic model to simulate a planar structure and to construct the control law. This model also includes the tendon driven actuators, sensors and true history of earthquake excitation. The control law has two parts: (I) the feedback control which depends on the estimate state variables (Kalman filter) and (II) the record of the realistic earthquake excitation. The optimal control problem eventually leads to a two-point boundary value problem whose solution hinges on the knowledge of the entire history of the earthquake excitation. We employ true records of earthquake excitation as input. This approach enables one to solve the Riccati equations rigorously. Then, from the simulation results, one may study the relations between the control algorithm design and the characteristics (frequency, amplitude and duration) of earthquake excitation.

Experiences of Students with Visual Impairments at an Open Distance and e-Learning University in South Africa: Counselling Perspective

The purpose of the qualitative study on which this article is based was to explore the experiences of students with visual impairments registered at an Open Distance and e-Learning University in South Africa, through a phenomenological research design. Literature was reviewed on student support in distance education and concepts from the critical disability theory, biopsychosocial model of disability, connectivism and affect theories formed the conceptual framework for the study. Telephonic semi-structured interviews were used as a technique to collect data from seven participants. Data were transcribed and then coded employing ATLAS.ti. The emerged themes centred on students’ counselling experiences, the synergy between the departments, and accessibility of services. It was also determined that students lose academic time due to the lack of resources and study materials in alternative and accessible formats. While policies and implementation plans were claimed to be in place, they do not address the reality on the ground due to a lack of coordination of disability issues, and late referral of students to counselling services. The study recommends the prioritisation of disability issues, and it needs to be incorporated in the wider university’s strategic plan to accelerate its implementation. This will translate to (i) training ICT staff on various computer software programs needed to support students with visual impairments, (ii) developing alternative formative and summative assessments, (iii) developing a graduateness and job readiness intervention programme to empower the students financially and add value to the university’s employment equity agenda, and lastly (iv) putting the disability unit at the centre of all disability matters for coordinating purposes.