Effect of Ratio of Liquid Pigment on Colouring Cement Matrix

2019 ◽  
Vol 296 ◽  
pp. 3-8
Author(s):  
David Bujdoš ◽  
Lucia Bulíková

Nowadays, the colouring is used in wide range of architectural concrete. Therefore, determination efficiency of pigments in case of particular combination of input materials is necessary. The research deals with influence of concentration of liquid inorganic pigments on the resulting colour of cement mortars. Two liquid pigments (yellow, red) were used for measurement purposes to verify their optimal ratio to achieve the best colouring of cement specimens. Pigments were mixed in the mortars of two types of cements used for architectural and decorative design. The colour change was determined using Konica Minolta spectrophotometer in colour space CIE Lab (1976). General definition of deviation in the colour space ΔELab was applied for calculating of colour deviation. From the results of the laboratory tests is obvious that significant change of the colour of cement specimens do not show between the concentration of 6% and 9% of the pigment per cement weight yet. Consequently, using of high ratio of pigment than 9% is not profitable neither for purchaser, nor builder. Future research will focus on trials with a more elaborate share of pigment and it will have importance for price optimization in the construction industry.

2020 ◽  
Author(s):  
Xiaojie Guo ◽  
Liang Zhao

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios. As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs. Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs. Recent advances in deep generative models for graph generation is an important step towards improving the fidelity of generated graphs and paves the way for new kinds of applications. This article provides an extensive overview of the literature in the field of deep generative models for graph generation. Firstly, the formal definition of deep generative models for the graph generation as well as preliminary knowledge is provided. Secondly, two taxonomies of deep generative models for unconditional, and conditional graph generation respectively are proposed; the existing works of each are compared and analyzed. After that, an overview of the evaluation metrics in this specific domain is provided. Finally, the applications that deep graph generation enables are summarized and five promising future research directions are highlighted.


1991 ◽  
Vol 5 (2) ◽  
pp. 140-151 ◽  
Author(s):  
Jane Sullivan ◽  
Ken P. Hodge

This investigation examined the current use and status of sport psychology in New Zealand. National coaches (n=46) and elite athletes (n=68) completed appropriate questionnaires that assessed their perceptions of sport psychology. They also indicated the importance of and the success they felt they had in changing and/or developing 21 psychological skills. Finally they were asked about their actual use of sport psychology and any problem areas. A general definition of sport psychology was given and sport psychology was rated by both coaches and athletes as being very important. Most coaches and athletes reported using it regularly. A positive response was received, with virtually all coaches and most athletes indicating they would be interested in having a sport psychologist work with them. Implications of the results are discussed and future research and practical recommendations are made.


2021 ◽  
Author(s):  
Ayse Kok Arslan

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.


Author(s):  
Nir Lipovetzky

Width-based algorithms search for solutions through a general definition of state novelty. These algorithms have been shown to result in state-of-the-art performance in classical planning, and have been successfully applied to model-based and model-free settings where the dynamics of the problem are given through simulation engines. Width-based algorithms performance is understood theoretically through the notion of planning width, providing polynomial guarantees on their runtime and memory consumption. To facilitate synergies across research communities, this paper summarizes the area of width-based planning, and surveys current and future research directions.


2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Givi AMAGHLOBELI

The aim of the given work is to identify and classify the types of political discourses that (may) exist in any particular society. Compared to existing definitions and classifications, our purpose serves a practical goal of schematic classification of political discourses. The article intends to give a starting point for a general classification and typology that will be elaborated within the framework of future research, as typology of discourse specimens is the least developed area of the field (van Dijk, 1997). Definitions/typologies that have been made until now are more of a theoretical character and, therefore, it would be useful to create more concrete mental pictures (expressed in the forms of schemata) that will enable us to operate easier with the concepts discussed while studying the subject. The article starts with the general definition of the term(s) and links the concept of discourse to other concepts like narrative, frame, ideology, discursive strategy. As we try to show the ideology/narrative/discourse link, formulation of corresponding schemes also gain importance in order to have a clearer mental picture of the above mentioned correlation. In parallel with the above mentioned points we also emphasize correlation between the dominant / secondary discourses with specific focus on ideological differences/power struggle. 


2019 ◽  
Vol 48 (3) ◽  
pp. 268-279 ◽  
Author(s):  
Chloe Y. Shu ◽  
Amy O’Brien ◽  
Hunna J. Watson ◽  
Rebecca A. Anderson ◽  
Tracey D. Wade ◽  
...  

AbstractBackground:Perfectionism is a transdiagnostic risk factor across psychopathology. The Clinical Perfectionism Questionnaire (CPQ) was developed to assess change in order to provide clinical utility, but currently the psychometric properties of the CPQ with adolescents is unknown.Aims:To assess the factor structure and construct validity of the CPQ in female adolescents.Method:The CPQ was administered to 267 females aged 14–19 years of age. Confirmatory factor analysis (CFA) was used to examine the validity of the two-factor model and a second-order factor model. Pearson correlations were used to evaluate the relationships between the CPQ and a wide range of measures of perfectionism, psychopathology and personality traits.Results:The study demonstrated internal consistency, construct validity and incremental validity of the CPQ in a sample of female adolescents. The CFA in the present study confirmed the two-factor model of the CPQ with Factor 1 relating to perfectionistic strivings and Factor 2 representing perfectionistic concerns. The second-order two factor model indicated no deterioration in fit.Conclusions:The two-factor model of the CPQ fits with the theoretical definition of clinical perfectionism where the over-dependence of self-worth on achievement and concern over mistakes are key elements. The CPQ is suitable for use with female adolescents in future research that seeks to better understand the role of perfectionism in the range of mental illnesses that impact youth.


2019 ◽  
Vol 33 (24) ◽  
pp. 1950287 ◽  
Author(s):  
Igor V. Ovchinnikov ◽  
Massimiliano Di Ventra

Chaos is an ubiquitous and fundamental phenomenon with a wide range of features pointing to a similar phenomenology. Although apparently distinct, it is natural to ask if all these features emerge from a unifying principle. Recently, it was realized that all continuous-time stochastic dynamical systems (DSs) — the most relevant in physics because natural DSs are always subject to noise and time is continuous — possess a topological supersymmetry (TS). It was then suggested that its spontaneous breakdown could be interpreted as the stochastic generalization of deterministic chaos. This conclusion stems from the fact that such phenomenon encompasses features that are traditionally associated with chaotic dynamics such as non-integrability, positive topological entropy, sensitivity to initial conditions and the Poincaré–Bendixson theorem. Here, we strengthen and complete this picture by showing that the remaining hallmarks of deterministic chaos — topological transitivity/mixing and dense periodic orbits — while being consistent with the TS breaking, do not actually admit a stochastic generalization. This is a major limitation, since all physical systems are always noisy to some extent. We, therefore, conclude that spontaneous TS breaking can be considered as the most general definition of continuous-time dynamical chaos. Contrary to the common perception and semantics of the word “chaos,” this phenomenon should then be truly interpreted as the low-symmetry, or ordered phase of the DSs that manifest it. We also argue that the concept of chaos in low-dimensional, discrete-time DSs that do not obey the Poincaré–Bendixson theorem, is related to the explicit TS breaking.


Antibiotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 269 ◽  
Author(s):  
Samuel Shor ◽  
Christine Green ◽  
Beatrice Szantyr ◽  
Steven Phillips ◽  
Kenneth Liegner ◽  
...  

Objective: Chronic Lyme disease has been a poorly defined term and often dismissed as a fictitious entity. In this paper, the International Lyme and Associated Diseases Society (ILADS) provides its evidence-based definition of chronic Lyme disease. Definition: ILADS defines chronic Lyme disease (CLD) as a multisystem illness with a wide range of symptoms and/or signs that are either continuously or intermittently present for a minimum of six months. The illness is the result of an active and ongoing infection by any of several pathogenic members of the Borrelia burgdorferi sensu lato complex (Bbsl). The infection has variable latency periods and signs and symptoms may wax, wane and migrate. CLD has two subcategories, CLD, untreated (CLD-U) and CLD, previously treated (CLD-PT). The latter requires that CLD manifestations persist or recur following treatment and are present continuously or in a relapsing/remitting pattern for a duration of six months or more. Methods: Systematic review of over 250 peer reviewed papers in the international literature to characterize the clinical spectrum of CLD-U and CLD-PT. Conclusion: This evidence-based definition of chronic Lyme disease clarifies the term’s meaning and the literature review validates that chronic and ongoing Bbsl infections can result in chronic disease. Use of this CLD definition will promote a better understanding of the infection and facilitate future research of this infection.


2021 ◽  
Vol 21 ◽  
pp. 26-34
Author(s):  
Ayse Kok Arslan

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.


Author(s):  
О. Г. Гребеніков

The development of unmanned aerial vehicles is of great interest to both the largest aircraft companies and design enthusiasts, and among the total volume of developments, the volume of multicopter unmanned aerial vehicles occupies one of the leading positions. In this regard, the analysis of existing developments and the definition of future research in this direction is relevant. Multi-helicopter drones have a wide range of functions in both military and civilian use.The paper collects and analyzes statistical data of micro-unmanned aerial vehicles of the multicopter type to determine the achievements in the field of design of micro-unmanned aerial vehicles (UAVs). The current classification of UAVs is considered; as a result of the analysis of statistical data its expansion is offered. The take-off and mass characteristics of the micro UAV are described. The tables showing the existing UAVs are given. In addition, the flight characteristics, aerodynamic schemes and type of engine that are most rationally suited for micro-unmanned aerial vehicles according to their purpose and class are determined.Based on the obtained data, a prototype model of a micro-UAV with improved characteristics was built. The model successfully completed all tasks. This indicates that the new UAV "Fear-1" is a successful project and it has the ability to remotely control by phone or any other equipment designed for this purpose. In addition, the designed device can additionally hang in the specified coordinates."Fear-1" confidently performs tasks in automatic mode, as well as independently decides to return to the starting point of takeoff, if: there is a loss of communication, the battery level has reached a certain level, the UAV has completed its task or used more miles -amperes than specified by the output parameters. The drone has the ability to fly in "Follow me" mode on the selected GPS transmitter. The quadcopter was tested in difficult weather conditions, when the wind force reached 8 points (about 22 m / s). Noise immunity tests were also performed in the industrial frequency range (from 2.4 GHz to 5.8 GHz).


Sign in / Sign up

Export Citation Format

Share Document