The impact of the spread of COVID-19 сoronavirus infection on the implementation of the national project "International cooperation and export" in the short and long terms

The relevance of the study is explained by the fact that the spread of the coronavirus epidemic has become a serious challenge to achieve the goals and objectives set by the national project, especially taking into account the need to obtain relevant results already in 2030. The author analyzed the impact of the pandemic on the results of achieving the corresponding milestones of federal projects in the short term - in particular, the degree of achievement of the parameters of federal projects in the dock 2019 and in the crisis year 2020 was considered. The long-term implications of the coronavirus-related restrictions are also considered, including in the aspect of a qualitative change in the national project as a whole, associated with a change in the federal projects that fill it. Based on the results of studying the issue, the author presents scenarios about the possibility of implementing a national project by 2030, taking into account the existing market situation, and also gives recommendations on possible mechanisms for the successful completion of all project activities within the timeframes determined by the President of the Russian Federation.

Management of Big Data Projects

Big data is an emerging area of research that is of interest to various fields; however, studies in the literature and various sources claim that failure rates for big data projects are considerably high. There are different reasons for failure; varying from management processes to the use of wrong technologies. This study investigates how the project management framework proposed by Project Management Institute (PMI) can be effectively adapted to big data projects to reduce failure rates. The application of processes as mentioned in this study can help to eliminate the causes of failure in the early stages of the project; thus, increasing the successful completion rate of such projects.

Methodology for solving the task no. 8 of the unified state exam in informatics and ICT by a combinatory method and method of programming on python

The article discusses the metodology for solving the task No. 8 of the Unified State Exam in informatics and ICT in two ways: by mathematical combinatorial calculation and writing a program in the Python programming language. The purpose of this methodology is the successful completion of task No. 8 (until 2021 — No. 10) in the Unified State Exam in informatics and ICT by graduates. The article is of an interdisciplinary nature, touches upon issues at the intersection of mathematics and informatics. The relevance of the work is due to the fact that tasks of this type are annually present in the Unified State Exam in informatics and ICT, but the success of this task is too low for tasks of the basic level of complexity. The use of programming tools in the Unified State Exam in informatics and ICT is available starting in 2021. The scientific novelty of the work lies in the use of the Python programming language to solve tasks of this type. The peculiarity of the metodology lies in the gradual increase in the complexity of the algorithms and the "modular" application of parts of the code, which allows using the "modules" of previous tasks to solve subsequent ones. Specific versions of the programs are proposed, a comparative analysis of methods for various prototypes of the corresponding tasks is given. As a result, it was determined that task No. 8 can be effectively solved by the programming method.

A novel approach for detection and classification of re-entrant crack using modified CNNetwork

Purpose In the purpose of the section, the cracks that are in the construction domain may be common and usually fixed with the human inspection which is at the visible range, but for the cracks which may exist at the distant place for the human eye in the same building but can be captured with the camera. If the crack size is quite big can be visible but few cracks will be present due to the flaws in the construction of walls which needs authentic information and confirmation about it for the successful completion of the wall cracks, as these cracks in the wall will result in the structure collapse. Design/methodology/approach In the modern era of digital image processing, it has captured the importance in all the domain of engineering and all the fields irrespective of the division of the engineering, hence, in this research study an attempt is made to deal with the wall cracks which are found or searched during the building inspection process, in the present context in association with the unique U-net architecture is used with convolutional neural network method. Findings In the construction domain, the cracks may be common and usually fixed with the human inspection which is at the visible range, but for the cracks which may exist at the distant place for the human eye in the same building but can be captured with the camera. If the crack size is quite big can be visible but few cracks will be present due to the flaws in the construction of walls which needs authentic information and confirmation about it for the successful completion of the wall cracks, as these cracks in the wall will result in the structure collapse. Hence, for the modeling of the proposed system, it is considered with the image database from the Mendeley portal for the analysis. With the experimental analysis, it is noted and observed that the proposed system was able to detect the wall cracks, search the flat surface by the result of no cracks found and it is successful in dealing with the two phases of operation, namely, classification and segmentation with the deep learning technique. In contrast to other conventional methodologies, the proposed methodology produces excellent performance results. Originality/value The originality of the paper is to find the portion of the cracks on the walls using deep learning architecture.

A digitális kitűző- és tanúsítványtárak problematikája és megoldási lehetőségei

A Budapesti Műszaki és Gazdaságtudományi Egyetem Mérnöktovábbképző Intézet (BME MTI) részvételével zajló DISCO VET projekt keretén belül kitűzött cél egy Open Badge szabványra épülő digitális kitűző és tanúsítvány-kezelő rendszer kialakítása. Nyílt forráskódban elérhető Badgr program képességei jelentik az alapszintet, de ezek továbbfejleszthetők. A képzési folyamatok eredményes teljesítésekor kiállítható digitális kitűzők (tüzzencsek, tanjelvények) kezelésének könnyítésére, általános használatba vételéhez, a közhasználatba való elterjesztéséhez megfelelő szolgáltatás, platform építhető. Within the framework of the DISCO VET project with the participation of the Institute of Continuing Engineering Education in Budapest (BME MTI) of the Budapest University of Technology and Economics (BME), the goal is to develop a digital badge and certificate management system based on the Open Badge standard. The capabilities of the open source Badgr program are the basics, but they can be improved. In order to facilitate the handling of digital badges (training badges) that can be issued upon the successful completion of the training processes, a suitable service and platform can be built for their general use and dissemination to the public.

Step-by-Step Model with Latent Parameters for Student Assessments

The article discusses the disadvantages of traditional approaches to statistical processing of assessments of intermediate attestations of students. We proposed a model in which the obtaining of the k grade on an ordinal scale is associated with the successful completion of k certification steps. By analogy with Item Response Theory used for processing test results the probability of a successful step is determined by latent parameters — the student's ability and the difficulty of the step. Methods for determining latent parameters from the estimates obtained and statistical procedures for checking the adequacy of the model are proposed. The data of processing the array of estimates are presented. The processing results confirmed the possibility of using the proposed mo­del for a more accurate assessment of students' ability and the difficulty of attestations.

Coiled Tubing Workflow Leads to Successful Completion of Multistage Fracturing in Extended-Reach Wells of Aishwarya Field, Barmer, India

Coiled tubing (CT) was used to perform multistage fracturing treatments from the CT-tubing annulus in extended-reach wells of Aishwarya Field, Barmer, India. The wells were completed with chrome completion and included multiple fracturing sleeves. With peculiar challenges faced, solutions and lessons learnt are herein captured. In particular, casing deformation was observed in transverse wells, for which the workflow was developed so the wells with post-fracturing casing deformation could be completed and delivered for production. During the initial phase of the campaign. CT got stuck eight times after fracturing due to casing deformation. In three instances, the bottomhole assembly was left in the hole, and twice the CT was cut for recovery. After the workflow was implemented, no CT stuck incidents occurred due to casing deformation, and all 16 transverse wells in the campaign were delivered successfully. This study highlights the importance of differentiating between transverse and longitudinal wells while understanding their implications. In wells where casing deformation can occur, the workflow for CT-assisted multistage fracturing (MSF) operations must be adjusted. A smaller outside diameter (OD) shifting tool needs to be used without a packer assembly, and the CT cannot stay in the well during fracturing.

Evaluation of a Paper-Based Checklist versus an Electronic Handover Tool Based on the Situation Background Assessment Recommendation (SBAR) Concept in Patients after Surgery for Congenital Heart Disease

(1) Background: we compare a new SBAR based electronic handover tool versus a paper-based checklist for handover in a pediatric intensive care unit (PICU). (2) Methods: this is a randomized, observational study of 40 electronic vs. 40 paper checklist handovers after pediatric cardiac surgery, with a 48 items checklist for comparison of reporting frequencies and notification of disturbances and noise. PICU staff satisfaction was evaluated by a 12-item questionnaire. (3) Results: in 14 out of 40 cases, there were problems with data processing (incomplete or no data processing). Some item groups (e.g., hemodynamics) were consistently reported at higher frequencies than other groups. Items not specifically asked for did not get reported. Some items, automatically processed in the SBAR handover page, did not get reported. Many handovers suffered a noisy and distracting atmosphere. There was no difference in staff satisfaction between the two handover approaches. Nurses were highly unsatisfied with the general approach by which the handover was performed. (4) Conclusions: human error appears to be a main factor for unreliable data processing. Software is still too complicated, and multitasking is a stressful and error prone event. Handover is a complex task with many factors required for a successful completion.

Predictor of Early Administration of Antibiotics and a Volume Resuscitation for Young Infants with Septic Shock

(1) Background: It is critical to administer antibiotics and fluid bolus within 1 h of recognizing sepsis in pediatric patients. This study aimed to identify the predictor of the successful completion of a 1-h sepsis bundle for infants with suspected sepsis. (2) Methods: This is an observational study using a prospective registry including febrile young infants (aged < 90 days) who visited a pediatric emergency department with a core body temperature of 38.0 °C or higher and 36.0 °C or lower. Univariate and logistic regression analyses were conducted to determine the predictor (s) of successful sepsis bundle completion. (3) Results: Of the 323 registered patients, 118 patients with suspected sepsis were analyzed, and 38 patients (32.2%) received a bundle-compliant treatment. Among potential variables, such as age, sex, and vital sign parameters, the logistic regression analysis showed that heart rate (odds ratio: OR 1.02; 95% confidence interval: 1.00–1.04) is a significant predictor of the completion of a 1-h sepsis bundle. (4) Conclusions: We found that tachycardia facilitated the sepsis recognition and promoted the successful completion of a 1-h sepsis bundle for young infants with suspected septic shock and a possible indicator for improving the quality of the team-based sepsis management.